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Bibliography on: Metagenomics

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ESP: PubMed Auto Bibliography 31 Oct 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®)

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RevDate: 2025-10-30

Cao Y, Zhu Y, He W, et al (2025)

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.

RevDate: 2025-10-30

Hamelin B, Hosch S, Neidhöfer C, et al (2025)

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.

RevDate: 2025-10-30

Feng Y, Liu S, Huang X, et al (2025)

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.

RevDate: 2025-10-30

Donovan J, Cresswell FV, Figaji A, et al (2025)

Integrating metagenomic sequencing into diagnostic pathways for tuberculous meningitis - Authors' reply.

RevDate: 2025-10-30

Lin SY, Chen CJ, PL Lu (2025)

Integrating metagenomic sequencing into diagnostic pathways for tuberculous meningitis.

RevDate: 2025-10-30

Cha JH, Kim N, Ma J, et al (2025)

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.

RevDate: 2025-10-30

Huang XC, Zheng SJ, Hu YL, et al (2025)

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.

RevDate: 2025-10-30

Zhang ZF, Huang JE, Phurbu D, et al (2025)

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.

RevDate: 2025-10-30

Ding W, Zhang H, Wen J, et al (2025)

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.

RevDate: 2025-10-30
CmpDate: 2025-10-30

de Farias BO, Dos Santos Lopes E, Pereira BC, et al (2025)

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.

RevDate: 2025-10-30

Eshak MIY, Breithaupt A, Tews BA, et al (2025)

Wǔhàn 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.

RevDate: 2025-10-30
CmpDate: 2025-10-30

Hosseinkhani F, Chevalier C, Marizzoni M, et al (2025)

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.

RevDate: 2025-10-30

Chen H, Lu Z, Xiao C, et al (2025)

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.

RevDate: 2025-10-30
CmpDate: 2025-10-30

Wei S, Yin H, Hu X, et al (2025)

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.

RevDate: 2025-10-30
CmpDate: 2025-10-30

Zhang Z, Lin J, Song X, et al (2025)

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.

RevDate: 2025-10-30
CmpDate: 2025-10-30

Ferreira R, Coelho L, Santos JD, et al (2025)

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.

RevDate: 2025-10-30
CmpDate: 2025-10-30

Yuan M, Wang Q, Lu Y, et al (2025)

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.

RevDate: 2025-10-30
CmpDate: 2025-10-30

Huang S, Chen Y, Lu X, et al (2025)

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.

RevDate: 2025-10-30
CmpDate: 2025-10-30

Qiu X, Zhang M, Zhang L, et al (2025)

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.

RevDate: 2025-10-30
CmpDate: 2025-10-30

Cole J, Raguideau S, Abbaszadeh-Dahaji P, et al (2025)

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.

RevDate: 2025-10-30
CmpDate: 2025-10-30

Xiao LF, Li Y, Lian H, et al (2025)

Comprehensive metagenomic analysis of the giant panda's oral microbiome reveals distinct taxonomic and functional characteristics.

Animal microbiome, 7(1):114.

RevDate: 2025-10-30
CmpDate: 2025-10-30

Wang C, Yang S, Liu Q, et al (2025)

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.

RevDate: 2025-10-30
CmpDate: 2025-10-30

Zhao Y, Yao S, Umar A, et al (2025)

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.

RevDate: 2025-10-29
CmpDate: 2025-10-29

Zhang Q, Zhang Y, Zhu J, et al (2025)

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.

RevDate: 2025-10-29
CmpDate: 2025-10-29

Hutchings P, Rowe CE, Byrne M, et al (2025)

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.

RevDate: 2025-10-29
CmpDate: 2025-10-29

Zhou Z, Lin JR, Li J, et al (2025)

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.

RevDate: 2025-10-29

Li R, Qiu C, Chen X, et al (2025)

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.

RevDate: 2025-10-29

Kadam R, Jo S, J Park (2025)

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.

RevDate: 2025-10-29

Rao H, Gao L, Zheng X, et al (2025)

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.

RevDate: 2025-10-29

Cai X, Yuan X, Singh AK, et al (2025)

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.

RevDate: 2025-10-29

Chi T, Liu Z, Zhang B, et al (2025)

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.

RevDate: 2025-10-29

Sun J, Tong X, Liu S, et al (2025)

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.

RevDate: 2025-10-29

Ekman M, Mahani AN, Aralaguppe SG, et al (2025)

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.

RevDate: 2025-10-29
CmpDate: 2025-10-29

Li Y, Zhu M, Wang W, et al (2025)

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.

RevDate: 2025-10-29
CmpDate: 2025-10-29

Begum M, Barsha KF, Rahman MM, et al (2025)

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.

RevDate: 2025-10-29
CmpDate: 2025-10-29

Abuzahrah SS (2025)

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.

RevDate: 2025-10-29

Anani H, Destras G, Regue H, et al (2025)

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.

RevDate: 2025-10-29

Spottiswoode N, Neyton LPA, Calfee CS, et al (2025)

Reply to Liu et al. and Chen et al.

American journal of respiratory and critical care medicine [Epub ahead of print].

RevDate: 2025-10-29

Schwab C, Lang H, Stegmüller S, et al (2025)

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.

RevDate: 2025-10-29
CmpDate: 2025-10-29

Peipert D, Montgomery TL, Toppen LC, et al (2025)

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.

RevDate: 2025-10-29
CmpDate: 2025-10-29

Skoog EJ, Cutts E, T Bosak (2025)

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.

RevDate: 2025-10-29
CmpDate: 2025-10-29

Peng Y, Huang D, Li J, et al (2025)

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.

RevDate: 2025-10-29
CmpDate: 2025-10-29

Liu J, Qian H, Jin J, et al (2025)

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.

RevDate: 2025-10-29
CmpDate: 2025-10-29

Fatemi S, Kriefall NG, Yogi D, et al (2025)

Microbial composition and function are nested and shaped by food web topologies.

ISME communications, 5(1):ycaf175.

Food webs govern interactions among organisms and drive energy fluxes within ecosystems. With an increasing appreciation for the role of symbiotic microbes in host metabolism and development, it is imperative to understand the extent to which microbes conform to, and potentially influence, canonical food web efficiencies and structures. Here, we investigate whether bacteria and their taxa and functional genes are compositionally nested within a simple model food web hierarchy, and the extent to which this is predicted by the trophic position of the host. Using shotgun and amplicon sequencing of discrete food web compartments within replicate tank bromeliads, we find that both taxonomy and function are compositionally nested and largely mirror the pyramid-shaped distribution of food webs. Further, nearly the entirety of bacterial taxa and functional genes associated with hosts are contained within host-independent environmental samples. Community composition of bacterial taxa did not significantly correlate with that of functional genes, indicating a high likelihood of functional redundancy. Whereas bacterial taxa were shaped by both location and trophic position of their host, functional genes were not spatially structured. Our work illustrates the advantages of applying food web ecology to predict patterns of overlapping microbiome composition among unrelated hosts and distinct habitats. Because bacterial symbionts are critical components of host metabolic potential, this result raises important questions about whether bacterial consortia are shaped by the same energetic constraints as hosts, and whether they play an active role in food web efficiency.

RevDate: 2025-10-29
CmpDate: 2025-10-29

Apanasevich M, Dubovitskiy N, Derko A, et al (2025)

Genomic Characterization of a Novel Yezo Virus Revealed in Ixodes pavlovskyi Tick Virome in Western Siberia.

Viruses, 17(10): pii:v17101362.

Ixodid ticks are blood-sucking ectoparasites of vertebrates. They constitute an integral part of natural foci and are responsible for the worldwide transmission of infections to humans, which can result in severe symptoms. For instance, the Tomsk region, where three abundant tick species (Dermacentor reticulatus, Ixodes pavlovskyi, I. persulcatus) occur, is an endemic area for tick-borne encephalitis virus (TBEV). An increasing number of novel infectious agents carried by ticks have been identified using metagenomic sequencing. A notable example is the Yezo virus (Orthonairovirus yezoense, YEZV), which was discovered in patients with fever after tick bites in Japan and China between 2014 and 2025. For the first time, we have performed metagenomic sequencing of the virome of ticks collected in the Tomsk region. In a sample obtained from a pool of I. pavlovskyi ticks, all three segments of the YEZV genome were detected. The phylogenetic analysis showed that the newly identified isolate formed a sister group to previously described virus isolates, indicating the presence of a new genetic variant. This study presents the first report of YEZV detection in I. pavlovskyi ticks in the Tomsk region, thereby expanding the geographical range and number of vector species for YEZV and highlighting the importance of monitoring viral agents circulating among ticks in Western Siberia.

RevDate: 2025-10-29
CmpDate: 2025-10-29

Weary TE, Zhou LH, MacDonald L, et al (2025)

Novel Bat Adenovirus Closely Related to Canine Adenoviruses Identified via Fecal Virome Surveillance of Bats in New Mexico, USA, 2020-2021.

Viruses, 17(10): pii:v17101349.

Bats host a wide range of viruses, including several high-profile pathogens of humans and other animals. The COVID-19 pandemic raised the level of concern regarding the risk of spillover of bat-borne viruses to humans and, conversely, human-borne viruses to bats. From August 2020 to July 2021, we conducted viral surveillance on 254 bats from 10 species across urban, periurban, and rural environments in New Mexico, USA. We used a pan-coronavirus RT-PCR to assay rectal swabs and performed metagenomic sequencing on a representative subset of 14 rectal swabs and colon samples. No coronaviruses were detected by either RT-PCR or metagenomic sequencing. However, four novel viruses were identified: an adenovirus (proposed name lacepfus virus, LCPV), an adeno-associated virus (AAV), an astrovirus (AstV), and a genomovirus (GV). LCPV, detected in a big brown bat (Eptesicus fuscus), is more closely related to canine adenoviruses than to other bat adenoviruses, suggesting historical transmission between bats and dogs. All virus-positive bats were either juvenile or adult individuals captured in urban environments; none exhibited obvious clinical signs of disease. Our findings suggest limited or no circulation of enzootic coronaviruses or SARS-CoV-2 in southwestern U.S. bat populations during the study period. The discovery of a genetically distinct adenovirus related to canine adenoviruses highlights the potential for cross-species viral transmission and underscores the value of continued virome surveillance in animals living with and near humans.

RevDate: 2025-10-29
CmpDate: 2025-10-29

Zisi Z, Ruiz Movilla I, Basler N, et al (2025)

Metagenomics Study of the Commercial Tomato Virome Focused on Virus Species of Epidemiological Interest.

Viruses, 17(10): pii:v17101334.

Plant viruses have detrimental effects on commercial tomato cultivation leading to severe economic consequences. Viral metagenomics studies provide the opportunity to examine in depth the virome composition of a sample set without any pre-existing knowledge of the viral species that are present. In the present study, 101 plant samples were collected from commercial greenhouses in 13 countries in Europe, Africa, Asia, and North America between 2017 and 2024. All samples were processed with the VLP enrichment protocol NetoVIR and the obtained data were analyzed with the ViPER pipeline. Forty-three eukaryotic viral species were identified, with a median identification of 2 species per sample. The most prevalent viral species were pepino mosaic virus (PepMV), tomato brown rugose fruit virus (ToBRFV), and southern tomato virus (STV). The obtained genome sequences were used to study the diversity and phylogeny of these viruses. The three genotypes identified for PepMV showed low diversity within each genotype (96.2-99.0% nucleotide identity). Low isolate diversity was also found for ToBRFV and STV. No significant association could be found between STV identification and the presence of symptoms, questioning the pathogenic potential of STV. Three other pathogenic viral species of particular interest due to their effects on tomato cultivation or recent emergence, namely tomato torrado virus (ToTV), tomato fruit blotch virus (ToFBV), and cucumber mosaic virus (CMV), were part of the virome with low prevalence. Our study provided a comprehensive overview of the analyzed samples' virome, as well as the possibility to inspect the genetic diversity of the identified viral genomes and to look into their potential role in symptom development.

RevDate: 2025-10-29
CmpDate: 2025-10-29

Haisi A, Nogueira MF, Possebon FS, et al (2025)

Viral Community and Novel Viral Genomes Associated with the Sugarcane Weevil, Sphenophorus levis (Coleoptera: Curculionidae) in Brazil.

Viruses, 17(10): pii:v17101312.

Sphenophorus levis, commonly known as the sugarcane weevil, is one of the most important pests affecting Brazilian sugarcane crops. It has spread to all sugarcane-producing regions of Brazil, mainly through contaminated stalks. Effective control of this pest is difficult due to the protection conferred by the host plant during the larval stage. As a result, despite current control measures, S. levis populations continue to grow, and reports of new infestations remain frequent. Biotechnological control measures, such as the use of viruses, stands as a promising tool for pest control in agriculture. The aim of this study was to explore the RNA virome associated with S. levis using a viral metagenomic approach. Through the Read Annotation Tool (RAT) pipeline, we characterized, for the first time, the gut-associated viral community in adult weevils, identifying several novel viral genomes. Sphenophorus levis-associated virus (SLAV) had 12,414 nucleotides (nt); Sphenophorus levis tombus-like virus (SLTV) had 4085 nt; and the four genomic segments of Sphenophorus levis reo-like virus (SLRV) ranged from 2021 to 4386 nt. These genomes were assembled from 65,759 reads (SLAV), 114,441 reads (SLTV), and 270,384 reads (SLRV). Among the detected viral families, Partitiviridae was the most abundant. The identification of possible viral pathogens lays the foundation for future research into their potential use as biological control agents against S. levis.

