MENU
The Electronic Scholarly Publishing Project: Providing world-wide, free access to classic scientific papers and other scholarly materials, since 1993.
More About: ESP | OUR CONTENT | THIS WEBSITE | WHAT'S NEW | WHAT'S HOT
ESP: PubMed Auto Bibliography 03 Nov 2025 at 01:31 Created:
Metagenomics
While genomics is the study of DNA extracted from individuals — individual cells, tissues, or organisms — metagenomics is a more recent refinement that analyzes samples of pooled DNA taken from the environment, not from an individual. Like genomics, metagenomic methods have great potential in many areas of biology, but none so much as in providing access to the hitherto invisible world of unculturable microbes, often estimated to comprise 90% or more of bacterial species and, in some ecosystems, the bulk of the biomass. A recent describes how this new science of metagenomics is beginning to reveal the secrets of our microbial world: The opportunity that stands before microbiologists today is akin to a reinvention of the microscope in the expanse of research questions it opens to investigation. Metagenomics provides a new way of examining the microbial world that not only will transform modern microbiology but has the potential to revolutionize understanding of the entire living world. In metagenomics, the power of genomic analysis is applied to entire communities of microbes, bypassing the need to isolate and culture individual bacterial community members.
Created with PubMed® Query: ( metagenomic OR metagenomics OR metagenome ) NOT pmcbook NOT ispreviousversion
Citations The Papers (from PubMed®)
            RevDate: 2025-11-02
CmpDate: 2025-11-02
          
Metagenomic investigations of microbial community response and antibiotic resistance genes in river sediments polluted by perfluoroalkyl acids.
Journal of environmental sciences (China), 160:300-307.
Liquid-solid phase transfer promotes the interaction of perfluoroalkyl acids (PFAAs) with the microbial system of river sediments, which may affect the environmental behavior of antibiotic resistance genes (ARGs) contained in benthic environments. Sediments collected from the receiving water of the largest fluoropolymer production facility in China were analyzed to investigate the impact of PFAAs on microbial communities and ARG profiles. The main contributors to the PFAAs were perfluorooctanoic acid and perfluorobutanoic acid, whose proportions (86.9 %-93.4 %) in the downstream surface sediments affected by industrial effluents were significantly higher than in the corresponding upstream samples (53.3 %). A reduction in microbial diversity and richness was observed in the presence of high concentrations of PFAAs at the downstream sites. 144 ARG subtypes, including three high-risk subtypes (bacA, aac (6')-I and aadA), were identified in sediment samples. The discharge of fluorochemical effluents also results in a reduction of ARG diversity at subtype level. PFAAs exert a pronounced influence on the profile of ARGs in sediment. PFAAs and water quality parameters (e.g. pH and total phosphorus) were key drivers of the microbial community composition in the sediment. The regulation of microbial communities by PFAAs may represent an important pathway by which these compounds affect ARG profiles.
Additional Links: PMID-41177609
Publisher:
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41177609,
            year = {2026},
            author = {Lu, N and Du, Z and Feng, G and Xin, X and Che, M and Jia, R and Chu, W},
            title = {Metagenomic investigations of microbial community response and antibiotic resistance genes in river sediments polluted by perfluoroalkyl acids.},
            journal = {Journal of environmental sciences (China)},
            volume = {160},
            number = {},
            pages = {300-307},
            doi = {10.1016/j.jes.2025.04.024},
            pmid = {41177609},
            issn = {1001-0742},
            mesh = {*Fluorocarbons/analysis/toxicity ; *Water Pollutants, Chemical/analysis/toxicity ; *Geologic Sediments/microbiology/chemistry ; Rivers/microbiology/chemistry ; *Drug Resistance, Microbial/genetics ; China ; *Environmental Monitoring ; Metagenomics ; *Microbiota/drug effects ; Caprylates/toxicity ; },
            abstract = {Liquid-solid phase transfer promotes the interaction of perfluoroalkyl acids (PFAAs) with the microbial system of river sediments, which may affect the environmental behavior of antibiotic resistance genes (ARGs) contained in benthic environments. Sediments collected from the receiving water of the largest fluoropolymer production facility in China were analyzed to investigate the impact of PFAAs on microbial communities and ARG profiles. The main contributors to the PFAAs were perfluorooctanoic acid and perfluorobutanoic acid, whose proportions (86.9 %-93.4 %) in the downstream surface sediments affected by industrial effluents were significantly higher than in the corresponding upstream samples (53.3 %). A reduction in microbial diversity and richness was observed in the presence of high concentrations of PFAAs at the downstream sites. 144 ARG subtypes, including three high-risk subtypes (bacA, aac (6')-I and aadA), were identified in sediment samples. The discharge of fluorochemical effluents also results in a reduction of ARG diversity at subtype level. PFAAs exert a pronounced influence on the profile of ARGs in sediment. PFAAs and water quality parameters (e.g. pH and total phosphorus) were key drivers of the microbial community composition in the sediment. The regulation of microbial communities by PFAAs may represent an important pathway by which these compounds affect ARG profiles.},
            }
          
MeSH Terms:
show MeSH Terms
hide MeSH Terms
*Fluorocarbons/analysis/toxicity
*Water Pollutants, Chemical/analysis/toxicity
*Geologic Sediments/microbiology/chemistry
Rivers/microbiology/chemistry
*Drug Resistance, Microbial/genetics
China
*Environmental Monitoring
Metagenomics
*Microbiota/drug effects
Caprylates/toxicity
          
RevDate: 2025-11-02
Microalgae-mediated shaping of bacterial communities enhances antibiotic removal and antibiotic resistance control.
Bioresource technology pii:S0960-8524(25)01544-5 [Epub ahead of print].
The microalgae-bacteria symbiosis sludge (MBSS) system offers a promising strategy for efficient wastewater treatment and nutrients upcycling. However, maintaining stable and effective performance facing antibiotic stress remains a significant challenge. This study explored the regulation strategy of microbial succession towards sulfadiazine (SDZ)-containing wastewater remediation while controlling antibiotic resistance genes (ARGs) spread in MBSS system. The MBSS achieved efficient SDZ removal of up to 99.8%, with an optimal microalgae-to-activated sludge inoculation ratio of 1:3. However, the highest nutrient upcycling efficiencies (33.7% for nitrogen and 98.6% for phosphorus) were observed at an inoculation ratio of 1:1. Metagenomics analysis revealed that genera Chlorella and Micractinium of Chlorophyta were strongly positively correlated with SDZ removal. Moreover, microalgae inoculation significantly modulated the microbial community structure, promoting the dominance of genera Rhodanobacter and Dokdonella in MBSS. This microbial succession could potentially facilitate bacterial co-degradation of SDZ and contribute to a substantially reduced level of ARGs (with the relative abundance of sul1 and sul2 decreasing to 22.9% post-treatment). Overall, the strategy of regulating microalgae inoculation in the MBSS significantly enhanced antibiotic removal and nutrient recovery while controlling the proliferation and spread of ARGs by directing microbial community succession.
Additional Links: PMID-41177409
Publisher:
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41177409,
            year = {2025},
            author = {Lin, S and Pan, M and Ma, Y and Chen, Z and Lyu, T and Dong, R and Ruan, R and Liu, S},
            title = {Microalgae-mediated shaping of bacterial communities enhances antibiotic removal and antibiotic resistance control.},
            journal = {Bioresource technology},
            volume = {},
            number = {},
            pages = {133577},
            doi = {10.1016/j.biortech.2025.133577},
            pmid = {41177409},
            issn = {1873-2976},
            abstract = {The microalgae-bacteria symbiosis sludge (MBSS) system offers a promising strategy for efficient wastewater treatment and nutrients upcycling. However, maintaining stable and effective performance facing antibiotic stress remains a significant challenge. This study explored the regulation strategy of microbial succession towards sulfadiazine (SDZ)-containing wastewater remediation while controlling antibiotic resistance genes (ARGs) spread in MBSS system. The MBSS achieved efficient SDZ removal of up to 99.8%, with an optimal microalgae-to-activated sludge inoculation ratio of 1:3. However, the highest nutrient upcycling efficiencies (33.7% for nitrogen and 98.6% for phosphorus) were observed at an inoculation ratio of 1:1. Metagenomics analysis revealed that genera Chlorella and Micractinium of Chlorophyta were strongly positively correlated with SDZ removal. Moreover, microalgae inoculation significantly modulated the microbial community structure, promoting the dominance of genera Rhodanobacter and Dokdonella in MBSS. This microbial succession could potentially facilitate bacterial co-degradation of SDZ and contribute to a substantially reduced level of ARGs (with the relative abundance of sul1 and sul2 decreasing to 22.9% post-treatment). Overall, the strategy of regulating microalgae inoculation in the MBSS significantly enhanced antibiotic removal and nutrient recovery while controlling the proliferation and spread of ARGs by directing microbial community succession.},
            }
          
RevDate: 2025-11-02
Biochar remodeled rhizosphere microbial community structure and function to alleviate sugar beet under fomesafen phytotoxicity.
Journal of environmental management, 395:127821 pii:S0301-4797(25)03797-1 [Epub ahead of print].
Residual fomesafen in soybean field soil can adversely affect subsequent sugar beet crops. Biochar has been shown to alleviate this damage, the regulatory mechanisms by which it influences the rhizosphere microbial community and its functions in the presence of fomesafen residues remain unclear. This study employed plant physiological assessments, amplicon sequencing, and metagenomic analysis to investigate root physiology, the rhizosphere soil microbial community, and their functional responses to fomesafen toxicity with biochar addition. By comparing sterilized soil with normal soil, that all measured indices in the sterilized soil were reduced, confirming that biochar mitigates fomesafen phytotoxicity through soil microorganisms. Biochar increased root biomass by 37.50 % under fomesafen residue stress, reduced malondialdehyde content in sugar beet roots, enhanced antioxidant enzyme activity, and improved soil multifunctionality by 13.95 %. Furthermore, biochar significantly restored the richness and diversity of rhizosphere fungi and bacteria under fomesafen residue stress. The relative abundance of Dehalococcoidia, a potential herbicide-degrading bacterium, increased significantly under fomesafen stress (90.32 %) and peaked under biochar mitigation treatment (94.02 %), suggesting its potential as a biomarker for fomesafen residues. Biochar alleviated fomesafen's impact on the microbial network, restoring it to a molecular ecological network similar to the control. Metagenomic analysis revealed that biochar increased the Calvin-Benson-Bassham cycle (29.87 %), the nitrogen fixation pathway (21.42 %), and the phosphate transport pathway (10.60 %). By enhancing soil multifunctionality and reshaping rhizosphere microbial communities, biochar improves the stress resistance of sugar beet roots and mitigates damage caused by fomesafen. This finding is significant for maintaining the microecological balance of the rhizosphere.
Additional Links: PMID-41177051
Publisher:
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41177051,
            year = {2025},
            author = {Guo, Y and Lin, X and Song, B and Zhao, C and Riaz, M and Ishfaq, M},
            title = {Biochar remodeled rhizosphere microbial community structure and function to alleviate sugar beet under fomesafen phytotoxicity.},
            journal = {Journal of environmental management},
            volume = {395},
            number = {},
            pages = {127821},
            doi = {10.1016/j.jenvman.2025.127821},
            pmid = {41177051},
            issn = {1095-8630},
            abstract = {Residual fomesafen in soybean field soil can adversely affect subsequent sugar beet crops. Biochar has been shown to alleviate this damage, the regulatory mechanisms by which it influences the rhizosphere microbial community and its functions in the presence of fomesafen residues remain unclear. This study employed plant physiological assessments, amplicon sequencing, and metagenomic analysis to investigate root physiology, the rhizosphere soil microbial community, and their functional responses to fomesafen toxicity with biochar addition. By comparing sterilized soil with normal soil, that all measured indices in the sterilized soil were reduced, confirming that biochar mitigates fomesafen phytotoxicity through soil microorganisms. Biochar increased root biomass by 37.50 % under fomesafen residue stress, reduced malondialdehyde content in sugar beet roots, enhanced antioxidant enzyme activity, and improved soil multifunctionality by 13.95 %. Furthermore, biochar significantly restored the richness and diversity of rhizosphere fungi and bacteria under fomesafen residue stress. The relative abundance of Dehalococcoidia, a potential herbicide-degrading bacterium, increased significantly under fomesafen stress (90.32 %) and peaked under biochar mitigation treatment (94.02 %), suggesting its potential as a biomarker for fomesafen residues. Biochar alleviated fomesafen's impact on the microbial network, restoring it to a molecular ecological network similar to the control. Metagenomic analysis revealed that biochar increased the Calvin-Benson-Bassham cycle (29.87 %), the nitrogen fixation pathway (21.42 %), and the phosphate transport pathway (10.60 %). By enhancing soil multifunctionality and reshaping rhizosphere microbial communities, biochar improves the stress resistance of sugar beet roots and mitigates damage caused by fomesafen. This finding is significant for maintaining the microecological balance of the rhizosphere.},
            }
          
RevDate: 2025-11-02
Impact of freeze-thaw cycle on metagenomics in subsurface wastewater infiltration systems: Ecological implications for greenhouse gas emissions.
Journal of environmental management, 395:127839 pii:S0301-4797(25)03815-0 [Epub ahead of print].
Nitrous oxide (N2O) is a potent greenhouse gas, with a global warming potential 273 times that of carbon dioxide (CO2) and is a significant byproduct of wastewater treatment. Subsurface wastewater infiltration systems (SWIS) effectively treat nitrate-rich wastewater but can also contribute to N2O emissions, particularly during freeze-thaw cycles. This study used metagenomics and [15]N isotope tracing to investigate the impacts of freeze-thaw on microbial ecology and nitrogen transformation in SWIS. Results show that freeze-thaw significantly increased abundances of denitrifying bacteria (Bradyrhizobium, Streptomyces and Nocardioides), on average, by 16-63 %. Denitrification genes (nirK and norB) were also increased by 40 ± 16 % and 22 ± 5 %, while the N2O reductase gene (nosZ) decreased by 19 ± 0.46 %. These impacts collectively increased N2O emissions by more than 20 %. During freezing, about one-third of the added [15]NO3[-]-N was recovered as gas (25 % as N2O and 13 % as N2), increasing to 43 % during thawing (29 % N2O and 15 % N2). This study underscores the need for targeted strategies N2O emission in SWIS, particularly under freeze-thaw conditions, to maximize their sustainability in wastewater treatment.
Additional Links: PMID-41177050
Publisher:
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41177050,
            year = {2025},
            author = {Su, F and Li, Y and Zhu, C and Gurmesa, GA and Fang, Y},
            title = {Impact of freeze-thaw cycle on metagenomics in subsurface wastewater infiltration systems: Ecological implications for greenhouse gas emissions.},
            journal = {Journal of environmental management},
            volume = {395},
            number = {},
            pages = {127839},
            doi = {10.1016/j.jenvman.2025.127839},
            pmid = {41177050},
            issn = {1095-8630},
            abstract = {Nitrous oxide (N2O) is a potent greenhouse gas, with a global warming potential 273 times that of carbon dioxide (CO2) and is a significant byproduct of wastewater treatment. Subsurface wastewater infiltration systems (SWIS) effectively treat nitrate-rich wastewater but can also contribute to N2O emissions, particularly during freeze-thaw cycles. This study used metagenomics and [15]N isotope tracing to investigate the impacts of freeze-thaw on microbial ecology and nitrogen transformation in SWIS. Results show that freeze-thaw significantly increased abundances of denitrifying bacteria (Bradyrhizobium, Streptomyces and Nocardioides), on average, by 16-63 %. Denitrification genes (nirK and norB) were also increased by 40 ± 16 % and 22 ± 5 %, while the N2O reductase gene (nosZ) decreased by 19 ± 0.46 %. These impacts collectively increased N2O emissions by more than 20 %. During freezing, about one-third of the added [15]NO3[-]-N was recovered as gas (25 % as N2O and 13 % as N2), increasing to 43 % during thawing (29 % N2O and 15 % N2). This study underscores the need for targeted strategies N2O emission in SWIS, particularly under freeze-thaw conditions, to maximize their sustainability in wastewater treatment.},
            }
          
RevDate: 2025-11-02
Identification of the dominant methanotrophs in trichloroethene degrading enrichment cultures from multiple sources.
Journal of hazardous materials, 499:140268 pii:S0304-3894(25)03188-7 [Epub ahead of print].
The current study examined the potential of bioremediation to clean up trichloroethene (TCE) contaminated sites using co-metabolic TCE biodegradation in methanotrophic enrichment cultures. Methanotrophic cultures were developed from both uncontaminated soils (agricultural soils) and impacted sediment from two sites. Following the enrichment of methanotrophs, the cultures were tested for their ability to degrade TCE. Whole genome sequencing data indicated the dominance of the genus Methylocystis and, to a lesser extent, the genera Methylobacter and Methylomicrobium. Fourteen Methylocystis, Methylobacter and Methylomicrobium metagenome assembled genomes (MAGs) were obtained. Twelve particulate methane monooxygenase operons (pmoCAB) were also obtained. The collected operons contained sequences similar to those classifying within the genera Methylocystis, Methylobacter and Methylomicrobium phylotypes. Three operons (mmoXYBZDC) were obtained for soluble methane monooxygenase, with mmoX classifying most closely to other Methylocystis mmoX genes. The newly obtained sequences were compared to commonly used primers for the biomarkers pmoA (A189f and mb661r) and mmoX (536 f and 898r). In summary, TCE degrading methanotrophic cultures were easily developed from both uncontaminated soils and impacted sediments and whole genome sequencing data indicated the importance of the genus Methylocystis across many of the methanotrophic enrichments.
Additional Links: PMID-41177031
Publisher:
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41177031,
            year = {2025},
            author = {Faghihinezhad, M and Eshghdoostkhatami, Z and Bernstein, A and Cupples, AM},
            title = {Identification of the dominant methanotrophs in trichloroethene degrading enrichment cultures from multiple sources.},
            journal = {Journal of hazardous materials},
            volume = {499},
            number = {},
            pages = {140268},
            doi = {10.1016/j.jhazmat.2025.140268},
            pmid = {41177031},
            issn = {1873-3336},
            abstract = {The current study examined the potential of bioremediation to clean up trichloroethene (TCE) contaminated sites using co-metabolic TCE biodegradation in methanotrophic enrichment cultures. Methanotrophic cultures were developed from both uncontaminated soils (agricultural soils) and impacted sediment from two sites. Following the enrichment of methanotrophs, the cultures were tested for their ability to degrade TCE. Whole genome sequencing data indicated the dominance of the genus Methylocystis and, to a lesser extent, the genera Methylobacter and Methylomicrobium. Fourteen Methylocystis, Methylobacter and Methylomicrobium metagenome assembled genomes (MAGs) were obtained. Twelve particulate methane monooxygenase operons (pmoCAB) were also obtained. The collected operons contained sequences similar to those classifying within the genera Methylocystis, Methylobacter and Methylomicrobium phylotypes. Three operons (mmoXYBZDC) were obtained for soluble methane monooxygenase, with mmoX classifying most closely to other Methylocystis mmoX genes. The newly obtained sequences were compared to commonly used primers for the biomarkers pmoA (A189f and mb661r) and mmoX (536 f and 898r). In summary, TCE degrading methanotrophic cultures were easily developed from both uncontaminated soils and impacted sediments and whole genome sequencing data indicated the importance of the genus Methylocystis across many of the methanotrophic enrichments.},
            }
          
RevDate: 2025-11-02
Bisphenol-A at an environmentally plausible dose caused gut microbiota-led impaired cognitive performances in adult mice.
Journal of hazardous materials, 499:140254 pii:S0304-3894(25)03174-7 [Epub ahead of print].
Omnipresent Bisphenol-A (BPA) exposure is linked to neurobehavioral deficits and gut dysbiosis. However, studies assessed its impact on cognitive performance at environmentally unrealistic doses. Nevertheless, the exact mechanism underlying the neurobehavioral phenotype, linking the role of gut microbiota is poorly understood. Here, we evaluated the effects of environmentally plausible dose of BPA-exposure on cognitive task performances with the functional analysis of gut metagenome to elucidate the role of microflora-gut-brain axis in behavioural regulation. Swiss albino mice were exposed to BPA for 5 weeks assessed for working and spatial navigation task performances. qRT-PCR based gene expression, histological investigation, gut permeability, molecular and biochemical markers of neuro-inflammation, leaky gut, oxido-nitrosative stress and 16 s rRNA gene based metagenomics with functional analysis were performed. BPA exposure altered the cognitive task performances (mean difference for transfer latency in elevated plus maze 20.84 ± 5.64 sec in and -13.12 ± 3.53 in Morris' water maze), changed serotonin levels (-70.95 ± 21.43) and acetylcholinesterase activity (0.0032 ± 0.0008), enhanced ileal permeability (12.36 ± 3.56) and systemic and tissue level inflammation (increased brain LPS, TNF-a, IL-1b, IL-6 and circulating TNF-a and IL-1b), coupled with reduced SCFAs levels (acetate; 32.48 ± 8.48, and butyrate; 28.16 ± 9.86). Faecal microbial transplant cohort replicated similar behavioural, biochemical and molecular patterns, suggesting the role of gut-microbiota in the phenotype determination. Functional pathways prediction suggested altered serotonin, dopamine, SCFAs metabolism and LPS biosynthesis. BPA at a much lower but environmentally relevant dose altered the cognitive performances, which has potential linkage to gut-microbiota mediated pathways.
Additional Links: PMID-41177025
Publisher:
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41177025,
            year = {2025},
            author = {Singh, DP and Bijalwan, V and Poonam, J and Lal, R and Palkhade, R and Viramgami, A and Vidhani, H and Kumar, A and Bishnoi, M and Das, S},
            title = {Bisphenol-A at an environmentally plausible dose caused gut microbiota-led impaired cognitive performances in adult mice.},
            journal = {Journal of hazardous materials},
            volume = {499},
            number = {},
            pages = {140254},
            doi = {10.1016/j.jhazmat.2025.140254},
            pmid = {41177025},
            issn = {1873-3336},
            abstract = {Omnipresent Bisphenol-A (BPA) exposure is linked to neurobehavioral deficits and gut dysbiosis. However, studies assessed its impact on cognitive performance at environmentally unrealistic doses. Nevertheless, the exact mechanism underlying the neurobehavioral phenotype, linking the role of gut microbiota is poorly understood. Here, we evaluated the effects of environmentally plausible dose of BPA-exposure on cognitive task performances with the functional analysis of gut metagenome to elucidate the role of microflora-gut-brain axis in behavioural regulation. Swiss albino mice were exposed to BPA for 5 weeks assessed for working and spatial navigation task performances. qRT-PCR based gene expression, histological investigation, gut permeability, molecular and biochemical markers of neuro-inflammation, leaky gut, oxido-nitrosative stress and 16 s rRNA gene based metagenomics with functional analysis were performed. BPA exposure altered the cognitive task performances (mean difference for transfer latency in elevated plus maze 20.84 ± 5.64 sec in and -13.12 ± 3.53 in Morris' water maze), changed serotonin levels (-70.95 ± 21.43) and acetylcholinesterase activity (0.0032 ± 0.0008), enhanced ileal permeability (12.36 ± 3.56) and systemic and tissue level inflammation (increased brain LPS, TNF-a, IL-1b, IL-6 and circulating TNF-a and IL-1b), coupled with reduced SCFAs levels (acetate; 32.48 ± 8.48, and butyrate; 28.16 ± 9.86). Faecal microbial transplant cohort replicated similar behavioural, biochemical and molecular patterns, suggesting the role of gut-microbiota in the phenotype determination. Functional pathways prediction suggested altered serotonin, dopamine, SCFAs metabolism and LPS biosynthesis. BPA at a much lower but environmentally relevant dose altered the cognitive performances, which has potential linkage to gut-microbiota mediated pathways.},
            }
          
RevDate: 2025-11-01
Forest cover influences the fecal virome of Oligoryzomys nigripes in Atlantic Forest remnants, Brazil.
Acta tropica pii:S0001-706X(25)00363-8 [Epub ahead of print].
Landscape changes driven by human activities can alter host-pathogen interactions, favoring generalist mammal species that act as reservoirs for zoonotic pathogens, potentially leading to spillover events and outbreaks. Here, we investigated how forest cover influences viral diversity in Oligoryzomys nigripes, a generalist rodent known to harbor zoonotic viruses in the Brazilian Atlantic Forest. We employed high-throughput sequencing to explore the fecal virome of 20 specimens collected across three landscapes with varying forest cover (20%, 40%, and 60%) within Atlantic Forest fragments in São Paulo state. We identified 48 viral families, predominantly bacteriophages and vertebrate-associated viruses. Some, found for the first time in this host, exhibited zoonotic potential, including Papillomaviridae, Herpesviridae, Polyomaviridae, Adenoviridae, Alloherpesviridae, Arenaviridae, Paramyxoviridae, Peribunyaviridae, and Picornaviridae. Alpha and beta diversity indices were used to assess the viral community structure. Although alpha diversity indices did not show a statistically significant difference among landscapes, a significant compositional difference in viral community was detected through beta diversity index (Jaccard dissimilarity), indicating that forest cover may shape the composition of viral families present. The presence of a core virome shared across all landscapes, including families with pathogenic potential, reinforces O. nigripes role as a natural reservoir. While forest cover influences viral community structure, it doesn't necessarily reflect greater ecological complexity within fragments, indicating that other landscape-related factors must also be considered. This pioneering study characterizes the fecal virome of O. nigripes, revealing how forest cover may shape viral communities in wild rodents and underscoring their potential for zoonotic virus surveillance.
Additional Links: PMID-41176044
Publisher:
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41176044,
            year = {2025},
            author = {Sodré, IC and Prist, PR and Mancini, MCS and Bettoni-RodrÃguez, G and de Andreazzi, CS and Tambosi, LR and Dos Santos, AFA and da Costa, MDF and Bueno, MG},
            title = {Forest cover influences the fecal virome of Oligoryzomys nigripes in Atlantic Forest remnants, Brazil.},
            journal = {Acta tropica},
            volume = {},
            number = {},
            pages = {107894},
            doi = {10.1016/j.actatropica.2025.107894},
            pmid = {41176044},
            issn = {1873-6254},
            abstract = {Landscape changes driven by human activities can alter host-pathogen interactions, favoring generalist mammal species that act as reservoirs for zoonotic pathogens, potentially leading to spillover events and outbreaks. Here, we investigated how forest cover influences viral diversity in Oligoryzomys nigripes, a generalist rodent known to harbor zoonotic viruses in the Brazilian Atlantic Forest. We employed high-throughput sequencing to explore the fecal virome of 20 specimens collected across three landscapes with varying forest cover (20%, 40%, and 60%) within Atlantic Forest fragments in São Paulo state. We identified 48 viral families, predominantly bacteriophages and vertebrate-associated viruses. Some, found for the first time in this host, exhibited zoonotic potential, including Papillomaviridae, Herpesviridae, Polyomaviridae, Adenoviridae, Alloherpesviridae, Arenaviridae, Paramyxoviridae, Peribunyaviridae, and Picornaviridae. Alpha and beta diversity indices were used to assess the viral community structure. Although alpha diversity indices did not show a statistically significant difference among landscapes, a significant compositional difference in viral community was detected through beta diversity index (Jaccard dissimilarity), indicating that forest cover may shape the composition of viral families present. The presence of a core virome shared across all landscapes, including families with pathogenic potential, reinforces O. nigripes role as a natural reservoir. While forest cover influences viral community structure, it doesn't necessarily reflect greater ecological complexity within fragments, indicating that other landscape-related factors must also be considered. This pioneering study characterizes the fecal virome of O. nigripes, revealing how forest cover may shape viral communities in wild rodents and underscoring their potential for zoonotic virus surveillance.},
            }
          
RevDate: 2025-11-01
Characterization of propanotrophic enrichments from agricultural soils capable of 1,4-dioxane biodegradation to sub-μg/L levels.
The Science of the total environment, 1005:180824 pii:S0048-9697(25)02464-7 [Epub ahead of print].
Major challenges to 1,4-dioxane bioremediation concern chemical characteristics that result in migration and persistence, often resulting in large and dilute plumes. In this study, the objectives were to 1) develop propanotrophic enrichment cultures from agricultural soils and determine if they could degrade high and low concentrations of 1,4-dioxane, 2) investigate the feasibility of bioaugmentation for 1,4-dioxane biodegradation in laboratory microcosms and 3) identify dominant propanotrophs and propane monooxygenase genes in the propanotrophic enrichments. Agricultural soils were selected as inocula as they commonly contain microorganisms capable of the biodegradation of a wide range of agricultural chemicals. Propanotrophic enrichment cultures were established from three soils by repeatedly amending propane. Following this, the biodegradation trends for high (3 mg/L) and low (∼200 μg/L) concentrations of 1,4-dioxane were investigated. The experiments also involved bioaugmentation to impacted site sediment microcosms. Prior to their use in bioaugmentation, DNA was extracted from the propanotrophic cultures for shotgun sequencing and analyses with KBase. The easy development of propanotrophic enrichments from agricultural soils suggests a natural abundance of propanotrophs in the soils. Rapid (often <2 weeks) 1,4-dioxane biodegradation was observed in the enrichment cultures at high or low 1,4-dioxane concentrations. 1,4-Dioxane was degraded close to or below the limit of detection (0.46 μg/L) following bioaugmentation. Eighteen propanotrophic metagenome assembled genomes, classifying as Methylibium, Mycobacterium, Rhodococcus opacus, Rhodococcus wratislaviensis and Mesorhizobium, contained full propane monooxygenase operons. Sequences for twenty-two propane monooxygenase operons were retrieved. Sequences for one subunit (prmA) were compared to the closest matches in GenBank. Overall, the developed cultures have potential for use in bioaugmentation to address in situ 1,4-dioxane contamination.
Additional Links: PMID-41175772
Publisher:
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41175772,
            year = {2025},
            author = {Eshghdoostkhatami, Z and Li, Z and Faghihinezhad, M and Cupples, AM},
            title = {Characterization of propanotrophic enrichments from agricultural soils capable of 1,4-dioxane biodegradation to sub-μg/L levels.},
            journal = {The Science of the total environment},
            volume = {1005},
            number = {},
            pages = {180824},
            doi = {10.1016/j.scitotenv.2025.180824},
            pmid = {41175772},
            issn = {1879-1026},
            abstract = {Major challenges to 1,4-dioxane bioremediation concern chemical characteristics that result in migration and persistence, often resulting in large and dilute plumes. In this study, the objectives were to 1) develop propanotrophic enrichment cultures from agricultural soils and determine if they could degrade high and low concentrations of 1,4-dioxane, 2) investigate the feasibility of bioaugmentation for 1,4-dioxane biodegradation in laboratory microcosms and 3) identify dominant propanotrophs and propane monooxygenase genes in the propanotrophic enrichments. Agricultural soils were selected as inocula as they commonly contain microorganisms capable of the biodegradation of a wide range of agricultural chemicals. Propanotrophic enrichment cultures were established from three soils by repeatedly amending propane. Following this, the biodegradation trends for high (3 mg/L) and low (∼200 μg/L) concentrations of 1,4-dioxane were investigated. The experiments also involved bioaugmentation to impacted site sediment microcosms. Prior to their use in bioaugmentation, DNA was extracted from the propanotrophic cultures for shotgun sequencing and analyses with KBase. The easy development of propanotrophic enrichments from agricultural soils suggests a natural abundance of propanotrophs in the soils. Rapid (often <2 weeks) 1,4-dioxane biodegradation was observed in the enrichment cultures at high or low 1,4-dioxane concentrations. 1,4-Dioxane was degraded close to or below the limit of detection (0.46 μg/L) following bioaugmentation. Eighteen propanotrophic metagenome assembled genomes, classifying as Methylibium, Mycobacterium, Rhodococcus opacus, Rhodococcus wratislaviensis and Mesorhizobium, contained full propane monooxygenase operons. Sequences for twenty-two propane monooxygenase operons were retrieved. Sequences for one subunit (prmA) were compared to the closest matches in GenBank. Overall, the developed cultures have potential for use in bioaugmentation to address in situ 1,4-dioxane contamination.},
            }
          
RevDate: 2025-11-02
Advancing diagnostics in Pythium insidiosum keratitis: the emerging role of point-of-care imaging and biosensor-based detection devices.
Expert review of medical devices [Epub ahead of print].
            INTRODUCTION: Pythium insidiosum keratitis (PIK) is a rapidly progressive, aggressive corneal infection that closely mimics fungal keratitis but fails to respond to conventional antifungal therapy. Misdiagnosis and delayed intervention frequently result in poor outcomes, including high rates of therapeutic keratoplasty and irreversible vision loss. Timely and accurate identification is therefore vital, yet conventional microbiological methods are slow, and histopathology is invasive and often inconclusive. Recent advances in imaging, molecular diagnostics, and biosensor technology are revolutionizing diagnostic possibilities.
AREAS COVERED: Modern tools such as anterior segment optical coherence tomography (AS-OCT) and in vivo confocal microscopy(IVCM) permit rapid, noninvasive visualization of characteristic stromal patterns. Molecular platforms, including PCR, loop-mediated isothermal amplification (LAMP), recombinase polymerase amplification (RPA), and multiplex panels, provide precise results within hours. Innovative lateral flow immunoassays (LFIA), aptamer-based electrochemical biosensors, and artificial intelligence (AI)-assisted image interpretation expand point-of-care capabilities, while metagenomic sequencing aids in culture-negative cases.
EXPERT OPINION: The integration of imaging, molecular, and biosensor modalities marks a paradigm shift in PIK diagnostics. PortableAS-OCT, handheld IVCM, and rapid multiplex panels promise to reduce diagnostic delay, minimize unnecessary antifungal use, lower keratoplasty rates, and improve visual prognosis. Collaborative validation and affordable access remain essential for global impact.
          
Additional Links: PMID-41147335
Publisher:
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41147335,
            year = {2025},
            author = {Gurnani, B and Kaur, K},
            title = {Advancing diagnostics in Pythium insidiosum keratitis: the emerging role of point-of-care imaging and biosensor-based detection devices.},
            journal = {Expert review of medical devices},
            volume = {},
            number = {},
            pages = {1-6},
            doi = {10.1080/17434440.2025.2582616},
            pmid = {41147335},
            issn = {1745-2422},
            abstract = {INTRODUCTION: Pythium insidiosum keratitis (PIK) is a rapidly progressive, aggressive corneal infection that closely mimics fungal keratitis but fails to respond to conventional antifungal therapy. Misdiagnosis and delayed intervention frequently result in poor outcomes, including high rates of therapeutic keratoplasty and irreversible vision loss. Timely and accurate identification is therefore vital, yet conventional microbiological methods are slow, and histopathology is invasive and often inconclusive. Recent advances in imaging, molecular diagnostics, and biosensor technology are revolutionizing diagnostic possibilities.
AREAS COVERED: Modern tools such as anterior segment optical coherence tomography (AS-OCT) and in vivo confocal microscopy(IVCM) permit rapid, noninvasive visualization of characteristic stromal patterns. Molecular platforms, including PCR, loop-mediated isothermal amplification (LAMP), recombinase polymerase amplification (RPA), and multiplex panels, provide precise results within hours. Innovative lateral flow immunoassays (LFIA), aptamer-based electrochemical biosensors, and artificial intelligence (AI)-assisted image interpretation expand point-of-care capabilities, while metagenomic sequencing aids in culture-negative cases.
EXPERT OPINION: The integration of imaging, molecular, and biosensor modalities marks a paradigm shift in PIK diagnostics. PortableAS-OCT, handheld IVCM, and rapid multiplex panels promise to reduce diagnostic delay, minimize unnecessary antifungal use, lower keratoplasty rates, and improve visual prognosis. Collaborative validation and affordable access remain essential for global impact.},
            }
          
RevDate: 2025-11-01
Anthropogenic PAHs reshape sedimentary microbiomes and ecotoxicological risks in polar regions: A pan-Arctic/Antarctic metagenomic study.
Journal of hazardous materials, 499:140321 pii:S0304-3894(25)03241-8 [Epub ahead of print].
The analysis of the composition and functional gene responses of sedimentary microbial communities to polycyclic aromatic hydrocarbons (PAHs) is essential for evaluating the pollution status of PAHs in polar regions. PAH concentrations and microbiome characteristics are quantified using advanced instrumental detection combined with metagenomic analysis. Overall, PAHs exhibit relatively high levels of contamination in polar regions, whereas variations in the abundance of functional genes indicate potential degradation propensities among different sedimentary microbial communities. The PAHs in the study area are primarily attributed to fossil fuel combustion, with local anthropogenic emissions considered the main drivers of contaminant accumulation. Sedimentary bacterial communities and their functions are significantly influenced by PAH contamination. Correlation analysis identifies 4H-Naphthalene, Naphthalene, 1-Indanone, Anthracene, Benzo[c]phenanthrene and 1,4-Naphthoquinone as the most critical compounds affecting microbial communities. The co-occurrence of PAH degradation genes with nitrogen- and sulfur-cycling genes in several MAGs suggests that PAH biodegradation may be enhanced through the utilization of nitrate and sulfate as electron acceptors. Within a pan-Arctic and Antarctic framework, the responses of sedimentary microbiomes to PAH contamination are examined, providing novel insights into the comprehensive evaluation of PAH pollution levels and associated ecological risks in polar regions.
Additional Links: PMID-41175763
Publisher:
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41175763,
            year = {2025},
            author = {Lv, Z and Liu, Z and Li, D and Cai, M and Liu, J and Zhang, XH and Shi, X},
            title = {Anthropogenic PAHs reshape sedimentary microbiomes and ecotoxicological risks in polar regions: A pan-Arctic/Antarctic metagenomic study.},
            journal = {Journal of hazardous materials},
            volume = {499},
            number = {},
            pages = {140321},
            doi = {10.1016/j.jhazmat.2025.140321},
            pmid = {41175763},
            issn = {1873-3336},
            abstract = {The analysis of the composition and functional gene responses of sedimentary microbial communities to polycyclic aromatic hydrocarbons (PAHs) is essential for evaluating the pollution status of PAHs in polar regions. PAH concentrations and microbiome characteristics are quantified using advanced instrumental detection combined with metagenomic analysis. Overall, PAHs exhibit relatively high levels of contamination in polar regions, whereas variations in the abundance of functional genes indicate potential degradation propensities among different sedimentary microbial communities. The PAHs in the study area are primarily attributed to fossil fuel combustion, with local anthropogenic emissions considered the main drivers of contaminant accumulation. Sedimentary bacterial communities and their functions are significantly influenced by PAH contamination. Correlation analysis identifies 4H-Naphthalene, Naphthalene, 1-Indanone, Anthracene, Benzo[c]phenanthrene and 1,4-Naphthoquinone as the most critical compounds affecting microbial communities. The co-occurrence of PAH degradation genes with nitrogen- and sulfur-cycling genes in several MAGs suggests that PAH biodegradation may be enhanced through the utilization of nitrate and sulfate as electron acceptors. Within a pan-Arctic and Antarctic framework, the responses of sedimentary microbiomes to PAH contamination are examined, providing novel insights into the comprehensive evaluation of PAH pollution levels and associated ecological risks in polar regions.},
            }
          
RevDate: 2025-11-01
Different effects of heterocyclic compounds on the diversity and functions of soil microbiota.
Journal of hazardous materials, 499:140318 pii:S0304-3894(25)03238-8 [Epub ahead of print].
Heterocyclic compounds are extensively used in pharmaceuticals and agrochemicals, yet their persistence and bioavailability in soil may disrupt microbial functions and ecosystem health. To address these impacts, we performed a metagenomic sequencing to assess the impact of three such compounds--cefapirin, pyrimethanil, and quinclorac on soil microbial communities at 15 and 30 d exposure. Our results revealed distinct compound-specific and time-dependent effects. Cefapirin initially induced minimal changes at 15 days but significantly reduced eukaryotic diversity and functional potential by 30 days, while also enriching virulence factors. Pyrimethanil strongly perturbed the community at 15 days, suppressing metabolic pathways and elevating the abundance of antibiotic resistance genes (ARGs) and virulence factors, along with consistently enriching mobile genetic elements (MGEs) associated with these genes-though some effects diminished by 30 days. Quinclorac exerted comparatively milder inducing subtle shifts in virulence factor profiles and exerting limited influence on antibiotic resistance gene abundance. Spearman correlation analysis linked compound-induced shifts in dominant microbial phyla (notably Pseudomonadota and Actinomycetota) to the dynamics of ARGs and virulence factors. These results underscore that the ecological risks of heterocyclic compounds depend critically on both compound properties and exposure duration. Our findings provide valuable insights for guiding risk assessment and sustainable practices to mitigate the ecological risks of agrochemicals.
Additional Links: PMID-41175752
Publisher:
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41175752,
            year = {2025},
            author = {Ding, W and Chen, B and Song, M and Liu, M and Lv, B and Qiu, D and Zhu, Y and Zhang, Z and Zhang, M and Zhang, R and Lu, T and Qian, H},
            title = {Different effects of heterocyclic compounds on the diversity and functions of soil microbiota.},
            journal = {Journal of hazardous materials},
            volume = {499},
            number = {},
            pages = {140318},
            doi = {10.1016/j.jhazmat.2025.140318},
            pmid = {41175752},
            issn = {1873-3336},
            abstract = {Heterocyclic compounds are extensively used in pharmaceuticals and agrochemicals, yet their persistence and bioavailability in soil may disrupt microbial functions and ecosystem health. To address these impacts, we performed a metagenomic sequencing to assess the impact of three such compounds--cefapirin, pyrimethanil, and quinclorac on soil microbial communities at 15 and 30 d exposure. Our results revealed distinct compound-specific and time-dependent effects. Cefapirin initially induced minimal changes at 15 days but significantly reduced eukaryotic diversity and functional potential by 30 days, while also enriching virulence factors. Pyrimethanil strongly perturbed the community at 15 days, suppressing metabolic pathways and elevating the abundance of antibiotic resistance genes (ARGs) and virulence factors, along with consistently enriching mobile genetic elements (MGEs) associated with these genes-though some effects diminished by 30 days. Quinclorac exerted comparatively milder inducing subtle shifts in virulence factor profiles and exerting limited influence on antibiotic resistance gene abundance. Spearman correlation analysis linked compound-induced shifts in dominant microbial phyla (notably Pseudomonadota and Actinomycetota) to the dynamics of ARGs and virulence factors. These results underscore that the ecological risks of heterocyclic compounds depend critically on both compound properties and exposure duration. Our findings provide valuable insights for guiding risk assessment and sustainable practices to mitigate the ecological risks of agrochemicals.},
            }
          
RevDate: 2025-11-01
Rhizosphere resilience: Exploring microbial diversity and metabolic responses in long-term eucalyptus plantations.
Microbiological research, 303:128381 pii:S0944-5013(25)00340-4 [Epub ahead of print].
The large-scale cultivation of eucalyptus has led to significant ecological challenges, such as declines in soil microbial diversity and soil degradation. To address these issues, management practices incorporating nitrogen-fixing species and adjusted rotation periods have been proposed. However, their impacts on rhizosphere soil microorganisms and metabolites remain insufficiently understood. This study employed metagenomic and untargeted metabolomics techniques to investigate the response of rhizosphere microorganisms and metabolites in eucalyptus plantations under different management regimes: monoculture plantation, plantation mixed with a nitrogen-fixing tree species, monoculture second-generation plantation, and second-generation mixed plantation. The results revealed that mixed plantation increased microbial diversity compared to continuous cropping. In contrast, second-generation monoculture led to a loss of unique microbial species and reduced microbial community stability compared to the first-generation monoculture. In nutrient-poor pure second-generation plantations, the bacterium Gemmatimonadetes (relative abundance: PF: 0.13 %, PS: 0.39 %, MF: 0.14 %, MS: 0.21 %)-which plays a key role in soil phosphorus cycle-was enriched. Although continuous cropping improved the organic phosphorus mineralization function, it decreased the abundance of genes related to carbon (rbcL and ppc) and phosphorus cycle (phoP and ppk2). The metabolite fluocinolone is negatively correlated with carbon, nitrogen and phosphorus cycle gene components in our dataset, while echinocystic acid and bezitramide are positively correlated. These findings highlight that mixed plantations enhance the ecological niche of eucalyptus rhizosphere by altering the interaction between rhizosphere microbial composition, function, and host plant metabolism.
Additional Links: PMID-41175696
Publisher:
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41175696,
            year = {2025},
            author = {Li, N and Zhang, Y and Qu, Z and Xu, J and Ming, A and Sun, H and Huang, L},
            title = {Rhizosphere resilience: Exploring microbial diversity and metabolic responses in long-term eucalyptus plantations.},
            journal = {Microbiological research},
            volume = {303},
            number = {},
            pages = {128381},
            doi = {10.1016/j.micres.2025.128381},
            pmid = {41175696},
            issn = {1618-0623},
            abstract = {The large-scale cultivation of eucalyptus has led to significant ecological challenges, such as declines in soil microbial diversity and soil degradation. To address these issues, management practices incorporating nitrogen-fixing species and adjusted rotation periods have been proposed. However, their impacts on rhizosphere soil microorganisms and metabolites remain insufficiently understood. This study employed metagenomic and untargeted metabolomics techniques to investigate the response of rhizosphere microorganisms and metabolites in eucalyptus plantations under different management regimes: monoculture plantation, plantation mixed with a nitrogen-fixing tree species, monoculture second-generation plantation, and second-generation mixed plantation. The results revealed that mixed plantation increased microbial diversity compared to continuous cropping. In contrast, second-generation monoculture led to a loss of unique microbial species and reduced microbial community stability compared to the first-generation monoculture. In nutrient-poor pure second-generation plantations, the bacterium Gemmatimonadetes (relative abundance: PF: 0.13 %, PS: 0.39 %, MF: 0.14 %, MS: 0.21 %)-which plays a key role in soil phosphorus cycle-was enriched. Although continuous cropping improved the organic phosphorus mineralization function, it decreased the abundance of genes related to carbon (rbcL and ppc) and phosphorus cycle (phoP and ppk2). The metabolite fluocinolone is negatively correlated with carbon, nitrogen and phosphorus cycle gene components in our dataset, while echinocystic acid and bezitramide are positively correlated. These findings highlight that mixed plantations enhance the ecological niche of eucalyptus rhizosphere by altering the interaction between rhizosphere microbial composition, function, and host plant metabolism.},
            }
          
