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Bibliography on: Metagenomics

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ESP: PubMed Auto Bibliography 07 Jan 2026 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: 2026-01-06

Chen T, Yu S, Li K, et al (2026)

Rumen microbiota inoculation indicates collaborative mechanisms enhancing propionate supply to alleviate weaning stress in lambs.

Microbiome pii:10.1186/s40168-025-02283-8 [Epub ahead of print].

BACKGROUND: The transition from milk to solid feed during weaning often imposes metabolic stress on young ruminants due to energy deficits. Previous studies suggest that ruminal microbiota transplantation from adults to juveniles can alleviate weaning stress, but the underlying mechanisms remain poorly defined.

RESULTS: In this study, 48 Hu lambs were randomly assigned to two groups (n = 24 each): an inoculated group (Inoc) that received lyophilized ruminal microbiota and a control group (Ctrl) that received no inoculation. We evaluated rumen fermentation characteristics, blood metabolites, hepatic glycogen levels, expression of hepatic gluconeogenic genes, and shifts in the rumen microbiome at three key time points-the end of weaning, 1 and 2 weeks post-weaning. Oral inoculation significantly elevated rumen propionate concentration, upregulated the gene expression of hepatic pyruvate carboxylase (EC 6.4.1.1) and glucose-6-phosphatase (EC 3.1.3.9), and increased hepatic glucose production. Microbiome analysis revealed increased colonization by lactic acid-producing bacteria (e.g., Olsenella and Sharpea) and propionate producers, such as Megasphaera elsdenii, alongside enriched families associated with propionate production, including Prevotellaceae, Succinivibrionaceae, and Erysipelotrichaceae. Genome-resolved metagenomics further demonstrated an increased abundance of metagenome-assembled genomes (MAGs) carrying polysaccharide utilization loci (PULs) and genes involved in lactate-to-propionate conversion. Notably, the inoculation promoted co-occurrence of functionally complementary MAGs-such as s_Megasphaera elsdenii (MAG98), s_Bilifractor sp902797025 (MAG125), s_Prevotella sp002391185 (MAG342), and s_Prevotella sp900540375 (MAG298)-that carry a wide repertoire of genes involved in polysaccharide degradation and lactate-to-propionate fermentation. In vitro co-culture experiments with Megasphaera elsdenii and Bilifractor porci confirmed their synergistic role in promoting propionate production.

CONCLUSIONS: This study demonstrates that oral inoculation of pre-weaned lambs with starter feed-adapted adult rumen microbiota facilitates the establishment of a microbial consortium capable of enhanced lactate and propionate production, thereby enhancing hepatic gluconeogenesis and energy homeostasis, which ultimately mitigates weaning stress. This approach may offer a promising strategy to facilitate dietary transition and enhance metabolic resilience in young ruminants during weaning by modulating rumen microbial composition toward a propionate-producing community. Video Abstract.

RevDate: 2026-01-06
CmpDate: 2026-01-06

Huang J, Feng Z, Fu J, et al (2026)

Amelioration of acute lung injury by Salvia miltiorrhiza-derived extracellular vesicles: through repair of the vascular barrier and modulation of lung microbiota.

Chinese medicine, 21(1):6.

BACKGROUND: Acute lung injury (ALI) is a severe respiratory disease characterized by diffuse lung injury, vascular barrier dysfunction, and inflammatory responses. Its current treatments such as corticosteroids often involve adverse effects, highlighting the need for alternative therapies. Salvia miltiorrhiza-derived extracellular vesicles (SMEVs) have shown a potential therapeutic value for ALI due to their anti-inflammatory and barrier-protective properties, but the specific mechanisms remain unclear.

METHODS: SMEVs were extracted and purified through differential centrifugation coupled with sucrose density gradient centrifugation, and were analyzed by transmission electron microscopy (TEM) and nanoparticle tracking analysis (NTA). Biosafety assessment was then conducted in zebrafish embryos, mouse organs, and human umbilical vein endothelial cells (HUVEC). Subsequently, the treatment efficacy of SMEV on LPS-induced HUVEC inflammation was evaluated in vitro. LPS-induced ALI mice were then treated with SMEVs to further evaluate the posttreatment lung histopathology, vascular barrier markers, and microbial composition using metagenomics in vivo.

RESULTS: SMEVs exhibited a typical bilayer structure (average size: 177.7 nm) and excellent biosafety properties. In vitro, SMEVs effectively reduced LPS-induced inflammation (IL-1β, IL-6, TNF-α) and promoted wound healing in HUVEC, while in vivo, SMEVs ameliorated pulmonary edema and inflammation, and restored the VE-cadherin expression. Metagenomic analysis revealed that SMEVs were capable of regulating lung microbiota and reducing the pathogenic bacterial (e.g., g-Listeria, g-Streptococcus) and microbial diversity and richness after LPS stimulation.

CONCLUSION: SMEVs can ameliorate ALI by repairing the vascular barrier and modulating lung microbiota, offering a novel therapeutic strategy for this disease. Future research may focus on the SMEV-microbiota-immune interaction targeting ALI treatment.

RevDate: 2026-01-06
CmpDate: 2026-01-06

Manirakiza B, Zhang S, Addo FG, et al (2026)

Untapped Microbial Diversity, Assemblages, and Interactions in Rwandan Geothermal Spring Mats, Africa.

Current microbiology, 83(2):123.

Research on prokaryotes living in geothermal ecosystems have broadened our understanding of their compositions and response to extreme environmental stresses, especially for plankton bacterial communities in hot spring water. However, the comprehensive exploration of microbial diversity, assemblages, and interactions in geothermal spring mats in Africa, particularly in Rwanda, remain underexplored. This study explored the bacterial and eukaryotic communities' biodiversity, assemblages, and interactions within microbial mats from the Bugarama hot pool (BHP; 40-47 °C) and Gisenyi hot springs (GHS; 58-71.4 °C) in Rwanda, using high-throughput sequencing of the 16S rRNA gene and 18S rRNA gene, complemented by null and neutral community models and physicochemical analytical methods. Interestingly, the bacterial Shannon, Evenness, and Simpson indices were significantly different (P < 0.05) among geothermal spring mats. In BHP and GHS, the abundances of Chloroflexota, Proteobacteria, Firmicutes, and Acidobacteriota were significantly higher in BHP (P < 0.05) than in GHS, whereas Cyanobacteria, Bacteroidota, Planctomycetota, Verrucomicrobiota, and Spirochaetota were significantly more abundant in GHS (P < 0.01). Conversely, Chloroplastida, Mucoromycota, Arthropoda, and Cryptomycota were significantly more prevalent in BHP (P < 0.05), while the SAR supergroup, Ascomycota, Nematoda, and Amoebozoa dominated in GHS (P < 0.05). Through null and neutral modeling, stochastic processes exerted greater influence on bacterial and eukaryotic community assembly in fine-scale variations within geothermal spring mats. Despite this stochastic predominance, abiotic environmental factors (deterministic processes) such as temperature, pH, salinity (EC and TDS), and nitrate cannot be entirely ruled out. Moreover, Co-occurrence network analysis (|r|> 0.7, P < 0.05) revealed more complex and stable microbial interactions at higher temperatures (GHS). These findings highlight the rich underexplored microbial diversity and interactions in Rwandan geothermal spring mats through metagenomic analysis, shedding light on ecological processes and dynamics in extreme environments. Despite being ignored in metagenomic studies, eukaryotic communities highlight novel temperature-tolerant taxa: Echinamoeba and Tubulinea in phylum Amoebozoa, Monhysterida in phylum Nematoda, and Novel_Clade_Gran-5 in phylum Cercozoa, which are both pathogens and fierce predators thriving in geothermal habitats.

RevDate: 2026-01-06

Li Y, Cao L, Li W, et al (2026)

Unveiling nitrogen and sulfur cycling mechanisms of odor reduction in kitchen waste composting driven by exogenous bacterial consortia.

Bioresource technology pii:S0960-8524(26)00004-0 [Epub ahead of print].

Odor emissions, primarily ammonia (NH3) and hydrogen sulfide (H2S) restrict the application of kitchen waste (KW) composting. Microbial inoculation is a promising strategy, yet mechanisms underlying odor mitigation remain unclear. KW composting with and without an immobilized bacterial consortium (IBC) was compared by monitoring physicochemical conditions, odor emissions, and microbial and functional profiles. IBC extended the thermophilic phase, improved composting efficiency, and reduced cumulative H2S (-44 %) and NH3 (-18 %). IBC reshaped bacterial, fungal and archaeal communities and strengthened microbial network connectivity. Metagenomic analysis showed IBC enriched nitrogen-fixation genes and suppressed ammonification, nitrification, denitrification, and nitrate reduction. IBC also enhanced thiosulfate and sulfite oxidation while inhibited reductive pathways linked to H2S formation. Partial least squares path model confirmed odor mitigation resulting from coordinated shifts in environmental conditions, microbial structure, and metabolic pathways. Overall, microbial inoculation effectively reduces odor emissions and enhances composting performance by redirecting nitrogen and sulfur transformations.

RevDate: 2026-01-06

Hao X, Zeng W, Gong Q, et al (2026)

Biochar derived from waste iron-rich biosludge promotes iron-nitrogen coupled nitrogen removal in wastewater treatment.

Bioresource technology, 444:133935 pii:S0960-8524(26)00016-7 [Epub ahead of print].

Traditional biological nitrogen removal faces sustainability challenges due to high energy consumption and chemical demands. This study developed a novel autotrophic process leveraging the Fe-N cycle, enhanced by biochar derived from waste iron-rich biosludge (BC-Fe). During 150-day operation, adding 1 g/L BC-Fe (450 °C) achieved a total nitrogen removal efficiency of 94 ± 1 %, reducing aeration energy by 68 % and eliminating the need for external carbon sources compared to conventional nitrification-denitrification. BC-Fe served as a substrate and electron shuttle, facilitating Fe(III) reduction coupled with anaerobic ammonium oxidation (Feammox), nitrate-dependent Fe(II) oxidation, and denitrification, thereby supplying nitrite for Anammox. It enhanced iron bioavailability and established integrated carbon, nitrogen, and iron cycles, promoting microbial metabolism and system resilience. Metagenomics revealed Candidatus Brocadia fulgida performing Feammox via hao, compensating for hzs/hdh deficiency, while Saprospiraceae utilized biochar-derived organics for denitrification. This work provides a scalable solution to promote circular economy principles in wastewater treatment.

RevDate: 2026-01-06

Campos-Silva R, Rahimi F, Joshi J, et al (2026)

Mining bacterial (meta)genomes for enzymes active in aerobic, mesophilic conditions.

Analytical biochemistry pii:S0003-2697(26)00001-1 [Epub ahead of print].

Enzyme biochemistry can now draw on hundreds of thousands of prokaryotic genomes and metagenomes to identify orthologous genes for research, biocatalysis, and metabolic engineering. In many applications, adaptation to O2 and mild temperatures are essential. But as organism lifestyle information can be poor or absent (especially for metagenomes), it is challenging to avoid orthologous genes from anaerobes and extremophiles. Taking bacterial sulfide-dependent THI4 thiazole synthases as test-cases, we built computational pipelines that use only DNA sequence inputs to explore (i) the average oxidation state of carbon (ZC) in orthologous enzymes and (ii) the presence of O2-metabolism genes in the corresponding (meta)genomes. ZC has been proposed to be highest (least negative) in proteins of organisms from O2-rich, mesophilic environments. We found that ZC values of 2,300 THI4s ranged from -0.107 (relatively oxidized) to -0.302 (strongly reduced). As predicted, genes specifying cytochrome c or o oxidases (supporting respiration at relatively high O2 levels) and, to a lesser extent, cytochrome bd oxidases (which can function to scavenge O2) were more frequent in genomes encoding THI4s with high ZC values. Eight THI4s with ZC values in the top 5% and from (meta)genomes having cytochrome oxidases were tested for ability to complement a THI4Δ yeast strain in aerobic conditions. Three THI4 genes from a metagenome with cytochrome c/o oxidase (but without cytochrome bd) were active. These results support the feasibility of combining ZC and cytochrome oxidase profiles to identify bacterial orthologous enzymes that work in aerobic, mild temperature conditions.

RevDate: 2026-01-06

Hou S, Xie E, Si B, et al (2025)

Nanobubble aeration accelerates manure wastewater sanitisation and enhances nitrogen retention while reduces greenhouse gas emissions.

Water research, 292:125267 pii:S0043-1354(25)02168-2 [Epub ahead of print].

Manure wastewater is an organic effluent rich in nitrogen and is often regarded as a valuable recycled nutrient source for crop production; however, it also contains high concentrations of organic pollutants and pathogenic microorganisms, and inadequate treatment can lead to serious environmental and public health risks. Nanobubbles (NBs) aeration is an emerging high-efficiency gas-liquid mass-transfer technology, but its role in nitrogen conservation and hygienic stabilisation of nutrient-rich manure wastewater remains unclear. Here, a 180-day experiment with piggery wastewater compared four NBs and conventional aeration regimes against natural storage. We quantified sanitisation performance, nitrogen transformation, greenhouse-gas emissions, microbial communities and virulence factors, and determined oxygen transfer rate (OTR), oxygen transfer efficiency (OTE) and volumetric mass-transfer coefficient (kLa) under identical airflow. NBs aeration markedly increased dissolved oxygen and ·OH generation, thereby enhancing COD, BOD5 and Escherichia coliremoval and shortening the time to reach hygienic standards by 60 and 150 days compared with conventional aeration and natural storage, respectively.Although TN decreased in all treatments, the shorter sanitisation period under NBs aeration led to higher residual TN at compliance. The TN loss rate was 13.96% and 15.39% lower than under CA and CK, and cumulative N2O emissions were 30.21% lower than under conventional aeration. Network and metagenomic analyses showed that NBs aeration reshaped bacterial, fungal and archaeal communities, weakened virulence-factor connectivity, and strengthened the coupling between nitrogen-cycling microbes and gaseous nitrogen pathways. Quantification of OTR, OTE and kLa demonstrated that these benefits arise from the intrinsic mass-transfer properties of nanobubbles rather than an increased oxygen supply rate. Overall, this work provides new mechanistic insight and engineering evidence that NBs aeration can simultaneously accelerate manure wastewater sanitisation and improve nitrogen management for subsequent fertiliser reuse.

RevDate: 2026-01-05

Yancey CE, Hart LN, GJ Dick (2026)

Secondary metabolism of Microcystis: current understanding and recent advances in unlocking genomic and chemical diversity.

Applied and environmental microbiology [Epub ahead of print].

The cyanobacterial genus Microcystis is globally distributed and known for its ability to produce microcystins, a structurally diverse group of cyanotoxins. However, the biosynthetic capacity of Microcystis is vast; its diverse genomes contain a variety of biosynthetic gene clusters (BGCs) encoding the synthesis of metabolites that may be toxic, have important ecological function, or have applications for biotechnology or drug discovery. Recent studies illustrate that these BGCs vary significantly across Microcystis strains, can be highly expressed in environmental conditions, and may play key roles in cellular physiology, grazer deterrence, and microbial interactions. However, many of these BGCs and metabolites remain poorly characterized or completely uncharacterized, having been identified only through genome sequencing or mass spectrometry, respectively, leaving no knowledge of their structure, bioactivity, or physiological or ecological functions. Here, we synthesize the current body of knowledge regarding the secondary metabolism of Microcystis in terms of genetic and chemical diversity, potential drivers of synthesis, and physiological and ecological functions. This review highlights the need for further research to characterize the largely unexplored genetic and chemical diversity of Microcystis in communities in the environment and discusses the challenges and opportunities of integrating high-throughput multiomic approaches to link uncharacterized gene clusters with their corresponding metabolites. Microcystis will continue to be a rich source for secondary metabolite research as its genetic and chemical potential likely plays a critical role in the persistence and observed dynamics of harmful algal blooms and may harbor uncharacterized toxins and metabolites.

RevDate: 2026-01-05

Surgenor K, C McCormick (2026)

Diving into the hidden viral world of marine protists.

Journal of virology [Epub ahead of print].

As the most abundant biological entities in the ocean, viruses of microbes play important roles in regulating host population dynamics and influencing biogeochemical cycles. Metagenomic surveys have revealed an astounding reservoir of viral genetic diversity in single-celled marine eukaryotes known as protists, but the vast majority of these viruses have not been directly observed, and information about their protist hosts remains fragmentary. The 2023 discovery of mirusviruses provides a striking example, whereby metagenomic surveys of samples collected by the Tara Oceans expedition led to the discovery of a new phylum of viruses, the Mirusviricota, with remarkable chimeric genomes encoding structural proteins from herpesviruses and enzymes from giant eukaryotic viruses. However, because mirusviruses were detected indirectly by metagenomics, their host range remained unclear, and their biological properties unexplored. Here, we provide new insights into research approaches to identify bona fide protist hosts for marine viruses and characterize virus-host interactions. A greater understanding of these viruses and their natural hosts will unlock opportunities to understand the roles that they play in regulating biogeochemical processes in marine habitats.

RevDate: 2026-01-05
CmpDate: 2026-01-05

Pace R, Monti MM, Cuomo S, et al (2026)

Machine Learning Approaches to Assess Soil Microbiome Dynamics and Bio-Sustainability.

Physiologia plantarum, 178(1):e70719.

Understanding soil microbiota dynamics is essential for enhancing bio-sustainability in agriculture, yet the complexity of microbial communities hampers the prediction of their functional roles. Artificial intelligence (AI) and machine learning (ML) offer powerful tools to analyse high-dimensional microbiome data generated by high-throughput sequencing. Here, we apply unsupervised AI-based algorithms to uncover microbial patterns that are not immediately recognisable but are crucial for characterising the biological status of agricultural soils. Soil samples were collected from a site in Northern Italy managed under four strategies: conventional farming without organic matter (C), with organic matter (C + O), with beneficial microorganisms but without organic matter (M), and with both beneficial microorganisms and organic matter (M + O). Metagenomic amplicon sequencing of the 16S ribosomal RNA (rRNA) gene and the internal transcribed spacer (ITS) region was used to profile bacterial and fungal communities. Principal component analysis (PCA), k-means clustering, and t-distributed stochastic neighbour embedding (t-SNE) revealed coherent temporal trajectories in both datasets, with sampling time and crop presence emerging as dominant drivers of community assembly and only subtle compositional shifts attributable to treatments. Fungal communities exhibited higher plasticity and a stronger response to management than bacterial communities, which converged towards a stable oligotrophic core. Our findings highlight the complementary roles of fungal and bacterial guilds and show that unsupervised ML-based workflows provide an effective framework to disentangle temporal and treatment effects in complex microbiome datasets. This exploratory study lays the groundwork for future predictive models aimed at identifying microbial indicators of soil biological status and supporting bio-sustainable agronomic decisions.

RevDate: 2026-01-05
CmpDate: 2026-01-05

Liu J, L Huang (2025)

Case Report: Simultaneous Paragonimus skrjabini infection in twin girls with spontaneous emergence of a juvenile worm from the eyelid of the elder sister.

Frontiers in pediatrics, 13:1708963.

We reported a rare case of paragonimiasis occurring in twin sisters who had eaten raw crabs 7 months ago. The elder sister complained of eyelid swelling and migratory lumps, while the younger sister was asymptomatic. Laboratory tests showed eosinophilia and elevated levels of inflammatory indicators in the two sisters. The brain MRI of the elder twin showed hyperintensity in the frontal lobe, suggesting cerebral hemorrhage. The chest CT image of the twins showed pulmonary involvement. Enzyme-linked immunosorbent assay (ELISA) for serum antibody test and metagenomic next-generation sequencing (mNGS) of subcutaneous tissue from the eyelid-obtained via sterile puncture aspiration under local anesthesia-confirmed Paragonimus skrjabini infection. After praziquantel treatment, both of the sisters recovered. This study aims to enhance clinical awareness and highlight the application of advanced molecular diagnostic technologies for identifying rare parasitic infections.

RevDate: 2026-01-05
CmpDate: 2026-01-05

Lin B, Zhu Z, Yang X, et al (2025)

Protocol for the efficacy and safety of fecal microbiota transplantation in children with autism spectrum disorder: a prospective single-center, single-arm interventional study.

Frontiers in pediatrics, 13:1660773.

BACKGROUND: Autism spectrum disorder (ASD) is a neurodevelopmental condition affecting 0.7% of children globally, with 90% experiencing comorbid gastrointestinal (GI) symptoms. Fecal microbiota transplantation (FMT) may modulate ASD symptoms via the microbiota-gut-brain axis (MGBA).

METHODS: This open-label single-arm trial enrolls 30 children (2-12 years) with moderate-to-severe ASD, defined as a Childhood Autism Rating Scale (CARS) score of ≥36. Participants receive 3 nasojejunal FMTs (5 mL/kg) over 5 days. The primary outcomes are GI symptom improvement, assessed using the Gastrointestinal Symptom Rating Scale (GSRS), and ASD severity, assessed using the CARS. Secondary outcomes include social responsiveness (Social Responsiveness Scale, SRS), aberrant behaviors (Aberrant Behavior Checklist, ABC), and gut microbiota changes assessed by metagenomic next-generation sequencing (mNGS).

ETHICS AND DISSEMINATION: Ethical approval obtained from Shenzhen Children's Hospital Ethics Committee. Results will be disseminated via peer-reviewed publications and conference presentations.Clinical Trial Registration: https://www.chictr.org.cn/showproj.html?proj=229136, identifier ChiCTR2400083998. Registered on 2024-05-08. Registered title: "Efficacy and safety of fecal microbiota transplantation in treatment of autism spectrum disorder: a prospective single-center intervention study".