RevDate: 2025-10-29
CmpDate: 2025-10-29

Al-Khalaifah H, Rahman MH, Al-Surrayai T, et al (2025)

A One-Health Perspective of Antimicrobial Resistance (AMR): Human, Animals and Environmental Health.

Life (Basel, Switzerland), 15(10): pii:life15101598.

Antibiotics are essential for treating bacterial and fungal infections in plants, animals, and humans. Their widespread use in agriculture and the food industry has significantly enhanced animal health and productivity. However, extensive and often inappropriate antibiotic use has driven the emergence and spread of antimicrobial resistance (AMR), a global health crisis marked by the reduced efficacy of antimicrobial treatments. Recognized by the World Health Organization (WHO) as one of the top ten global public health threats, AMR arises when certain bacteria harbor antimicrobial resistance genes (ARGs) that confer resistance that can be horizontally transferred to other bacteria, accelerating resistance spread in the environment. AMR poses a significant global health challenge, affecting humans, animals, and the environment alike. A One-Health perspective highlights the interconnected nature of these domains, emphasizing that resistant microorganisms spread across healthcare, agriculture, and the environment. Recent scientific advances such as metagenomic sequencing for resistance surveillance, innovative wastewater treatment technologies (e.g., ozonation, UV, membrane filtration), and the development of vaccines and probiotics as alternatives to antibiotics in livestock are helping to mitigate resistance. At the policy level, global initiatives including the WHO Global Action Plan on AMR, coordinated efforts by (Food and Agriculture Organization) FAO and World Organisation for Animal Health (WOAH), and recommendations from the O'Neill Report underscore the urgent need for international collaboration and sustainable interventions. By integrating these scientific and policy responses within the One-Health framework, stakeholders can improve antibiotic stewardship, reduce environmental contamination, and safeguard effective treatments for the future.

RevDate: 2025-10-29
CmpDate: 2025-10-29

Liu Y, Shang Y, Wang X, et al (2025)

Metagenomics and In Vitro Growth-Promoting Experiments Revealed the Potential Roles of Mycorrhizal Fungus Humicolopsis cephalosporioides and Helper Bacteria in Cheilotheca humilis Growth.

Microorganisms, 13(10): pii:microorganisms13102387.

In mycorrhizal symbiotic relationships, non-photosynthetic myco-heterotrophic plants are unable to supply photosynthates to their associated fungi. On the contrary, they rely on fungal carbon to sustain their own growth. Mycorrhizal fungi can mediate plant interactions with the rhizosphere microbiome, which contributes to the promotion of plant growth and nutrient uptake. However, the microbial community and key microbial species that function during the growth of the myco-heterotrophic plant Cheilotheca humilis remain unclear. In this study, we evaluated the microbial community associated with Cheilotheca humilis, which was confirmed via morphological characteristics typical of this plant species. Metagenomic analysis showed that the Afipia carboxidovorans was dominant at species level. Based on the LDA score, Bradyrhizobium ottawaense exhibited the higher abundance in the CH-B group (related to bud) while Afipia carboxidovorans was identified from the CH-F group (related to flower). Microbial co-occurrence networks showed that the Rhizobium genus, Herbaspirillum genus, and Cyanobacteriota were defined as core functional microbial species. To explore the potential microorganisms, metagenome-assembled genomes (MAGs) of the rhizosphere microbiome identified 14 medium- and high-quality MAGs, mainly involved in carbon fixation, nitrogen transformation, and phosphorus metabolism, possibly providing nutrients for the plant. Furthermore, a total of 67 rhizospheric and 66 endophytic microorganisms were isolated and obtained. In vitro experiments showed that the mycorrhizal helper bacteria (MHBs) Rhizobium genus and Pseudomonas genus possessed the ability of nitrogen fixation, phosphate solubilization, and siderophores production. Most importantly, the mycorrhizal fungus Humicolopsis cephalosporioides was obtained, which could potentially produce cellulase to supply carbohydrates for host. The findings suggest the mycorrhizal fungus Humicolopsis cephalosporioides and helper bacteria have great potential in the growth of the myco-heterotrophic plant Cheilotheca humilis.

RevDate: 2025-10-29
CmpDate: 2025-10-29

Kakumyan P, Yang L, Liu S, et al (2025)

Sustainable Recycling of Mushroom Residue as an Effective Substitute for Cotton Hull Waste in Volvariella volvacea Cultivation: Evidence from Physicochemical and Microbiome Analyses.

Microorganisms, 13(10): pii:microorganisms13102372.

Mushroom residue (MR) is extensively produced during the industrialized cultivation of mushrooms, and its utilization is environmentally sustainable. Cotton hull waste (CW) serves as a common raw material for the cultivation of Volvariella volvacea in China. This study compared MR- and CW-based cultivation formulas with respect to their physicochemical characteristics, bacterial communities, and functional dynamics during substrate fermentation (composting). Xylanase production was greater in the MR formula than in the CW formula. Conversely, cellulase (CMCase) was generated at higher levels in the CW formula compared to the MR formula. Interestingly, the biological efficiency of MR was found to be comparable to that of CW, but the cost of MR was much lower. The dynamics of bacterial communities and their associated metabolic functions during substrate fermentation were monitored using 16S rRNA metagenomics techniques. Significant alterations in bacterial community structure were observed within both formulas throughout the preparation phase. Indicator species analysis revealed distinct patterns of bacterial diversity development between MR- and CW-based composts during fermentation. Metabolic function analysis indicated that carbohydrate and amino acid metabolism remained relatively active throughout this process. These results suggest that the MR formula is equally effective as conventional CW compost for supporting V. volvacea cultivation, while also offering a lower raw material cost.

RevDate: 2025-10-29
CmpDate: 2025-10-29

Xing L, Niu S, Wu D, et al (2025)

Sodium Butyrate Supplementation in Whole Milk Modulates the Gastrointestinal Microbiota Without Altering the Resistome and Virulome in Preweaned Calves.

Microorganisms, 13(10): pii:microorganisms13102375.

This study investigated the effects of supplementing whole milk (WM) with sodium butyrate (SB) on the gastrointestinal microbiota of preweaned calves. Twelve newborn Holstein calves (4 days old, 39.21 ± 1.45 kg) were randomly assigned into one of two dietary treatments: (1) WM without SB (CON) and (2) WM supplemented with SB (8.8 g/d; SB). At 74 days of age, all calves were slaughtered to collect ruminal and cecal digesta. Metagenomic analysis was used to characterize the microbial composition, virulence factor genes (VFGs), and antibiotic resistance genes (ARGs). SB supplementation altered the ruminal microbial composition and increased the abundance of beneficial bacteria, including Actinobacteria, Bifidobacterium, and Olsenella (p < 0.05). Although SB did not significantly affect the overall microbial composition or diversity in the cecum (p > 0.05), it promoted the growth of beneficial genera such as Flavonifractor and Subdoligranulum (p < 0.05). Furthermore, SB supplementation did not significantly alter the composition of VFGs or ARGs in either the rumen or the cecum (p > 0.05). However, significant differences in VFGs and ARGs were observed between the rumen and the cecum, with a greater diversity of both VFGs and ARGs detected in the cecum compared to that in the rumen (p < 0.05). In summary, supplementing whole milk with sodium butyrate modulates gastrointestinal health in preweaned calves by favorably shaping the microbial community without significantly altering the antibiotic resistome or virulome.

RevDate: 2025-10-29
CmpDate: 2025-10-29

Tokamani M, Liakopoulos P, Tegopoulos K, et al (2025)

Spatiotemporal Dynamics of Microbial and Fish Communities in the Thracian Sea Revealed by eDNA Metabarcoding.

Microorganisms, 13(10): pii:microorganisms13102373.

The Thracian Sea, a semi-enclosed coastal basin in the northeastern Aegean Sea, represents a dynamic marine environment influenced by freshwater inputs, stratification, and seasonal variability. Here, we investigated the spatiotemporal dynamics of microbial and ichthyofaunal communities using environmental DNA (eDNA) and high-throughput sequencing across various stations in the vicinity of the Thracian Sea, in consecutive months (through spring and summer). Seawater samples were collected from the surface and thermocline layers, and environmental parameters were recorded to examine their influence on biodiversity patterns. Microbial communities exhibited strong seasonal and depth-related structuring. Alpha diversity was highest in spring and declined during summer, while beta diversity analyses revealed clear clustering by month and depth. Dominant taxa included Alphaproteobacteria (SAR11), Cyanobacteria (Synechococcus, Prochlorococcus), with distinct core microbiomes. Fish communities, identified via CytB metabarcoding, displayed marked temporal turnover but limited spatial segregation. While alpha diversity metrics did not differ significantly, beta diversity analyses showed seasonal shifts with dominant taxa such as Raja spp., Engraulis spp., and Diplodus sargus. Multivariate and co-structure analyses (Mantel, Procrustes) revealed moderate but significant concordance between microbial and fish communities and support the existence of similar biodiversity responses to environmental parameters across temporal and spatial variability. Co-occurrence networks further present depth-specific associations, with surface communities being more cooperative and phototrophic, while thermocline networks showed modularity and potential ecological specialization. This study highlights the value of integrated eDNA-based monitoring in revealing seasonal biodiversity dynamics and ecological interactions in coastal marine ecosystems, supporting future spatial planning and conservation strategies in the Thracian Sea.

RevDate: 2025-10-29
CmpDate: 2025-10-29

Stock EK, Rota K, Dunn B, et al (2025)

Seasonal Variations of the Nebraska Salt Marsh Microbiome: Environmental Impact, Antibiotic Resistance, and Unique Species.

Microorganisms, 13(10): pii:microorganisms13102369.

The Nebraska Salt Marshes are unique inland saltwater ecosystems, and this exploratory study is aimed at understanding the microbial composition and diversity that is providing the underlying support for these ecosystems. The microbiome shows both temporal and spatial variations that are concurrent with seasonal variations in salinity, temperature, and vegetation growth. Whole genome metagenomics analysis showed the predominance of purple non-sulfur bacteria in each season, indicating their importance in the marsh ecosystem. The fall season showed the highest microbial diversity and coincided with the highest levels of antimicrobial resistance markers to a variety of natural and synthetic antibiotics. In addition to the metagenomics approach, we also isolated and sequenced several unique species, most of them belonging to what appear to be new species of purple non-sulfur or purple sulfur bacteria. Both the metagenomics analysis and isolated species indicate that the nitrogen and sulfur cycling is well balanced in these marshes by a high relative abundance of purple bacteria. Noteworthy is the isolation of a new strain of Vibrio cholerae, which is a known human intestinal pathogen, that was predominantly present in the fall samples carrying several antibiotic resistance markers. Overall, the Nebraska salt marsh microbiome showcases both seasonal variations in microbial composition, a concerning prevalence of multiple antibiotic resistance, and the presence of unique bacterial species well-adapted to its distinctive alkaline and saline environment.

RevDate: 2025-10-29
CmpDate: 2025-10-29

Lorenzin G, M Carlin (2025)

Comparative Meta-Analysis of Long-Read and Short-Read Sequencing for Metagenomic Profiling of the Lower Respiratory Tract Infections.

Microorganisms, 13(10): pii:microorganisms13102366.

Metagenomic next-generation sequencing (mNGS) is increasingly employed for the diagnosis of lower respiratory tract infections (LRTIs). However, the relative diagnostic performance of long-read versus short-read sequencing platforms remains incompletely defined. For this systematic review, a search was conducted in PubMed, Embase, Scopus, Web of Science, and Google Scholar to identify studies directly comparing long-read (e.g., Oxford Nanopore, PacBio) and short-read (e.g., Illumina, Ion Torrent, BGISEQ) metagenomic sequencing for the diagnosis of LRTI. Eligible studies reported diagnostic accuracy or comparative performance between platforms. Risk of bias was evaluated using the QUADAS-2 tool. Thirteen studies met inclusion criteria. Reported platforms included Illumina, Oxford Nanopore, PacBio, Ion Torrent, and BGISEQ-500. A total of 13 studies met inclusion criteria. Across studies reporting sensitivity, average sensitivity was similar for Illumina (71.8%) and Nanopore (71.9%). Specificity varied substantially, ranging from 42.9 to 95% for Illumina and 28.6 to 100% for Nanopore. Concordance between platforms ranged from 56 to 100%. Illumina consistently produced superior genome coverage (approaching 100% in most reports) and higher per-base accuracy, whereas Nanopore demonstrated faster turnaround times (<24 h), greater flexibility in pathogen detection, and superior sensitivity for Mycobacterium species. Risk of bias was frequently high or unclear, particularly in patient selection (6 studies), index test interpretation (5), and flow and timing (4), limiting the robustness of pooled estimates. Long-read and short-read mNGS platforms exhibit comparable strengths in the diagnosis of LRTIs. Illumina remains optimal for applications requiring maximal accuracy and genome coverage, whereas Nanopore offers rapid, versatile pathogen detection, particularly for difficult-to-detect organisms such as Mycobacterium. However, there are certain limitations of the review, including a lack of comparable outcomes reported in all studies; therefore, further research is warranted to address this.