RevDate: 2025-11-01
Structural and functional responses of microbial communities in coastal sediments towards anthropogenic pollution caused by ship breaking activities.
Marine environmental research, 213:107665 pii:S0141-1136(25)00722-6 [Epub ahead of print].
Coastal ecosystems, like many others on the planet, face chronic threats from anthropogenic activities. The Alang-Sosiya Ship Breaking Yard (ASSBY) located near Bhavnagar in Gujarat, India, represents one such ecosystem impacted by decades of ship-breaking activities. This study aimed to assess the differences in microbial community composition between polluted coastal samples and pristine samples through high-throughput sequencing. Additionally, microbial co-occurrence networks and genes related to antibiotic and heavy metal resistance were predicted using metagenome mining. The analysis confirmed elevated heavy metal concentrations, particularly iron, in polluted samples. In non-polluted sites, alpha diversity indices showed a high microbial diversity compared to polluted sites. The bacterial communities from Deltaproteobacteria at non-polluted sites noticeably shifted to Gammaproteobacteria at polluted sites. Unclassified reads constituted a significant portion of the bacterial diversity. LEfSe (Linear discriminant analysis Effect Size) analysis identified potential bacterial biomarkers, including Pseudomonas, Halomonas and Rhodovulum, which were differentially abundant at polluted sites and may play roles in the biodegradation of xenobiotic compounds. Moreover, Co-occurrence network analysis validated these bacterial biomarkers from polluted sites and revealed their habitat-specific nature. Polluted metagenomes were enriched with genes related to aromatic compound degradation and stress responses, particularly genes for heavy metal and antibiotic resistance. These findings suggest that chronic pollution from ship-breaking activities has led to a shift in microbial communities, leading to an increased presence of resistance mechanisms in the polluted coastal environment to adapt to prolonged heavy pollution.
Additional Links: PMID-41175632
Publisher:
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41175632,
            year = {2025},
            author = {Patel, AB and Jain, KR and Gupta, V and Lal, R and Madamwar, D},
            title = {Structural and functional responses of microbial communities in coastal sediments towards anthropogenic pollution caused by ship breaking activities.},
            journal = {Marine environmental research},
            volume = {213},
            number = {},
            pages = {107665},
            doi = {10.1016/j.marenvres.2025.107665},
            pmid = {41175632},
            issn = {1879-0291},
            abstract = {Coastal ecosystems, like many others on the planet, face chronic threats from anthropogenic activities. The Alang-Sosiya Ship Breaking Yard (ASSBY) located near Bhavnagar in Gujarat, India, represents one such ecosystem impacted by decades of ship-breaking activities. This study aimed to assess the differences in microbial community composition between polluted coastal samples and pristine samples through high-throughput sequencing. Additionally, microbial co-occurrence networks and genes related to antibiotic and heavy metal resistance were predicted using metagenome mining. The analysis confirmed elevated heavy metal concentrations, particularly iron, in polluted samples. In non-polluted sites, alpha diversity indices showed a high microbial diversity compared to polluted sites. The bacterial communities from Deltaproteobacteria at non-polluted sites noticeably shifted to Gammaproteobacteria at polluted sites. Unclassified reads constituted a significant portion of the bacterial diversity. LEfSe (Linear discriminant analysis Effect Size) analysis identified potential bacterial biomarkers, including Pseudomonas, Halomonas and Rhodovulum, which were differentially abundant at polluted sites and may play roles in the biodegradation of xenobiotic compounds. Moreover, Co-occurrence network analysis validated these bacterial biomarkers from polluted sites and revealed their habitat-specific nature. Polluted metagenomes were enriched with genes related to aromatic compound degradation and stress responses, particularly genes for heavy metal and antibiotic resistance. These findings suggest that chronic pollution from ship-breaking activities has led to a shift in microbial communities, leading to an increased presence of resistance mechanisms in the polluted coastal environment to adapt to prolonged heavy pollution.},
            }
          
RevDate: 2025-11-01
Viral diversity in vertebrates from Alto Pantanal, Mato Grosso, 2019.
Virology, 614:110729 pii:S0042-6822(25)00343-5 [Epub ahead of print].
The Alto Pantanal is a key yet unexplored Brazilian wetland for studying vertebrate viral profiles. This study presents viral taxonomic profiles from vertebrate sera sampled in May, June and October of 2019 in Porto São Luiz and Pirizal, Alto Pantanal. A total of 13 frogs, 19 bats, 23 caimans, 36 equids, 20 domestic hens, 140 birds and 16 humans were sampled. After nucleic acid extraction, individual samples were pooled by species and subjected to a metagenomic approach. Viral reads accounted for less than 0.2 % in each pool, except in domestic hens (35.8 %), yielding an overall viral abundance variation among pools of 48.83 %. In total, twenty-nine viral genomic sequences were retrieved from five pools. In equids, two coding-complete genomes were identified belonging to species Copiparvovirus ungulate8 and Mutorquevirus equid2. In domestic hens, four coding-complete genomes of species Alpharetrovirus avileu were detected, along with partial genomes of three gyroviroviruses of species Gyrovirus homsa1, Gyrovirus galga1 and a putative novel unclassified gyrovirus. In humans, 15 genomes of known human anelloviruses were identified, as well as partial sequences of Orthoflavivirus ilheusense and Erythroparvovirus primate species. In caimans, a partial genome belonging to genus Betadintovirus was detected. In frogs, one partial sequence of a putative novel pegivirus, and a coding-complete sequence of an unclassified retrovirus (Rhinella marina endogenous retrovirus) were found. These findings provide valuable insights into viral circulation within the diverse Pantanal biome, and support viral genomic surveillance efforts in the region.
Additional Links: PMID-41175494
Publisher:
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41175494,
            year = {2025},
            author = {Ramirez Pavon, JA and Aparecido da Silva Neves, N and de Oliveira Martins, A and Pinho, JB and Juscineide de Souza, V and Patroca da Silva, S and Ribeiro Cruz, AC and Barbosa de Almeida Medeiros, D and Teixeira Nunes, MR and Slhessarenko, RD},
            title = {Viral diversity in vertebrates from Alto Pantanal, Mato Grosso, 2019.},
            journal = {Virology},
            volume = {614},
            number = {},
            pages = {110729},
            doi = {10.1016/j.virol.2025.110729},
            pmid = {41175494},
            issn = {1096-0341},
            abstract = {The Alto Pantanal is a key yet unexplored Brazilian wetland for studying vertebrate viral profiles. This study presents viral taxonomic profiles from vertebrate sera sampled in May, June and October of 2019 in Porto São Luiz and Pirizal, Alto Pantanal. A total of 13 frogs, 19 bats, 23 caimans, 36 equids, 20 domestic hens, 140 birds and 16 humans were sampled. After nucleic acid extraction, individual samples were pooled by species and subjected to a metagenomic approach. Viral reads accounted for less than 0.2 % in each pool, except in domestic hens (35.8 %), yielding an overall viral abundance variation among pools of 48.83 %. In total, twenty-nine viral genomic sequences were retrieved from five pools. In equids, two coding-complete genomes were identified belonging to species Copiparvovirus ungulate8 and Mutorquevirus equid2. In domestic hens, four coding-complete genomes of species Alpharetrovirus avileu were detected, along with partial genomes of three gyroviroviruses of species Gyrovirus homsa1, Gyrovirus galga1 and a putative novel unclassified gyrovirus. In humans, 15 genomes of known human anelloviruses were identified, as well as partial sequences of Orthoflavivirus ilheusense and Erythroparvovirus primate species. In caimans, a partial genome belonging to genus Betadintovirus was detected. In frogs, one partial sequence of a putative novel pegivirus, and a coding-complete sequence of an unclassified retrovirus (Rhinella marina endogenous retrovirus) were found. These findings provide valuable insights into viral circulation within the diverse Pantanal biome, and support viral genomic surveillance efforts in the region.},
            }
          
RevDate: 2025-11-01
Biochar mitigates biodegradable microplastic-induced greenhouse gas emissions in lake sediments: Unraveling microbial mechanisms and particle-size effects.
Journal of environmental management, 395:127799 pii:S0301-4797(25)03775-2 [Epub ahead of print].
Accumulation of biodegradable microplastics (MPs) in freshwater sediments exacerbates greenhouse gas (GHG) emissions, though effective mitigation strategies are still poorly understood. This study investigated the potential of biochar (BC) for carbon sequestration and its role in suppressing MP-induced GHG emissions. Herein, we elucidated the effects of biodegradable MPs Poly (butylene-adipate-co-terephthalate) (PBAT) and different-sized (bulk- and nano-) BC on carbon dioxide (CO2) and methane (CH4) emissions. Results revealed that PBAT significantly reduced sediment pH and oxidation-reduction potential while increasing carbon content, leading to a 50.5 % rise in CO2 and 487.9 % in CH4 emissions. Nano-BC alone reduced CO2 emissions by 46.8 %, whereas no inhibitory effect was observed under MPs pollution. Critically, bulk- and nano-BC strongly inhibited cumulative CH4 emissions in MP-polluted sediment by 14.7 % and 50.6 %, respectively. BC countered PBAT-induced increases in sedimentary amino acids and humic substances by limiting key bacterial phyla involved in organic matter decomposition. Furthermore, BC reduced the abundance of MP-enriched microbes such as p_Firmicutes, f_Methanoregulaceae, and f_Methanotrichaceae, suppressed microbial metabolic functions and carbohydrate-active enzymes, and promoted CH4 oxidation and carbon fixation via genes including cutL, coxL, and coxA. Simultaneously, BC diminished methanogenic gene expression (mcrB, mcrA2). This work demonstrates the pronounced stimulatory effect of biodegradable MPs on sediment carbon mineralization and establishes the multi-level mechanism through which BC (particularly nano-BC) mitigates climate change effectively.
Additional Links: PMID-41175489
Publisher:
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41175489,
            year = {2025},
            author = {Fan, Z and Wu, H and Feng, Y and Sun, L and Yuan, L and Muhammad, T},
            title = {Biochar mitigates biodegradable microplastic-induced greenhouse gas emissions in lake sediments: Unraveling microbial mechanisms and particle-size effects.},
            journal = {Journal of environmental management},
            volume = {395},
            number = {},
            pages = {127799},
            doi = {10.1016/j.jenvman.2025.127799},
            pmid = {41175489},
            issn = {1095-8630},
            abstract = {Accumulation of biodegradable microplastics (MPs) in freshwater sediments exacerbates greenhouse gas (GHG) emissions, though effective mitigation strategies are still poorly understood. This study investigated the potential of biochar (BC) for carbon sequestration and its role in suppressing MP-induced GHG emissions. Herein, we elucidated the effects of biodegradable MPs Poly (butylene-adipate-co-terephthalate) (PBAT) and different-sized (bulk- and nano-) BC on carbon dioxide (CO2) and methane (CH4) emissions. Results revealed that PBAT significantly reduced sediment pH and oxidation-reduction potential while increasing carbon content, leading to a 50.5 % rise in CO2 and 487.9 % in CH4 emissions. Nano-BC alone reduced CO2 emissions by 46.8 %, whereas no inhibitory effect was observed under MPs pollution. Critically, bulk- and nano-BC strongly inhibited cumulative CH4 emissions in MP-polluted sediment by 14.7 % and 50.6 %, respectively. BC countered PBAT-induced increases in sedimentary amino acids and humic substances by limiting key bacterial phyla involved in organic matter decomposition. Furthermore, BC reduced the abundance of MP-enriched microbes such as p_Firmicutes, f_Methanoregulaceae, and f_Methanotrichaceae, suppressed microbial metabolic functions and carbohydrate-active enzymes, and promoted CH4 oxidation and carbon fixation via genes including cutL, coxL, and coxA. Simultaneously, BC diminished methanogenic gene expression (mcrB, mcrA2). This work demonstrates the pronounced stimulatory effect of biodegradable MPs on sediment carbon mineralization and establishes the multi-level mechanism through which BC (particularly nano-BC) mitigates climate change effectively.},
            }
          
RevDate: 2025-11-01
Gut microbiome signatures predict cognitive impairment in older cancer survivors.
GeroScience [Epub ahead of print].
Cancer treatments are improving, and the population of cancer survivors is steadily increasing. However, many survivors experience long-term side effects, including chemobrain and other age-related geriatric disorders like cognitive impairment (CI), severely impacting their quality of life. Emerging studies suggest that the gut microbiome plays a central role in cognitive health. However, the long-term effects of cancer treatments on the microbiome, and how these changes impact cognitive health in survivors, remain largely unknown. Shotgun metagenomic data from 150 older adults (≥ 60 years old, including 49 cancer survivors and 101 controls) from the Microbiome in Aging Gut and Brain (MiaGB) consortium revealed that Tyzzerella, Eggerthella lenta, and Bacteroides vulgatus were specific markers of the cancer survivor gut and could differentiate cancer survivorship in this cohort. Microbiome signatures were distinct in cancer survivors with CI compared to those without and differed from those seen in non-cancer individuals with CI. Bacterial taxa including Streptococcus thermophilus and Firmicutes bacterium CAG 114 were significantly reduced in cancer survivors and strongly associated with CI. Importantly, metabolic pathway analysis revealed that microbial neurotransmitter synthesis was significantly depleted in the gut of cancer survivors, suggesting a mechanistic link to CI. Our results suggest that microbiome signatures predict cancer survivorship and the risk of CI in older adults, potentially by depleting neurotransmitter synthesis in the gut. These findings aid in establishing the role of the microbiome in predicting cancer survivorship and CI risk, which is valuable in the development of novel therapies to support the growing population of cancer survivors.
Additional Links: PMID-41175312
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41175312,
            year = {2025},
            author = {Miller, BC and Haggler, JA and Chaudhari, DS and Shukla, R and Kumar, V and Mishra, SP and Masternak, MM and Holland, P and Labyak, C and Golden, A and Dangiolo, M and Arikawa, AY and Kociolek, J and Fraser, A and Williams, C and Agronin, M and Aymat, M and Pledger, W and Yadav, H and Jain, S},
            title = {Gut microbiome signatures predict cognitive impairment in older cancer survivors.},
            journal = {GeroScience},
            volume = {},
            number = {},
            pages = {},
            pmid = {41175312},
            issn = {2509-2723},
            support = {22A17//Florida Department of Health/ ; },
            abstract = {Cancer treatments are improving, and the population of cancer survivors is steadily increasing. However, many survivors experience long-term side effects, including chemobrain and other age-related geriatric disorders like cognitive impairment (CI), severely impacting their quality of life. Emerging studies suggest that the gut microbiome plays a central role in cognitive health. However, the long-term effects of cancer treatments on the microbiome, and how these changes impact cognitive health in survivors, remain largely unknown. Shotgun metagenomic data from 150 older adults (≥ 60 years old, including 49 cancer survivors and 101 controls) from the Microbiome in Aging Gut and Brain (MiaGB) consortium revealed that Tyzzerella, Eggerthella lenta, and Bacteroides vulgatus were specific markers of the cancer survivor gut and could differentiate cancer survivorship in this cohort. Microbiome signatures were distinct in cancer survivors with CI compared to those without and differed from those seen in non-cancer individuals with CI. Bacterial taxa including Streptococcus thermophilus and Firmicutes bacterium CAG 114 were significantly reduced in cancer survivors and strongly associated with CI. Importantly, metabolic pathway analysis revealed that microbial neurotransmitter synthesis was significantly depleted in the gut of cancer survivors, suggesting a mechanistic link to CI. Our results suggest that microbiome signatures predict cancer survivorship and the risk of CI in older adults, potentially by depleting neurotransmitter synthesis in the gut. These findings aid in establishing the role of the microbiome in predicting cancer survivorship and CI risk, which is valuable in the development of novel therapies to support the growing population of cancer survivors.},
            }
          
            RevDate: 2025-11-01
CmpDate: 2025-11-01
          
Gellan gum-based media recover more diverse microbial communities from soil material.
Archives of microbiology, 207(12):338.
Soil microbial communities contain a huge proportion of microorganisms that cannot be cultured using standard microbiological media and are accessible only through molecular methods. These uncultivable microbes may include producers of biologically active compounds valuable for medicine, biotechnology, and agriculture. Development of approaches for cultivation of such groups is of paramount importance. Here we successfully replicate and confirm the accumulated observations on the fact that replacing agar with gellan gum as gelling agent and using nutrient-poor media leads to the more frequent recovery and enrichment of rare and hard-to-culture microbial phyla representatives. We also show that altering the gas mixture in the incubation chamber may promotes the isolation of specific microbial groups. Replacing agar with gellan gum is suggested as a strategy to recover new microbial species.
Additional Links: PMID-41175161
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41175161,
            year = {2025},
            author = {Demin, KA and Kulikova, DB and Kulikov, MP and Mazanko, MS and Prazdnova, EV},
            title = {Gellan gum-based media recover more diverse microbial communities from soil material.},
            journal = {Archives of microbiology},
            volume = {207},
            number = {12},
            pages = {338},
            pmid = {41175161},
            issn = {1432-072X},
            support = {Strategic Academic Leadership Program "Priority 2030"//Ministry of Science and Higher Education of the Russian Federation/ ; },
            mesh = {*Polysaccharides, Bacterial/chemistry ; *Soil Microbiology ; *Culture Media/chemistry ; *Bacteria/isolation & purification/classification/genetics/growth & development ; *Microbiota ; },
            abstract = {Soil microbial communities contain a huge proportion of microorganisms that cannot be cultured using standard microbiological media and are accessible only through molecular methods. These uncultivable microbes may include producers of biologically active compounds valuable for medicine, biotechnology, and agriculture. Development of approaches for cultivation of such groups is of paramount importance. Here we successfully replicate and confirm the accumulated observations on the fact that replacing agar with gellan gum as gelling agent and using nutrient-poor media leads to the more frequent recovery and enrichment of rare and hard-to-culture microbial phyla representatives. We also show that altering the gas mixture in the incubation chamber may promotes the isolation of specific microbial groups. Replacing agar with gellan gum is suggested as a strategy to recover new microbial species.},
            }
          
MeSH Terms:
show MeSH Terms
hide MeSH Terms
*Polysaccharides, Bacterial/chemistry
*Soil Microbiology
*Culture Media/chemistry
*Bacteria/isolation & purification/classification/genetics/growth & development
*Microbiota
          
            RevDate: 2025-11-01
CmpDate: 2025-11-01
          
A Metagenomics Approach to Frailty in Patients With Cirrhosis Undergoing a Multifactorial Intervention.
Liver international : official journal of the International Association for the Study of the Liver, 45(12):e70418.
The relationship between frailty and gut microbiota has not been previously addressed in patients with cirrhosis. We studied by metagenomic shotgun sequencing the faecal microbiota composition associated with frailty in 29 patients with cirrhosis from a previous study (Román, Hepatol Commun 2024). Frail and prefrail patients were randomised to a multifactorial intervention (home exercise, branched-chain amino acids and a multistrain probiotic) or control for 12 months. We observed a positive correlation between the abundance of Rothia dentocariosa and the Liver frailty index (LFI), and between Bacteroides faecis and gait speed. After the multifactorial intervention, LFI improved and the main changes in the microbiota composition were a decrease in the abundance of Akkermansia muciniphila, and an increase in Streptococcus thermophilus, Lactobacillus acidophilus and several species of Bifidobacterium. We conclude that frailty in patients with cirrhosis was associated with a distinct microbiome signature. After a long-term multifactorial intervention, frailty improved in parallel with changes in microbiome composition. Trial Registration: ClinicalTrials.gov identifier: NCT04243148.
Additional Links: PMID-41174950
Publisher:
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41174950,
            year = {2025},
            author = {Vega-Abellaneda, S and Román, E and Soler, Z and Ortiz, MÀ and Rossi, G and Biagini, L and Sánchez, E and Pons-Tarin, M and Laghi, L and Mengucci, C and Kaur, N and Poca, M and Cuyàs, B and Serrano-Gomez, G and Alvarado, E and Manichanh, C and Soriano, G},
            title = {A Metagenomics Approach to Frailty in Patients With Cirrhosis Undergoing a Multifactorial Intervention.},
            journal = {Liver international : official journal of the International Association for the Study of the Liver},
            volume = {45},
            number = {12},
            pages = {e70418},
            doi = {10.1111/liv.70418},
            pmid = {41174950},
            issn = {1478-3231},
            support = {PI19/00275//Instituto de Salud Carlos III/ ; PR-455/2020//Col.legi Oficial d'Infermeres i Infermers de Barcelona/ ; //MENDES SA/ ; //Infisport/ ; },
            mesh = {Humans ; *Liver Cirrhosis/complications/therapy/microbiology ; *Frailty/therapy/microbiology ; Male ; Metagenomics ; *Gastrointestinal Microbiome ; Female ; *Probiotics/therapeutic use ; Middle Aged ; Aged ; Feces/microbiology ; Amino Acids, Branched-Chain/therapeutic use ; },
            abstract = {The relationship between frailty and gut microbiota has not been previously addressed in patients with cirrhosis. We studied by metagenomic shotgun sequencing the faecal microbiota composition associated with frailty in 29 patients with cirrhosis from a previous study (Román, Hepatol Commun 2024). Frail and prefrail patients were randomised to a multifactorial intervention (home exercise, branched-chain amino acids and a multistrain probiotic) or control for 12 months. We observed a positive correlation between the abundance of Rothia dentocariosa and the Liver frailty index (LFI), and between Bacteroides faecis and gait speed. After the multifactorial intervention, LFI improved and the main changes in the microbiota composition were a decrease in the abundance of Akkermansia muciniphila, and an increase in Streptococcus thermophilus, Lactobacillus acidophilus and several species of Bifidobacterium. We conclude that frailty in patients with cirrhosis was associated with a distinct microbiome signature. After a long-term multifactorial intervention, frailty improved in parallel with changes in microbiome composition. Trial Registration: ClinicalTrials.gov identifier: NCT04243148.},
            }
          
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Humans
*Liver Cirrhosis/complications/therapy/microbiology
*Frailty/therapy/microbiology
Male
Metagenomics
*Gastrointestinal Microbiome
Female
*Probiotics/therapeutic use
Middle Aged
Aged
Feces/microbiology
Amino Acids, Branched-Chain/therapeutic use
          
            RevDate: 2025-11-01
CmpDate: 2025-11-01
          
Ultra-broad hybrid capture-based targeted next-generation sequencing for sensitive plasma pathogen cfDNA detection in bloodstream infections.
Journal of translational medicine, 23(1):1203.
            BACKGROUND: The limited genomic targeting range of current targeted next-generation sequencing (tNGS) workflows results in limited detection of pathogen-derived cell-free DNA (cfDNA), making it challenging to apply this approach to bloodstream infections (BSIs). Here, we developed an ultra-broad hybrid capture-based tNGS method to detect plasma pathogen-derived cfDNA and evaluate its suitability for the diagnosis of BSI.
METHODS: This study introduced an ultra-broad hybrid capture-based tNGS method featuring an ultra-broad pathogen panel (1872 pathogens) and high-density probe coverage. To adequately evaluate its performance, we conducted retrospective tests in 208 suspected BSI patients (139 immunocompromised), comparing tNGS results with mNGS, conventional microbiological testing (CMT), and comprehensive clinical diagnoses.
RESULTS: In pathogen detection, the concordance between ultra-broad hybrid capture-based tNGS and mNGS results was 93.75%. The diagnostic accuracy of tNGS in BSI was comparable to mNGS (76.44% vs. 75.00%) and significantly higher than CMT (45.67%, p < 0.0001). In immunocompromised populations, the diagnostic accuracy of tNGS was similar to mNGS (77.70% vs. 76.98%). tNGS detected 92.09% (163/177) of pathogens identified by mNGS. Two of the missed pathogens were not included in the 1872 pathogens panel, and both were from the immunocompromised group.
CONCLUSIONS: Ultra-broad hybrid capture-based tNGS exhibits sensitivity and accuracy comparable to mNGS, effectively covering a relatively wide range of pathogens, and may serve as an economic screening tool for BSI in the future.
          
Additional Links: PMID-41174628
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41174628,
            year = {2025},
            author = {Wei, M and Ai, X and Gu, D and Zhang, S and Xu, K and Li, S and Mao, S and Li, M},
            title = {Ultra-broad hybrid capture-based targeted next-generation sequencing for sensitive plasma pathogen cfDNA detection in bloodstream infections.},
            journal = {Journal of translational medicine},
            volume = {23},
            number = {1},
            pages = {1203},
            pmid = {41174628},
            issn = {1479-5876},
            support = {2025YFC3409100//National Key Research and Development Program/ ; 24SF1903500//Science and Technology Innovation Plan Of Shanghai Science and Technology Commission/ ; 23YF1431300//Science and Technology Innovation Plan Of Shanghai Science and Technology Commission/ ; },
            mesh = {Humans ; *High-Throughput Nucleotide Sequencing/methods ; *Cell-Free Nucleic Acids/blood/genetics ; Female ; Male ; Middle Aged ; Aged ; *Sepsis/microbiology/blood ; Adult ; Retrospective Studies ; },
            abstract = {BACKGROUND: The limited genomic targeting range of current targeted next-generation sequencing (tNGS) workflows results in limited detection of pathogen-derived cell-free DNA (cfDNA), making it challenging to apply this approach to bloodstream infections (BSIs). Here, we developed an ultra-broad hybrid capture-based tNGS method to detect plasma pathogen-derived cfDNA and evaluate its suitability for the diagnosis of BSI.
METHODS: This study introduced an ultra-broad hybrid capture-based tNGS method featuring an ultra-broad pathogen panel (1872 pathogens) and high-density probe coverage. To adequately evaluate its performance, we conducted retrospective tests in 208 suspected BSI patients (139 immunocompromised), comparing tNGS results with mNGS, conventional microbiological testing (CMT), and comprehensive clinical diagnoses.
RESULTS: In pathogen detection, the concordance between ultra-broad hybrid capture-based tNGS and mNGS results was 93.75%. The diagnostic accuracy of tNGS in BSI was comparable to mNGS (76.44% vs. 75.00%) and significantly higher than CMT (45.67%, p < 0.0001). In immunocompromised populations, the diagnostic accuracy of tNGS was similar to mNGS (77.70% vs. 76.98%). tNGS detected 92.09% (163/177) of pathogens identified by mNGS. Two of the missed pathogens were not included in the 1872 pathogens panel, and both were from the immunocompromised group.
CONCLUSIONS: Ultra-broad hybrid capture-based tNGS exhibits sensitivity and accuracy comparable to mNGS, effectively covering a relatively wide range of pathogens, and may serve as an economic screening tool for BSI in the future.},
            }
          
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Humans
*High-Throughput Nucleotide Sequencing/methods
*Cell-Free Nucleic Acids/blood/genetics
Female
Male
Middle Aged
Aged
*Sepsis/microbiology/blood
Adult
Retrospective Studies
          
RevDate: 2025-11-01
Microbiome study of Murrah buffalo mastitis milk with emphasis on Acinetobacter species.
BMC microbiology, 25(1):703.
Additional Links: PMID-41174528
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41174528,
            year = {2025},
            author = {Sharma, D and Valmiki, H and Chayal, P and Kumar, S and Chhotaray, S},
            title = {Microbiome study of Murrah buffalo mastitis milk with emphasis on Acinetobacter species.},
            journal = {BMC microbiology},
            volume = {25},
            number = {1},
            pages = {703},
            pmid = {41174528},
            issn = {1471-2180},
            }
          
            RevDate: 2025-11-01
CmpDate: 2025-11-01
          
Metagenomic report of element-microbe synergy and xenobiotic detoxification in the sacred waters of Khecheopalri lake, Eastern Himalaya.
BMC microbiology, 25(1):704.
            BACKGROUND: Khecheopalri Lake, a sacred freshwater body and recently recognized Ramsar Wetland site in Sikkim, India, holds both ecological and cultural significance. The ecological health of this lake is influenced by elemental inputs and environmental parameters, yet its microbial and functional diversity remain poorly characterized. In this study, we employed a multi-omics approach combining shotgun metagenomics, inductively coupled plasma mass spectrometry (ICP-MS), and culture-dependent analyses to provide an integrated understanding of the lake's microbial ecosystem. Shotgun metagenomics revealed taxonomic diversity and functional gene profiles, ICP-MS quantified elemental composition and its potential role in shaping microbial communities, while culture-dependent methods complemented metagenomic insights by isolating representative taxa. Together, these approaches highlight the interactions between microbes and elemental dynamics, offering new perspectives on the ecological functioning of this Himalayan wetland and its potential vulnerability to environmental change.
RESULTS: ICP-MS analysis revealed phosphorus (P) as the most abundant element, followed by iron (Fe), sodium (Na), magnesium (Mg), and potassium (K). Elevated BOD and COD levels in sample KES4 indicated organic pollution and coincided with the dominance of Microcystis aeruginosa, a cyanobacterium indicative of eutrophication. Shotgun metagenomic sequencing generated approximately 213 million reads, with bacteria constituting 98.85% of the community. Dominant phyla included Pseudomonadota and Cyanobacteria. Culturable isolates confirmed the presence of genera such as Limnohabitans, Microcystis, and Mycolicibacterium. Functional gene profiling showed that metabolism was the most enriched category (71.64%), with several genes (e.g., xylB, pchF, clcD) associated with xenobiotic degradation pathways.
CONCLUSION: This first comprehensive metagenomic assessment of Khecheopalri Lake reveals diverse microbial populations involved in nutrient cycling and pollutant detoxification. The presence of genes linked to aromatic hydrocarbon degradation highlights the ecological potential of native microbes in mitigating environmental stress.
          
Additional Links: PMID-41174518
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41174518,
            year = {2025},
            author = {Das, R and Thatal, B and Thakur, N and Kumar, R and Tamang, B},
            title = {Metagenomic report of element-microbe synergy and xenobiotic detoxification in the sacred waters of Khecheopalri lake, Eastern Himalaya.},
            journal = {BMC microbiology},
            volume = {25},
            number = {1},
            pages = {704},
            pmid = {41174518},
            issn = {1471-2180},
            mesh = {*Lakes/microbiology/chemistry ; *Metagenomics/methods ; India ; *Bacteria/genetics/metabolism/classification/isolation & purification ; *Xenobiotics/metabolism ; Microbiota ; Metagenome ; Inactivation, Metabolic ; },
            abstract = {BACKGROUND: Khecheopalri Lake, a sacred freshwater body and recently recognized Ramsar Wetland site in Sikkim, India, holds both ecological and cultural significance. The ecological health of this lake is influenced by elemental inputs and environmental parameters, yet its microbial and functional diversity remain poorly characterized. In this study, we employed a multi-omics approach combining shotgun metagenomics, inductively coupled plasma mass spectrometry (ICP-MS), and culture-dependent analyses to provide an integrated understanding of the lake's microbial ecosystem. Shotgun metagenomics revealed taxonomic diversity and functional gene profiles, ICP-MS quantified elemental composition and its potential role in shaping microbial communities, while culture-dependent methods complemented metagenomic insights by isolating representative taxa. Together, these approaches highlight the interactions between microbes and elemental dynamics, offering new perspectives on the ecological functioning of this Himalayan wetland and its potential vulnerability to environmental change.
RESULTS: ICP-MS analysis revealed phosphorus (P) as the most abundant element, followed by iron (Fe), sodium (Na), magnesium (Mg), and potassium (K). Elevated BOD and COD levels in sample KES4 indicated organic pollution and coincided with the dominance of Microcystis aeruginosa, a cyanobacterium indicative of eutrophication. Shotgun metagenomic sequencing generated approximately 213 million reads, with bacteria constituting 98.85% of the community. Dominant phyla included Pseudomonadota and Cyanobacteria. Culturable isolates confirmed the presence of genera such as Limnohabitans, Microcystis, and Mycolicibacterium. Functional gene profiling showed that metabolism was the most enriched category (71.64%), with several genes (e.g., xylB, pchF, clcD) associated with xenobiotic degradation pathways.
CONCLUSION: This first comprehensive metagenomic assessment of Khecheopalri Lake reveals diverse microbial populations involved in nutrient cycling and pollutant detoxification. The presence of genes linked to aromatic hydrocarbon degradation highlights the ecological potential of native microbes in mitigating environmental stress.},
            }
          
MeSH Terms:
show MeSH Terms
hide MeSH Terms
*Lakes/microbiology/chemistry
*Metagenomics/methods
India
*Bacteria/genetics/metabolism/classification/isolation & purification
*Xenobiotics/metabolism
Microbiota
Metagenome
Inactivation, Metabolic
          
            RevDate: 2025-11-01
CmpDate: 2025-11-01
          
Integration of metagenomics and targeted metabolomics reveals the flavor metabolism network of the microbial community in traditional watermelon soybean paste.
Food research international (Ottawa, Ont.), 221(Pt 2):117386.
Watermelon soybean paste (WSP) is an important traditional Chinese condiment known for its unique flavor and nutritional value. However, the correlation between microbial communities and metabolites, especially flavor-related metabolites, as well as the underlying fermentation mechanisms, remains poorly understood. The microbial synthesis pathways of flavor-related metabolites and the composition of microbial communities in traditional watermelon soybean paste during fermentation were investigated through integrated metagenomic and targeted metabolomic analyses. The results demonstrated that Glu, Asp, Pro, Tyr, Ser, Leu, Phe, Val, and 73 metabolites were characterized as the key differential metabolites. An increase in the number of differential metabolites was observed as fermentation progressed. Aspergillus, Klebsiella, Enterococcus, and Weissella were identified as the dominant genus species in WSP samples. Functional composition analysis using both the eggNOG and KEGG databases revealed that valine, leucine, and isoleucine biosynthesis, starch and sucrose metabolism, glycolysis/gluconeogenesis, and pyruvate metabolism were identified as the predominant metabolic pathways. In contrast, GT4 and CBM were identified as the predominant enzyme families. Additionally, correlation analysis and key metabolic pathway investigation revealed that lactic acid bacteria (e.g., Weissella, Lactococcus, Lactobacillus) and Aspergillus were associated with the synthesis of flavor compounds (e.g., vanillin) and nutrient enrichment through amino acid metabolism and isoflavone biosynthesis pathways. This study offers a scientific basis for optimizing starter cultures and improving the flavor quality, contributing to improved quality control of WSP production.
Additional Links: PMID-41174459
Publisher:
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41174459,
            year = {2025},
            author = {Tian, Z and Koak, NH and Kinanti, B and Eun, JB and Kim, YM and Zhao, C},
            title = {Integration of metagenomics and targeted metabolomics reveals the flavor metabolism network of the microbial community in traditional watermelon soybean paste.},
            journal = {Food research international (Ottawa, Ont.)},
            volume = {221},
            number = {Pt 2},
            pages = {117386},
            doi = {10.1016/j.foodres.2025.117386},
            pmid = {41174459},
            issn = {1873-7145},
            mesh = {*Metabolomics/methods ; *Citrullus/microbiology ; *Metagenomics/methods ; *Glycine max/microbiology ; *Taste ; Fermentation ; *Microbiota ; Food Microbiology ; Flavoring Agents/metabolism ; Bacteria/metabolism/classification/genetics ; },
            abstract = {Watermelon soybean paste (WSP) is an important traditional Chinese condiment known for its unique flavor and nutritional value. However, the correlation between microbial communities and metabolites, especially flavor-related metabolites, as well as the underlying fermentation mechanisms, remains poorly understood. The microbial synthesis pathways of flavor-related metabolites and the composition of microbial communities in traditional watermelon soybean paste during fermentation were investigated through integrated metagenomic and targeted metabolomic analyses. The results demonstrated that Glu, Asp, Pro, Tyr, Ser, Leu, Phe, Val, and 73 metabolites were characterized as the key differential metabolites. An increase in the number of differential metabolites was observed as fermentation progressed. Aspergillus, Klebsiella, Enterococcus, and Weissella were identified as the dominant genus species in WSP samples. Functional composition analysis using both the eggNOG and KEGG databases revealed that valine, leucine, and isoleucine biosynthesis, starch and sucrose metabolism, glycolysis/gluconeogenesis, and pyruvate metabolism were identified as the predominant metabolic pathways. In contrast, GT4 and CBM were identified as the predominant enzyme families. Additionally, correlation analysis and key metabolic pathway investigation revealed that lactic acid bacteria (e.g., Weissella, Lactococcus, Lactobacillus) and Aspergillus were associated with the synthesis of flavor compounds (e.g., vanillin) and nutrient enrichment through amino acid metabolism and isoflavone biosynthesis pathways. This study offers a scientific basis for optimizing starter cultures and improving the flavor quality, contributing to improved quality control of WSP production.},
            }
          
MeSH Terms:
show MeSH Terms
hide MeSH Terms
*Metabolomics/methods
*Citrullus/microbiology
*Metagenomics/methods
*Glycine max/microbiology
*Taste
Fermentation
*Microbiota
Food Microbiology
Flavoring Agents/metabolism
Bacteria/metabolism/classification/genetics
          
            RevDate: 2025-11-01
CmpDate: 2025-11-01
          
Characterization of flavor profile and microbial community dynamics in naturally fermented sour watermelon.
Food research international (Ottawa, Ont.), 221(Pt 2):117319.
Sour watermelon (DFSW) is a distinctive fermented food that originated in Hainan, China, known for its unique and pungent flavor. Despite its cultural significance, the microbial dynamics and flavor formation mechanisms of DFSW remain poorly understood. This study employed multi-omics approaches, including HS-SPME-GC-MS and metagenomic sequencing, to analyze the physicochemical properties, volatile flavor compounds, and microbial community structure during DFSW fermentation. Results revealed that p-cresol, acetic acid, ethanol, hexaldehyde, and ethyl acetate were the dominant flavor compounds, endowing DFSW floral, fruity and spicy flavors, with p-cresol being the primary cause of pungent odors. The microbial community was primarily composed of Limosilactobacillus, Lactiplantibacillus, and Lactobacillus, which together made up over 83 % of the total abundance and were closely linked to flavor production. The correlation coefficient values (R) for Lactiplantibacillus and Lactobacillus with p-cresol, lactic acid, and acetic acid were consistently greater than 0.6. Metabolic pathway analysis highlighted the role of microbial carbohydrate and amino acid metabolism in flavor development. The synthesis of p-cresol was mainly related to the metabolism of tyrosine and L-phenylalanine, while the synthesis and metabolism of lactic acid and acetic acid were mainly related to the dominant bacterial genera in the fermentation system. These findings provide valuable insights for the biotechnological optimization of DFSW production, supporting the development of a consistent flavor profile and improved product stability.
Additional Links: PMID-41174397
Publisher:
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41174397,
            year = {2025},
            author = {Zhang, L and Li, D and Zhou, L and Zhu, L and Zhang, R and Hong, Q and Liu, S and Li, C},
            title = {Characterization of flavor profile and microbial community dynamics in naturally fermented sour watermelon.},
            journal = {Food research international (Ottawa, Ont.)},
            volume = {221},
            number = {Pt 2},
            pages = {117319},
            doi = {10.1016/j.foodres.2025.117319},
            pmid = {41174397},
            issn = {1873-7145},
            mesh = {*Citrullus/microbiology/chemistry ; *Fermentation ; *Taste ; *Fermented Foods/microbiology/analysis ; Volatile Organic Compounds/analysis ; *Microbiota ; Acetic Acid/analysis ; Odorants/analysis ; Cresols/analysis ; *Food Microbiology ; Flavoring Agents/analysis ; Bacteria/classification/metabolism/genetics ; Gas Chromatography-Mass Spectrometry ; China ; },
            abstract = {Sour watermelon (DFSW) is a distinctive fermented food that originated in Hainan, China, known for its unique and pungent flavor. Despite its cultural significance, the microbial dynamics and flavor formation mechanisms of DFSW remain poorly understood. This study employed multi-omics approaches, including HS-SPME-GC-MS and metagenomic sequencing, to analyze the physicochemical properties, volatile flavor compounds, and microbial community structure during DFSW fermentation. Results revealed that p-cresol, acetic acid, ethanol, hexaldehyde, and ethyl acetate were the dominant flavor compounds, endowing DFSW floral, fruity and spicy flavors, with p-cresol being the primary cause of pungent odors. The microbial community was primarily composed of Limosilactobacillus, Lactiplantibacillus, and Lactobacillus, which together made up over 83 % of the total abundance and were closely linked to flavor production. The correlation coefficient values (R) for Lactiplantibacillus and Lactobacillus with p-cresol, lactic acid, and acetic acid were consistently greater than 0.6. Metabolic pathway analysis highlighted the role of microbial carbohydrate and amino acid metabolism in flavor development. The synthesis of p-cresol was mainly related to the metabolism of tyrosine and L-phenylalanine, while the synthesis and metabolism of lactic acid and acetic acid were mainly related to the dominant bacterial genera in the fermentation system. These findings provide valuable insights for the biotechnological optimization of DFSW production, supporting the development of a consistent flavor profile and improved product stability.},
            }
          
MeSH Terms:
show MeSH Terms
hide MeSH Terms
*Citrullus/microbiology/chemistry
*Fermentation
*Taste
*Fermented Foods/microbiology/analysis
Volatile Organic Compounds/analysis
*Microbiota
Acetic Acid/analysis
Odorants/analysis
Cresols/analysis
*Food Microbiology
Flavoring Agents/analysis
Bacteria/classification/metabolism/genetics
Gas Chromatography-Mass Spectrometry
China
          
            RevDate: 2025-11-01
CmpDate: 2025-11-01
          
Taxonomic expansion and reorganization of Flaviviridae.
Nature microbiology, 10(11):3026-3037.
Flaviviridae is a family of non-segmented positive-sense RNA viruses that includes major pathogens such as hepatitis C virus, dengue viruses and yellow fever virus. Recent large-scale metagenomic surveys have identified many RNA viruses related to members of this family, such as orthoflaviviruses and pestiviruses. These viruses diverge by having different genome lengths and configurations, and host range. Here we performed an analysis of RNA-directed RNA polymerase (RdRP) hallmark gene sequences of flaviviruses and 'flavi-like' viruses. We uncovered four divergent clades and multiple lineages that are congruent with phylogenies of their helicase genes, protein profile hidden Markov model profiles, and evolutionary relationships based on predicted RdRP protein structures. These results support their classification into three families (Flaviviridae, Pestiviridae and Hepaciviridae) and 12 genera in the established order Amarillovirales, with groupings correlating with genome properties and host range. This taxonomy provides a framework for future evolutionary studies on this important viral family.
Additional Links: PMID-41174177
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41174177,
            year = {2025},
            author = {Simmonds, P and Butković, A and Grove, J and Mayne, R and Mifsud, JCO and Beer, M and Bukh, J and Drexler, JF and Kapoor, A and Lohmann, V and Smith, DB and Stapleton, JT and Vasilakis, N and Kuhn, JH},
            title = {Taxonomic expansion and reorganization of Flaviviridae.},
            journal = {Nature microbiology},
            volume = {10},
            number = {11},
            pages = {3026-3037},
            pmid = {41174177},
            issn = {2058-5276},
            support = {MC_UU_00034/1//Department of Health | National Health and Medical Research Council (NHMRC)/ ; 107653/Z/15/Z//Wellcome Trust (Wellcome)/ ; NIHR203338)//DH | National Institute for Health Research (NIHR)/ ; },
            mesh = {Phylogeny ; *Flaviviridae/classification/genetics/enzymology ; RNA-Dependent RNA Polymerase/genetics ; Evolution, Molecular ; Genome, Viral ; Host Specificity ; Viral Proteins/genetics ; RNA Helicases/genetics ; },
            abstract = {Flaviviridae is a family of non-segmented positive-sense RNA viruses that includes major pathogens such as hepatitis C virus, dengue viruses and yellow fever virus. Recent large-scale metagenomic surveys have identified many RNA viruses related to members of this family, such as orthoflaviviruses and pestiviruses. These viruses diverge by having different genome lengths and configurations, and host range. Here we performed an analysis of RNA-directed RNA polymerase (RdRP) hallmark gene sequences of flaviviruses and 'flavi-like' viruses. We uncovered four divergent clades and multiple lineages that are congruent with phylogenies of their helicase genes, protein profile hidden Markov model profiles, and evolutionary relationships based on predicted RdRP protein structures. These results support their classification into three families (Flaviviridae, Pestiviridae and Hepaciviridae) and 12 genera in the established order Amarillovirales, with groupings correlating with genome properties and host range. This taxonomy provides a framework for future evolutionary studies on this important viral family.},
            }
          
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Phylogeny
*Flaviviridae/classification/genetics/enzymology
RNA-Dependent RNA Polymerase/genetics
Evolution, Molecular
Genome, Viral
Host Specificity
Viral Proteins/genetics
RNA Helicases/genetics
          
            RevDate: 2025-11-01
CmpDate: 2025-11-01
          
Pseudomonas protegens as a biocontrol agent against phytopathogenic fungi - mini review.
World journal of microbiology & biotechnology, 41(11):428.
Pseudomonas protegens, a member of the P. fluorescens complex, is an important biocontrol agent with high potential in sustainable agriculture. It produces diverse secondary metabolites, including 2,4-diacetylphloroglucinol (DAPG), pyoluteorin (PLT), orfamides, and protegenins, as well as hydrolytic enzymes such as chitinases, which contribute to antifungal activity, fungal cell wall degradation, and induction of systemic resistance (ISR) in plants. Despite these insights, gaps remain in understanding the regulation of metabolite biosynthesis, variability of ISR across crops, and the field efficacy of P. protegens. Future research should employ omics approaches (metagenomics, transcriptomics) to optimize biocontrol strategies, explore natural inducers of metabolite production, and evaluate colonization efficiency under field conditions. This review synthesizes current knowledge on P. protegens, highlighting its importance, mechanisms of action, existing knowledge gaps, and directions for future research.
Additional Links: PMID-41174125
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41174125,
            year = {2025},
            author = {Dobrzyński, J and Jakubowska, Z},
            title = {Pseudomonas protegens as a biocontrol agent against phytopathogenic fungi - mini review.},
            journal = {World journal of microbiology & biotechnology},
            volume = {41},
            number = {11},
            pages = {428},
            pmid = {41174125},
            issn = {1573-0972},
            mesh = {*Plant Diseases/microbiology/prevention & control ; *Pseudomonas/metabolism/physiology/genetics ; *Biological Control Agents/metabolism ; *Fungi/pathogenicity ; Antifungal Agents/metabolism/pharmacology ; Phloroglucinol/analogs & derivatives/metabolism ; Secondary Metabolism ; Chitinases/metabolism ; Phenols ; Pyrroles ; },
            abstract = {Pseudomonas protegens, a member of the P. fluorescens complex, is an important biocontrol agent with high potential in sustainable agriculture. It produces diverse secondary metabolites, including 2,4-diacetylphloroglucinol (DAPG), pyoluteorin (PLT), orfamides, and protegenins, as well as hydrolytic enzymes such as chitinases, which contribute to antifungal activity, fungal cell wall degradation, and induction of systemic resistance (ISR) in plants. Despite these insights, gaps remain in understanding the regulation of metabolite biosynthesis, variability of ISR across crops, and the field efficacy of P. protegens. Future research should employ omics approaches (metagenomics, transcriptomics) to optimize biocontrol strategies, explore natural inducers of metabolite production, and evaluate colonization efficiency under field conditions. This review synthesizes current knowledge on P. protegens, highlighting its importance, mechanisms of action, existing knowledge gaps, and directions for future research.},
            }
          
MeSH Terms:
show MeSH Terms
hide MeSH Terms
*Plant Diseases/microbiology/prevention & control
*Pseudomonas/metabolism/physiology/genetics
*Biological Control Agents/metabolism
*Fungi/pathogenicity
Antifungal Agents/metabolism/pharmacology
Phloroglucinol/analogs & derivatives/metabolism
Secondary Metabolism
Chitinases/metabolism
Phenols
Pyrroles
          
            RevDate: 2025-11-01
CmpDate: 2025-11-01
          
Gut bacterial dysbiosis in pediatric severe malaria associates with post-discharge mortality.
Nature communications, 16(1):9658.
Gut microbiota have been implicated in severe malaria in murine models, but their contribution to the pathogenesis of severe malaria in children is unknown. Here we show through analysis of gut bacteria in stool samples from two separate African studies enrolling children with severe malaria, and children from local communities, that children with severe malaria have gut bacteria dysbiosis. Among children with severe malaria, there is increased abundance of Enterobacteriaceae that associates with multiple clinical complications of severe malaria. Moreover, increased abundance of Escherichia coli was a predictor of post-discharge mortality. Metagenome analysis identify elevated metabolic pathways and genes supporting the utilization of host-derived molecules in children with severe malaria that have the potential to promote the survival and growth of Enterobacteriaceae. Treatments that target Enterobacteriaceae may have the potential to reduce post-discharge mortality in children with severe malaria.
Additional Links: PMID-41173910
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41173910,
            year = {2025},
            author = {Bednarski, OJ and Lehman, SB and Mzinza, D and Kazinga, C and Namazzi, R and Opoka, RO and Ren, J and Tran, TM and Taylor, TE and Seydel, KB and John, CC and Conroy, AL and Schmidt, NW},
            title = {Gut bacterial dysbiosis in pediatric severe malaria associates with post-discharge mortality.},
            journal = {Nature communications},
            volume = {16},
            number = {1},
            pages = {9658},
            pmid = {41173910},
            issn = {2041-1723},
            support = {R01NS055349//U.S. Department of Health & Human Services | National Institutes of Health (NIH)/ ; D43TW010928//U.S. Department of Health & Human Services | National Institutes of Health (NIH)/ ; T32GM148382//U.S. Department of Health & Human Services | National Institutes of Health (NIH)/ ; },
            mesh = {*Dysbiosis/microbiology/mortality/complications ; Humans ; *Gastrointestinal Microbiome/genetics ; Child, Preschool ; *Malaria/mortality/microbiology/complications ; Female ; Male ; Infant ; Feces/microbiology ; Child ; Escherichia coli/isolation & purification/genetics ; Metagenome ; Enterobacteriaceae/isolation & purification/genetics ; Patient Discharge ; },
            abstract = {Gut microbiota have been implicated in severe malaria in murine models, but their contribution to the pathogenesis of severe malaria in children is unknown. Here we show through analysis of gut bacteria in stool samples from two separate African studies enrolling children with severe malaria, and children from local communities, that children with severe malaria have gut bacteria dysbiosis. Among children with severe malaria, there is increased abundance of Enterobacteriaceae that associates with multiple clinical complications of severe malaria. Moreover, increased abundance of Escherichia coli was a predictor of post-discharge mortality. Metagenome analysis identify elevated metabolic pathways and genes supporting the utilization of host-derived molecules in children with severe malaria that have the potential to promote the survival and growth of Enterobacteriaceae. Treatments that target Enterobacteriaceae may have the potential to reduce post-discharge mortality in children with severe malaria.},
            }
          