RevDate: 2026-01-05
CmpDate: 2026-01-05

Zhao Y, Hu X, Li C, et al (2025)

Comprehensive Analysis of Vaginal and Gut Microbiome Alterations in Endometriosis Patients.

International journal of women's health, 17:5775-5786.

PURPOSE: Endometriosis (EMS) is a chronic gynecological disorder with unclear pathogenesis. While the vaginal and gut microbiomes are known to influence EMS, few studies have analyzed both microbiomes integrally. This study aims to characterize the vaginal and gut microbiome profiles in EMS patients and evaluate their diagnostic potential.

PATIENTS AND METHODS: We conducted metagenomic sequencing on 22 paired vaginal and fecal samples from EMS patients and controls. Microbial composition, diversity, and metabolic pathways were analyzed. Machine learning models were employed to assess the predictive performance of microbiome features in EMS diagnosis.

RESULTS: EMS patients exhibited pronounced shifts in the vaginal microbiome, characterized by reduced Lactobacillus and increased Bifidobacterium and Gardnerella, which correlated with elevated luteinizing hormone (LH) and follicle-stimulating hormone (FSH) levels. The gut microbiome displayed decreased diversity, with a depletion of beneficial taxa such as Ruminococcus and Prevotella, alongside an enrichment of Dialister. Metabolic pathways in both microbial communities were significantly altered. Machine learning analyses demonstrated that gut microbiome features outperformed both vaginal microbiome and hormonal indices in predicting EMS, highlighting their strong diagnostic potential.

CONCLUSION: This study underscores the pivotal role of the gut microbiota in EMS and elucidates the complex interplay between microbial dysbiosis and disease pathogenesis. Our findings indicate that gut microbiome signatures may serve as superior diagnostic biomarkers for EMS, thereby paving the way for microbiome-based diagnostic and therapeutic strategies.

RevDate: 2026-01-05
CmpDate: 2026-01-05

Zeng A, Yang M, Yang T, et al (2026)

Effects of hot water treatment, silver hydroxide ion solution and carboxymethyl chitosan on Lanxangia tsao-ko quality.

Food chemistry. Molecular sciences, 12:100326.

The fruit of Lanxangia tsao - ko (LT), a widely used spice, is highly perishable during storage and transportation making it essential to develop effective preservation methods. This study employed multi-omics techniques to evaluate the effects of three different treatments on the quality of LT during short-term storage. Results demonstrated that, compared to the tap water control group (TW), the hot water treatment group (HW), carboxymethyl chitosan treatment group (CMC), and hydrogen peroxide‑silver ion solution treatment group (SP) significantly suppressed the increase in color change intensity (ΔE), browning index (BI), weight loss rate (W%), and rot rate (R%) of LT. Furthermore, these treatments promoted the accumulation of beneficial flavor substances, while reducing the level of unfavorable ones. Both CMC and SP were effective in inhibiting the increase of LT's respiration intensity and the relative abundance of pathogenic microorganisms like Rhizopus microsporus and Rhizopus arrhizus. However, HW led to an abnormal decrease in respiration intensity and increases the relative abundance of certain pathogenic microorganisms. In summary, although the temperature setting in the hot water treatment group was not ideal, hot water treatment still significantly inhibited the spoilage and discoloration phenomenon. Both CMC and SP can effectively extend the storage and transportation period of LT in all aspects. This study provides a new idea for the preservation of LT.

RevDate: 2026-01-05
CmpDate: 2026-01-05

Liu Y, Wang J, Wei W, et al (2025)

Depth differentiation of microbial communities and nutrient cycling functional genes in semi-arid riparian soil.

Frontiers in microbiology, 16:1717707.

INTRODUCTION: Microbial communities and their associated carbon, nitrogen, and phosphorus metabolic processes play a role in maintaining ecological functions and nutrient cycling in riparian zones. However, systematic research on the coupling mechanisms of carbon, nitrogen, and phosphorus biogeochemical processes in soil profiles of semi-arid riparian soil is still limited.

METHODS: This study focused on the riparian zone of the Tuwei River, a typical semi-arid river. Metagenomic sequencing was used to analyze the composition of microbial communities and their carbon, nitrogen, and phosphorus metabolic functions across different soil depths along the river.

RESULTS: The dominant taxa across all depths and river sections were Proteobacteria (average relative abundance 49.85%) and Serratia (11.23%). Results from ANOVA and Tukey-Kramer post-hoc multiple comparison tests showed that microbial diversity significantly decreased with increasing soil depth (p < 0.05). Gene families associated with carbon fixation (accC, pccB), denitrification (nosZ, nirK), and phosphorus metabolism (purC, guaB, pyrG) were significantly enriched in surface soils and showed clear depth-dependent declines (p < 0.05). Partial Mantel tests revealed that microbial metabolic functions were significantly correlated with porosity (p < 0.05), soil organic carbon, total nitrogen, and total phosphorus, confirming that nutrient availability and soil structure are key regulators of microbial biogeochemical functions.

CONCLUSION: Our findings reveal that nutrient availability and soil structure jointly regulate the vertical distribution of microbial metabolic functions. These insights provide a scientific basis for ecological restoration and soil management in semi-arid riparian zones, where optimizing surface structure and nutrient inputs can stimulate microbial-driven biogeochemical cycling. Key functional taxa and genes may also serve as sensitive indicators for evaluating restoration effectiveness under climate-induced stress.

RevDate: 2026-01-05
CmpDate: 2026-01-05

Duan Y, Li X, Chai Y, et al (2025)

Adlercreutzia-modulated polyunsaturated fatty acid metabolism underlies nicotine's anti-obesity effects.

Frontiers in microbiology, 16:1682370.

BACKGROUND: The regulatory effects of nicotine on energy balance through central and peripheral mechanisms have been reported. However, its impact on obesity and gut microbiota at safe doses remains unclear.

RESULTS: In this study, it was found that chronic oral nicotine administration daily at relative low dose (0.5 mg/kg) significantly alleviated high-fat diet (HFD)-induced obesity phenotypes in mice, including body weight gain, fat deposits, hepatic steatosis, inflammation and metabolic dysfunction. Gut microbiota depletion and fecal microbiota transplantation (FMT) confirmed that these beneficial effects were microbiota-dependent. Metagenomic sequencing confirmed that nicotine administration reshaped gut microbiota composition, and specifically enriched the commensal genus Adlercreutzia, whose increased abundance correlated with improved biochemical indicators related to obesity. Furthermore, transplantation of Adlercreutzia reproduced anti-obesogenic effects, suggesting it was a key factor for nicotine reducing HFD-induced obesity. Untargeted metabolomics analysis combined association analysis further demonstrated that nicotine modulated host metabolic profiles via gut microbiota-metabolite axis, particularly enhancing Adlercreutzia-linked lipid metabolites involved in polyunsaturated fatty acid (PUFA) metabolism.

CONCLUSION: Collectively, our study elucidates the critical involvement of gut microbiota in nicotine-induced obesity amelioration, uncovers a novel Adlercreutzia-PUFA metabolic axis mediating nicotine's anti-obesity effects, and highlight Adlercreutzia potentiation as a promising microbiota-directed invention strategy for obesity and metabolic syndrome.

RevDate: 2026-01-05
CmpDate: 2026-01-05

Sun X, Jiao Q, Fu X, et al (2025)

Case Report: Severe psittacosis in an elderly patient without avian exposure: diagnosis via metagenomic next-generation sequencing and rapid response to doxycycline.

Frontiers in medicine, 12:1689333.

Chlamydia psittaci causes psittacosis in both birds and humans, typically following avian exposure. We present a case of severe psittacosis in a 73-year-old woman with no documented bird contact. The diagnosis was ultimately achieved through metagenomic next-generation sequencing (mNGS) after initial conventional serologic tests failed to identify a pathogen. The patient presented with fever and pneumonia that were unresponsive to broad-spectrum antibiotics. mNGS performed on a whole-blood sample collected on hospital day 5 detected C. psittaci, albeit with a low number of specific sequence reads (only 14 reads mapping to the C. psittaci genome). Oral doxycycline (100 mg q12h) was initiated promptly, resulting in defervescence within 24 h and resolution of inflammatory markers. Although community pet parrots were identified as a potential source, the patient denied any direct contact. This case highlights the risk of environmental aerosol transmission in the absence of direct avian exposure, demonstrates the critical role of mNGS in diagnosing culture-negative pneumonia, and underscores the efficacy of early doxycycline therapy. Strengthened public health surveillance of avian reservoirs is imperative to mitigate unrecognized transmission.

RevDate: 2026-01-05
CmpDate: 2026-01-05

Gómez-Cebrián N, Trull MC, Gras-Colomer E, et al (2025)

Systemic metabolic reprogramming and microbial dysbiosis in Fabry disease: Multi-omics mechanisms and implications for drug development.

Frontiers in pharmacology, 16:1702682.

Current treatments, including enzyme replacement and pharmacological chaperones, have improved disease outcomes but often fail to fully prevent progression or alleviate persistent symptoms, underscoring the need for novel therapeutic strategies. Recent systems biology and multi-omics approaches have revealed consistent and previously underappreciated alterations in systemic metabolism and the gut microbiota in FD. Here, we synthesize evidence from metabolomic, lipidomic, transcriptomic, and metagenomic studies in patients and experimental models, highlighting disturbances in redox balance, mitochondrial function, energy metabolism, and microbiota-derived metabolites such as short-chain fatty acids and tryptophan catabolites. These findings point to new mechanisms underlying gastrointestinal, inflammatory, and metabolic complications in FD, with direct implications for biomarker discovery and drug development. We further discuss the challenges of integrating multi-omics data into clinical research, the value of mechanistic studies in disease models, and the potential for translating omics-derived insights into precision diagnostics and targeted therapies. By framing FD as a systemic disorder of metabolic and microbial dysregulation, this review outlines a roadmap for mechanism-based interventions that extend beyond canonical glycosphingolipid targets.

RevDate: 2026-01-05
CmpDate: 2026-01-05

Huang MY, Li Z, Zhang W, et al (2026)

EBV+ and Kaposi's Sarcoma Herpesvirus-Associated Multicentric Castleman Disease in a Patient With HIV Infection: A Case Report.

Case reports in infectious diseases, 2026:5567369.

Multicentric Castleman disease is a rare proliferative disease of lymphoid tissue. It has rarely been reported in Asian countries, particularly in HIV-positive patients. Here, we report a case of Kaposi's sarcoma herpesvirus-associated Multicentric Castleman disease (KSHV-MCD). A 44-year-old male HIV patient with a good response to antiretroviral therapy presented with recurrent fever and bilateral axillary masses. He was hospitalized for recurrent exacerbations, and it took 7 years from onset to definitive diagnosis. Lymph node biopsy suggested Castleman disease. Metagenomic next-generation sequencing (mNGS) of the blood showed that the patient was infected with KSHV (8327 sequence reads) and EBV (283 sequence reads). The patient was administered rituximab, thalidomide, sodium phosphonates, and ganciclovir. The patient's symptoms were completely relieved, and all indicators returned to normal, with no recurrence during follow-up. This case underlines that it is necessary to perform multiple lymph node biopsies or repeat the biopsies multiple times for the diagnosis of KSHV-MCD.

RevDate: 2026-01-05
CmpDate: 2026-01-05

Chen W, Liu R, Qi Q, et al (2025)

Comparative Evaluation of mNGS and Traditional Culture Methods in Pathogen Detection for Pulmonary Infections.

Infection and drug resistance, 18:6991-6998.

PURPOSE: This study aimed to evaluate the diagnostic accuracy and clinical applicability of metagenomic next-generation sequencing (mNGS) in pulmonary infections by comparing it with traditional culture methods in a Traditional Chinese Medicine (TCM) hospital setting.

METHODS: This retrospective cohort study enrolled 67 consecutively admitted patients with radiologically and clinically confirmed pulmonary infections from the Department of Respiratory Infectious Diseases at Xinchang Hospital of Traditional Chinese Medicine between December 2022 and September 2024. Clinical specimens included blood, bronchoalveolar lavage fluid (BALF), sputum, hydrothorax and cerebrospinal fluid (CSF). mNGS and conventional culture were performed to compare detection rates and microbial community profiles.

RESULTS: Among 67 cases, mNGS identified pathogens in 89.55% (60/67), compared to 20.90% (14/67) by traditional culture. Of 14 dual-positive cases, only 1 (1/14, 7.14%) showed complete concordance, while most exhibited discordance or partial genus-level overlap. mNGS further detected viral co-infections in 44.78% (30/67) and identified fastidious/non-culturable pathogens such as enterovirus, human herpesvirus type 1, and Mycobacterium tuberculosis. Patients with chronic diseases were more susceptible to EB virus infections.

CONCLUSION: mNGS significantly enhances pathogen detection in pulmonary infections, supports targeted antimicrobial therapy, and holds potential for contributing to clinical outcomes and reducing antibiotic resistance.

RevDate: 2026-01-05
CmpDate: 2026-01-05

Guzmán-Fierro V, Quiroz M, Moscoso K, et al (2026)

Aerobic granular sludge as a regenerative system for nutrient removal and metal recovery from landfill leachate.

RSC advances, 16(2):1121-1133.

Landfill leachate is a complex and variable wastewater rich in organic matter, ammonium, salts, and metals, with low biodegradability and highly fluctuating composition. Its management still largely relies on energy- and chemical-intensive treatment schemes, making the treatment of raw, undiluted landfill leachate particularly challenging. This study evaluates, at lab scale, the potential of aerobic granular sludge (AGS) for achieving simultaneous pollutant removal and metal recovery in a 2-L column sequencing batch reactor fed with raw, undiluted landfill leachate collected from an active municipal landfill site. The reactor was operated for 198 days without dilution or addition of co-substrates. This operation resulted in stable granulation and high removal efficiencies, 94% for chemical oxygen demand (COD) and 97% for total nitrogen. Cation analysis shows that assimilation reached 600.47 µmol g[-1] TS, with calcium and magnesium being the predominant cations. Quantitative analyses revealed near-equal contributions from biosorption (53%) and bioaccumulation (47%), with magnesium dominating biosorption and calcium prevailing in bioaccumulation. Then, a partial metal recovery was achieved by desorption with 0.1 M NaCl, without compromising the granule structure, as verified by FTIR and scanning electron microscopy (SEM). However, the desorption process reduced nitrification and denitrification activities by factors of 3.7 and 1.8, respectively, while heterotrophic activity increased by 2.4-fold. Metagenomic analysis revealed microbial shifts following desorption, favouring genera such as Paracoccus and Burkholderia, which are associated with heterotrophic metabolism. These results demonstrate the potential of AGS as a regenerative biosorbent for treating landfill leachate and recovering metals. This approach supports sustainable and circular strategies for managing landfill leachate and similar complex effluents.

RevDate: 2026-01-04

Aghajani S, Kerdraon M, Wilson J, et al (2026)

Screening of exoenzymes for guar gum biodegradation in activated sludge and soil.

Environmental science and pollution research international [Epub ahead of print].

Originally standardized biodegradation tests, designed for small molecules, are often considered inadequate for evaluating polymers, as they do not account for the crucial fragmentation step catalyzed by exoenzymes, which is essential for initiating the microbial degradation of polymers. In this study, the presence of EEs in the environment and their role in the biodegradation of guar gum, a WSP, were evaluated. A metagenomic shotgun approach assessed the abundance of genes encoding α-galactosidase and β-mannosidase in the Waste Water Treatment Plant (WWTP) and soil. Secondly, we employed sonication to release EEs, measured their activity, and evaluated the impact of their release on guar degradation using biodegradation tests. These findings indicated that genes encoding α-galactosidase and β-mannosidase were more abundant in the WWTP than in soil. A sonication protocol with a power density of 1 W/mL and a frequency of 20 kHz for 1 min (WWTP) and 2 min (soil) released EEs without significant cell lysis and significantly reduced the lag phase of guar-grafted acrylamide biodegradation from 8 to 5 days and decreased variability in native guar biodegradation by 10%. Our findings highlight the potential of WWTP and soil microbial communities to degrade guar gum by screening EEs and propose a new method for preparing the inoculum for WSPs biodegradation tests.

RevDate: 2026-01-04

He H, Han L, Ni W, et al (2026)

The horse gut microbiota genome represents a vast novel reservoir of CAZymes.

International journal of biological macromolecules pii:S0141-8130(25)10599-0 [Epub ahead of print].

Herbivores represent crucial subjects for mining highly efficient carbohydrate-active enzymes (CAZymes) from gut microbiomes. Here, we analyzed 12,763 metagenome-assembled genomes (MAGs) from the horse gut, revealing that its microbial community as a rich reservoir of CAZymes diversity, with 5,204,848 glycoside hydrolases (GHs) and 4,596,191 glycosyl transferases (GTs) identified. Our findings demonstrate that Bacteroidota (5,479,287 CAZymes) and Bacillota_A (2,987,684 CAZymes) serve as the primary functional phyla for plant polysaccharide degradation. A total of 17,250 polysaccharide utilization loci (PULs) discovered in Bacteroides species. Through comparative genomic screening, a total of 12,976 hypothetical genes were predicted in PULs. These genes represent a putative novel reservoir of CAZymes. We selected and identified a putative CAZyme, which encodes 452 amino acids and is designated H113. Our research has confirmed that H113 is a metal enzyme (Zn[2+] significantly enhancing its catalytic efficiency) capable of degrading α-1,4 glycosidic bonds in maltotriose and also exhibiting activity toward mannan, demonstrating optimal activity at pH 4.8 and 35 °C (specific activity: maltotriose: 82.2 U/mg, mannan: 2.3 U/mg). Phylogenetic analysis revealed H113 belongs to a conserved enzyme family with 1866 identified homologues. This study not only provides a reference for efficient discovery of novel CAZymes but also offers valuable resources for developing novel biocatalysts.

RevDate: 2026-01-04

Miyachi H, Shibata R, Javornik Cregeen SJ, et al (2026)

Interactions between host genetics and gut microbiome influence susceptibility to childhood asthma and lung function.

The Journal of allergy and clinical immunology pii:S0091-6749(25)02235-3 [Epub ahead of print].

BACKGROUND: The gut microbiome is thought to influence risk of childhood allergic diseases; however, data on species-level links to childhood asthma and lung function are limited, and the role of host genetics in the gut-lung axis remains unclear.

METHODS: In a multicenter cross-sectional study of children with a history of bronchiolitis, from the 35[th] Multicenter Airway Research Collaboration, we performed shotgun metagenomic profiling of stool samples at age 6 years and examined associations of gut microbiome with prevalent asthma and lung function. We also calculated polygenic risk scores (PRS) of asthma and lung function to investigate the interaction between host genetics and gut microbiome on these traits.

RESULTS: In the 300 children included for this study, three bacterial species (e.g., Bacteroides vulgatus, Eisenbergiella massiliensis, Butyricimonas virosa) were differentially associated with FEV1, and four bacterial species were differentially associated with FEV1/FVC (e.g., Bifidobacterium longum) (MaAsLin: FDR<0.25). Furthermore, host genetics-gut microbiome interaction analysis showed association of B.vulgatus (FDR=0.037) and Bacteroides uniformis (FDR=0.037) with FEV1/FVC among children with high FEV1/FVC PRS. Additionally, Ruminococcus bromii (FDR=0.067) and Alistipes indistinctus (FDR=0.13) were suggested to have protective associations with asthma, specifically in children with high asthma PRS, indicating that host genetics can modulate the effect of gut microbiome on these respiratory outcomes.

CONCLUSION: By applying the metagenomic approach to a multicenter cohort of children with a history of bronchiolitis during infancy, this study suggests potential interplay of host genetics with gut microbiome, and their integrated relationship with childhood asthma and lung function.

RevDate: 2026-01-04

Meng Y, Hou Y, Zhang R, et al (2025)

Jinlida ameliorates diabetic kidney disease via gut microbiota-dependent production of pyridoxamine targeting renal AGEs/RAGE and TGF-β pathways.

Phytomedicine : international journal of phytotherapy and phytopharmacology, 150:157744 pii:S0944-7113(25)01378-9 [Epub ahead of print].

BACKGROUND: Diabetic kidney disease (DKD) is the leading cause of chronic kidney disease and end-stage renal disease (ESRD), necessitating novel therapies beyond conventional approaches. Emerging evidence indicates that gut microbiota dysbiosis promotes DKD progression through metabolite-mediated renal injury. Jinlida (JLD) is a clinically validated traditional Chinese medicine with antidiabetic activity, but its microbiota-mediated renoprotective mechanism remains unclear.

PURPOSE: This study investigates whether JLD alleviates DKD by modulating gut microbiota and vitamin B6 metabolism, and elucidates the renoprotective mechanism of its key metabolite, pyridoxamine (PM).

METHODS: To assess JLD's microbiota-dependent effects, we employed antibiotic-induced pseudo-germ-free mice and fecal microbiota transplantation (FMT). Metagenomics and untargeted metabolomics delineated gut microbiota and metabolite compositional changes. Renal PM levels were quantified by LC-MS/MS. The renoprotective effects and mechanisms of direct PM supplementation against DKD were further evaluated in vivo and in vitro.