RevDate: 2025-10-29
CmpDate: 2025-10-29

Mollova D, Baev V, I Iliev (2025)

In Vitro Probiotic Modulation of Specific Dietary Complex Sugar Consumption in Fecal Cultures in Infants.

Microorganisms, 13(10): pii:microorganisms13102352.

Establishing the relative stability of the gastrointestinal microbiome after birth is a long and complex process, and it occurs under various influences. The human gut microbiome plays a crucial role in influencing an individual's health and well-being across all stages of life. Breastfeeding, the introduction of solid food at a certain stage after birth, and the type of food largely determine the composition of the developing microbiome. The influence of probiotics on the early development of the microbiome is gaining increasing interest. The method of in vitro co-cultivation with probiotic strains provides a clearer picture of the influence of these microorganisms on the community and the functional changes that the infant's microbiome undergoes. We used fecal samples to study this influence by conducting metagenomic sequencing to determine the composition of the microbiome and a series of cultivations to determine the absorption of various fibers and prebiotic sugars from breast milk. We found statistically significant differences in the absorption of prebiotic sugars isolated from breast milk, as well as better absorption of several substrates in the presence of a probiotic strain.

RevDate: 2025-10-29
CmpDate: 2025-10-29

Mqambalala A, Maleke M, Deysel LM, et al (2025)

First Insight into the Natural Attenuation of Emerging Contaminants Using a Metagenomics Approach from Drinking Water Sources in the Free State.

Microorganisms, 13(10): pii:microorganisms13102349.

Emerging contaminants have gained interest over the years due to their adverse effects on the aquatic environment. Therefore, it is essential to improve the current strategies for their removal. Biodegradation has emerged as an efficient strategy driven by microorganisms through metabolism and co-metabolism pathways. Enzymes encoded by specific genes facilitate these processes. This study aimed to identify and quantify the genes involved in these pathways. The research identified bacterial species belonging to the genera Pseudomonas, Nitrosomonas, Nitrosospira, and Methylotenera, which are associated with the degradation of emerging contaminants. Additionally, it successfully identified genes linked to metabolism and co-metabolism processes within the indigenous bacteria (MAGs). The findings suggest that the native bacteria in the samples may have the natural potential to mitigate emerging contaminants in aquatic environments through the combined actions of metabolism and co-metabolism.

RevDate: 2025-10-29
CmpDate: 2025-10-29

Wang J, Gu H, Gao H, et al (2025)

Insights into Cold-Season Adaptation of Mongolian Wild Asses Revealed by Gut Microbiome Metagenomics.

Microorganisms, 13(10): pii:microorganisms13102304.

The Mongolian wild ass (Equus hemionus hemionus) is a flagship species of the desert-steppe ecosystem in Asia, and understanding its strategies for coping with cold environments is vital for both revealing its survival mechanisms and informing conservation efforts. In this study, we employed metagenomic sequencing to characterize the composition and functional potential of the gut microbiota, and applied DNA metabarcoding of the chloroplast trnL (UAA) g-h fragment to analyze dietary composition, aiming to reveal seasonal variations and the interplay between dietary plant composition and gut microbial communities. In the cold season, Bacteroidota and Euryarchaeota were significantly enriched, suggesting enhanced fiber degradation and energy extraction from low-quality forage. Moreover, genera such as Bacteroides and Alistipes were also significantly enriched and associated with short-chain fatty acid (SCFA) metabolism, bile acid tolerance, and immune modulation. In the cold season, higher Simpson index values and tighter principal coordinates analysis (PCoA) clustering indicated a more diverse and stable microbiota under harsh environmental conditions, which may represent an important microecological strategy for the host to cope with extreme environments. Functional predictions based on the Kyoto Encyclopedia of Genes and Genomes (KEGG) further indicated upregulation of metabolic and signaling pathways, including ABC transporters, two-component systems, and quorum sensing, suggesting multi-level microbial responses to low temperatures and nutritional stress. trnL-based plant composition analysis indicated seasonal shifts, with Tamaricaceae detected more in the warm season and Poaceae, Chenopodiaceae, and Amaryllidaceae detected more in the cold season. Correlation analyses revealed that dominant microbial phyla were associated with the degradation of fiber, polysaccharides, and plant secondary metabolites, which may help maintain host energy and metabolic homeostasis. Despite the limited sample size and cross-sectional design, our findings highlight that gut microbial composition and structure may be important for host adaptation to cold environments and may also serve as a useful reference for future studies on the adaptive mechanisms and conservation strategies of endangered herbivores, including the Mongolian wild ass.

RevDate: 2025-10-29
CmpDate: 2025-10-29

Carnaggio AA, MM Barthet (2025)

It's a Question at the 'Root' of the Problem: Fungal Associations of Dionaea muscipula (Venus' Flytrap) Roots in Its Native Habitat.

Microorganisms, 13(10): pii:microorganisms13102269.

Carnivorous plants survive in harsh habitats with limited nutrients and a low pH. Much focus has been placed on carnivorous trap evolution as the primary mechanism to increase nutrient acquisition through insect digestion. Soil microbiome, however, may also play a pertinent role in nutrient acquisition influencing plant vigor and overall success. Dionaea muscipula, commonly known as the Venus' flytrap, is endemic to rims of the Carolina Bays located in southeast North Carolina and northeast South Carolina, where D. muscipula survives in nutrient poor soils with a vestigial root system. We utilized a combination of microscopy, plating, and metagenomics, to investigate the presence/absence of fungal partners that may contribute to success and vigor of D. muscipula in its native habitat in order to further conservation of this carnivorous plant. Results support that D. muscipula forms both mycorrhizal and fungal endophytic associations, most likely to aid nutrient uptake from otherwise nutrient-poor soils, as well as aid in stress defense. Several ectomycorrhizal, endophytic, and saprophytic fungal species were identified from the surrounding rhizosphere of D. muscipula roots presenting a first glimpse into fungal communities that may influence D. muscipula physiology and compose the microbiome of the Carolina Bays ecosystem.

RevDate: 2025-10-29
CmpDate: 2025-10-29

Wang Y, Shi F, Lang F, et al (2025)

Ecological Imprint of Rare Earth Mining on Microbial Communities and Water Quality Across Depth and Distance Gradients in Ganzhou, China.

Microorganisms, 13(10): pii:microorganisms13102236.

Rare earth element (REE) mining exerts profound impacts on aquatic ecosystems, yet the microbial community responses and water quality under such stress remain underexplored. In this study, the surface (0.2 m) and subsurface (1.0 m) water along a spatial transect from proximal to distal points was investigated in a REE-mining area of Ganzhou, China. Physicochemical analyses revealed pronounced gradients of nitrogen (e.g., NH4[+]-N, NO3[-]-N), heavy metals (e.g., Mn, Zn, Pb), and REEs (e.g., La, Nd, Ce), with higher accumulation near mining sources and partial attenuation downstream. Dissolved oxygen and redox potential indicated mildly reducing conditions at contaminated points, potentially promoting denitrification and altering nitrogen cycling. Metagenomic sequencing showed significant shifts in microbial community composition, with enrichment of metal- and nitrogen-tolerant taxa, and key denitrifiers (e.g., Acidovorax, Bradyrhizobium, Rhodanobacter), particularly at upstream polluted points. KEGG-based gene annotation highlighted dynamic nitrogen transformations mediated by multiple pathways, including nitrification, denitrification, dissimilatory nitrate reduction to ammonium, and nitrogen fixation. Notably, genes associated with nitrite and nitrate reduction (e.g., nir, nar, nrf) were enriched near mining sources, indicating enhanced nitrogen conversion potential, while downstream activation of nitrogen-fixing genes suggested partial ecosystem recovery. Meanwhile, some microbial such as Variovorax carried metal tolerant genes (e.g., ars, chr, cnr). These findings demonstrate that REE and heavy metal contamination restructure microbial networks, modulate nitrogen cycling, and create localized ecological stress gradients. This study provides a comprehensive assessment of mining-related water pollution, microbial responses, and ecological risks, offering valuable insights for monitoring, restoration, and sustainable management of REE-impacted aquatic environments.

RevDate: 2025-10-29
CmpDate: 2025-10-29

Sultankulova KT, Kozhabergenov NS, Shynybekova GO, et al (2025)

Metagenomic Profile of Bacterial Communities of Hyalomma scupense and Hyalomma asiaticum Ticks in Kazakhstan.

Pathogens (Basel, Switzerland), 14(10): pii:pathogens14101008.

Ticks are important vectors of pathogens affecting humans and animals, posing a serious threat to health. For the first time, we studied the metagenomic profile of the microbial composition of Hyalomma scupense and Hyalomma asiaticum ticks in Kazakhstan. A total of 94 adult H. asiaticum and H. scupense ticks collected from randomly selected cattle in Kazakhstan in 2023 were analyzed. 16S rRNA gene sequencing was performed using the Ion Torrent NGS platform. Taxonomic classification was carried out in the BV-BRC platform with the Kraken2 database. Metagenomic analysis revealed 26 bacterial genera, including both pathogenic and symbiotic taxa. In H. scupense, the dominant groups were Francisella (89.0%), Staphylococcus (76.0%) and Candidatus Midichloria (61.0%), while in H. asiaticum, they were Francisella (99.0% and 95.0%) and Helcococcus (65.0%). In male H. scupense, the proportion of Francisella reached 89%, whereas in females, it varied from 2% to 28%. In H. asiaticum, Helcococcus accounted for 65% in males compared to 11% in females. This is the first report on the metagenomic profile of the microbiota of H. scupense and H. asiaticum in Kazakhstan. The detection of pathogens indicates a risk of their transmission to humans and animals and highlights the need to develop new tick control strategies.

RevDate: 2025-10-29
CmpDate: 2025-10-29

Dao TK, Pham TTN, Nguyen HD, et al (2025)

Metagenomic Analysis of the Gastrointestinal Phageome and Incorporated Dysbiosis in Children with Persistent Diarrhea of Unknown Etiology in Vietnam.

Pathogens (Basel, Switzerland), 14(10): pii:pathogens14100985.

Persistent diarrhea of unknown etiology in children under 2 years of age is a common problem and poses a major challenge for the health sector. However, knowledge of the composition and dysbiosis of the intestinal phageome, phage-associated bacteriome in the persistent diarrhea remains limited. In this study, a process for phage enrichment and metagenomic extraction was developed and applied to recover gut phage metagenomes from 30 healthy children and 30 children with persistent diarrhea for high-throughput sequencing. Taxonomic annotation using Kraken2 revealed that, besides Norwalk virus, Primate bocaparvovirus 1 and Human-associated gemykibivirus 2, phage communities in the diarrhea group showed reduced diversity and contained sample-dependent phages targeting Salmonella enterica, Enterobacter, Shigella flexneri, Clostridioides difficile, Pseudomonas aeruginosa, Streptococcus miti, uropathogenic Escherichia coli and functioned balancing bacterial communities. Bacterial fraction in the metagenomic datasets reflected clear patterns of dysbiosis, including a severe deficiency of beneficial bacteria, an increase in Firmicutes, a marked decline in Actinobacteria, Bacteroidetes, Proteobacteria and sample-dependent enrichment of Enterococcus, Escherichia and Acinetobacter in diarrhea cases. This study, for the first time, investigated the dynamics of gut phageome, phage-associated bacteriome in children with persistent diarrhea of unknown causes in Vietnam, providing new insight for complementary treatment.

RevDate: 2025-10-29
CmpDate: 2025-10-29

Modrego J, Pantoja-Arévalo L, Gómez-Garre D, et al (2025)

Dairy-Gut Microbiome Interactions: Implications for Immunity, Adverse Reactions to Food, Physical Performance and Cardiometabolic Health-A Narrative Review.

Nutrients, 17(20): pii:nu17203312.