MeSH Terms:
show MeSH Terms
hide MeSH Terms
*Dysbiosis/microbiology/mortality/complications
Humans
*Gastrointestinal Microbiome/genetics
Child, Preschool
*Malaria/mortality/microbiology/complications
Female
Male
Infant
Feces/microbiology
Child
Escherichia coli/isolation & purification/genetics
Metagenome
Enterobacteriaceae/isolation & purification/genetics
Patient Discharge
          
            RevDate: 2025-11-01
CmpDate: 2025-11-01
          
Resistome profiling and bacterial community structure of semi-urban gutter ecosystems of India.
Scientific reports, 15(1):38127.
Environmental factors contribute to antimicrobial resistance, a global health threat. Contaminated gutter water in urban areas spreads resistant bacteria, disrupting ecosystems and promoting biofilm formation, causing widespread concern. This study aimed to evaluate antibiotic-resistant bacterial populations across six gutter ecosystems in Roorkee, Uttarakhand, India during summer against different classes of antibiotics, identify presence of beta-lactamase, and explores total bacterial communities, and predicting metabolic pathways through 16S rRNA based metagenomic approach of V3 region. The highest resistant bacterial population was found in HL_NS-6, and HL_NS-2, with highly resistance to Penicillin (ampicillin and oxacillin), Cephalosporin (Cephalothin), aminoglycoside (Kanamycin), fluoroquinolone (ciprofloxacin), and Antifolate (Trimethoprim) class antibiotics. Beta-lactamase activity was detected in all samples except HL_NS-5, indicated by nitrocefin hydrolysis. The microbial community in the six samples were composed with the major families enterobacteriaceae (15.4%) and pseudomonadaceae (8.29%), covering 23.7% of the total population. The highest taxa were found in HL_NS-2 and HL_NS-4, while the largest genera were Pseudomonas (8.3%), Escherichia (8.2%), Hydrogenophaga (6.85%), and Candidatus Moranella (5.4%). There were 21.25% common bacterial genera were present as core microbiome and rest were signified the population diversity among the six-gutter microbiome. The coexistence of common metabolic pathways (citric acid cycle, carbon, nitrogen metabolism etc.), and streptomycin, glycosphingolipid, lipopolysaccharide, cyanoamino acid metabolism pathways might be induced the development of antibiotic resistance in gutter microbiome. This study suggests the presence of antibiotic-resistant bacteria with antibiotic resistant metabolic pathways, and beta-lactamase genes in urban gutter water, which could be harmful to both human health and environmental ecosystems.
Additional Links: PMID-41173905
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41173905,
            year = {2025},
            author = {Adhikary, R and Alkhatib, AEA and Hazra, S},
            title = {Resistome profiling and bacterial community structure of semi-urban gutter ecosystems of India.},
            journal = {Scientific reports},
            volume = {15},
            number = {1},
            pages = {38127},
            pmid = {41173905},
            issn = {2045-2322},
            mesh = {India ; Anti-Bacterial Agents/pharmacology ; *Bacteria/genetics/drug effects/classification ; RNA, Ribosomal, 16S/genetics ; *Ecosystem ; *Drug Resistance, Bacterial/genetics ; beta-Lactamases/genetics/metabolism ; Gastrointestinal Microbiome ; Metagenomics/methods ; Humans ; Microbiota ; Metagenome ; },
            abstract = {Environmental factors contribute to antimicrobial resistance, a global health threat. Contaminated gutter water in urban areas spreads resistant bacteria, disrupting ecosystems and promoting biofilm formation, causing widespread concern. This study aimed to evaluate antibiotic-resistant bacterial populations across six gutter ecosystems in Roorkee, Uttarakhand, India during summer against different classes of antibiotics, identify presence of beta-lactamase, and explores total bacterial communities, and predicting metabolic pathways through 16S rRNA based metagenomic approach of V3 region. The highest resistant bacterial population was found in HL_NS-6, and HL_NS-2, with highly resistance to Penicillin (ampicillin and oxacillin), Cephalosporin (Cephalothin), aminoglycoside (Kanamycin), fluoroquinolone (ciprofloxacin), and Antifolate (Trimethoprim) class antibiotics. Beta-lactamase activity was detected in all samples except HL_NS-5, indicated by nitrocefin hydrolysis. The microbial community in the six samples were composed with the major families enterobacteriaceae (15.4%) and pseudomonadaceae (8.29%), covering 23.7% of the total population. The highest taxa were found in HL_NS-2 and HL_NS-4, while the largest genera were Pseudomonas (8.3%), Escherichia (8.2%), Hydrogenophaga (6.85%), and Candidatus Moranella (5.4%). There were 21.25% common bacterial genera were present as core microbiome and rest were signified the population diversity among the six-gutter microbiome. The coexistence of common metabolic pathways (citric acid cycle, carbon, nitrogen metabolism etc.), and streptomycin, glycosphingolipid, lipopolysaccharide, cyanoamino acid metabolism pathways might be induced the development of antibiotic resistance in gutter microbiome. This study suggests the presence of antibiotic-resistant bacteria with antibiotic resistant metabolic pathways, and beta-lactamase genes in urban gutter water, which could be harmful to both human health and environmental ecosystems.},
            }
          
MeSH Terms:
show MeSH Terms
hide MeSH Terms
India
Anti-Bacterial Agents/pharmacology
*Bacteria/genetics/drug effects/classification
RNA, Ribosomal, 16S/genetics
*Ecosystem
*Drug Resistance, Bacterial/genetics
beta-Lactamases/genetics/metabolism
Gastrointestinal Microbiome
Metagenomics/methods
Humans
Microbiota
Metagenome
          
            RevDate: 2025-10-31
CmpDate: 2025-10-31
          
Taxonomic and functional characteristics of the gut microbiota in obesity: A systematic review.
Endocrinologia, diabetes y nutricion, 72(9):501624.
Obesity is a growing public health problem. In recent decades, scientific evidence has linked gut microbiota to obesity. This systematic review summarizes current knowledge on the composition and functional differences in gut microbiota between individuals with obesity and those with normal weight. Following PRISMA 2020 recommendations, studies published in adult populations between January 2014 and May 2024 were reviewed. PubMed, Web of Science, and Scopus databases were searched for observational studies that had used advanced sequencing methods, such as 16S rRNA and shotgun metagenomics, to assess gut microbiota. The quality of these studies was also analyzed using the Newcastle-Ottawa scale. Our review of 16 studies shows a reduction in microbial diversity in individuals with obesity. In addition, a higher relative abundance of the phylum Firmicutes, the families Enterobacteriaceae, Gemellaceae, Prevotellaceae, Streptococcaceae and Veillonellaceae, as well as the genera Blautia, Butyricimonas, Collinsella, Megamonas, and Streptococcus, while beneficial bacteria such as the families Porphyromonadaceae and Rikenellaceae, and the genera Bifidobacterium spp. and Faecalibacterium prausnitzii, were depleted. Functional analysis showed a tendency to an increase in metabolic pathways associated with carbohydrate and lipid metabolism, with reduced pathways related to short-chain fatty acid production. Obesity is associated with altered gut microbiota composition and function. However, the variability across studies regarding population characteristics, dietary pattern, and sequencing techniques limits the comparability of findings. Future research should prioritize standardized methodologies and confounding factors to elucidate the role of the gut microbiome in obesity.
Additional Links: PMID-41173568
Publisher:
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41173568,
            year = {2025},
            author = {DÃaz Perdigones, CM and Hinojosa Nogueira, D and RodrÃguez Muñoz, A and Subiri Verdugo, A and Vilches-Pérez, A and Mela, V and Tinahones, FJ and Moreno Indias, I},
            title = {Taxonomic and functional characteristics of the gut microbiota in obesity: A systematic review.},
            journal = {Endocrinologia, diabetes y nutricion},
            volume = {72},
            number = {9},
            pages = {501624},
            doi = {10.1016/j.endien.2025.501624},
            pmid = {41173568},
            issn = {2530-0180},
            mesh = {*Gastrointestinal Microbiome/physiology ; Humans ; *Obesity/microbiology/metabolism ; Bacteria/classification ; },
            abstract = {Obesity is a growing public health problem. In recent decades, scientific evidence has linked gut microbiota to obesity. This systematic review summarizes current knowledge on the composition and functional differences in gut microbiota between individuals with obesity and those with normal weight. Following PRISMA 2020 recommendations, studies published in adult populations between January 2014 and May 2024 were reviewed. PubMed, Web of Science, and Scopus databases were searched for observational studies that had used advanced sequencing methods, such as 16S rRNA and shotgun metagenomics, to assess gut microbiota. The quality of these studies was also analyzed using the Newcastle-Ottawa scale. Our review of 16 studies shows a reduction in microbial diversity in individuals with obesity. In addition, a higher relative abundance of the phylum Firmicutes, the families Enterobacteriaceae, Gemellaceae, Prevotellaceae, Streptococcaceae and Veillonellaceae, as well as the genera Blautia, Butyricimonas, Collinsella, Megamonas, and Streptococcus, while beneficial bacteria such as the families Porphyromonadaceae and Rikenellaceae, and the genera Bifidobacterium spp. and Faecalibacterium prausnitzii, were depleted. Functional analysis showed a tendency to an increase in metabolic pathways associated with carbohydrate and lipid metabolism, with reduced pathways related to short-chain fatty acid production. Obesity is associated with altered gut microbiota composition and function. However, the variability across studies regarding population characteristics, dietary pattern, and sequencing techniques limits the comparability of findings. Future research should prioritize standardized methodologies and confounding factors to elucidate the role of the gut microbiome in obesity.},
            }
          
MeSH Terms:
show MeSH Terms
hide MeSH Terms
*Gastrointestinal Microbiome/physiology
Humans
*Obesity/microbiology/metabolism
Bacteria/classification
          
RevDate: 2025-10-31
Low-dose chlorite drives stable nitrite accumulation for partial denitrification.
Environmental research pii:S0013-9351(25)02487-9 [Epub ahead of print].
Achieving stable and efficient nitrite accumulation in partial denitrification (PD) requires precise control techniques, which poses a challenge to its practical application. This study introduces a new strategy using chlorite (ClO2[-]) as a regulatory factor to halt denitrification at the nitrite stage, ensuring stable and efficient PD. The effectiveness of this approach was assessed in a continuously operated PD biofilter. At different ClO2[-] concentrations, the nitrite accumulation rate (NTR) reached its peak at 97.6% at 1.00 mg/L ClO2[-], with effluent nitrate-nitrogen (NO3[-]-N) as low as 0.61 mg/L. The chlorite-regulated PD filter exhibited a rapid start-up period, reaching optimal performance within 7 days and maintaining stable operation for over 30 days. Moreover, this PD biofilter sustained a nitrite accumulation rate above 67.5% across a wide range of carbon/nitrogen ratios (C/N) (2-4) and remained efficient at an extremely short hydraulic retention time of 30 min. Additionally, ClO2[-] easily degrade into non-toxic chloride ion (Cl[-]) and oxygen (O2) in the environment, thereby preventing secondary pollution. Metagenomic analysis identified Thauera (16.4%), Simplicispira (14.7%), and Flavobacterium (14.0%) as key contributors to nitrite accumulation. Furthermore, according to the real-time quantitative polymerase chain reaction (qPCR) results, chlorite exposure upregulated the nitrate reductase gene (nar) and downregulated the nitrite reductase gene (nir). Finally, the final effluent Total Inorganic Nitrogen (TIN) concentration of 10.26 mg/L was achieved through the Partial denitrification/Anammox (PD/A) coupling process. This study provides new insights into nitrite accumulation in PD/A and presents valuable guidance for optimizing the PD/A process in engineering applications.
Additional Links: PMID-41173365
Publisher:
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41173365,
            year = {2025},
            author = {Liu, H and Qu, Y and Yue, Y and Cui, X and Wang, X and Wang, C and Geng, Z and Zhang, L and Sun, M and Huo, M},
            title = {Low-dose chlorite drives stable nitrite accumulation for partial denitrification.},
            journal = {Environmental research},
            volume = {},
            number = {},
            pages = {123234},
            doi = {10.1016/j.envres.2025.123234},
            pmid = {41173365},
            issn = {1096-0953},
            abstract = {Achieving stable and efficient nitrite accumulation in partial denitrification (PD) requires precise control techniques, which poses a challenge to its practical application. This study introduces a new strategy using chlorite (ClO2[-]) as a regulatory factor to halt denitrification at the nitrite stage, ensuring stable and efficient PD. The effectiveness of this approach was assessed in a continuously operated PD biofilter. At different ClO2[-] concentrations, the nitrite accumulation rate (NTR) reached its peak at 97.6% at 1.00 mg/L ClO2[-], with effluent nitrate-nitrogen (NO3[-]-N) as low as 0.61 mg/L. The chlorite-regulated PD filter exhibited a rapid start-up period, reaching optimal performance within 7 days and maintaining stable operation for over 30 days. Moreover, this PD biofilter sustained a nitrite accumulation rate above 67.5% across a wide range of carbon/nitrogen ratios (C/N) (2-4) and remained efficient at an extremely short hydraulic retention time of 30 min. Additionally, ClO2[-] easily degrade into non-toxic chloride ion (Cl[-]) and oxygen (O2) in the environment, thereby preventing secondary pollution. Metagenomic analysis identified Thauera (16.4%), Simplicispira (14.7%), and Flavobacterium (14.0%) as key contributors to nitrite accumulation. Furthermore, according to the real-time quantitative polymerase chain reaction (qPCR) results, chlorite exposure upregulated the nitrate reductase gene (nar) and downregulated the nitrite reductase gene (nir). Finally, the final effluent Total Inorganic Nitrogen (TIN) concentration of 10.26 mg/L was achieved through the Partial denitrification/Anammox (PD/A) coupling process. This study provides new insights into nitrite accumulation in PD/A and presents valuable guidance for optimizing the PD/A process in engineering applications.},
            }
          
RevDate: 2025-10-31
Laboratory innovations to diagnose invasive mould infections - what is relevant, what is not?.
Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases pii:S1198-743X(25)00518-X [Epub ahead of print].
            BACKGROUND: Invasive mould infections (IMI) carry high morbidity and mortality. Conventional diagnostics - histopathology, culture and microscopy - rely on invasive sampling and lack sensitivity, particularly during early phases of infection. Rare and mixed mould infections are frequently diagnosed too late or missed.
OBJECTIVES: To provide a narrative review of recent innovations in diagnosing IMIs, highlighting advances, identifying areas where progress remains limited, and assessing gaps in current diagnostic algorithms to guide future directions.
SOURCES: We performed a literature search regarding diagnostic methods for IMIs without date restrictions, including experimental and clinical studies, systematic reviews and meta-analyses.
CONTENT: Rapid lateral-flow assays and single-sample chemiluminescent immunoassays for detecting Aspergillus antigens in blood and BALF now complement enzyme immunoassays (EIA). Novel targets, such as urinary glycans and siderophores in various biological matrices, show potential to diagnose IMI. Targeted PCRs for Aspergillus and Mucorales enable earlier detection than conventional methods and rapid detection of resistance in case of A. fumigatus, though isolated Aspergillus PCR positivity is challenging to interpret. Metagenomic next-generation sequencing (mNGS) expands pathogen detection but is limited by costs and technical and interpretative challenges. A shift towards assays based on the host immune response (functional immune assays and biochemical markers) shows promise but remains investigational.
IMPLICATIONS: Due to different commercially available test formats, Aspergillus antigen detection assays can now be implemented in many hospitals. Implementation of Mucorales PCR tests improves the diagnosis of mucormycosis also in the setting of coinfections. Multimodal pathogen-based strategies that integrate antigen assays, targeted PCRs, and, in select cases, mNGS enable earlier, more accurate, and comprehensive diagnosis of IMIs ultimately improving clinical outcomes; but the need for rapid, accurate, non-invasive diagnostic tests for IMIs remains. Host-response based assays are not yet clinic-ready. Prospective multicentre studies are needed to standardize diagnostic thresholds, validate novel diagnostic markers and to evaluate impact on patient outcomes and cost-effectiveness.
          
Additional Links: PMID-41173342
Publisher:
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41173342,
            year = {2025},
            author = {Vanbiervliet, Y and Aerts, R and Maessen, L and Wauters, J and Maertens, J and Lagrou, K},
            title = {Laboratory innovations to diagnose invasive mould infections - what is relevant, what is not?.},
            journal = {Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases},
            volume = {},
            number = {},
            pages = {},
            doi = {10.1016/j.cmi.2025.10.017},
            pmid = {41173342},
            issn = {1469-0691},
            abstract = {BACKGROUND: Invasive mould infections (IMI) carry high morbidity and mortality. Conventional diagnostics - histopathology, culture and microscopy - rely on invasive sampling and lack sensitivity, particularly during early phases of infection. Rare and mixed mould infections are frequently diagnosed too late or missed.
OBJECTIVES: To provide a narrative review of recent innovations in diagnosing IMIs, highlighting advances, identifying areas where progress remains limited, and assessing gaps in current diagnostic algorithms to guide future directions.
SOURCES: We performed a literature search regarding diagnostic methods for IMIs without date restrictions, including experimental and clinical studies, systematic reviews and meta-analyses.
CONTENT: Rapid lateral-flow assays and single-sample chemiluminescent immunoassays for detecting Aspergillus antigens in blood and BALF now complement enzyme immunoassays (EIA). Novel targets, such as urinary glycans and siderophores in various biological matrices, show potential to diagnose IMI. Targeted PCRs for Aspergillus and Mucorales enable earlier detection than conventional methods and rapid detection of resistance in case of A. fumigatus, though isolated Aspergillus PCR positivity is challenging to interpret. Metagenomic next-generation sequencing (mNGS) expands pathogen detection but is limited by costs and technical and interpretative challenges. A shift towards assays based on the host immune response (functional immune assays and biochemical markers) shows promise but remains investigational.
IMPLICATIONS: Due to different commercially available test formats, Aspergillus antigen detection assays can now be implemented in many hospitals. Implementation of Mucorales PCR tests improves the diagnosis of mucormycosis also in the setting of coinfections. Multimodal pathogen-based strategies that integrate antigen assays, targeted PCRs, and, in select cases, mNGS enable earlier, more accurate, and comprehensive diagnosis of IMIs ultimately improving clinical outcomes; but the need for rapid, accurate, non-invasive diagnostic tests for IMIs remains. Host-response based assays are not yet clinic-ready. Prospective multicentre studies are needed to standardize diagnostic thresholds, validate novel diagnostic markers and to evaluate impact on patient outcomes and cost-effectiveness.},
            }
          
RevDate: 2025-10-31
Complex evolutionary dynamics including reassortment drive genome diversity in human rotavirus species a circulating in Ireland.
Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases pii:S1567-1348(25)00137-6 [Epub ahead of print].
Rotavirus A (RVA), belonging to the species Rotavirus alphagastroenteritidis, is among the most frequently diagnosed viral causes of gastroenteritis. The inclusion of RVA vaccines in the primary childhood immunisation schedules of multiple countries has led to significant reductions in yearly-reported cases. Nevertheless, such interventions may exert selective pressures that could result in the emergence of novel vaccine escape variants. RVA classification has traditionally focused on two of eleven gene segments encoding the capsid proteins, VP4 and VP7, which limits evolutionary assessments of genomic diversity and reassortments involving the other segments. A viral metagenomics approach (NetoVIR) was employed to investigate the genomic diversity of RVA in Ireland. The analysis focused on clinical samples (n = 140) collected from patients between 2015 and 2021. Besides the Wa-like or DS-1-like genotype constellations, 4/140 genomes (3 %) were identified as reassortant, with an NSP2 genotype 1 in a DS-1-like constellation. Also, we confirmed the circulation of OP354-like P[8] strains in six G9P[8] samples. Notably, these strains show dissimilarity in the antigenic epitopes of the VP4 protein compared to the Rotarix vaccine. Furthermore, we detected strains with an equine-like G3 (EQL-G3) VP7 gene within a DS-1-like constellation (n = 5/140, 4 %) and the unusual combination of G1P[8] with a DS-1-like constellation in 6/22 (27 %) of the G1P[8] samsples. Our study supports using a viral metagenomic approach for RVA genetic characterisation to determine pathogen diversity and reassortments. The public health implications of the identified reassortant RVA strains, requires investigations for any potential impacts on vaccine efficacies.
Additional Links: PMID-41173130
Publisher:
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41173130,
            year = {2025},
            author = {Gonzalez, G and Carr, MJ and Byrne, H and Colgan, A and Hare, D and Sawa, H and De Gascun, CF and Matthijnssens, J and Yandle, Z},
            title = {Complex evolutionary dynamics including reassortment drive genome diversity in human rotavirus species a circulating in Ireland.},
            journal = {Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases},
            volume = {},
            number = {},
            pages = {105848},
            doi = {10.1016/j.meegid.2025.105848},
            pmid = {41173130},
            issn = {1567-7257},
            abstract = {Rotavirus A (RVA), belonging to the species Rotavirus alphagastroenteritidis, is among the most frequently diagnosed viral causes of gastroenteritis. The inclusion of RVA vaccines in the primary childhood immunisation schedules of multiple countries has led to significant reductions in yearly-reported cases. Nevertheless, such interventions may exert selective pressures that could result in the emergence of novel vaccine escape variants. RVA classification has traditionally focused on two of eleven gene segments encoding the capsid proteins, VP4 and VP7, which limits evolutionary assessments of genomic diversity and reassortments involving the other segments. A viral metagenomics approach (NetoVIR) was employed to investigate the genomic diversity of RVA in Ireland. The analysis focused on clinical samples (n = 140) collected from patients between 2015 and 2021. Besides the Wa-like or DS-1-like genotype constellations, 4/140 genomes (3 %) were identified as reassortant, with an NSP2 genotype 1 in a DS-1-like constellation. Also, we confirmed the circulation of OP354-like P[8] strains in six G9P[8] samples. Notably, these strains show dissimilarity in the antigenic epitopes of the VP4 protein compared to the Rotarix vaccine. Furthermore, we detected strains with an equine-like G3 (EQL-G3) VP7 gene within a DS-1-like constellation (n = 5/140, 4 %) and the unusual combination of G1P[8] with a DS-1-like constellation in 6/22 (27 %) of the G1P[8] samsples. Our study supports using a viral metagenomic approach for RVA genetic characterisation to determine pathogen diversity and reassortments. The public health implications of the identified reassortant RVA strains, requires investigations for any potential impacts on vaccine efficacies.},
            }
          
RevDate: 2025-10-31
Genome insights into Hydrogenophaga taeniospiralis and its R-body genetic determinants.
Systematic and applied microbiology, 48(6):126664 pii:S0723-2020(25)00086-4 [Epub ahead of print].
The genome of Hydrogenophaga taeniospiralis 2K1[T], the type and only strain of the species, was analysed. The genes encoding elements involved in autotrophic and chemolithotrophic growth that oxidize H2 in addition to other metabolic traits, such as potential nitrogen fixation capability, are described. A phylogenomic analysis of the taxonomy of members of the genus reveals a high number of species not yet described in the genus, especially if the numerous metagenomes obtained from environmental samples are included. The differences from the closest related genera, Malikia and Serpentinimonas, are highlighted and the delineation of the genus Hydrogenophaga is discussed based on phylogenomic analysis. Furthermore, a survey of metagenomes available in public databases demonstrates the wide environmental and geographic distribution of Hydrogenophaga strains. H. taeniospiralis 2K1[T] is the first free-living bacterium described for its ability to synthesize R- bodies, which are intracytoplasmic extendable protein ribbons associated mainly with toxic effects. The genetic determinants of R-body synthesis are analysed and compared with those found in other Hydrogenophaga genomes and strains from other genera.
Additional Links: PMID-41172871
Publisher:
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41172871,
            year = {2025},
            author = {Lalucat, J and Busquets, A and Mulet, M and Riesco, R and GarcÃa-Valdés, E and Gomila, M},
            title = {Genome insights into Hydrogenophaga taeniospiralis and its R-body genetic determinants.},
            journal = {Systematic and applied microbiology},
            volume = {48},
            number = {6},
            pages = {126664},
            doi = {10.1016/j.syapm.2025.126664},
            pmid = {41172871},
            issn = {1618-0984},
            abstract = {The genome of Hydrogenophaga taeniospiralis 2K1[T], the type and only strain of the species, was analysed. The genes encoding elements involved in autotrophic and chemolithotrophic growth that oxidize H2 in addition to other metabolic traits, such as potential nitrogen fixation capability, are described. A phylogenomic analysis of the taxonomy of members of the genus reveals a high number of species not yet described in the genus, especially if the numerous metagenomes obtained from environmental samples are included. The differences from the closest related genera, Malikia and Serpentinimonas, are highlighted and the delineation of the genus Hydrogenophaga is discussed based on phylogenomic analysis. Furthermore, a survey of metagenomes available in public databases demonstrates the wide environmental and geographic distribution of Hydrogenophaga strains. H. taeniospiralis 2K1[T] is the first free-living bacterium described for its ability to synthesize R- bodies, which are intracytoplasmic extendable protein ribbons associated mainly with toxic effects. The genetic determinants of R-body synthesis are analysed and compared with those found in other Hydrogenophaga genomes and strains from other genera.},
            }
          
RevDate: 2025-10-31
Carbohydrate-metabolizing gastrointestinal bacteria mediate resistome divergence in high feed efficiency Holstein dairy calves.
Journal of hazardous materials, 499:140283 pii:S0304-3894(25)03203-0 [Epub ahead of print].
Improvements in feed efficiency often involve alterations in nutrient metabolism mediated by gastrointestinal microorganisms. These microorganisms serve as carriers of antibiotic resistance genes (ARGs); therefore, metabolic changes may influence the dissemination of ARGs. In this study, we investigated the variations in gastrointestinal ARGs between female Holstein calves exhibiting low residual feed intake (LRFI) with high feed efficiencies and those exhibiting high residual feed intake (HRFI) with low feed efficiencies. Metagenomics was conducted to analyze the underlying factors driving these differences. The LRFI calves exhibited 16.6 % higher ruminal ARG abundance but had reduced fecal ARG diversity. The abundance of Erysipelotrichaceae enrichment in LRFI rumen drove resistance functions and elevated carbohydrate-active enzymes (CAZymes) expression. Correlation analysis linked LRFI rumen enriched bacteria Erysipelotrichaceae and Coprobacillaceae to CAZymes, which were positively associated with multidrug, fluoroquinolone, and MLS resistance functions. Weighted Gene Co-Expression Network Analysis confirmed these resistance functions were dominant in LRFI calves. CAZymes improved substrate utilization, enhanced bacterial efflux resistance, promoted bacterial proliferation, and upregulated resistance genes. Rumen microbes and their resistomes systemically alter microbiota and ARG profiles in the feces. The contributions of fecal microbial abundance and diversity, mobile genetic elements (MGEs), and starch to the differences in ARGs were 14.92 %, 11.18 %, 8.90 %, and 10.25 %, respectively. In summary, LRFI calves require more CAZymes to reshape gut microbiota and ARG carrier populations, which lead to shifts in gastrointestinal ARG abundance/diversity shifts.
Additional Links: PMID-41172852
Publisher:
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41172852,
            year = {2025},
            author = {Chen, T and Li, S and Xiao, J and Peng, R and Sha, M and Wang, J and Ma, J and Wang, W and Ma, M and Li, S and Cao, Z and Liu, S},
            title = {Carbohydrate-metabolizing gastrointestinal bacteria mediate resistome divergence in high feed efficiency Holstein dairy calves.},
            journal = {Journal of hazardous materials},
            volume = {499},
            number = {},
            pages = {140283},
            doi = {10.1016/j.jhazmat.2025.140283},
            pmid = {41172852},
            issn = {1873-3336},
            abstract = {Improvements in feed efficiency often involve alterations in nutrient metabolism mediated by gastrointestinal microorganisms. These microorganisms serve as carriers of antibiotic resistance genes (ARGs); therefore, metabolic changes may influence the dissemination of ARGs. In this study, we investigated the variations in gastrointestinal ARGs between female Holstein calves exhibiting low residual feed intake (LRFI) with high feed efficiencies and those exhibiting high residual feed intake (HRFI) with low feed efficiencies. Metagenomics was conducted to analyze the underlying factors driving these differences. The LRFI calves exhibited 16.6 % higher ruminal ARG abundance but had reduced fecal ARG diversity. The abundance of Erysipelotrichaceae enrichment in LRFI rumen drove resistance functions and elevated carbohydrate-active enzymes (CAZymes) expression. Correlation analysis linked LRFI rumen enriched bacteria Erysipelotrichaceae and Coprobacillaceae to CAZymes, which were positively associated with multidrug, fluoroquinolone, and MLS resistance functions. Weighted Gene Co-Expression Network Analysis confirmed these resistance functions were dominant in LRFI calves. CAZymes improved substrate utilization, enhanced bacterial efflux resistance, promoted bacterial proliferation, and upregulated resistance genes. Rumen microbes and their resistomes systemically alter microbiota and ARG profiles in the feces. The contributions of fecal microbial abundance and diversity, mobile genetic elements (MGEs), and starch to the differences in ARGs were 14.92 %, 11.18 %, 8.90 %, and 10.25 %, respectively. In summary, LRFI calves require more CAZymes to reshape gut microbiota and ARG carrier populations, which lead to shifts in gastrointestinal ARG abundance/diversity shifts.},
            }
          
            RevDate: 2025-10-31
CmpDate: 2025-10-31
          
Biological dynamics of no-tillage soils in the western region of Paraná.
Brazilian journal of biology = Revista brasleira de biologia, 85:e298630 pii:S1519-69842025000100367.
This study investigates soil dynamics on farms in the western region of Paraná, Brazil, highlighting the importance of biological parameters in agriculture. In particular, focusing on the interaction of management practices with soil biodiversity and biological functions, the aim is to understand and promote sustainable and efficient agricultural practices. To do this, we collected soil samples from 15 farms close to Toledo, Paraná, Brazil. These samples were then analyzed to determine biological and physicochemical parameters using techniques such as carbon and nitrogen microbial biomass, metabolic coefficient, basal respiration, bacterial and fungal biomass, and length of the hyphae. The most contrasting soils were evaluated for physicochemical composition and metagenomic analyses. The results showed significant differences in biological parameters between 2020 and 2021, including fungal biomass, hyphae length, and soil basal respiration. Statistical analyzes revealed strong relationships between biological variables, notably the correlation between fungal hyphae and total nitrogen. Climate changes and management practices appear to influence the microbial composition and biological functions of the soil over the years. Soil P9 stood out with superior biological activity and richer microbial diversity, contrasting with soil P13. These differences reflect the influence of management and climatic conditions on soil composition and biological functions. The microbial comparison of the soils emphasized the need for continuous and careful agricultural management, highlighting the importance of biodiversity and ecological functionality of the soil for agricultural sustainability. So, the study underscores the relevance of considering soil biological parameters, in addition to physicochemical aspects, to optimize soil health and productivity.
Additional Links: PMID-41172529
Publisher:
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41172529,
            year = {2025},
            author = {Lima, JD and Rivadavea, WR and Calgaro, LC and Alberton, O and Costa, MSSM and Lima, JC and Monteiro, PHR and Kuhn, EV and Silva, GJ},
            title = {Biological dynamics of no-tillage soils in the western region of Paraná.},
            journal = {Brazilian journal of biology = Revista brasleira de biologia},
            volume = {85},
            number = {},
            pages = {e298630},
            doi = {10.1590/1519-6984.298630},
            pmid = {41172529},
            issn = {1678-4375},
            mesh = {*Soil Microbiology ; *Soil/chemistry ; Brazil ; Nitrogen/analysis ; *Agriculture/methods ; Biomass ; Biodiversity ; Fungi/classification ; Carbon/analysis ; },
            abstract = {This study investigates soil dynamics on farms in the western region of Paraná, Brazil, highlighting the importance of biological parameters in agriculture. In particular, focusing on the interaction of management practices with soil biodiversity and biological functions, the aim is to understand and promote sustainable and efficient agricultural practices. To do this, we collected soil samples from 15 farms close to Toledo, Paraná, Brazil. These samples were then analyzed to determine biological and physicochemical parameters using techniques such as carbon and nitrogen microbial biomass, metabolic coefficient, basal respiration, bacterial and fungal biomass, and length of the hyphae. The most contrasting soils were evaluated for physicochemical composition and metagenomic analyses. The results showed significant differences in biological parameters between 2020 and 2021, including fungal biomass, hyphae length, and soil basal respiration. Statistical analyzes revealed strong relationships between biological variables, notably the correlation between fungal hyphae and total nitrogen. Climate changes and management practices appear to influence the microbial composition and biological functions of the soil over the years. Soil P9 stood out with superior biological activity and richer microbial diversity, contrasting with soil P13. These differences reflect the influence of management and climatic conditions on soil composition and biological functions. The microbial comparison of the soils emphasized the need for continuous and careful agricultural management, highlighting the importance of biodiversity and ecological functionality of the soil for agricultural sustainability. So, the study underscores the relevance of considering soil biological parameters, in addition to physicochemical aspects, to optimize soil health and productivity.},
            }
          
MeSH Terms:
show MeSH Terms
hide MeSH Terms
*Soil Microbiology
*Soil/chemistry
Brazil
Nitrogen/analysis
*Agriculture/methods
Biomass
Biodiversity
Fungi/classification
Carbon/analysis
          
RevDate: 2025-10-31
Ammonia oxidation by aerobic methanotrophs as a source of marine nitrous oxide.
The ISME journal pii:8307424 [Epub ahead of print].
Aerobic methanotrophs encode a hydroxylamine oxidoreductase, which facilitates the oxidation of ammonia to nitrite or nitric oxide, potentially leading to nitrous oxide production. Aerobic methane oxidation has been documented in shallow marine waters or the water column of the open ocean. However, little is known about the distribution pattern of marine aerobic methanotrophs containing hydroxylamine oxidoreductase and their contribution to marine nitrous oxide emissions. Here, by analyzing global marine metagenomes, we show that hydroxylamine oxidoreductase-containing aerobic methanotrophs were widely distributed across diverse marine habitats, with higher abundances in methane seep systems and estuary regions than in other environments. Among these, aerobic methanotrophs belonging to Gammaproteobacteria were the most widely distributed and abundant functional group. We also identified a second order within Gammaproteobacteria (Ga0077536) potentially capable of aerobic methanotrophy, and a complete repertoire of denitrification genes in a gammaproteobacterial methanotroph, expanding the phylogenetic and functional diversity of marine aerobic methanotrophs. By using enrichments of estuarine methanotrophs in combination with 15N stable isotope tracing and metatranscriptomic analysis, we indicate that marine aerobic methanotrophs take part in ammonia oxidation and nitrous oxide production. The ammonia oxidation can persist for approximately 6 days, and the nitrous oxide produced is at least partially derived from the hydroxylamine oxidation. Given the prevalence of denitrification genes in aerobic methanotrophs, methane oxidation may also be coupled to NOx- reduction under anoxic marine conditions, potentially contributing to nitrous oxide production. The intrinsic nature of aerobic methanotrophs could partially offset the mitigation of global warming achieved through the methane consumption.
Additional Links: PMID-41172139
Publisher:
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41172139,
            year = {2025},
            author = {Yang, S and Zhang, J and Ou, Y and Liu, W and Tian, X and Hou, LJ and Dong, HP},
            title = {Ammonia oxidation by aerobic methanotrophs as a source of marine nitrous oxide.},
            journal = {The ISME journal},
            volume = {},
            number = {},
            pages = {},
            doi = {10.1093/ismejo/wraf242},
            pmid = {41172139},
            issn = {1751-7370},
            abstract = {Aerobic methanotrophs encode a hydroxylamine oxidoreductase, which facilitates the oxidation of ammonia to nitrite or nitric oxide, potentially leading to nitrous oxide production. Aerobic methane oxidation has been documented in shallow marine waters or the water column of the open ocean. However, little is known about the distribution pattern of marine aerobic methanotrophs containing hydroxylamine oxidoreductase and their contribution to marine nitrous oxide emissions. Here, by analyzing global marine metagenomes, we show that hydroxylamine oxidoreductase-containing aerobic methanotrophs were widely distributed across diverse marine habitats, with higher abundances in methane seep systems and estuary regions than in other environments. Among these, aerobic methanotrophs belonging to Gammaproteobacteria were the most widely distributed and abundant functional group. We also identified a second order within Gammaproteobacteria (Ga0077536) potentially capable of aerobic methanotrophy, and a complete repertoire of denitrification genes in a gammaproteobacterial methanotroph, expanding the phylogenetic and functional diversity of marine aerobic methanotrophs. By using enrichments of estuarine methanotrophs in combination with 15N stable isotope tracing and metatranscriptomic analysis, we indicate that marine aerobic methanotrophs take part in ammonia oxidation and nitrous oxide production. The ammonia oxidation can persist for approximately 6 days, and the nitrous oxide produced is at least partially derived from the hydroxylamine oxidation. Given the prevalence of denitrification genes in aerobic methanotrophs, methane oxidation may also be coupled to NOx- reduction under anoxic marine conditions, potentially contributing to nitrous oxide production. The intrinsic nature of aerobic methanotrophs could partially offset the mitigation of global warming achieved through the methane consumption.},
            }
          
            RevDate: 2025-10-31
CmpDate: 2025-10-31
          
Metagenomic analysis reveals the abundance changes of bacterial communities and antibiotic resistance genes in the influent and effluent of hospital wastewater.
PloS one, 20(10):e0335723.
The presence of substantial quantities of antibiotics and their metabolites in hospital wastewater can lead to the accumulation of antibiotic-resistant bacteria (ARB) and antibiotic resistance genes (ARGs). Research on the influent and effluent sewage of hospitals is crucial for understanding the effectiveness of wastewater treatment systems in inactivating ARB and ARGs. Key features of microbial communities and ARGs in influent and effluent wastewater - including taxonomic diversity and relative abundance - were assessed via metagenomic sequencing. The treatment process resulted in a reduction of the overall bacterial count in hospital wastewater. However, a notable increase in relative abundance was observed for three phyla, 16 genera, and 21 species post-treatment. Bacteria harboring ARGs were predominantly identified as belonging to Pseudomonadota and Bacillota. A total of 354 ARGs were detected in the influent, while 331 were identified in the effluent samples, with a general decrease in absolute abundance. Nevertheless, the relative abundance of certain ARGs, such as mphG, fosA8, and soxR, was found to increase in the effluent across all samples. Seasonal fluctuations also played a role in the distribution of microbial communities and ARGs. These findings underscore the role of hospital wastewater treatment systems in reducing the discharge of ARB and ARGs into the environment, while also revealing potential shortcomings in the wastewater treatment process that necessitate further improvement for more effective removal of these ARGs.
Additional Links: PMID-41171744
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41171744,
            year = {2025},
            author = {Jia, X and Peng, J and Lv, J and Li, Y and Luo, Z and Xiang, J and Hou, Y and Zheng, Q and Han, B},
            title = {Metagenomic analysis reveals the abundance changes of bacterial communities and antibiotic resistance genes in the influent and effluent of hospital wastewater.},
            journal = {PloS one},
            volume = {20},
            number = {10},
            pages = {e0335723},
            pmid = {41171744},
            issn = {1932-6203},
            mesh = {*Wastewater/microbiology ; *Metagenomics/methods ; *Bacteria/genetics/drug effects/classification ; Hospitals ; *Drug Resistance, Microbial/genetics ; *Drug Resistance, Bacterial/genetics ; *Genes, Bacterial ; Anti-Bacterial Agents/pharmacology ; Metagenome ; Sewage/microbiology ; },
            abstract = {The presence of substantial quantities of antibiotics and their metabolites in hospital wastewater can lead to the accumulation of antibiotic-resistant bacteria (ARB) and antibiotic resistance genes (ARGs). Research on the influent and effluent sewage of hospitals is crucial for understanding the effectiveness of wastewater treatment systems in inactivating ARB and ARGs. Key features of microbial communities and ARGs in influent and effluent wastewater - including taxonomic diversity and relative abundance - were assessed via metagenomic sequencing. The treatment process resulted in a reduction of the overall bacterial count in hospital wastewater. However, a notable increase in relative abundance was observed for three phyla, 16 genera, and 21 species post-treatment. Bacteria harboring ARGs were predominantly identified as belonging to Pseudomonadota and Bacillota. A total of 354 ARGs were detected in the influent, while 331 were identified in the effluent samples, with a general decrease in absolute abundance. Nevertheless, the relative abundance of certain ARGs, such as mphG, fosA8, and soxR, was found to increase in the effluent across all samples. Seasonal fluctuations also played a role in the distribution of microbial communities and ARGs. These findings underscore the role of hospital wastewater treatment systems in reducing the discharge of ARB and ARGs into the environment, while also revealing potential shortcomings in the wastewater treatment process that necessitate further improvement for more effective removal of these ARGs.},
            }
          
MeSH Terms:
show MeSH Terms
hide MeSH Terms
*Wastewater/microbiology
*Metagenomics/methods
*Bacteria/genetics/drug effects/classification
Hospitals
*Drug Resistance, Microbial/genetics
*Drug Resistance, Bacterial/genetics
*Genes, Bacterial
Anti-Bacterial Agents/pharmacology
Metagenome
Sewage/microbiology
          
            RevDate: 2025-10-31
CmpDate: 2025-10-31
          
Gut microbiota profiling of Apis cerana indica across biodiversity hotspots in the Western Ghats, India.
Molecular biology reports, 53(1):35.
            BACKGROUND: The gut microbiome of honey bees plays a crucial role in regulating key physiological traits and metabolic processes, including digestion, detoxification, nutrient assimilation, development and immunity. However, information on the gut bacterial diversity of Apis cerana indica bee populations in India remains limited. This study aims to address this critical knowledge gap in Western Ghats, India with outcomes that may provide valuable insights for improving beekeeping practices in the region.
METHODS AND RESULTS: To fill this gap, we investigated and characterized the gut bacteriome of A. cerana indica collected from two ecologically distinct regions within the Western Ghats. We employed a combination of next-generation sequencing (NGS) using the Oxford Nanopore platform and traditional culture-based methods targeting the 16S rRNA gene to analyze the microbial communities. Our results revealed that the gut bacterial communities of foraging A. cerana indica bees from both locations displayed unique and overlapping microbiome profiles. A total of 225 bacterial species across 30 bacterial orders were identified via 16S rRNA amplicon sequencing, with 92 species shared between the two sites. Prominent symbiotic bacterial groups included Gammaproteobacteria, Betaproteobacteria, Flavobacteria, Actinobacteria, Firmicutes, Proteobacteria, and Actinomycetota. Notably, core bee-associated symbionts exhibited a negative correlation with pathogenic bacterial taxa.
CONCLUSION: These findings offer valuable insights into the ecological and functional roles of the gut microbiome in A. cerana indica, a native honeybee species of the Western Ghats. The presence of shared bacterial species across regions suggests their potential significance in formulating conservation strategies for indigenous bee populations.
          