RESULTS: JLD's therapeutic effects on proteinuria and glomerulosclerosis were shown to partially depend on microbiota homeostasis. Metabolomic analysis demonstrated that JLD significantly upregulated the vitamin B6 metabolic pathway and increased levels of related metabolites, including PM and pyridoxine (PN). Metagenomic analyses indicated that JLD remodeled the gut microbiota composition and enriched pathways related to cofactor biosynthesis, and markedly increased the relative abundance of key enzyme genes involved in the de novo (DXP-dependent) vitamin B6 biosynthesis pathway - namely pdxJ, pdxB, dxs and dxr. Genes related to vitamin B6 activation and conversion (pdxH, aldH) showed no significant changes, suggesting that JLD may promote PM accumulation by enhancing the microbiota's capacity for vitamin B6 biosynthesis rather than its subsequent activation/conversion. Source-tracking pinpointed Paramuribaculum intestinale as the core functional species. In vitro culture experiments showed that JLD markedly promoted the growth of this strain and elevated PM production, and that the strain's conditioned culture medium effectively inhibited formation of advanced glycation end-products (AGEs). Notably, direct supplementation with PM recapitulated the renoprotective effects of JLD in vivo. Mechanistically, PM inhibited the AGEs-RAGE-NF-κB-AP-1 axis and TGF-β receptor signaling, thereby suppressing NF-κB-driven inflammation and Smad2-mediated fibrosis.

CONCLUSION: JLD remodels the gut microbiota and enhances its de novo vitamin B6 biosynthetic capacity, leading to accumulation of PM. Gut-derived PM enters the circulation and functions as an effector molecule targeting the kidney; through PM's direct carbonyl-trapping activity it scavenges AGEs and suppresses the AGEs-RAGE axis as well as downstream inflammatory and profibrotic signaling, thereby exerting renoprotective effects. This study reveals PM as a microbially derived metabolite with therapeutic potential in DKD and offers a new metabolism-directed strategy for DKD treatment.

RevDate: 2026-01-04

Xu Y, Zhao B, Li F, et al (2026)

Tucidinostat ameliorates DSS-induced ulcerative colitis by inhibiting cellular senescence, modulating the p53 signaling pathway and cell cycle, and restoring the gut microbiota-metabolite Axis.

International immunopharmacology, 171:116155 pii:S1567-5769(25)02145-9 [Epub ahead of print].

Ulcerative colitis (UC) is a chronic inflammatory bowel disease with a complex etiology, and its pathological process is closely associated with cellular senescence. Based on an anti-senescence drug screening system, this study identified Tucidinostat (TUC) as an agent with anti-senescence properties and investigated its therapeutic potential and mechanisms of action in a DSS-induced ulcerative colitis model. Using an in vitro model of colonic epithelial cells and an in vivo C57BL/6 mouse model, both induced by DSS treatment, we systematically evaluated changes in body weight, colon length, histopathological scores, levels of inflammatory cytokines, and senescence-associated markers. Our results demonstrated that TUC significantly inhibited cellular senescence and effectively alleviated colitis-related symptoms. Transcriptomic analysis and Western blotting further revealed that TUC exerts its effects by modulating the p53 signaling pathway and cell cycle progression. Furthermore, integrated metagenomic and untargeted metabolomic analyses revealed that TUC reshapes the gut microbiota-metabolite axis by promoting the proliferation of beneficial bacteria (e.g., s__Eubacterium plexicaudatum and s__Ligilactobacillus murinus) and increasing the levels of beneficial metabolites, such as alpha-muricholic acid and kynurenic acid. In summary, this study provides the first evidence that Tucidinostat can ameliorate ulcerative colitis by targeting cellular senescence, regulating the p53/cell cycle signaling network, and restoring gut microbiota-metabolite homeostasis, offering a novel potential therapeutic strategy for this disease.

RevDate: 2026-01-04

Fu R, Liang XJ, Yang WM, et al (2026)

Gut microbial signatures in schizophrenia: exploring archaea, fungi, and bacteria.

BMC psychiatry pii:10.1186/s12888-025-07721-3 [Epub ahead of print].

BACKGROUND: Gut microbial, mainly bacterial dysbiosis, has been demonstrated in patients with schizophrenia (SCH). However, the signatures and differences of minority gut microbiota in SCH, such as archaea and fungi, have been poorly addressed.

METHODS: We obtained stool samples from 61 SCH patients and 69 healthy controls (HC), and analyzed the compositional and functional alterations of gut archaea, fungi, and bacteria using metagenomic shotgun sequencing (MSS). Additionally, we developed potential biomarkers to distinguish SCH from HC.

RESULTS: SCH patients showed significantly lower archaeal α-diversity compared with that of HC. Whereas there were significant differences between SCH and HC in β-diversity at the species level of archaea, fungi and bacteria. Meanwhile, the functional differences between the two groups were concentrated in glucose, lipid and amino acid metabolic pathways. Furthermore, we established potential diagnostic archaeal (9 species, AUC = 0.73), fungal (8 species, AUC = 0.69), and bacterial (22 species, AUC = 0.74) microbiomes for differentiating SCH patients from HC.

CONCLUSIONS: This study describes a more comprehensive understanding of abnormal gut microbiome in SCH and might provide candidate targets for the development of a microbe-based diagnosis for SCH.

TRIAL REGISTRATION: Chinese Clinical Trial Registry: ChiCTR2000032118, registration date: 2020/04/20.

RevDate: 2026-01-04

Tang LX, Yang ZF, Yang YS, et al (2026)

[Not Available].

AMB Express pii:10.1186/s13568-025-02000-6 [Epub ahead of print].

Uricase, a key enzyme in purine metabolism, is widely used for uric acid detection and for treating gout and hyperuricemia. To obtain a uricase with both high activity and thermal stability, we cloned and heterologously expressed a novel uricase gene (tc1-uox2) from the Tengchong hot spring metagenome and combined enzymatic characterization with molecular dynamics simulations. TC1-Uox2 exhibited optimal catalytic activity at 35 °C and pH 8.0. It showed remarkable thermal stability, retaining over 40% residual activity after 16 h at 40 °C and maintaining over 80% activity for 14 h at physiological temperature (37 °C). In vitro uric acid-lowering assays demonstrated that 1 µg/mL TC1-Uox2 reduced serum uric acid to below 360 µM within 20 min in whole-blood samples from six hyperuricemic patients. Comparative molecular dynamics simulations with rasburicase indicated that, based on RMSF, radius of gyration (Rg), and hydrogen-bond counts, TC1-Uox2 adopts a more compact overall structure. Free energy landscape (FEL) analysis further revealed that TC1-Uox2 occupies deeper and narrower energy basins, consistent with greater conformational rigidity and thermodynamic stability. These findings elucidate the structural basis of its enhanced thermostability. In summary, TC1-Uox2 is a high-activity, high-stability uricase candidate that represents a promising enzyme target for biotherapeutic intervention in hyperuricemia and illustrates the translational potential of extreme-environment metagenomics for metabolic disease applications.

RevDate: 2026-01-03

Abuqwider J, Pasolli E, Scidà G, et al (2025)

Gut microbiome profiles and associated functional pathways are linked to Mediterranean diet adherence and blood glucose control in adults with type 1 diabetes mellitus.

Nutrition, metabolism, and cardiovascular diseases : NMCD pii:S0939-4753(25)00642-8 [Epub ahead of print].

BACKGROUND AND AIMS: The Mediterranean diet (MD) has been associated with better glycaemic control in children with type 1 diabetes mellitus (T1DM) and favourable microbiome profiles in healthy individuals. However, it remains unclear whether MD adherence is associated with glycaemic control via microbiome. This study examined the relationships among MD adherence, gut microbiome, and glycaemic control in adults with T1DM and assessed the microbiome's ability to predict clinical and dietary outcomes.

METHODS AND RESULTS: In a cross-sectional study of 253 adults with T1DM, dietary intake was assessed using the EPIC food frequency questionnaire, and MD adherence was measured using the rMED score. Participants were stratified by adherence level (low, medium, high). Glycaemic control was evaluated using HbA1c and CGM metrics. Shotgun metagenomic sequencing of stool samples (n = 103) assessed the gut microbiome. Statistical analyses included ANOVA, PERMANOVA, LEfSe, and machine learning modeling. Higher MD adherence was associated with lower HbA1c levels (7.1 % vs 7.7 %; p < 0.001), greater time in range (67.0 % vs 59.4 %; p-trend = 0.03), and higher HDL cholesterol (1.62 vs 1.39 mmol/L; p = 0.01). High MD adherence was linked to a greater abundance of bacterial species such as Faecalibacterium prausnitzii. Both high MD adherence and lower HbA1c were associated with distinct microbiome functional pathways. Microbiome-based machine learning models predicted dietary patterns and clinical metrics.

CONCLUSIONS: In adults with T1DM, greater MD adherence is associated with better glycaemic control and a favourable gut microbiome. Specific microbial pathways may underlie these associations. Integrating diet and microbiome data supports personalized care. The study was registered at ClinicalTrials.gov with the identifier NCT05936242.

RevDate: 2026-01-03

Lema NK, Gemeda MT, AA Woldesemayat (2026)

Uncovering resistomes in hospital and pharmaceutical industry wastes: insights from shotgun metagenomic profiling.

International microbiology : the official journal of the Spanish Society for Microbiology [Epub ahead of print].

RevDate: 2026-01-05
CmpDate: 2026-01-03

Ip YCA, Allan EA, Hirsch SL, et al (2026)

Fast, Flexible, Feasible: A Transparent Framework for Evaluating eDNA Workflow Trade-Offs in Resource-Limited Settings.

Molecular ecology resources, 26(1):e70091.

Environmental DNA (eDNA) analysis enables biodiversity monitoring by detecting organisms from trace genetic material, but high reagent costs, cold-chain logistics and computational demands limit its broader use, particularly in resource-limited settings. To address these challenges and improve accessibility, we directly compared multiple workflow components, including four DNA extraction methods, two primer sets, three Nanopore basecalling models, and two demultiplexing pipelines. Across 48 workflow combinations tested in an aquarium with 15 fish species, we mapped trade-offs between cost, sensitivity, and processing speed to assess where time and resource savings are possible without compromising detection. Workflows using the Qiagen Blood and Tissue (BT) extraction kit and amplification using the MiFish-U primer set provided the highest sensitivity, detecting ≥ 12 of 15 species by ~3-5 h and reaching the 15-OTU plateau at ~8-10 h with Oxford Nanopore's high accuracy (HAC) basecalling model. Chelex, an alternative lower-cost extraction method, showed partial recovery only (≤ 9 OTUs by 61 h) even with extended sequencing, and did not recover all 15 OTUs. DirectPCR and QuickExtract offered field-friendly extraction alternatives that achieved comparable recovery in ~10-12 h, though their cost-effectiveness varied. While the MarVer1 primer was designed to broaden vertebrate detection, it recovered the same fish species as MiFish-U, though with fewer total reads. Real-time sequencing trials (0-61 h) revealed that high-efficiency workflows (BT + HAC) reached detection plateaus rapidly, indicating sequencing time can be reduced without sacrificing accuracy. The OBITools4 bioinformatics pipeline enabled automated demultiplexing but discarded more reads than an alternative, ONTbarcoder2.3, which retained low-abundance taxa at the cost of manual curation. Rather than identifying a single 'best' workflow, this study provides a transparent decision framework for prioritising cost, speed, and sensitivity in eDNA applications, supporting scalable, cost-effective eDNA monitoring in resource-limited settings.

RevDate: 2026-01-02

Trigodet F, Sachdeva R, Banfield JF, et al (2026)

Troubleshooting common errors in assemblies of long-read metagenomes.

Nature biotechnology [Epub ahead of print].

Assessing the accuracy of long-read assemblies, especially from complex environmental metagenomes that include underrepresented organisms, is challenging. Here we benchmark four state-of-the-art long-read assembly software programs, HiCanu, hifiasm-meta, metaFlye and metaMDBG, on 21 PacBio HiFi metagenomes spanning mock communities, gut microbiomes and ocean samples. By quantifying read clipping events, in which long reads are systematically split during mapping to maximize the agreement with assembled contigs, we identify where assemblies diverge from their source reads. Our analyses reveal that long-read metagenome assemblies can include >40 errors per 100 million base pairs of assembled contigs, including multi-domain chimeras, prematurely circularized sequences, haplotyping errors, excessive repeats and phantom sequences. We provide an open-source tool and a reproducible workflow for rigorous evaluation of assembly errors, charting a path toward more reliable genome recovery from long-read metagenomes.

RevDate: 2026-01-02

Zhou CB, Zhao LC, Qin Y, et al (2026)

Streptococcus anginosus-derived methionine promotes gastric cancer progression.

Gut pii:gutjnl-2025-336966 [Epub ahead of print].

BACKGROUND: Streptococcus anginosus has been linked with an increasing risk of gastric cancer (GC) and recognised as a signature for GC screening.

OBJECTIVE: To investigate the promotional effect of S. anginosus in terms of its metabolic interactions with the host.

DESIGN: We used the functional profiles of shotgun metagenomic sequencing from stools to detect bioactive molecules relevant to S. anginosus. In vivo and in vitro experiments were used to validate the facilitation of S. anginosus to GC progression. S. anginosus clinical strains were isolated and cultivated from cancerous tissues to verify its promotion of GC via methionine production. S. anginosus ΔmetE mutant strains were constructed to confirm the critical role of metE in methionine biosynthesis.

RESULTS: We verified S. anginosus facilitated GC progression in vivo and in vitro. Our functional analysis of metagenomes revealed a significant enrichment of bacterial methionine biosynthesis pathways in GC patients with high S. anginosus abundance. Methionine, identified here as one of the primary microbial metabolites derived from S. anginosus, contributed to GC progression in humans and mice. S. anginosus strains from cancerous tissues were found to promote GC via methionine production. We further observed a higher abundance and prevalence of metE gene in cancer stool metagenomes. By constructing an S. anginosus ΔmetE mutant strain, we confirmed the critical role of metE in methionine biosynthesis.

CONCLUSION: Our results elucidate the role of S. anginosus-derived methionine in GC progression, shedding light on intricate metabolic interplay between S. anginosus and host.

RevDate: 2026-01-02

Yang B, Xia Q, Ji X, et al (2025)

Ganjie Decoction protects against respiratory syncytial virus infection by activating PI3K/AKT-apoptosis axis and regulating gut microbiota metabolism.

Journal of ethnopharmacology pii:S0378-8741(25)01835-5 [Epub ahead of print].

Ganjie Decoction (GJD), a traditional Chinese medicine (TCM) formula commonly used for respiratory diseases, has shown therapeutic potential against RSV pneumonia. However, its pharmacological mechanisms against respiratory syncytial virus (RSV) pneumonia are not fully understood.

AIM OF STUDY: This study aimd to characterize the active components of GJD and systematically investigate its therapeutic effects and underlying mechanisms in RSV-induced pneumonia.

MATERIALS AND METHODS: To evaluate the therapeutic efficacy of GJD in RSV-infected mice, we monitored body weight, performed qPCR, and conducted histopathological examination of lung tissues. The chemical constituents of GJD were characterized using UPLC-MS. Key bioactive compounds and their potential targets were predicted using network pharmacology and molecular docking. The underlying mechanisms were further elucidated using immunohistochemistry and western blotting. The interactions between GJD and the gut microbiota were explored using antibiotic depletion, fecal microbiota transplantation (FMT), metagenomic sequencing, and in vitro co-culture assays. Untargeted metabolomics was employed to assess GJD-induced metabolic alterations. Finally, the role of 4-hydroxyphenylacetic acid (4-HPA) was investigated through cell viability assays, immunofluorescence staining, and western blot analysis in vitro.

RESULTS: GJD significantly mitigated weight loss, attenuated pulmonary viral load, and suppressed inflammation in RSV-infected mice. Network pharmacology and molecular docking revealed that specific compounds in GJD target the PI3K/AKT signaling pathway. This finding was validated by western blotting and immunohistochemistry, which demonstrated that GJD suppresses PI3K/AKT pathway activation, thereby attenuating apoptosis and ameliorating RSV-induced pneumonia. Notably, these protective effects were markedly attenuated in mice with depleted gut microbiota. Furthermore, the therapeutic effects of GJD against RSV pneumonia were transferable via gut microbiota transplantation. GJD restored RSV-induced dysbiosis of the gut microbiota, with Lactobacillus reuteri emerging as one of the most enriched microbes following treatment. Metabolomics analysis identified 4-HPA as a microbiota-dependent metabolite significantly upregulated by GJD. Remarkably, administration of 4-HPA reproduced GJD's therapeutic effects in RSV-infected mice and activated the KEAP1/NRF2 antioxidant pathway, suggesting that 4-HPA functions as a key mediator of GJD's anti-RSV activity.

CONCLUSIONS: These findings suggest that GJD alleviates RSV pneumonia through a synergistic mechanism that modulates the PI3K/AKT-apoptosis pathway, restores gut microbial balance, and normalizes metabolic disturbances. This study systematically elucidates the mechanistic basis underlying the therapeutic effects of GJD against RSV pneumonia.

RevDate: 2026-01-02
CmpDate: 2026-01-02

Regan MD, Chiang E, Grahn M, et al (2026)

Host-microbiome mutualism drives urea carbon salvage and acetogenesis during hibernation.

Proceedings of the National Academy of Sciences of the United States of America, 123(1):e2518978123.

Hibernation is a seasonal survival strategy employed by certain mammals that, through torpor use, reduces overall energy expenditure and permits long-term fasting. Although fasting solves the challenge of winter food scarcity, it also removes dietary carbon, a critical biomolecular building block. Here, we demonstrate a process of urea carbon salvage (UCS) in hibernating 13-lined ground squirrels, whereby urea carbon is reclaimed through gut microbial ureolysis and used in reductive acetogenesis to produce acetate, a short-chain fatty acid (SCFA) of major value to the host and its gut microbiota. We find that urea carbon incorporation into acetate is more efficient during hibernation than the summer active season and that while both host and gut microbes oxidize acetate for energy supply throughout the year, the host's ability to absorb and oxidize acetate is highest during hibernation. Metagenomic analysis of the gut microbiome indicates that genes involved in the degradation of gut mucins, an abundant endogenous nutrient, are retained during hibernation. The hydrogen disposal associated with reductive acetogenesis from urea carbon helps facilitate this mucin degradation by providing a luminal environment that sustains fermentation, thereby generating SCFAs and other metabolites usable by both the host and its gut microbes. Our findings introduce UCS as a mechanism that enables hibernating squirrels and their gut microbes to exploit two key endogenous nutrient sources-urea and mucins-in the resource-limited hibernation season.

RevDate: 2026-01-02
CmpDate: 2026-01-02

Zhu J, Huang Z, Lin Y, et al (2026)

The potential immunological mechanisms of gut microbiota dysbiosis caused by antibiotics exacerbate the lethality of influenza viruses.

Gut microbes, 18(1):2609451.

BACKGROUND: Antibiotics are not recommended to treat influenza A virus (IAV). However, antibiotic misuse for IAV persists worldwide. How to scientifically use antibiotics for IAV-infected patients remains a considerable challenge.

RESULTS: Here, we investigated the impact of antibiotics on viral pathogenicity, pulmonary-intestinal antiviral immunity, and antiviral drug efficacy. Our findings indicated that antibiotic intervention exacerbated IAV-caused mortality and lung injury in mice, manifested as increased mortality rates, shortened survival time, aggravated pulmonary injury, and excessive inflammatory responses. Furthermore, antibiotic pretreatment significantly diminished the efficacy of antivirals. Metagenomic sequencing revealed that antibiotics reduced the diversity and abundance of beneficial gut microbiota, including Lactobacillus and Bifidobacterium, while promoting the proliferation of pathogenic bacteria such as Klebsiella pneumoniae and Escherichia coli. Mechanistically, antibiotic intervention exacerbated IAV-caused excessive inflammatory responses by the blockage of pulmonary-intestinal antiviral immune pathways, which were caused by the upregulation of PKR, RIG-I, ISG15, and TRIM25 levels while downregulating IPS-1 mRNA levels. However, it is noteworthy that the combination of antibiotics and antiviral drugs effectively offset the adverse effects of antibiotic pretreatment on influenza mortality by upregulating IPS-1 levels and partially restoring pulmonary-intestinal immune homeostasis.

CONCLUSIONS: Pulmonary-intestinal immune homeostasis imbalance caused by antibiotic misuse can not only markedly exacerbate the lethality of IAV, but also significantly attenuate the efficacy of antiviral drugs. A mechanistic study confirmed that gut microbes dysbiosis caused by antibiotic pretreatment exacerbates the homeostasis imbalance of host antiviral immunity by blocking the RIG/MDA5/IPS-1 antiviral signaling pathway. However, combination therapy with antibiotics and antivirals effectively reversed the fatal outcome exacerbated by antibiotic pretreatment. Collectively, our findings not only provide a scientific explanation from the perspective of antiviral immunity as to why antibiotics should not be arbitrarily used to treat viral infections but also lay the scientific foundation for the rational clinical use of antivirals and antibiotics for treating influenza.

RevDate: 2026-01-02
CmpDate: 2026-01-02

Sun S, Ning Z, Xu H, et al (2026)

Diagnostic value of plasma cell-free DNA metagenomic next-generation sequencing in patients with suspected infections and exploration of clinical scenarios-a retrospective study from a single center.

Annals of medicine, 58(1):2608531.

BACKGROUND: Plasma cell-free DNA metagenomic next-generation sequencing (mNGS) is a non-invasive comprehensive method for the etiological diagnosis of various infectious diseases. However, research on the early diagnosis and real-world clinical impact of plasma mNGS in patients with suspected infection are still limited.

MATERIALS AND METHODS: This study retrospectively included 140 patients with suspected infections who underwent early plasma mNGS and conventional culture testing. Referring to the clinical diagnosis of infectious diseases, the diagnostic performance of plasma mNGS and culture tests was compared, and the application scenarios and clinical effects of plasma mNGS were evaluated.