Background/Objective: Milk and fermented dairy products are widely consumed functional foods and beverages, offering not only essential nutrients but also bioactive compounds with potential to modulate host immunity, metabolism, and the gut microbiome. This narrative review aims to synthesize current knowledge on the relationship between dairy consumption, gut microbiome, immune modulation, adverse reactions to food, physical performance and cardiometabolic health. Methods: An extensive literature analysis was conducted to explore how milk and fermented dairy products modulate the gut microbiome and influence the immune and cardiometabolic health. This study synthesis focused on key dairy bioactive compounds, such as probiotics, miRNAs, milk-derived peptides and exosomes and on evaluating their proposed mechanisms of action in inflammation and metabolic regulation, and their possible influence on physical performance through gut-microbiome interactions. Additionally, advances in metagenomic and metabolomic technologies were reviewed for their potential to uncover host-microbiota interactions relevant to precision nutrition strategies. Results: Fermented dairy products have shown potential in promoting beneficial bacteria growth such as Lactobacillus and Bifidobacterium, short-chain fatty acid synthesis and reduction in proinflammatory biomarkers. Specific dairy-derived peptides and exosomal components may further support gut barrier integrity, immune regulation and improve physical performance and reduce cardiometabolic risk factors. Additionally, emerging evidence links individual gut microbiota profiles to specific metabolic responses, including tolerance to lactose and bovine milk proteins. Conclusions: Integrating microbiome science with traditional nutritional paradigms enhances our understanding of how dairy influences immune and cardiometabolic health. Overall, current evidence suggests that investigating dairy-microbiome interactions, alongside lifestyle factors such as physical activity, may inform future personalized nutrition strategies aimed at supporting metabolic and immune health.

RevDate: 2025-10-29
CmpDate: 2025-10-29

Bodnár K, Fehér P, Ujhelyi Z, et al (2025)

Formulation and Testing of Alginate Microbeads Containing Salvia officinalis Extract and Prebiotics.

Pharmaceutics, 17(10): pii:pharmaceutics17101308.

Background/Objectives: This study aimed to develop an advanced oral delivery platform for Salvia officinalis (S. officinalis) extract by co-encapsulating it with inulin and pectin in alginate-based microbeads, formulated via ionic gelation. Methods: The microbeads were comprehensively characterized, including the assessment of morphology, particle size, encapsulation efficiency, swelling behavior, in vitro dissolution, and enzymatic stability, and Caco-2 cell-based assays for cytocompatibility, permeability, and transepithelial electrical resistance. Antioxidant capacity and anti-inflammatory effects were also evaluated. Results: The resulting microbeads (~275 µm) achieved > 90% encapsulation efficiency and exhibited pronounced swelling (~90%). The release of S. officinalis constituents displayed pH sensitivity, with sustained release in simulated intestinal fluid, alongside significant enhancement of enzymatic stability. Encapsulation led to markedly improved permeability of bioactive compounds across Caco-2 monolayers, attributable to reversible modulation of tight junctions. Encapsulated extract retained potent antioxidant activity and significantly reduced pro-inflammatory cytokines. The formulation, across various concentrations, further promoted the growth and viability of Lactobacillus strains. Conclusions: Collectively, these findings demonstrate that alginate-inulin-pectin microbeads provide a multifunctional system for stabilizing S. officinalis extract, enabling controlled release, enhanced intestinal absorption, and maintained bioefficacy. Importantly, the formulation also promoted Lactobacillus viability, indicating a prebiotic effect and offering considerable potential for improved oral therapeutic applications.

RevDate: 2025-10-29
CmpDate: 2025-10-29

Ji M, Ma B, Dong J, et al (2025)

Mining Microbial Dark Matter: Advanced Cultivation Techniques for Bioactive Compound Discovery.

Pharmaceuticals (Basel, Switzerland), 18(10): pii:ph18101583.

The vast majority of microorganisms in the environment remain uncultured using conventional laboratory techniques, representing an immense untapped reservoir of genetic and chemical diversity. Recent innovations in cultivation strategies, combined with advances in metagenomics, single-cell genomics, and synthetic biology, have opened new avenues for accessing and harnessing bioactive natural products from these previously inaccessible microorganisms. This review highlights recent methodological and technological advancements in the cultivation and identification of novel microorganisms, and showcases the resulting discoveries of new natural products, demonstrating their potential for drug development.

RevDate: 2025-10-29
CmpDate: 2025-10-29

Usui M, Miyagi S, Yamanaka R, et al (2025)

Measuring the Invisible: Microbial Diagnostics for Periodontitis-A Narrative Review.

International journal of molecular sciences, 26(20): pii:ijms262010172.

Periodontitis is a biofilm-driven inflammatory disease in which conventional indices (probing depth, clinical attachment level, and radiographs) quantify tissue destruction without capturing the biology of infection. In this review, we synthesized microbiological diagnostics, from chairside tools to omics. We outline sampling strategies and emphasize the quantitative monitoring of bacterial load. Enzymatic assays (e.g., N-benzoyl-DL-arginine-2-naphthylamide hydrolysis assay test) measure functional activity at the point of care. Immunological methods include rapid immunochromatography for Porphyromonas gingivalis and enzyme-linked immunosorbent assay for the high-throughput measurement of bacterial antigens. Molecular platforms encompass quantitative polymerase chain reaction (qPCR) (TaqMan, SYBR, multiplex panels; propidium monoazide quantitative-qPCR for viable cells), checkerboard DNA-DNA hybridization for semi-quantitative community profiling, loop-mediated isothermal amplification (LAMP)/molecular beacon-LAMP for portable isothermal detection, and microarrays. Complementary modalities such as fluorescent in situ hybridization, next-generation sequencing, and Fourier transform infrared spectroscopy provide spatial, ecological, and biochemical resolutions. We discuss the limitations of current approaches, including sampling bias, presence-activity discordance, semi-quantitation, method biases, limited strain/function resolution, low-biomass artifacts, and lack of validated cutoffs. To address these challenges, we propose a pragmatic hybrid strategy: site-specific quantitative panels combined with activity and host-response markers interpreted alongside clinical metrics under standardized quality assurance/quality control. Priorities include outcome-linked thresholds, strain-aware/functional panels, robust point-of-care chemistry, and harmonized protocols to enable personalized periodontal care.

RevDate: 2025-10-29
CmpDate: 2025-10-29

Bitter M, Weigel M, Mengel JP, et al (2025)

Assessment of Microbiome-Based Pathogen Detection Using Illumina Short-Read and Nanopore Long-Read Sequencing in 144 Patients Undergoing Bronchoalveolar Lavage in a University Hospital in Germany.

International journal of molecular sciences, 26(20): pii:ijms26209841.

Lower respiratory tract infections (LRTIs) represent a significant global health concern, and the accurate identification of pathogens is crucial for patient care. Culture-based methods are the gold standard, but their detection abilities are limited. Next-generation sequencing (NGS) offers a promising method for comprehensive microbial detection, providing valuable information for clinical practice. In this study, 144 bronchoalveolar lavage fluid samples were collected, culture-based diagnostics were performed, and bacterial microbiome profiles were generated by short-read sequencing of the V4 region of the 16S rRNA gene using Illumina technologies and long-read sequencing with Oxford Nanopore Technologies (ONT) to determine the full-length 16S rRNA gene. The most common genera detected by NGS included Streptococcus, Staphylococcus, Veillonella, Prevotella, Rothia, Enterococcus, and Haemophilus. Short-read sequencing detected cultured bacteria at the genus level in ~85% of cases, while long-read sequencing demonstrated agreement with cultured species in ~62% of cases. In three cases, long-read sequencing identified the uncommon potential lung pathogen Tropheryma whipplei not detected with traditional culturing techniques. The NGS results showed a partial overlap with culture as the current diagnostic gold standard in LRTI. Additionally, NGS detected a broader spectrum of bacteria, revealed fastidious potential pathogens, and offered deeper insights into the complex microbial ecosystem of the lungs.

RevDate: 2025-10-29
CmpDate: 2025-10-29

Yin R, Chen B, He X, et al (2025)

Enhanced Phosphorus Removal by Iron-Carbon in Constructed Wetlands Across Salinity Gradients: Mechanisms and Microbial Insights for Aquaculture Tailwater Treatment.

Biology, 14(10): pii:biology14101459.

Saline aquaculture tailwater challenges conventional constructed wetlands (CWs) with their limited phosphorus (P) removal capacity. To address this, iron-carbon constructed wetlands (IC-CWs) were developed and operated under four salinity gradients (0, 10, 20, and 30) for 155 days to investigate the effects of salinity on P removal and associated microbial mechanisms. The results showed that salinity critically influenced long-term P removal, with the system at salinity 20 (S20) achieving the highest total phosphorus (TP) removal efficiency (78.80 ± 6.01%). Enhanced P removal was primarily attributed to the upregulation of phosphate transport genes (pstS, 14.25-fold increase) and elevated activity of key enzymes (AKP and ACP) in phosphorus-accumulating organisms (PAOs). However, high salinity (30) suppressed microbial metabolic functions. Metagenomic analysis revealed that salinity stress reshaped microbial community structure, with Bacteroidota abundance increasing 10-fold in S20 compared to S0 (control). This phylum harbored the phnE gene, significantly promoting organic phosphorus mineralization. Additionally, iron release increased with rising salinity, and the relative abundance of the phnE gene in Bacteroidota was highest in the S20 group, indicating a close association between iron release and PAOs as well as organic P mineralization genes. The quadratic polynomial model revealed that iron release under high salinity followed nonlinear kinetics, with passivation layer rupture promoting iron-phosphorus precipitate desorption in later stages. These findings provide a theoretical basis for optimizing salinity parameters to enhance chemical-biological P removal synergy, offering a promising strategy for saline aquaculture wastewater treatment.

RevDate: 2025-10-29
CmpDate: 2025-10-29

Promariya A, Treenarat S, Akrimajirachoote N, et al (2025)

Cultivation of Arthrospira platensis in Veterinary Hospital Wastewater Enhances Pigment Production and Reduces Antibiotic Resistance Genes.

Biology, 14(10): pii:biology14101396.

Veterinary hospital wastewater (VHW) is a significant environmental concern due to its high nutrient content, organic pollutants, and antibiotic resistance genes (ARGs). This study evaluated the physicochemical properties of VHW, its potential to support Arthrospira platensis cultivation, and its effects on microbial and resistome profiles. VHW contained high levels of ammonia nitrogen, total Kjeldahl nitrogen, biological oxygen demand (BOD), and chemical oxygen demand (COD), indicating substantial contamination. A. platensis was cultivated for 8 days in Zarrouk medium supplemented with 0-100% VHW. Biomass production peaked in 25% VHW (0.78 ± 0.05 g/L), while growth was strongly suppressed at concentrations ≥75%. Pigment levels in 25% VHW increased significantly compared to the control: 1.3-fold for chlorophyll-a (12.0 μg/mL), 1.5-fold for carotenoids (4.4 μg/mL), 1.7-fold for phycocyanin (120 μg/mL), and 2.3-fold for allophycocyanin (54 μg/mL). Shotgun metagenomic analysis revealed that A. platensis cultivation markedly altered the microbial community and reduced the prevalence of ARGs. In 25% VHW, Proteobacteria dominated the community (97.0%), but their abundance declined to 11.6% when co-cultivated with A. platensis. Likewise, Acinetobacter sp. carrying high levels of the aph gene, along with Methylophaga sp. and Pseudomonas_E sp. harboring oqxB, decreased substantially, suggesting that A. platensis effectively suppressed ARG-rich genera. These findings highlight the dual potential of A. platensis for sustainable pigment-rich biomass production and efficient wastewater treatment.

RevDate: 2025-10-29
CmpDate: 2025-10-29

Zhang S, Wang Q, Gong S, et al (2025)

The Effect of Cucumaria frondosa Tentacles Hydrolysates on Dextran Sulfate Sodium-Induced Colitis: Integrated Metagenomics and Metabolomics Analysis.

Foods (Basel, Switzerland), 14(20): pii:foods14203483.

Inflammatory bowel disease continues to pose substantial therapeutic challenges in modern gastroenterology. This study systematically evaluated the anti-colitis efficacy of Cucumaria frondosa tentacles hydrolysates (CFTHs) using a dextran sulfate sodium (DSS)-induced murine colitis model. Characterized by enhanced stability and solubility with molecular weights below 1000 Da, administration of CFTHs demonstrated a significant mitigation in colitis pathology. Therapeutic outcomes included an improved splenic index, attenuated colonic mucosal damage, and substantial decreases in serum pro-inflammatory cytokines. Relative to the DSS group, the MPO value in the CFTHs-H group decreased by 27.6%, and the IL-6 value exhibited a reduction of 33%. Metagenomic profiling revealed that CFTHs mediated gut microbiota modulation, particularly the enrichment of beneficial Bacteroidetes and suppression of pro-inflammatory Proteobacteria. Metabolomic analysis identified elevated colonic concentrations of anti-inflammatory metabolites such as gamma-linolenic acid and prostaglandin I2, suggesting a microbiome-metabolome crosstalk in the therapeutic mechanism. These multi-omics findings in a murine model suggest that CFTHs may represent a promising candidate for future studies as a nutraceutical intervention for inflammatory bowel disorder. This intervention may operate through mechanisms that include simultaneous immunomodulation, microbiota restoration, and metabolic reprogramming.

RevDate: 2025-10-29
CmpDate: 2025-10-29

Xiang R, Chen J, Wang J, et al (2025)

Characteristics of the Gut Microbiota in Different Segments of the Gastrointestinal Tract of Big-Eyed Bamboo Snake (Pseudoxenodon macrops).

Animals : an open access journal from MDPI, 15(20): pii:ani15203035.