Additional Links: PMID-41171541
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41171541,
            year = {2025},
            author = {Joseph, JS and Selvamani, SB and Thiruvengadam, V and Ramasamy, GG and Subramanian, S and Menon, G and Sivakumar, G and Manjunath, C},
            title = {Gut microbiota profiling of Apis cerana indica across biodiversity hotspots in the Western Ghats, India.},
            journal = {Molecular biology reports},
            volume = {53},
            number = {1},
            pages = {35},
            pmid = {41171541},
            issn = {1573-4978},
            mesh = {Bees/microbiology ; Animals ; *Gastrointestinal Microbiome/genetics ; India ; RNA, Ribosomal, 16S/genetics ; Biodiversity ; Bacteria/genetics/classification ; High-Throughput Nucleotide Sequencing/methods ; Phylogeny ; },
            abstract = {BACKGROUND: The gut microbiome of honey bees plays a crucial role in regulating key physiological traits and metabolic processes, including digestion, detoxification, nutrient assimilation, development and immunity. However, information on the gut bacterial diversity of Apis cerana indica bee populations in India remains limited. This study aims to address this critical knowledge gap in Western Ghats, India with outcomes that may provide valuable insights for improving beekeeping practices in the region.
METHODS AND RESULTS: To fill this gap, we investigated and characterized the gut bacteriome of A. cerana indica collected from two ecologically distinct regions within the Western Ghats. We employed a combination of next-generation sequencing (NGS) using the Oxford Nanopore platform and traditional culture-based methods targeting the 16S rRNA gene to analyze the microbial communities. Our results revealed that the gut bacterial communities of foraging A. cerana indica bees from both locations displayed unique and overlapping microbiome profiles. A total of 225 bacterial species across 30 bacterial orders were identified via 16S rRNA amplicon sequencing, with 92 species shared between the two sites. Prominent symbiotic bacterial groups included Gammaproteobacteria, Betaproteobacteria, Flavobacteria, Actinobacteria, Firmicutes, Proteobacteria, and Actinomycetota. Notably, core bee-associated symbionts exhibited a negative correlation with pathogenic bacterial taxa.
CONCLUSION: These findings offer valuable insights into the ecological and functional roles of the gut microbiome in A. cerana indica, a native honeybee species of the Western Ghats. The presence of shared bacterial species across regions suggests their potential significance in formulating conservation strategies for indigenous bee populations.},
            }
          
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Bees/microbiology
Animals
*Gastrointestinal Microbiome/genetics
India
RNA, Ribosomal, 16S/genetics
Biodiversity
Bacteria/genetics/classification
High-Throughput Nucleotide Sequencing/methods
Phylogeny
          
            RevDate: 2025-10-31
CmpDate: 2025-10-31
          
Utilization of Chlorella vulgaris biomass in microbial fuel cell as a feed and the study on its degradation pathway.
Water science and technology : a journal of the International Association on Water Pollution Research, 92(8):1104-1117.
Microbial fuel cells (MFCs) represent an advanced and environmentally friendly bioenergy technology with significant potential for simultaneous power generation and wastewater treatment. This study specifically compared the anodic performance of MFCs with Chlorella vulgaris versus those fed with acetate. Dual-chamber MFCs were constructed for simultaneous electricity generation and wastewater treatment. In addition, microbial communities of both the MFCs and the gene function of MFC-Ch were analyzed through metagenomic sequencing. When comparing all the electrochemical parameters produced from MFCs, MFC-Ch is slightly more efficient than MFC-A. Metagenomic analysis showed that Proteobacteria was the predominant phylum in MFC-A, whereas Bacteroidota was predominant in MFC-Ch. COG (Clusters of Orthologous Groups) analysis of the primary metabolic pathways in the anolyte of MFC-Ch revealed a relatively high abundance of genes associated with several metabolic pathways during MFC operation, including amino acid transport and metabolism, carbohydrate transport and metabolism, and coenzyme transport and metabolism. The study on carbohydrate and protein degradation indicated that protein metabolism occurred to a greater extent than carbohydrate metabolism. This aligns with the known ability of some bacteria present in the sludge to promote amino acid metabolism in MFCs, a finding further supported by the positive correlation observed in the COG analysis.
Additional Links: PMID-41171444
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41171444,
            year = {2025},
            author = {U, A and Chacko, A and Priyadarshini, M and P P, R},
            title = {Utilization of Chlorella vulgaris biomass in microbial fuel cell as a feed and the study on its degradation pathway.},
            journal = {Water science and technology : a journal of the International Association on Water Pollution Research},
            volume = {92},
            number = {8},
            pages = {1104-1117},
            pmid = {41171444},
            issn = {0273-1223},
            support = {//Cochin University of Science and Technology/ ; },
            mesh = {*Chlorella vulgaris/metabolism ; *Bioelectric Energy Sources/microbiology ; *Biomass ; Waste Disposal, Fluid/methods ; },
            abstract = {Microbial fuel cells (MFCs) represent an advanced and environmentally friendly bioenergy technology with significant potential for simultaneous power generation and wastewater treatment. This study specifically compared the anodic performance of MFCs with Chlorella vulgaris versus those fed with acetate. Dual-chamber MFCs were constructed for simultaneous electricity generation and wastewater treatment. In addition, microbial communities of both the MFCs and the gene function of MFC-Ch were analyzed through metagenomic sequencing. When comparing all the electrochemical parameters produced from MFCs, MFC-Ch is slightly more efficient than MFC-A. Metagenomic analysis showed that Proteobacteria was the predominant phylum in MFC-A, whereas Bacteroidota was predominant in MFC-Ch. COG (Clusters of Orthologous Groups) analysis of the primary metabolic pathways in the anolyte of MFC-Ch revealed a relatively high abundance of genes associated with several metabolic pathways during MFC operation, including amino acid transport and metabolism, carbohydrate transport and metabolism, and coenzyme transport and metabolism. The study on carbohydrate and protein degradation indicated that protein metabolism occurred to a greater extent than carbohydrate metabolism. This aligns with the known ability of some bacteria present in the sludge to promote amino acid metabolism in MFCs, a finding further supported by the positive correlation observed in the COG analysis.},
            }
          
MeSH Terms:
show MeSH Terms
hide MeSH Terms
*Chlorella vulgaris/metabolism
*Bioelectric Energy Sources/microbiology
*Biomass
Waste Disposal, Fluid/methods
          
RevDate: 2025-10-31
gcMeta 2025: a global repository of metagenome-assembled genomes enabling cross-ecosystem microbial discovery and function research.
Nucleic acids research pii:8307362 [Epub ahead of print].
The rapid growth of metagenomic sequencing has generated an unprecedented wealth of metagenome-assembled genomes (MAGs), transforming opportunities for microbial discovery and functional characterization. Yet, full utilization of these resources has been constrained by heterogeneous data generation practices and inconsistent analytical pipelines. The gcMeta database addresses this gap by compiling MAGs through both public acquisition and de novo assembly. This release integrates over 2.7 million MAGs from 104 266 samples spanning various biomes, covering human, animal, plant, marine, freshwater, and extreme environments. It establishes 50 biome-specific MAG catalogues comprising 109 586 species-level clusters, of which 63% (69 248) represents previously uncharacterized taxa, and annotates >74.9 million novel genes. By linking functional traits with microbial co-occurrence networks, gcMeta identifies keystone taxa central to biogeochemical cycling and environmental adaptation. The platform further supports cross-ecosystem functional comparisons, revealing niche-specific metabolic pathways and stress-response genes. Moreover, gcMeta provides standardized, AI-ready datasets encompassing microbial enzymes, anti-phage defense systems, and other functional modules, enabling advanced machine learning applications. By bridging microbial "sequence discovery" with "functional utilization," gcMeta establishes a foundation for ecological research, industrial biotechnology, and novel gene mining. The platform is freely accessible at https://gcmeta.wdcm.org/.
Additional Links: PMID-41171134
Publisher:
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41171134,
            year = {2025},
            author = {Sun, Y and Chen, Q and Fan, G and Sun, Q and Zhou, Q and Zhang, J and Nie, J and Ma, J and Wu, L},
            title = {gcMeta 2025: a global repository of metagenome-assembled genomes enabling cross-ecosystem microbial discovery and function research.},
            journal = {Nucleic acids research},
            volume = {},
            number = {},
            pages = {},
            doi = {10.1093/nar/gkaf1115},
            pmid = {41171134},
            issn = {1362-4962},
            support = {2021YFA0717001//National Key R&D Program of China/ ; XDB0830000//Chinese Academy of Sciences/ ; 153211KYSB201900211//Chinese Academy of Science/ ; //Chinese Academy of Sciences/ ; },
            abstract = {The rapid growth of metagenomic sequencing has generated an unprecedented wealth of metagenome-assembled genomes (MAGs), transforming opportunities for microbial discovery and functional characterization. Yet, full utilization of these resources has been constrained by heterogeneous data generation practices and inconsistent analytical pipelines. The gcMeta database addresses this gap by compiling MAGs through both public acquisition and de novo assembly. This release integrates over 2.7 million MAGs from 104 266 samples spanning various biomes, covering human, animal, plant, marine, freshwater, and extreme environments. It establishes 50 biome-specific MAG catalogues comprising 109 586 species-level clusters, of which 63% (69 248) represents previously uncharacterized taxa, and annotates >74.9 million novel genes. By linking functional traits with microbial co-occurrence networks, gcMeta identifies keystone taxa central to biogeochemical cycling and environmental adaptation. The platform further supports cross-ecosystem functional comparisons, revealing niche-specific metabolic pathways and stress-response genes. Moreover, gcMeta provides standardized, AI-ready datasets encompassing microbial enzymes, anti-phage defense systems, and other functional modules, enabling advanced machine learning applications. By bridging microbial "sequence discovery" with "functional utilization," gcMeta establishes a foundation for ecological research, industrial biotechnology, and novel gene mining. The platform is freely accessible at https://gcmeta.wdcm.org/.},
            }
          
RevDate: 2025-10-31
DOO: integrated multi-omics resources for deep ocean organisms.
Nucleic acids research pii:8307365 [Epub ahead of print].
The deep ocean is one of Earth's most vast and least explored frontiers, characterized by extreme conditions such as high pressure, limited light, and nutrient scarcity. These environments pose unparalleled challenges to life, making them invaluable for studying genetic and molecular adaptations to extreme conditions. Emerging omics resources have recently provided significant insights into the advanced understanding of deep ocean ecosystems and evolution. However, a centralized resource for deep ocean multi-omics data remains lacking. To bridge this gap, the Deep Ocean Omics (DOO, https://DeepOceanOmics.org) database, a multi-omics atlas for deep ocean organisms, is presented. DOO integrates diverse omics resources from 68 species across seven phyla and 16 classes, encompassing 72 genomes, 950 bulk transcriptomes, 15 single-cell transcriptomes, and 1112 metagenomes, alongside functional support toolkits for functional and comparative analysis. DOO provides a systematic view of genomic information, including genome assembly, phylogeny, gene annotation, BUSCO genes, transcription factors/ubiquitin family, gene clusters, symbiont and mitochondrial genomes, and fossil records. Moreover, DOO offers co-expression networks with expression views across different tissues, and developmental stages and micro- and macrosynteny analyses to elucidate the pan-evolutionary features of genome structure. As the first comprehensive multi-omics resource dedicated to deep ocean organisms, DOO serves as a pivotal platform for uncovering multi-omics underpinnings of deep ocean organisms and offering insights into the understanding of deep ocean biodiversity, evolution, and genetic adaptation under extreme conditions.
Additional Links: PMID-41171126
Publisher:
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41171126,
            year = {2025},
            author = {She, J and Qian, PY and Wu, L},
            title = {DOO: integrated multi-omics resources for deep ocean organisms.},
            journal = {Nucleic acids research},
            volume = {},
            number = {},
            pages = {},
            doi = {10.1093/nar/gkaf1096},
            pmid = {41171126},
            issn = {1362-4962},
            support = {2021HJ01//Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)/ ; HJRC2022001//Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)/ ; SMSEGL24SC01//Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)/ ; CCRS25SC01//Otto Poon Center for Climate Resilience and Sustainability/ ; 26104824//Early Career Scheme/ ; JCYJ20220530151207016//Technology Innovation Committee of Shenzhen/ ; 26104824//Technology Innovation Committee of Shenzhen/ ; },
            abstract = {The deep ocean is one of Earth's most vast and least explored frontiers, characterized by extreme conditions such as high pressure, limited light, and nutrient scarcity. These environments pose unparalleled challenges to life, making them invaluable for studying genetic and molecular adaptations to extreme conditions. Emerging omics resources have recently provided significant insights into the advanced understanding of deep ocean ecosystems and evolution. However, a centralized resource for deep ocean multi-omics data remains lacking. To bridge this gap, the Deep Ocean Omics (DOO, https://DeepOceanOmics.org) database, a multi-omics atlas for deep ocean organisms, is presented. DOO integrates diverse omics resources from 68 species across seven phyla and 16 classes, encompassing 72 genomes, 950 bulk transcriptomes, 15 single-cell transcriptomes, and 1112 metagenomes, alongside functional support toolkits for functional and comparative analysis. DOO provides a systematic view of genomic information, including genome assembly, phylogeny, gene annotation, BUSCO genes, transcription factors/ubiquitin family, gene clusters, symbiont and mitochondrial genomes, and fossil records. Moreover, DOO offers co-expression networks with expression views across different tissues, and developmental stages and micro- and macrosynteny analyses to elucidate the pan-evolutionary features of genome structure. As the first comprehensive multi-omics resource dedicated to deep ocean organisms, DOO serves as a pivotal platform for uncovering multi-omics underpinnings of deep ocean organisms and offering insights into the understanding of deep ocean biodiversity, evolution, and genetic adaptation under extreme conditions.},
            }
          
RevDate: 2025-10-31
Metalog: curated and harmonised contextual data for global metagenomics samples.
Nucleic acids research pii:8307355 [Epub ahead of print].
Metagenomic sequencing enables the in-depth study of microbes and their functions in humans, animals, and the environment. While sequencing data is deposited in public databases, the associated contextual data is often not complete and needs to be retrieved from primary publications. This lack of access to sample-level metadata like clinical data or in situ observations impedes cross-study comparisons and meta-analyses. We therefore created the Metalog database, a repository of manually curated metadata for metagenomics samples across the globe. It contains 80 423 samples from humans (including 66 527 of the gut microbiome), 10 744 animal samples, 5547 ocean water samples, and 23 455 samples from other environmental habitats such as soil, sediment, or fresh water. Samples have been consistently annotated for a set of habitat-specific core features, such as demographics, disease status, and medication for humans; host species and captivity status for animals; and filter sizes and salinity for marine samples. Additionally, all original metadata is provided in tabular form, simplifying focused studies e.g. into nutrient concentrations. Pre-computed taxonomic profiles facilitate rapid data exploration, while links to the SPIRE database enable genome-based analyses. The database is freely available for browsing and download at https://metalog.embl.de/.
Additional Links: PMID-41171125
Publisher:
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41171125,
            year = {2025},
            author = {Kuhn, M and Schmidt, TSB and Ferretti, P and Głazek, A and Robbani, SM and Akanni, W and Fullam, A and Schudoma, C and Cetin, E and Hassan, M and Noack, K and Schwarz, A and Thielemann, R and Thomas, L and von Stetten, M and Alves, R and Iyappan, A and Kartal, E and Kel, I and Keller, MI and Maistrenko, O and Mankowski, A and Nishijima, S and Podlesny, D and Schiller, J and Schulz, S and Van Rossum, T and Bork, P},
            title = {Metalog: curated and harmonised contextual data for global metagenomics samples.},
            journal = {Nucleic acids research},
            volume = {},
            number = {},
            pages = {},
            doi = {10.1093/nar/gkaf1118},
            pmid = {41171125},
            issn = {1362-4962},
            support = {668031//Horizon 2020/ ; ERC-AdG-669830/ERC_/European Research Council/International ; 101059915//European Union's Horizon Europe research and innovation programme/ ; NNF15OC0016692//MicrobLiver/ ; //Novo Nordisk Foundation/ ; //Deutsche Forschungsgemeinschaft/ ; 460129525//German Research Foundation/ ; //Ministry of Science/ ; //MWK/ ; //German Federal Ministry of Research, Technology and Space/ ; //European Molecular Biology Laboratory/ ; },
            abstract = {Metagenomic sequencing enables the in-depth study of microbes and their functions in humans, animals, and the environment. While sequencing data is deposited in public databases, the associated contextual data is often not complete and needs to be retrieved from primary publications. This lack of access to sample-level metadata like clinical data or in situ observations impedes cross-study comparisons and meta-analyses. We therefore created the Metalog database, a repository of manually curated metadata for metagenomics samples across the globe. It contains 80 423 samples from humans (including 66 527 of the gut microbiome), 10 744 animal samples, 5547 ocean water samples, and 23 455 samples from other environmental habitats such as soil, sediment, or fresh water. Samples have been consistently annotated for a set of habitat-specific core features, such as demographics, disease status, and medication for humans; host species and captivity status for animals; and filter sizes and salinity for marine samples. Additionally, all original metadata is provided in tabular form, simplifying focused studies e.g. into nutrient concentrations. Pre-computed taxonomic profiles facilitate rapid data exploration, while links to the SPIRE database enable genome-based analyses. The database is freely available for browsing and download at https://metalog.embl.de/.},
            }
          
RevDate: 2025-10-31
Ocean-M: an integrated global-scale multi-omics database for marine microbial diversity, function and ecological interactions.
Nucleic acids research pii:8307366 [Epub ahead of print].
Multi-omics analyses have significantly advanced the understanding of complex marine microbial communities and their interactions. Despite notable progress from recent large-scale ocean meta-analysis efforts, the effective integration and accessibility of these diverse datasets remain challenging. To address this, we introduce Ocean-M (http://om.qnlm.ac), a comprehensive and publicly accessible platform for marine microbial multi-omics data integration, analysis, and visualization. Ocean-M provides a systematic view of 54 083 high-quality metagenome-assembled genomes, including genome assembly statistics, genome clustering, gene annotation, and interactive tools for global-scale taxonomic profiling. The platform also incorporates microbial community networks, host-microbiome interactions, and environmental DNA datasets to support an integrated ecological framework for studying microbial interactions and ecosystem functions. Additionally, Ocean-M enables large-scale mining of ecologically and biotechnologically important genes, with curated catalogs of 151 798 biosynthetic gene clusters, 52 699 antibiotic resistance genes, and millions of carbohydrate-active enzymes and plastic-active enzymes. By combining multi-omics data with environmental metadata, Ocean-M serves as a valuable resource for advancing marine microbial ecology, global biogeography, and functional gene discovery.
Additional Links: PMID-41171124
Publisher:
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41171124,
            year = {2025},
            author = {Lv, J and Ma, S and Ma, C and Liu, F and Duan, X and Huang, X and Geng, Q and Liu, F and Li, G and Li, Y and Wang, J and Li, C and Zheng, H and Zhang, Y and Sun, Z and Wang, J and Fan, G and Huang, S and Zhang, L and Bao, Z and Wang, S},
            title = {Ocean-M: an integrated global-scale multi-omics database for marine microbial diversity, function and ecological interactions.},
            journal = {Nucleic acids research},
            volume = {},
            number = {},
            pages = {},
            doi = {10.1093/nar/gkaf1098},
            pmid = {41171124},
            issn = {1362-4962},
            support = {2024YFC2816000//National Key Research and Development Program of China/ ; LSKJ202202804//Marine S&T Fund of Shandong Province for Laoshan Laboratory/ ; 2025B1111180001//Guangdong Provincial Key Areas R&D Program Project/ ; SOLZSKY2025013//Hainan Province Science and Technology Special Fund/ ; 32573498//Natural Science Foundation of China/ ; 32222085//Natural Science Foundation of China/ ; QDLYY-2024011//Blue Seed Industry Science and Technology Innovation Project/ ; GZB20250215//Postdoctoral Fellowship Program of CPSF/ ; },
            abstract = {Multi-omics analyses have significantly advanced the understanding of complex marine microbial communities and their interactions. Despite notable progress from recent large-scale ocean meta-analysis efforts, the effective integration and accessibility of these diverse datasets remain challenging. To address this, we introduce Ocean-M (http://om.qnlm.ac), a comprehensive and publicly accessible platform for marine microbial multi-omics data integration, analysis, and visualization. Ocean-M provides a systematic view of 54 083 high-quality metagenome-assembled genomes, including genome assembly statistics, genome clustering, gene annotation, and interactive tools for global-scale taxonomic profiling. The platform also incorporates microbial community networks, host-microbiome interactions, and environmental DNA datasets to support an integrated ecological framework for studying microbial interactions and ecosystem functions. Additionally, Ocean-M enables large-scale mining of ecologically and biotechnologically important genes, with curated catalogs of 151 798 biosynthetic gene clusters, 52 699 antibiotic resistance genes, and millions of carbohydrate-active enzymes and plastic-active enzymes. By combining multi-omics data with environmental metadata, Ocean-M serves as a valuable resource for advancing marine microbial ecology, global biogeography, and functional gene discovery.},
            }
          
RevDate: 2025-10-31
Coding-complete genome sequences of group B equine rotavirus from central Kentucky, USA, reveal circulation of a single genome constellation.
Microbiology resource announcements [Epub ahead of print].
Equine rotavirus B (ERVB) has caused foal diarrhea in central Kentucky since 2021. Coding-complete genome sequences from 14 strains circulating in 2024 revealed >99% nucleotide identity to the 2021 prototype ERVB strain RVB/Horse-wt/USA/KY1518/2021, with a conserved genomic constellation (G3-P[3]-I3-R3-C3-M3-A4-N3-T3-E3-H3).
Additional Links: PMID-41170985
Publisher:
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41170985,
            year = {2025},
            author = {Gamage, C and Graves, A and Li, G and Thieulent, CJ and Balasuriya, UBR and Morrow, J and Vissani, A and Parreño, V and Matthijnssens, J and Carossino, M},
            title = {Coding-complete genome sequences of group B equine rotavirus from central Kentucky, USA, reveal circulation of a single genome constellation.},
            journal = {Microbiology resource announcements},
            volume = {},
            number = {},
            pages = {e0074425},
            doi = {10.1128/mra.00744-25},
            pmid = {41170985},
            issn = {2576-098X},
            abstract = {Equine rotavirus B (ERVB) has caused foal diarrhea in central Kentucky since 2021. Coding-complete genome sequences from 14 strains circulating in 2024 revealed >99% nucleotide identity to the 2021 prototype ERVB strain RVB/Horse-wt/USA/KY1518/2021, with a conserved genomic constellation (G3-P[3]-I3-R3-C3-M3-A4-N3-T3-E3-H3).},
            }
          
            RevDate: 2025-10-31
CmpDate: 2025-10-31
          
Infected left atrial myxoma with Streptococcus gordonii: case report and literature review.
Frontiers in oncology, 15:1635642.
Cardiac myxoma is a relatively common type of benign heart tumor, but infectious myxoma is rare. The symptoms of non-infected cardiac myxoma and infected cardiac myxoma are similar and mostly nonspecific, which can easily lead to delayed diagnosis, missed diagnosis, and delayed treatment. A 57-year-old male patient presented with nonspecific systemic symptoms such as anorexia, fever, and cough, and was initially considered to have gastrointestinal disease or pulmonary infection. Preoperative bacterial culture was negative, and imaging features were consistent with cardiac myxoma. A small amount of vegetation was found attached to the surface of the tumor. Postoperative blood culture, surgical specimen culture, and postoperative blood metagenomic next-generation sequencing (mNGS) examination all showed positive results for Streptococcus gordonii, confirming the diagnosis of infectious left atrial myxoma. For patients with febrile cardiac myxoma, it is crucial to be vigilant against concurrent infections. Blood cultures should be performed before administering antibiotics. In cases where blood cultures are negative, a combination of mNGS, PCR, and transesophageal echocardiography (TEE) should be utilized for differential diagnosis, with particular attention paid to the characteristics of vegetations on the tumor surface.
Additional Links: PMID-41170455
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41170455,
            year = {2025},
            author = {Ruan, L and Chen, S and Zhang, J and Peng, G},
            title = {Infected left atrial myxoma with Streptococcus gordonii: case report and literature review.},
            journal = {Frontiers in oncology},
            volume = {15},
            number = {},
            pages = {1635642},
            pmid = {41170455},
            issn = {2234-943X},
            abstract = {Cardiac myxoma is a relatively common type of benign heart tumor, but infectious myxoma is rare. The symptoms of non-infected cardiac myxoma and infected cardiac myxoma are similar and mostly nonspecific, which can easily lead to delayed diagnosis, missed diagnosis, and delayed treatment. A 57-year-old male patient presented with nonspecific systemic symptoms such as anorexia, fever, and cough, and was initially considered to have gastrointestinal disease or pulmonary infection. Preoperative bacterial culture was negative, and imaging features were consistent with cardiac myxoma. A small amount of vegetation was found attached to the surface of the tumor. Postoperative blood culture, surgical specimen culture, and postoperative blood metagenomic next-generation sequencing (mNGS) examination all showed positive results for Streptococcus gordonii, confirming the diagnosis of infectious left atrial myxoma. For patients with febrile cardiac myxoma, it is crucial to be vigilant against concurrent infections. Blood cultures should be performed before administering antibiotics. In cases where blood cultures are negative, a combination of mNGS, PCR, and transesophageal echocardiography (TEE) should be utilized for differential diagnosis, with particular attention paid to the characteristics of vegetations on the tumor surface.},
            }
          
            RevDate: 2025-10-31
CmpDate: 2025-10-31
          
The arms race in bacteria-phage interaction: deciphering bacteria defense and phage anti-defense mechanisms through metagenomics.
Frontiers in microbiology, 16:1687307.
Bacteriophages are viruses that specifically infect bacteria and co-evolve with their hosts through mutual interactions. They represent one of the most significant drivers of microbial diversity, influencing its evolution, generation, and maintenance. To counter bacteriophage infection, bacteria have developed sophisticated immune systems, including both passive adaptations, such as inhibiting phage adsorption and preventing DNA entry, and active defense systems such as restriction-modification systems and CRISPR-Cas systems. The ongoing arms race between bacteriophages and bacteria has left distinct evolutionary signatures in their genomic sequences. Advances in large-scale genomic and metagenomic sequencing technologies, coupled with bioinformatics approaches, have greatly enhanced our understanding of bacteria-phage interaction mechanisms, driving progress in bacteriophage biology. This review systematically analyses the diverse immune strategies bacteria employ against phage infection, elucidates the coordination and interrelationships among different anti-phage mechanisms, and highlights potential directions for future research.
Additional Links: PMID-41170433
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41170433,
            year = {2025},
            author = {Zhang, S and Chu, M and Sun, X},
            title = {The arms race in bacteria-phage interaction: deciphering bacteria defense and phage anti-defense mechanisms through metagenomics.},
            journal = {Frontiers in microbiology},
            volume = {16},
            number = {},
            pages = {1687307},
            pmid = {41170433},
            issn = {1664-302X},
            abstract = {Bacteriophages are viruses that specifically infect bacteria and co-evolve with their hosts through mutual interactions. They represent one of the most significant drivers of microbial diversity, influencing its evolution, generation, and maintenance. To counter bacteriophage infection, bacteria have developed sophisticated immune systems, including both passive adaptations, such as inhibiting phage adsorption and preventing DNA entry, and active defense systems such as restriction-modification systems and CRISPR-Cas systems. The ongoing arms race between bacteriophages and bacteria has left distinct evolutionary signatures in their genomic sequences. Advances in large-scale genomic and metagenomic sequencing technologies, coupled with bioinformatics approaches, have greatly enhanced our understanding of bacteria-phage interaction mechanisms, driving progress in bacteriophage biology. This review systematically analyses the diverse immune strategies bacteria employ against phage infection, elucidates the coordination and interrelationships among different anti-phage mechanisms, and highlights potential directions for future research.},
            }
          
            RevDate: 2025-10-31
CmpDate: 2025-10-31
          
Gut microbiota heterogeneity in non-alcoholic fatty liver disease: a narrative review of drivers, mechanisms, and clinical relevance.
Frontiers in microbiology, 16:1645298.
Non-alcoholic fatty liver disease (NAFLD), a prevalent metabolic disorder, is increasingly recognized as a complex condition influenced by gut microbiota dysbiosis. However, the heterogeneity in findings across studies has hindered the clinical translation of microbiota-based interventions. In this narrative review, we synthesize current evidence on gut microbial alterations in patients with NAFLD, with a focus on the sources of variability that contribute to inconsistent results. We included human studies (2000-2024) that compared gut microbiota profiles between NAFLD patients and healthy controls using 16S rRNA or metagenomic sequencing; key drivers of microbial changes include clinical factors (metabolic comorbidities, disease progression), biological variables (diet, genetics), and methodological biases (sequencing platform differences, diagnostic criteria variability). Emerging evidence highlights the role of non-bacterial components (fungi, viruses) in modulating bacterial communities and disrupting host metabolic pathways, exacerbating hepatic inflammation and lipid accumulation. To overcome current limitations, we propose integrating multi-omics approaches (metagenomics, metabolomics, and proteomics) with a longitudinal study design to capture dynamic microbiota-host interactions. Precision microbiota therapies, including strain-specific probiotics, engineered microbial consortia, and fecal microbiota transplantation tailored to individual dysbiosis profiles, are emerging as promising strategies for targeted interventions. Addressing these challenges is essential to identifying reliable microbial biomarkers and developing personalized strategies for NAFLD prevention and treatment. Future research should harmonize methodologies, validate causal mechanisms, and optimize microbiota-based therapies to bridge experimental findings and clinical application.
Additional Links: PMID-41170420
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41170420,
            year = {2025},
            author = {Guo, Y and Zhang, N and Pei, D},
            title = {Gut microbiota heterogeneity in non-alcoholic fatty liver disease: a narrative review of drivers, mechanisms, and clinical relevance.},
            journal = {Frontiers in microbiology},
            volume = {16},
            number = {},
            pages = {1645298},
            pmid = {41170420},
            issn = {1664-302X},
            abstract = {Non-alcoholic fatty liver disease (NAFLD), a prevalent metabolic disorder, is increasingly recognized as a complex condition influenced by gut microbiota dysbiosis. However, the heterogeneity in findings across studies has hindered the clinical translation of microbiota-based interventions. In this narrative review, we synthesize current evidence on gut microbial alterations in patients with NAFLD, with a focus on the sources of variability that contribute to inconsistent results. We included human studies (2000-2024) that compared gut microbiota profiles between NAFLD patients and healthy controls using 16S rRNA or metagenomic sequencing; key drivers of microbial changes include clinical factors (metabolic comorbidities, disease progression), biological variables (diet, genetics), and methodological biases (sequencing platform differences, diagnostic criteria variability). Emerging evidence highlights the role of non-bacterial components (fungi, viruses) in modulating bacterial communities and disrupting host metabolic pathways, exacerbating hepatic inflammation and lipid accumulation. To overcome current limitations, we propose integrating multi-omics approaches (metagenomics, metabolomics, and proteomics) with a longitudinal study design to capture dynamic microbiota-host interactions. Precision microbiota therapies, including strain-specific probiotics, engineered microbial consortia, and fecal microbiota transplantation tailored to individual dysbiosis profiles, are emerging as promising strategies for targeted interventions. Addressing these challenges is essential to identifying reliable microbial biomarkers and developing personalized strategies for NAFLD prevention and treatment. Future research should harmonize methodologies, validate causal mechanisms, and optimize microbiota-based therapies to bridge experimental findings and clinical application.},
            }
          
            RevDate: 2025-10-31
CmpDate: 2025-10-31
          
High-throughput and Efficient Assay for Central Nervous System Infection with Targeted Nanopore Sequencing Technology.
Infection and drug resistance, 18:5461-5471.
            INTRODUCTION: Central nervous system (CNS) infections represent a significant global public health concern and are characterized by high morbidity and mortality rates. In this study, we developed an integrated diagnostic approach for CNS infections by combining high-throughput nanopore sequencing with multiplex PCR amplification, designated targeted nanopore sequencing (tNPS).
METHODS: The tNPS assay employed a dual detection strategy incorporating pathogen-specific primers targeting 17 prevalent CNS pathogens (seven bacteria, one fungus and nine DNA viruses), with universal primers for the comprehensive amplification of full-length 16S ribosomal RNA (16S rRNA) and internal transcribed spacer (ITS) regions.
RESULTS: Analytical validation of tNPS was successfully carried out using the 12 positive reference strains (seven bacteria, one fungus, and four DNA viruses) individually, the ZymoBIOMICS microbial community (eight bacteria and two fungi), the laboratory synthetic community of bacteria and fungi (seven bacteria and one fungus), and the laboratory synthetic community of viruses (five DNA viruses). With accelerated turnaround time within 8 h, the tNPS also assayed 11 clinical cerebrospinal fluid (CSF) samples, which further confirmed the feasibility of precise identification of CNS pathogens compared to CSF culture and metagenomic next-generation sequencing.
DISCUSSION: Our tNPS as a culture-independent diagnostic assay offered enhanced efficiency, high-throughput capability, and an expanded pathogen detection spectrum, facilitating potential implementation in molecular diagnosis of CNS infection.
          
Additional Links: PMID-41170165
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41170165,
            year = {2025},
            author = {Shi, Y and Lin, Z and Chen, Z and Ye, C and Yu, J and Xi, J and Geng, Y and Zou, M and Ren, H and Wang, L and Wang, B and Xu, F and Zheng, X and Xiang, G},
            title = {High-throughput and Efficient Assay for Central Nervous System Infection with Targeted Nanopore Sequencing Technology.},
            journal = {Infection and drug resistance},
            volume = {18},
            number = {},
            pages = {5461-5471},
            pmid = {41170165},
            issn = {1178-6973},
            abstract = {INTRODUCTION: Central nervous system (CNS) infections represent a significant global public health concern and are characterized by high morbidity and mortality rates. In this study, we developed an integrated diagnostic approach for CNS infections by combining high-throughput nanopore sequencing with multiplex PCR amplification, designated targeted nanopore sequencing (tNPS).
METHODS: The tNPS assay employed a dual detection strategy incorporating pathogen-specific primers targeting 17 prevalent CNS pathogens (seven bacteria, one fungus and nine DNA viruses), with universal primers for the comprehensive amplification of full-length 16S ribosomal RNA (16S rRNA) and internal transcribed spacer (ITS) regions.
RESULTS: Analytical validation of tNPS was successfully carried out using the 12 positive reference strains (seven bacteria, one fungus, and four DNA viruses) individually, the ZymoBIOMICS microbial community (eight bacteria and two fungi), the laboratory synthetic community of bacteria and fungi (seven bacteria and one fungus), and the laboratory synthetic community of viruses (five DNA viruses). With accelerated turnaround time within 8 h, the tNPS also assayed 11 clinical cerebrospinal fluid (CSF) samples, which further confirmed the feasibility of precise identification of CNS pathogens compared to CSF culture and metagenomic next-generation sequencing.
DISCUSSION: Our tNPS as a culture-independent diagnostic assay offered enhanced efficiency, high-throughput capability, and an expanded pathogen detection spectrum, facilitating potential implementation in molecular diagnosis of CNS infection.},
            }
          
            RevDate: 2025-10-31
CmpDate: 2025-10-31
          
Unveiling Common Bean (Phaseolus vulgaris L) RNA- and DNA-Based Virome in Western Kenya: Insights From Metatranscriptomic and Metagenomic Signatures.
Advances in virology, 2025:6690945.
Common bean (Phaseolus vulgaris L) is Kenya's second most important agricultural product after maize, serving as a vital source of protein for many rural families in Western Kenya. However, viral diseases caused by RNA and DNA viruses greatly impair bean productivity, often leading to yield losses of up to 100%, thus contributing to food insecurity. Global research has isolated 168 viruses of plants that have detrimental effects on common beans; however, no extensive profiling of these viruses has been done in Western Kenya. The scope of this study was to delineate the whole virome that infects common beans through a comprehensive disease diagnostic survey. Sixty-one diseased samples were collected, and nucleic acids were extracted using standard extraction protocols (DNA &RNA Qiagen) and sequenced on the Illumina platform. Metagenomic analysis revealed several DNA-based viruses, such as Badnavirus spp, Caulimovirus maculatractylodei, Pandanus badnavirus, Okra enation leaf curl virus, and Paper mulberry vein-banding virus, while metatranscriptomic analysis uncovered viruses like Tomato leaf curl Cameroon alphasatellite, Physalis Rugose Mosaic Virus, Citrus endogenous paretrovirus, Natevirus nate, and Bracoviriform facetosae. To the best of our knowledge, this study provides a comprehensive inventory of viral entities associated with common beans not documented in Africa. This information is essential for defining plant defense mechanisms, guiding crop protection strategies, lowering agriculture-related risks, strengthening resistance, and advancing resilience.
Additional Links: PMID-41169729
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41169729,
            year = {2025},
            author = {Osogo, AK and Muyekho, F and Were, H and Okoth, P},
            title = {Unveiling Common Bean (Phaseolus vulgaris L) RNA- and DNA-Based Virome in Western Kenya: Insights From Metatranscriptomic and Metagenomic Signatures.},
            journal = {Advances in virology},
            volume = {2025},
            number = {},
            pages = {6690945},
            pmid = {41169729},
            issn = {1687-8639},
            abstract = {Common bean (Phaseolus vulgaris L) is Kenya's second most important agricultural product after maize, serving as a vital source of protein for many rural families in Western Kenya. However, viral diseases caused by RNA and DNA viruses greatly impair bean productivity, often leading to yield losses of up to 100%, thus contributing to food insecurity. Global research has isolated 168 viruses of plants that have detrimental effects on common beans; however, no extensive profiling of these viruses has been done in Western Kenya. The scope of this study was to delineate the whole virome that infects common beans through a comprehensive disease diagnostic survey. Sixty-one diseased samples were collected, and nucleic acids were extracted using standard extraction protocols (DNA &RNA Qiagen) and sequenced on the Illumina platform. Metagenomic analysis revealed several DNA-based viruses, such as Badnavirus spp, Caulimovirus maculatractylodei, Pandanus badnavirus, Okra enation leaf curl virus, and Paper mulberry vein-banding virus, while metatranscriptomic analysis uncovered viruses like Tomato leaf curl Cameroon alphasatellite, Physalis Rugose Mosaic Virus, Citrus endogenous paretrovirus, Natevirus nate, and Bracoviriform facetosae. To the best of our knowledge, this study provides a comprehensive inventory of viral entities associated with common beans not documented in Africa. This information is essential for defining plant defense mechanisms, guiding crop protection strategies, lowering agriculture-related risks, strengthening resistance, and advancing resilience.},
            }
          
            RevDate: 2025-10-31
CmpDate: 2025-10-31
          
Growth of candidate phyla radiation bacteria in groundwater incubations reveals widespread adaptations to oxic conditions.
Microbiome, 13(1):224.
            BACKGROUND: The candidate phyla radiation (CPR) comprises a widespread but poorly understood group of bacteria with limited cultured representatives, largely due to their metabolic dependencies on microbial hosts. In laboratory incubations, CPR often decline sharply in relative abundance, even when samples originate from natural environments where they dominate, such as groundwater, where they can represent over 50% of the microbiome. Suitable enrichment conditions and host interactions remain poorly defined.
RESULTS: Here, we analyzed 16S rRNA gene amplicon data from 397 groundwater incubation samples across 31 treatments, including 22 under oxic conditions, to identify factors that promote CPR survival and growth. Despite an initial decline, CPR abundances recovered over longer incubation times, reaching up to 11-30% of the microbial community. In total, we detected 1410 CPR amplicon sequence variants (ASVs), spanning six major CPR classes commonly found in groundwater. Enrichment success was treatment-specific: Cand. Saccharimonadia dominated in incubations with polysaccharides (up to 31.4%), while Cand. Parcubacteria were enriched (> 23%) in treatments stimulating methylotrophs and autotrophs. ASV-specific growth rates based on quantitative PCR showed that some CPR doubled within 1-2 days, comparable to faster-growing non-CPR groundwater bacteria, while most CPR had doubling times around 15 days. Strikingly, although the relative abundance of many CPR ASVs showed positive correlation with anoxic conditions, overall CPR reached higher absolute abundances under oxic conditions than under anoxic conditions. Metabolic network analysis based on metagenome-assembled genomes revealed that up to 62% of annotated genes were associated with functions linked to oxic conditions. In fact, 25 CPR genomes encoded enzymes that directly utilize oxygen, challenging the long-standing view of CPR as strictly anaerobic, fermentative organisms.
CONCLUSIONS: Our findings demonstrate that diverse CPR lineages not only survive but actively grow in groundwater incubations, even under oxic conditions. The discovery of genes for oxygen-dependent reactions and substantial CPR enrichment in oxic treatments reveals unexpected metabolic flexibility, helping to explain their persistence and ecological success across a wide range of environments.
          
Additional Links: PMID-41168883
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41168883,
            year = {2025},
            author = {Gabashvili, E and Küsel, K and Pratama, AA and Wang, H and Taubert, M},
            title = {Growth of candidate phyla radiation bacteria in groundwater incubations reveals widespread adaptations to oxic conditions.},
            journal = {Microbiome},
            volume = {13},
            number = {1},
            pages = {224},
            pmid = {41168883},
            issn = {2049-2618},
            support = {390713860//Deutsche Forschungsgemeinschaft/ ; B 715-09075//Thüringer Ministerium für Wirtschaft, Wissenschaft und Digitale Gesellschaft/ ; 2016 FGI 0024 "BIODIV"//Thüringer Ministerium für Wirtschaft, Wissenschaft und Digitale Gesellschaft,Germany/ ; },
            mesh = {*Groundwater/microbiology ; RNA, Ribosomal, 16S/genetics ; *Bacteria/growth & development/genetics/classification/isolation & purification/metabolism ; *Microbiota/genetics ; Phylogeny ; DNA, Bacterial/genetics ; Adaptation, Physiological ; Sequence Analysis, DNA ; },
            abstract = {BACKGROUND: The candidate phyla radiation (CPR) comprises a widespread but poorly understood group of bacteria with limited cultured representatives, largely due to their metabolic dependencies on microbial hosts. In laboratory incubations, CPR often decline sharply in relative abundance, even when samples originate from natural environments where they dominate, such as groundwater, where they can represent over 50% of the microbiome. Suitable enrichment conditions and host interactions remain poorly defined.
RESULTS: Here, we analyzed 16S rRNA gene amplicon data from 397 groundwater incubation samples across 31 treatments, including 22 under oxic conditions, to identify factors that promote CPR survival and growth. Despite an initial decline, CPR abundances recovered over longer incubation times, reaching up to 11-30% of the microbial community. In total, we detected 1410 CPR amplicon sequence variants (ASVs), spanning six major CPR classes commonly found in groundwater. Enrichment success was treatment-specific: Cand. Saccharimonadia dominated in incubations with polysaccharides (up to 31.4%), while Cand. Parcubacteria were enriched (> 23%) in treatments stimulating methylotrophs and autotrophs. ASV-specific growth rates based on quantitative PCR showed that some CPR doubled within 1-2 days, comparable to faster-growing non-CPR groundwater bacteria, while most CPR had doubling times around 15 days. Strikingly, although the relative abundance of many CPR ASVs showed positive correlation with anoxic conditions, overall CPR reached higher absolute abundances under oxic conditions than under anoxic conditions. Metabolic network analysis based on metagenome-assembled genomes revealed that up to 62% of annotated genes were associated with functions linked to oxic conditions. In fact, 25 CPR genomes encoded enzymes that directly utilize oxygen, challenging the long-standing view of CPR as strictly anaerobic, fermentative organisms.
CONCLUSIONS: Our findings demonstrate that diverse CPR lineages not only survive but actively grow in groundwater incubations, even under oxic conditions. The discovery of genes for oxygen-dependent reactions and substantial CPR enrichment in oxic treatments reveals unexpected metabolic flexibility, helping to explain their persistence and ecological success across a wide range of environments.},
            }
          
MeSH Terms:
show MeSH Terms
hide MeSH Terms
*Groundwater/microbiology
RNA, Ribosomal, 16S/genetics
*Bacteria/growth & development/genetics/classification/isolation & purification/metabolism
*Microbiota/genetics
Phylogeny
DNA, Bacterial/genetics
Adaptation, Physiological
Sequence Analysis, DNA
          
            RevDate: 2025-10-31
CmpDate: 2025-10-31
          
Host species and geographic location shape microbial diversity and functional potential in the conifer needle microbiome.
Microbiome, 13(1):222.
            BACKGROUND: The aerial surface of plants, known as the phyllosphere, hosts a complex and dynamic microbiome that plays essential roles in plant health and environmental processes. While research has focused on root-associated microbiomes, the phyllosphere remains comparatively understudied, especially in forest ecosystems. Despite the global ecological dominance and importance of conifers, no previous study has applied shotgun metagenomics to their phyllosphere microbiomes.
RESULTS: This study uses metagenomic sequencing to explore the microbial phyllosphere communities of subalpine Western conifer needle surfaces from 67 trees at six sites spanning the Rocky Mountains, including 31 limber pine, 18 Douglas fir, and 18 Engelmann spruce. Sites span ~ 1,075 km and nearly 10° latitude, from Glacier National Park to Rocky Mountain Biological Laboratory, capturing broad environmental variation. Metagenomes were generated for each of the 67 samples, for which we produced individual assemblies, along with three large coassemblies specific to each conifer host. From these datasets, we reconstructed 447 metagenome-assembled genomes (MAGs), 417 of which are non-redundant at the species level. Beyond increasing the total number of extracted MAGs from 153 to 294, the three coassemblies yielded three large MAGs, representing partial sequences of host genomes. Phylogenomics of all microbial MAGs revealed communities predominantly composed of bacteria (n = 327) and fungi (n = 117). We show that both microbial community composition and metabolic potential differ significantly across host tree species and geographic sites, with site exerting a stronger influence than host.
CONCLUSIONS: This dataset offers new insights into the microbial communities inhabiting the conifer needle surface, laying the foundation for future research on needle microbiomes across temporal and spatial scales. Variation in functional capabilities, such as volatile organic compound (VOC) degradation and polysaccharide metabolism, closely tracks shifts in taxonomic composition, indicating that host-specific chemistry, local environmental factors, and regional microbial source pools jointly shape ecological roles. Moreover, the observed patterns of mobile genetic elements and horizontal gene transfer suggest that gene exchange predominantly occurs within microbial lineages, with occasional broader transfers dispersing key functional genes (e.g., those involved in polysaccharide metabolism), which may facilitate microbiome adaptation.
          
Additional Links: PMID-41168882
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41168882,
            year = {2025},
            author = {Bowers, RM and Bennett, S and Riley, R and Villada, JC and Da Silva, IR and Woyke, T and Frank, AC},
            title = {Host species and geographic location shape microbial diversity and functional potential in the conifer needle microbiome.},
            journal = {Microbiome},
            volume = {13},
            number = {1},
            pages = {222},
            pmid = {41168882},
            issn = {2049-2618},
            support = {10.46936/10.25585/60000936//U.S. Department of Energy/ ; DEB-1442348//Directorate for Biological Sciences/ ; },
            mesh = {*Microbiota/genetics ; *Bacteria/classification/genetics/isolation & purification ; Metagenomics/methods ; *Tracheophyta/microbiology ; Metagenome ; Phylogeny ; *Plant Leaves/microbiology ; Pinus/microbiology ; },
            abstract = {BACKGROUND: The aerial surface of plants, known as the phyllosphere, hosts a complex and dynamic microbiome that plays essential roles in plant health and environmental processes. While research has focused on root-associated microbiomes, the phyllosphere remains comparatively understudied, especially in forest ecosystems. Despite the global ecological dominance and importance of conifers, no previous study has applied shotgun metagenomics to their phyllosphere microbiomes.
RESULTS: This study uses metagenomic sequencing to explore the microbial phyllosphere communities of subalpine Western conifer needle surfaces from 67 trees at six sites spanning the Rocky Mountains, including 31 limber pine, 18 Douglas fir, and 18 Engelmann spruce. Sites span ~ 1,075 km and nearly 10° latitude, from Glacier National Park to Rocky Mountain Biological Laboratory, capturing broad environmental variation. Metagenomes were generated for each of the 67 samples, for which we produced individual assemblies, along with three large coassemblies specific to each conifer host. From these datasets, we reconstructed 447 metagenome-assembled genomes (MAGs), 417 of which are non-redundant at the species level. Beyond increasing the total number of extracted MAGs from 153 to 294, the three coassemblies yielded three large MAGs, representing partial sequences of host genomes. Phylogenomics of all microbial MAGs revealed communities predominantly composed of bacteria (n = 327) and fungi (n = 117). We show that both microbial community composition and metabolic potential differ significantly across host tree species and geographic sites, with site exerting a stronger influence than host.
CONCLUSIONS: This dataset offers new insights into the microbial communities inhabiting the conifer needle surface, laying the foundation for future research on needle microbiomes across temporal and spatial scales. Variation in functional capabilities, such as volatile organic compound (VOC) degradation and polysaccharide metabolism, closely tracks shifts in taxonomic composition, indicating that host-specific chemistry, local environmental factors, and regional microbial source pools jointly shape ecological roles. Moreover, the observed patterns of mobile genetic elements and horizontal gene transfer suggest that gene exchange predominantly occurs within microbial lineages, with occasional broader transfers dispersing key functional genes (e.g., those involved in polysaccharide metabolism), which may facilitate microbiome adaptation.},
            }
          
MeSH Terms:
show MeSH Terms
hide MeSH Terms
*Microbiota/genetics
*Bacteria/classification/genetics/isolation & purification
Metagenomics/methods
*Tracheophyta/microbiology
Metagenome
Phylogeny
*Plant Leaves/microbiology
Pinus/microbiology
          
            RevDate: 2025-10-31
CmpDate: 2025-10-31
          
An innovative strategy for overcoming ultra-high ammonia nitrogen inhibition on anaerobic methanogenesis via stepwise domestication.
Microbiome, 13(1):223.
            BACKGROUND: The world is facing both an increasingly severe energy crisis and a growing problem of agricultural pollution. The utilization of agricultural waste by anaerobic digestion (AD), has received increasing attention. AD using representative waste cow dung results in total ammonia nitrogen (TAN) accumulation and inhibition of methanogens resulting in reduced CH4 production. However, there is a lack of highly efficient in-situ biological domestication strategies to enhance the TAN tolerance of methanogens in AD systems.
RESULTS: In this study, an incremental approach to gradually increasing the TAN concentration has been used for overcoming the problem. The results showed that at an ultra-high concentration of 6124.09 mg/L TAN, a 48-day domesticated AD system functioned stably and the cumulative CH4 production reached 72.81 mL/g volatile solids, whereas the undomesticated AD system failed to produce CH4. After domestication, the lactate dehydrogenase concentration decreased to 96.44 ng/L and the adenosine triphosphate concentration increased to 48.77 nmol/L, confirming that microbial activity improved. Hydrolytic and acidogenic bacteria were enriched, with Methanosarcina (79.73%) dominating the domesticated AD system, primarily Methanosarcina mazei. Metagenomic analysis showed that with two-component system enrichment, the key inhibited steps from glycerate-1,3P2 to pyruvate (2.498‰), and from acetyl-CoA and acetyl phosphate to acetic acid (1.141‰ and 0.798‰), as well as vital methanogenic genes mcrA (0.128‰), mcrB (0.127‰), and mcrG (0.065‰), were both enriched, which favored a stable methanogenic system. More importantly, this ultra-high resistance AD system also showed the potential to increase the CH4 production per unit substrate at the Minhe biogas plant with 24,000 m[3] operation scale in Shandong Province, China.
CONCLUSIONS: Stepwise increase the TAN concentration is a novel method that was demonstrated to be a practical and sustainable way to overcome ultra-high TAN inhibition (6124.09 mg/L). During domestication, the two-component system may regulate the microbial collaborative network to ensure microbial activity and high abundance enrichment, thus potentially constructing a methanogenic system dominated by hydrogenotrophic and acetoclastic methanogenesis, holding a promising application prospect. This study helped recognize the potential of methanogens in tolerating ultra-high inhibition and developed an achievable AD technology for robustly treating fecal residue and wastewater in practice.
          