RESULTS: The positive rate of plasma mNGS was significantly higher than that of culture methods (55.71% vs 25.10%, p < 0.001) and blood cultures (55.71% vs 12.86%, p < 0.001). Regarding clinical diagnosis, the sensitivity of plasma mNGS was significantly higher than that of culture (58.27% vs 37.80%, p = 0.002). The combination of mNGS and culture achieved a higher detection sensitivity (69.29%), especially in patients with multi-site co-infections (73.68%) and blood infections (73.17%). Plasma mNGS demonstrated higher sensitivity in patients with procalcitonin (PCT) index > 5 ng/ml or human neutrophil lipocalin (HNL) index > 200 ng/ml. In terms of treatment, a total of 69 patients (54.33%) benefited from plasma mNGS.

CONCLUSION: This study highlights the significant improvement in pathogen detection performance by combining conventional culture with plasma mNGS detection, especially in patients with multi-site co-infections and blood infections. Early use of plasma mNGS as an adjunct to culture can better guide clinicians to initiate appropriate anti-infective therapy.

RevDate: 2026-01-02

Rao C, Su X, Xia Y, et al (2026)

From Physical Architecture to Ecosystem Function: Tillage Exerts Indirect Control on Nitrogen Transformation by Restructuring Preferential Flow Paths.

Environmental science & technology [Epub ahead of print].

How long-term tillage drives nitrogen (N) function succession by degrading vadose zone preferential flow paths remains unclear. This study investigated croplands across multiple tillage chronosequences by integrating dye tracing, [15]N isotope tracing, and metagenomic techniques. The study shows that tillage-induced degradation of preferential flow structures homogenizes the vadose zone and reshapes N-cycling communities, shifting denitrifiers from nirK- to nirS-dominated assemblages. Consistent with this community turnover, gross nitrification rates in shallow preferential paths are 30.8% higher than in the adjacent matrix in short-term tillage, whereas in deep layers matrix denitrification and DNRA rates exceed those in preferential paths by 37.9 and 76.1%, and anammox appears only in the matrix at medium- and long-term tillage, indicating a concentration of reductive N processes in the matrix. Path analysis further shows that tillage-driven alterations in hydraulic properties (path coefficient = -0.91, p < 0.01), together with these community and process-rate shifts, redirect the dominant N pathway from hotspot-driven nitrification in preferential channels to matrix-driven reductive N loss, converting a nitrate-leaching-prone system into one with higher gaseous emission potential. This establishes a mechanistic link linking soil hydraulic degradation to N functional succession and supports targeted, stage-dependent farmland nitrogen management.

RevDate: 2026-01-02

Balbino KP, Kravchychyn ACP, Cândido FG, et al (2026)

Precision nutrition in weight loss and neuroendocrine control of people with obesity: The study protocol of a factorial randomised controlled trial (GenON Programme).

Diabetes, obesity & metabolism [Epub ahead of print].

AIMS: Precision nutrition, guided by genetic testing, has emerged as a promising approach for managing obesity. However, robust clinical trials testing its effectiveness in real-world dietary interventions remain scarce. The GenOn Programme aims to evaluate whether tailoring nutritional care based on genetic risk for obesity enhances weight loss, satiety control, and metabolic outcomes in adults with overweight and obesity.

MATERIALS AND METHODS: The GenOn Programme is an 18-week, 2 × 2 factorial, randomised controlled trial including 120 adults classified as high or low genetic risk for obesity (variants: FTO rs9939609 and rs1121980; MC4R rs1782313; LEP rs7799039). Participants are randomised to standard or satiety-focused dietary counselling. Both groups receive five calorie-restricted (-500 kcal/day), nutritionally balanced meal plans. The satiety arm additionally includes a high-protein breakfast, daily granola supplementation and behavioural strategies. Assessments at baseline, Week 12, and Week 18 include weight loss, body composition, satiety perception, quality of life, cardiometabolic markers, (epi)genetics, inflammation, neuroendocrine regulation, and metagenomics.

RESULTS AND CONCLUSIONS: The GenOn Programme is a randomised controlled trial to test a precision nutrition approach for overweight and obesity, integrating genetics, dietary strategies, and behavioural support. Findings may inform dietitians and healthcare systems on the clinical value of genetically guided nutritional care to improve outcomes in the treatment of overweight and obesity.

RevDate: 2026-01-04
CmpDate: 2026-01-02

Zakharzhevskaya NB, Erdes SI, Belousova EA, et al (2025)

Combined metabolomic and metagenomic analysis reveals inflammatory bowel disease diversity in pediatric and adult patients.

World journal of gastroenterology, 31(48):112653.

BACKGROUND: The gut microbiota displays pronounced compositional differences between pediatric and adult populations, both under normal conditions and during the development of inflammatory bowel disease (IBD). These structural variations are accompanied by substantial changes in microbial metabolic activity.

AIM: To identify novel early diagnostic biomarkers of IBD, we performed an integrated multi-omics analysis that included assessing microbial community structure and profiling microbial metabolic activity in pediatric and adult cohorts with ulcerative colitis (UC) and Crohn's disease (CD).

METHODS: The study cohort consisted of two distinct age groups with confirmed IBD diagnoses: Adult patients (aged 45 to 70) and pediatric patients (aged 5 to 15), each diagnosed with either CD or UC. 16S rRNA gene sequencing was performed using the MinION™ Mk1B platform, with data acquisition carried out via MinKNOW software version 22.12.7 (Oxford Nanopore Technologies). Stool samples were analyzed using a Shimadzu QP2010 Ultra GC/MS system equipped with a Shimadzu HS-20 headspace extractor.

RESULTS: Comparative analysis revealed significant age-related differences in the abundance of Bacteroidota, with pediatric IBD patients showing a lower prevalence compared to adults. Microbial profiling identified Streptococcus salivarius and Escherichia coli as potential biomarkers for assessing IBD risk in children. Furthermore, metagenomic analysis uncovered five microbial signatures with diagnostic potential for CD: Ralstonia insidiosa, Stenotrophomonas maltophilia, Erysipelatoclostridium ramosum, Blautia spp., and Coprococcus comes. Using comprehensive metabolomic profiling, we developed and validated novel risk prediction algorithms for pediatric IBD. The CD risk stratification model identifies high-risk patients based on two key biomarkers: An elevated IBD risk coefficient score and reduced levels of 1H-indole-3-methyl. The UC risk prediction model incorporates three metabolic biomarkers indicative of increased disease risk: An elevated risk coefficient score, increased acetate levels, decreased pentanoic acid, and altered excretion of p-cresol (4-methylphenol).

CONCLUSION: Functional metabolomics holds transformative potential for IBD diagnostics across all age groups, with especially significant implications for pediatric patients. The distinct metabolic and metagenetic profiles observed in the pediatric cohort may represent primary alterations in IBD, providing valuable insights for exploring novel mechanisms underlying disease pathogenesis.

RevDate: 2026-01-04
CmpDate: 2026-01-02

Bustos-Caparros E, Viver T, Gago JF, et al (2025)

Uneven sequencing (coverage) depth can bias microbial intraspecies diversity estimates and how to account for it.

ISME communications, 5(1):ycaf228.

An unbiased and accurate estimation of intraspecies diversity, i.e. the extent of genetic diversity within species (or microdiversity), is crucial for clinical and environmental microbiome studies. Although it is well appreciated that sequencing depth (or coverage depth) below 10X can provide biased estimates of microdiversity, typically underestimating diversity due to the random sampling of alleles, there is a widely accepted convention that microdiversity estimates tend to be relatively stable at sequencing depth exceeding 10X. Therefore, discarding species with <10X or rarefying to 10-20X sequencing depth are generally used to compare microdiversity among taxa and samples. Our findings showed that these biases may persist even at depth levels above 50-200X for all popular sequencing platforms, including Illumina, PacBio, and Oxford Nanopore. The biases mostly, but not always, represent an underestimation of diversity and were attributable to the incomplete recovery of Single Nucleotide Variants (SNVs) at lower sequencing depth levels. To address this issue, we recommend using rarefaction-based approaches to standardize data at least 50X, and ideally at 200X sequencing depth, which reduces differences between observed and expected microdiversity values to <0.5%. Furthermore, the Average Nucleotide Identity of reads (ANIr) metric is significantly less sensitive to sequencing depth variability than nucleotide diversity (π), making it a robust alternative for estimating microdiversity at sequencing depth close or exceeding 10X, without a need to rarefying data. Therefore, the sequencing depth thresholds proposed herein provide a more standardized framework for direct comparisons of microdiversity across samples and studies.

RevDate: 2026-01-04
CmpDate: 2026-01-02

Ren G, Gubry-Rangin C, Wang W, et al (2025)

Purifying selection and low recombination facilitated sequential colonization of benthic and pelagic coastal ocean by ammonia-oxidizing archaea.

ISME communications, 5(1):ycaf234.

The evolutionary adaptation of archaea to ecologically diverse habitats remains poorly understood. Ammonia-oxidizing archaea (AOA) exhibit significant diversification across various environmental conditions; however, their ecological dynamics, diversification, and associated evolutionary processes are still largely unexplored in coastal environments, which contain extensive ecosystem heterogeneity. Combining newly assembled metagenomic data from Chinese marginal seas (2059 km coverage) with global datasets (spanning over 16 000 km), these knowledge gaps were explored across a continental-scale latitudinal gradient. It revealed that coastal AOA genomic diversity is latitude-dependent, with predicted optimum growth temperatures and substrate metabolic pathways explaining the geographical distribution. The two dominant genus-level clades exhibited significantly distinct benthic-pelagic niches, associated with specific genes involved in nutrient uptake and stress resistance. Phylogenomic reconstructions suggest that AOA initially colonized the coastal ocean sediments around 718 million years ago (Mya), and subsequent purifying selection and low recombination facilitated the AOA niche expansion into marine coastal environments. By revealing the evolutionary trajectories of Nitrososphaeria and their differential colonization patterns, our findings offer a novel perspective on the mechanisms of AOA diversification in the coastal ocean. This work advances our understanding of microbial diversification and niche differentiation of AOA in coastal ecosystems as well as the evolutionary forces shaping their global biogeography.

RevDate: 2026-01-04
CmpDate: 2026-01-02

Ma M, Wang M, Liang Y, et al (2025)

Microbial communities and metabolic functions vary with spatial heterogeneity in cold-seep carbonates.

ISME communications, 5(1):ycaf232.

Cold-seep carbonates, formed through interactions among methane, fluid chemistry, and microbial chemosynthesis, represent biodiversity hotspots in the deep sea. Spatial heterogeneity within these carbonates arises from variations in methane flux, yet the microbial contributions to this heterogeneity remain underexplored. Here we combined remotely operated vehicle-based in situ measurements, X-ray imaging, metagenomics, qPCR, and [13]C-CH4 stable-isotope labeling to investigate microbial communities across carbonate habitats in the South China Sea. We found that methane flux linked to carbonate structural properties, shapes microbial metabolic interactions, notably anaerobic methane oxidation coupled with aragonite and FeS precipitation. These processes may contribute to self-sealing carbonate features, potentially reducing methane permeability and influencing geochemical gradients and geomorphology. Our findings reveal that microbiomes and their feedbacks play a significant role in shaping habitat-scale spatial heterogeneity of cold-seep carbonates, improving our understanding of methane cycling and carbonate ecosystem dynamics.

RevDate: 2026-01-04
CmpDate: 2026-01-02

Robayo-Cuevas C, Junca H, Uribe S, et al (2025)

Detection of endosymbiotic, environmental, and potential bacterial pathogens in diverse mosquito taxa from Colombian tropical forests using RNAseq.

Frontiers in microbiology, 16:1727830.

INTRODUCTION: Mosquitoes of the subfamily Culicinae transmit pathogens of major medical and veterinary importance, particularly in tropical regions where urbanization and ecological change promote arbovirus circulation. In Colombia, rural Culicinae species are diverse and harbor microbiomes that may influence vector competence, yet their bacterial communities remain poorly characterized.

METHODS: We characterized the bacterial microbiota of multiple Culicinae species and morphotypes collected from two rural localities in Antioquia, Colombia, using an integrated metagenomic approach. Ribosomal 16S rRNA sequences were extracted from total RNA-seq datasets to infer bacterial community composition and assess α- and β-diversity. Diversity metrics (Chao1 and Shannon indices), Discriminant Analysis of Principal Components (DAPC), and Bray-Curtis ordination were used to evaluate community structure. In parallel, de novo assembled contigs were taxonomically annotated against the NCBI NR bacterial database to obtain complementary taxonomic and functional insights.

RESULTS: Culex morphotypes exhibited the highest richness and evenness, whereas Aedes and Trichoprosopon showed lower diversity. Ordination and DAPC analyses revealed partial clustering by species and tribe. Both the 16S and assembly-based analyses showed complex bacterial assemblages dominated by Wolbachia (up to 60% of reads in several Aedes and Culex morphotypes), followed by environmental genera such as Pseudomonas and Acinetobacter (10-20%). Lower-abundance taxa of medical and veterinary importance-including Salmonella, Borrelia, and Clostridium (<5%)-were also detected. Bacterial community structure differed among mosquito species; Aedes albopictus was enriched in lactic acid bacteria, while Culex morphotypes exhibited broader environmental and endosymbiotic profiles.

DISCUSSION: This study provides the first comprehensive metagenomic description of bacterial communities associated with rural Culicinae mosquitoes in Colombia. The predominance of symbionts such as Wolbachia and Spiroplasma, coupled with distinct bacterial signatures among host species, highlights the ecological complexity of these microbiomes and their potential relevance for microbiome-based strategies in sustainable arboviral disease management.

RevDate: 2026-01-04
CmpDate: 2026-01-02

Fu J, Bu G, Aimaier S, et al (2025)

Sex-specific association between gut Faecalibacterium prausnitzii and hypertension in male individuals.

Frontiers in microbiology, 16:1683587.

OBJECTIVE: While gut microbiota (GM) dysbiosis has been implicated in hypertension, the sexassociated microbial signatures and their underlying mechanisms remain poorly understood, particularly in populations living in unique geographical and climatic conditions.

DESIGN: Through an integrated approach combining 16S rRNA sequencing, shotgun metagenomics, and serum metabolomics, we systematically investigated the sex-associated characteristics of the gut microbiota in hypertension among a cohort of 200 participants from Xinjiang.

METHODS: An initial cohort analysis identified Faecalibacterium as a male-associated biomarker for hypertension. Subsequent species-level characterization revealed that Faecalibacterium prausnitzii (F. prausnitzii) showed significant negative correlations with systolic blood pressure (SBP). This male-specific association was consistently observed across both 16S rRNA sequencing and shotgun metagenomic datasets. Then, our integrated analysis suggested a potential pathway through which F. prausnitzii may be linked to systolic blood pressure in male individuals, with N-phenylacetylglutamine (PAGln) identified as a potential mediating metabolite.

CONCLUSION: Our study establishes a microbe-metabolite-clinical trait axis in the pathophysiology of sex-associated hypertension and significantly advances our understanding of sex-driven host-microbe interactions.

RevDate: 2026-01-04
CmpDate: 2026-01-02

Ghosh N, K Sinha (2025)

Guardians within: Cross-talk between the gut microbiome and host immune system.

World journal of gastrointestinal pathophysiology, 16(4):111245.

The gut microbiome, a complex ecosystem of trillions of microorganisms, plays a crucial role in immune system regulation and overall health. This review explores the intricate cross-talk between the gut microbiota and the host immune system, emphasizing how microbial communities shape immune cell differentiation, modulate inflammatory responses, and contribute to immune homeostasis. Key interactions between innate and adaptive immune cells - including macrophages, dendritic cells, natural killer cells, innate Lymphoid cells, T cells, and B cells - and gut microbiota-derived metabolites such as short-chain fatty acids are discussed. The role of commensal bacteria in neonatal immune system development, mucosal barrier integrity, and systemic immunity is highlighted, along with implications for autoimmune diseases, inflammatory conditions, and cancer immunotherapy. Recent advances in metagenomics, metabolomics, and single-cell sequencing have provided deeper insights into the microbiota-immune axis, opening new avenues for microbiome-based therapeutic strategies. Understanding these interactions paves the way for novel interventions targeting immune-mediated diseases and optimizing health through microbiome modulation.

RevDate: 2026-01-04
CmpDate: 2026-01-02

Komatsu H (2025)

Comparison of three pediatric studies investigating acute hepatitis of unknown etiology.

World journal of virology, 14(4):110435.

Between 2021 and 2023, approximately 400 pediatric cases of acute hepatitis of unknown etiology (AHUE) were reported in European countries and the United States. In 2023, three pediatric studies revealed that adeno-associated virus serotype 2 (AAV-2) infection was associated with AHUE. This article presents a summary and comparison of the results of metagenomic sequencing, viral whole-genome sequencing, virus-specific real-time polymerase chain reaction (PCR) and histological analysis of the liver, all of which were among the common investigative methods used in the three pediatric studies. All three pediatric studies revealed 80% or greater rates of positivity for AAV-2 in cases of AHUE according to metagenomic sequencing. Moreover, on the basis of PCR results, two studies revealed high AAV-2 positivity rates (96.4% and 81.2%) among cases of AHUE. These findings suggest that AAV-2 is a pathogen in AHUE. Coinfection with AAV-2 and one or more helper viruses (human adenovirus, human herpesvirus 6B, Epstein-Barr virus, etc.), high viral loads of AAV-2 in blood, anti-AAV-2 IgM and human leukocyte antigen typing could be candidate diagnostic criteria for AHUE. AAV-2 infection should be incorporated into clinical guidelines for the management of acute liver failure. Cidofovir can be administered if coinfection with AAV-2 and HAdV is detected.

RevDate: 2026-01-01
CmpDate: 2026-01-02

Halford C, Moragues-Solanas L, Weller SA, et al (2026)

Whole Genome Amplification of Microbial DNA from Host-Depleted Clinical Samples.

Methods in molecular biology (Clifton, N.J.), 3003:175-186.

Clinical metagenomics (CMg) involves the untargeted sequencing of the genetic content of samples collected from patients and is a highly promising method for the diagnosis of infectious disease. Depending on the sample type, CMg can be reliant on the removal of the host genetic material from the sample to support detection of microbial pathogens, and this selective process (or an otherwise low abundance of microbial cells in the sample) may result in concentrations of DNA too low for productive sequencing. Whole genome amplification (WGA), the nonselective amplification of the total DNA of a sample, can be applied to significantly increase the concentration of DNA and enable CMg sequencing. This chapter describes the methods for the amplification of microbial DNA extracted from host-depleted wound swab samples using the GenomiPhi[™] V3 Ready-To-Go[™] (Cytiva) DNA WGA kit and host-depleted whole blood samples using the REPLI-g[®] Single-Cell WGA kit (Qiagen). This is followed by the de-branching and bead-based clean-up of the amplified DNA, resulting in highly concentrated DNA ready for CMg DNA sequencing.

RevDate: 2026-01-01
CmpDate: 2026-01-02

Cruz-Flores R, Cáceres-Martínez J, AK Dhar (2026)

Laser Microdissection and Near Single-Cell Whole Genome Amplification.

Methods in molecular biology (Clifton, N.J.), 3003:165-173.

Laser microdissection (LMD) and whole genome amplification (WGA) are powerful techniques that integrate molecular and histological approaches to enable the precise selection of a minimal number of virus-infected cells-down to near single-cell resolution-and the subsequent generation of whole viral genomes with minimal host DNA interference. This chapter presents a detailed protocol for LMD and near single-cell WGA, specifically optimized for the recovery and sequencing of viral genomes from formalin-fixed paraffin-embedded (FFPE) tissues. The method allows for the targeted isolation of infected cells, thereby reducing host genomic background and enhancing the detection of pathogen-specific signals for downstream next-generation sequencing (NGS). The protocol includes steps for tissue section preparation, cell isolation via LMD, DNA extraction using the PicoPure DNA Extraction Kit, and unbiased genome amplification using the SeqPlex DNA Amplification Kit-ensuring high-quality nucleic acid recovery suitable for NGS workflows.

RevDate: 2026-01-04

Liu J, Wu J, Zhang W, et al (2025)

Disseminated Talaromyces marneffei infection mimicking tuberculosis in an HIV-negative adult with anti-IFN-γ autoantibodies: a case report.

BMC infectious diseases, 26(1):1.

BACKGROUND: Talaromyces marneffei (TM) is an opportunistic fungus causing life-threatening disseminated infections in immunocompromised individuals. While classically associated with HIV, TM is increasingly reported in HIV-negative patients, often misdiagnosed due to nonspecific manifestations.

CASE PRESENTATION: A 38-year-old HIV-negative Chinese woman with a history of thyroid cancer presented with a three-month history of fever, cough, weight loss, and subcutaneous masses. Imaging revealed diffuse pulmonary nodules and osteolytic bone destruction. She was initially misdiagnosed with tuberculosis and received anti-TB therapy without improvement. Metagenomic next-generation sequencing (mNGS) of bronchoalveolar lavage fluid identified TM, which was later confirmed by fungal culture. Anti–interferon-gamma autoantibodies (anti–IFN-γ auto-Abs) were markedly elevated (111.72 ng/mL). She was treated with liposomal amphotericin B(L-AmB) followed by itraconazole, achieving temporary remission. One month post-discharge, TM recurred with new Sweet syndrome–like skin lesions. Immunomodulatory therapy combined with antifungals led to disease control.