Snakes are model animals to study energy balance, but studies on the gut microbiota of the animals are rather scarce. To fill the gap, we used metagenome sequencing to investigate the microbial community composition and adaptability in the stomach, small intestine, and large intestine of Big-eyed Bamboo Snake. The results showed that there was no significant differences in α-diversity among different gastrointestinal segments. Pseudomonadota, Bacteroidota, and Bacillota were the most abundant phyla. The dominant genera in the stomach and small intestine were similar, while those in the large intestine were distinct. The abundance of Bacteroides, Citrobacter and Clostridium was significantly higher in the large intestine than in the small intestine. The LEfSe analysis revealed that the small intestine had the most characteristic bacteria, with a total of 20 species, while the stomach and large intestine each had two species. Additionally, in the current study, we also focused on the impact of the microbial community structure on functions through functional annotations in the KEGG and CAZy. There were significant differences in the KEGG level 2 between the stomach and the small intestine. The LEfSe analysis revealed the differences in the CAZy level 2 between the large intestine and the small intestine. Overall, our study provided a comparative and contrastive analysis of the gut microbiota in different gastrointestinal segments of Big-eyed Bamboo Snake, offering valuable insights for the co-evolution mechanism of the host and the gut microbiota.

RevDate: 2025-10-29
CmpDate: 2025-10-29

Wei J, Wei L, Ullah A, et al (2025)

Metagenomic Applications to Herbivore Gut Microbiomes: A Comprehensive Review of Microbial Diversity and Host Interactions.

Animals : an open access journal from MDPI, 15(20): pii:ani15202938.

Herbivorous animals rely on complex gastrointestinal systems and microbial communities to efficiently digest plant-based diets, extract nutrients, and maintain health. Recent advances in metagenomic technologies have enabled high-resolution, culture-independent analysis of gut microbiota composition, functional potential, and host-microbe interactions, providing insights into microbial diversity across the herbivore digestive tract. This review summarizes key findings on the gastrointestinal microbiota of herbivores, focusing on ruminant foregut and non-ruminant hindgut fermentation. Ruminants like cattle, sheep, and goats host microbiota enriched with fibrolytic and methanogenic microbes that facilitate fiber degradation and volatile fatty acid production, contributing significantly to energy balance. In contrast, non-ruminants such as horses and rabbits rely on hindgut fermentation, with distinct microbial taxa contributing to carbohydrate and protein breakdown. The review further explores how specific microbial taxa, including Prevotella, Fibrobacter, and Ruminococcus, correlate with improved feed efficiency and growth performance, particularly in ruminants. Additionally, the roles of probiotics, prebiotics, and symbiotics in modulating gut microbial composition and enhancing productivity are discussed. Despite significant advances, challenges remain in microbial sampling, functional annotation, and understanding the integration of microbiota with host physiology. The review emphasizes the potential of metagenomic insights in optimizing herbivore gut microbiota to improve feed efficiency, health, and sustainable livestock production.

RevDate: 2025-10-29
CmpDate: 2025-10-29

Feng Y, Feng H, Yu X, et al (2025)

Next-Generation Sequencing for Diagnosis of Fatal Balamuthia Amoebic Encephalitis: A Case Report.

Diagnostics (Basel, Switzerland), 15(20): pii:diagnostics15202590.

Background:Balamuthia mandrillaris is a free-living amoebic parasite that primarily causes rare opportunistic infections in immunocompromised hosts. Balamuthia amoebic encephalitis (BAE) is a rare yet severe parasitic infection affecting the central nervous system. It has an extremely low incidence in China but can have a mortality rate as high as 98%. The clinical manifestations of amebic infections are similar to those of bacterial and tuberculous meningitis, lacking specificity, which makes accurate diagnosis challenging in the clinical setting. Case Presentation: A 61-year-old immunocompetent woman experienced worsening headache and a moderate fever over the course of five days, initially treated as a common cold. On 25 February 2025, she exhibited behavioral abnormalities, dysphagia, and a high fever of 40.2 °C, which progressed to a coma. On 26 February, her cranial CT scan revealed multifocal hemorrhagic lesions in the right frontotemporoparietal lobes. The MRI revealed similar lesions with slight enhancement and herniation. She underwent an emergency decompressive craniectomy, yet her condition continued to deteriorate following the surgery. On 27 February, serum targeted next-generation sequencing (tNGS) detected B. mandrillaris. Additionally, metagenomic NGS (mNGS) of the cerebrospinal fluid (CSF) sample confirmed the presence on 28 February. Finally, B. mandrillaris was identified through a brain tissue biopsy on 3 March. However, due to the delayed diagnosis and lack of effective drugs, her condition rapidly deteriorated and became irreversible. Her family ultimately chose to withdraw treatment. Conclusions: This study highlights the application of NGS for early diagnosis of patients with severe CNS infection. Both tNGS and mNGS can be considered for the rapid detection of rare or novel pathogens and for facilitating diagnosis.

RevDate: 2025-10-29

Su Y, Xiao Q, Ye S, et al (2025)

Metagenomic next-generation sequencing (mNGS) guides targeted antibiotic therapy and reduces mortality in sepsis: a propensity-matched retrospective cohort study.

BMC infectious diseases, 25(1):1430.

RevDate: 2025-10-29
CmpDate: 2025-10-29

Chen L, Wang C, Zhang H, et al (2025)

Characterization of microbiota dysbiosis in papillary thyroid carcinoma and benign thyroid nodules: low abundance of intestinal butyrate-producing bacteria.

BMC microbiology, 25(1):691.

BACKGROUND: The thyroid-gut axis refers to the intricate relationships among the gut, intestinal microbiota, and thyroid gland, and it is speculated to play an important role in the development of thyroid diseases. The aim of this study was to identify the differentiated bacteria in the intestinal microbiota associated with papillary thyroid carcinoma (PTC) and benign thyroid nodules (BTNs) to offer potential avenues for further exploration and therapeutic interventions.

METHODS: Faecal microbiotas of 197 subjects (73 from subjects with BTNs, 62 from subjects with PTC, and 62 from sex- and age-matched controls) were characterized by sequencing the V3-V4 region of 16 S rDNA using the Illumina NovaSeq 6000 platform. Microbiomics and machine learning-assisted approaches were used to identify the PTC-/BTN-associated intestinal microbial indicators.

RESULTS: Compared with the abundance of coabundant groups (CAGs) in the PTC, BTN, and control groups, the abundance of two Genus-CAGs consisting of butyrate producers, such as Blautia, Lachnoclostridium, Lachnospiraceae_unclassified, Eisenbergiella, Flavonifractor and Hungatella, was lower in the PTC group than in the control group. In particular, both ANCOM-BC2 and Wilcoxon rank-sum test results consistently demonstrated significant enrichment of the butyrate-producing genera Oscillibacter, Coprobacter, and Colidextribacter in both BTN patients and healthy controls. The majority of discriminatory amplicon sequence variants (ASVs) that could discriminate PTCs from controls, as well as from BTNs, were from Prevotella, Streptococcus, Bacteroides, and butyrate-producing groups, such as the Oscillibacter, Lachnospiraceae, and Christensenellaceae (R7) groups. ASV indicators from Prevotella and Streptococcus were most abundant in the PTC group, and those from Bacteroides and the butyrate-producing/-promoting group were least abundant in the PTC group. Additionally, the ASVs that could discriminate the BTN group from the control group, as well as PTC group included other butyrate-producing groups, the Clostridium_sensu_stricto group, and the Eubacterium_siraeum group.

CONCLUSIONS: This study demonstrates that dysbiosis linked to thyroid nodules is marked by a substantial decline in intestinal butyrate-producing and butyrate-promoting taxa. Future work to confirm these results should include shotgun metagenomic sequencing paired with quantitative analyses of gene abundance and expression to fully ascertain the functional implications.

RevDate: 2025-10-29
CmpDate: 2025-10-29

Zou Y, Zou Q, Wang Y, et al (2025)

Metagenomics reveals seasonal changes of intestinal microbes in Eospalax rothschildi.

BMC microbiology, 25(1):693.

BACKGROUND: Seasonal behavioral divergence in zokors, driven primarily by their reproductive cycle, results in distinct ecological strategies between breeding and non-breeding periods. To elucidate how intestinal microbes adapt to these behavioral shifts, we used metagenomics to characterize the seasonal variations in the intestinal microbes of Eospalax rothschildi, a subterranean zokor endemic to China.

RESULTS: Metagenomics revealed that summer samples showed an increased proportion of carbohydrate-degrading bacteria. Moreover, a significant difference in taxonomic composition was observed between the samples collected in the two seasons. Functional analysis based on the KEGG and CAZy databases revealed stronger carbohydrate degradation capacities in summer samples, notably through enhanced galactose metabolism capabilities. The enhanced galactose metabolism capabilities observed in summer were predominantly driven by increased abundance of α-galactosidase and β-galactosidase genes from enriched microbial populations, particularly Bacteroides, unclassified_f_Lachnospiraceae, Roseburia, and Faecalibacterium. Furthermore, iCAMP analysis revealed that deterministic and stochastic processes jointly governed intestinal microbial assembly in E. rothschildi during summer, as elevated nutritional demands potentially intensified host selection in the breeding season. Conversely, stochastic dominance in autumn may align with relaxed host selection.

CONCLUSIONS: Collectively, these results demonstrated that season played a crucial role in modulating the composition, function, and assembly process of the intestinal microbes of E. rothschildi.

RevDate: 2025-10-29
CmpDate: 2025-10-29

Ciuchcinski K, Bluszcz A, L Dziewit (2025)

Taxonomy, function and plasmids of microbial soil communities of Polish salt graduation towers.

Scientific data, 12(1):1702.

Salt graduation towers create hypersaline environments that host specialized microbial communities, offering unique opportunities to study their adaptations to salinity. In this study, we present a comprehensive catalogue of data recovered from soil samples collected across three salt graduation towers in Poland (Ciechocinek, Konstancin-Jeziorna and Busko-Zdrój). Our investigation includes total metagenomic and 16S rRNA amplicon sequencing of nine collected soil samples, as well as metaplasmidome sequencing from most saline samples at each location. We established both solid and liquid enrichment cultures for these high-salinity samples, followed by hybrid long- and short-read sequencing. We also used multiple state-of-the-art tools to fully describe and characterize the recovered sequences. Overall, this comprehensive dataset integrates metagenomic, enrichment culture, 16S rRNA amplicon, and (meta)plasmidome sequencing data with corresponding physicochemical soil parameters, providing a valuable resource for comparative analyses, method development, and studies of microbial diversity and adaptation across saline environments.

RevDate: 2025-10-29
CmpDate: 2025-10-29

Pold G, Saghaï A, Jones CM, et al (2025)

Denitrification is a community trait with partial pathways dominating across microbial genomes and biomes.

Nature communications, 16(1):9495.

Diverse microorganisms can execute one or more steps in denitrification, during which nitrate or nitrite is successively reduced into nitric oxide, nitrous oxide, and ultimately dinitrogen. Many of the best-characterized denitrifiers are complete denitrifiers capable of executing all steps in the pathway, but their dominance in natural communities and what metabolic traits and environmental factors drive the global distribution of complete vs. partial denitrifiers are unclear. To address this, we conducted a comparative analysis of denitrification genes in 61,293 genomes, 3991 metagenomes, and 413 terrestrial and aquatic metatranscriptomes. We show that partial denitrifiers outnumber complete denitrifiers and the potential to initiate denitrification is more common than the potential to terminate it, particularly in nutrient rich environments. Our results further indicate that complete denitrifiers tend to be fast-growing organisms, favoring organic acid over sugar metabolism, and encoding the ability to oxidize and reduce a broader range of organic and inorganic compounds compared to partial denitrifiers. This suggests complete denitrifiers are metabolically flexible opportunists. Together, our results indicate an environmental footprint on the presence of denitrification genes which favors the genomic potential for partial over complete denitrification in most biomes and highlight that completion of the denitrification pathway is a community effort.

RevDate: 2025-10-28
CmpDate: 2025-10-28

Saguti F, Wang H, Churqui MP, et al (2025)

Variations of the Virome in Raw and Treated Water: A One-Year Follow-Up at Six Different Drinking Water Treatment Plants.

Environmental microbiology reports, 17(6):e70222.

Little is known about virome changes in raw and drinking water over time, and differences between raw water sources and treatment technologies. This study used metagenomics to assess viruses prevalent in raw and drinking water samples over 1 year from six Swedish drinking water treatment plants (DWTPs) with varying treatment barriers and with different raw water sources. Sequences homologous to known viruses in the raw water samples were detected by amplification and next-generation sequencing and classified into 152 different virus species belonging to 76 virus families/orders. The majority were small bacteriophages. Other viral genomes were homologous to viruses infecting plants, invertebrates, vertebrates, mammals and giant viruses infecting amoeba or algae. Several virus species were simultaneously found in both raw and drinking water, indicating passage through the purification barriers, although reduced by 1-3 log10 after treatment. Most viruses detected in water samples after ultrafiltration were small viruses, and other barriers appeared more effective at removing smaller viruses. To avoid detecting viruses possibly replicating within DWTPs, viruses were separated according to the possibility that the host could be found in the water sources or not. These results underscore the importance of monitoring both raw and drinking water for small viruses, especially when viral contamination of the source water is at risk, to ensure drinking water quality.