Additional Links: PMID-41168776
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41168776,
            year = {2025},
            author = {Heng Wu,  and Dong, T and Li, A and Chen, J and Zhang, H and Lv, H and Yang, C and Guo, X and Yang, X and Qiu, L and Miao, C and Yao, Y},
            title = {An innovative strategy for overcoming ultra-high ammonia nitrogen inhibition on anaerobic methanogenesis via stepwise domestication.},
            journal = {Microbiome},
            volume = {13},
            number = {1},
            pages = {223},
            pmid = {41168776},
            issn = {2049-2618},
            mesh = {*Methane/biosynthesis/metabolism ; Anaerobiosis ; *Ammonia/metabolism ; Animals ; Cattle ; Methanosarcina/metabolism/genetics ; *Nitrogen/metabolism ; Bioreactors/microbiology ; Bacteria/metabolism/classification/genetics ; Manure/microbiology ; Domestication ; Metagenomics/methods ; },
            abstract = {BACKGROUND: The world is facing both an increasingly severe energy crisis and a growing problem of agricultural pollution. The utilization of agricultural waste by anaerobic digestion (AD), has received increasing attention. AD using representative waste cow dung results in total ammonia nitrogen (TAN) accumulation and inhibition of methanogens resulting in reduced CH4 production. However, there is a lack of highly efficient in-situ biological domestication strategies to enhance the TAN tolerance of methanogens in AD systems.
RESULTS: In this study, an incremental approach to gradually increasing the TAN concentration has been used for overcoming the problem. The results showed that at an ultra-high concentration of 6124.09 mg/L TAN, a 48-day domesticated AD system functioned stably and the cumulative CH4 production reached 72.81 mL/g volatile solids, whereas the undomesticated AD system failed to produce CH4. After domestication, the lactate dehydrogenase concentration decreased to 96.44 ng/L and the adenosine triphosphate concentration increased to 48.77 nmol/L, confirming that microbial activity improved. Hydrolytic and acidogenic bacteria were enriched, with Methanosarcina (79.73%) dominating the domesticated AD system, primarily Methanosarcina mazei. Metagenomic analysis showed that with two-component system enrichment, the key inhibited steps from glycerate-1,3P2 to pyruvate (2.498‰), and from acetyl-CoA and acetyl phosphate to acetic acid (1.141‰ and 0.798‰), as well as vital methanogenic genes mcrA (0.128‰), mcrB (0.127‰), and mcrG (0.065‰), were both enriched, which favored a stable methanogenic system. More importantly, this ultra-high resistance AD system also showed the potential to increase the CH4 production per unit substrate at the Minhe biogas plant with 24,000 m[3] operation scale in Shandong Province, China.
CONCLUSIONS: Stepwise increase the TAN concentration is a novel method that was demonstrated to be a practical and sustainable way to overcome ultra-high TAN inhibition (6124.09 mg/L). During domestication, the two-component system may regulate the microbial collaborative network to ensure microbial activity and high abundance enrichment, thus potentially constructing a methanogenic system dominated by hydrogenotrophic and acetoclastic methanogenesis, holding a promising application prospect. This study helped recognize the potential of methanogens in tolerating ultra-high inhibition and developed an achievable AD technology for robustly treating fecal residue and wastewater in practice.},
            }
          
MeSH Terms:
show MeSH Terms
hide MeSH Terms
*Methane/biosynthesis/metabolism
Anaerobiosis
*Ammonia/metabolism
Animals
Cattle
Methanosarcina/metabolism/genetics
*Nitrogen/metabolism
Bioreactors/microbiology
Bacteria/metabolism/classification/genetics
Manure/microbiology
Domestication
Metagenomics/methods
          
            RevDate: 2025-10-31
CmpDate: 2025-10-31
          
Prediction accuracy for feed intake and body weight gain using host genomic and rumen metagenomic data in beef cattle.
Genetics, selection, evolution : GSE, 57(1):64.
            BACKGROUND: Host genomic and rumen metagenome data can predict feed efficiency traits, supporting management decisions and increasing profitability. This study estimated the proportion of variation of average daily dry matter intake and average daily gain explained by the rumen metagenome in beef cattle, evaluated prediction accuracy using genomic data, metagenomic data, or their combination, and explored methods for modelling the rumen metagenome to improve phenotypic prediction accuracy. Data from 717 animals on four diets (two concentrate-based and two forage-based) were analyzed. Animal genotypes consisted of 749,922 imputed sequence variants, while metagenomic data comprised 16,583 open reading frames from ruminal microbiota. The metagenome was modelled using six (co)variance matrices, based on combinations of two creation methods and three modifications. Nineteen mixed linear models were used per trait: one with genomic effects only, six with metagenomic effects, six combining genomic and metagenomic effects, and six adding interaction effects. Two cross-validation schemes were applied to evaluate prediction accuracy: fourfold cross-validation balanced for diet type with 5 replicates and leave-one-diet-out cross-validation, where three diets served as training and the fourth as testing. Prediction accuracy was measured as the correlation between an animal's summed random effects and its adjusted phenotype.
RESULTS: Although minimal, differences existed in parameter estimates and validation accuracy depending on how the metagenome effect was modelled. Median phenotype prediction accuracy ranged from -0.01 to 0.28. No specific set of model characteristics consistently lead to the highest accuracies. Models which combined genome and metagenome data outperformed those using either data source alone. Models where the rumen metagenome (co)variances matrix was scaled within each diet composition generally led to lower prediction accuracies in this study.
CONCLUSIONS: The rumen metagenome can explain a significant proportion of variation in beef cattle feed efficiency traits. Those traits can also be predicted using either host genome or rumen metagenome, though using both sources of information proved more accurate. Multiple methods of forming the metagenome (co)variance matrix can lead to similar prediction accuracies.
          
Additional Links: PMID-41168702
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41168702,
            year = {2025},
            author = {Lakamp, A and Adams, S and Kuehn, L and Snelling, W and Wells, J and Hales, K and Neville, B and Fernando, S and Spangler, ML},
            title = {Prediction accuracy for feed intake and body weight gain using host genomic and rumen metagenomic data in beef cattle.},
            journal = {Genetics, selection, evolution : GSE},
            volume = {57},
            number = {1},
            pages = {64},
            pmid = {41168702},
            issn = {1297-9686},
            support = {2022-33522-38219//National Institute of Food and Agriculture/ ; 2023-68015-40015//National Institute of Food and Agriculture/ ; 2024-33522-43699//National Institute of Food and Agriculture/ ; 2018-67015-27496//National Institute of Food and Agriculture/ ; },
            mesh = {Animals ; Cattle/genetics/physiology ; *Rumen/microbiology ; *Metagenome ; *Weight Gain/genetics ; *Eating/genetics ; Metagenomics/methods ; Animal Feed ; Phenotype ; Genomics/methods ; Diet/veterinary ; Gastrointestinal Microbiome ; },
            abstract = {BACKGROUND: Host genomic and rumen metagenome data can predict feed efficiency traits, supporting management decisions and increasing profitability. This study estimated the proportion of variation of average daily dry matter intake and average daily gain explained by the rumen metagenome in beef cattle, evaluated prediction accuracy using genomic data, metagenomic data, or their combination, and explored methods for modelling the rumen metagenome to improve phenotypic prediction accuracy. Data from 717 animals on four diets (two concentrate-based and two forage-based) were analyzed. Animal genotypes consisted of 749,922 imputed sequence variants, while metagenomic data comprised 16,583 open reading frames from ruminal microbiota. The metagenome was modelled using six (co)variance matrices, based on combinations of two creation methods and three modifications. Nineteen mixed linear models were used per trait: one with genomic effects only, six with metagenomic effects, six combining genomic and metagenomic effects, and six adding interaction effects. Two cross-validation schemes were applied to evaluate prediction accuracy: fourfold cross-validation balanced for diet type with 5 replicates and leave-one-diet-out cross-validation, where three diets served as training and the fourth as testing. Prediction accuracy was measured as the correlation between an animal's summed random effects and its adjusted phenotype.
RESULTS: Although minimal, differences existed in parameter estimates and validation accuracy depending on how the metagenome effect was modelled. Median phenotype prediction accuracy ranged from -0.01 to 0.28. No specific set of model characteristics consistently lead to the highest accuracies. Models which combined genome and metagenome data outperformed those using either data source alone. Models where the rumen metagenome (co)variances matrix was scaled within each diet composition generally led to lower prediction accuracies in this study.
CONCLUSIONS: The rumen metagenome can explain a significant proportion of variation in beef cattle feed efficiency traits. Those traits can also be predicted using either host genome or rumen metagenome, though using both sources of information proved more accurate. Multiple methods of forming the metagenome (co)variance matrix can lead to similar prediction accuracies.},
            }
          
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Animals
Cattle/genetics/physiology
*Rumen/microbiology
*Metagenome
*Weight Gain/genetics
*Eating/genetics
Metagenomics/methods
Animal Feed
Phenotype
Genomics/methods
Diet/veterinary
Gastrointestinal Microbiome
          
RevDate: 2025-10-31
Precipitation legacy effects on soil microbiota facilitate adaptive drought responses in plants.
Nature microbiology [Epub ahead of print].
Drought alters the soil microbiota by selecting for functional traits that preserve fitness in dry conditions. Legacy effects or ecological memory refers to how past stress exposure influences microbiota responses to future environmental challenges. How precipitation legacy effects impact soil microorganisms and plants is unclear, especially in the context of subsequent drought. Here we characterized the metagenomes of six prairie soils spanning a precipitation gradient in Kansas, United States. A microbial precipitation legacy, which persisted over a 5-month-long experimental drought, mitigated the negative physiological effects of acute drought for a native wild grass species, but not for the domesticated crop species maize. RNA sequencing of roots revealed that soil microbiota with a low precipitation legacy altered expression of plant genes that mediate transpiration and intrinsic water-use efficiency during drought. Our results show how historical exposure to water stress alters soil microbiota, with consequences for future drought responses of some plant species.
Additional Links: PMID-41168432
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41168432,
            year = {2025},
            author = {Ginnan, NA and Custódio, V and Gopaulchan, D and Ford, N and Salas-González, I and Jones, DH and Wells, DM and Moreno,  and Castrillo, G and Wagner, MR},
            title = {Precipitation legacy effects on soil microbiota facilitate adaptive drought responses in plants.},
            journal = {Nature microbiology},
            volume = {},
            number = {},
            pages = {},
            pmid = {41168432},
            issn = {2058-5276},
            support = {IOS-2016351//National Science Foundation (NSF)/ ; IOS-2016351//National Science Foundation (NSF)/ ; IOS-2016351//National Science Foundation (NSF)/ ; BB/V011294/1//RCUK | Biotechnology and Biological Sciences Research Council (BBSRC)/ ; BB/V011294/1//RCUK | Biotechnology and Biological Sciences Research Council (BBSRC)/ ; BB/V011294/1//RCUK | Biotechnology and Biological Sciences Research Council (BBSRC)/ ; BB/V011294/1//RCUK | Biotechnology and Biological Sciences Research Council (BBSRC)/ ; BB/V011294/1//RCUK | Biotechnology and Biological Sciences Research Council (BBSRC)/ ; BB/V011294/1//RCUK | Biotechnology and Biological Sciences Research Council (BBSRC)/ ; BB/V011294/1//RCUK | Biotechnology and Biological Sciences Research Council (BBSRC)/ ; },
            abstract = {Drought alters the soil microbiota by selecting for functional traits that preserve fitness in dry conditions. Legacy effects or ecological memory refers to how past stress exposure influences microbiota responses to future environmental challenges. How precipitation legacy effects impact soil microorganisms and plants is unclear, especially in the context of subsequent drought. Here we characterized the metagenomes of six prairie soils spanning a precipitation gradient in Kansas, United States. A microbial precipitation legacy, which persisted over a 5-month-long experimental drought, mitigated the negative physiological effects of acute drought for a native wild grass species, but not for the domesticated crop species maize. RNA sequencing of roots revealed that soil microbiota with a low precipitation legacy altered expression of plant genes that mediate transpiration and intrinsic water-use efficiency during drought. Our results show how historical exposure to water stress alters soil microbiota, with consequences for future drought responses of some plant species.},
            }
          
RevDate: 2025-10-31
Human immunodeficiency virus and antiretroviral therapies exert distinct influences across diverse gut microbiomes.
Nature microbiology [Epub ahead of print].
Human immunodeficiency virus (HIV) infection alters gut microbiota composition and function, but the impact of geography and antiretroviral therapy remains unclear. Here we determined gut microbiome alterations linked to HIV infection and antiretroviral treatment in 327 individuals with HIV and 260 control participants in cohorts from Uganda, Botswana and the USA via faecal metagenomics. We found that while HIV-associated taxonomic differences were mostly site specific, changes in microbial functional pathways were broadly consistent across the cohorts and exacerbated in individuals with acquired immunodeficiency syndrome. Microbiome perturbations associated with antiretroviral medications were also geography dependent. In Botswana and Uganda, use of the non-nucleoside reverse transcriptase inhibitor efavirenz was linked to depletion of Prevotella, disruption of interspecies metabolic networks, exacerbation of systemic inflammation and atherosclerosis. Efavirenz-associated Prevotella depletion may occur through cross-inhibition of prokaryotic reverse transcriptases involved in antiphage defences, as shown by computational and in vitro experiments. These observations could inform future geography-specific and microbiome-guided therapy.
Additional Links: PMID-41168431
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41168431,
            year = {2025},
            author = {Jabbar, KS and Priya, S and Xu, J and Das Adhikari, U and Pishchany, G and Mohamed, ATM and Johansen, J and Thurimella, K and McCabe, C and Vlamakis, H and Okello, S and Delorey, TM and Lankowski, A and Mosepele, M and Siedner, MJ and Plichta, DR and Kwon, DS and Xavier, RJ},
            title = {Human immunodeficiency virus and antiretroviral therapies exert distinct influences across diverse gut microbiomes.},
            journal = {Nature microbiology},
            volume = {},
            number = {},
            pages = {},
            pmid = {41168431},
            issn = {2058-5276},
            support = {P30 DK043351/DK/NIDDK NIH HHS/United States ; R01 HL141053/HL/NHLBI NIH HHS/United States ; K24 HL166024/HL/NHLBI NIH HHS/United States ; DK120485//U.S. Department of Health & Human Services | National Institutes of Health (NIH)/ ; },
            abstract = {Human immunodeficiency virus (HIV) infection alters gut microbiota composition and function, but the impact of geography and antiretroviral therapy remains unclear. Here we determined gut microbiome alterations linked to HIV infection and antiretroviral treatment in 327 individuals with HIV and 260 control participants in cohorts from Uganda, Botswana and the USA via faecal metagenomics. We found that while HIV-associated taxonomic differences were mostly site specific, changes in microbial functional pathways were broadly consistent across the cohorts and exacerbated in individuals with acquired immunodeficiency syndrome. Microbiome perturbations associated with antiretroviral medications were also geography dependent. In Botswana and Uganda, use of the non-nucleoside reverse transcriptase inhibitor efavirenz was linked to depletion of Prevotella, disruption of interspecies metabolic networks, exacerbation of systemic inflammation and atherosclerosis. Efavirenz-associated Prevotella depletion may occur through cross-inhibition of prokaryotic reverse transcriptases involved in antiphage defences, as shown by computational and in vitro experiments. These observations could inform future geography-specific and microbiome-guided therapy.},
            }
          
            RevDate: 2025-10-31
CmpDate: 2025-10-31
          
Metagenome analysis of Citrus sinensis rhizosphere infected with Candidatus liberibacter asiaticus reveals distinct structure in bacterial communities.
Scientific reports, 15(1):37987.
The rhizosphere microbiome plays crucial roles in different root-associated biological functions, especially regulating plant defense systems. Huanglongbing (HLB) disease, caused by Candidatus Liberibacter species, is a disaster threat to the global citrus industry. This study investigates changes in rhizosphere bacterial communities of Citrus sinensis trees infected by Candidatus Liberibacter asiaticus (CLas). We performed the high-throughput sequencing of the rhizosphere-associated bacterial metagenome and identified taxonomic profiles. Alpha diversity based on Shannon and Chao1 indices, and beta diversity based on Bray-Curtis dissimilarity and the UniFrac indices, revealed significant differences in the composition and structure of the rhizosphere microbiome between CLas-infected and CLas-free trees. We achieved significant relative abundance at the phylum and family, and genus levels. The abundance of Pseudomonas, Chryseobacterium, and an unknown genus belonging to Aurantimonadaceae was significantly suppressed in infected trees, while Planococcus and an unknown genus belonging to Caulobacteraceae were significantly enriched. These results confirm that CLas have dramatically altered the structure and composition of the rhizosphere microbiome. These changes discovered some valuable biomarkers related to this disease. These clues might be applied in microbial engineering of the rhizosphere to control HLB.
Additional Links: PMID-41168291
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41168291,
            year = {2025},
            author = {Arjmand, E and Moghadam, A and Afsharifar, A and Faghihi, MM and Izadpanah, K and Taghavi, SM},
            title = {Metagenome analysis of Citrus sinensis rhizosphere infected with Candidatus liberibacter asiaticus reveals distinct structure in bacterial communities.},
            journal = {Scientific reports},
            volume = {15},
            number = {1},
            pages = {37987},
            pmid = {41168291},
            issn = {2045-2322},
            mesh = {*Rhizosphere ; *Plant Diseases/microbiology ; *Metagenome ; *Microbiota/genetics ; *Citrus sinensis/microbiology ; *Rhizobiaceae ; Plant Roots/microbiology ; Soil Microbiology ; *Bacteria/genetics/classification ; Phylogeny ; *Liberibacter ; High-Throughput Nucleotide Sequencing ; },
            abstract = {The rhizosphere microbiome plays crucial roles in different root-associated biological functions, especially regulating plant defense systems. Huanglongbing (HLB) disease, caused by Candidatus Liberibacter species, is a disaster threat to the global citrus industry. This study investigates changes in rhizosphere bacterial communities of Citrus sinensis trees infected by Candidatus Liberibacter asiaticus (CLas). We performed the high-throughput sequencing of the rhizosphere-associated bacterial metagenome and identified taxonomic profiles. Alpha diversity based on Shannon and Chao1 indices, and beta diversity based on Bray-Curtis dissimilarity and the UniFrac indices, revealed significant differences in the composition and structure of the rhizosphere microbiome between CLas-infected and CLas-free trees. We achieved significant relative abundance at the phylum and family, and genus levels. The abundance of Pseudomonas, Chryseobacterium, and an unknown genus belonging to Aurantimonadaceae was significantly suppressed in infected trees, while Planococcus and an unknown genus belonging to Caulobacteraceae were significantly enriched. These results confirm that CLas have dramatically altered the structure and composition of the rhizosphere microbiome. These changes discovered some valuable biomarkers related to this disease. These clues might be applied in microbial engineering of the rhizosphere to control HLB.},
            }
          
MeSH Terms:
show MeSH Terms
hide MeSH Terms
*Rhizosphere
*Plant Diseases/microbiology
*Metagenome
*Microbiota/genetics
*Citrus sinensis/microbiology
*Rhizobiaceae
Plant Roots/microbiology
Soil Microbiology
*Bacteria/genetics/classification
Phylogeny
*Liberibacter
High-Throughput Nucleotide Sequencing
          
            RevDate: 2025-10-30
CmpDate: 2025-10-30
          
[Balamuthia mandrillaris amebic encephalitis in children: a case report].
Zhongguo xue xi chong bing fang zhi za zhi = Chinese journal of schistosomiasis control, 37(4):447-450.
Balamuthia mandrillaris amebic encephalitis is a rare but highly fatal parasitic disease in the central nervous system caused by amebae infections. This disease is characterized by complex, diverse and non-specific clinical manifestations and high difficulty in diagnosis, resulting in a high likelihood of missing diagnosis and misdiagnosis. This article presents the diagnosis and treatment of a child with definitive diagnosis B. mandrillaris amebic encephalitis as revealed by metagenomic next-generation sequencing of cerebrospinal fluids, so as to provide insights into clinical diagnosis and treatment of B. mandrillaris amebic encephalitis.
Additional Links: PMID-41167954
Publisher:
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41167954,
            year = {2025},
            author = {Chen, T and Jin, D and Ye, H},
            title = {[Balamuthia mandrillaris amebic encephalitis in children: a case report].},
            journal = {Zhongguo xue xi chong bing fang zhi za zhi = Chinese journal of schistosomiasis control},
            volume = {37},
            number = {4},
            pages = {447-450},
            doi = {10.16250/j.32.1915.2024285},
            pmid = {41167954},
            issn = {1005-6661},
            support = {2019xkj175//Anhui Medical University Scientific Research Fund/ ; },
            mesh = {Humans ; *Balamuthia mandrillaris/isolation & purification/physiology/genetics ; Male ; *Encephalitis/diagnosis/parasitology ; *Amebiasis/diagnosis/parasitology ; Child ; Child, Preschool ; Female ; *Infectious Encephalitis/diagnosis/parasitology ; },
            abstract = {Balamuthia mandrillaris amebic encephalitis is a rare but highly fatal parasitic disease in the central nervous system caused by amebae infections. This disease is characterized by complex, diverse and non-specific clinical manifestations and high difficulty in diagnosis, resulting in a high likelihood of missing diagnosis and misdiagnosis. This article presents the diagnosis and treatment of a child with definitive diagnosis B. mandrillaris amebic encephalitis as revealed by metagenomic next-generation sequencing of cerebrospinal fluids, so as to provide insights into clinical diagnosis and treatment of B. mandrillaris amebic encephalitis.},
            }
          
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Humans
*Balamuthia mandrillaris/isolation & purification/physiology/genetics
Male
*Encephalitis/diagnosis/parasitology
*Amebiasis/diagnosis/parasitology
Child
Child, Preschool
Female
*Infectious Encephalitis/diagnosis/parasitology
          
            RevDate: 2025-10-30
CmpDate: 2025-10-30
          
[Metagenomic next - generation sequencing technology and its application in diagnosis of Pneumocystis jirovecii infection: a review].
Zhongguo xue xi chong bing fang zhi za zhi = Chinese journal of schistosomiasis control, 37(4):434-446.
Pneumocystis jirovecii is an opportunistic fungal pathogen causing fatal Pneumocystis jirovecii pneumonia (PJP) among immunocompromised patients. Conventional pathogen detection Methods have limitations, which hinders early diagnosis and treatment of PJP, resulting in misdiagnosis and underdiagnosis, and high mortality rates. Metagenomic next-generation sequencing (mNGS), which is high in sensitivity and specificity for pathogen detection, enables accurate detection of P. jirovecii and P. jirovecii co-infection with other pathogens, which facilitates timely diagnosis and treatment of PJP. This review summarizes the advances in mNGS technology and its application in diagnosis of PJP, highlighting its critical clinical value in improving diagnostic effectiveness, guiding clinical therapy, and preventing nosocomial transmission of PJP.
Additional Links: PMID-41167953
Publisher:
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41167953,
            year = {2025},
            author = {Xue, T and Du, W and Zhao, Y and Xu, J},
            title = {[Metagenomic next - generation sequencing technology and its application in diagnosis of Pneumocystis jirovecii infection: a review].},
            journal = {Zhongguo xue xi chong bing fang zhi za zhi = Chinese journal of schistosomiasis control},
            volume = {37},
            number = {4},
            pages = {434-446},
            doi = {10.16250/j.32.1374.2024277},
            pmid = {41167953},
            issn = {1005-6661},
            support = {32200168//National Natural Science Foundation of China/ ; BYJL044//Shanxi Medical University Science and Technology Guidance Project for Higher Education in Shangxi Province/ ; 2020150//Shanxi Provincial Traditional Chinese Medicine Research Project/ ; 2023RC-2-7//Lvliang Municipal Talent Introduction Program/ ; 2020-BS-268//Liaoning Provincial Department of Science and Technology Doctoral Startup Project/ ; XD1905//Shanxi Medical University Doctoral Research Startup Fund/ ; 2020L0223//Shanxi Provincial Higher Education Science and Technology Innovation Project/ ; },
            mesh = {Humans ; *Pneumocystis carinii/genetics/isolation & purification ; *High-Throughput Nucleotide Sequencing/methods ; *Pneumonia, Pneumocystis/diagnosis/microbiology ; *Metagenomics/methods ; },
            abstract = {Pneumocystis jirovecii is an opportunistic fungal pathogen causing fatal Pneumocystis jirovecii pneumonia (PJP) among immunocompromised patients. Conventional pathogen detection Methods have limitations, which hinders early diagnosis and treatment of PJP, resulting in misdiagnosis and underdiagnosis, and high mortality rates. Metagenomic next-generation sequencing (mNGS), which is high in sensitivity and specificity for pathogen detection, enables accurate detection of P. jirovecii and P. jirovecii co-infection with other pathogens, which facilitates timely diagnosis and treatment of PJP. This review summarizes the advances in mNGS technology and its application in diagnosis of PJP, highlighting its critical clinical value in improving diagnostic effectiveness, guiding clinical therapy, and preventing nosocomial transmission of PJP.},
            }
          
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Humans
*Pneumocystis carinii/genetics/isolation & purification
*High-Throughput Nucleotide Sequencing/methods
*Pneumonia, Pneumocystis/diagnosis/microbiology
*Metagenomics/methods
          
RevDate: 2025-10-30
Fe2O3 nanoparticles drive enhanced composting humification by modulating bacteriophage-bacteria interactions.
Bioresource technology pii:S0960-8524(25)01542-1 [Epub ahead of print].
Although bacteria are responsible for decomposing organic matter and forming humic substances (HS) during composting, the role of bacteriophages in carbon metabolism cannot be ignored. In this study, integrated metagenomics and untargeted metabolomic analysis were used to explore the interaction mechanism between bacteriophages and bacteria on the humification process in composting with added Fe2O3 nanoparticles (NPs). The results showed that Fe2O3 NPs optimized the function of the bacterial community by maintaining a high relative abundance of Bacillota, promoting organic matter degradation, and significantly increasing the HS concentration by 27 % on day 30 of composting. Specifically, the higher Bacillota relative abundance directly enhanced the relative abundance of cellulose phosphorylase (GH94), activated the glycolysis pathway, and led to a significant enrichment of metabolites such as phenols, organic acids, and amino acids on day 14 of composting, thereby strengthening energy metabolism. Furthermore, lysis of the host (Bacillota) by bacteriophages released cellular contents, providing key precursors for HS condensation. Concurrently, lysis by bacteriophages interrupted metabolism of the host, preventing complete mineralization of some carbon, thereby converting easily mineralizable carbon into sequestered HS carbon. Fe2O3 NPs also accelerated lignin depolymerization, enriching aromatic precursors and providing core structural units for humification. This study reveals that Fe2O3 NPs stimulate the synergistic action of the functional bacterium Bacillota and remodeling of the microbial-virus interaction network to drive efficient lignocellulose degradation and humification, thus providing a new strategy for optimizing composting processes based on viral regulation.
Additional Links: PMID-41167483
Publisher:
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41167483,
            year = {2025},
            author = {Cao, Y and Zhu, Y and He, W and Zou, Z and Chen, J and Yang, M and Yu, Y},
            title = {Fe2O3 nanoparticles drive enhanced composting humification by modulating bacteriophage-bacteria interactions.},
            journal = {Bioresource technology},
            volume = {},
            number = {},
            pages = {133575},
            doi = {10.1016/j.biortech.2025.133575},
            pmid = {41167483},
            issn = {1873-2976},
            abstract = {Although bacteria are responsible for decomposing organic matter and forming humic substances (HS) during composting, the role of bacteriophages in carbon metabolism cannot be ignored. In this study, integrated metagenomics and untargeted metabolomic analysis were used to explore the interaction mechanism between bacteriophages and bacteria on the humification process in composting with added Fe2O3 nanoparticles (NPs). The results showed that Fe2O3 NPs optimized the function of the bacterial community by maintaining a high relative abundance of Bacillota, promoting organic matter degradation, and significantly increasing the HS concentration by 27 % on day 30 of composting. Specifically, the higher Bacillota relative abundance directly enhanced the relative abundance of cellulose phosphorylase (GH94), activated the glycolysis pathway, and led to a significant enrichment of metabolites such as phenols, organic acids, and amino acids on day 14 of composting, thereby strengthening energy metabolism. Furthermore, lysis of the host (Bacillota) by bacteriophages released cellular contents, providing key precursors for HS condensation. Concurrently, lysis by bacteriophages interrupted metabolism of the host, preventing complete mineralization of some carbon, thereby converting easily mineralizable carbon into sequestered HS carbon. Fe2O3 NPs also accelerated lignin depolymerization, enriching aromatic precursors and providing core structural units for humification. This study reveals that Fe2O3 NPs stimulate the synergistic action of the functional bacterium Bacillota and remodeling of the microbial-virus interaction network to drive efficient lignocellulose degradation and humification, thus providing a new strategy for optimizing composting processes based on viral regulation.},
            }
          
RevDate: 2025-10-30
Unbiased DNA pathogen detection in tissues: Real-world experience with metagenomic sequencing in pathology.
Laboratory investigation; a journal of technical methods and pathology pii:S0023-6837(25)00164-3 [Epub ahead of print].
Pathogen detection in formalin-fixed paraffin-embedded (FFPE) tissue remains challenging. We implemented metagenomic next-generation sequencing (mNGS) in our clinical diagnostic workflow to evaluate its feasibility, diagnostic yield, and pathogen spectrum in routine infectious pathology cases. Between November 2021 and April 2025, we analyzed 623 FFPE tissue samples using a low-depth mNGS workflow on the Thermo Fisher Ion Torrent platform with a CLC Genomics Workbench bioinformatics pipeline. Our assay was designed to detect DNA pathogens. When possible, results were validated by orthogonal methods including species-specific PCRs, 16S/ITS PCR, and immunohistochemistry on tissue sections. Among 623 samples analyzed, at least one potentially pathogenic and plausible microorganism was identified in 229 samples (36.8%), while 334 (53.6%) were negative and 60 (9.6%) were uninterpretable due to quality control failures or suspected contamination. Of the 229 positive samples, 145 (63.3%) involved bacteria, 37 (16.2%) viruses, 28 (12.2%) fungi, and 9 (3.9%) parasites; mixed infections with more than one pathogen were detected in 10 (4.4%) samples. The most frequently identified bacterial family was Mycobacteriaceae (n=27), including Mycobacterium xenopi (n=8), which is not routinely covered by syndromic multiplex PCR panels. Notable viral and fungal detections included a novel human circovirus and Coccidioides posadasii. Despite variable sample quality and DNA input, mNGS yielded reliable results in a wide range of tissue types. Metagenomic NGS is a feasible, valuable addition to routine infectious pathology diagnostics, particularly in complex or inconclusive cases. The assay improved the diagnostic yield compared to conventional PCR, expanded the range of detectable pathogens, and proved robust even in low-quality FFPE samples. These results support broader adoption of mNGS in tissue-based pathogen diagnostics.
Additional Links: PMID-41167475
Publisher:
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41167475,
            year = {2025},
            author = {Hamelin, B and Hosch, S and Neidhöfer, C and Ruf, MT and Haslbauer, JD and Field, CM and Schläpfer, P and Manzo, M and Neumayr, A and Kuenzli, E and Mancuso, M and Sachs, M and Mensah, N and Bernhard, R and Klaus-Wirthner, B and Concu, M and Nienhold, R and Kuehl, R and Baettig, V and Weisser-Rohacek, M and Gosert, R and Tzankov, A and Tschudin-Sutter, S and Khanna, N and Leuzinger, K and Keller, PM and Mertz, KD},
            title = {Unbiased DNA pathogen detection in tissues: Real-world experience with metagenomic sequencing in pathology.},
            journal = {Laboratory investigation; a journal of technical methods and pathology},
            volume = {},
            number = {},
            pages = {104254},
            doi = {10.1016/j.labinv.2025.104254},
            pmid = {41167475},
            issn = {1530-0307},
            abstract = {Pathogen detection in formalin-fixed paraffin-embedded (FFPE) tissue remains challenging. We implemented metagenomic next-generation sequencing (mNGS) in our clinical diagnostic workflow to evaluate its feasibility, diagnostic yield, and pathogen spectrum in routine infectious pathology cases. Between November 2021 and April 2025, we analyzed 623 FFPE tissue samples using a low-depth mNGS workflow on the Thermo Fisher Ion Torrent platform with a CLC Genomics Workbench bioinformatics pipeline. Our assay was designed to detect DNA pathogens. When possible, results were validated by orthogonal methods including species-specific PCRs, 16S/ITS PCR, and immunohistochemistry on tissue sections. Among 623 samples analyzed, at least one potentially pathogenic and plausible microorganism was identified in 229 samples (36.8%), while 334 (53.6%) were negative and 60 (9.6%) were uninterpretable due to quality control failures or suspected contamination. Of the 229 positive samples, 145 (63.3%) involved bacteria, 37 (16.2%) viruses, 28 (12.2%) fungi, and 9 (3.9%) parasites; mixed infections with more than one pathogen were detected in 10 (4.4%) samples. The most frequently identified bacterial family was Mycobacteriaceae (n=27), including Mycobacterium xenopi (n=8), which is not routinely covered by syndromic multiplex PCR panels. Notable viral and fungal detections included a novel human circovirus and Coccidioides posadasii. Despite variable sample quality and DNA input, mNGS yielded reliable results in a wide range of tissue types. Metagenomic NGS is a feasible, valuable addition to routine infectious pathology diagnostics, particularly in complex or inconclusive cases. The assay improved the diagnostic yield compared to conventional PCR, expanded the range of detectable pathogens, and proved robust even in low-quality FFPE samples. These results support broader adoption of mNGS in tissue-based pathogen diagnostics.},
            }
          
RevDate: 2025-10-30
Ferroptosis Triggered by Gill Dysbiosis Mediates Immune Failure in Grass Carp Overwintering Syndrome.
Fish & shellfish immunology pii:S1050-4648(25)00854-X [Epub ahead of print].
Overwintering syndrome (OWS) causes massive mortality in grass carp (Ctenopharyngodon idella) during early spring, yet its pathogenesis beyond the "low-temperature-pathogen" paradigm remains unclear. This study investigates the cascade mechanism through integrated multi-omics analyses on gill tissues of healthy and OWS-affected grass carp. Gill histopathology revealed progressive necrotizing inflammation in OWS-affected grass carp. Transcriptomics identified 962 differentially expressed genes, highlighting upregulation of cytokine signaling, porphyrin metabolism, and ferroptosis alongside downregulation of adrenergic pathways. Ferroptosis was confirmed through the suppression of glutathione peroxidase 4 (GPX4) and the accumulation of iron in necrotic lamellae. Mucous cell depletion and eosinophil disintegration compromised the mucosal barriers of the gills. Metagenomic analysis first revealed a state of microbial dysbiosis, marked by bacterial dominance comprising 92.21% of the community, along with an enrichment of biofilm and exotoxin genes and a reduction in immune modulation, all exacerbating barrier dysfunction. Subsequent integrated correlation analysis linked the specifically enriched bacteria taxa, including Caldilinea sp. CFX5 and Ilumatobacter sp., to the upregulation of metabolic and virulence pathways, while also revealing significant microbiota-gene interactions that modulate gill immune and metabolic functions. Although previously reported pathogens like Flavobacterium and Aeromonas showed increased abundance in OWS-affected fish, their overall abundance remained low. Based on these findings, we propose a "Dysbiosis-Ferroptosis-Collapse" axis, in which microbiota-driven barrier disruption promotes iron overload and the suppression of GPX4, triggering non-resolving inflammation and ion dyshomeostasis. Targeting this cascade provides a novel theoretical framework for intervening in and developing new treatments for OWS.
Additional Links: PMID-41167355
Publisher:
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41167355,
            year = {2025},
            author = {Feng, Y and Liu, S and Huang, X and Geng, Y and Mou, C and Zhao, H and Zhou, J and Li, Q and Deng, Y},
            title = {Ferroptosis Triggered by Gill Dysbiosis Mediates Immune Failure in Grass Carp Overwintering Syndrome.},
            journal = {Fish & shellfish immunology},
            volume = {},
            number = {},
            pages = {110965},
            doi = {10.1016/j.fsi.2025.110965},
            pmid = {41167355},
            issn = {1095-9947},
            abstract = {Overwintering syndrome (OWS) causes massive mortality in grass carp (Ctenopharyngodon idella) during early spring, yet its pathogenesis beyond the "low-temperature-pathogen" paradigm remains unclear. This study investigates the cascade mechanism through integrated multi-omics analyses on gill tissues of healthy and OWS-affected grass carp. Gill histopathology revealed progressive necrotizing inflammation in OWS-affected grass carp. Transcriptomics identified 962 differentially expressed genes, highlighting upregulation of cytokine signaling, porphyrin metabolism, and ferroptosis alongside downregulation of adrenergic pathways. Ferroptosis was confirmed through the suppression of glutathione peroxidase 4 (GPX4) and the accumulation of iron in necrotic lamellae. Mucous cell depletion and eosinophil disintegration compromised the mucosal barriers of the gills. Metagenomic analysis first revealed a state of microbial dysbiosis, marked by bacterial dominance comprising 92.21% of the community, along with an enrichment of biofilm and exotoxin genes and a reduction in immune modulation, all exacerbating barrier dysfunction. Subsequent integrated correlation analysis linked the specifically enriched bacteria taxa, including Caldilinea sp. CFX5 and Ilumatobacter sp., to the upregulation of metabolic and virulence pathways, while also revealing significant microbiota-gene interactions that modulate gill immune and metabolic functions. Although previously reported pathogens like Flavobacterium and Aeromonas showed increased abundance in OWS-affected fish, their overall abundance remained low. Based on these findings, we propose a "Dysbiosis-Ferroptosis-Collapse" axis, in which microbiota-driven barrier disruption promotes iron overload and the suppression of GPX4, triggering non-resolving inflammation and ion dyshomeostasis. Targeting this cascade provides a novel theoretical framework for intervening in and developing new treatments for OWS.},
            }
          
RevDate: 2025-10-30
Integrating metagenomic sequencing into diagnostic pathways for tuberculous meningitis - Authors' reply.
Additional Links: PMID-41167204
Publisher:
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41167204,
            year = {2025},
            author = {Donovan, J and Cresswell, FV and Figaji, A and Thwaites, GE},
            title = {Integrating metagenomic sequencing into diagnostic pathways for tuberculous meningitis - Authors' reply.},
            journal = {The Lancet. Infectious diseases},
            volume = {},
            number = {},
            pages = {},
            doi = {10.1016/S1473-3099(25)00628-0},
            pmid = {41167204},
            issn = {1474-4457},
            }
          
RevDate: 2025-10-30
Integrating metagenomic sequencing into diagnostic pathways for tuberculous meningitis.
Additional Links: PMID-41167203
Publisher:
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41167203,
            year = {2025},
            author = {Lin, SY and Chen, CJ and Lu, PL},
            title = {Integrating metagenomic sequencing into diagnostic pathways for tuberculous meningitis.},
            journal = {The Lancet. Infectious diseases},
            volume = {},
            number = {},
            pages = {},
            doi = {10.1016/S1473-3099(25)00627-9},
            pmid = {41167203},
            issn = {1474-4457},
            }
          
RevDate: 2025-10-30
A high-quality genomic catalog of the human oral microbiome broadens its phylogeny and clinical insights.
Cell host & microbe pii:S1931-3128(25)00415-9 [Epub ahead of print].
The oral microbiome is increasingly linked to human health. To further examine this microbial community, we present the human reference oral microbiome (HROM), with 72,641 high-quality genomes from 3,426 species, including 2,019 previously unidentified species, improving metagenomic sequence read classification over existing catalogs. Notably, HROM unveils 1,137 previously uncharacterized candidate phyla radiation (CPR) species, establishing Patescibacteria as the most prevalent phylum in the oral microbiota and distinct from environmental Patescibacteria. Additionally, an oral CPR subclade is associated with periodontitis, complementing Porphyromonas gingivalis in predicting disease. Finally, comparing HROM with reference genomes of the gut microbiome reveals taxonomic and functional divergence between these microbiomes. HROM contains 42 ectopic oral species, and their relative abundance in gut microbiota is predictive of intestinal, cardiovascular, and liver diseases. Thus, HROM offers an expanded view of the oral microbiome and highlights the clinical importance of further examining the links between oral microbes and systemic disorders.
Additional Links: PMID-41167188
Publisher:
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41167188,
            year = {2025},
            author = {Cha, JH and Kim, N and Ma, J and Lee, S and Koh, G and Yang, S and Beck, S and Byeon, I and Lee, B and Lee, I},
            title = {A high-quality genomic catalog of the human oral microbiome broadens its phylogeny and clinical insights.},
            journal = {Cell host & microbe},
            volume = {},
            number = {},
            pages = {},
            doi = {10.1016/j.chom.2025.10.001},
            pmid = {41167188},
            issn = {1934-6069},
            abstract = {The oral microbiome is increasingly linked to human health. To further examine this microbial community, we present the human reference oral microbiome (HROM), with 72,641 high-quality genomes from 3,426 species, including 2,019 previously unidentified species, improving metagenomic sequence read classification over existing catalogs. Notably, HROM unveils 1,137 previously uncharacterized candidate phyla radiation (CPR) species, establishing Patescibacteria as the most prevalent phylum in the oral microbiota and distinct from environmental Patescibacteria. Additionally, an oral CPR subclade is associated with periodontitis, complementing Porphyromonas gingivalis in predicting disease. Finally, comparing HROM with reference genomes of the gut microbiome reveals taxonomic and functional divergence between these microbiomes. HROM contains 42 ectopic oral species, and their relative abundance in gut microbiota is predictive of intestinal, cardiovascular, and liver diseases. Thus, HROM offers an expanded view of the oral microbiome and highlights the clinical importance of further examining the links between oral microbes and systemic disorders.},
            }
          
RevDate: 2025-10-30
Comprehensive Insights into the Role of Hydrogen Bonds in the Anaerobic Fermentation of Insoluble Exopolysaccharides in Waste Activated Sludge: Taking Chondroitin Sulfate as an Example.
Environmental science & technology [Epub ahead of print].
The hydrogen bond confers the structural recalcitrance of insoluble exopolysaccharides, but its role in the anaerobic fermentation of waste activated sludge (WAS) is seldom reported. As a typical high-molecular-weight exopolysaccharide with poor solubility, chondroitin sulfate (CS) was used to elucidate the role of hydrogen bonds in WAS fermentation. The chondroitin sulfate-degrading consortium (CSDC) was enriched for 180 days, but the methane production was limited (∼18%). The methane production was significantly improved by 88.2%, and extracellular enzyme activity increased by 11.8% after the fast acidic pretreatment of CS. The disruption of the hydrogen bond was confirmed by combining 41.6% reduction of particle size, 46.7% decrease of surface height, blue shifts in the O-H vibrational spectra, and 38.1% decline of interfacial free energy. The molecular dynamics simulation further showed that the hydrogen bond number after the fast acidic pretreatment was reduced from 51.4 ± 2.7 to 44.9 ± 2.1. Co-occurrence network analysis identified Thermovirga as a keystone taxon to facilitate microbial cooperation. The metagenomics and metaproteomics analyses revealed that Proteiniphilum and Mariniphaga served as key producers of extracellular CS-degrading enzymes, primarily CS lyase (EC 4.2.2.5). Above all, these findings demonstrate that the hydrogen bond represents a non-negligible structural constraint on the degradability of insoluble exopolysaccharides.
Additional Links: PMID-41166605
Publisher:
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41166605,
            year = {2025},
            author = {Huang, XC and Zheng, SJ and Hu, YL and Cao, YE and Liu, YY and Dai, K and Zeng, RJ and Zhang, F},
            title = {Comprehensive Insights into the Role of Hydrogen Bonds in the Anaerobic Fermentation of Insoluble Exopolysaccharides in Waste Activated Sludge: Taking Chondroitin Sulfate as an Example.},
            journal = {Environmental science & technology},
            volume = {},
            number = {},
            pages = {},
            doi = {10.1021/acs.est.5c11116},
            pmid = {41166605},
            issn = {1520-5851},
            abstract = {The hydrogen bond confers the structural recalcitrance of insoluble exopolysaccharides, but its role in the anaerobic fermentation of waste activated sludge (WAS) is seldom reported. As a typical high-molecular-weight exopolysaccharide with poor solubility, chondroitin sulfate (CS) was used to elucidate the role of hydrogen bonds in WAS fermentation. The chondroitin sulfate-degrading consortium (CSDC) was enriched for 180 days, but the methane production was limited (∼18%). The methane production was significantly improved by 88.2%, and extracellular enzyme activity increased by 11.8% after the fast acidic pretreatment of CS. The disruption of the hydrogen bond was confirmed by combining 41.6% reduction of particle size, 46.7% decrease of surface height, blue shifts in the O-H vibrational spectra, and 38.1% decline of interfacial free energy. The molecular dynamics simulation further showed that the hydrogen bond number after the fast acidic pretreatment was reduced from 51.4 ± 2.7 to 44.9 ± 2.1. Co-occurrence network analysis identified Thermovirga as a keystone taxon to facilitate microbial cooperation. The metagenomics and metaproteomics analyses revealed that Proteiniphilum and Mariniphaga served as key producers of extracellular CS-degrading enzymes, primarily CS lyase (EC 4.2.2.5). Above all, these findings demonstrate that the hydrogen bond represents a non-negligible structural constraint on the degradability of insoluble exopolysaccharides.},
            }
          
RevDate: 2025-10-30
A deep metagenomic atlas of Qinghai-Xizang Plateau lakes reveals their microbial diversity and salinity adaptation mechanisms.
Cell reports, 44(11):116483 pii:S2211-1247(25)01254-9 [Epub ahead of print].
The Qinghai-Xizang Plateau (QXP), harboring the planet's highest density of plateau lakes, offers an exceptional biogeographic environment for studying extremophilic microbial communities and their adaptation to salinity. Through deep metagenomic sequencing, we construct the Qinghai-Xizang Lake Sediment Genome (QXLSG) catalog, a high-resolution genomic catalog comprising 5,866 metagenome-assembled genomes (MAGs), 58.16 million non-redundant protein encoding genes, and 19,008 biosynthetic gene clusters. Notably, 80.78% of the 2,742 species-level MAGs represent undescribed taxa, significantly expanding the known microbial diversity. Salinity emerges as the primary environmental factor influencing microbial community. Functional annotation highlights that the "salt-out" strategy, particularly the uptake of glycine betaine, is the main mechanism for salinity tolerance. This strategy is prevalent in both hypersaline lake communities and the dominant microbial phyla. Overall, this study provides a crucial genetic resource for future bioprospecting and deepens our understanding of the fundamental mechanisms of microbial adaptation to extreme saline environments.
Additional Links: PMID-41166306
Publisher:
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41166306,
            year = {2025},
            author = {Zhang, ZF and Huang, JE and Phurbu, D and Qu, ZS and Liu, F and Cai, L},
            title = {A deep metagenomic atlas of Qinghai-Xizang Plateau lakes reveals their microbial diversity and salinity adaptation mechanisms.},
            journal = {Cell reports},
            volume = {44},
            number = {11},
            pages = {116483},
            doi = {10.1016/j.celrep.2025.116483},
            pmid = {41166306},
            issn = {2211-1247},
            abstract = {The Qinghai-Xizang Plateau (QXP), harboring the planet's highest density of plateau lakes, offers an exceptional biogeographic environment for studying extremophilic microbial communities and their adaptation to salinity. Through deep metagenomic sequencing, we construct the Qinghai-Xizang Lake Sediment Genome (QXLSG) catalog, a high-resolution genomic catalog comprising 5,866 metagenome-assembled genomes (MAGs), 58.16 million non-redundant protein encoding genes, and 19,008 biosynthetic gene clusters. Notably, 80.78% of the 2,742 species-level MAGs represent undescribed taxa, significantly expanding the known microbial diversity. Salinity emerges as the primary environmental factor influencing microbial community. Functional annotation highlights that the "salt-out" strategy, particularly the uptake of glycine betaine, is the main mechanism for salinity tolerance. This strategy is prevalent in both hypersaline lake communities and the dominant microbial phyla. Overall, this study provides a crucial genetic resource for future bioprospecting and deepens our understanding of the fundamental mechanisms of microbial adaptation to extreme saline environments.},
            }
          
RevDate: 2025-10-30
A multi-omics analysis reveals a gut microbiome-LPC metabolic axis driving postoperative inflammation in cardiopulmonary bypass patients.
Shock (Augusta, Ga.) pii:00024382-990000000-00750 [Epub ahead of print].
            BACKGROUND: Patients undergoing cardiac surgery with cardiopulmonary bypass (CSCPB) are at substantial postoperative risk, which may be influenced by alterations in gut microbiota and metabolites. The roles of these biological changes in postoperative outcomes remain inadequately explored.
METHODS: We collected 54 preoperative samples and 33 postoperative samples from 60 CSCPB patients. Metagenomic and metabolomic sequencing were performed to identify the gut microbiota and serum and fecal metabolites. We examined the dynamics pattern of these microbiota and metabolites, as well as their associations with the postoperative risk. Additionally, we developed a predictive model for postoperative risk based on preoperative microbiome and metabolome data.
RESULTS: We revealed significant alterations of gut microbiota (P = 0.012), serum metabolites (P = 3.50e-10) and fecal metabolites (P = 0.0081) in patients following CSCPB, among which lysophosphatidylcholines (LPCs) exhibited notable changes. Particularly, we identified a potential regulatory function of the microbiota on LPC metabolism, which further influence the postoperative risk. The predictive model for ICU stay duration achieved a mean absolute error (MAE) of 1.27 days and an R² of 0.63, suggesting its utility in assessing postoperative risk. Also, our study provides a valuable resource (catalogue GM3C) for further investigation into potential medical targets in CSCPB patients, comprising more than 2,000 metagenome-assembled genomes and 3 million unigenes.
CONCLUSIONS: Our study reveals that the gut microbiome and LPC-centered metabolism form a functional network influencing postoperative risk in CSCPB patients. These findings underscore the role of gut-derived signals in modulating non-infectious inflammatory responses and host imbalance, offering a multi-omics framework for decoding systemic complications beyond classical sepsis paradigms.
TRIAL REGISTRATION: ClinicalTrials.gov (NCT04032938). Registered 25 July 2019, https://clinicaltrials.gov/study/NCT04032938#study-record-dates.
          