CONCLUSION: This case highlights three key clinical insights: (1) TM can closely mimic tuberculosis, especially in HIV-negative individuals; (2) mNGS is a valuable diagnostic tool when conventional tests fail; and (3) Anti–IFN-γ auto-Abs may underlie recurrent or refractory TM infections. Clinicians in endemic regions should consider TM and evaluate immune status early in atypical or treatment-resistant cases.

RevDate: 2026-01-04

Meldrum OW, Tiew PY, Xu H, et al (2025)

Integrated multi-omics profiling for risk stratification in Asians with COPD.

Respiratory research, 27(1):2.

BACKGROUND: Comorbidity-based risk stratification in Chronic Obstructive Pulmonary Disease (COPD) incompletely captures inherent biological heterogeneity, particularly in Asian populations that demonstrate high-risk clinical phenotypes including prior pulmonary tuberculosis. We investigated whether integrated sputum multi-omics could improve risk stratification in an Asian COPD cohort.

METHODS: We conducted a prospective, multicenter assessment of N = 56 Asians with established COPD, classified as high- (N = 25; cardiovascular or ex-tuberculosis) or low-risk (N = 31; diabetic or low-comorbidity) based on established co-morbidity phenotyping. Sputum was subjected to mucus analysis (MUC5AC, MUC5B, mucus solids, rheology), metabo-lipidomics (LC-MS/MS) and microbiome assessment (shotgun metagenomics). Multivariate statistics was employed to integrate datasets.

RESULTS: High-risk Asian COPD demonstrates abnormal mucus biochemistry characterized by elevated MUC5AC; extensive metabo-lipidomic alterations characterized by dysregulated tryptophan-kynurenine metabolism and lipid remodeling with enrichment of lysophosphatidylcholines and triacylglycerols. Microbial networks are disrupted in high-risk patients, typified by antagonistic interactions driven by K. pneumoniae, H. influenzae and Neisseria spp. Integrative assessment combining all datasets partitioned the cohort into two clusters: SNF 1 (N = 34) and SNF 2 (N = 22), the former representing an unfavorable group characterized by exacerbations, hospitalizations, mucus dysfunction, microbial pathogens and dysregulated metabo-lipidomic pathways. Remarkably, 42% (N = 13 of 31) of the originally classified low risk COPD exhibited the unfavorable SNF 1 endotype, distinguished by more severe exacerbations (hospitalizations), K. pneumoniae and elevated hypoxanthine, creatine, spermine and phosphatidylcholines.

CONCLUSION: Integrative multi-omics profiling of Asian COPD significantly refines clinical risk stratification identifying a novel ‘high-risk’ biological endotype. Substantial proportions of clinically low-risk COPD exhibit this endotype, suggesting that clinical and co-morbidity profiling in Asians with COPD should be supplemented by molecular assessment to ensure accurate risk stratification.

SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12931-025-03440-1.

RevDate: 2026-01-01
CmpDate: 2026-01-02

Lozano-Escobar ED, Mateo-Cáceres V, Mayoral-Campos C, et al (2026)

Assessing Amplification Quality and Bias in MDA Methods Through Comparative Analysis of Short-Read Sequencing.

Methods in molecular biology (Clifton, N.J.), 3003:131-148.

Although high-throughput sequencing methods have greatly improved over the last few years, direct sequencing remains unfeasible when DNA quantity or quality is limited. In such instances, various whole genome or metagenome amplification (WGA) techniques can generate sufficient DNA for multiple analyses, albeit with some amplification bias. Competent WGA analysis is typically evaluated by sequence coverage, assessed through two key parameters: depth, referring to the number of reads containing each nucleotide, and breadth, indicating the proportion of nucleotides in the consensus sequence relative to the original sequence length at the obtained depth. Adequate coverage is essential for detailed genomic analysis and the detection of population variants, copy number variations (CNVs), and structural variants (SVs). This chapter outlines a pipeline for analyzing Illumina sequencing data of amplified samples compared to non-amplified samples to assess the performance of various WGA methods, starting from raw sequences.

RevDate: 2026-01-01
CmpDate: 2026-01-01

Wang Y, He L, Hu X, et al (2026)

Metagenomic and culture-based genomics reveal virulence and resistance risks in Manila clam microbiomes.

Food microbiology, 136:105001.

Bivalves are important aquaculture products whose safety is shaped by their microbiomes. Here, we present the first comprehensive characterization of Manila clam (Ruditapes philippinarum) microbiomes using both shotgun metagenomics (6 clams) and culture-based genomics (169 isolates, 40 draft genomes), integrating community, functional, and antimicrobial resistance profiling. Communities were dominated by Proteobacteria (99.3-99.9 %), with Pseudoalteromonas and Vibrio collectively accounting for 74.9-99.7 % and showing strong inverse correlations, defining Pseudoalteromonas-dominated, Vibrio-dominated, and mixed states. Species richness ranged from 22 to 180 per sample. Recognized human pathogens occurred at low abundance (<0.3 %), including Vibrio parahaemolyticus, Vibrio alginolyticus, and Photobacterium damselae, while opportunistic vibrios expanded in some clams (e.g., Vibrio cyclitrophicus 57.9 %). We reconstructed 34 high-quality MAGs, seven resolved to species (Pseudoalteromonas tetraodonis, V. cyclitrophicus, Shewanella aquimarina), alongside unclassified lineages. Metagenomes encoded 14 virulence-factor categories with 2281 subtypes, and isolate genomes added 93 further subtypes, including high-virulence loci in Escherichia coli and type III secretion genes in V. parahaemolyticus. Resistomes spanned 18 antibiotic classes with 511 subtypes; isolates contributed 22 additional antibiotic resistance genes(ARGs), including extended-spectrum β-lactamases (blaCTX-M-102) and blaNDM-1. Four carbapenemase-producing isolates (three Shewanella algae, one V. parahaemolyticus) carried blaNDM-1 on IncC plasmids, with the V. parahaemolyticus plasmid transferable to E. coli. Two P. tetraodonis MAGs encoded RiPP-like and terpene biosynthetic clusters plus phage-defense systems, consistent with Vibrio suppression. These findings demonstrate that clam microbiomes fluctuate between protective (Pseudoalteromonas) and pathogenic (Vibrio-Shewanella) states, providing a first integrated framework for assessing microbial risk, antimicrobial resistance, and food safety interventions in bivalve aquaculture.

RevDate: 2026-01-03

Zhou Z, Xu M, Gao C, et al (2025)

Metagenomic insights into N2O emission pathways shaped by arsenic and hydrological regimes in mangrove soils: An incubation study.

Environmental research, 292:123658 pii:S0013-9351(25)02911-1 [Epub ahead of print].

Mangrove wetlands are characterized by an abundant and complex nitrogen cycling (N-cycling) process during periodic tidal flooding, and increasing arsenic (As) concentration profoundly influences microbial ecosystems and nitrogen (N) transformation. However, the combined impacts of As and hydrology on nitrous oxide (N2O) emissions remain unclear. Here, a soil microcosm experiment was conducted under two hydrological regimes (non-flooded and flooded) and with three As addition levels (50, 100, and 200 mg kg[-1]) to examine their effects on N2O fluxes and N transformation. The results demonstrated that As addition significantly enhanced N2O uptake, reducing fluxes by 1.29-26.47 % and 3.18-10.04 % relative to the control (CK) under non-flooded and flooded conditions, respectively. Notably, the N2O uptake flux under flooded conditions was 3.01 times that of non-flooded conditions on average. Furthermore, influencing mechanisms on N2O emission differ significantly between hydrological regimes. In non-flooded treatments, As primarily decreased NO3[-]-N availability and increased NH4[+]-N retention via upregulating nirBD and nrfAH genes to enhance the DNRA pathway, which reduced the production of N2O. Meanwhile, As promoted N2O reduction mainly through the upregulation of the nosZ gene, resulting in more N2O uptake. However, As predominantly existed as As(III) in flooded treatments, which stimulated the expression of As-resistance genes. This response helped alleviate As toxicity on microorganisms. Additionally, the enhanced decomposition of SOC served as the major energy source for microorganisms, maintaining and even increasing the abundance of partial N-cycling functional genes. Meanwhile, under nitrate-limited conditions, one possible explanation for the observed N2O uptake is that its reduction was stimulated because N2O could serve as an alternative terminal electron acceptor. The altered C and N availability under As contamination also shifted the microbial nitrogen transformation pathways toward processes that produce less N2O. These findings provided valuable insights about N-cycling and adaptations of N functional microorganisms in heavy metal-stressed mangrove wetland ecosystems.

RevDate: 2026-01-01

Wang W, Zhang S, Wang Y, et al (2025)

Metagenomic and cytotoxicity insights into the migration behavior and pathogenic potential of multi-medium microorganisms in a wastewater treatment plant.

Water research, 292:125285 pii:S0043-1354(25)02186-4 [Epub ahead of print].

As important interphases between the human society and natural water environments, wastewater treatment plants (WWTPs) accumulate a variety of human activity-related microorganisms. The characteristics of potential pathogenic microorganisms associated with WWTPs have gradually become a research hotspot. In this study, the distribution characteristics and migration patterns of potential pathogenic genera in different processes, media and seasons were investigated via the metagenomic analysis of samples regularly collected at a typical WWTP in North China. The results obtained 112 pathogenic bacteria and 33 pathogenic fungi in the wastewater, sludge, and bioaerosol samples. Resistance mechanisms were dominated by antibiotic efflux with proportion of 62.63-63.53%. Functional genes encoding offensive virulence factors (VFs) including adherence, secretion system, toxin, invasion, and actin-based motility were the most common category in all the WWTP samples. Network analysis revealed the presence of core antibiotic resistance genes (including mtrA, bcrA, oleC, MexB, PmrE) and core VFs (including Type IV pili (VF0082), HIS-I (VF0334), LOS (CFV494), and Alginate (VF0091)) on multiple microbes, which increased the survival rate of microorganisms even under adverse conditions and enhanced the invasion potential to cause diseases. Additionally, cell exposure experiments confirmed the ability of Pseudomonas aeruginosa to induce inflammatory responses in Beas-2B cells. Based on these findings, which offer the insight of a comprehensive understanding of the potential pathogenicity of microorganisms in WWTPs, it is recommended to improve regulation of effluents from WWTPs a nd the implementation of measures to reduce the risk posed by airborne pathogenic microorganisms.

RevDate: 2026-01-01

Xing W, Gai X, Cheng X, et al (2025)

Rhizosphere microbiome drives Betula luminifera adaptation to antimony mining sites through functional traits and transcriptional reprogramming.

Journal of hazardous materials, 501:140972 pii:S0304-3894(25)03893-2 [Epub ahead of print].

Rhizosphere microbiome are pivotal for plant adaptation to extreme environments. However, the regulatory mechanisms underlying their control of the ecological adaptation of native woody plants in mining areas remain unclear. Here, we integrated metagenomic and transcriptomic analyses to elucidate how the rhizosphere microbiome facilitates Betula luminifera adaptation to antimony (Sb) mining sites. Under sterile conditions, B. luminifera from mining sites prioritized shoot growth, whereas control-origin seedlings favored root development. Microbial inoculation mitigated this growth dichotomy, balancing above- and belowground biomass allocation. Notably, B. luminifera from control sites upregulated antioxidant biosynthesis genes (α- and β-tocopherol pathways), while B. luminifera from mining sites enhanced lignin synthesis under Sb stress. After inoculation with rhizosphere microbiome from the mining-site, genes related to Sb/As resistance (ACR3, arsB/C) and soil nutrient cycle (narG, phnM) were significantly enriched in the rhizosphere of B. luminifera, which were contributed by Proteobacteria and Actinobacteria. Transcriptional profiling revealed that microbial inoculation triggered systemic upregulation of phytohormone-related genes (auxin, cytokinin, abscisic acid), enhancing stress resilience and growth. These findings unveil a synergistic plant-microbe adaptation mechanism in Sb polluted soils in mining sites, highlighting microbial-mediated trait trade-offs and transcriptional plasticity as drivers of ecological success in extreme environments.

RevDate: 2026-01-01

Zhang H, Zhang S, Li X, et al (2025)

Bupleurum polysaccharide improves CUMS-induced depressive behavior in rats by regulating the "microbiota-gut-brain Axis": a mechanism study based on metabolomics and metagenomics.

Journal of chromatography. B, Analytical technologies in the biomedical and life sciences, 1270:124905 pii:S1570-0232(25)00459-3 [Epub ahead of print].

This study aimed to comprehensively investigate the antidepressant mechanisms of Bupleurum polysaccharide (BP) through the microbiota-gut-brain axis, employing an integrated multi-omics approach. Using a chronic unpredictable mild stress (CUMS) rat model of depression, we evaluated BP's effects on depressive-like behaviors and analyzed its regulatory mechanisms on metabolites and gut microbiota through combined metabolomics and metagenomics. Structural characterization revealed that Bupleurum polysaccharide SPAP-1 is an acidic homogeneous polysaccharide with a molecular weight of approximately 100 kDa, primarily composed of glucose, mannose, rhamnose, and other monosaccharides. Pharmacodynamic assessments demonstrated that BP significantly ameliorated CUMS-induced depressive behaviors, including weight loss, reduced food intake, anhedonia, and behavioral despair (P < 0.05). Metabolomic analysis identified 19 differential metabolites, with BP reversing 11 of them, primarily involved in phenylalanine and tryptophan metabolism pathways. Western blot analysis confirmed BP's regulatory effects on key enzymes Got1 and Lta4h. Metagenomic results showed that BP remarkably reshaped gut microbiota structure, restored microbial diversity, optimized the Firmicutes/Bacteroidetes ratio, enriched beneficial genera (Agathobacter, Phocaeicola), and inhibited pathogenic genera (Ruminococcus). Crucially, integrated multi-omics analysis revealed significant microbiota-metabolite correlations, demonstrating that BP-promoted beneficial bacteria positively correlated with neurotransmitter precursors, while BP-inhibited pathogenic bacteria associated with pro-inflammatory mediators. Mediation analysis further established the "microbiota → metabolite → behavior" causal chain, with Ruminococcus → LTB4 → despair behavior accounting for 42.3 % of the mediation effect. In conclusion, Bupleurum polysaccharide ameliorates depressive-like behaviors through multi-target regulation of the metabolite-microbiota interaction network, highlighting its potential as an antidepressant agent or functional food and providing a novel research paradigm for understanding the multi-target characteristics of traditional Chinese medicine polysaccharides.

RevDate: 2026-01-01
CmpDate: 2026-01-01

Vallejos G, Kim C, Holroyd KB, et al (2026)

Evaluating the Clinical Impact of Metagenomic Next-Generation Sequencing in CNS Infections: A Diagnostic Pathway and Resource Utilization Modeling Study.

Open forum infectious diseases, 13(1):ofaf743.

BACKGROUND: Diagnosing meningitis and encephalitis remains challenging due to nonspecific clinical presentations and the limitations of traditional microbiological methods. Metagenomic next-generation sequencing (mNGS) offers a broad approach to detect pathogens, but its real-world impact on clinical decision-making remains undefined.

METHODS: We used a cohort of patients with confirmed central nervous system infections and autoimmune encephalitis (AE) who underwent traditional microbiological cerebrospinal fluid testing at Columbia University Irving Medical Center. Using published sensitivity and specificity data for mNGS, we applied Bayes' theorem to calculate different etiology-specific pretest probabilities and model the potential impact in the diagnostic workflows including the number of lumbar punctures (LPs), additional etiologic tests potentially avoided, and time to diagnosis.

RESULTS: The cohort includes 54 patients in the infectious cohort and 29 patients with confirmed autoimmune encephalitis. In a modeled scenario, utilizing an mNGS test, such as Delve Detect, in patients with DNA viral infections (n = 23) could lead to a reduction of up to 88 microbiological tests, 145 days to diagnosis, and 2 LPs in total. For bacterial infections (n = 16), estimated impact included a reduction of 30 microbiological tests, 144 days to diagnosis, and 12 LPs (Table 1). Although fungal, RNA viral and parasitic infections were less common, with adjusted positive predictive values of 92.8%, 89.5%, and 84.6%, respectively. In the autoimmune cohort, a total of 2 LPs, 126 microbiological tests, and 297 days to diagnosis could have been avoided through the use of mNGS.

CONCLUSIONS: Our analysis suggests that an mNGS test, such as Delve Detect, could potentially streamline diagnostic and treatment pathways in meningitis and encephalitis of infectious or autoimmune origin.

RevDate: 2026-01-01
CmpDate: 2026-01-01

Mankiewicz-Boczek J, Font-Nájera A, Gin KY, et al (2025)

Bacterial community diversity and potential eco-physiological roles in toxigenic blooms composed of Microcystis, Aphanizomenon or Planktothrix.

Frontiers in microbiology, 16:1655370.

Cyanobacterial toxicity, cyanotoxins, and their impact on aquatic ecosystems and human health are well documented. In comparison, less is known about bloom-associated bacterial communities. Co-occurring bacteria can influence bloom development, physiology and collapse, and may also provide a niche for pathogenic bacteria. Existing research focuses on the cyanosphere of Microcystis-dominated blooms, despite the increasing prevalence of filamentous genera (Aphanizomenon and Planktothrix). This pilot study aimed to broaden our understanding of the bacterial consortia attached to morphologically distinct cyanobacteria (coccoid and filamentous) dominating phytoplankton communities and to explore their potential roles in amplifying the impacts of cyanobacterial blooms. We investigated four shallow freshwater bodies across three continents and two climate zones: an urban pond in the USA, a dammed reservoir and a natural lake in Poland, and an urban water body in Singapore. Amplicon sequencing (16S rRNA gene) was used to characterize bacterial communities, while shotgun metagenomics identified nitrogen- and phosphorus-cycling genes to infer potential eco-physiological functions. Cyanobacteria dominated bacterioplankton assemblages at all sites (>35.6%), with bloom composition influencing toxigenic profiles. A mixed bloom of Microcystis, Snowella, and Aphanizomenon had the broadest range of cyanotoxin synthetase genes (mcyE, cyrJ, anaF and sxtA). Microcystis blooms correlated with increased Roseomonas, while Planktothrix co-occurred with Flavobacterium - both bacteria likely contribute to nutrient-cycling within blooms and represent potential opportunistic pathogens for aquatic organisms and humans. The Microcystis cyanosphere exhibited the highest number of significant positive correlations with bacteria (19 relations), compared to Planktothrix and Aphanizomenon (11 and 2 relations, respectively). Non-diazotrophic blooms of Microcystis and Planktothrix showed greater abundances of nitrogen - (ureB, glnA, narB, and narHZ) and phosphorus-cycling genes (phoBHPR and ppk1), indicating a strong dependence on associated bacteria for nutrient acquisition compared to diazotrophic Aphanizomenon. These findings suggest that Aphanizomenon-dominated blooms may be sustained by simpler microbiomes. Our results provide preliminary evidence of cyanosphere heterogeneity potentially shaped by the dominance or coexistence of three morphologically and eco-physiologically distinct genera of cyanobacteria. A comprehensive knowledge of the taxonomy and functional roles of bloom-associated microbiomes is therefore essential to understand bloom activity, evaluate the environmental threat, and develop effective strategies for prevention and mitigation.

RevDate: 2026-01-01
CmpDate: 2026-01-01

Miao H, Wang Z, Chen S, et al (2025)

Application of machine learning in the discovery of antimicrobial peptides: exploring their potential for ulcerative colitis therapy.

eGastroenterology, 3(4):e100253.

BACKGROUND: Ulcerative colitis (UC) is a chronic, relapsing inflammatory bowel disease with complex aetiology and limited treatment options. Antimicrobial peptides (AMPs), as endogenous immune effectors, have recently emerged as promising therapeutic agents in UC. However, systematic identification and functional evaluation of AMPs remain underexplored. We aimed to discover novel AMPs with potential therapeutic efficacy in UC by leveraging machine learning-based prediction and validating their impact in an experimental colitis model.

METHODS: We established a machine learning-driven pipeline to predict candidate AMPs based on their structural and functional features. Top-ranked peptides were synthesised and subjected to in vitro antibacterial assays and proteolytic stability tests. Their therapeutic potential was evaluated using a dextran sulfate sodium (DSS)-induced colitis mouse model, assessing clinical indicators, histopathology, inflammatory markers and gut microbiota alterations. Metagenomic and metabolomic analyses provided insights into microbial community dynamics and metabolic pathways. To probe the role of gut microbes in AMP-mediated gut homeostasis, we conducted Akkermansia (A.) muciniphila replenishment experiments.

RESULTS: Several AMPs identified by machine learning exhibited potent antimicrobial activity and resistance to proteolytic degradation. In vivo, AMP administration ameliorated DSS-induced colitis symptoms, including body weight loss, Disease Activity Index and histological damage. Treatment also modulated the gut microbiome, increasing the abundance of A. muciniphila and restoring microbial balance. Functional metagenomic profiling revealed enrichment of genes involved in mucosal barrier protection and immunoregulation. These findings were supported by improved inflammatory cytokine profiles and enhanced epithelial integrity.

CONCLUSIONS: Our findings demonstrate that machine learning-guided discovery of AMPs is a viable approach to identify promising therapeutic agents for UC. By integrating multi-omics analyses, we reveal potential microbiota-mediated mechanisms underlying AMP efficacy. These insights provide a strong foundation for advancing AMP-based strategies in UC management.

RevDate: 2026-01-01

Njage PMK, Becsei Á, Marques ARP, et al (2025)

Sociodemographic and Health Factors Are Associated with Antimicrobial Resistance across Eight States in the United States.

Environmental science & technology [Epub ahead of print].