RevDate: 2025-10-28
CmpDate: 2025-10-28

Bontemps Z, Abrouk D, Moënne-Loccoz Y, et al (2025)

Functional Characterisation of Microbial Communities Related to Black Stain Formation in Lascaux Cave.

Environmental microbiology reports, 17(6):e70112.

Anthropization of Palaeolithic caves may cause cave microbiota dysbiosis and promote the development of microbial stains on cave walls. In certain cases, chemical biocides have been used to mitigate rock alterations, but this may exacerbate microbiota unbalance. Here, we tested this model by metagenomics, using black stains that threaten art conservation in Lascaux Cave. Thus, we evidenced a wide range of microbial taxa differing between black stains and neighbouring unmarked surfaces. Genes for synthesis of melanin and carotenoid pigments were more prevalent in black stains and were identified in reconstructed genomes for fungi (as expected) and bacteria. The presence of genes for degradation of aromatic compounds supports the hypothesis that recycling of chemical biocides favoured melanin-producing microorganisms. These findings extend previous predictions by revealing a wider range of microorganisms, potential biotransformations favouring pigment synthesis, as well as microbial interactions influencing microbial dynamics during cave wall alterations.

RevDate: 2025-10-28

Burillo A, Serrano-Lobo J, Bouza E, et al (2025)

Is it possible to identify genotypes underlying resistant phenotypes in Gram-negative pathogens?.

Current opinion in infectious diseases pii:00001432-990000000-00266 [Epub ahead of print].

PURPOSE OF REVIEW: This review explores the relationship between genotypes and resistant phenotypes in Gram-negative pathogens. We analyse to what extent conventional phenotypic methods predict genetic mechanisms of resistance, the reliability of genotypic approaches, and how integrated strategies may improve diagnostic accuracy and clinical utility.

RECENT FINDINGS: Traditional AST remains the clinical reference standard due to its correlation with therapeutic outcomes, yet it often fails to identify the molecular basis of resistance. Molecular methods such as PCR, microarrays, and targeted sequencing allow rapid detection of known genes but cannot reliably predict expression or functionality. Whole-genome sequencing provides the most comprehensive overview, capturing both known and novel resistance determinants as well as mobile genetic elements. Nevertheless, genotype-phenotype discordance persists, driven by regulatory mutations, inducible expression, or synergistic mechanisms. Emerging technologies - including real-time sequencing, metagenomics, and machine learning-based predictive models - are enhancing our ability to infer phenotypes from genomic data. Still, these approaches face challenges of standardization, validation, and integration into clinical workflows.

SUMMARY: Linking genotypes to resistant phenotypes in Gram-negative pathogens remains complex. While phenotypic AST ensures reliability for therapy, genotypic methods provide unprecedented insight into resistance mechanisms and epidemiology. Discrepancies between the two highlight the need for integrated diagnostic platforms that combine functional and genomic perspectives. Artificial intelligence-driven predictive models and curated resistance databases hold promise for improving accuracy, but widespread adoption requires robust datasets, clinical validation, and harmonized interpretative frameworks. Ultimately, integrating phenotypic and genotypic data represents the most effective strategy to provide mechanism-informed, clinically actionable diagnostics for antimicrobial resistance management.

RevDate: 2025-10-28

Qin C, Xie X, Wang H, et al (2025)

Metagenomic investigation of antibiotic resistance genes and assessment of their health risk in antimony-mining area.

Journal of hazardous materials, 499:140278 pii:S0304-3894(25)03198-X [Epub ahead of print].

Here, we conducted a metagenomic investigation of antibiotic resistance genes (ARGs) from soil, surface water, and groundwater samples collected in Xikuangshan antimony (Sb)-mine area in China. Overall, 1737 subtypes of ARGs were detected which collectively conferred resistance to 27 classes of antibiotics. The health risk of the ARGs to humans were quantitatively evaluated by integrating human accessibility, mobility, pathogenicity, and clinical availability. A total of 6706 ARGs were identified within metagenome-assembled genomes (MAGs), with 44 of these ARGs posing a health risk, particularly those that confer multidrug resistance. Soil served as a potential reservoir of ARGs, harboring a greater variety of ARGs. In contrast, aquatic environments were hotspots for high-risk ARGs, with groundwater containing the most numerous risk-associated ARGs but surface waters posing the greatest health risks. Remediated soils showed significantly reduced ARG abundance and health risk, indicating that ecological restoration effectively mitigates ARG-related health risks. Pseudomonadota persisted as the dominant functional phylum in Sb mining area, exhibiting significant positive correlations with ARGs abundance. Acinetobacter, Achromobacter, and Stenotrophomonas, were identified as opportunistic pathogens carrying high-risk ARGs. Our analysis suggested that mining activities may amplify public health risks of ARGs, highlighting the importance for ecological remediation of mining areas.

RevDate: 2025-10-28

Wang Y, Zhang Q, Luo Q, et al (2025)

Melatonin ameliorates bronchopulmonary dysplasia by modulating the NF-κB pathway via the gut microbiota-short-chain fatty acid axis.

International immunopharmacology, 167:115730 pii:S1567-5769(25)01718-7 [Epub ahead of print].

OBJECTIVE: To elucidate the mechanism by which melatonin ameliorates bronchopulmonary dysplasia (BPD) via modulation of gut microbiota and its metabolite, short-chain fatty acids (SCFAs).

METHODS: A bleomycin-induced BPD mouse model was developed. Post-melatonin intervention, a comprehensive multi-omics approach, including metagenomics, 16S rRNA sequencing, untargeted metabolomics, and RNA transcriptomics, was employed alongside butyrate supplementation experiments to assess changes in alveolar architecture, oxidative stress, inflammatory cytokine levels, and the NF-κB signaling pathway. In vitro experiments utilizing human bronchial epithelial cells (BEAS-2B) and analyses of publicly available single-cell RNA sequencing data from infant lung tissues were conducted to further substantiate the underlying mechanisms.

RESULTS: The administration of melatonin led to a significant increase in the abundance of Ligilactobacillus murinus within the gut microbiota and enhanced the production of SCFAs. Notably, butyrate metabolites were found to be enriched in both serum and lung tissues, which was associated with the suppression of NF-κB pathway activation. Intervention with butyrate mirrored the therapeutic effects observed with melatonin, resulting in the alleviation of alveolar simplification, a reduction in oxidative damage and inflammatory cytokines, and the inhibition of both NF-κB pathway activation and pyroptosis in lung tissues. Additionally, in vitro experiments demonstrated that both melatonin and butyric acid directly inhibited NF-κB activation and pyroptosis in BEAS-2B cells injured by bleomycin. Analysis of single-cell data from human infant lungs revealed differential enrichment of genes related to NF-κB and pyroptosis in the bronchial and alveolar epithelial cells of patients with BPD, thereby underscoring the clinical significance of these pathways.

CONCLUSION: Melatonin ameliorates BPD by modulating the gut microbiota-SCFA metabolic axis, which in turn suppresses NF-κB pathway activation and pyroptosis in lung tissues via systemic circulation. This finding suggests a novel therapeutic strategy for the treatment of BPD.

RevDate: 2025-10-28

Lv J, Zhao Q, Jiang J, et al (2025)

Electron transfer performance and mechanism in twin microbial fuel cell powered electro-Fenton system with waste activated sludge as substrate.

Bioelectrochemistry (Amsterdam, Netherlands), 168:109154 pii:S1567-5394(25)00257-9 [Epub ahead of print].

The twin microbial fuel cell powered electro-Fenton system (twin-MFCⓅEFs), combining active oxygen component and microbial metabolism, was constructed to improve the treatment process of waste activated sludge (WAS). Nevertheless, the performance and mechanism of electron transfer underlying this enhancement remain poorly understood. This study investigated the performance and mechanism of electron generation and utilization in twin-MFCⓅEFs with WAS as substrate. The higher electron generation and recovery efficiency (8.25 % of coulombic efficiency) was attributed to the higher content of amino acids (such as tryptophan), humic substances and their aromatic groups and unsaturated conjugated double bonds in the soluble organic matter, which facilitated biodegradation and electron transfer. The higher electron utilization performance (52.76 % of faraday efficiency) relied on the superior electron supply system that exhibited greater free radical oxidation. Metagenomic analysis indicated that an increased secretory capacity of glycosyltransferases (including glucosyltransferases and β-glucosidases) and a reduced activity of acetate kinase and methyl-coenzyme M reductase alpha subunit in cellular metabolic processes favored signaling and electricity production. The study focused on electron flow in twin-MFCⓅEFs and offered a promising strategy for improving the sludge treatment process.

RevDate: 2025-10-28

Ortiz-López G, Sánchez-Reyes A, Téllez-Galván A, et al (2025)

Influence of anthropogenic inputs on microbial risks and resistance genes in a riverine environment.

International journal of hygiene and environmental health, 271:114699 pii:S1438-4639(25)00181-6 [Epub ahead of print].

Rivers face significant anthropogenic pressures due to diverse water discharges, which alter microbial community structures and may facilitate the dissemination of potentially pathogenic microorganisms and antibiotic-resistance genes (ARGs). This study used metagenomic analysis to characterize microbial and viral communities, determine antibiotic resistance profiles, and evaluate potential public health risks associated with different discharges sources. Water samples were collected from agricultural, hospital, untreated domestic wastewater, treated wastewater, and environmental inputs. Results revealed that hospital wastewater (HW) had microbial genera associated with the wastewater treatment plant; however, we were able to isolate a multidrug-resistant Klebsiella aerogenes, Enterobacter spp. and Staphylococcus spp. Untreated domestic wastewater (UW) was dominated by species such as Arcobacter cryaerophilus, Acinetobacter johnsonii, Escherichia coli, and Acinetobacter lwoffii, while treated wastewater (TW) showed the presence of Arcobacter cryaerophilus, Aeromonas caviae, Prevotella copri, Arcobacter butzleri, Acinetobacter johnsonii, Escherichia coli, and Pseudomonas stutzeri. Regarding ARGs, HW contributed significantly to ARGs diversity, particularly genes conferring resistance to critical antibiotics such as meropenem and vancomycin. TW exhibits the highest ARG diversity, including genes for broad-spectrum resistance to aminoglycosides, penicillins, and cephalosporins, suggesting cumulative contamination from multiple sources. These findings emphasize the importance of advancing efforts to tackle this challenge in wastewater treatment practices and stricter regulations to mitigate the spread of antibiotic resistance and pathogenic microorganisms in aquatic environments.

RevDate: 2025-10-28
CmpDate: 2025-10-28

Jiang L, Qing Y, Huang K, et al (2025)

Comparison of Gut Microbial Structure and Function Changes in Sichuan-Tibetan Black Pigs at Different Growth Stages Based on Metagenomic Analysis.

Current issues in molecular biology, 47(10): pii:cimb47100866.

The gut microbiota plays a crucial role in maintaining swine health and understanding its stage-specific variations provides a scientific basis for health assessment. This study investigated the structural changes in intestinal microbiota during the development of Sichuan-Tibetan black pigs (n = 15) by collecting fecal samples at three growth stages: the nursery period (1 month), growing period (3 months), and finishing period (10 months). Microbial profiling was performed using 16S rRNA sequencing. Results showed no significant difference in the Shannon index between the nursery and growing periods, while the finishing period exhibited distinct ACE and Chao 1 indices compared to other stages. PCoA and NMDS analyses revealed significant structural divergence in the finishing period microbiota, with greater intra-group variability observed in the nursery and growing periods. At the phylum level, Firmicutes abundance increased progressively with growth, becoming the absolute dominant phylum, whereas Bacteroidota showed a declining trend. These characteristics are particularly prominent during the finishing period. At the family level, Lactobacillaceae abundance increased continuously. Oscillospiraceae remained stable during the early stages but decreased significantly in the finishing period. Genus-level analysis shows that Lactobacillus, especially L. amylovorus and L. reuteri, become dominant bacterial species during the finishing period. A total of 84 differentially abundant core microbiota were identified, with the finishing period containing the highest number. Functional annotation revealed 19 significantly different metabolic pathways across the three stages. The most significant is the enhanced activity of microorganisms during the finishing period in pathogen-related metabolism and exogenous degradation, reflecting their adaptability to complex feed. These findings demonstrate stage-dependent variations in the gut microbiota of Sichuan-Tibetan black pigs, providing valuable references for nutritional regulation and feeding management practices.

RevDate: 2025-10-28
CmpDate: 2025-10-28

Ma M, Li Q, Wu F, et al (2025)

Symbiotic solutions for colony nutrition: Conserved nitrogen recycling within the bacterial pouch of Tetraponera ants.

Proceedings of the National Academy of Sciences of the United States of America, 122(44):e2514882122.