Additional Links: PMID-41166145
Publisher:
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41166145,
            year = {2025},
            author = {Ding, W and Zhang, H and Wen, J and Xiong, G and Cheng, M and Liu, J and Zhao, Y and Miao, Q and Deng, H and Xu, Z and Mi, L and Tan, Z and Su, L and Long, Y and Ning, K},
            title = {A multi-omics analysis reveals a gut microbiome-LPC metabolic axis driving postoperative inflammation in cardiopulmonary bypass patients.},
            journal = {Shock (Augusta, Ga.)},
            volume = {},
            number = {},
            pages = {},
            doi = {10.1097/SHK.0000000000002722},
            pmid = {41166145},
            issn = {1540-0514},
            abstract = {BACKGROUND: Patients undergoing cardiac surgery with cardiopulmonary bypass (CSCPB) are at substantial postoperative risk, which may be influenced by alterations in gut microbiota and metabolites. The roles of these biological changes in postoperative outcomes remain inadequately explored.
METHODS: We collected 54 preoperative samples and 33 postoperative samples from 60 CSCPB patients. Metagenomic and metabolomic sequencing were performed to identify the gut microbiota and serum and fecal metabolites. We examined the dynamics pattern of these microbiota and metabolites, as well as their associations with the postoperative risk. Additionally, we developed a predictive model for postoperative risk based on preoperative microbiome and metabolome data.
RESULTS: We revealed significant alterations of gut microbiota (P = 0.012), serum metabolites (P = 3.50e-10) and fecal metabolites (P = 0.0081) in patients following CSCPB, among which lysophosphatidylcholines (LPCs) exhibited notable changes. Particularly, we identified a potential regulatory function of the microbiota on LPC metabolism, which further influence the postoperative risk. The predictive model for ICU stay duration achieved a mean absolute error (MAE) of 1.27 days and an R² of 0.63, suggesting its utility in assessing postoperative risk. Also, our study provides a valuable resource (catalogue GM3C) for further investigation into potential medical targets in CSCPB patients, comprising more than 2,000 metagenome-assembled genomes and 3 million unigenes.
CONCLUSIONS: Our study reveals that the gut microbiome and LPC-centered metabolism form a functional network influencing postoperative risk in CSCPB patients. These findings underscore the role of gut-derived signals in modulating non-infectious inflammatory responses and host imbalance, offering a multi-omics framework for decoding systemic complications beyond classical sepsis paradigms.
TRIAL REGISTRATION: ClinicalTrials.gov (NCT04032938). Registered 25 July 2019, https://clinicaltrials.gov/study/NCT04032938#study-record-dates.},
            }
          
            RevDate: 2025-10-30
CmpDate: 2025-10-30
          
Poultry slaughterhouse wastewater as a driver of bacterial community shifts and the spread of antibiotic resistance genes in aquatic ecosystems.
Environmental monitoring and assessment, 197(11):1268.
Poultry slaughterhouse wastewater (PSW) is a source of environmental pollutants, harboring pathogens and antibiotic resistance genes (ARGs). This study aimed to assess the effects of conventional biological treatment of PSW on the bacterial community and its efficiency in removing ARGs, as well as to evaluate the impact of its discharge on the receiving river. Samples were collected from raw sewage, treated effluent, and upstream and downstream river sites. Total metagenomic DNA was extracted for real-time PCR quantification of 16S rRNA, yccT gene (Escherichia coli), and ARGs, which were selected based on their ability to confer resistance to clinically relevant antibiotics and their prevalence in poultry-associated environments, including resistance to tetracyclines (tetM), beta-lactams (blaTEM), sulfonamides (sul1), and quinolones (qnrS). Amplicon sequencing of 16S rRNA V3-V4 region was used to assess bacterial community structure. Treated effluent significantly altered the downstream microbiome, reducing bacterial richness by up to 72.3% and diversity by 25.4%. Effluent-associated phyla such as Pseudomonadota (37%), Bacillota (28%), and Bacteroidota (26%) became dominant in the downstream river samples. Enterobacterales increased after treatment, and E. coli increased by 2.93 logs downstream. All ARGs increased after treatment and remained elevated downstream, with qnrS and sul1 rising by 3.77 and 3.87 logs, respectively. These findings highlight PSW treatment plants as a potential point of selection and dissemination of antimicrobial resistance (AMR)-related bacteria and genes. Inefficient treatment contributes to shifts in river bacterial communities and the spread of AMR.
Additional Links: PMID-41165913
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41165913,
            year = {2025},
            author = {de Farias, BO and Dos Santos Lopes, E and Pereira, BC and Pimenta, RL and Parente, CET and Seldin, L and Saggioro, EM},
            title = {Poultry slaughterhouse wastewater as a driver of bacterial community shifts and the spread of antibiotic resistance genes in aquatic ecosystems.},
            journal = {Environmental monitoring and assessment},
            volume = {197},
            number = {11},
            pages = {1268},
            pmid = {41165913},
            issn = {1573-2959},
            mesh = {*Wastewater/microbiology ; Animals ; *Abattoirs ; *Drug Resistance, Microbial/genetics ; Bacteria/genetics ; Poultry ; Genes, Bacterial ; Waste Disposal, Fluid ; RNA, Ribosomal, 16S ; Environmental Monitoring ; Anti-Bacterial Agents ; *Water Microbiology ; Microbiota ; },
            abstract = {Poultry slaughterhouse wastewater (PSW) is a source of environmental pollutants, harboring pathogens and antibiotic resistance genes (ARGs). This study aimed to assess the effects of conventional biological treatment of PSW on the bacterial community and its efficiency in removing ARGs, as well as to evaluate the impact of its discharge on the receiving river. Samples were collected from raw sewage, treated effluent, and upstream and downstream river sites. Total metagenomic DNA was extracted for real-time PCR quantification of 16S rRNA, yccT gene (Escherichia coli), and ARGs, which were selected based on their ability to confer resistance to clinically relevant antibiotics and their prevalence in poultry-associated environments, including resistance to tetracyclines (tetM), beta-lactams (blaTEM), sulfonamides (sul1), and quinolones (qnrS). Amplicon sequencing of 16S rRNA V3-V4 region was used to assess bacterial community structure. Treated effluent significantly altered the downstream microbiome, reducing bacterial richness by up to 72.3% and diversity by 25.4%. Effluent-associated phyla such as Pseudomonadota (37%), Bacillota (28%), and Bacteroidota (26%) became dominant in the downstream river samples. Enterobacterales increased after treatment, and E. coli increased by 2.93 logs downstream. All ARGs increased after treatment and remained elevated downstream, with qnrS and sul1 rising by 3.77 and 3.87 logs, respectively. These findings highlight PSW treatment plants as a potential point of selection and dissemination of antimicrobial resistance (AMR)-related bacteria and genes. Inefficient treatment contributes to shifts in river bacterial communities and the spread of AMR.},
            }
          
MeSH Terms:
show MeSH Terms
hide MeSH Terms
*Wastewater/microbiology
Animals
*Abattoirs
*Drug Resistance, Microbial/genetics
Bacteria/genetics
Poultry
Genes, Bacterial
Waste Disposal, Fluid
RNA, Ribosomal, 16S
Environmental Monitoring
Anti-Bacterial Agents
*Water Microbiology
Microbiota
          
RevDate: 2025-10-30
Wǔhà n sharpbelly bornavirus infects and persists in cypriniform cells.
Journal of virology [Epub ahead of print].
Our recent study using in silico data mining identified novel culterviruses (family: Bornaviridae) in fish, including a variant of Wuhan sharpbelly bornavirus (WhSBV) in grass carp kidney and liver cell lines. Here, metagenomic sequencing of different fish cell lines revealed WhSBV in two cell lines from grass carp (Ctenopharyngodon idella; order: Cypriniformes). Using these cell lines, we investigated the ability of WhSBV to infect and establish persistent infection in other cell lines from bony fish (Cypriniformes, Chichliformes, Salmoniformes, Centrarchiformes, and Spariformes), reptiles (Testudines and Squamata), birds (Galliformes), and mammals (Primates and Rodentia). WhSBV showed efficient replication and a time-dependent increase in viral RNA levels in cypriniform cells, whereas replication was limited, confined to single cells, and lacked a clear time-dependent increase in cells from other bony fish and reptiles. No replication was detected in avian and mammalian cells. In situ hybridization and electron microscopy confirmed the presence of viral RNA and particles in infected cypriniform cells. Transcriptomic sequencing revealed minimal innate immune activation during early stages of infection and antiviral response only at later stages, suggesting that WhSBV establishes persistence by evading early immune recognition. In addition, we identified polycistronic viral mRNAs regulated by specific transcriptional start and termination sites and RNA splicing. Viral proteins were detected, confirming previous in silico predictions. These findings provide insights into the potential infectivity, persistence mechanisms, and transcriptional strategies of WhSBV. This study validates previous findings from in silico data mining, further reinforcing its effectiveness as a powerful tool for discovering hidden viruses.IMPORTANCEUnderstanding the diversity and host range of viruses is crucial for assessing their ecological role, associated diseases, and zoonotic potential. However, many newly discovered viruses are characterized using sequence data alone because isolates are often difficult to obtain. Using cell culture models, this study characterizes Wuhan sharpbelly bornavirus (WhSBV), a member of the genus Cultervirus. Here, we demonstrate its ability to establish persistent infection in cypriniform fish cell lines, while exhibiting restricted replication in certain non-cypriniform fish. The identification of polycistronic transcription, splicing events, and immune evasion mechanisms advances our understanding of the molecular biology of WhSBV and culterviruses in general. By validating in silico predictions, this study highlights the power of computational approaches in uncovering viral diversity. As cypriniform fish include economically important species such as carp, understanding the dynamics of WhSBV host range and infection biology may be crucial for future aquaculture health management.
Additional Links: PMID-41165328
Publisher:
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41165328,
            year = {2025},
            author = {Eshak, MIY and Breithaupt, A and Tews, BA and Luttermann, C and Franzke, K and Scheibe, M and Woelke, S and Beer, M and Rubbenstroth, D and Pfaff, F},
            title = {Wǔhàn sharpbelly bornavirus infects and persists in cypriniform cells.},
            journal = {Journal of virology},
            volume = {},
            number = {},
            pages = {e0132225},
            doi = {10.1128/jvi.01322-25},
            pmid = {41165328},
            issn = {1098-5514},
            abstract = {Our recent study using in silico data mining identified novel culterviruses (family: Bornaviridae) in fish, including a variant of Wuhan sharpbelly bornavirus (WhSBV) in grass carp kidney and liver cell lines. Here, metagenomic sequencing of different fish cell lines revealed WhSBV in two cell lines from grass carp (Ctenopharyngodon idella; order: Cypriniformes). Using these cell lines, we investigated the ability of WhSBV to infect and establish persistent infection in other cell lines from bony fish (Cypriniformes, Chichliformes, Salmoniformes, Centrarchiformes, and Spariformes), reptiles (Testudines and Squamata), birds (Galliformes), and mammals (Primates and Rodentia). WhSBV showed efficient replication and a time-dependent increase in viral RNA levels in cypriniform cells, whereas replication was limited, confined to single cells, and lacked a clear time-dependent increase in cells from other bony fish and reptiles. No replication was detected in avian and mammalian cells. In situ hybridization and electron microscopy confirmed the presence of viral RNA and particles in infected cypriniform cells. Transcriptomic sequencing revealed minimal innate immune activation during early stages of infection and antiviral response only at later stages, suggesting that WhSBV establishes persistence by evading early immune recognition. In addition, we identified polycistronic viral mRNAs regulated by specific transcriptional start and termination sites and RNA splicing. Viral proteins were detected, confirming previous in silico predictions. These findings provide insights into the potential infectivity, persistence mechanisms, and transcriptional strategies of WhSBV. This study validates previous findings from in silico data mining, further reinforcing its effectiveness as a powerful tool for discovering hidden viruses.IMPORTANCEUnderstanding the diversity and host range of viruses is crucial for assessing their ecological role, associated diseases, and zoonotic potential. However, many newly discovered viruses are characterized using sequence data alone because isolates are often difficult to obtain. Using cell culture models, this study characterizes Wuhan sharpbelly bornavirus (WhSBV), a member of the genus Cultervirus. Here, we demonstrate its ability to establish persistent infection in cypriniform fish cell lines, while exhibiting restricted replication in certain non-cypriniform fish. The identification of polycistronic transcription, splicing events, and immune evasion mechanisms advances our understanding of the molecular biology of WhSBV and culterviruses in general. By validating in silico predictions, this study highlights the power of computational approaches in uncovering viral diversity. As cypriniform fish include economically important species such as carp, understanding the dynamics of WhSBV host range and infection biology may be crucial for future aquaculture health management.},
            }
          
            RevDate: 2025-10-30
CmpDate: 2025-10-30
          
Plasma and feces multiomics unveil cognition-associated perturbations of chronic inflammatory pathways of the gut-microbiota-brain axis.
Alzheimer's & dementia : the journal of the Alzheimer's Association, 21(10):e70844.
            INTRODUCTION: Gut-microbiota dysbiosis has been linked to cognitive decline. Given its role in metabolism, immunity, and environmental interactions, broader molecular signaling alterations are likely.
METHODS: We analyzed gut microbiota composition, plasma and fecal metabolites, and inflammatory cytokines across cognitive stages, from healthy controls to dementia.
RESULTS: Alpha diversity declined with increasing cognitive impairment severity. Short-chain fatty acid-producing Firmicutes and Bacteroidota decreased from 76% and 17% in controls to 59% and 11% in dementia, respectively. Proteobacteria (e.g., Escherichia-Shigella) rose from < 2% to 4%, and Verrucomicrobiota from 3% to 11%. Despite overall Firmicutes decline, Ruminococcus gnavus, a mucus-degrading species, increased in dementia. These shifts correlated with elevated plasma cytokines, suggesting a link between gut dysbiosis and systemic inflammation. Bacteria-associated metabolites, including bile acids, trimethylamine N-oxide, oxylipins, sugars, and fatty acids were significantly altered. Changes were seen as early as subjective cognitive decline.
DISCUSSION: Larger studies are needed to validate these findings and explore microbiome-based interventions.
HIGHLIGHTS: Examined gut microbiota, inflammation, and metabolic changes in cognitive impairment stages Early metabolic changes in feces detected before plasma alterations Observed shifts in gut microbiota and inflammation associated with cognitive decline Suggests potential for early biomarkers based on gut metabolites Calls for larger, longitudinal studies to validate findings.
          
Additional Links: PMID-41164885
Publisher:
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41164885,
            year = {2025},
            author = {Hosseinkhani, F and Chevalier, C and Marizzoni, M and Park, R and Bos, S and Dunjko, AK and van Duijn, CM and Harms, AC and Frisoni, GB and Hankemeier, T},
            title = {Plasma and feces multiomics unveil cognition-associated perturbations of chronic inflammatory pathways of the gut-microbiota-brain axis.},
            journal = {Alzheimer's & dementia : the journal of the Alzheimer's Association},
            volume = {21},
            number = {10},
            pages = {e70844},
            doi = {10.1002/alz.70844},
            pmid = {41164885},
            issn = {1552-5279},
            support = {184.034.019//Dutch Research Council (NWO)/ ; 175.2019.032//Dutch Research Council (NWO)/ ; //Private Foundation of Geneva University Hospitals: A.P.R.A.-Association Suisse pour la Recherche sur la Maladie d'Alzheimer, Genève/ ; //Fondation Segré, Genève/ ; //Race Against Dementia Foundation, London, UK/ ; //Fondation Child Care, Genève/ ; //Fondation Edmond J. Safra, Genève/ ; //Fondation Minkoff, Genève/ ; //Fondazione Agusta, Lugano/ ; //McCall Macbain Foundation, Canada/ ; //Nicole et René Keller, Genève/ ; //Fondation AETAS, Genève/ ; //Clinical Research Center, University Hospital and Faculty of Medicine/ ; //Italian Ministry of Health (Ricerca Corrente)/ ; //Hôpitaux Universitaires de Genève/ ; 175.2019.032//Nederlandse Organisatie voor Wetenschappelijk Onderzoek/ ; },
            mesh = {Humans ; *Gastrointestinal Microbiome/physiology ; *Feces/microbiology/chemistry ; Male ; Female ; *Dysbiosis/metabolism ; *Cognitive Dysfunction/metabolism/microbiology ; Aged ; *Inflammation/metabolism ; *Brain/metabolism ; Cytokines/blood ; Multiomics ; },
            abstract = {INTRODUCTION: Gut-microbiota dysbiosis has been linked to cognitive decline. Given its role in metabolism, immunity, and environmental interactions, broader molecular signaling alterations are likely.
METHODS: We analyzed gut microbiota composition, plasma and fecal metabolites, and inflammatory cytokines across cognitive stages, from healthy controls to dementia.
RESULTS: Alpha diversity declined with increasing cognitive impairment severity. Short-chain fatty acid-producing Firmicutes and Bacteroidota decreased from 76% and 17% in controls to 59% and 11% in dementia, respectively. Proteobacteria (e.g., Escherichia-Shigella) rose from < 2% to 4%, and Verrucomicrobiota from 3% to 11%. Despite overall Firmicutes decline, Ruminococcus gnavus, a mucus-degrading species, increased in dementia. These shifts correlated with elevated plasma cytokines, suggesting a link between gut dysbiosis and systemic inflammation. Bacteria-associated metabolites, including bile acids, trimethylamine N-oxide, oxylipins, sugars, and fatty acids were significantly altered. Changes were seen as early as subjective cognitive decline.
DISCUSSION: Larger studies are needed to validate these findings and explore microbiome-based interventions.
HIGHLIGHTS: Examined gut microbiota, inflammation, and metabolic changes in cognitive impairment stages Early metabolic changes in feces detected before plasma alterations Observed shifts in gut microbiota and inflammation associated with cognitive decline Suggests potential for early biomarkers based on gut metabolites Calls for larger, longitudinal studies to validate findings.},
            }
          
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Humans
*Gastrointestinal Microbiome/physiology
*Feces/microbiology/chemistry
Male
Female
*Dysbiosis/metabolism
*Cognitive Dysfunction/metabolism/microbiology
Aged
*Inflammation/metabolism
*Brain/metabolism
Cytokines/blood
Multiomics
          
RevDate: 2025-10-30
Association Between Alternative Complement Pathway and Carotid Plaque and the Underlying Gut Microbial and Inflammatory Biomarkers: A Cohort Study.
Arteriosclerosis, thrombosis, and vascular biology [Epub ahead of print].
            BACKGROUND: The alternative pathway (AP) plays a crucial role in triggering complement activation and promoting chronic inflammation. This study aims to investigate the longitudinal association between AP and atherosclerosis, and explore the potential role of gut microbiota and inflammatory factors in their association.
METHOD: This study was based on a 9-year prospective cohort of 3382 participants from Guangzhou, China (mean age±SD, 57.75±5.85 years; 68.8% female), with data on serum APACPs (AP-associated complement proteins) and carotid plaque (measured by ultrasound) repeatedly measured up to 3×. Baseline inflammatory markers were evaluated in 923 participants, and gut shotgun metagenome data were obtained from 1567 participants. Mendelian randomization analysis was performed using genome-wide significant genetic variants as instrumental variables to suggest potential causal associations.
RESULTS: Both longitudinal and prospective analyses consistently demonstrated positive associations between carotid plaque and 3 complement components: C3 (odds ratios [95% Cl] for the highest versus lowest quartiles, 1.36 [1.07-1.74] in longitudinal analysis and 1.29 [1.06-1.56] in prospective analysis), CFB (complement factor B; 1.36 [1.07-1.72] in longitudinal analysis and 1.39 [1.15-1.69] in prospective analysis), and CFH (complement factor H; 1.39 [1.10-1.76] in longitudinal analysis and 1.31 [1.07-1.61] in prospective analysis). Mendelian randomization analysis suggested a potential causal association between CFB and carotid plaque. Inflammatory factors (CRP [C-reactive protein] and IL-6 [interleukin-6]) and microbial species (Ruminococcus bromii, Roseburia hominis, Rothia mucilaginosa, Collinsella stercoris, Olsenella scatoligenes, and Bacteroides massiliensis) were significantly associated with both APACPs and carotid plaque (P<0.05). For example, butyrate-producing bacterium R bromii was inversely associated with CFB and carotid plaque (odds ratios [95% CI], 0.83 [0.79-0.88]) and may mediate the CFB-carotid plaque association (proportion mediated, 13.5%; P=0.005). Microbial risk score (weighted sum of selected microbial species; proportion mediated, 42.6%; P<0.001) and total immune factors (the sum of all inflammatory factors; proportion mediated, 19.0%; P=0.002) mediated the association between Total-APACPs (sum of standardized carotid plaque-related APACPs [C3, CFB, and CFH]) and carotid plaque.
CONCLUSIONS: Our study showed a negative association between the AP and carotid plaque in a longitudinal cohort. Gut microbiota and inflammatory biomarkers may provide mechanistic insights into the association between the AP and atherosclerosis. Our findings pave the way for the development of new therapeutic targets for atherosclerosis.
          
Additional Links: PMID-41164876
Publisher:
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41164876,
            year = {2025},
            author = {Chen, H and Lu, Z and Xiao, C and Wang, X and Xi, Y and Yan, Y and Zheng, JS and Chen, YM and Deng, K},
            title = {Association Between Alternative Complement Pathway and Carotid Plaque and the Underlying Gut Microbial and Inflammatory Biomarkers: A Cohort Study.},
            journal = {Arteriosclerosis, thrombosis, and vascular biology},
            volume = {},
            number = {},
            pages = {},
            doi = {10.1161/ATVBAHA.125.322968},
            pmid = {41164876},
            issn = {1524-4636},
            abstract = {BACKGROUND: The alternative pathway (AP) plays a crucial role in triggering complement activation and promoting chronic inflammation. This study aims to investigate the longitudinal association between AP and atherosclerosis, and explore the potential role of gut microbiota and inflammatory factors in their association.
METHOD: This study was based on a 9-year prospective cohort of 3382 participants from Guangzhou, China (mean age±SD, 57.75±5.85 years; 68.8% female), with data on serum APACPs (AP-associated complement proteins) and carotid plaque (measured by ultrasound) repeatedly measured up to 3×. Baseline inflammatory markers were evaluated in 923 participants, and gut shotgun metagenome data were obtained from 1567 participants. Mendelian randomization analysis was performed using genome-wide significant genetic variants as instrumental variables to suggest potential causal associations.
RESULTS: Both longitudinal and prospective analyses consistently demonstrated positive associations between carotid plaque and 3 complement components: C3 (odds ratios [95% Cl] for the highest versus lowest quartiles, 1.36 [1.07-1.74] in longitudinal analysis and 1.29 [1.06-1.56] in prospective analysis), CFB (complement factor B; 1.36 [1.07-1.72] in longitudinal analysis and 1.39 [1.15-1.69] in prospective analysis), and CFH (complement factor H; 1.39 [1.10-1.76] in longitudinal analysis and 1.31 [1.07-1.61] in prospective analysis). Mendelian randomization analysis suggested a potential causal association between CFB and carotid plaque. Inflammatory factors (CRP [C-reactive protein] and IL-6 [interleukin-6]) and microbial species (Ruminococcus bromii, Roseburia hominis, Rothia mucilaginosa, Collinsella stercoris, Olsenella scatoligenes, and Bacteroides massiliensis) were significantly associated with both APACPs and carotid plaque (P<0.05). For example, butyrate-producing bacterium R bromii was inversely associated with CFB and carotid plaque (odds ratios [95% CI], 0.83 [0.79-0.88]) and may mediate the CFB-carotid plaque association (proportion mediated, 13.5%; P=0.005). Microbial risk score (weighted sum of selected microbial species; proportion mediated, 42.6%; P<0.001) and total immune factors (the sum of all inflammatory factors; proportion mediated, 19.0%; P=0.002) mediated the association between Total-APACPs (sum of standardized carotid plaque-related APACPs [C3, CFB, and CFH]) and carotid plaque.
CONCLUSIONS: Our study showed a negative association between the AP and carotid plaque in a longitudinal cohort. Gut microbiota and inflammatory biomarkers may provide mechanistic insights into the association between the AP and atherosclerosis. Our findings pave the way for the development of new therapeutic targets for atherosclerosis.},
            }
          
            RevDate: 2025-10-30
CmpDate: 2025-10-30
          
Detection of antimicrobial peptides from fecal samples of FMT donors using deep learning.
Frontiers in veterinary science, 12:1689589.
            INTRODUCTION: Antimicrobial peptides (AMPs) represent a class of short peptides that are widely distributed in organisms and are regarded as an effective means to tackle bacterial resistance, potentially functioning as substitutes for onventional antibiotics.
METHODS: We employed metagenomics in combination with deep learning to mine AMPs from the 120 fecal microbiota transplantation (FMT) donor metagenome. Subsequently, a comprehensive analysis of the candidate AMPs was conducted through metaproteomic cross-validation, solubility analysis, cross-validation with other prediction tools, correlation analysis, and molecular dynamics simulations. Finally, four candidate AMPs were selected for chemical synthesis, and experimental validation identified two with broad-spectrum antimicrobial activity. Furthermore, molecular docking was utilized to further analyze the antimicrobial mechanisms of the candidate AMPs.
RESULTS: Our approach successfully predicted 2,820,488 potential AMPs. After a comprehensive analysis, four candidate AMPs were selected for synthesis, two of which exhibited broad-spectrum antimicrobial activity. Molecular docking provided further insight into the binding mechanisms of these peptides.
DISCUSSION: This study demonstrates the feasibility of discovering functional AMPs from the human fecal microbiome using computational and experimental approaches, highlights the potential of mining novel AMPs from the fecal microbiome, and provides new insights into the therapeutic mechanisms of FMT.
          
Additional Links: PMID-41164228
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41164228,
            year = {2025},
            author = {Wei, S and Yin, H and Hu, X and Chi, Y and Zhang, L and Zhang, B and Qian, K and Xu, W},
            title = {Detection of antimicrobial peptides from fecal samples of FMT donors using deep learning.},
            journal = {Frontiers in veterinary science},
            volume = {12},
            number = {},
            pages = {1689589},
            pmid = {41164228},
            issn = {2297-1769},
            abstract = {INTRODUCTION: Antimicrobial peptides (AMPs) represent a class of short peptides that are widely distributed in organisms and are regarded as an effective means to tackle bacterial resistance, potentially functioning as substitutes for onventional antibiotics.
METHODS: We employed metagenomics in combination with deep learning to mine AMPs from the 120 fecal microbiota transplantation (FMT) donor metagenome. Subsequently, a comprehensive analysis of the candidate AMPs was conducted through metaproteomic cross-validation, solubility analysis, cross-validation with other prediction tools, correlation analysis, and molecular dynamics simulations. Finally, four candidate AMPs were selected for chemical synthesis, and experimental validation identified two with broad-spectrum antimicrobial activity. Furthermore, molecular docking was utilized to further analyze the antimicrobial mechanisms of the candidate AMPs.
RESULTS: Our approach successfully predicted 2,820,488 potential AMPs. After a comprehensive analysis, four candidate AMPs were selected for synthesis, two of which exhibited broad-spectrum antimicrobial activity. Molecular docking provided further insight into the binding mechanisms of these peptides.
DISCUSSION: This study demonstrates the feasibility of discovering functional AMPs from the human fecal microbiome using computational and experimental approaches, highlights the potential of mining novel AMPs from the fecal microbiome, and provides new insights into the therapeutic mechanisms of FMT.},
            }
          
            RevDate: 2025-10-30
CmpDate: 2025-10-30
          
Acute intracranial EBV and CMV infections after chemoimmunotherapy for EBV-associated nasopharyngeal carcinoma: a case report and literature review.
Frontiers in oncology, 15:1608787.
A 36-year-old male patient presented to our hospital complaining of epistaxis for 3 months and persistent headaches with facial numbness for 3 days. After a series of exams, he was diagnosed with nasopharyngeal carcinoma (T4N2M1, stage IVB, AJCC 8th), with a biopsy consistent with non-keratinizing squamous cell carcinoma, and received a combination therapy of gemcitabine, cisplatin, and tislelizumab. Following the first dose, headaches and facial numbness were relieved. On the third day, however, he developed recurrent fever, with a peak body temperature of 39.2 °C, and developed severe paroxysmal stabbing pain in the right frontal region suggestive of trigeminal neuralgia, along with numbness on the right face. We considered multiple possibilities and provided symptomatic treatments, but with poor efficacy. Subsequently, given the emergence of prominent neurological symptoms and fever, we proceeded with a lumbar puncture for cerebrospinal fluid (CSF) analysis. Metagenomic next-generation sequencing (mNGS) of CSF detected the presence of Epstein-Barr virus (EBV) and cytomegalovirus (CMV), and acute intracranial viral infections were considered. After treatment with ganciclovir, the patient's body temperature returned to normal, and headaches and facial numbness were alleviated, and no pathogens were detected in a follow-up examination. We report a case of trigeminal neuralgia emerging post-chemoimmunotherapy, accompanied by CSF positivity for EBV and CMV, where antiviral intervention with ganciclovir resulted in significant symptom alleviation.
Additional Links: PMID-41164129
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41164129,
            year = {2025},
            author = {Zhang, Z and Lin, J and Song, X and Yi, X and Zhou, H and Xu, Z},
            title = {Acute intracranial EBV and CMV infections after chemoimmunotherapy for EBV-associated nasopharyngeal carcinoma: a case report and literature review.},
            journal = {Frontiers in oncology},
            volume = {15},
            number = {},
            pages = {1608787},
            pmid = {41164129},
            issn = {2234-943X},
            abstract = {A 36-year-old male patient presented to our hospital complaining of epistaxis for 3 months and persistent headaches with facial numbness for 3 days. After a series of exams, he was diagnosed with nasopharyngeal carcinoma (T4N2M1, stage IVB, AJCC 8th), with a biopsy consistent with non-keratinizing squamous cell carcinoma, and received a combination therapy of gemcitabine, cisplatin, and tislelizumab. Following the first dose, headaches and facial numbness were relieved. On the third day, however, he developed recurrent fever, with a peak body temperature of 39.2 °C, and developed severe paroxysmal stabbing pain in the right frontal region suggestive of trigeminal neuralgia, along with numbness on the right face. We considered multiple possibilities and provided symptomatic treatments, but with poor efficacy. Subsequently, given the emergence of prominent neurological symptoms and fever, we proceeded with a lumbar puncture for cerebrospinal fluid (CSF) analysis. Metagenomic next-generation sequencing (mNGS) of CSF detected the presence of Epstein-Barr virus (EBV) and cytomegalovirus (CMV), and acute intracranial viral infections were considered. After treatment with ganciclovir, the patient's body temperature returned to normal, and headaches and facial numbness were alleviated, and no pathogens were detected in a follow-up examination. We report a case of trigeminal neuralgia emerging post-chemoimmunotherapy, accompanied by CSF positivity for EBV and CMV, where antiviral intervention with ganciclovir resulted in significant symptom alleviation.},
            }
          
            RevDate: 2025-10-30
CmpDate: 2025-10-30
          
Probe-based metagenomic pathogen detection: advancing laboratory capacity for complex diagnosis.
Frontiers in microbiology, 16:1656831.
Probe-based pathogen enrichment, followed by NGS, is a promising tool for complex diagnosis, overcoming traditional challenges of shotgun metagenomics, namely small microbial/human genetic material ratio and demanding computational resources. Here, we assessed the combined detection performance of two Illumina probe-based panels, the Respiratory and the Urinary Pathogen ID panels (RPIP and UPIP), using 99 clinical samples of 15 different matrices (e.g., cerebrospinal fluid, plasma, serum, urine, swabs, biopsies, etc.) available from Portuguese National Reference Laboratories. This sample set involved 114 "PCR-positive hits" (Ct values range of 9.7-41.3; median of 28.4) for 52 non-redundant human pathogens. For a more detailed bioinformatics assessment, as a complement of the Illumina turnkey solution (Explify), we applied an extended version of our INSaFLU-TELEVIR(+) metagenomics pipeline. Whereas Explify analyses resulted in an initial detection frequency of 73.7% (84/114), the subsequent application of INSaFLU-TELEVIR(+), including taxonomic classification followed by confirmatory read mapping, enabled an overall detection proportion of 79.8% (91/114) of the PCR-positive hits. This translated into a detection rate increment from 54.3% (19/35) to 65.7% (23/35) for bacteria, and from 85.3% (58/68) to 89.7% (61/68) for viruses. The implemented workflow was also very satisfactory for samples with qPCR Ct values above 30, with an overall detection frequency of 71.8% (28/39) when compared with the 92.0% (46/50) observed for those with Ct ≤ 30. In summary, this study validated and established a pioneering approach at the Portuguese National Institute of Health to support clinicians in complex diagnosis, contributing to advance diagnostic capabilities toward a more informed clinical decision and potential improvement of infectious disease outcomes.
Additional Links: PMID-41164002
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41164002,
            year = {2025},
            author = {Ferreira, R and Coelho, L and Santos, JD and Sobral, D and Isidro, J and Mixão, V and Pinto, M and Nunes, A and Borrego, MJ and Lopo, S and Oleastro, M and Sousa, R and Palminha, P and VerÃssimo, C and Gargaté, MJ and Guiomar, R and Cordeiro, R and Macedo, R and Bajanca-Lavado, P and Paixão, P and Duarte, S and Vieira, L and Borges, V and Gomes, JP},
            title = {Probe-based metagenomic pathogen detection: advancing laboratory capacity for complex diagnosis.},
            journal = {Frontiers in microbiology},
            volume = {16},
            number = {},
            pages = {1656831},
            pmid = {41164002},
            issn = {1664-302X},
            abstract = {Probe-based pathogen enrichment, followed by NGS, is a promising tool for complex diagnosis, overcoming traditional challenges of shotgun metagenomics, namely small microbial/human genetic material ratio and demanding computational resources. Here, we assessed the combined detection performance of two Illumina probe-based panels, the Respiratory and the Urinary Pathogen ID panels (RPIP and UPIP), using 99 clinical samples of 15 different matrices (e.g., cerebrospinal fluid, plasma, serum, urine, swabs, biopsies, etc.) available from Portuguese National Reference Laboratories. This sample set involved 114 "PCR-positive hits" (Ct values range of 9.7-41.3; median of 28.4) for 52 non-redundant human pathogens. For a more detailed bioinformatics assessment, as a complement of the Illumina turnkey solution (Explify), we applied an extended version of our INSaFLU-TELEVIR(+) metagenomics pipeline. Whereas Explify analyses resulted in an initial detection frequency of 73.7% (84/114), the subsequent application of INSaFLU-TELEVIR(+), including taxonomic classification followed by confirmatory read mapping, enabled an overall detection proportion of 79.8% (91/114) of the PCR-positive hits. This translated into a detection rate increment from 54.3% (19/35) to 65.7% (23/35) for bacteria, and from 85.3% (58/68) to 89.7% (61/68) for viruses. The implemented workflow was also very satisfactory for samples with qPCR Ct values above 30, with an overall detection frequency of 71.8% (28/39) when compared with the 92.0% (46/50) observed for those with Ct ≤ 30. In summary, this study validated and established a pioneering approach at the Portuguese National Institute of Health to support clinicians in complex diagnosis, contributing to advance diagnostic capabilities toward a more informed clinical decision and potential improvement of infectious disease outcomes.},
            }
          
            RevDate: 2025-10-30
CmpDate: 2025-10-30
          
Comparison of gut viral communities between autism spectrum disorder and healthy children.
Frontiers in cellular and infection microbiology, 15:1660970.
            INTRODUCTION: Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder, which brings a great burden to the family and society. Gut microbiota is considered to be an important factor in ASD that easily affects function and development of the immune, metabolic, and nervous systems. However, most available studies have mainly focused on the altered gut bacteria, our knowledge of gut viruses in ASD children remains limited.
METHODS: In this study, we collected fecal samples from ASD children and healthy controls, then analyzed and compared the differences of the gut viral communities between the two groups by viral metagenomic techniques.
RESULTS: The alpha diversity of the ASD virome was lower than that of the healthy virome, and the beta diversity had a significant difference between ASD and healthy children. Podoviridae accounted for the highest proportion of viruses in ASD patients, while Alphaflexiviridae was dominant in healthy controls. There was a statistical difference in the abundance of Microviridae between the two groups. Additionally, human astrovirus, picobirnavirus, and norovirus were detected by phylogenetic analysis.
DISCUSSION: This study revealed that alpha diversity was reduced in children with ASD, and different compositions in gut viral communities were observed between ASD patients and healthy controls. Changes in viral diversity and composition deepen our understanding of the differences in the gut viral communities between ASD and healthy children, and also provides a perspective for further exploration of viruses related to ASD children.
          
Additional Links: PMID-41163852
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41163852,
            year = {2025},
            author = {Yuan, M and Wang, Q and Lu, Y and Xu, P and Pan, C and Zhang, W and Lu, H},
            title = {Comparison of gut viral communities between autism spectrum disorder and healthy children.},
            journal = {Frontiers in cellular and infection microbiology},
            volume = {15},
            number = {},
            pages = {1660970},
            pmid = {41163852},
            issn = {2235-2988},
            mesh = {Humans ; *Autism Spectrum Disorder/virology ; Feces/virology ; *Gastrointestinal Microbiome ; Child ; Phylogeny ; *Viruses/classification/genetics/isolation & purification ; Male ; *Virome ; Female ; Metagenomics ; Child, Preschool ; Case-Control Studies ; },
            abstract = {INTRODUCTION: Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder, which brings a great burden to the family and society. Gut microbiota is considered to be an important factor in ASD that easily affects function and development of the immune, metabolic, and nervous systems. However, most available studies have mainly focused on the altered gut bacteria, our knowledge of gut viruses in ASD children remains limited.
METHODS: In this study, we collected fecal samples from ASD children and healthy controls, then analyzed and compared the differences of the gut viral communities between the two groups by viral metagenomic techniques.
RESULTS: The alpha diversity of the ASD virome was lower than that of the healthy virome, and the beta diversity had a significant difference between ASD and healthy children. Podoviridae accounted for the highest proportion of viruses in ASD patients, while Alphaflexiviridae was dominant in healthy controls. There was a statistical difference in the abundance of Microviridae between the two groups. Additionally, human astrovirus, picobirnavirus, and norovirus were detected by phylogenetic analysis.
DISCUSSION: This study revealed that alpha diversity was reduced in children with ASD, and different compositions in gut viral communities were observed between ASD patients and healthy controls. Changes in viral diversity and composition deepen our understanding of the differences in the gut viral communities between ASD and healthy children, and also provides a perspective for further exploration of viruses related to ASD children.},
            }
          
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Humans
*Autism Spectrum Disorder/virology
Feces/virology
*Gastrointestinal Microbiome
Child
Phylogeny
*Viruses/classification/genetics/isolation & purification
Male
*Virome
Female
Metagenomics
Child, Preschool
Case-Control Studies
          
            RevDate: 2025-10-30
CmpDate: 2025-10-30
          
Virome of canine lymph nodes: identification of viruses with zoonotic potential.
Virology journal, 22(1):350.
            BACKGROUND: Zoonotic infectious diseases have significantly impacted global public health, as exemplified by the COVID-19 pandemic that triggered an unprecedented worldwide crisis with millions of infections. Among animals closely associated with humans, canines occupy a prominent position due to their extensive integration into human daily life. Consequently, investigating the virome of canines in close contact with humans holds significant scientific and public health implications.
RESULTS: This study selected lymph node tissues from 24 dogs in close contact with humans from Shanghai and Henan, specifically collecting submandibular lymph nodes and carefully removing surrounding fat and connective tissues. Through comprehensive metagenomic analysis, we assembled 17 complete viral genomes spanning 6 viral families, including Adenoviridae (n = 1), Paramyxoviridae (n = 1), Polyomaviridae (n = 1), Parvoviridae (n = 7), Circoviridae (n = 6), and Genomoviridae (n = 1). Phylogenetic analysis of these dominant viruses elucidated the evolutionary relationships between the assembled viral sequences in this study and known reference viruses. Notably, we discovered a novel virus belonging to the Genomoviridae family.
CONCLUSION: This research not only elucidates the remarkable diversity of the virome within canine lymph node tissues but also employs phylogenetic analysis to delineate the evolutionary relationships between these viruses and previously documented strains. Notably, this study represents the first identification of parvoviruses and circoviruses in canine lymph nodes that exhibit high sequence homology with human viral strains, suggesting that these canine-derived and human-associated viruses may have diverged from a common ancestor.
          
Additional Links: PMID-41163226
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41163226,
            year = {2025},
            author = {Huang, S and Chen, Y and Lu, X and Ji, L and Shen, Q and Yang, S and Liu, Y and Wang, X and Wu, P and Yang, H and Shan, T and Zhang, W},
            title = {Virome of canine lymph nodes: identification of viruses with zoonotic potential.},
            journal = {Virology journal},
            volume = {22},
            number = {1},
            pages = {350},
            pmid = {41163226},
            issn = {1743-422X},
            support = {Nos. 2023YFD1801300 and 2022YFC2603801//National Key Research and Development Programs of China/ ; no. 82341106//National Natural Science Foundation of China/ ; },
            mesh = {Dogs ; Animals ; *Lymph Nodes/virology ; Phylogeny ; *Virome ; *Zoonoses/virology ; Genome, Viral ; China ; Humans ; *Viruses/genetics/classification/isolation & purification ; *Dog Diseases/virology ; Metagenomics ; *Viral Zoonoses/virology/transmission ; },
            abstract = {BACKGROUND: Zoonotic infectious diseases have significantly impacted global public health, as exemplified by the COVID-19 pandemic that triggered an unprecedented worldwide crisis with millions of infections. Among animals closely associated with humans, canines occupy a prominent position due to their extensive integration into human daily life. Consequently, investigating the virome of canines in close contact with humans holds significant scientific and public health implications.
RESULTS: This study selected lymph node tissues from 24 dogs in close contact with humans from Shanghai and Henan, specifically collecting submandibular lymph nodes and carefully removing surrounding fat and connective tissues. Through comprehensive metagenomic analysis, we assembled 17 complete viral genomes spanning 6 viral families, including Adenoviridae (n = 1), Paramyxoviridae (n = 1), Polyomaviridae (n = 1), Parvoviridae (n = 7), Circoviridae (n = 6), and Genomoviridae (n = 1). Phylogenetic analysis of these dominant viruses elucidated the evolutionary relationships between the assembled viral sequences in this study and known reference viruses. Notably, we discovered a novel virus belonging to the Genomoviridae family.
CONCLUSION: This research not only elucidates the remarkable diversity of the virome within canine lymph node tissues but also employs phylogenetic analysis to delineate the evolutionary relationships between these viruses and previously documented strains. Notably, this study represents the first identification of parvoviruses and circoviruses in canine lymph nodes that exhibit high sequence homology with human viral strains, suggesting that these canine-derived and human-associated viruses may have diverged from a common ancestor.},
            }
          
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Dogs
Animals
*Lymph Nodes/virology
Phylogeny
*Virome
*Zoonoses/virology
Genome, Viral
China
Humans
*Viruses/genetics/classification/isolation & purification
*Dog Diseases/virology
Metagenomics
*Viral Zoonoses/virology/transmission
          
            RevDate: 2025-10-30
CmpDate: 2025-10-30
          
Peculiarities of vaginal microbiota in perimenopausal and postmenopausal women with type 2 diabetes mellitus.
Annals of clinical microbiology and antimicrobials, 24(1):59.
            BACKGROUND: The changes in the vaginal microbiota and potential dysbiosis adjustment strategies in diabetic patients remain inconclusive. This study was designed to investigate the impact of Type 2 diabetes mellitus (T2DM) on the ecological dynamics of the vaginal microbiota in perimenopausal and postmenopausal women, with a focus on microbial community structure and functional homeostasis.
METHODS: Vaginal secretion samples from 22 T2DM patients (DM group) and 23 healthy controls (CT group) under perimenopausal and postmenopausal conditions were analyzed via metagenomic sequencing. Alpha diversity (Observe, ACE, Shannon-Weaver, Gini-Simpson indices) and beta diversity (PCoA, NMDS) were assessed. Taxonomic profiling, LEfSe analysis, and co-occurrence network construction were performed to identify differential species and microbial interactions. Neutral community modeling evaluated stochastic vs. deterministic assembly processes.
RESULTS: No significant differences were observed in age (62.22 ± 5.74 vs. 58.23 ± 7.55, p = 0.052) or perimenopausal/ postmenopausal status (3/19 vs. 5/18, p = 0.748) between the DM and CT groups. The DM group exhibited significantly higher alpha diversity (p < 0.05) and distinct beta diversity clustering (p < 0.05), marked by reduced Lactobacillus relative abundance (28.7% in CT vs. 6.3% in DM) and increased abundance of opportunistic pathogenic genera (Klebsiella, Gardnerella, Staphylococcus). LEfSe identified Firmicutes as CT biomarkers, while the relative abundance of Bacteroidetes and Prevotella increased in DM group. Both fasting blood glucose and HbA1c levels significantly influenced the relative abundance of vaginal Lactobacillus crispatus, Lactobacillus gasseri, and Lactobacillus iners, showing a significant negative correlation. Co-occurrence networks revealed greater complexity and more integrated in the DM group (more triangles, lower modularity, higher node degrees, higher clustering coefficients, p < 0.0001). Neutral modeling indicated stochastic assembly (R² >0.5), with Lactobacillus species and opportunistic pathogens deviating from neutral predictions in DM.
CONCLUSION: Under perimenopausal and postmenopausal conditions, T2DM disrupts vaginal microbiota homeostasis by diminishing protective Lactobacillus populations and promoting pathogen proliferation.
          