Recent studies suggest that country-level socioeconomic factors may explain antimicrobial resistance (AMR) patterns better than antimicrobial usage (AMU), but it remains unclear whether this holds for sociodemographic and health variation within countries. We used metagenomic analysis of untreated sewage to cross-sectionally characterize the bacterial resistome as a proxy for AMR at 44 wastewater treatment plants across eight USA states between 2019 and 2020. We examined associations between AMR with site-specific sociodemographic and health indicators and AMU. Spatial autocorrelation analyses were used to identify clusters of AMR. Gradient-boosted multivariate regression trees were applied to evaluate individual and joint predictor effects on AMR. Outpatient AMU explained negligible variation in AMR, whereas predictors related to economy, income, preventive health care, access to health care, social welfare, housing, and racial/ethnic composition showed the strongest associations. These relationships were observed across individual resistance classes and their combinations and predicted AMR nonlinearly, with thresholds where AMR shows sharp increases (risk factors) or decreases (protective factors). Significant interannual differences in resistome and bacteriome composition were observed between 2019 and 2020. Although causal inference is limited, the findings suggest that local-level indicators of health, economic conditions, well-being, and development may play an important role in shaping AMR within countries.

RevDate: 2025-12-31

Fedi S, Ghezzi D, Firrincieli A, et al (2025)

Taxonomy and functional profile of microbial communities across the depths of the Alpine Cenote Abyss ice cave.

Scientific reports pii:10.1038/s41598-025-29105-z [Epub ahead of print].

RevDate: 2025-12-31

Wu Y, Wong O, Chen S, et al (2025)

Distinct diet-microbiome associations in autism spectrum disorder.

Nature communications pii:10.1038/s41467-025-67711-7 [Epub ahead of print].

Autism spectrum disorder (ASD) is linked to both altered gut microbiota and unhealthy diets; however, the mechanistic connections remain elusive. In this study, we conducted a systematic analysis of fecal microbiome metagenomic data, paired with granular dietary assessments and phenotypic profiles, across a cohort of 818 children (462 with ASD, 356 without ASD; mean age = 8.4 years; 27.3% female). By integrating dietary indices, nutrient intake, and food additive exposures, we uncovered ASD-specific linkages to the microbiome. Poor dietary quality correlated with aggregated core autistic symptoms, gastrointestinal complications, and atypical eating behaviors. Notably, children with ASD exhibited a more pronounced diet-microbiome interaction network compared to neurotypical peers, suggesting heightened microbial sensitivity to nutritional inputs. Furthermore, synthetic emulsifiers-specifically polysorbate-80 and carrageenan-were associated with disrupted microbial connectivity in ASD, a phenomenon attenuated in neurotypical children. Our findings elucidate the mechanistic links between dietary factors-particularly synthetic food additives-and microbiome dysregulation in ASD, urging a re-evaluation of dietary guidelines for ASD populations and laying the groundwork for personalized nutritional strategies.

RevDate: 2025-12-31

Zhou L, Zhang M, Qiu Y, et al (2025)

'Protector' DNRA bacteria, shielding anammox systems from perfluorooctanoic acid by mitigating nitrite accumulation.

Bioresource technology pii:S0960-8524(25)01865-6 [Epub ahead of print].

The anaerobic ammonium oxidation (anammox) process is integral to nitrogen removal in wastewater treatment, but its effectiveness can be compromised by contaminants such as perfluorooctanoic acid (PFOA). This study revealed the protective mechanism of dissimilatory nitrate reduction to ammonium (DNRA) in protecting anammox bacteria from PFOA-induced toxicity in a lab-scale anaerobic membrane bioreactor (anammox-AnMBR), which operated for over 100 days. The system was exposed to stepwise PFOA increases (0.25, 0.5, and 0.75 mg/L). Nitrogen removal efficiency and extracellular polymeric substance (EPS) production were monitored. Microbial community dynamics were analyzed by metagenomic sequencing. Notably, increasing PFOA concentrations corresponded to stable NO2[-] levels and fluctuating NH4[+], suggesting a biphasic response to PFOA toxicity by the DNRA and anammox communities. Results indicate that DNRA bacteria were more tolerant to PFOA, even at high concentrations, than anammox bacteria. Metagenomic analysis further demonstrated the acute toxicity of high PFOA concentrations to anammox. The abundances of anammox functional genes (hzs, encoding hydrazine synthase; hdh, encoding hydrazine dehydrogenase) showed initial increases followed by declines at elevated PFOA concentrations. Concurrently, the increase in EPS (polysaccharides: 33.3 to 111.1 mg/g VSS; proteins: 3.0 to 247.6 mg/g VSS) indicated defense responses.

RevDate: 2026-01-01

Tang J, Liu Y, Zhang Q, et al (2025)

Multi-omics dissection of yeast-centric fungal-bacterial synergies in food-processing wastewater: insights from four full-scale treatment plants.

Bioresource technology, 443:133911 pii:S0960-8524(25)01878-4 [Epub ahead of print].

Fungal presence and ecological roles in activated sludge at municipal wastewater treatment plants are increasingly recognized, yet their diversity and functional contributions-especially of yeasts-in treating food-processing wastewater remain underexplored. High-throughput ITS and 16S rRNA sequencing and shotgun metagenomics, together with FUNGuild, were used to analyze microbial community structure, functional microorganisms, co-occurrence patterns, interkingdom interactions, functional pathways, and the distributions of degradation enzymes and functional genes for characteristic pollutants among four full-scale food-processing plants (seafood, pastry, orange-canning, and vegetable-oil refining). Community diversity and structural differences shaped by wastewater types, associated with metabolic traits and enzyme-secretion. Saccharomycetes emerged as the dominant fungal class; bacteria displayed more even class-level and genus-level distributions than fungi across plants, combining LEfSe (LDA > 4, p < 0.05) to reveal plant-specific environmental-driven taxa, mainly included members of Saccharomycetales among fungi. Module-based co-occurrence networks indicated symbiotic interactions among yeasts; predominant cooperation of fungal-bacterial interaction network, in which yeasts exhibited the highest degree among fungi; strong correlations between Saccharomycetales and functional genes. Metabolism was the most abundant functional pathway. "Undefined Saprotroph" was the most widespread fungal functional guild. We annotated 86 degradation enzymes and 150 functional genes targeting eight pollutant categories (proteins, lipids, starch, pectin, lignin, cellulose, hemicellulose, chitosan), elucidating plant-specific distributions and enzymatic synergies. These multi-plant comparisons disentangle conserved from plant-specific features of catabolism. Overall, this study elucidates microbial diversity, interactions, and functional potential in food-processing wastewater treatment, reveals yeasts as keystone microbes for pollutant degradation, and provides actionable insights for treatment strategies and process optimization.

RevDate: 2025-12-31

Xin H, Chen S, Li X, et al (2025)

High-level chloramphenicol degradation in mariculture wastewater via cathodic nitro-reduction in a single-chamber bioelectrochemical system.

Water research, 291:125174 pii:S0043-1354(25)02077-9 [Epub ahead of print].

The aim of this study was to investigate the mechanism of high-level chloramphenicol (CAP) degradation in mariculture wastewater using a single chamber bioelectrochemical system (BES). The reactor was assembled with carbon-brush electrodes and operated with sea mud as inoculum. Nearly complete removal of 200 mg/L CAP was achieved within 36 h when 2 g/L glucose was supplied as a co-substrate. With 200 mg/L CAP as the sole carbon source, BES at the close circuit achieved 28 ± 3% higher CAP removal than that at the open circuit within 72 h. CAP removal declined from 100 ± 5% to 45 ± 4% as the initial concentration increased from 200 to 600 mg/L within 36 h. High CAP concentration markedly inhibited sulfate-reducing bacteria (SRB), reducing the relative abundance of Desulfobulbus from 28.7% to < 0.5%, and decreasing sulfate removal from 90 ± 5% to < 56 ± 3% compared with the control. Nitro-reduction of CAP at the cathodic biofilm was determined as the predominant pathway among the three degradation routes in the BES. Metagenomic analysis revealed that 200 mg/L CAP significantly inhibited both multidrug efflux pump genes and key operons involved in dissimilatory sulfate reduction in the cathodic biofilm. Our results could be useful for eliminating high concentrations of antibiotic contaminants from seawater.

RevDate: 2025-12-31

Wang N, Lv K, Guo S, et al (2025)

Functional imbalance between Thauera and anammox governs PD/A pathway stability under contrasting reactor modes.

Water research, 291:125201 pii:S0043-1354(25)02104-9 [Epub ahead of print].

Partial denitrification coupled with anammox (PD/A) is a promising energy-efficient alternative for mainstream nitrogen removal, yet its stability under different reactor modes remains unclear. This study systematically compared sequencing batch (RS) and continuous-flow (RC) PD/A systems using performance monitoring, activity assays, and metagenomic analyses. RC maintained superior long-term stability, achieving >80% nitrogen removal with anammox contributing above 90%, whereas RS remained less stable (∼65% NRE, ∼75% anammox contribution) and relied more on complete denitrification. Activity assays revealed that PD activity in RS was 5.03 times that of anammox, favoring complete denitrification. In contrast, RC maintained balanced activities, with PD activity being 0.89 times that of anammox, supporting cooperative PD/A interactions. Metagenomic analysis further revealed that Thauera-associated Nir/Nor/Nos genes were markedly enriched in RS, indicating a stronger potential for complete denitrification. These findings demonstrate that reactor mode regulates PD/A interactions through distinct stabilization mechanisms, with continuous-flow operation enhancing microbial cooperation and system resilience. This study provides mechanistic insights and practical guidance for the stable implementation of mainstream PD/A processes.

RevDate: 2025-12-31

Gallego-Cartagena E, Morillas H, M Maguregui (2025)

Biodeterioration of built heritage in the context of climate change and atmospheric pollution: Toward transdisciplinary conservation strategies.

The Science of the total environment, 1013:181313 pii:S0048-9697(25)02955-9 [Epub ahead of print].

The built heritage -encompassing monuments, historic buildings and sculptural ensembles- is increasingly threatened by the synergistic impacts of climate change, atmospheric pollution and biological activity. This review critically analyses current understanding of the mechanisms driving the biodeterioration of built heritage, focusing on calcareous materials (e.g., limestone, marble and lime-based mortars), which are both widespread in built heritage and highly susceptible to degradation. We examine how environmental drivers -such as elevated humidity, temperature fluctuations, and pollutant deposition (SOₓ, NOₓ, particulate matter)-trigger complex physicochemical and biochemical reactions that compromise structural stability and aesthetic integrity. The review explores the metabolic strategies of biodeteriative organisms (fungi, algae, cyanobacteria), the interactions of pollutants and mineral substrates, and the consequent formation of salts, black crusts and corrosion products. We highlight the role of biomonitoring as a methodological and interpretive bridge linking atmospheric pollution to biodeterioration processes. In addition, we discuss emerging interdisciplinary methodologies - including functional metagenomics, microbial network analysis, and metabolomic profiling -and introduce the Function-Based Biodegradation Risk Assessment model, extended into a Multi-Level Risk Assessment Framework that connects microbial functionality, material diagnostics, and climate modeling. We contend that safeguarding built heritage in a changing climate requires transitioning from static, material-centred diagnostics to integrated, predictive frameworks that link microbial ecology, materials science, and climate dynamics, providing the basis for adaptive and anticipatory conservation strategies.

RevDate: 2026-01-02
CmpDate: 2025-12-31

Wong KX, Chen ST, Ong JJ, et al (2025)

Exploring gut microbiome and nutritional status among children with Autism Spectrum Disorder (MY-ASD Microbiome): A study protocol.

PloS one, 20(12):e0338801.

BACKGROUND: Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder characterised by persistent deficits in social communication and the presence of restricted, repetitive behaviours or interests. Previous literature has identified a link between the gut and ASD; however, the underlying mechanisms remain unclear. Gut microbiota dysbiosis has been extensively reported in cohort studies of ASD, and specific microbial metabolites or by-products may serve as potential biomarkers for ASD. Additionally, children with ASD often exhibit food refusal, have a limited food repertoire and display a tendency to consume the same foods frequently; thus, these behaviours increase their risk of malnutrition (over-nutrition or under-nutrition) compared to typically developing (TD) healthy children. This study primarily aims to identify oral and gut microbiota among children with ASD and TD healthy children. The secondary aim is to determine the associations between oral and gut microbiota with nutritional status among children with ASD. The findings will enhance understanding of the aetiology of ASD and inform early intervention strategies to mitigate disease severity and early identification of malnutrition in genetically at-risk children.

METHODS AND ANALYSIS: This observational, age-matched, case-control study is conducted in Malaysia among 40 male children with ASD and age-matched with 40 TD healthy controls aged 4-10 years. The dependent variables include the microbiota profile, identified through metagenomic sequencing analysis of saliva and faecal samples, and autism severity, assessed through validated questionnaires. Independent variables include nutritional status, determined through Subjective Global Nutrition Assessment (SGNA), anthropometry and dietary measurements, gastrointestinal symptoms, eating behaviour, behavioural profile, and sleep quality. Data collection is expected to be completed by June 2026. The study nature may limit causality establishment. Analyses will use chi-square/ANOVA for group comparisons, SparCC for microbiota correlations, and mixed-effects logistic regression to model associations.

CONCLUSION: This study advances understanding of ASD-related microbiota, guiding personalised nutrition and precision healthcare in Malaysia.

RevDate: 2025-12-31
CmpDate: 2025-12-31

Luo S, Li Z, Peng Y, et al (2025)

Comparative metagenomics reveals the differential gut microbiota involved in bile acid metabolism in patients with crohn's disease.

World journal of microbiology & biotechnology, 42(1):21.

Gut microbiota plays a critical role in bile acid (BA) metabolism within healthy populations, yet the differential species involved in BA metabolism in patients with Crohn's disease (CD) remains poorly characterized. To address this knowledge gap, we conducted a comparative metagenomics for nine CD patients and nine healthy controls. Integrated metagenomic species profiling and functional annotation, accompanied with species-function network analysis, reduced abundance in metabolism-associated genes and lower species-function correlation were predicted, suggesting a possible imbalance of microbial communities in CD group. Focused on functional genes involved in BA metabolism and their associated bacterial taxa, our results revealed that Anaerostipes hadrus-like (P = 0.001317), Roseburia intestinalis-like (P = 0.03542), and Coprococcus catus-like (P = 0.0005787), the microbial species related to bile salt hydrolase-coding gene, showed significantly lower abundance in CD patients. Conversely, Ruminococcus gnavus-like, related to 3α-hydroxysteroid dehydrogenase (3α-HSDH)- and 3β-HSDH-coding genes, demonstrated relatively higher abundance (P = 0.0257). Escherichia coli-like, the species for 7α-HSDH-coding genes, also exhibited higher abundance in CD group (P = 0.01044). Further network correlation analysis indicated that there was a potential association between these differential species with other co-occurring gut microbiota. Collectively, the findings identify and characterize the differential gut microbiota involved in BA metabolism in CD patients, which may provide the possible target microorganisms for future therapeutic interventions.

RevDate: 2025-12-31

Mehar K, K KP, Sen AP, et al (2025)

Next-Generation Eco-Omics: Integrating Microbial Function Into Predictive Ecosystem Models.

Biotechnology and applied biochemistry [Epub ahead of print].

Microorganisms drive essential ecosystem functions by mediating carbon, nitrogen, sulfur, and phosphorus transformations that regulate productivity and shape climate feedbacks. Rapid methodological advances now allow precise linkage of microbial identity, in situ activity, and ecosystem processes across spatial and temporal scales. High-resolution approaches-including long-read metagenomics and Hi-C-generate near-complete metagenome-assembled genomes (MAGs) from diverse environments, enabling reconstruction of microbial and viral-host interaction networks. Activity-resolved tools such as quantitative stable isotope probing (qSIP) and bioorthogonal non-canonical amino acid tagging (BONCAT), combined with fluorescence-activated cell sorting (FACS), yield taxon-specific growth and substrate assimilation rates within hours. Single-cell isotope techniques, including Raman-SIP and nanoSIMS, deliver nanometer-scale metabolic insights. Spatial meta-omics platforms, such as MetaFISH and MALDI-MSI, map metabolites alongside microbial identities with micrometer-level precision. Meanwhile, autonomous sequencing systems, including environmental sample processors and nanopore adaptive sampling, enable real-time (<24 h) ecological surveillance. Integrating these multimodal datasets into trait-based frameworks has reduced uncertainty in carbon flux predictions by nearly 20%. This review synthesizes these innovations, outlines optimized analytical pipelines, and proposes a framework for embedding eco-omics into predictive ecosystem and climate models, supporting evidence-driven management aligned with Climate Action and Life on Land.

RevDate: 2025-12-31
CmpDate: 2025-12-31

Mao X, Hu X, J Fang (2025)

Gut microbiota-metabolite interactions in drug-induced liver injury: mechanisms, biomarkers, and therapeutic perspectives.

Frontiers in cellular and infection microbiology, 15:1737234.

Drug-induced liver injury (DILI) remains a major obstacle in clinical pharmacotherapy and a leading cause of acute liver failure and drug withdrawal worldwide. Conventional mechanistic models centered on hepatic xenobiotic metabolism, oxidative stress, and immune injury cannot fully account for the substantial interindividual variability and the unpredictable nature of idiosyncratic DILI. Increasing evidence shows that the gut microbiota and its metabolites critically shape hepatic susceptibility through modulation of drug metabolism, inflammatory signaling, and intestinal barrier integrity. This review summarizes current understanding of the gut-liver axis in DILI pathogenesis, with a focus on microbial enzymes such as β-glucuronidase that reactivate detoxified drug conjugates, microbial dysbiosis that disrupts bile acid homeostasis, and depletion of short chain fatty acids and indole derivatives that normally support epithelial defenses and immunologic tolerance. Drug-specific microbial patterns are discussed, including acetaminophen, amoxicillin-clavulanate, anti-tuberculosis regimens, and immune checkpoint inhibitors. We introduce the concept of metabotype-dependent hepatotoxicity, which emphasizes that individual microbial metabolic profiles influence DILI risk. Advances in metagenomics, metabolomics, and integrative multi-omics enable the identification of microbial biomarkers and functional pathways associated with DILI susceptibility. Emerging therapeutic strategies include restoration of microbial homeostasis, selective inhibition of microbial enzymes, and supplementation of hepatoprotective metabolites. Finally, we outline key challenges and future directions toward translating microbiome-based insights into clinical prediction and precision prevention of DILI. Importantly, this review integrates microbial metabolic functions with precision hepatology concepts, highlighting how metabotype-driven variability can be leveraged for individualized DILI risk assessment.

RevDate: 2025-12-31
CmpDate: 2025-12-31

Yao X, Zou X, B Cao (2025)

The Human Respiratory Virome in Health and Disease: Interactions, Dysbiosis, and Methodological Challenges.

Advanced genetics (Hoboken, N.J.), 6(4):e00022.

The human respiratory virome is an underexplored component of the microbiome that includes diverse DNA and RNA viruses such as eukaryotic viruses, bacteriophages, and archaeal viruses. Recent advances in metagenomics have revealed the complexity and dynamic nature of the human respiratory virome, which interacts closely with the host and the bacterial microbiome to influence respiratory health and disease. In healthy individuals, the virome is characterized by low biomass and high temporal variability, with Anelloviruses predominant in the upper airways, whereas Streptococcus phages and herpesviruses are most commonly detected in the lower airways. Common respiratory viruses, such as respiratory syncytial virus, human rhinovirus, and influenza A virus, can persist after acute infection and modulate host immunity. The respiratory virome also plays a significant role in chronic respiratory diseases. Despite its importance, research on the respiratory virome is hampered by technical challenges, including low viral abundance and limited reference databases. This review summarizes current understanding of the composition and determinants of the respiratory virome in healthy individuals, describes its interactions with the host and respiratory microbiota, including the potential modulatory roles of bacteriophages, outlines virome alterations in respiratory diseases, examines methodological challenges, and highlights potential clinical applications and future research directions.

RevDate: 2025-12-31
CmpDate: 2025-12-31

Wagner ES, Oliphant K, D'Souza M, et al (2025)

Fecal Microbiome and Bile Acid Profiles Differ in Preterm Infants with Parenteral Nutrition-associated Cholestasis.

Journal of clinical and translational hepatology, 13(12):1036-1045.

BACKGROUND AND AIMS: Parenteral nutrition (PN)-associated cholestasis (PNAC) is frequently diagnosed in premature infants; however, not all PN-exposed infants develop PNAC. We propose that, in premature infants receiving PN and varying amounts of enteral feeds, differences in the gut microbiome and fecal bile acid content are associated with PNAC development. This study aimed to examine the fecal microbiome and bile acid content of premature infants on PN to determine if there is a relationship with the development of PNAC.

METHODS: Twenty-two preterm infants had serial bilirubin measurements and fecal samples collected during their neonatal intensive care unit admission. Fecal samples underwent 16S rRNA gene sequencing and bile acid analysis. Binomial regression, adjusting for postmenstrual age with feed amount as a moderator, was used to assess the impact of the fecal microbiome and bile acids on PNAC development.

RESULTS: Cholestatic patients (n = 11) had greater PN and antibiotic exposure (p = 0.020; p = 0.010) and longer neonatal intensive care unit stays (p = 0.0038) than non-cholestatic patients. Microbiome richness was higher in non-cholestatic infants (p < 2E-16), with no difference in β diversity (p = 1.0). Cholestatic infants had a significantly higher abundance of Proteobacteria and Fusobacteriota and a lower abundance of Bacteroidota (p < 2E-16). Akkermansia was abundant in all infants on low feeds; as feed volume increased, Akkermansia abundance significantly increased in non-cholestatic infants (p < 2E-16). Bile acid analysis demonstrated significantly lower deoxycholic acid concentrations in cholestatic infants (p < 2E-16). Metagenomic analysis revealed an increase in Proteobacteria requiring augmented stress responses in non-cholestatic infants.