While microbial symbioses are fundamental to the nutrition of many animal groups, current paradigms focus on symbiont functions at the host individual level. It remains unclear whether microbial symbioses can sustain colony-level fitness in social insects, whose ecological success depends on nutrient coordination across castes. Here, we investigate the specialized bacterial pouch, a symbiont-containing organ present exclusively in adult workers of Tetraponera nigra-group ants, revealing its crucial role in colony-wide nutrient provisioning. Using a combination of microscopy, amplicon and metagenomic sequencing, and [15]N-urea feeding experiments on four species in the group, we show that its adult-specific pouch-associated microbiota, primarily Tokpelaia, recycle nitrogen from urea and convert it into amino acids which are provisioned to adult workers and developing larvae. Disruption of this nitrogen-recycling symbiosis severely impairs larval growth and overall colony fitness. Our results show how caste-restricted microbial organs can centralize metabolic functions at the colony level, challenging individual-centric paradigms of host-microbe mutualism and providing insights into the pivotal role of microbial symbionts in superorganismal adaptation to nutritional constraints.

RevDate: 2025-10-28

Zong C, Gao S, Wei Q, et al (2025)

Impact of Chromium Exposure on Potato Farming Systems and Plant Responses.

Journal of agricultural and food chemistry [Epub ahead of print].

Chromium (Cr) is a major source of heavy metal pollution, posing a significant threat to agricultural production. This study investigated the impact of chromium on potato farmland and explored integrated control strategies using the potato cultivar Dongnong 310 as the research subject. Transcriptomic and rhizosphere microbial metagenomic sequencing methods were employed. The main findings were as follows: (1) chromium stress downregulated genes encoding photosystem II, thereby inhibiting photosynthesis in potatoes. (2) Chromium stress altered the diversity of rhizosphere soil microorganisms, reduced the abundance of nitrous oxide reductase, and increased emissions of the greenhouse gas N2O. (3) The rhizosphere microorganism Bacillus strain C5 and potato gene LOC102599109 exhibited chromium resistance. This study provides theoretical guidance for the integrated management of chromium pollution in potato farmland.

RevDate: 2025-10-28
CmpDate: 2025-10-28

Tana C, Moffa S, Tana M, et al (2025)

Gut Microbiota, Mild Cognitive Impairment and Dementia: A Systematic Review.

Neurology international, 17(10): pii:neurolint17100155.

BACKGROUND: Alterations of the gut microbiota have been increasingly implicated in the pathogenesis of dementia through mechanisms involving systemic inflammation, immune dysregulation, and gut-brain axis disruption. Clinical evidence, however, remains fragmented.

OBJECTIVES: This systematic review aimed to characterize gut microbiota profiles in individuals with mild cognitive impairment (MCI) or Alzheimer's dementia (AD), explore mechanistic associations with neurodegeneration, and evaluate the impact of microbiota-targeted interventions on cognitive outcomes.

METHODS: Following PRISMA 2020 guidelines and a registered protocol (PROSPERO CRD420251074832), PubMed/Medline was searched through May 2025. Eligible studies included randomized controlled trials (RCTs) and cohort and case-control studies assessing microbiota composition or interventions in participants with MCI or AD.

RESULTS: Twenty-one studies were included (1 RCT, 20 observational; sample size 22-302). Most used 16S rRNA sequencing; one used shotgun metagenomics. Across cohorts, MCI and AD patients consistently showed reduced short-chain fatty acid-producing bacteria (Faecalibacterium, Ruminococcaceae, Lachnospiraceae) and increased pro-inflammatory taxa (Escherichia/Shigella, Enterobacteriaceae, Bacteroides). Several studies reported reduced microbial diversity. Specific taxa, including Akkermansia muciniphila and Faecalibacterium, were associated with amyloid burden, hippocampal atrophy, and cognitive decline. Environmental and dietary factors influenced microbial composition and cognition. The RCT reported that probiotic supplementation improved inflammatory markers and BDNF levels, although changes in microbiota composition were inconsistent.

CONCLUSIONS: Gut dysbiosis is strongly associated with cognitive impairment and markers of neurodegeneration. Modulation of the microbiota through diet and probiotics emerges as a promising avenue for dementia prevention and management, though robust longitudinal and interventional studies are needed to confirm causality and therapeutic efficacy.

RevDate: 2025-10-28
CmpDate: 2025-10-28

Matsumoto R, Takahashi M, Hosomichi K, et al (2025)

Comparison of Long-Term Oral Bacterial Flora Before and After Orthognathic Surgery in Surgical Orthodontic Treatment.

Dentistry journal, 13(10): pii:dj13100458.

Background/Objectives: Multi-bracket appliances are essential in surgical orthodontic treatment, and perioperative oral management during orthognathic surgery is critical. Thorough plaque control, appropriate use of antibiotics, and shortening of operative time have been reported to be effective in preventing postoperative infections and ensuring surgical success. As highly invasive orthognathic surgery involving osteotomy may influence the postoperative oral microbiota, this study aimed to investigate the characteristics of and clarify the changes occurring in the salivary oral microbiota after orthognathic surgery. Methods: The study included 14 patients (Group S; mean age 29.3 ± 9.8 years) who underwent surgical orthodontic treatment and 15 control patients (Group C; mean age 27.1 ± 8.7 years) who received orthodontic treatment alone. Salivary samples were analyzed via 16S rRNA gene sequencing, and the relative abundances of bacteria were evaluated using the Linear Discriminant Analysis Effect Size. Results: The prevalence of Neisseria, which is associated with early biofilm formation, decreased over time in both groups. In contrast, Streptococcus exhibited an increase in prevalence. In Group S, members of Pseudomonas, the family Saccharimonadaceae, and the order Rhizobiales showed increases at 5-8 months post-surgery. Conclusions: Surgical orthodontic treatment may influence the oral microbiota and promote colonization by opportunistic pathogens. Instructions regarding oral hygiene and appropriately timed professional cleaning interventions are critical in preventing such colonization. Longitudinal monitoring of the microbiota using metagenomic analysis may be useful for future perioperative management and guidance of oral hygiene.

RevDate: 2025-10-28
CmpDate: 2025-10-28

Amorim Filho AG, Martins RCR, Franco LAM, et al (2025)

Vaginal Microbiota in Short Cervix Pregnancy: Secondary Analysis of Pessary vs. Progesterone Trial.

Diseases (Basel, Switzerland), 13(10): pii:diseases13100338.

BACKGROUND/OBJECTIVES: Preterm birth (PTB) is a leading cause of neonatal mortality, particularly in women with a short cervix. Vaginal dysbiosis has been associated with increased PTB risk. Progesterone (PR) and Arabin pessary (PE) are commonly used for PTB prevention, but their impact on vaginal microbiome composition is unclear. This study aimed to compare the effects of these interventions on the vaginal microbiome in women at risk of PTB.

METHODS: In a secondary analysis of a randomized trial at Hospital das Clínicas, Universidade de São Paulo, 203 women with singleton pregnancies and cervical length ≤ 25 mm at the second trimester were assigned to daily vaginal PR (200 mg) or PE. Vaginal swabs from 44 participants (n = 22 per group) were collected at baseline and 4 weeks post-treatment and analyzed via 16S rRNA gene sequencing.

RESULTS: From 88 samples analyzed, 80 showed a low-diversity, Lactobacillus-dominated microbiota, 42 classified into Lactobacillus iners-dominated community state type (CST-III), and 38 presented other Lactobacillus species dominance (termed CST-I/II/V). The remaining eight samples presented non-Lactobacillus dominance (CST-IV). Comparing the two groups, no significant changes in CST were observed between sampling timepoints (PE group, p = 0.368; PR group, p = 0.223). Similarly, Shannon alpha diversity did not change (PE group, p = 0.62; PR group, p = 0.30), and Bray-Curtis dissimilarity also did not change after treatment (p = 0.96, before; p = 0.87, after treatment).

CONCLUSIONS: Arabin pessary and vaginal progesterone maintain vaginal microbiome stability in women at high PTB risk, supporting the microbiological safety of both interventions.

RevDate: 2025-10-28
CmpDate: 2025-10-28

Tewolde R, Thombre R, Farley C, et al (2025)

Comparison of Phenotypic and Whole-Genome Sequencing-Derived Antimicrobial Resistance Profiles of Legionella pneumophila Isolated in England and Wales from 2020 to 2023.

Antibiotics (Basel, Switzerland), 14(10): pii:antibiotics14101053.

Background: Antimicrobial resistance (AMR) in Legionella pneumophila is emerging as a concern, particularly with resistance to macrolides and fluoroquinolones. Although clinically significant resistance in Legionella pneumophila remains uncommon, systematic genomic surveillance using whole-genome sequencing (WGS) is needed to anticipate treatment failure as metagenomic diagnostics move toward routine use. Objectives: We assessed the UK Health Security Agency AMR pipeline for predicting resistance in L. pneumophila by analysing 522 L. pneumophila isolates from England and Wales (2020-2023) together with nine database sequences that carry confirmed 23S rRNA mutations conferring high-level azithromycin resistance. The objective of the present study was to examine the presence of antimicrobial resistance genes (ARGs) in L. pneumophila isolates and to determine whether they exhibited phenotypic resistance through minimum inhibitory concentration (MIC) testing. Methods: Serogroups (sgs) were determined using an in-house qPCR assay, and L. pneumophila non-sg1 isolates were serogrouped using the Dresden monoclonal antibody (mAb) typing method. Sequence types were determined using the standard sequence-based typing method by Sanger sequencing. WGS reads were screened against standard AMR databases to identify resistance genes and resistance-mediating mutations. Agar dilution measured MICs for azithromycin, erythromycin, ampicillin, levofloxacin, tetracycline and spectinomycin in isolates possessing the blaOXA-29, lpeAB or aph(9)-Ia gene. Results: AMR screening detected lpeAB, two allelic β-lactamase variants (blaOXA-29 and blaLoxA) and aph(9)-Ia in 165 of the 522 L. pneumophila isolates, while all high-azithromycin MIC reference sequences contained the expected 23S mutation. Only lpeAB was associated with a significant twofold elevation in macrolide MICs. Neither β-lactamase variant increased ampicillin MICs, and aph(9)-Ia carriage did not correlate with higher spectinomycin MICs. Conclusions: Advanced genomic analytics can now deliver timely therapeutic guidance, yet database-flagged genes may not translate into phenotypic resistance. Continuous pairing of curated mutation catalogues with confirmatory testing remains essential for distinguishing clinically actionable determinants such as 23S mutations and lpeAB from silent markers like blaOXA-29 and aph (9)-Ia.

RevDate: 2025-10-28
CmpDate: 2025-10-28

Lertcanawanichakul M, Bhoopong P, P Horpet (2025)

Mangrove Ecosystems as Reservoirs of Antibiotic Resistance Genes: A Narrative Review.

Antibiotics (Basel, Switzerland), 14(10): pii:antibiotics14101022.

Background: Mangrove ecosystems are critical coastal environments providing ecological services and acting as buffers between terrestrial and marine systems. Rising antibiotic use in aquaculture and coastal agriculture has led to the dissemination of antibiotic-resistant bacteria (ARB) and antibiotic resistance genes (ARGs) in these habitats. Aim: This narrative review aims to synthesize current knowledge on the prevalence, diversity, and environmental drivers of ARGs in mangrove ecosystems, highlighting their role as reservoirs and the potential for horizontal gene transfer. Methods: Studies published up to September 2024 were identified through PubMed, Scopus, Web of Science, and Google Scholar. Inclusion criteria focused on ARGs and ARB in mangrove sediments, water, and associated biota. Data on ARG prevalence, microbial community composition, detection methods, and environmental factors were extracted and narratively synthesized. Results: Seventeen studies from Asia, South America, and Africa were included. ARGs conferring resistance to tetracyclines, sulfonamides, β-lactams, and multidrug resistance were found to be widespread, particularly near aquaculture and urban-influenced areas. Metagenomic analyses revealed diverse resistomes with frequent mobile genetic elements, indicating high potential for horizontal gene transfer. Environmental factors, including sediment type, organic matter, and salinity, influenced ARG abundance and distribution. Conclusions: Mangrove ecosystems act as both reservoirs and natural buffers for ARGs. Sustainable aquaculture practices, continuous environmental monitoring, and integrated One Health approaches are essential to mitigate ARG dissemination in these sensitive coastal habitats.

RevDate: 2025-10-28
CmpDate: 2025-10-28

Lynch S, Thomson P, Santibañez R, et al (2025)

Influence of Florfenicol Treatments on Marine-Sediment Microbiomes: A Metagenomic Study of Bacterial Communities in Proximity to Salmon Aquaculture in Southern Chile.

Antibiotics (Basel, Switzerland), 14(10): pii:antibiotics14101016.