Additional Links: PMID-41163171
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41163171,
            year = {2025},
            author = {Qiu, X and Zhang, M and Zhang, L and Chen, H and Gao, M and Li, W and Yu, Z and Hou, Z},
            title = {Peculiarities of vaginal microbiota in perimenopausal and postmenopausal women with type 2 diabetes mellitus.},
            journal = {Annals of clinical microbiology and antimicrobials},
            volume = {24},
            number = {1},
            pages = {59},
            pmid = {41163171},
            issn = {1476-0711},
            support = {H2020206490//Natural Science Foundation of Hebei Province,China/ ; 20230095//Medical Science Research Subject Plan of Hebei/ ; PD2023002//Clinical Medicine Postdoctoral Research Support Program of Hebei Medical University/ ; B2024003014//Hebei Province Yanzhao Golden Talent Program/ ; 2024YFC2510600//Key R&D Program of the China Ministry of Science and Technology/ ; },
            mesh = {Humans ; Female ; *Vagina/microbiology ; *Diabetes Mellitus, Type 2/microbiology ; Middle Aged ; *Postmenopause ; *Microbiota ; *Perimenopause ; Aged ; *Bacteria/classification/genetics/isolation & purification ; Metagenomics ; Dysbiosis/microbiology ; },
            abstract = {BACKGROUND: The changes in the vaginal microbiota and potential dysbiosis adjustment strategies in diabetic patients remain inconclusive. This study was designed to investigate the impact of Type 2 diabetes mellitus (T2DM) on the ecological dynamics of the vaginal microbiota in perimenopausal and postmenopausal women, with a focus on microbial community structure and functional homeostasis.
METHODS: Vaginal secretion samples from 22 T2DM patients (DM group) and 23 healthy controls (CT group) under perimenopausal and postmenopausal conditions were analyzed via metagenomic sequencing. Alpha diversity (Observe, ACE, Shannon-Weaver, Gini-Simpson indices) and beta diversity (PCoA, NMDS) were assessed. Taxonomic profiling, LEfSe analysis, and co-occurrence network construction were performed to identify differential species and microbial interactions. Neutral community modeling evaluated stochastic vs. deterministic assembly processes.
RESULTS: No significant differences were observed in age (62.22 ± 5.74 vs. 58.23 ± 7.55, p = 0.052) or perimenopausal/ postmenopausal status (3/19 vs. 5/18, p = 0.748) between the DM and CT groups. The DM group exhibited significantly higher alpha diversity (p < 0.05) and distinct beta diversity clustering (p < 0.05), marked by reduced Lactobacillus relative abundance (28.7% in CT vs. 6.3% in DM) and increased abundance of opportunistic pathogenic genera (Klebsiella, Gardnerella, Staphylococcus). LEfSe identified Firmicutes as CT biomarkers, while the relative abundance of Bacteroidetes and Prevotella increased in DM group. Both fasting blood glucose and HbA1c levels significantly influenced the relative abundance of vaginal Lactobacillus crispatus, Lactobacillus gasseri, and Lactobacillus iners, showing a significant negative correlation. Co-occurrence networks revealed greater complexity and more integrated in the DM group (more triangles, lower modularity, higher node degrees, higher clustering coefficients, p < 0.0001). Neutral modeling indicated stochastic assembly (R² >0.5), with Lactobacillus species and opportunistic pathogens deviating from neutral predictions in DM.
CONCLUSION: Under perimenopausal and postmenopausal conditions, T2DM disrupts vaginal microbiota homeostasis by diminishing protective Lactobacillus populations and promoting pathogen proliferation.},
            }
          
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Humans
Female
*Vagina/microbiology
*Diabetes Mellitus, Type 2/microbiology
Middle Aged
*Postmenopause
*Microbiota
*Perimenopause
Aged
*Bacteria/classification/genetics/isolation & purification
Metagenomics
Dysbiosis/microbiology
          
            RevDate: 2025-10-30
CmpDate: 2025-10-30
          
Comparative genomic analysis of a metagenome-assembled genome reveals distinctive symbiotic traits in a Mucoromycotina fine root endophyte arbuscular mycorrhizal fungus.
BMC genomics, 26(1):967.
            BACKGROUND: Recent evidence shows that arbuscular mycorrhizal (AM) symbiosis, as defined by the presence of arbuscules, is established by two distinct fungal groups, with the distinctive 'fine root endophyte' morphotype formed by fungi from the subphylum Mucoromycotina rather than the sub-phylum Glomeromycotina. While FRE forming fungi are globally distributed, there is currently no understanding of the genomic basis for their symbiosis or how this symbiosis compares to that of other mycorrhizal symbionts.
RESULTS: We used culture-independent metagenome sequencing to assemble and characterise the metagenome-assembled genome (MAG) of a putative arbuscule forming fine root endophyte, which we show belonged to the family Planticonsortiaceae within the order Densosporales. The MAG shares key traits with Glomeromycotina fungi, which indicate obligate biotrophy, including the absence of fatty acid and thiamine biosynthesis pathways, limited enzymatic abilities to degrade plant cell walls, and a high abundance of calcium transporters. In contrast to Glomeromycotina fungi, it exhibits a higher capacity for degradation of microbial cell walls, a complete cellulose degradation pathway, low abundances of copper, nitrate and ammonium transporters, and a complete pathway for vitamin B6 biosynthesis.
CONCLUSION: These differences, particularly those typically associated with saprotrophic functions, highlight the potential for contrasting interactions between Mucoromycotina and Glomeromycotina fungi with their host plant and the environment. In turn, this could support niche differentiation in resource acquisition and complementary ecological functions.
          
Additional Links: PMID-41163130
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41163130,
            year = {2025},
            author = {Cole, J and Raguideau, S and Abbaszadeh-Dahaji, P and Hilton, S and Muscatt, G and Mushinski, RM and Nilsson, RH and Ryan, MH and Quince, C and Bending, GD},
            title = {Comparative genomic analysis of a metagenome-assembled genome reveals distinctive symbiotic traits in a Mucoromycotina fine root endophyte arbuscular mycorrhizal fungus.},
            journal = {BMC genomics},
            volume = {26},
            number = {1},
            pages = {967},
            pmid = {41163130},
            issn = {1471-2164},
            support = {BB/T00746X/1/BB_/Biotechnology and Biological Sciences Research Council/United Kingdom ; DP180103157//Australian Research Council/ ; DP180103157//Australian Research Council/ ; NE/S010270/1//Natural Environment Research Council/ ; NE/S010270/1//Natural Environment Research Council/ ; },
            mesh = {*Mycorrhizae/genetics/physiology ; *Symbiosis/genetics ; *Plant Roots/microbiology ; Phylogeny ; *Endophytes/genetics ; *Genomics ; *Metagenome ; *Genome, Fungal ; Glomeromycota/genetics ; },
            abstract = {BACKGROUND: Recent evidence shows that arbuscular mycorrhizal (AM) symbiosis, as defined by the presence of arbuscules, is established by two distinct fungal groups, with the distinctive 'fine root endophyte' morphotype formed by fungi from the subphylum Mucoromycotina rather than the sub-phylum Glomeromycotina. While FRE forming fungi are globally distributed, there is currently no understanding of the genomic basis for their symbiosis or how this symbiosis compares to that of other mycorrhizal symbionts.
RESULTS: We used culture-independent metagenome sequencing to assemble and characterise the metagenome-assembled genome (MAG) of a putative arbuscule forming fine root endophyte, which we show belonged to the family Planticonsortiaceae within the order Densosporales. The MAG shares key traits with Glomeromycotina fungi, which indicate obligate biotrophy, including the absence of fatty acid and thiamine biosynthesis pathways, limited enzymatic abilities to degrade plant cell walls, and a high abundance of calcium transporters. In contrast to Glomeromycotina fungi, it exhibits a higher capacity for degradation of microbial cell walls, a complete cellulose degradation pathway, low abundances of copper, nitrate and ammonium transporters, and a complete pathway for vitamin B6 biosynthesis.
CONCLUSION: These differences, particularly those typically associated with saprotrophic functions, highlight the potential for contrasting interactions between Mucoromycotina and Glomeromycotina fungi with their host plant and the environment. In turn, this could support niche differentiation in resource acquisition and complementary ecological functions.},
            }
          
MeSH Terms:
show MeSH Terms
hide MeSH Terms
*Mycorrhizae/genetics/physiology
*Symbiosis/genetics
*Plant Roots/microbiology
Phylogeny
*Endophytes/genetics
*Genomics
*Metagenome
*Genome, Fungal
Glomeromycota/genetics
          
            RevDate: 2025-10-30
CmpDate: 2025-10-30
          
Comprehensive metagenomic analysis of the giant panda's oral microbiome reveals distinct taxonomic and functional characteristics.
Animal microbiome, 7(1):114.
Additional Links: PMID-41163128
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41163128,
            year = {2025},
            author = {Xiao, LF and Li, Y and Lian, H and Liu, X and Wen, Y and Chen, X and Huang, W and Li, B and Luo, L and Wang, X and Tutt, C and Zheng, J and Wang, VY and Shao, NY},
            title = {Comprehensive metagenomic analysis of the giant panda's oral microbiome reveals distinct taxonomic and functional characteristics.},
            journal = {Animal microbiome},
            volume = {7},
            number = {1},
            pages = {114},
            pmid = {41163128},
            issn = {2524-4671},
            }
          
            RevDate: 2025-10-30
CmpDate: 2025-10-30
          
Metagenomic next-generation sequencing reveals respiratory flora distribution in COVID-19.
Scientific reports, 15(1):37813.
This retrospective study compared metagenomic next-generation sequencing (mNGS) and traditional culture for pathogen detection in 43 patients with lower respiratory tract infections (LRTI), including 34 COVID-19 cases (14 critical, 20 non-critical) and 9 non-COVID controls. mNGS demonstrated superior sensitivity (95.35% vs. 81.08%) and broader pathogen coverage, identifying 36.36% of bacteria and 74.07% of fungi detected by cultures. Concordance between methods was observed in 63% of cases. Severe COVID-19 patients exhibited reduced respiratory microbiota abundance, potentially linked to viral dominance or therapeutic interventions. Clinical outcomes correlated positively with inflammatory markers (procalcitonin/PCT, N-terminal pro-B-type natriuretic peptide/N-proBNP, neutrophils, lactate dehydrogenase/LDH, neutrophil-to-lymphocyte ratio/NLR) and negatively with lymphocytes, highlighting systemic inflammation's role in disease progression. While mNGS offers rapid, high-sensitivity pathogen profiling, limitations include small sample sizes, unresolved specificity concerns and unmeasured confounders. The study underscores mNGS as a promising tool for LRTI diagnosis in COVID-19, though larger prospective cohorts and standardized outcome metrics are needed to validate clinical utility, optimize interpretation, and address cost-effectiveness compared to conventional methods.
Additional Links: PMID-41162595
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41162595,
            year = {2025},
            author = {Wang, C and Yang, S and Liu, Q and Liu, H and Wang, H and Ma, S and Li, J and Cui, L},
            title = {Metagenomic next-generation sequencing reveals respiratory flora distribution in COVID-19.},
            journal = {Scientific reports},
            volume = {15},
            number = {1},
            pages = {37813},
            pmid = {41162595},
            issn = {2045-2322},
            support = {61771022, 62071011//National Natural Science Foundation of China/ ; 61771022, 62071011//National Natural Science Foundation of China/ ; 61771022, 62071011//National Natural Science Foundation of China/ ; 61771022, 62071011//National Natural Science Foundation of China/ ; 61771022, 62071011//National Natural Science Foundation of China/ ; 61771022, 62071011//National Natural Science Foundation of China/ ; 61771022, 62071011//National Natural Science Foundation of China/ ; 61771022, 62071011//National Natural Science Foundation of China/ ; },
            mesh = {Humans ; *COVID-19/microbiology/virology/diagnosis ; Middle Aged ; Male ; Female ; *Metagenomics/methods ; *High-Throughput Nucleotide Sequencing/methods ; Retrospective Studies ; Aged ; SARS-CoV-2/isolation & purification ; Adult ; *Respiratory Tract Infections/microbiology ; *Microbiota/genetics ; },
            abstract = {This retrospective study compared metagenomic next-generation sequencing (mNGS) and traditional culture for pathogen detection in 43 patients with lower respiratory tract infections (LRTI), including 34 COVID-19 cases (14 critical, 20 non-critical) and 9 non-COVID controls. mNGS demonstrated superior sensitivity (95.35% vs. 81.08%) and broader pathogen coverage, identifying 36.36% of bacteria and 74.07% of fungi detected by cultures. Concordance between methods was observed in 63% of cases. Severe COVID-19 patients exhibited reduced respiratory microbiota abundance, potentially linked to viral dominance or therapeutic interventions. Clinical outcomes correlated positively with inflammatory markers (procalcitonin/PCT, N-terminal pro-B-type natriuretic peptide/N-proBNP, neutrophils, lactate dehydrogenase/LDH, neutrophil-to-lymphocyte ratio/NLR) and negatively with lymphocytes, highlighting systemic inflammation's role in disease progression. While mNGS offers rapid, high-sensitivity pathogen profiling, limitations include small sample sizes, unresolved specificity concerns and unmeasured confounders. The study underscores mNGS as a promising tool for LRTI diagnosis in COVID-19, though larger prospective cohorts and standardized outcome metrics are needed to validate clinical utility, optimize interpretation, and address cost-effectiveness compared to conventional methods.},
            }
          
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Humans
*COVID-19/microbiology/virology/diagnosis
Middle Aged
Male
Female
*Metagenomics/methods
*High-Throughput Nucleotide Sequencing/methods
Retrospective Studies
Aged
SARS-CoV-2/isolation & purification
Adult
*Respiratory Tract Infections/microbiology
*Microbiota/genetics
          
            RevDate: 2025-10-30
CmpDate: 2025-10-30
          
Comprehensive multi omics explore the microbial function in metabolic pathway flow during altered diet.
NPJ science of food, 9(1):212.
High-protein diet (HPD) and high-fiber diet (HFiD) are two common types of diet, and the transition from HPD to HFiD frequently happens in people who perform diet control. Gut microbiota provide a bridge between diet and health. However, most of the research left out the metabolic landscape change and gut microbial influence under this kind of altered diet. Here, we examined gut microbiome and metabolites change using multi-omics (16S rRNA gene sequencing, shotgun metagenomics, LC-MS/MS metabolomics), and machine-learning methods were introduced to capture the response of gut microbiota to altered diet and associate the variable metabolites and microbial factors. The results suggest that the conversion from HPD to HFiD improves the gut microbial diversity and promotes the pathways of tryptophan, galactose, fructose, and mannose metabolism, which are associated with different gut microbiota and special metabolites. Among them, Faecalibacterium rodentium and Akkermansia muciniphila indicate potential roles in the multi-metabolism. Although these findings are exploratory and hypothesis-generating, they provide a foundation for future mechanistic investigations and emphasize the importance of diverse diets.
Additional Links: PMID-41162426
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41162426,
            year = {2025},
            author = {Zhao, Y and Yao, S and Umar, A and Huang, J and Chen, S and Yu, Z},
            title = {Comprehensive multi omics explore the microbial function in metabolic pathway flow during altered diet.},
            journal = {NPJ science of food},
            volume = {9},
            number = {1},
            pages = {212},
            pmid = {41162426},
            issn = {2396-8370},
            support = {82270564//National Natural Science Foundation of China/ ; 32170071//National Natural Science Foundation of China/ ; 2022JJ30916//Natural Science Foundation of Hunan Province/ ; 2022M713521//China Postdoctoral Science Foundation/ ; 2023CXQD059//Central South University Innovation-Driven Research Programme/ ; },
            abstract = {High-protein diet (HPD) and high-fiber diet (HFiD) are two common types of diet, and the transition from HPD to HFiD frequently happens in people who perform diet control. Gut microbiota provide a bridge between diet and health. However, most of the research left out the metabolic landscape change and gut microbial influence under this kind of altered diet. Here, we examined gut microbiome and metabolites change using multi-omics (16S rRNA gene sequencing, shotgun metagenomics, LC-MS/MS metabolomics), and machine-learning methods were introduced to capture the response of gut microbiota to altered diet and associate the variable metabolites and microbial factors. The results suggest that the conversion from HPD to HFiD improves the gut microbial diversity and promotes the pathways of tryptophan, galactose, fructose, and mannose metabolism, which are associated with different gut microbiota and special metabolites. Among them, Faecalibacterium rodentium and Akkermansia muciniphila indicate potential roles in the multi-metabolism. Although these findings are exploratory and hypothesis-generating, they provide a foundation for future mechanistic investigations and emphasize the importance of diverse diets.},
            }
          
            RevDate: 2025-10-29
CmpDate: 2025-10-29
          
Microbiome Profiling of Pretreated Human Breast Milk Using Shotgun Metagenomic Sequencing.
Journal of microbiology and biotechnology, 35:e2506012 pii:jmb.2506.06012.
This study explored the metagenomic sequencing methodology for analyzing the breast milk microbiome and elucidated its composition. Twenty-two breast milk samples were collected from 11 healthy lactating women. By optimizing microbial cell wall disruption parameters and developing a nucleic acid extraction method, microbial DNA/RNA libraries were constructed and subjected to metagenomic next-generation sequencing (mNGS), microbial standards spiked into breast milk at serial dilutions served to validate the method's reliability. The sequencing data underwent rigorous quality control and classification using the Kraken2 software and a self-generated database. The breast milk microbiome was found to comprise 21 phyla, 234 genera, and 487 species, with Firmicutes and Proteobacteria being the dominant phyla. At the genus level, Staphylococcus and Streptococcus were the most abundant, while at the species level, Staphylococcus aureus, Streptococcus bradystis, and Staphylococcus epidermidis were the most prevalent. The microbial profiles of the left and right breast milk samples were consistent at the phylum, genus, and species levels. Besides common bacteria, diverse viral, eukaryotic, and archaeal sequences were also detected. Functional profiling revealed that the "lactose and galactose degradation I" pathway accumulated the highest read count, whereas the L-valine biosynthesis pathway was detected most frequently. This study provides a comprehensive understanding of the healthy breast milk microbiome, highlighting the presence of specific flora colonization and the distinct yet correlated microbial environments in bilateral breast milk, laying the groundwork for future research into the interactions between breast milk microbiota and maternal and infant health outcomes.
Additional Links: PMID-41162178
Publisher:
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41162178,
            year = {2025},
            author = {Zhang, Q and Zhang, Y and Zhu, J and Gao, Y and Zeng, W and Qi, H},
            title = {Microbiome Profiling of Pretreated Human Breast Milk Using Shotgun Metagenomic Sequencing.},
            journal = {Journal of microbiology and biotechnology},
            volume = {35},
            number = {},
            pages = {e2506012},
            doi = {10.4014/jmb.2506.06012},
            pmid = {41162178},
            issn = {1738-8872},
            mesh = {*Milk, Human/microbiology ; Humans ; Female ; *Microbiota/genetics ; *Metagenomics/methods ; High-Throughput Nucleotide Sequencing/methods ; *Bacteria/classification/genetics/isolation & purification ; Adult ; Metagenome ; Sequence Analysis, DNA ; Archaea/genetics/classification/isolation & purification ; Phylogeny ; DNA, Bacterial/genetics ; },
            abstract = {This study explored the metagenomic sequencing methodology for analyzing the breast milk microbiome and elucidated its composition. Twenty-two breast milk samples were collected from 11 healthy lactating women. By optimizing microbial cell wall disruption parameters and developing a nucleic acid extraction method, microbial DNA/RNA libraries were constructed and subjected to metagenomic next-generation sequencing (mNGS), microbial standards spiked into breast milk at serial dilutions served to validate the method's reliability. The sequencing data underwent rigorous quality control and classification using the Kraken2 software and a self-generated database. The breast milk microbiome was found to comprise 21 phyla, 234 genera, and 487 species, with Firmicutes and Proteobacteria being the dominant phyla. At the genus level, Staphylococcus and Streptococcus were the most abundant, while at the species level, Staphylococcus aureus, Streptococcus bradystis, and Staphylococcus epidermidis were the most prevalent. The microbial profiles of the left and right breast milk samples were consistent at the phylum, genus, and species levels. Besides common bacteria, diverse viral, eukaryotic, and archaeal sequences were also detected. Functional profiling revealed that the "lactose and galactose degradation I" pathway accumulated the highest read count, whereas the L-valine biosynthesis pathway was detected most frequently. This study provides a comprehensive understanding of the healthy breast milk microbiome, highlighting the presence of specific flora colonization and the distinct yet correlated microbial environments in bilateral breast milk, laying the groundwork for future research into the interactions between breast milk microbiota and maternal and infant health outcomes.},
            }
          
MeSH Terms:
show MeSH Terms
hide MeSH Terms
*Milk, Human/microbiology
Humans
Female
*Microbiota/genetics
*Metagenomics/methods
High-Throughput Nucleotide Sequencing/methods
*Bacteria/classification/genetics/isolation & purification
Adult
Metagenome
Sequence Analysis, DNA
Archaea/genetics/classification/isolation & purification
Phylogeny
DNA, Bacterial/genetics
          
            RevDate: 2025-10-29
CmpDate: 2025-10-29
          
Taxonomy is a foundation of marine science, and it is in trouble.
Advances in marine biology, 101:197-212.
This volume of Advances highlights not only the importance of marine benthic diversity in several regions of the world but also the impediments to describing this fauna. Taxonomy is the science of classifying organisms and is the bedrock of marine biodiversity research and conservation, yet it faces significant decline in Australia. Thus, it is critical that the scientific community understand why taxonomy is so important. This paper underscores the foundational role of taxonomy in marine ecology, using case studies that highlight its critical relevance to species management, conservation policy, and international trade regulation. Despite extensive research and funding, unresolved taxonomies continue to affect our management of ecologically and economically important taxa, including crown-of-thorns seastar (Acanthaster spp.), exploited sea cucumbers (Holothuroidea), and invasive Cassiopea jellyfish. These ambiguities hamper accurate species identification, hinder effective conservation strategies, and complicate regulatory listings under frameworks such as CITES and the IUCN Red List. Key challenges include dwindling taxonomic expertise, reduced funding, lack of university training, and limited career pathways, all of which contribute to Australia's inability to adequately explore and manage its vast marine jurisdiction. The paper advocates for immediate systemic reforms through a series of 11 recommendations related to revitalizing taxonomic education, fostering museum-university partnerships, supporting early career researchers, and investing in infrastructure to enable species discovery. Taxonomic rigor is also essential to validate modern tools like eDNA, metagenomics, and image-based analysis. Without it, efforts to safeguard biodiversity and to foster a sustainable blue economy risk failure.
Additional Links: PMID-41162143
Publisher:
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41162143,
            year = {2025},
            author = {Hutchings, P and Rowe, CE and Byrne, M and Przeslawski, R},
            title = {Taxonomy is a foundation of marine science, and it is in trouble.},
            journal = {Advances in marine biology},
            volume = {101},
            number = {},
            pages = {197-212},
            doi = {10.1016/bs.amb.2025.08.003},
            pmid = {41162143},
            issn = {2162-5875},
            mesh = {*Classification/methods ; Animals ; Conservation of Natural Resources ; *Aquatic Organisms/classification ; Biodiversity ; *Marine Biology/education ; Australia ; },
            abstract = {This volume of Advances highlights not only the importance of marine benthic diversity in several regions of the world but also the impediments to describing this fauna. Taxonomy is the science of classifying organisms and is the bedrock of marine biodiversity research and conservation, yet it faces significant decline in Australia. Thus, it is critical that the scientific community understand why taxonomy is so important. This paper underscores the foundational role of taxonomy in marine ecology, using case studies that highlight its critical relevance to species management, conservation policy, and international trade regulation. Despite extensive research and funding, unresolved taxonomies continue to affect our management of ecologically and economically important taxa, including crown-of-thorns seastar (Acanthaster spp.), exploited sea cucumbers (Holothuroidea), and invasive Cassiopea jellyfish. These ambiguities hamper accurate species identification, hinder effective conservation strategies, and complicate regulatory listings under frameworks such as CITES and the IUCN Red List. Key challenges include dwindling taxonomic expertise, reduced funding, lack of university training, and limited career pathways, all of which contribute to Australia's inability to adequately explore and manage its vast marine jurisdiction. The paper advocates for immediate systemic reforms through a series of 11 recommendations related to revitalizing taxonomic education, fostering museum-university partnerships, supporting early career researchers, and investing in infrastructure to enable species discovery. Taxonomic rigor is also essential to validate modern tools like eDNA, metagenomics, and image-based analysis. Without it, efforts to safeguard biodiversity and to foster a sustainable blue economy risk failure.},
            }
          
MeSH Terms:
show MeSH Terms
hide MeSH Terms
*Classification/methods
Animals
Conservation of Natural Resources
*Aquatic Organisms/classification
Biodiversity
*Marine Biology/education
Australia
          
            RevDate: 2025-10-29
CmpDate: 2025-10-29
          
Metagenomic next-generation sequencing unraveled the characteristic of lung microbiota in patients with checkpoint inhibitor pneumonitis: results from a prospective cohort study.
Journal for immunotherapy of cancer, 13(10): pii:jitc-2025-012444.
            BACKGROUND: Checkpoint inhibitor pneumonitis (CIP) is among the most lethal immune-related adverse events in patients with cancer receiving immunotherapy. This study aims to characterize the lung microbiome in patients with CIP and evaluate its diagnostic potential.
METHODS: In a prospective clinical trial (NCT06192303), bronchoalveolar lavage fluid samples (BALF) were obtained from 38 patients presenting clinical symptoms and radiographic evidence of pneumonitis following immunotherapy. The cohort included 14 cases of pure-type CIP (PT-CIP), 14 cases of mixed-type CIP, and 10 cases of pulmonary infection (PI). Metagenomic next-generation sequencing (mNGS) of BALF was employed to delineate the lung microbiota profiles. Using linear discriminant analysis effect size, we discerned characteristic microbiota among the three groups and further explored the associations of signature microbiota with host immune-inflammatory markers. Functional enrichment analysis revealed potential metabolic reprogramming and differences in biological functions between patients with CIP and PI. Finally, leveraging four machine-learning models, we ascertained the clinical value of BALF microbiota profiles in diagnosing CIP.
RESULTS: The composition of lung microbiota differed significantly between patients with CIP and PI. Microbial taxa, such as Porphyromonas, Candida, Peptostreptococcus, Treponema, and Talaromyces, exhibited distinct abundance patterns across the three groups. Correlation analysis revealed a significant positive relationship between Candida abundance and host immune-inflammatory markers, such as neutrophil-lymphocyte ratio, platelet-lymphocyte ratio, monocyte-lymphocyte ratio, and systemic immune inflammation index. In contrast, Porphyromonas demonstrated a significant negative correlation. Compared with the patients with PT-CIP, the lung microbiota of patients with PI exhibited a more diverse biological and metabolic profile. Additionally, machine learning models based on BALF microbiota profiles could accurately diagnose CIP, with the decision tree model showing the best diagnostic performance (area under the curve: 0.88).
CONCLUSIONS: Our study represents the unique characterization of the lung microbiota profiles across distinct CIP subtypes and establishes a diagnostic model for CIP based on the decision tree. These findings emphasize the value of BALF mNGS in improving the diagnosis of CIP.
          
Additional Links: PMID-41161821
Publisher:
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41161821,
            year = {2025},
            author = {Zhou, Z and Lin, JR and Li, J and Huang, X and Yuan, L and Huang, J and Xie, W and Lu, J and Huang, W and He, S and Yu, D and Zhang, H and Ge, X and Li, M and Mao, Y and Yang, F and Cui, ZK and Su, X and Zhan, Y and Liu, L},
            title = {Metagenomic next-generation sequencing unraveled the characteristic of lung microbiota in patients with checkpoint inhibitor pneumonitis: results from a prospective cohort study.},
            journal = {Journal for immunotherapy of cancer},
            volume = {13},
            number = {10},
            pages = {},
            doi = {10.1136/jitc-2025-012444},
            pmid = {41161821},
            issn = {2051-1426},
            mesh = {Humans ; Male ; Female ; Prospective Studies ; *High-Throughput Nucleotide Sequencing/methods ; *Immune Checkpoint Inhibitors/adverse effects/pharmacology ; Middle Aged ; *Metagenomics/methods ; *Microbiota ; *Pneumonia/chemically induced/microbiology/diagnosis ; Aged ; *Lung/microbiology ; Bronchoalveolar Lavage Fluid/microbiology ; },
            abstract = {BACKGROUND: Checkpoint inhibitor pneumonitis (CIP) is among the most lethal immune-related adverse events in patients with cancer receiving immunotherapy. This study aims to characterize the lung microbiome in patients with CIP and evaluate its diagnostic potential.
METHODS: In a prospective clinical trial (NCT06192303), bronchoalveolar lavage fluid samples (BALF) were obtained from 38 patients presenting clinical symptoms and radiographic evidence of pneumonitis following immunotherapy. The cohort included 14 cases of pure-type CIP (PT-CIP), 14 cases of mixed-type CIP, and 10 cases of pulmonary infection (PI). Metagenomic next-generation sequencing (mNGS) of BALF was employed to delineate the lung microbiota profiles. Using linear discriminant analysis effect size, we discerned characteristic microbiota among the three groups and further explored the associations of signature microbiota with host immune-inflammatory markers. Functional enrichment analysis revealed potential metabolic reprogramming and differences in biological functions between patients with CIP and PI. Finally, leveraging four machine-learning models, we ascertained the clinical value of BALF microbiota profiles in diagnosing CIP.
RESULTS: The composition of lung microbiota differed significantly between patients with CIP and PI. Microbial taxa, such as Porphyromonas, Candida, Peptostreptococcus, Treponema, and Talaromyces, exhibited distinct abundance patterns across the three groups. Correlation analysis revealed a significant positive relationship between Candida abundance and host immune-inflammatory markers, such as neutrophil-lymphocyte ratio, platelet-lymphocyte ratio, monocyte-lymphocyte ratio, and systemic immune inflammation index. In contrast, Porphyromonas demonstrated a significant negative correlation. Compared with the patients with PT-CIP, the lung microbiota of patients with PI exhibited a more diverse biological and metabolic profile. Additionally, machine learning models based on BALF microbiota profiles could accurately diagnose CIP, with the decision tree model showing the best diagnostic performance (area under the curve: 0.88).
CONCLUSIONS: Our study represents the unique characterization of the lung microbiota profiles across distinct CIP subtypes and establishes a diagnostic model for CIP based on the decision tree. These findings emphasize the value of BALF mNGS in improving the diagnosis of CIP.},
            }
          
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Humans
Male
Female
Prospective Studies
*High-Throughput Nucleotide Sequencing/methods
*Immune Checkpoint Inhibitors/adverse effects/pharmacology
Middle Aged
*Metagenomics/methods
*Microbiota
*Pneumonia/chemically induced/microbiology/diagnosis
Aged
*Lung/microbiology
Bronchoalveolar Lavage Fluid/microbiology
          
RevDate: 2025-10-29
Effects of thermal alkaline hydrolysis and biochar addition on anaerobic digestion of sewage sludge and fate of antibiotic resistance genes.
Bioresource technology pii:S0960-8524(25)01536-6 [Epub ahead of print].
Anaerobic digestion (AD) has gained wide attention as a potential method to reduce the spread of antibiotic resistance genes (ARGs). This study systematically evaluated the impacts of thermal alkaline hydrolysis (TA), biochar addition (BA), and the combination of these two methods (TA-BA) on the efficiency of AD and the removal of ARGs in the sewage sludge AD process. Metagenomic sequencing and quantitative PCR were used to systematically analyze the dissemination of ARGs in different sludge samples. The results indicated that both TA and TA-BA could enhance the efficiency of sludge AD, and the cumulative biogas production was increased by 68.35 %-258.57 % compared to the control group. In addition, the absolute abundance of ARGs was significantly reduced by 59.31 %-74.67 % in the TA- and BA-treated groups compared to the control group. The combination of TA-BA exhibited a synergistic effect, achieving the most significant reduction in ARGs absolute abundance (up to 74.67 % removal), outperforming individual treatments. Both TA and BA could promote the generation of Anaerolinea and Longilinea. Meanwhile, TA significantly increased the relative abundance of Methanobacteriaceae, while BA enhanced the relative abundance of Methanothrix. The correlation analysis demonstrated a significant negative correlation between TOC and sul1 (P < 0.01), and revealing a significant positive correlation between intI1 and sul1 (P < 0.05). Moreover, a significant correlation was observed between the fate of ARGs and the succession of microbial community structure.
Additional Links: PMID-41161652
Publisher:
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41161652,
            year = {2025},
            author = {Li, R and Qiu, C and Chen, X and Liu, N and Zhang, Y and Qi, L and Wang, S},
            title = {Effects of thermal alkaline hydrolysis and biochar addition on anaerobic digestion of sewage sludge and fate of antibiotic resistance genes.},
            journal = {Bioresource technology},
            volume = {},
            number = {},
            pages = {133569},
            doi = {10.1016/j.biortech.2025.133569},
            pmid = {41161652},
            issn = {1873-2976},
            abstract = {Anaerobic digestion (AD) has gained wide attention as a potential method to reduce the spread of antibiotic resistance genes (ARGs). This study systematically evaluated the impacts of thermal alkaline hydrolysis (TA), biochar addition (BA), and the combination of these two methods (TA-BA) on the efficiency of AD and the removal of ARGs in the sewage sludge AD process. Metagenomic sequencing and quantitative PCR were used to systematically analyze the dissemination of ARGs in different sludge samples. The results indicated that both TA and TA-BA could enhance the efficiency of sludge AD, and the cumulative biogas production was increased by 68.35 %-258.57 % compared to the control group. In addition, the absolute abundance of ARGs was significantly reduced by 59.31 %-74.67 % in the TA- and BA-treated groups compared to the control group. The combination of TA-BA exhibited a synergistic effect, achieving the most significant reduction in ARGs absolute abundance (up to 74.67 % removal), outperforming individual treatments. Both TA and BA could promote the generation of Anaerolinea and Longilinea. Meanwhile, TA significantly increased the relative abundance of Methanobacteriaceae, while BA enhanced the relative abundance of Methanothrix. The correlation analysis demonstrated a significant negative correlation between TOC and sul1 (P < 0.01), and revealing a significant positive correlation between intI1 and sul1 (P < 0.05). Moreover, a significant correlation was observed between the fate of ARGs and the succession of microbial community structure.},
            }
          
RevDate: 2025-10-29
Importance of substrate mixture ratio optimization on efficient anaerobic co-digestion of organic wastes generated in livestock sector: Insights into process performances and metagenomics.
Bioresource technology pii:S0960-8524(25)01528-7 [Epub ahead of print].
Improving the efficiency of anaerobic co-digestion of livestock wastes, particularly through optimizing mixture ratios, is a key research focus. This study identifies an optimal substrate mixture ratio of 23 % cow manure, 22 % pig manure, and 55 % carcass waste, which significantly enhances the degradation of lignocellulose, protein, and lipids compared to equal ratios. In the optimal mixture, the methane (CH4) yield remained stable at 310-360 mL-CH4/g-VS (volatile solids) as the organic loading rate increased to 5 kg-VS/m[3]/d. In contrast, the equal substrate mixture ratio showed lower CH4 yield and less stability under increasing organic loads. Key bacterial genera in the optimal mixture included Cloacamonas, Pseudomonas, Geofilum, and Clostridium, with methanogenic archaea such as Methanosaeta and Methanosarcina. Metagenomic analysis showed enriched pathways for cellulose, hemicellulose, and lipid degradation, alongside enhanced metabolism of volatile fatty acids and ammonia. This study highlights the importance of optimizing substrate ratios for efficient CH4 yield and stability.
Additional Links: PMID-41161648
Publisher:
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41161648,
            year = {2025},
            author = {Kadam, R and Jo, S and Park, J},
            title = {Importance of substrate mixture ratio optimization on efficient anaerobic co-digestion of organic wastes generated in livestock sector: Insights into process performances and metagenomics.},
            journal = {Bioresource technology},
            volume = {},
            number = {},
            pages = {133561},
            doi = {10.1016/j.biortech.2025.133561},
            pmid = {41161648},
            issn = {1873-2976},
            abstract = {Improving the efficiency of anaerobic co-digestion of livestock wastes, particularly through optimizing mixture ratios, is a key research focus. This study identifies an optimal substrate mixture ratio of 23 % cow manure, 22 % pig manure, and 55 % carcass waste, which significantly enhances the degradation of lignocellulose, protein, and lipids compared to equal ratios. In the optimal mixture, the methane (CH4) yield remained stable at 310-360 mL-CH4/g-VS (volatile solids) as the organic loading rate increased to 5 kg-VS/m[3]/d. In contrast, the equal substrate mixture ratio showed lower CH4 yield and less stability under increasing organic loads. Key bacterial genera in the optimal mixture included Cloacamonas, Pseudomonas, Geofilum, and Clostridium, with methanogenic archaea such as Methanosaeta and Methanosarcina. Metagenomic analysis showed enriched pathways for cellulose, hemicellulose, and lipid degradation, alongside enhanced metabolism of volatile fatty acids and ammonia. This study highlights the importance of optimizing substrate ratios for efficient CH4 yield and stability.},
            }
          
RevDate: 2025-10-29
Reducing environmental contamination during reprocessing of highly contaminated flexible bronchoscopes from the intensive care unit.
The Journal of hospital infection pii:S0195-6701(25)00313-5 [Epub ahead of print].
            BACKGROUND: Flexible bronchoscopes (FBs) used in intensive care units (ICUs) frequently harbour pathogenic micro-organisms, creating early reprocessing risks for environmental contamination and staff exposure.
METHODS: In a six-month evaluation of 832 ICU FBs sampled immediately post-use with metagenomic next-generation sequencing, 55.4% carried one or more pathogens, including multi-drug-resistant bacteria, fungi and airborne agents. We instituted an enhanced reprocessing protocol centred on sealed transfer using double biohazard bags, a two-person dedicated handling method that separates contaminated-scope contact from support tasks, segregation of sinks and a dedicated automated endoscope reprocessor (AER) for ICU FBs, and rigorous terminal disinfection of equipment and work surfaces.
FINDINGS: Quality checks showed unchanged cleaning efficacy of FBs, whereas the environmental microbial burden on work surfaces after reprocessing was significantly reduced under the new protocol.
CONCLUSIONS: These findings identify ICU FBs as a high-load reservoir at the point of receipt and demonstrate that targeted, standardized controls during the earliest reprocessing steps can mitigate environmental contamination and enhance sterile-processing worker protection without compromising device reprocessing outcomes.
          
Additional Links: PMID-41161351
Publisher:
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41161351,
            year = {2025},
            author = {Rao, H and Gao, L and Zheng, X and Wei, J and Yue, M and Li, B and Wang, Z and Yang, M and Ren, X},
            title = {Reducing environmental contamination during reprocessing of highly contaminated flexible bronchoscopes from the intensive care unit.},
            journal = {The Journal of hospital infection},
            volume = {},
            number = {},
            pages = {},
            doi = {10.1016/j.jhin.2025.10.006},
            pmid = {41161351},
            issn = {1532-2939},
            abstract = {BACKGROUND: Flexible bronchoscopes (FBs) used in intensive care units (ICUs) frequently harbour pathogenic micro-organisms, creating early reprocessing risks for environmental contamination and staff exposure.
METHODS: In a six-month evaluation of 832 ICU FBs sampled immediately post-use with metagenomic next-generation sequencing, 55.4% carried one or more pathogens, including multi-drug-resistant bacteria, fungi and airborne agents. We instituted an enhanced reprocessing protocol centred on sealed transfer using double biohazard bags, a two-person dedicated handling method that separates contaminated-scope contact from support tasks, segregation of sinks and a dedicated automated endoscope reprocessor (AER) for ICU FBs, and rigorous terminal disinfection of equipment and work surfaces.
FINDINGS: Quality checks showed unchanged cleaning efficacy of FBs, whereas the environmental microbial burden on work surfaces after reprocessing was significantly reduced under the new protocol.
CONCLUSIONS: These findings identify ICU FBs as a high-load reservoir at the point of receipt and demonstrate that targeted, standardized controls during the earliest reprocessing steps can mitigate environmental contamination and enhance sterile-processing worker protection without compromising device reprocessing outcomes.},
            }
          
RevDate: 2025-10-29
Tradeoffs between microbial life-history strategies drive soil carbon cycling during revegetation in karst ecosystems: A metagenomic perspective.
Journal of environmental management, 395:127802 pii:S0301-4797(25)03778-8 [Epub ahead of print].
Revegetation strongly influences the dynamics of soil organic carbon (SOC) and microbial communities. While microbial communities are known to drive carbon (C) cycling, the specific traits responsible for C stabilization and mineralization during the revegetation of degraded karst ecosystems are not well understood. This study used a combination of metagenomic and instrumental methods to investigate variations in soil physicochemical properties, organic C fractions, C-cycle microbial community traits (diversity, life strategies, and co-occurrence patterns), and C-cycling (fixation and degradation) genes across four karst ecosystems representing a revegetation chronosequence encompassing cropland, grassland, shrubland, and primary forest. Our findings demonstrated that revegetation increased total SOC and recalcitrant OC (ROC) contents, while it decreased dissolved inorganic nitrogen (DIN) and reduced the ratio of labile OC (LOC) to SOC. This indicates enhanced C pool stabilization and storage, alongside reduced soil nutrient availability. These shifts favored the development of C-cycle microbial communities with low diversity and high proportions of K-strategists, which efficiently utilize recalcitrant C under oligotrophic conditions. Consequently, the increased dominance of K-strategists redirected microbial resource acquisition, manifested in a 29 % decrease in C-fixation gene abundances (rTCA, WL, and DC/4-HB pathways) and a 27 % decrease in genes degrading labile C compounds (starch, hemicellulose, cellulose, and chitin). Conversely, genes involved in degrading recalcitrant C compounds (pectin and lignin) increased by 19 %. Furthermore, the elevated proportion of K-strategists enhanced the complexity and stability of microbial taxonomic and functional networks, potentially strengthening community resilience and nutrient cycling efficiency. These results reveal a causal link between shifts in the soil C pool and nutrient availability during revegetation and the subsequent reshaping of C-cycling microbial communities. Such restructured communities, in turn, drive the expression of genes associated with C stabilization and mineralization, thereby impacting the soil C pool. This study provides mechanistic insights into microbial-mediated biochemical processes governing soil C decomposition and stabilization in karst ecosystems, offering critical guidance for ecological restoration in these degraded and fragile regions.
Additional Links: PMID-41161274
Publisher:
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41161274,
            year = {2025},
            author = {Cai, X and Yuan, X and Singh, AK and Chen, C and Zhu, X and Liu, W},
            title = {Tradeoffs between microbial life-history strategies drive soil carbon cycling during revegetation in karst ecosystems: A metagenomic perspective.},
            journal = {Journal of environmental management},
            volume = {395},
            number = {},
            pages = {127802},
            doi = {10.1016/j.jenvman.2025.127802},
            pmid = {41161274},
            issn = {1095-8630},
            abstract = {Revegetation strongly influences the dynamics of soil organic carbon (SOC) and microbial communities. While microbial communities are known to drive carbon (C) cycling, the specific traits responsible for C stabilization and mineralization during the revegetation of degraded karst ecosystems are not well understood. This study used a combination of metagenomic and instrumental methods to investigate variations in soil physicochemical properties, organic C fractions, C-cycle microbial community traits (diversity, life strategies, and co-occurrence patterns), and C-cycling (fixation and degradation) genes across four karst ecosystems representing a revegetation chronosequence encompassing cropland, grassland, shrubland, and primary forest. Our findings demonstrated that revegetation increased total SOC and recalcitrant OC (ROC) contents, while it decreased dissolved inorganic nitrogen (DIN) and reduced the ratio of labile OC (LOC) to SOC. This indicates enhanced C pool stabilization and storage, alongside reduced soil nutrient availability. These shifts favored the development of C-cycle microbial communities with low diversity and high proportions of K-strategists, which efficiently utilize recalcitrant C under oligotrophic conditions. Consequently, the increased dominance of K-strategists redirected microbial resource acquisition, manifested in a 29 % decrease in C-fixation gene abundances (rTCA, WL, and DC/4-HB pathways) and a 27 % decrease in genes degrading labile C compounds (starch, hemicellulose, cellulose, and chitin). Conversely, genes involved in degrading recalcitrant C compounds (pectin and lignin) increased by 19 %. Furthermore, the elevated proportion of K-strategists enhanced the complexity and stability of microbial taxonomic and functional networks, potentially strengthening community resilience and nutrient cycling efficiency. These results reveal a causal link between shifts in the soil C pool and nutrient availability during revegetation and the subsequent reshaping of C-cycling microbial communities. Such restructured communities, in turn, drive the expression of genes associated with C stabilization and mineralization, thereby impacting the soil C pool. This study provides mechanistic insights into microbial-mediated biochemical processes governing soil C decomposition and stabilization in karst ecosystems, offering critical guidance for ecological restoration in these degraded and fragile regions.},
            }
          
RevDate: 2025-10-29
Risk assessment of the spread of antibiotic resistance genes from hospitals to the receiving environment via wastewater treatment plants.
Ecotoxicology and environmental safety, 306:119264 pii:S0147-6513(25)01609-4 [Epub ahead of print].
Antibiotics and antibiotic resistance genes (ARGs) enter the receiving environment from hospitals through wastewater treatment plants (WWTPs), increasing the presence of exogenous ARGs and conditional pathogens in the receiving environment, thereby elevating the risk of drug resistance. This study, based on metagenomics, investigated changes in risk across each node in the ARG transmission chain, from hospitals through WWTPs to downstream receiving water and sediments. The results showed that the total concentration of antibiotics decreased from 1467.80 ± 215.30 µg/L in hospital wastewater to 111.52 ± 18.70 µg/L in downstream receiving water, achieving a 92.40 % removal rate. However, the types of high ecological risk antibiotics in hospital wastewater were only reduced by 38.46 % after treatment by hospitals and sewage treatment plants. The abundance of Rank I ARGs was reduced by 37.03 % in hospital sewage treatment stations and 28.57 % in WWTPs, but these ARGs accounted for 81.8 % of the Rank I ARGs in receiving water. The potential host bacteria for these ARGs were mainly Proteobacteria, which carried bacitracin and multidrug resistance genes. While WWTPs removed 66.67 % of the conditional pathogens, bacteria such as Acinetobacter and Streptococcus still entered the receiving water. MetaCompare revealed that the potential transmission risk of ARGs decreased by 24.31 % after hospital wastewater treatment and by 20.71 % after WWTPs, with the risk of the receiving water being 7.01 times that in sediments. The potential risk assessment framework developed in this study for antibiotics and ARGs in the environment provides a theoretical guidance for antibiotic treatment and ARGs environmental risk control.
Additional Links: PMID-41161238
Publisher:
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41161238,
            year = {2025},
            author = {Chi, T and Liu, Z and Zhang, B and Zhu, L and Hu, B},
            title = {Risk assessment of the spread of antibiotic resistance genes from hospitals to the receiving environment via wastewater treatment plants.},
            journal = {Ecotoxicology and environmental safety},
            volume = {306},
            number = {},
            pages = {119264},
            doi = {10.1016/j.ecoenv.2025.119264},
            pmid = {41161238},
            issn = {1090-2414},
            abstract = {Antibiotics and antibiotic resistance genes (ARGs) enter the receiving environment from hospitals through wastewater treatment plants (WWTPs), increasing the presence of exogenous ARGs and conditional pathogens in the receiving environment, thereby elevating the risk of drug resistance. This study, based on metagenomics, investigated changes in risk across each node in the ARG transmission chain, from hospitals through WWTPs to downstream receiving water and sediments. The results showed that the total concentration of antibiotics decreased from 1467.80 ± 215.30 µg/L in hospital wastewater to 111.52 ± 18.70 µg/L in downstream receiving water, achieving a 92.40 % removal rate. However, the types of high ecological risk antibiotics in hospital wastewater were only reduced by 38.46 % after treatment by hospitals and sewage treatment plants. The abundance of Rank I ARGs was reduced by 37.03 % in hospital sewage treatment stations and 28.57 % in WWTPs, but these ARGs accounted for 81.8 % of the Rank I ARGs in receiving water. The potential host bacteria for these ARGs were mainly Proteobacteria, which carried bacitracin and multidrug resistance genes. While WWTPs removed 66.67 % of the conditional pathogens, bacteria such as Acinetobacter and Streptococcus still entered the receiving water. MetaCompare revealed that the potential transmission risk of ARGs decreased by 24.31 % after hospital wastewater treatment and by 20.71 % after WWTPs, with the risk of the receiving water being 7.01 times that in sediments. The potential risk assessment framework developed in this study for antibiotics and ARGs in the environment provides a theoretical guidance for antibiotic treatment and ARGs environmental risk control.},
            }
          
RevDate: 2025-10-29
Clinical characteristics and mortality risk factors of Streptococcus constellatus infection: A retrospective cohort study of 390 patients.
Journal of infection and public health, 19(1):103023 pii:S1876-0341(25)00372-7 [Epub ahead of print].
            BACKGROUND: Few studies have investigated the clinical characteristics and mortality associated with Streptococcus constellatus (S.constellatus) infection. To identify the clinical features and mortality of patients with S. constellatus infection.
METHODS: This retrospective cohort study analyzed hospitalized patients with confirmed S.constellatus infection at West China Hospital of Sichuan University from January 2016 to April 2024. S. constellatus was identified using sterile body fluid culture or metagenomic next-generation sequencing (mNGS). Patients were categorized as monomicrobial or polymicrobial infection. Kaplan-Meier curve analysis was performed to compare the 30-day survival rates based on infection type and infection site, while multivariate Cox regression was conducted to identify independent risk factors for 30-day mortality.
RESULTS: Of the 390 patients, 301 (77.2 %) were classified as monomicrobial S. constellatus infection. S. constellatus isolates were highly susceptible to penicillin (98.08 %) and levofloxacin (98.90 %).Overall 30- and 90-day mortality were 13.08 % and 15.13 %, higher in polymicrobial than monomicrobial infections (24.72 % vs 8.97 % at 30 days; 29.21 % vs 10.96 % at 90 days). Polymicrobial infection (adjusted hazard ratio [aHR] = 2.426, p = 0.007) and brain abscess (aHR = 16.689, p < 0.001) were identified as independent risk factors for 30-day mortality in patients with S. constellatus infection. In the subgroup of monomicrobial infection, mediastinal abscess (aHR = 6.738, p = 0.002) and brain abscess (aHR = 13.933, p < 0.001) were significantly associated with an increased risk of 30-day mortality.
CONCLUSIONS: Although S. constellatus was highly susceptible to antibiotics, short-term mortality remained substantial. Infection site and polymicrobial infection were key prognostic factors in patients with S. constellatus infection.
          