CONCLUSIONS: This is the first study to directly explore the relationship between PNAC susceptibility, the microbiome, and fecal bile acids in preterm infants. The microbiome and bile acid patterns identified here may inform the development of targeted therapeutics for this vulnerable population.

RevDate: 2025-12-31
CmpDate: 2025-12-31

Wu D, Wang AJ, Bu DC, et al (2025)

The interplay between tissue-resident microbiome and host proteins by integrated multi-omics during progression of colorectal adenoma to carcinoma.

iMeta, 4(6):e70090.

The intratumoral microbiome is an emerging hallmark of cancer, yet its multi-kingdom host-microbiome ecosystem in colorectal cancer (CRC) remains poorly characterized. Here, we conducted an integrated analysis using deep shotgun metagenomics and proteomics on 185 tissue samples, including adenoma (A), paired tumor (T), and para-tumor (P). We identified 4057 bacterial, 61 fungal, 108 archaeal, and 374 viral species in tissues and revealed distinct intratumor microbiota dysbiosis, indicating a CRC-specific multi-kingdom microbial ecosystem. Proteomic profiling uncovered four CRC subtypes (C1-C4), each with unique clinical prognoses and molecular signatures. We further discovered that host-microbiome interactions are dynamically reorganized during carcinogenesis, where different microbial taxa converge on common host pathways through distinct proteins. Leveraging this interplay, we identified 14 multi-kingdom microbial and 8 protein markers that strongly distinguished A from T samples (area under the receiver operating characteristic curve (AUROC) = 0.962), with external validation in two independent datasets (AUROC = 0.920 and 0.735). Moreover, we constructed an early- versus advanced-stage classifier using 8 microbial and 4 protein markers, which demonstrated high diagnostic accuracy (AUROC = 0.926) and was validated externally (AUROC = 0.659-0.744). Functional validation in patient-derived organoids and murine allograft models confirmed that enterotoxigenic Bacteroides fragilis and Fusobacterium nucleatum promoted tumor growth by activating Wnt/β-catenin and NF-κB signaling pathways, corroborating the functional potential of these biomarkers. Together, these findings reveal dynamic host-microbiome interactions at the protein level, tracing the transition from adenoma to carcinoma and offering potential diagnostic and therapeutic targets for CRC.

RevDate: 2025-12-31
CmpDate: 2025-12-31

Liu J, Xing W, Zhang X, et al (2025)

Metagenomics and digital cell modeling facilitate targeted high-throughput sorting of anaerobic hydrogen-producing microorganisms.

iMeta, 4(6):e70082.

This study proposes a novel strategy that prioritizes functional recognition, followed by targeted high-throughput sorting, to enable the comprehensive, rapid, and efficient acquisition of target microorganisms. Using metagenomic sequencing and binning analysis, we identified 215 potential anaerobic hydrogen-producing strains from 12 large-scale biogas samples. Digital cell models were subsequently constructed from metagenome-assembled genomes, which guided the design of 14 selective culture media for enriching these hydrogen-producing bacteria. Flow cytometry-based high-throughput sorting successfully isolated 81 potential anaerobic hydrogen-producing strains, achieving a target acquisition rate above 37% and a survival rate exceeding 70%. This method holds broad potential for the discovery and sorting of functional microorganisms across diverse environments and may ultimately facilitate the development of synthetic microbiomes for industrial applications.

RevDate: 2025-12-31
CmpDate: 2025-12-31

Xiao Z, Ding K, Guo X, et al (2025)

Soil-borne legacy facilitates the dissemination of antibiotic resistance genes in soil-plant continua.

iMeta, 4(6):e70094.

Antimicrobial resistance (AMR) disseminates throughout the soil-plant continuum via complex microbial interactions. Plants shape root- and leaf-associated microbiomes that sustain plant health; however, soil-borne legacies-enriched with antibiotic-producing microbes and resistance genes-govern AMR dynamics across agroecosystems. Using 16S rRNA gene sequencing, shotgun metagenomics, and high-throughput quantitative PCR, we profiled antibiotic resistance genes (ARGs), mobile genetic elements, and virulence factor genes across bulk soil, rhizosphere, phyllosphere, and root endosphere within soil-tomato and soil-strawberry continua. Recurrent bacterial wilt amplified the resistome, particularly polypeptide resistance genes, thereby establishing the rhizosphere as a major hotspot of ARG accumulation. Multidrug-resistant Ralstonia solanacearum (R. solanacearum) strains acted as major ARG reservoirs, harboring resistance determinants on both chromosomes and megaplasmids. Collectively, these findings demonstrate that pathogen-driven restructuring of the plant microbiome accelerates ARG dissemination, establishing soil-borne diseases as critical amplifiers of AMR across agricultural ecosystems.

RevDate: 2025-12-31
CmpDate: 2025-12-31

Wang G, Zhao L, Shi Y, et al (2025)

High-throughput generic single-entity sequencing using droplet microfluidics.

iMeta, 4(6):e70087.

Single-cell sequencing has revolutionized our understanding of cellular heterogeneity by providing a micro-level perspective in the past decade. While heterogeneity is fundamental to diverse biological communities, existing platforms are primarily designed for eukaryotic cells, leaving significant gaps in the study of other single biological entities, such as viruses and bacteria. Current methodologies for single-entity sequencing remain limited by low throughput, inefficient lysis, and highly fragmented genomes. Here, we present the Generic Single-Entity Sequencing (GSE-Seq), a versatile and high-throughput framework that overcomes key limitations in single-entity sequencing through an integrated workflow. GSE-Seq combines (1) one-step generation of massive barcodes, (2) degradable hydrogel-based in situ sample processing and whole genome amplification, (3) integrated in-droplet library preparation, and (4) long-read sequencing. We applied GSE-Seq to profile viral communities from human fecal and marine sediment samples, generating thousands of high-quality single-entity genomes and revealing that most are novel. GSE-Seq identified not only dsDNA and ssDNA viruses, but also hard-to-detect giant viruses and crAssphages. GSE-Seq of bacterial genomes also revealed putative novel bacterial species, validating the versatility of this platform across different microbial kingdoms. Collectively, GSE-Seq represents a robust framework that addresses persistent challenges in high-throughput profiling for generic applications and holds immense promise for single-cell deconvolution of diverse biological entities.

RevDate: 2025-12-31
CmpDate: 2025-12-31

Lan B, Liang Y, Zhou Z, et al (2025)

Gut microbiome dysbiosis implicates the gut-bone axis in Modic changes: a metagenomic case-control study.

Frontiers in microbiology, 16:1702357.

INTRODUCTION: Modic changes (MCs) are vertebral endplate lesions strongly associated with discogenic low back pain (LBP), though their pathogenesis remains poorly understood. Emerging evidence implicates gut microbial dysbiosis in systemic inflammation and musculoskeletal disorders, yet its potential role in MCs has not been investigated. This study aimed to characterize the gut microbiome in patients with MCs and identify microbial and metabolic features linked to disease severity.

METHODS: In a case-control study, shotgun metagenomic sequencing was performed on fecal samples from 31 patients with MCs (16 Type 1, 15 Type 2) and 25 age- and sex-matched healthy controls. Microbial community structure was assessed via alpha and beta diversity analyses. Differential taxa and predictive biomarkers were identified using linear discriminant analysis effect size (LEfSe) and Random Forest modeling. Functional potential was evaluated via Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis. Associations between microbial features and clinical markers (C-reactive protein [CRP], Pfirrmann grade) were also examined.

RESULTS: Patients with MCs showed significantly reduced gut microbial alpha diversity compared to controls (Chao1 index: p = 0.005; Shannon index: p = 0.034; Simpson index: p = 0.042), with the most pronounced reduction in Type 1 MCs. Beta diversity analysis revealed distinct microbial communities between groups (PERMANOVA, p = 0.001). Key discriminative taxa included unclassified_Parabacteroides (AUC = 0.895) and Bacteroides uniformis (AUC = 0.889). Metabolic pathway analysis identified 52 differentially abundant pathways, with significant enrichment of quorum sensing (p < 0.001) and glycerolipid metabolism (p < 0.001) in MC patients, both strongly correlated with elevated CRP and higher Pfirrmann grade (p < 0.001).

DISCUSSION: Gut microbial dysbiosis is associated with MCs, marked by reduced diversity, specific bacterial biomarkers, and altered metabolic pathways related to inflammation and tissue degeneration. These results suggest a potential role of the gut-bone axis in MC pathogenesis and highlight novel targets for diagnostic and therapeutic strategies in LBP.

RevDate: 2025-12-31

Xu ST, Qian ZY, Y Tao (2025)

Chinese Expert Consensus on the Application of Metagenomic Sequencing Technology in Ocular Infectious Diseases: A Delphi Method.

Biomedical and environmental sciences : BES, 38(12):1550-1557.

RevDate: 2025-12-31
CmpDate: 2025-12-31

Yagi K, Ethridge AD, Asai N, et al (2025)

Changes in Microbiome Correspond with Diminished Lung Pathophysiology Following Early-Life Respiratory Syncytial Virus Infection or Antibiotic Treatment: Microbiome Following RSV Infection.

Viruses, 17(12):.

Early-life respiratory syncytial virus (EL-RSV) infection has been implicated in long-term pulmonary disease in children. In these studies, neonatal BALB/c mice were infected at day 7 of life, leading to >35% losses in critical lung function, airway mucus metaplasia, and transcriptional hallmarks of mucus hypersecretion four weeks after RSV infection. While EL-RSV minimally reshaped the resident lung microbiota, it led to significant gut dysbiosis, including a long-term reduction of Proteobacteria that can be a source of protective metabolites related to barrier and immune function. Subsequent studies assessing whether a common infant antibiotic (ampicillin) could mitigate EL-RSV-induced lung alterations revealed further severe gut microbiome alterations and, on its own, later in life, recapitulated the full spectrum of RSV-associated alterations in lung function. Metagenomic inference showed that both RSV and ampicillin administered during early life reduced biosynthetic pathways for microbiome-derived metabolites, which are known to reinforce tight junctions, regulate inflammation, and preserve extracellular matrix elasticity. The shared loss of these metabolic programs provides a mechanistic bridge linking distinct early-life exposures to the microbiome changes and airway mechanical deficits later in life. Collectively, the data suggest that RSV and/or antibiotic-triggered gut dysbiosis is the primary insult that likely promotes improper lung maturation/repair through a metabolite-mediated mechanism and may suggest metabolite restoration as a strategy to promote proper developmental lung function.

RevDate: 2025-12-31
CmpDate: 2025-12-31

Mandal E, Noirungsee N, Disayathanoowat T, et al (2025)

TSWV Infection Differentially Reshapes the Symbiotic Microbiome of Two Frankliniella Thrips Species.

Viruses, 17(12):.

Vectoring tomato spotted wilt virus (TSWV) by two well-known thrips species, Frankliniella occidentalis Pergande and F. intonsa Trybom (Thysanoptera: Thripidae), is facilitated in different ways. Symbiotic bacteria positively influence thrips fitness, but the interaction between these bacteria and tospovirus inside the thrips' body remains unknown. Metagenomic profiling of symbionts in nonviruliferous and viruliferous Frankliniella thrips was performed to elucidate the interactions between symbiotic bacteria and the virus. A total of 97 operational taxonomic units (OTUs) were identified by profiling the microbes, where Proteobacteria was the most abundant phylum, with a high richness in Serratia spp. F. occidentalis showed lower variation in bacterial diversity between nonviruliferous and viruliferous treatments than F. intonsa. RT-qPCR validation for Serratia and Escherichia revealed opposite abundance patterns between the two thrips species. In contrast, Enterobacteriaceae and Pantoea showed similar patterns with higher abundance in nonviruliferous conditions. Wolbachia was detected exclusively in F. intonsa, with a higher bacterial titer in the viruliferous sample. Our findings suggest that TSWV association may influence the abundance of different bacterial symbionts within the thrips' body, potentially via induction of antimicrobial peptides in response to viral invasion, and to our knowledge this is the first report addressing this tripartite interaction. These findings improve our understanding of how virus-symbiont association contributes to thrips vector competence.

RevDate: 2025-12-31
CmpDate: 2025-12-31

Dos Santos MM, Salles TS, de Campos GM, et al (2025)

Acute Respiratory Infections (ARIs): Current Etiological Perspectives and Advances in Viral Metagenomics-A Review.

Viruses, 17(12): pii:v17121554.

Acute respiratory infections (ARIs) remain a leading cause of global morbidity and mortality, disproportionately affecting vulnerable populations such as children, the elderly, and immunocompromised individuals. Despite the availability of traditional diagnostic tools, including viral culture and highly elaborated PCR respiratory panels, many cases of ARI remain without an identified etiological agent. This is due to the vast diversity of viral agents that can be involved in cases of ARI, which represents a major limitation of the targeted diagnosis. In this context, viral metagenomics has emerged as a powerful, unbiased approach for detecting both known and novel pathogens directly from clinical samples. This review highlights the application of metagenomic next-generation sequencing for the investigation of etiological causes of ARIs, emphasizing its relevance in complex cases-particularly among immunocompromised patients-where standard methods might fail. We highlight the main viruses involved in respiratory infections, the strengths and limitations of metagenomic next-generation sequencing approaches, their role in genomic surveillance of respiratory viruses, and their potential to build public health responses to potentially emerging respiratory threats. Ultimately, integrating viral metagenomics into clinical and surveillance frameworks could enhance the early detection and control of respiratory viral diseases worldwide.

RevDate: 2025-12-31
CmpDate: 2025-12-31

Galeeva J, Kuzmichenko P, Manolov A, et al (2025)

Bioinformatics Tools and Approaches for Virus Discovery in Genomic Data: A Systematic Review.

Viruses, 17(12): pii:v17121538.

The exponential growth of viral metagenomic data has created an urgent need for accurate and scalable tools for virus discovery, yet the extreme diversity, rapid evolution, and limited reference databases for viruses pose unique computational challenges that traditional sequence comparison methods struggle to address. This systematic review, conducted in accordance with PRISMA 2020, examines current trends and methodological advances in virus discovery tools from 1990 to 2025. As virus discovery is a broad and multi-dimensional topic, this review focuses on the first-line tools used to analyze the results of high-throughput sequencing. The review was conducted using the PubMed database with a snowballing approach, with over 54 key studies selected for the analysis. These studies encompass the following approaches: alignment-based methods, rapid similarity estimation techniques, profile hidden Markov model methods, combination pipelines, k-mer-based approaches, and machine learning-based methods. The transition from alignment-based to machine learning methods has dramatically improved the detection of divergent viruses, yet challenges remain in interpreting model decisions and handling incomplete viral genomes. This review summarizes current knowledge and potential future directions for the development of virus detection capabilities.

RevDate: 2025-12-31
CmpDate: 2025-12-31

Lapshina VK, Guskova NI, Stetsenko IF, et al (2025)

Characterizing the Bat Virome of Vietnam: A Systematic Review of Viral Diversity and Zoonotic Potential.

Viruses, 17(12): pii:v17121532.

Bats have been identified as reservoir hosts for an exceptional diversity of viruses, including multiple taxa of high zoonotic concern. Over a hundred bat species inhabit Vietnam, which, combined with significant biodiversity, carry high risk of zoonotic spillover due to dense human-animal interfaces, extensive wildlife trade, and proximity to recent outbreak epicenters. This review systematically synthesizes data on the bat virome in Vietnam and neighboring Southeast Asian countries, assessing viral diversity, host species involvement, and zoonotic potential. By prioritizing virus groups with established zoonotic capacity and pandemic potential, the systematic search identified studies reporting viruses from 32 families across 13 bat families. Based on the WHO 2024 risk classification, seven of these viral families were categorized as high-risk, three as medium-risk, and twelve as low-risk. The comparatively higher viral diversity reported in neighboring countries suggests that the current study likely represents an underestimation of the true virome present in Vietnamese bat populations. We emphasize the urgent need for expanded virological studies integrating metagenomic sequencing, serological surveys, and ecological modeling to improve early detection of emerging threats, as the comparatively higher viral diversity reported in neighboring countries suggests existing research likely represents an underestimation of the true virome present in Vietnamese bat populations. Strengthening regional collaboration is critical for establishing proactive pandemic prevention strategies in this high-risk zoonotic hotspot.

RevDate: 2025-12-31
CmpDate: 2025-12-31

Koutsakos M, Parry RH, M Wille (2025)

Mounting Evidence for an Expanded Host Range of Influenza B Viruses.

Viruses, 17(12): pii:v17121528.

Influenza B viruses (IBV) belong to the family of Orthomyxoviridae and circulate annually in humans causing respiratory illness. Although they are considered an exclusively human pathogen, there is evidence of IBV infections in animals, including wildlife, companion animals and livestock. In addition, metagenomic studies have identified novel orthomyxoviruses in amphibians and fish that appear related to IBV, suggesting influenza viruses, including IBV, have been associated with vertebrates across their evolutionary history. In this review, we summarise our current knowledge of potential IBV and IBV-like infections in animals. These collectively suggest that the ecology of IBV extends beyond humans and warrants further investigations.

RevDate: 2025-12-31
CmpDate: 2025-12-31

Cheng H, Chong H, Yuan M, et al (2025)

Soil Microbial Life History Strategies Drive Microbial Carbon Use Efficiency Following Afforestation.

Microorganisms, 13(12):.

Soil microbial carbon use efficiency (CUE) is the core of the soil carbon (C) cycle that captures a dual microbial control point between soil organic C (SOC) accumulation and loss. The interpretation of these patterns and drivers of microbial CUE after long-term afforestation remains, however, a major scientific challenge. In particular, there are major uncertainties about the role of microbial traits in driving CUE. Here, we compared sites along a 45-year afforestation chronosequence and combined the novel [18]O-H2O tracer method with metagenomic analysis to quantify CUE and explore the mechanisms underlying microbe-mediated C dynamics. The results showed that soil microbial CUE significantly increased following afforestation and showed a positive relationship with SOC, which suggested that microbial CUE could promote C accumulation in afforested ecosystems. We further found the critical role of microbial traits in the regulation of CUE through altering microbial life history strategies: microbial CUE was positively and significantly correlated with resource acquisition (A) genes, but showed a negative and significant correlation with stress tolerance (S) strategy genes. These results suggested that soil microbes reduce investment in S strategies and shift to A and high yield (Y) strategies, thereby increasing CUE. This knowledge is important because it advances our understanding of the microbial physiological and evolutionary tradeoffs mediating soil C cycling in the context of human-induced land use change.

RevDate: 2025-12-31
CmpDate: 2025-12-31

Yamaguchi J, Orf GS, Malinauskas J, et al (2025)

teamNGS Balances Sensitivity for Viruses with Comprehensive Microbial Detection in Clinical Specimens.

Microorganisms, 13(12):.

Probe-based capture represents a highly sensitive and cost-effective approach for overcoming host background and enriching viruses in metagenomic NGS (mNGS) libraries. Using clinical specimens collected globally from patients with fever or respiratory illness, we generated mNGS libraries by random priming and Nextera XT tagmentation, followed by target enrichment (teNGS) with Comprehensive Viral Research Panel (CVRP) probes. Capture pool sizes and total reads were optimized, and libraries were initially sequenced separately. Using only 3-4% of reads required for standard mNGS, teNGS achieved increased sensitivity, 100-10,000× increases in depth, and >50% genome coverage for pathogens with titers ≥ 1000 cp/mL. Application to >2000 clinical specimens from various matrices and to contrived samples containing viruses absent from the CVRP probe set enabled detection of diverse viral families and established a minimum 65% nucleotide identity for hybridization, respectively. To save time and resources, teNGS and mNGS libraries were then combined into one sequencing run: teamNGS. In addition to streamlining the workflow, teamNGS also improved genome recovery. Coupling methods maintain the sensitivity and coverage for viruses achieved by enrichment alone while also ensuring comprehensive recovery of non-viral microbes. teamNGS has the potential to improve patient management and lower the rates of unnecessary testing and antibiotic use.

RevDate: 2025-12-31
CmpDate: 2025-12-31

Gladkov GV, Kimeklis AK, Orlova OV, et al (2025)

Taxonomic and Metagenomic Survey of a Peat-Based Straw Degrading Biofertilizer.

Microorganisms, 13(12):.

The mobilization of complex microbial communities from natural resources can be a valuable alternative to the use of single-species biofertilizers when it comes to the decomposition of plant residues. However, the functioning and interaction of microorganisms within these communities remain largely unexplored. Our task was to investigate the cellulose-degrading community using the biofertilizer BAGS (peat-based compost with straw) as an example and define its active component. For this, we monitored the succession of the biofertilizer's taxonomic composition during two consecutive rounds of its six-month composting process, varying in the applied mineral fertilization. The amount of added nitrogen significantly affected the performance of the biofertilizer, contributing to its high cellulolytic activity. Based on the network analysis, the biofertilizer's mature phase was determined, and its characteristic ASVs (amplicon sequence variants) were described. Metagenomic analysis of this phase revealed MAGs (metagenome-assembled genomes) corresponding to these ASVs, which contained genes for cellulose and aromatics degradation, as well as genes for nitrogen and sulfur pathways, including anaerobic nitrate reduction and thiosulfate oxidation. Thus, we propose that the cellulose-decomposing bacterial component of BAGS, associated with the mature phase, occupied different trophic niches, not limited to cellulose degradation, which should be considered when designing natural or artificial microbial systems for the decomposition of plant residues.