Background/Objectives: Metagenomic analyses are an important tool for understanding ecological effects, particularly in sites exposed to antimicrobial treatments. Marine sediments host diverse microbial communities and may serve as reservoirs for microbial resistance. Although it is known that antimicrobials can alter microbial composition, specific impacts on sediments surrounding salmon farms remain poorly understood. This study analyzed bacterial community structure in marine sediments subjected to florfenicol treatment from salmon farms in the Los Lagos Region of southern Chile. Methods: Sediment samples were collected and examined through DNA extraction and PCR amplification of the 16S rRNA gene (V3-V4 region). Sequences were analyzed using a bioinformatics pipeline, and amplicon sequence variants (ASVs) were taxonomically classified with a Naïve Bayesian classifier. The resulting ASV abundance were then used to predict metabolic functions and pathways via PICRUSt2, referencing the MetaCyc database. Results: Significant differences in bacterial phyla were observed between the control farm and two farms treated with florfenicol (17 mg kg[-1] body weight per day) for 33 and 20 days, respectively. Farm 1 showed notable differences in phyla such as Bacteroidota, Bdellovibrionota, Crenarchaeota, Deferrisomatota, Desulfobacterota, Fibrobacterota, Firmicutes, and Fusobacteriota, while Farm 2 exhibited differences in the phyla Bdellovibrionota, Calditrichota, Crenarchaeota, Deferrisomatota, Desulfobacterota, Fusobacteriota, Nanoarchaeota, and Nitrospirota. Shannon Index analysis revealed a reduction in alpha diversity in the treated farms. Comparative analysis between the control and the treated farms showed pronounced shifts in the relative abundance of several bacterial phyla, including statistically significant differences in Chloroflexi and Firmicutes. Predicted functional pathways revealed a notable enrichment of L-methionine biosynthesis III in Farm 2, suggesting a shift in sulfur metabolism potentially driven by antimicrobial treatment. Additionally, increased activity in fatty acid oxidation pathways indicates a higher microbial potential for lipid degradation at this site. Conclusions: These findings highlight the considerable influence of florfenicol on sediment microbial communities and reinforce the need for sustainable management strategies to minimize ecological disruption and the spread of antimicrobial resistance.

RevDate: 2025-10-28
CmpDate: 2025-10-28

Ramsay DE, McDonald W, Gow SP, et al (2025)

The Potential for Sample Testing at the Pen Level to Inform Prudent Antimicrobial Selection for Bovine Respiratory Disease Treatment: Investigations Using a Feedlot Simulation Tool.

Antibiotics (Basel, Switzerland), 14(10): pii:antibiotics14101009.

Background: Antimicrobial drugs are used to treat bacterial diseases in livestock production systems, including bovine respiratory disease (BRD) in feedlot cattle. It is recommended that therapeutic antimicrobial use (AMU) in food animals be informed by diagnostic tests to limit the emergence of antimicrobial resistance (AMR) and preserve the effectiveness of available drugs. Recent evidence demonstrates preliminary support for the pen as a prospective target for AMR testing-based interventions in higher-risk cattle. Methods: A previously reported agent-based model (ABM) was modified and then used in this study to investigate the potential for different pen-level sampling and laboratory testing-informed BRD treatment strategies to favorably impact selected antimicrobial stewardship and management outcomes in the western Canadian context. The incorporation of sample testing to guide treatment choice was hypothesized to reduce BRD relapses, subsequent AMU treatments and resultant AMR in sentinel pathogen Mannheimia haemolytica. The ABM was extended to include a discrete event simulation (DES) workflow that models the testing process, including the time at sample collection (0 or 13 days on feed) and the type of AMR diagnostic test (antimicrobial susceptibility testing or long-read metagenomic sequencing). Candidate testing scenarios were simulated for both a test-only control and testing-informed treatment (TI) setting (n = 52 total experiments). Key model outputs were generated for both the pen and feedlot levels and extracted to data repositories. Results: There was no effect of the TI strategy on the stewardship or economic outcomes of interest under baseline ecological and treatment conditions. Changes in the type and number of uses by antimicrobial class were observed when baseline AMR in M. haemolytica was assumed to be higher at feedlot arrival, but there was no corresponding impact on subsequent resistance or morbidity measures. The impacts of sample timing and diagnostic test accuracy on AMR test positivity and other outputs were subsequently explored with a theoretical "extreme" BRD treatment protocol that maximized selection pressure for AMR. Conclusions: The successful implementation of a pen-level sampling and diagnostic strategy would be critically dependent on many interrelated factors, including the BRD treatment protocol, the prevalences of resistance to the treatment classes, the accuracy of available AMR diagnostic tests, and the selected "treatment change" thresholds. This study demonstrates how the hybrid ABM-DES model can be used for future experimentation with interventions proposed to limit AMR risk in the context of BRD management.

RevDate: 2025-10-28
CmpDate: 2025-10-28

Loera MY, de Figueras CG, Sánchez-Costa M, et al (2025)

Co-expression of environmental extremophilic genes strongly enhances Escherichia coli cross-protection to abiotic stress.

Extremophiles : life under extreme conditions, 29(3):39.

Nature is home to a wide range of species that thrive in extreme conditions. Despite the identification and study of many extremophilic organisms, significant questions remain regarding the limits of life and the potential for enhancing, combining, or transferring extreme characteristics to other organisms. In previous works of our group, several genes retrieved from environmental extremophiles using functional metagenomics were shown to increase the tolerance of the model bacterium Escherichia coli towards different stress conditions. Here, we proposed to evaluate whether the rational combination of those resistance genes isolated from environmental extremophiles and involved in different molecular mechanisms enhanced the cross-protection of E. coli to extreme conditions. Data revealed that the simultaneous introduction in E. coli of environmental extremophilic resistance genes involved in protein degradation, biofilm formation, oxidative stress, and DNA protection resulted in strongly enhanced, non-additive effects, significantly increasing survival rate under perchlorate exposure, UV radiation, and low pH compared to the individual introduction of these genes. Our findings supports that the introduction of multiple resistance genes isolated from environmental extremophiles that belong to diverse biological processes of stress adaptation may be crucial for engineering of multi-resistant species of interest in biomanufacturing and astrobiology.

RevDate: 2025-10-28
CmpDate: 2025-10-28

Xie X, Ren W, Zhou W, et al (2025)

Genetic prediction of the effect of gut microbiota on retinal vein occlusion via blood metabolites.

International ophthalmology, 45(1):447.

PURPOSE: Given the unclear causal relationship between gut microbiota (GM) and retinal vein occlusion (RVO) and the potential mediating role of blood metabolites, this study aims to investigate this causal link and the mediating effects of blood metabolites.

METHODS: Our Mendelian randomization (MR) study used data from genome-wide association studies pooled data, including 473 microbiota taxa (n = 5959), 233 blood metabolites (n = 136,016), and RVO cases and controls from the FinnGen consortium (cases, n = 775; controls, n = 308,633). We used bidirectional two-sample MR, multivariate MR, and mediation analysis to assess the causal association between GM and RVO.

RESULTS: By analyzing gut microbial metagenomic data with adjustment for confounding factors, we identified 1 taxon with significant causal association and 14 taxa with potential causal links to RVO, where Halomonadaceae remained after Bonferroni correction. Parallel analysis of blood metabolites revealed 18 causal associations (2 significant, 16 potential), with apolipoprotein A-I and creatinine retaining significance post-correction. Three GM taxa affected RVO through three blood metabolites. Caloranaerobacteraceae, Rhodococcus, and Citrobacter A affected RVO through Total cholesterol in HDL2, Apolipoprotein A-I, and phenylalanine, respectively. Apolipoprotein A-1 possessed the greatest mediated effect (5.6%) between Rhodococcus and RVO.

CONCLUSION: These findings provide new insights into the pathogenesis of RVO and may contribute to the development of new strategies for preventing the onset of RVO.

RevDate: 2025-10-28

Hirayama M, Maeda T, Kashihara K, et al (2025)

Linking diet, gut microbiota, and metabolites to Parkinson's disease risk: a shotgun metagenomic comparison of Japanese and Taiwanese cohorts.

Journal of neural transmission (Vienna, Austria : 1996) [Epub ahead of print].

Emerging evidence suggests that gut microbiota and its metabolites play pivotal roles in the pathogenesis of Parkinson's disease (PD). However, cross-national differences in diet and microbial composition may account for the striking variability in PD prevalence worldwide. To address this, we performed a comparative shotgun metagenomic analysis between Japanese and Taiwanese individuals, two genetically similar East Asian populations with distinct dietary habits and differing PD incidence rates. Our analysis revealed marked differences in dietary intake: Taiwanese individuals consumed higher amounts of animal fats and tropical fruits, whereas the Japanese diet was characterized by greater intake of seafood, root vegetables, and traditional fermented foods such as natto. These dietary patterns were reflected in gut microbiota profiles. Japanese individuals exhibited a higher abundance of Blautia, Faecalibacterium, and Bifidobacterium, while Taiwanese samples were enriched in Bacteroides and Alistipes. Functionally, genes involved in short-chain fatty acid (SCFA), vitamin, and polyamine biosynthesis were significantly reduced in PD patients and in the Taiwanese cohort. Metabolomic analyses corroborated these findings, showing decreased levels of SCFAs, polyamines, and key vitamins such as nicotinate and pantothenate in PD patients. Notably, Blautia abundance correlated positively with a broad range of beneficial metabolites, highlighting its potential role as a central modulator of host-microbe metabolic interactions. Our findings suggest that traditional Japanese dietary practices may shape a gut microbial environment that confers resistance to PD, underscoring the need for future interventional studies targeting diet-microbiota interactions in PD prevention and treatment.

RevDate: 2025-10-28

Kumar R, Nagraik R, Lakhanpal S, et al (2025)

Artificial intelligence in gut microbiome research: Toward predictive diagnostics for neurodegenerative disorders.

Acta microbiologica et immunologica Hungarica [Epub ahead of print].

The human gut microbiota plays a pivotal role in maintaining host immunity, regulating metabolism, and sustaining neurophysiological homeostasis. Increasing evidence implicates gut dysbiosis in the onset and progression of neurodegenerative disorders (NDDs), including Alzheimer's and Parkinson's disease, primarily through the gut-brain axis. Recent advances in high-throughput sequencing and multi-omics technologies, such as metagenomics, metabolomics, and metaproteomics have generated vast datasets, yet their clinical translation remains hindered by data heterogeneity, analytical complexity, and the absence of standardized workflows. Disjointed findings across studies underscore the urgent need for reproducible pipelines and integrative computational strategies. This review presents a comprehensive framework that leverages artificial intelligence (AI) and machine learning (ML) for systematic microbiome investigation in NDDs. We highlight how multi-omics integration with AI improves the resolution of host-microbiome interactions, while standardized preprocessing workflows ensure reproducibility and comparability across datasets. The role of explainable AI is emphasized in enhancing interpretability, improving biomarker discovery, and fostering trust in predictive models. We further examine the emerging field of pharmacomicrobiomics, where ML-driven approaches support the development of precision therapies tailored to microbiome-drug interactions in neurodegeneration. Sophisticated models, including random forests (RF), neural networks, and transfer learning, are critically assessed for predictive diagnostics, therapeutic target identification, and cross-cohort generalizability. Finally, the review proposes a roadmap to address current barriers, particularly challenges of heterogeneity and reproducibility, and advocates for validated pipelines and interdisciplinary collaboration. Collectively, AI-driven multi-omics strategies hold transformative potential for advancing microbiome-based precision medicine in NDDs.

RevDate: 2025-10-28

Zhang T, Xing M, Zhang H, et al (2025)

Docynia delavayi (Franch.) Schneid polyphenols alleviate dextran sulfate sodium-induced colitis by regulating the gut microbiota.

Food & function [Epub ahead of print].

Docynia delavayi (Franch.) Schneid is rich in polyphenols; however, its functions remain unclear. In this study, we identified and characterized the key constituents of D. delavayi fruit polyphenols (DDP), validated their anti-inflammatory effects, and provided insights into their underlying mechanisms of action. UPLC-MS/MS was used to quantify the major phenolic compounds in DDP, including glycitin, procyanidin B2, vitexin, myricitrin, astilbin, chlorogenic acid, phlorizin, (-)-epicatechin, naringenin-7-O-glucoside, taxifolin-7-O-rhamnoside, rhoifolin, methylnissolin-3-O-glucoside, and scutellarein. In the dextran sulfate sodium-induced colitis mouse model, DDP significantly improved colon length and the disease activity index. It also reduced the expression of inflammatory cytokines, including interleukin (IL)-1β, IL-6, and tumor necrosis factor-α. Metagenomic analysis revealed that DDP increased gut microbiota diversity, particularly enriching species capable of producing short-chain fatty acids (SCFAs), such as Lawsonibacter and Ruminiclostridium. Metabolomic data further demonstrated the upregulation of SCFA-associated pathways, such as glycolysis and pyruvate metabolism, with elevated colonic acetate, propionate, and butyrate levels corroborating these findings. Multi-omics analysis linked SCFAs to reduced inflammation. Collectively, these findings suggest that SCFAs play a pivotal role in the anti-inflammatory effects of DDP by modulating the gut microbiota to enhance SCFA biosynthesis. These findings demonstrate that SCFAs serve as critical mediators of the anti-inflammatory properties of DDP, highlighting their considerable potential as natural therapeutic agents for intestinal inflammation.

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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.

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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.

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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.

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