Additional Links: PMID-41161021
Publisher:
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41161021,
            year = {2025},
            author = {Sun, J and Tong, X and Liu, S and Zhang, S and Wang, L and Wang, D and Jia, Q and He, X and Lv, W and Abdo Qasem, MAA and Xiao, Y and Fan, H},
            title = {Clinical characteristics and mortality risk factors of Streptococcus constellatus infection: A retrospective cohort study of 390 patients.},
            journal = {Journal of infection and public health},
            volume = {19},
            number = {1},
            pages = {103023},
            doi = {10.1016/j.jiph.2025.103023},
            pmid = {41161021},
            issn = {1876-035X},
            abstract = {BACKGROUND: Few studies have investigated the clinical characteristics and mortality associated with Streptococcus constellatus (S.constellatus) infection. To identify the clinical features and mortality of patients with S. constellatus infection.
METHODS: This retrospective cohort study analyzed hospitalized patients with confirmed S.constellatus infection at West China Hospital of Sichuan University from January 2016 to April 2024. S. constellatus was identified using sterile body fluid culture or metagenomic next-generation sequencing (mNGS). Patients were categorized as monomicrobial or polymicrobial infection. Kaplan-Meier curve analysis was performed to compare the 30-day survival rates based on infection type and infection site, while multivariate Cox regression was conducted to identify independent risk factors for 30-day mortality.
RESULTS: Of the 390 patients, 301 (77.2 %) were classified as monomicrobial S. constellatus infection. S. constellatus isolates were highly susceptible to penicillin (98.08 %) and levofloxacin (98.90 %).Overall 30- and 90-day mortality were 13.08 % and 15.13 %, higher in polymicrobial than monomicrobial infections (24.72 % vs 8.97 % at 30 days; 29.21 % vs 10.96 % at 90 days). Polymicrobial infection (adjusted hazard ratio [aHR] = 2.426, p = 0.007) and brain abscess (aHR = 16.689, p < 0.001) were identified as independent risk factors for 30-day mortality in patients with S. constellatus infection. In the subgroup of monomicrobial infection, mediastinal abscess (aHR = 6.738, p = 0.002) and brain abscess (aHR = 13.933, p < 0.001) were significantly associated with an increased risk of 30-day mortality.
CONCLUSIONS: Although S. constellatus was highly susceptible to antibiotics, short-term mortality remained substantial. Infection site and polymicrobial infection were key prognostic factors in patients with S. constellatus infection.},
            }
          
RevDate: 2025-10-29
Evaluation of a diagnostic metagenomic sequencing assay: Virus detection sensitivity and background nucleic acids in three different sample materials.
Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology, 181:105882 pii:S1386-6532(25)00124-6 [Epub ahead of print].
            BACKGROUND: Metagenomic sequencing has emerged as an attractive, general, and agnostic diagnostic method, in particular for detection of viruses. However, its application faces limitations, including reduced sensitivity due to background nucleic acid content of samples, and the search for an optimized protocol is still ongoing.
METHODS: We report the development of a metagenomic sequencing protocol for diagnostic use and its performance in detecting DNA and RNA viruses in three different sample materials: serum, cerebrospinal fluid (CSF) and nasopharyngeal swabs (NPS).
RESULTS: Sensitivity was higher for RNA viruses than for DNA viruses, and also higher in CSF than in serum and lowest in NPS. We characterized the background nucleic acids and found higher DNA than RNA levels in CSF and serum and overall highest nucleic acid levels in NPS, intermediate in serum and lowest in CSF. These differences largely explained the observed variability in sensitivity between sample preparations and sample materials.
CONCLUSIONS: Our results highlight the need to consider sample-type specific characteristics in efforts to improve the sensitivity of metagenomic assays e.g. via host depletion protocols.
          
Additional Links: PMID-41161015
Publisher:
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41161015,
            year = {2025},
            author = {Ekman, M and Mahani, AN and Aralaguppe, SG and Normark, T and Stamouli, S and Andersson-Li, L and Sun, D and Broddesson, S and Wirta, V and Björkström, NK and Albert, J and Allander, T},
            title = {Evaluation of a diagnostic metagenomic sequencing assay: Virus detection sensitivity and background nucleic acids in three different sample materials.},
            journal = {Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology},
            volume = {181},
            number = {},
            pages = {105882},
            doi = {10.1016/j.jcv.2025.105882},
            pmid = {41161015},
            issn = {1873-5967},
            abstract = {BACKGROUND: Metagenomic sequencing has emerged as an attractive, general, and agnostic diagnostic method, in particular for detection of viruses. However, its application faces limitations, including reduced sensitivity due to background nucleic acid content of samples, and the search for an optimized protocol is still ongoing.
METHODS: We report the development of a metagenomic sequencing protocol for diagnostic use and its performance in detecting DNA and RNA viruses in three different sample materials: serum, cerebrospinal fluid (CSF) and nasopharyngeal swabs (NPS).
RESULTS: Sensitivity was higher for RNA viruses than for DNA viruses, and also higher in CSF than in serum and lowest in NPS. We characterized the background nucleic acids and found higher DNA than RNA levels in CSF and serum and overall highest nucleic acid levels in NPS, intermediate in serum and lowest in CSF. These differences largely explained the observed variability in sensitivity between sample preparations and sample materials.
CONCLUSIONS: Our results highlight the need to consider sample-type specific characteristics in efforts to improve the sensitivity of metagenomic assays e.g. via host depletion protocols.},
            }
          
            RevDate: 2025-10-29
CmpDate: 2025-10-29
          
Comparable tongue coating microbiota profiles from a simplified single-swab versus different sampling approaches: A pilot study.
Clinical oral investigations, 29(11):543.
            OBJECTIVE: The tongue coating microbiota has emerged as a potential biomarker for systemic diseases. However, the absence of a practical and widely applicable sampling protocol hinders cross-study comparability and limits clinical application. This pilot study aimed to evaluate the reliability of different sampling methods.
MATERIALS AND METHODS: Tongue coating samples were collected from healthy adults using four different methods, including single and multiple scrapes with sterile swabs or scraper. Metagenomic sequencing was performed to assess microbial diversity, taxonomic composition, and predicted functional profiles. DNA extraction quality, alpha- and beta-diversity metrics, taxonomic abundance at the genus and species levels, and KEGG-based functional predictions were analyzed. Spatial and structural features of the tongue biofilm were considered to interpret microbial sampling consistency.
RESULTS: The single-scrape method yielded comparable microbial profiles to multi-scrape methods, with no significant differences in alpha-diversity or beta-diversity. Taxonomic compositions at both genus and species levels were consistent across groups, with dominant taxa including Streptococcus, Prevotella, and Rothia. Functional prediction via KEGG annotation revealed minimal variation among groups, with only a few metabolic pathways showing statistically significant differences. These findings highlight the spatial stability and representative sampling potential of the tongue coating microbiota.
CONCLUSIONS: A single scrape using a sterile flocked swab provides a practical, reproducible, and cost-effective approach for tongue coating microbiota sampling. These pilot findings suggest that this simplified method yields representative microbiome data in healthy adults, although validation in larger and more diverse cohorts is required before clinical application.
CLINICAL RELEVANCE: This study demonstrates that a single-scrape sampling method yields tongue coating microbiota profiles comparable to conventional multi-scrape protocols. The findings support its potential for standardizing sampling in future large-scale studies.
TRIAL REGISTRATION: ITMCTR2024000616.
          
Additional Links: PMID-41160250
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41160250,
            year = {2025},
            author = {Li, Y and Zhu, M and Wang, W and Xu, Q and Cui, J and Liu, L and Liu, Y and Yang, H and Liu, Y},
            title = {Comparable tongue coating microbiota profiles from a simplified single-swab versus different sampling approaches: A pilot study.},
            journal = {Clinical oral investigations},
            volume = {29},
            number = {11},
            pages = {543},
            pmid = {41160250},
            issn = {1436-3771},
            support = {GZC20233129//the Postdoctoral Fellowship Program of CPSF/ ; 82374290//National Natural Science Foundation of China/ ; Yue Liu//Young Qihuang Scholar of the "Tens of Millions" Talent Project of China/ ; },
            mesh = {Humans ; Pilot Projects ; *Tongue/microbiology ; *Microbiota ; Adult ; Male ; Female ; *Specimen Handling/methods ; Reproducibility of Results ; Biofilms ; },
            abstract = {OBJECTIVE: The tongue coating microbiota has emerged as a potential biomarker for systemic diseases. However, the absence of a practical and widely applicable sampling protocol hinders cross-study comparability and limits clinical application. This pilot study aimed to evaluate the reliability of different sampling methods.
MATERIALS AND METHODS: Tongue coating samples were collected from healthy adults using four different methods, including single and multiple scrapes with sterile swabs or scraper. Metagenomic sequencing was performed to assess microbial diversity, taxonomic composition, and predicted functional profiles. DNA extraction quality, alpha- and beta-diversity metrics, taxonomic abundance at the genus and species levels, and KEGG-based functional predictions were analyzed. Spatial and structural features of the tongue biofilm were considered to interpret microbial sampling consistency.
RESULTS: The single-scrape method yielded comparable microbial profiles to multi-scrape methods, with no significant differences in alpha-diversity or beta-diversity. Taxonomic compositions at both genus and species levels were consistent across groups, with dominant taxa including Streptococcus, Prevotella, and Rothia. Functional prediction via KEGG annotation revealed minimal variation among groups, with only a few metabolic pathways showing statistically significant differences. These findings highlight the spatial stability and representative sampling potential of the tongue coating microbiota.
CONCLUSIONS: A single scrape using a sterile flocked swab provides a practical, reproducible, and cost-effective approach for tongue coating microbiota sampling. These pilot findings suggest that this simplified method yields representative microbiome data in healthy adults, although validation in larger and more diverse cohorts is required before clinical application.
CLINICAL RELEVANCE: This study demonstrates that a single-scrape sampling method yields tongue coating microbiota profiles comparable to conventional multi-scrape protocols. The findings support its potential for standardizing sampling in future large-scale studies.
TRIAL REGISTRATION: ITMCTR2024000616.},
            }
          
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Humans
Pilot Projects
*Tongue/microbiology
*Microbiota
Adult
Male
Female
*Specimen Handling/methods
Reproducibility of Results
Biofilms
          
            RevDate: 2025-10-29
CmpDate: 2025-10-29
          
Gut microbiome profiling of antibiotic-treated Mystus cavasius using culture-based and shotgun metagenomic approaches.
Antonie van Leeuwenhoek, 118(12):183.
Antibiotic use in aquaculture prevents disease and promotes growth but can disrupt the gut microbiome and drive resistance. The study profiled the gut microbiome of antibiotic-treated Mystus cavasius using both culture-based and shotgun metagenomic approach. Culture-dependent analysis revealed a significant 2-threefold reduction in total viable bacterial count in treated fish. Phylogenetic analysis of 12 cultured isolates revealed treatment-driven enrichment of Bacillus, Enterobacter and Aeromonas. Antibiotic susceptibility testing further revealed increased resistance profiles among isolates from treated fish. Metagenomic profiling identified over 1400 bacterial species and revealed clear taxonomic shifts. Control groups were enriched with beneficial genera such as Lactiplantibacillus and Arthrospira, while treated fish were dominated by opportunistic or resistant taxa including Plesiomonas, Staphylococcus, and Acinetobacter. These shifts were further reflected at the phylum level, with a decline in Proteobacteria and Bacteroidetes, accompanied by an increase in Firmicutes and the enrichment of antibiotic-tolerant lineages. Treated samples exhibited more uniform alpha diversity indices, suggesting a restructuring of the microbial community hierarchy following oxytetracycline exposure, whereas beta diversity analysis showed a moderate separation between control and treated groups. These findings provide critical insights into the ecological and health risks of antibiotic use in aquaculture and underscore the importance of developing sustainable alternatives for disease management in fish farming.
Additional Links: PMID-41160143
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41160143,
            year = {2025},
            author = {Begum, M and Barsha, KF and Rahman, MM and Sarkar, MMH and Chowdhury, SF and Bhowmik, S and Shormi, AS and Bari, SM},
            title = {Gut microbiome profiling of antibiotic-treated Mystus cavasius using culture-based and shotgun metagenomic approaches.},
            journal = {Antonie van Leeuwenhoek},
            volume = {118},
            number = {12},
            pages = {183},
            pmid = {41160143},
            issn = {1572-9699},
            mesh = {*Anti-Bacterial Agents/pharmacology ; Animals ; *Gastrointestinal Microbiome/drug effects ; *Metagenomics/methods ; *Bacteria/classification/genetics/drug effects/isolation & purification ; Phylogeny ; Aquaculture ; *Catfishes/microbiology ; RNA, Ribosomal, 16S/genetics ; Microbial Sensitivity Tests ; },
            abstract = {Antibiotic use in aquaculture prevents disease and promotes growth but can disrupt the gut microbiome and drive resistance. The study profiled the gut microbiome of antibiotic-treated Mystus cavasius using both culture-based and shotgun metagenomic approach. Culture-dependent analysis revealed a significant 2-threefold reduction in total viable bacterial count in treated fish. Phylogenetic analysis of 12 cultured isolates revealed treatment-driven enrichment of Bacillus, Enterobacter and Aeromonas. Antibiotic susceptibility testing further revealed increased resistance profiles among isolates from treated fish. Metagenomic profiling identified over 1400 bacterial species and revealed clear taxonomic shifts. Control groups were enriched with beneficial genera such as Lactiplantibacillus and Arthrospira, while treated fish were dominated by opportunistic or resistant taxa including Plesiomonas, Staphylococcus, and Acinetobacter. These shifts were further reflected at the phylum level, with a decline in Proteobacteria and Bacteroidetes, accompanied by an increase in Firmicutes and the enrichment of antibiotic-tolerant lineages. Treated samples exhibited more uniform alpha diversity indices, suggesting a restructuring of the microbial community hierarchy following oxytetracycline exposure, whereas beta diversity analysis showed a moderate separation between control and treated groups. These findings provide critical insights into the ecological and health risks of antibiotic use in aquaculture and underscore the importance of developing sustainable alternatives for disease management in fish farming.},
            }
          
MeSH Terms:
show MeSH Terms
hide MeSH Terms
*Anti-Bacterial Agents/pharmacology
Animals
*Gastrointestinal Microbiome/drug effects
*Metagenomics/methods
*Bacteria/classification/genetics/drug effects/isolation & purification
Phylogeny
Aquaculture
*Catfishes/microbiology
RNA, Ribosomal, 16S/genetics
Microbial Sensitivity Tests
          
            RevDate: 2025-10-29
CmpDate: 2025-10-29
          
The microbiome of marine sponges located on the Saudi Arabia coast of the Red sea using high-throughput 16S amplicon sequencing.
AMB Express, 15(1):160.
Marine sponges (Porifera) from the Red Sea host diverse microbial communities that are integral to sponge health, nutrient cycling, and ecological resilience. Using high-throughput 16S rRNA amplicon sequencing, we characterized the bacterial diversity and functional potential across several Red Sea sponge species. Our findings revealed that these microbiomes are dominated by Alphaproteobacteria, Gammaproteobacteria, and Roseobacteraceae, with notable contributions from bacterial taxa involved in nitrogen fixation, organic matter degradation, and antimicrobial compound production. Functional predictions indicate that these symbionts support sponge nutrition, defense, and adaptation to the extreme Red Sea environment, including high salinity and temperature. Compared to sponge microbiomes from other marine regions, the Red Sea communities display unique taxonomic compositions and enhanced metabolic and defensive capacities. This highlights the essential ecological roles and potential biotechnological applications of these symbiotic assemblages. Our study underscores the significance of exploring sponge-associated microbiomes in understudied and extreme marine ecosystems. These results provide a foundation for future bioprospecting and work on adaptive mechanisms, emphasizing the value of Red Sea sponges and their microbiota for marine biotechnology and ecosystem resilience.
Additional Links: PMID-41160089
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41160089,
            year = {2025},
            author = {Abuzahrah, SS},
            title = {The microbiome of marine sponges located on the Saudi Arabia coast of the Red sea using high-throughput 16S amplicon sequencing.},
            journal = {AMB Express},
            volume = {15},
            number = {1},
            pages = {160},
            pmid = {41160089},
            issn = {2191-0855},
            support = {PROJECT NO.: CRP/SAU24-02//International Centre for Genetic Engineering and Biotechnology (ICGEB)/ ; },
            abstract = {Marine sponges (Porifera) from the Red Sea host diverse microbial communities that are integral to sponge health, nutrient cycling, and ecological resilience. Using high-throughput 16S rRNA amplicon sequencing, we characterized the bacterial diversity and functional potential across several Red Sea sponge species. Our findings revealed that these microbiomes are dominated by Alphaproteobacteria, Gammaproteobacteria, and Roseobacteraceae, with notable contributions from bacterial taxa involved in nitrogen fixation, organic matter degradation, and antimicrobial compound production. Functional predictions indicate that these symbionts support sponge nutrition, defense, and adaptation to the extreme Red Sea environment, including high salinity and temperature. Compared to sponge microbiomes from other marine regions, the Red Sea communities display unique taxonomic compositions and enhanced metabolic and defensive capacities. This highlights the essential ecological roles and potential biotechnological applications of these symbiotic assemblages. Our study underscores the significance of exploring sponge-associated microbiomes in understudied and extreme marine ecosystems. These results provide a foundation for future bioprospecting and work on adaptive mechanisms, emphasizing the value of Red Sea sponges and their microbiota for marine biotechnology and ecosystem resilience.},
            }
          
RevDate: 2025-10-29
Metagenome-assembled complete genome of Bohxovirus, a virulent bacteriophage involved in the prediction of hospital-acquired pneumonia in intubated critically ill patients.
Microbiology resource announcements [Epub ahead of print].
We present the complete genome of a Bohxovirus species, a virulent phage targeting Prevotella jejuni, reconstructed from viral metagenomes in respiratory endotracheal aspirates of intubated critically ill patients. The 98-kbp bacteriophage, belonging to the Suoliviridae family, does not contain genes associated with antibiotic resistance or bacterial virulence.CLINICAL TRIALSClinicalTrials.gov numbers: NCT02003196 and NCT04793568.
Additional Links: PMID-41159973
Publisher:
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41159973,
            year = {2025},
            author = {Anani, H and Destras, G and Regue, H and Bulteau, S and Bressollette-Bodin, C and Roquilly, A and Josset, L},
            title = {Metagenome-assembled complete genome of Bohxovirus, a virulent bacteriophage involved in the prediction of hospital-acquired pneumonia in intubated critically ill patients.},
            journal = {Microbiology resource announcements},
            volume = {},
            number = {},
            pages = {e0059225},
            doi = {10.1128/mra.00592-25},
            pmid = {41159973},
            issn = {2576-098X},
            abstract = {We present the complete genome of a Bohxovirus species, a virulent phage targeting Prevotella jejuni, reconstructed from viral metagenomes in respiratory endotracheal aspirates of intubated critically ill patients. The 98-kbp bacteriophage, belonging to the Suoliviridae family, does not contain genes associated with antibiotic resistance or bacterial virulence.CLINICAL TRIALSClinicalTrials.gov numbers: NCT02003196 and NCT04793568.},
            }
          
RevDate: 2025-10-29
Reply to Liu et al. and Chen et al.
American journal of respiratory and critical care medicine [Epub ahead of print].
Additional Links: PMID-41159804
Publisher:
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41159804,
            year = {2025},
            author = {Spottiswoode, N and Neyton, LPA and Calfee, CS and Langelier, CR},
            title = {Reply to Liu et al. and Chen et al.},
            journal = {American journal of respiratory and critical care medicine},
            volume = {},
            number = {},
            pages = {},
            doi = {10.1164/rccm.202509-2218LE},
            pmid = {41159804},
            issn = {1535-4970},
            }
          
RevDate: 2025-10-29
Microbial Transformation of Dietary Glycerol Contributes to Intestinal Acrolein Formation and Urinary Excretion.
Molecular nutrition & food research [Epub ahead of print].
The aldehyde acrolein has been associated with diabetes, cardiovascular, respiratory, and neurodegenerative diseases, and gut microbiota possesses the potential for acrolein release via the key enzyme glycerol/diol dehydratase (PduCDE). This study aimed at estimating the contribution of gut microbiota to endogenous acrolein production. To minimize confounding sources, we investigated the intestinal acrolein-producing potential of 20 volunteers housed under defined conditions. Glycerol was present in every meal and was detected in feces, suggesting availability to intestinal microbiota. Based on fecal metagenomics and pduC analysis, all volunteers showed potential for intestinal glycerol transformation to acrolein; the genus Anaerobutyricum was the major contributor across donors and time. Levels of urine biomarkers N-acetyl-S-(3-hydroxypropyl)-L-cysteine (3-HPMA) and N-acetyl-S-(carboxyethyl)-L-cysteine (CEMA) were higher after the consumption of meals with high glycerol levels, suggesting immediate microbial transformation to acrolein. Only a small proportion of acrolein metabolites was recovered in urine, possibly due to high compound reactivity. Donors could be separated into 3-HPMA or CEMA phenotypes based on the predominance of urine biomarkers, and phenotypes related to overall fecal microbiota and fermentation metabolite profiles. Our data show that oral fat/glycerol intake together with intestinal microbiota activity might temporarily increase endogenous acrolein formation and that urinary biomarkers link to the intestinal microbiome.
Additional Links: PMID-41159664
Publisher:
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41159664,
            year = {2025},
            author = {Schwab, C and Lang, H and Stegmüller, S and Hosek, J and Marietou, A and Huertas-DÃaz, L and Li, Q and Krings, APS and Zander, A and Kræmer Sundekilde, U and Richling, E},
            title = {Microbial Transformation of Dietary Glycerol Contributes to Intestinal Acrolein Formation and Urinary Excretion.},
            journal = {Molecular nutrition & food research},
            volume = {},
            number = {},
            pages = {e70289},
            doi = {10.1002/mnfr.70289},
            pmid = {41159664},
            issn = {1613-4133},
            support = {RI 1176/12-1//Deutsche Forschungsgemeinschaft DFG/ ; RI 1176/13-1//Deutsche Forschungsgemeinschaft DFG/ ; },
            abstract = {The aldehyde acrolein has been associated with diabetes, cardiovascular, respiratory, and neurodegenerative diseases, and gut microbiota possesses the potential for acrolein release via the key enzyme glycerol/diol dehydratase (PduCDE). This study aimed at estimating the contribution of gut microbiota to endogenous acrolein production. To minimize confounding sources, we investigated the intestinal acrolein-producing potential of 20 volunteers housed under defined conditions. Glycerol was present in every meal and was detected in feces, suggesting availability to intestinal microbiota. Based on fecal metagenomics and pduC analysis, all volunteers showed potential for intestinal glycerol transformation to acrolein; the genus Anaerobutyricum was the major contributor across donors and time. Levels of urine biomarkers N-acetyl-S-(3-hydroxypropyl)-L-cysteine (3-HPMA) and N-acetyl-S-(carboxyethyl)-L-cysteine (CEMA) were higher after the consumption of meals with high glycerol levels, suggesting immediate microbial transformation to acrolein. Only a small proportion of acrolein metabolites was recovered in urine, possibly due to high compound reactivity. Donors could be separated into 3-HPMA or CEMA phenotypes based on the predominance of urine biomarkers, and phenotypes related to overall fecal microbiota and fermentation metabolite profiles. Our data show that oral fat/glycerol intake together with intestinal microbiota activity might temporarily increase endogenous acrolein formation and that urinary biomarkers link to the intestinal microbiome.},
            }
          
            RevDate: 2025-10-29
CmpDate: 2025-10-29
          
Colonization by Akkermansia muciniphila modulates central nervous system autoimmunity in an ecological context-dependent manner.
Frontiers in immunology, 16:1655428.
            INTRODUCTION: Multiple sclerosis is autoimmune disease of the central nervous system (CNS) in which myelin-reactive immune attack drives demyelination and subsequent disability. Various studies have documented elevated abundance of the commensal gut bacterium Akkermansia muciniphila (A. muciniphila) in people with multiple sclerosis compared to healthy control subjects, suggesting that its elevated abundance may be a risk factor for the development of CNS autoimmunity. However, A. muciniphila is considered beneficial in various other pathological contexts, and recent studies suggest that A. muciniphila may be paradoxically associated with reduced disability and progression in multiple sclerosis. Moreover, experimental modulation of A. muciniphila levels in experimental autoimmune encephalomyelitis (EAE), an autoimmune model of multiple sclerosis, has generated conflicting results, suggesting that the effects of this microbe on CNS autoimmunity could be context-dependent.
METHODS: To address this possibility, we generated two distinct microbiome models in C57BL/6J mice, each stably colonized by A. muciniphila or A. muciniphila-free, providing divergent ecological contexts in which A. muciniphila may exert a differential impact. We used EAE, flow cytometry, full-length 16S DNA sequencing, and mass spectrometry to assess the impact of A. muciniphila colonization on neurological outcomes, immune responses, gut microbiome composition, and short-chain fatty acid (SCFA) production, respectively. Dietary intervention was used to assess the functional consequences of differences in gut microbiota metabolic capacity.
RESULTS: We found that A. muciniphila colonization increased EAE severity only in a specific microbiome context, in conjunction with increased Th17 responses and CNS-infiltrating immune cells. Profiling of gut microbiome composition revealed that A. muciniphila colonization drove a reduction of Clostridia, key producers of SCFAs, specifically in the microbiome model in which A. muciniphila exacerbates EAE. Inferred metagenomic analyses suggested reduced SCFA production in the presence of A. muciniphila, which was confirmed by mass spectrometry. Consistently, provision of high dietary fiber as a substrate for SCFA production suppressed EAE only in the context of the Clostridia-rich microbiome sensitive to A. muciniphila colonization.
DISCUSSION: Taken together, our data suggest that the effect of A. muciniphila on CNS autoimmunity is highly dependent on the overall composition of the gut microbiome and suggest that this microbe may contribute to decreased gut SCFA metabolism in multiple sclerosis.
          
Additional Links: PMID-41159034
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41159034,
            year = {2025},
            author = {Peipert, D and Montgomery, TL and Toppen, LC and Lee, MFJ and Scarborough, MJ and Krementsov, DN},
            title = {Colonization by Akkermansia muciniphila modulates central nervous system autoimmunity in an ecological context-dependent manner.},
            journal = {Frontiers in immunology},
            volume = {16},
            number = {},
            pages = {1655428},
            pmid = {41159034},
            issn = {1664-3224},
            mesh = {Animals ; *Encephalomyelitis, Autoimmune, Experimental/immunology/microbiology ; *Gastrointestinal Microbiome/immunology ; *Autoimmunity ; Mice ; Mice, Inbred C57BL ; *Central Nervous System/immunology/microbiology ; *Multiple Sclerosis/immunology/microbiology ; Female ; Akkermansia ; *Verrucomicrobia/immunology ; Disease Models, Animal ; },
            abstract = {INTRODUCTION: Multiple sclerosis is autoimmune disease of the central nervous system (CNS) in which myelin-reactive immune attack drives demyelination and subsequent disability. Various studies have documented elevated abundance of the commensal gut bacterium Akkermansia muciniphila (A. muciniphila) in people with multiple sclerosis compared to healthy control subjects, suggesting that its elevated abundance may be a risk factor for the development of CNS autoimmunity. However, A. muciniphila is considered beneficial in various other pathological contexts, and recent studies suggest that A. muciniphila may be paradoxically associated with reduced disability and progression in multiple sclerosis. Moreover, experimental modulation of A. muciniphila levels in experimental autoimmune encephalomyelitis (EAE), an autoimmune model of multiple sclerosis, has generated conflicting results, suggesting that the effects of this microbe on CNS autoimmunity could be context-dependent.
METHODS: To address this possibility, we generated two distinct microbiome models in C57BL/6J mice, each stably colonized by A. muciniphila or A. muciniphila-free, providing divergent ecological contexts in which A. muciniphila may exert a differential impact. We used EAE, flow cytometry, full-length 16S DNA sequencing, and mass spectrometry to assess the impact of A. muciniphila colonization on neurological outcomes, immune responses, gut microbiome composition, and short-chain fatty acid (SCFA) production, respectively. Dietary intervention was used to assess the functional consequences of differences in gut microbiota metabolic capacity.
RESULTS: We found that A. muciniphila colonization increased EAE severity only in a specific microbiome context, in conjunction with increased Th17 responses and CNS-infiltrating immune cells. Profiling of gut microbiome composition revealed that A. muciniphila colonization drove a reduction of Clostridia, key producers of SCFAs, specifically in the microbiome model in which A. muciniphila exacerbates EAE. Inferred metagenomic analyses suggested reduced SCFA production in the presence of A. muciniphila, which was confirmed by mass spectrometry. Consistently, provision of high dietary fiber as a substrate for SCFA production suppressed EAE only in the context of the Clostridia-rich microbiome sensitive to A. muciniphila colonization.
DISCUSSION: Taken together, our data suggest that the effect of A. muciniphila on CNS autoimmunity is highly dependent on the overall composition of the gut microbiome and suggest that this microbe may contribute to decreased gut SCFA metabolism in multiple sclerosis.},
            }
          
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Animals
*Encephalomyelitis, Autoimmune, Experimental/immunology/microbiology
*Gastrointestinal Microbiome/immunology
*Autoimmunity
Mice
Mice, Inbred C57BL
*Central Nervous System/immunology/microbiology
*Multiple Sclerosis/immunology/microbiology
Female
Akkermansia
*Verrucomicrobia/immunology
Disease Models, Animal
          
            RevDate: 2025-10-29
CmpDate: 2025-10-29
          
Linking microbial ecology to the cycling of neutral and acidic polysaccharides in pustular mats from Shark Bay, Western Australia.
Frontiers in microbiology, 16:1684648.
Cyanobacteria and other microbes in peritidal microbial mats have produced extracellular polymeric substances (EPS) for more than two billion years. The production and degradation of EPS contributes to the biogeochemical cycling of carbon and carbonate precipitation within modern microbial mats, but key microbes involved in the cycling of EPS remain unidentified. Here, we investigate the cycling of EPS in the peritidal pustular mats of Shark Bay, Western Australia. We characterize the chemical composition of EPS produced by cyanobacterial enrichment cultures under natural and UV-stress conditions and link these findings to the metabolic potential for EPS production and degradation encoded in 84 metagenome-assembled genomes (MAGs) from the mat community. We further identify the key microbial degraders of specific acidic and neutral polysaccharides in this community by cultivating enrichment cultures on seven commercially available polysaccharides representative of those present in the mats and assessing the dominant taxa. All sequenced Cyanobacteria MAGs have the potential to synthesize mannose, fucose, glucose, arabinose, rhamnose, galactose, xylose, N-acetylglucosamine, galacturonic acid and glucuronic acid. Biochemical analyses confirm the presence of nearly all these monosaccharides in the hydrolysates of EPS extracted from UV- and non-UV exposed cyanobacterial enrichments. Ultraviolet radiation influences the structure and composition of EPS by reducing the hydration, potentially due to cross-linking among polymers in EPS and increasing the relative abundances of uronic acids and xylose in polysaccharides. Analyses of carbohydrate-active enzymes (CAZymes) in the MAGs and of 16S rRNA sequences from experimental polysaccharide enrichments point to major roles for Bacteroidetes, Planctomycetes, and Verrucomicrobia in the cycling of acidic EPS. These experiments reveal a complex interplay among microbial community composition, CAZyme diversity, environmental stressors, and EPS cycling, which together shape carbon flow and biomineralization in pustular mats in Shark Bay.
Additional Links: PMID-41158777
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41158777,
            year = {2025},
            author = {Skoog, EJ and Cutts, E and Bosak, T},
            title = {Linking microbial ecology to the cycling of neutral and acidic polysaccharides in pustular mats from Shark Bay, Western Australia.},
            journal = {Frontiers in microbiology},
            volume = {16},
            number = {},
            pages = {1684648},
            pmid = {41158777},
            issn = {1664-302X},
            abstract = {Cyanobacteria and other microbes in peritidal microbial mats have produced extracellular polymeric substances (EPS) for more than two billion years. The production and degradation of EPS contributes to the biogeochemical cycling of carbon and carbonate precipitation within modern microbial mats, but key microbes involved in the cycling of EPS remain unidentified. Here, we investigate the cycling of EPS in the peritidal pustular mats of Shark Bay, Western Australia. We characterize the chemical composition of EPS produced by cyanobacterial enrichment cultures under natural and UV-stress conditions and link these findings to the metabolic potential for EPS production and degradation encoded in 84 metagenome-assembled genomes (MAGs) from the mat community. We further identify the key microbial degraders of specific acidic and neutral polysaccharides in this community by cultivating enrichment cultures on seven commercially available polysaccharides representative of those present in the mats and assessing the dominant taxa. All sequenced Cyanobacteria MAGs have the potential to synthesize mannose, fucose, glucose, arabinose, rhamnose, galactose, xylose, N-acetylglucosamine, galacturonic acid and glucuronic acid. Biochemical analyses confirm the presence of nearly all these monosaccharides in the hydrolysates of EPS extracted from UV- and non-UV exposed cyanobacterial enrichments. Ultraviolet radiation influences the structure and composition of EPS by reducing the hydration, potentially due to cross-linking among polymers in EPS and increasing the relative abundances of uronic acids and xylose in polysaccharides. Analyses of carbohydrate-active enzymes (CAZymes) in the MAGs and of 16S rRNA sequences from experimental polysaccharide enrichments point to major roles for Bacteroidetes, Planctomycetes, and Verrucomicrobia in the cycling of acidic EPS. These experiments reveal a complex interplay among microbial community composition, CAZyme diversity, environmental stressors, and EPS cycling, which together shape carbon flow and biomineralization in pustular mats in Shark Bay.},
            }
          
            RevDate: 2025-10-29
CmpDate: 2025-10-29
          
Investigation of the role of sulfide oxidation in the gill-associated microbiota of freshwater mussel Limnoperna fortunei.
Frontiers in microbiology, 16:1671425.
            INTRODUCTION: Limnoperna fortunei is a notable invasive freshwater species, altering structure and function of natural and engineered aquatic ecosystems. The host-associated microbiomes play a critical role in the survival and thriving of L. fortunei, with the gill-associated microbiomes being particularly significant due to their involvement in filter feeding, nutrient metabolism, and symbiosis. However, research on microbiomes associated with L. fortunei remains limited, and studies specifically focusing on gill-associated microbiota are scarce, leaving a significant gap in our understanding of their ecological roles.
METHODS: In this study, gill-associated bacterial communities of the L. fortunei were compared with their surrounding water microbial populations in the largest water diversion projects (the Middle Route of the South-to-North Water Diversion Project) to elucidate their environmental adaptations and potential contribution to their hosts. Analyses included assessing bacterial diversity and composition, conducting Neutral Community Model (NCM) analysis to explore community assembly processes, constructing an environmental-microbial co-occurrence network to identify key environmental factors, and performing metagenomic analysis of gill samples to investigate functional genes.
RESULTS: Significant variations were observed in bacterial diversity and composition between gills and surrounding water. Sulfur oxidizing bacteria Pirellula, SM1A02, and Roseomonas were significantly enriched in gill-associated microbiota. Neutral community model (NCM) analysis unveiled that the assembly of gill microbial communities was primarily governed by stochastic processes, constrained by determined processes. Moreover, environmental-microbial co-occurrence network identified reduced sulfur as the key factor shaping the composition of bacterial communities. Metagenomic binning of gill samples further revealed that metagenome assembled genomes associated with Pirellula within the phylum Planctomycetota contained functional genes related to sulfide oxidation and resistant to oxidative stress.
DISCUSSION: This study provides systematic insights into the microbial community diversity, assembly patterns, and functional characteristics of L. fortunei gill-asscociated microbiota, contributing to a mechanistic understanding of their ecological roles.
          
Additional Links: PMID-41158770
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41158770,
            year = {2025},
            author = {Peng, Y and Huang, D and Li, J and Sun, X and Zhang, Q and Zhang, R and Yang, R and Li, B and Kong, T and Xiong, Z and Huang, Y and Chang, Z and Su, Y and Shang, Y and Ghani, MU and Wang, Y and Sun, W},
            title = {Investigation of the role of sulfide oxidation in the gill-associated microbiota of freshwater mussel Limnoperna fortunei.},
            journal = {Frontiers in microbiology},
            volume = {16},
            number = {},
            pages = {1671425},
            pmid = {41158770},
            issn = {1664-302X},
            abstract = {INTRODUCTION: Limnoperna fortunei is a notable invasive freshwater species, altering structure and function of natural and engineered aquatic ecosystems. The host-associated microbiomes play a critical role in the survival and thriving of L. fortunei, with the gill-associated microbiomes being particularly significant due to their involvement in filter feeding, nutrient metabolism, and symbiosis. However, research on microbiomes associated with L. fortunei remains limited, and studies specifically focusing on gill-associated microbiota are scarce, leaving a significant gap in our understanding of their ecological roles.
METHODS: In this study, gill-associated bacterial communities of the L. fortunei were compared with their surrounding water microbial populations in the largest water diversion projects (the Middle Route of the South-to-North Water Diversion Project) to elucidate their environmental adaptations and potential contribution to their hosts. Analyses included assessing bacterial diversity and composition, conducting Neutral Community Model (NCM) analysis to explore community assembly processes, constructing an environmental-microbial co-occurrence network to identify key environmental factors, and performing metagenomic analysis of gill samples to investigate functional genes.
RESULTS: Significant variations were observed in bacterial diversity and composition between gills and surrounding water. Sulfur oxidizing bacteria Pirellula, SM1A02, and Roseomonas were significantly enriched in gill-associated microbiota. Neutral community model (NCM) analysis unveiled that the assembly of gill microbial communities was primarily governed by stochastic processes, constrained by determined processes. Moreover, environmental-microbial co-occurrence network identified reduced sulfur as the key factor shaping the composition of bacterial communities. Metagenomic binning of gill samples further revealed that metagenome assembled genomes associated with Pirellula within the phylum Planctomycetota contained functional genes related to sulfide oxidation and resistant to oxidative stress.
DISCUSSION: This study provides systematic insights into the microbial community diversity, assembly patterns, and functional characteristics of L. fortunei gill-asscociated microbiota, contributing to a mechanistic understanding of their ecological roles.},
            }
          
            RevDate: 2025-10-29
CmpDate: 2025-10-29
          
Use of metagenomic next-generation sequencing for accurate diagnosis of tuberculous pleurisy: a retrospective cohort study.
Journal of thoracic disease, 17(9):6771-6778.
            BACKGROUND: Tuberculous pleurisy (TP) presents persistent diagnostic challenges owing to the suboptimal sensitivity of conventional microbiological assays. This study aimed to evaluate the diagnostic performance of metagenomic next-generation sequencing (mNGS) in diagnosing TP using formalin-fixed paraffin-embedded (FFPE) pleural biopsy tissues.
METHODS: This retrospective study evaluated the diagnostic efficacy of mNGS in FFPE pleural samples of suspected TP patients at The First Affiliated Hospital of Soochow University between April 1, 2018 and February 1, 2023. Those patients with inadequate pleural specimens for mNGS analysis were excluded. Diagnosis of TP was established according to the WS 288-2017 Health Industry Standard of the People's Republic of China.
RESULTS: A total of 73 patients were enrolled in this study and divided into the TP group and non-tuberculous pleurisy (NTP) group. The TP group comprised 51 patients with a median age of 52 years, including 33 (64.7%) males. The NTP group consisted of 22 patients with a median age of 64 years, including 13 (59.1%) males. Our results showed that mNGS assay on FFPE in pleural biopsies had a sensitivity of 78.43% [95% confidence interval (CI): 0.667-0.901] and a specificity of 100% (95% CI: 1.000-1.000) in diagnosing TP. In the 51 TP cases, mNGS detected Mycobacterium tuberculosis complex (MTBC) in 40 (78.43%) cases and non-tuberculous mycobacteria (NTM) in 31 (60.78%) cases. Of these, 16 cases were MTBC infections alone and 7 cases were NTM infections alone, while 24 were mixed MTBC and NTM infections.
CONCLUSIONS: mNGS of FFPE of pleural biopsy tissues not only improves the diagnostic efficiency of TP, but also potential accurately distinguishes between MTBC and NTM, providing molecular and microbial basis for the diagnosis of TP, which is helpful for the rapid diagnosis and precise treatment of TP.
          
Additional Links: PMID-41158352
PubMed:
Citation:
show bibtex listing
hide bibtex listing
            @article {pmid41158352,
            year = {2025},
            author = {Liu, J and Qian, H and Jin, J and Du, M and Wang, C and Yu, J and Pang, P and Shen, M and Mei, Z and Shi, Y and Wang, Z and Jiang, G and Guo, L and Zhong, C and Tang, P and Wang, Y and Shi, C and Ji, C},
            title = {Use of metagenomic next-generation sequencing for accurate diagnosis of tuberculous pleurisy: a retrospective cohort study.},
            journal = {Journal of thoracic disease},
            volume = {17},
            number = {9},
            pages = {6771-6778},
            pmid = {41158352},
            issn = {2072-1439},
            abstract = {BACKGROUND: Tuberculous pleurisy (TP) presents persistent diagnostic challenges owing to the suboptimal sensitivity of conventional microbiological assays. This study aimed to evaluate the diagnostic performance of metagenomic next-generation sequencing (mNGS) in diagnosing TP using formalin-fixed paraffin-embedded (FFPE) pleural biopsy tissues.
METHODS: This retrospective study evaluated the diagnostic efficacy of mNGS in FFPE pleural samples of suspected TP patients at The First Affiliated Hospital of Soochow University between April 1, 2018 and February 1, 2023. Those patients with inadequate pleural specimens for mNGS analysis were excluded. Diagnosis of TP was established according to the WS 288-2017 Health Industry Standard of the People's Republic of China.
RESULTS: A total of 73 patients were enrolled in this study and divided into the TP group and non-tuberculous pleurisy (NTP) group. The TP group comprised 51 patients with a median age of 52 years, including 33 (64.7%) males. The NTP group consisted of 22 patients with a median age of 64 years, including 13 (59.1%) males. Our results showed that mNGS assay on FFPE in pleural biopsies had a sensitivity of 78.43% [95% confidence interval (CI): 0.667-0.901] and a specificity of 100% (95% CI: 1.000-1.000) in diagnosing TP. In the 51 TP cases, mNGS detected Mycobacterium tuberculosis complex (MTBC) in 40 (78.43%) cases and non-tuberculous mycobacteria (NTM) in 31 (60.78%) cases. Of these, 16 cases were MTBC infections alone and 7 cases were NTM infections alone, while 24 were mixed MTBC and NTM infections.
CONCLUSIONS: mNGS of FFPE of pleural biopsy tissues not only improves the diagnostic efficiency of TP, but also potential accurately distinguishes between MTBC and NTM, providing molecular and microbial basis for the diagnosis of TP, which is helpful for the rapid diagnosis and precise treatment of TP.},
            }
          
▼ ▼ LOAD NEXT 100 CITATIONS
ESP Quick Facts
ESP Origins
In the early 1990's, Robert Robbins was a faculty member at Johns Hopkins, where he directed the informatics core of GDB — the human gene-mapping database of the international human genome project. To share papers with colleagues around the world, he set up a small paper-sharing section on his personal web page. This small project evolved into The Electronic Scholarly Publishing Project.
ESP Support
In 1995, Robbins became the VP/IT of the Fred Hutchinson Cancer Research Center in Seattle, WA. Soon after arriving in Seattle, Robbins secured funding, through the ELSI component of the US Human Genome Project, to create the original ESP.ORG web site, with the formal goal of providing free, world-wide access to the literature of classical genetics.
ESP Rationale
Although the methods of molecular biology can seem almost magical to the uninitiated, the original techniques of classical genetics are readily appreciated by one and all: cross individuals that differ in some inherited trait, collect all of the progeny, score their attributes, and propose mechanisms to explain the patterns of inheritance observed.
ESP Goal
In reading the early works of classical genetics, one is drawn, almost inexorably, into ever more complex models, until molecular explanations begin to seem both necessary and natural. At that point, the tools for understanding genome research are at hand. Assisting readers reach this point was the original goal of The Electronic Scholarly Publishing Project.
ESP Usage
Usage of the site grew rapidly and has remained high. Faculty began to use the site for their assigned readings. Other on-line publishers, ranging from The New York Times to Nature referenced ESP materials in their own publications. Nobel laureates (e.g., Joshua Lederberg) regularly used the site and even wrote to suggest changes and improvements.
ESP Content
When the site began, no journals were making their early content available in digital format. As a result, ESP was obliged to digitize classic literature before it could be made available. For many important papers — such as Mendel's original paper or the first genetic map — ESP had to produce entirely new typeset versions of the works, if they were to be available in a high-quality format.
ESP Help
Early support from the DOE component of the Human Genome Project was critically important for getting the ESP project on a firm foundation. Since that funding ended (nearly 20 years ago), the project has been operated as a purely volunteer effort. Anyone wishing to assist in these efforts should send an email to Robbins.
ESP Plans
With the development of methods for adding typeset side notes to PDF files, the ESP project now plans to add annotated versions of some classical papers to its holdings. We also plan to add new reference and pedagogical material. We have already started providing regularly updated, comprehensive bibliographies to the ESP.ORG site.
ESP Picks from Around the Web (updated 28 JUL 2024 )
Old Science
      Weird Science
      Treating Disease with Fecal Transplantation
Fossils of miniature humans (hobbits) discovered in Indonesia
Paleontology
      Dinosaur tail, complete with feathers, found preserved in amber.
Astronomy
      Mysterious fast radio burst (FRB) detected in the distant universe.
Big Data & Informatics
      Big Data: Buzzword or Big Deal?
Hacking the genome: Identifying anonymized human subjects using publicly available data.