RevDate: 2025-12-31
CmpDate: 2025-12-31

Li M, Chen P, Liu C, et al (2025)

Gut Microbiome and Metabolome Signatures Associated with Heat Tolerance in Dairy Cows.

Microorganisms, 13(12):.

Heat stress significantly impairs dairy cow health and productivity, highlighting the need to understand the gut microbiome-metabolite interactions that contribute to heat tolerance. Here, we integrated metagenomic sequencing and untargeted metabolomics in twelve holstein cows selected from a previously phenotyped herd of 120 individuals, including six heat-tolerant (HT) and six heat-sensitive (HS) cows identified using entropy-weighted TOPSIS scoring. HT cows were enriched in genera such as Faecalimonas and UBA737, which were functionally linked to pathways of energy and lipid metabolism, whereas, HS cows harbored taxa associated with bacterial lipopolysaccharide and glycosphingolipid biosynthesis. A total of 135 metabolites were differentially abundant between groups. Among them, glycerol 2-phosphate and 24(28)-dehydroergosterol showed perfect classification performance (AUC = 1.000), and were mainly involved in membrane lipid remodeling and redox regulation. Integrated analysis revealed coordinated microbial-metabolite networks, exemplified by the Faecalimonas-LysoPS (16:0/0:0) and UBA737-Glycerol 2-phosphate axes, suggesting functional coupling between microbial composition and metabolic adaptation. Together, these findings demonstrate that HT cows harbor gut microbiota and metabolites favoring energy balance, membrane remodeling, and oxidative stress resilience, while HS cows display stress-related metabolic patterns. This study elucidates the microbial-metabolic mechanisms underlying thermal resilience and highlights potential biomarkers and metabolic pathways that could be applied in heat-tolerance breeding and precision management of dairy cattle.

RevDate: 2025-12-31
CmpDate: 2025-12-31

Dhakal R, Guo W, Vieira RAM, et al (2025)

Advances in Lignocellulose-Degrading Enzyme Discovery from Anaerobic Rumen Fungi.

Microorganisms, 13(12):.

Anaerobic fungi (phylum Neocallimastigomycota) play a crucial role in degrading forages and fibrous foods in the gastrointestinal tract of mammalian herbivores, particularly ruminants. Currently, they are classified into twenty-two genera; however, recent research suggests the occurrence of several novel taxa that require further characterization. Anaerobic rumen fungi play a pivotal role in lignocellulose degradation due to their unique enzymatic capabilities. This review explores the enzymatic systems of rumen anaerobic fungi, highlighting their ability to produce a diverse array of carbohydrate-active enzymes (CAZymes), such as cellulases, hemicellulases, and pectinases. These enzymes facilitate the breakdown of complex plant polymers, making anaerobic fungi essential contributors to fiber degradation in the rumen ecosystem and valuable resources for biotechnological applications. This review summarizes the structural and functional diversity of fungal CAZymes, and the mechanical disruption of plant cell walls by fungal rhizoidal networks is discussed, showcasing the ability of fungi to enhance substrate accessibility and facilitate microbial colonization. Recent studies using genomic, transcriptomic, and biochemical approaches have uncovered several novel CAZymes in anaerobic fungi, including multifunctional xylanases, β-glucosidases, and esterases. These findings highlight the continued expansion of fungal enzyme repertoires and their potential for biotechnology and feed applications. Continued research in this field will enhance our understanding of microbial ecology and enzyme function, paving the way for applications that address global challenges in energy, food security, and environmental sustainability.

RevDate: 2025-12-31
CmpDate: 2025-12-31

Li H, Yang K, Liu H, et al (2025)

Effects of Long-Term Heavy Metal Exposure on Oral Microbial Antibiotic Resistance Genes of Residents in the Mining and Smelting Area.

Microorganisms, 13(12):.

Growing evidence highlights the role of heavy metals in driving the co-selection of an-tibiotic resistance genes (ARGs), and the human oral cavity is an important reservoir of ARGs. This cross-sectional study investigated the effects of heavy metal exposure on human oral microbiota and ARGs, collecting buccal mucosal and blood samples from residents in a heavy metal-contaminated area (Baiyin City) and a non-contaminated area (Yuzhong County, Lanzhou City). The results showed heavy metal exposure is associated with altered alpha and beta diversity of bacteria and ARGs in human oral cavities, with bacterial compositional shifts being the main factor in ARG variation. Metagenomic analysis revealed heavy metal exposure is linked to modifying the interactions in the bacterial community and between ARGs and metal resistance genes (MRGs), shown by simplified topological structures in bacterial and resistome networks, along with enhanced positive correlations among nodes. Neisseria, Haemophilus, Morococcus, Streptococcus, Staphylococcus, and Mycobacteroides as potential hosts for resistance genes in human oral cavity. Furthermore, blood metal quantification revealed distinct associations with resistance patterns. This study demonstrates significant associations between environmental heavy metal exposure and the oral resistome and emphasizes the role of bacterial community composition.

RevDate: 2025-12-31
CmpDate: 2025-12-31

Cheng H, Yuan M, Ren C, et al (2025)

Soil Nitrogen Mineralization Is Driven by Functional Microbiomes Across a North-South Forest in China.

Microorganisms, 13(12):.

Nitrogen (N) mineralization is a complex microbial-driven process that controls the supply of N for plants and microbes. The relative contribution of different microbial N-cycling species/genes to the variation in N mineralization rate (NMR) across contrasting forest biomes was unclear. Here, we investigate the linkages between soil metagenomes and N mineralization rates across 10 contrasting forest biomes (covering temperate, subtropical, and tropical forests) along a 3425 km north-south forest in China. We found that the NMR was higher in subtropical forests, and the variation in NMR can be explained by climate and soil environments, particularly for soil substrate NH4[+]. Similar to NMR, microbial N-cycling genes/species were also higher in subtropical forests, suggesting that the higher microbial N-cycling traits in warm regions may drive higher NMR. We also quantified the contribution of microbial N-cycling gene pathways to NMR across forest biomes and found that the microbial N-denitrification pathway (genes like norZ, narG, nirK, and norB) and nitrification pathway (genes like nxr) explained more variation in NMR than other pathways, such as N ammonification. Collectively, our work demonstrates the importance of microbial N-cycling traits to explain soil N mineralization rates across forest biomes and suggests that this information can be used to help improve the management of the N cycle in forests across biomes.

RevDate: 2025-12-31
CmpDate: 2025-12-31

Pang Z, Guo J, Xu H, et al (2025)

Inter-Row Grassing Reshapes Nitrogen Cycling in Peach Orchards by Influencing Microbial Pathways in the Rhizosphere.

Microorganisms, 13(12):.

Traditional clean tillage in peach orchards leads to soil degradation and nitrogen (N) loss. While inter-row grassing can optimize N cycling, the specific rhizosphere microbial mechanisms involved have not been fully understood. This study investigated how different inter-row grassing modes influence N availability through microbial communities in a peach orchard. The experiment included a monoculture of Trifolium repens L. (Tr), a monoculture of Lolium perenne L. (Pr), their mixture (TPr), and clean tillage (CK). By combining soil physicochemical analyses, metagenomic sequencing, functional gene quantification, and multivariate statistics, the study systematically examined the impacts of inter-row grassing modes on soil N cycling. The results showed that inter-row grassing modes played a significant role in reshaping N processes. Pr enhanced mineralization and nitrification, increasing inorganic N through specific genes (amoA, hao). Tr, on the other hand, promoted diazotrophs (Bradyrhizobium) and dissimilatory nitrate-reducing bacteria, enhancing biological N fixation and retention. TPr combined these benefits, leading to enhanced nitrification, increased labile carbon, and elevated enzyme activities, creating a complex microbe-gene network that mediated nitrification and denitrification. Overall, inter-row grassing modulates rhizosphere functions by enhancing N cycling through a "carbon input-microbial regulation" mechanism, offering an effective strategy for improving N use efficiency and promoting sustainable orchard management.

RevDate: 2025-12-31
CmpDate: 2025-12-31

Wang C, Yu Y, Feng W, et al (2025)

The Microbial Community Succession Drives Stage-Specific Carbon Metabolic Shifts During Agaricus bisporus Fermentation: Multi-Omics Reveals CAZymes Dynamics and Lignocellulose Degradation Mechanisms.

Microorganisms, 13(12):.

This study integrates metagenomic and metabolomic data to systematically analyze the microbial community succession and carbon source metabolism transitions during the third fermentation cycle of Agaricus bisporus, with the aim of optimizing fermentation efficiency and lignocellulose degradation strategies. Principal Coordinate Analysis (PcoA) based on Bray-Curtis dissimilarity reveals significant microbial community separation across the stages of the first mushroom fruiting cycle. The overall pattern of "stage-specific differentiation" is consistent with the "cellulose hydrolysis" turn to the degradation of complex polysaccharides via carbohydrate-active enzymes (CAZymes). In the microbial network analysis showed that different microbe group controlled the stage-specific differentiation. These findings highlight a phase-dependent metabolic shift during the fermentation process: the early stages of fruiting rely more on cellulose-degrading microbes and their enzymatic systems, while later stages are driven by the degradation of complex polysaccharides and lignin derivatives, with Planctomycetota leading the degradation. This provides new mechanistic insights into agricultural waste resource utilization and the directional regulation of fermentation processes.

RevDate: 2025-12-31
CmpDate: 2025-12-31

Cui G, Cui J, Zhang M, et al (2025)

Study on the Source and Microbial Mechanisms Influencing Heavy Metals and Nutrients in a Subtropical Deep-Water Reservoir.

Microorganisms, 13(12):.

Reservoirs are hotspots for the coupling of nutrients and heavy metals, and they substantially modify the compositions and spatiotemporal distributions of microorganisms in fluvial systems. However, relatively few studies have been performed that investigate the microbial mechanisms driving interactions among heavy metals and nutrients in reservoirs. The Goupitan Reservoir, a seasonal stratified reservoir located within the Wujiang River catchment, was chosen as the research subject. The temporal and spatial variations in heavy metals and nutrients, and the metagenomic composition of the reservoir water were analyzed in January, April, July, and October 2019. The results revealed that As, Ni, Co, and Mn were derived primarily from mine wastewater, whereas Zn, Pb, Cd, and Cr were related to domestic and agricultural wastewater discharge. The study area was dominated by Proteobacteria, Actinobacteria, Cyanobacteria, and Bacteroidetes, with the proportion of dominant phyla reaching 90%. Decreases in the dissolved oxygen (DO) concentration and pH in the bottom water during July and October were conducive to increases in the abundance of the anaerobic bacterial groups Planctomycetes and Acidobacteria. The functional genes norBC and nosZ associated with denitrification (DNF), the key gene nrfAH involved in the dissimilatory nitrate reduction to ammonium (DNRA) process, the functional genes aprAB and dsrAB responsible for sulfate reduction/sulfide oxidation, as well as the thiosulfate oxidation complex enzyme system SOX, all exhibit high abundance in hypoxic water bodies and peak in the redoxcline, highlighting the significance of related nitrogen (N) and sulfur (S) metabolic processes. In addition, the concentrations of heavy metals significantly affected the spatial differentiation of the planktonic bacterial community structure, with Mn, Co, Fe, Ni, As, and Cu making relatively high individual contributions (p < 0.01). This study is important for elucidating the sources and microbiological mechanisms influencing heavy metals and nutrients in seasonally stratified subtropical reservoirs.

RevDate: 2025-12-31
CmpDate: 2025-12-31

Luo Z, Zhou Y, Wang X, et al (2025)

Effects of Endophytic Fungi and Arbuscular Mycorrhizal Fungi on Microbial Community Function and Metabolic Pathways in the Rhizosphere Soil of Festuca rubra.

Microorganisms, 13(12):.

Numerous studies have shown that there are many uncertainties associated with the interactions of nitrogen with plants and microorganisms. In particular, the effects of symbioses between plants and various microorganisms on soil microbial community function remain unclear. Metagenomic sequencing was used to explore the changes in microbial community composition, function and metabolic pathways in rhizosphere soil and the associated influencing factors under different nitrogen levels caused by arbuscular mycorrhizal fungi (AMF) inoculation of F. rubra infected with endophytic fungi and nonendophytic fungi. Plant nutrient allocation (aboveground/belowground), soil pH, and enzymatic activities significantly modulated the functional profiles of the bacterial, fungal, and archaeal communities within these rhizospheres. Soil β-glucosidase activity had the greatest effect on the cluster of orthologous groups of proteins (COG) function of the rhizosphere soil bacterial community, and soil L-leucine aminopeptidase had the greatest effect on the COG function of the rhizosphere soil fungal and archaeal communities. The contributions of AMF colonization to the kyoto encyclopedia of genes and genomes (KEGG) functions of bacteria and archaea in the rhizosphere soil were greater than those of F. rubra infection with endophytic fungi, and AMF colonization improved the metabolic pathways, secondary metabolite biosynthesis, microbial metabolism, amino acid biosynthesis and carbon metabolism of bacterial and archaeal communities in the rhizosphere soil of F. rubra. The effects of endophytic fungi and AMFs on the function and metabolic pathways of symbiotic rhizosphere soil microbial communities were heterogeneous. This study revealed that considering both biotic and abiotic factors is essential for predicting the maintenance of soil ecosystem function by plant-fungal symbionts.

RevDate: 2025-12-31
CmpDate: 2025-12-31

Han D, Zhao R, Yang X, et al (2025)

Comparative Analysis of Environmental and Host-Associated Microbiome in Odorrana schmackeri (Auran: Ranidae): Insights into Tissue-Specific Colonization and Microbial Adaptation.

Microorganisms, 13(12):.

Amphibian microbial communities are known to be shaped by host physiology and environmental factors, yet the relative roles of sexual dimorphism and tissue specialization remain poorly understood. Using 16S rRNA gene sequencing, we compared the gastrointestinal and integumentary microbiomes of a monomorphic Chinese frog population, Odorrana schmackeri, inhabiting identical montane streams. Our results showed distinct phylogenetic stratification between niches: Proteobacteria dominated both environmental microbiota and O. schmackeri gut and skin microbiotas but with differential sub-phylum specialization. The soil microbiota was dominated by unclassified_Vicinamibacteraceae, the water microbiota was Limnohabitans-dominated, the skin microbiota was dominated by Bordetella, and the gut microbiota was led by Acinetobacter. Alpha diversity analysis revealed significant tissue- and environmental-based divergences but no sexual differentiation, a pattern confirmed by beta diversity assessments showing stronger microbial community separation by tissue and environmental compartmentalization than by sex. Functional metagenomic prediction indicated convergent enrichment of metabolic pathways across host-associated and environmental communities. These results suggest that microbial community structure in O. schmackeri is principally governed by tissue-specific ecological selection pressures rather than host sexual characteristics. Our findings enhance understanding of microbiome assembly rules in vertebrate ectotherms and identify potential connections between microbiota in different ecological niches.

RevDate: 2025-12-31
CmpDate: 2025-12-31

Zhang Z, Islam MS, Noman M, et al (2025)

Enhanced Mesophilic Degradation of Rice Straw by Microbial Consortium SXJG15 Through Coordinated Enzymatic Activity and Community Reshaping.

Microorganisms, 13(12):.

The sustainable utilization of rice straw is challenged by its recalcitrant lignocellulosic structure, especially under low-to-moderate field temperatures. In this study, a novel microbial consortium (SXJG15) mainly containing Sphingobacterium, Azospirillum, and Pseudomonas was enriched from overwintering rice stubble in Zhejiang, China, and evaluated for its rice straw degradation efficiency at 25 °C. Over an 18-day cultivation period, SXJG15 achieved a 52.5% degradation of total rice straw, including 60.2% cellulose, 76.3% hemicellulose, and 40.7% lignin. High extracellular enzymatic activities, including cellulases (up to 80.3 U/mL) and xylanases (up to 324.8 U/mL), were observed during the biodegradation process. 16S rRNA gene sequencing and metagenomics analyses revealed a succession of dominant taxa, including Sphingobacterium, Azospirillum, and Cellulomonas. Further, CAZy annotation indicated that the SXJG15 enzyme system was rich in glycoside hydrolases (42.7%) and glycosyltransferases (34.2%), demonstrating its high potential for lignocellulose degradation. This study uniquely demonstrates the mesophilic (moderate temperature 25 °C) efficiency of SXJG15 in lignocellulose breakdown, provides new insights into the microbial mechanisms of straw decomposition, and lays a foundation for bioenergy and soil fertility applications for developing a sustainable agriculture system.

RevDate: 2025-12-31
CmpDate: 2025-12-31

Cui Y, Wang S, Zhao W, et al (2025)

Shared Gut Microbial and Functional Signatures Linking Parkinson's Disease and Type 2 Diabetes Revealed by Function-Anchored Metagenomics.

Microorganisms, 13(12):.

Parkinson's disease (PD) and type 2 diabetes mellitus (T2DM) exhibit increasing comorbidity, yet the shared contribution of gut microbiota remains unclear. To investigate parallel microbial and functional alterations underlying PD, T2DM, and PD with diabetes (PDDM), we performed fecal metagenomic sequencing in 156 PD, 41 T2DM, and 44 PD with diabetes (PDDM) patients and 83 healthy controls (HC). PD and T2DM showed highly concordant microbial shifts, with 22 genera and 91 species consistently altered across disease groups compared with HC. Functional enrichment highlighted common perturbations in taurine and hypotaurine metabolism, retinol metabolism, the hypoxia-inducible factor-1 (HIF-1) pathway, and xenobiotic degradation, implicating disrupted oxidative stress responses, neuro-metabolic regulation, and detoxification. Key taxa, including Limosilactobacillus fermentum, Lactobacillus porci, and Lactobacillus delbrueckii, were increased and showed moderate positive correlations (|ρ| ≥ 0.3) with antioxidant/retinol-HIF-1, taurine-hypotaurine, and xenobiotic degradation pathways. Bifidobacterium breve (unadjusted analysis) was increased in PD and further enriched in PDDM, correlating with multiple beneficial pathways. Bifidobacterium simiarum (covariate-adjusted analyses) showed the broadest positive pathway associations, while selected Bacteroides species (e.g., B. acidifaciens) exhibited negative correlations with insulin-resistance pathways and positive correlations with steroid hormone biosynthesis. By contrast, Butyricimonas vaginalis showed negative correlations with HIF-1 and insulin signaling and with cytochrome P450-related drug metabolism. These findings provide the first systematic evidence of parallel taxonomic and functional dysbiosis in PD and T2DM, supporting gut microbiota as a shared mediator and potential therapeutic target in comorbidity.

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ESP Quick Facts

ESP Origins

In the early 1990's, Robert Robbins was a faculty member at Johns Hopkins, where he directed the informatics core of GDB — the human gene-mapping database of the international human genome project. To share papers with colleagues around the world, he set up a small paper-sharing section on his personal web page. This small project evolved into The Electronic Scholarly Publishing Project.

ESP Support

In 1995, Robbins became the VP/IT of the Fred Hutchinson Cancer Research Center in Seattle, WA. Soon after arriving in Seattle, Robbins secured funding, through the ELSI component of the US Human Genome Project, to create the original ESP.ORG web site, with the formal goal of providing free, world-wide access to the literature of classical genetics.

ESP Rationale

Although the methods of molecular biology can seem almost magical to the uninitiated, the original techniques of classical genetics are readily appreciated by one and all: cross individuals that differ in some inherited trait, collect all of the progeny, score their attributes, and propose mechanisms to explain the patterns of inheritance observed.

ESP Goal

In reading the early works of classical genetics, one is drawn, almost inexorably, into ever more complex models, until molecular explanations begin to seem both necessary and natural. At that point, the tools for understanding genome research are at hand. Assisting readers reach this point was the original goal of The Electronic Scholarly Publishing Project.

ESP Usage

Usage of the site grew rapidly and has remained high. Faculty began to use the site for their assigned readings. Other on-line publishers, ranging from The New York Times to Nature referenced ESP materials in their own publications. Nobel laureates (e.g., Joshua Lederberg) regularly used the site and even wrote to suggest changes and improvements.

ESP Content

When the site began, no journals were making their early content available in digital format. As a result, ESP was obliged to digitize classic literature before it could be made available. For many important papers — such as Mendel's original paper or the first genetic map — ESP had to produce entirely new typeset versions of the works, if they were to be available in a high-quality format.

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Early support from the DOE component of the Human Genome Project was critically important for getting the ESP project on a firm foundation. Since that funding ended (nearly 20 years ago), the project has been operated as a purely volunteer effort. Anyone wishing to assist in these efforts should send an email to Robbins.

ESP Plans

With the development of methods for adding typeset side notes to PDF files, the ESP project now plans to add annotated versions of some classical papers to its holdings. We also plan to add new reference and pedagogical material. We have already started providing regularly updated, comprehensive bibliographies to the ESP.ORG site.

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Papers in Classical Genetics

The ESP began as an effort to share a handful of key papers from the early days of classical genetics. Now the collection has grown to include hundreds of papers, in full-text format.

Digital Books

Along with papers on classical genetics, ESP offers a collection of full-text digital books, including many works by Darwin and even a collection of poetry — Chicago Poems by Carl Sandburg.

Timelines

ESP now offers a large collection of user-selected side-by-side timelines (e.g., all science vs. all other categories, or arts and culture vs. world history), designed to provide a comparative context for appreciating world events.

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Biographical information about many key scientists (e.g., Walter Sutton).

Selected Bibliographies

Bibliographies on several topics of potential interest to the ESP community are automatically maintained and generated on the ESP site.

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