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Bibliography on: Metagenomics

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ESP: PubMed Auto Bibliography 12 May 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: 2026-05-10
CmpDate: 2026-05-10

Guo JX, YZ Gao (2026)

Absolute Quantification of Bacteria in the Microbiome and Its Application.

Methods in molecular biology (Clifton, N.J.), 3033:91-103.

The advent of genomics and deep sequencing technologies has facilitated the development of absolute quantification techniques, which offer researchers more objective and precise sequencing outcomes. Unlike traditional relative quantification methods, which provide comparative data, absolute quantification delivers definitive measurements of genes or taxa. This analytical approach mitigates the potential for extraneous influences when comparing disparate samples, thereby reducing analytical errors. The implementation of absolute quantification techniques enhances our comprehension of microbial community structures, ecological dynamics, and their associations with host health or disease conditions. This chapter emphasizes a straightforward and broadly applicable method for genomic quantification, which necessitates the incorporation of a specified amount of internal standard DNA into the samples, eliminating the need for subsequent adjustments during library construction and sequencing. By assessing the proportion of internal standard DNA across various samples, sequencing data can be transformed into absolute quantification metrics. The internal standard method for absolute quantification is versatile and can be effectively utilized across multiple domains, including disease diagnosis, microbial ecology research, the fermentation industry, and environmental monitoring. Overall, absolute quantification methods furnish a more accurate and holistic perspective for microbiome research.

RevDate: 2026-05-10
CmpDate: 2026-05-10

Xia H, Zhou C, Fu B, et al (2026)

Unlocking Enzyme Discovery: Leveraging Multi-Omics, Machine Learning, and De Novo Design.

Methods in molecular biology (Clifton, N.J.), 3033:117-146.

Enzymes are fundamental protein catalysts essential to life processes and widely applied in industrial and healthcare sectors. However, the broader application of natural enzymes is constrained by their inherent catalytic limitations, and traditional discovery methods such as microbial enrichment are often slow and low-throughput. Driven by advances in multi-omics and artificial intelligence, a range of novel screening strategies has been developed, enabling significant enhancements in both catalytic efficiency and stability of enzymes. This chapter assesses high-throughput approaches, such as metagenomics, metaproteomics, machine learning, and de novo design, comparing their respective advantages and limitations for enzyme discovery. Furthermore, we discuss the application potential of lignocellulose-degrading and plastic-degrading enzymes in biomass conversion and plastic waste recycling.

RevDate: 2026-05-10
CmpDate: 2026-05-10

Peng B, X Chang (2026)

Omics Approaches to Unraveling the Complexity of the Gut-Lung Axis.

Methods in molecular biology (Clifton, N.J.), 3033:147-164.

The complex, bidirectional communication between the gut and the lungs, known as the "gut-lung axis," profoundly influences host immune homeostasis and the pathogenesis of respiratory diseases. In recent years, multi-omics approaches, including metagenomics, metabolomics, and metatranscriptomics, have emerged as the core driving force for unraveling the complexity of this interorgan cross talk network. This review aims to systematically summarize the current omics-based evidence in the field of the gut-lung axis. We highlight key communication mechanisms discovered through multi-omics integration, particularly how gut microbiota-derived metabolites, exemplified by short-chain fatty acids (SCFAs), mediate distal immune regulation. Concurrently, we consolidate omics evidence from the contexts of respiratory infectious diseases, chronic lung disorders, and aging, systematically delineating the impact of gut dysbiosis on pulmonary pathophysiology via the gut-lung axis and emphasizing the feasibility of disease management in patients with lung diseases by modulating the gut microbiota. Although omics technologies have significantly advanced our understanding of this field, the challenge of effectively integrating vast, heterogeneous data and transitioning from "correlation" to "causation" remains a primary hurdle. By reviewing and discussing the current omics evidence in the gut-lung axis, this paper aims to provide new perspectives for future mechanistic explorations and clinical translation strategies.

RevDate: 2026-05-11
CmpDate: 2026-05-11

Sun A, Jin SL, JG Liu (2026)

A practical guide for characterization of novel CRISPR-Cas systems with Pro-CRISPR factors.

Biophysics reports, 12(2):85-99.

The emergence of advanced genome editing technologies has revolutionized research in life sciences, offering an unprecedented way to uncover unknown biological functions and innovative therapeutic strategies. Among all genome editing tools, CRISPR-Cas-based technologies play a pivotal role in this revolution, particularly Class 2 effectors such as Cas9 and Cas12, owing to their high efficacy and ease of programmability. With the advancements in genome sequencing and metagenomics, an increasing number of novel CRISPR-Cas systems have been discovered, including those found in extreme environments and viruses. Furthermore, recent studies have revealed an unexpected role of non-Cas accessory genes, such as the Tn7-like transposon and Pro-CRISPR factors (Pcr), in conferring additional functionalities to the CRISPR system, providing new insights into the understanding of CRISPR-mediated bacterial immunity and advancing the development of genome editing technologies. Therefore, it is essential to develop comprehensive methods for characterizing the Cas proteins and Pro-CRISPR factors with a growing diversity. In this protocol, we provide a method encompassing protein purification, biochemical characterization, validation of protein-protein interactions, and preliminary in vivo functional assays in bacteria for Cas nuclease and its associated Pro-CRISPR factor. We hope this protocol will not only assist in the characterization of the CRISPR-Cas system, but also provide valuable guidance for the characterization of other nucleases or nucleic acid modification systems.

RevDate: 2026-05-11
CmpDate: 2026-05-11

Gao Y, Zhu T, Jiang Y, et al (2026)

Genomic characterization of two duck-origin picornaviruses with seven putative 2A peptides.

Frontiers in veterinary science, 13:1753959.

INTRODUCTION: The Picornaviridae family is a large group of viruses comprising 68 genera. Duck-origin picornaviruses are categorized into four genera, however, the taxonomic status of some recently identified strains remains to be determined.

METHODS: In this study, two virus strains isolated from breeding ducks experiencing reduced egg production were identified and characterized through viral metagenomic analysis.

RESULTS: Two viral strains (NC0246 and PX0394) exhibiting the typical picornavirus-like genomic structure were identified and characterized. Notably, both strains exhibit extended 2A sequences that each possesses seven distinct 2A polypeptides considered rare in Picornaviridae family. Specifically, NC0246 exhibits a deletion of 73 amino acids (aa) in the region corresponding to 2A4-2A5 when compared to PX0394 indicating the genetic diversity of picornaviruses. Homology analysis revealed that the P1 region of NC0246 was most closely related to duck aalivirus A1, with aa identity of 37.37%. Conversely, the P1 region of PX0394 was most closely related to duck egg-reducing syndrome virus (DERSV), with aa identity of 64.44%. Furthermore, the 2C and 3D proteins of NC0246 and PX0394 was most closely related to DERSV. Phylogenetic analyses indicate that NC0246 and PX0394 form a sister clade to DERSV and duck aalivirus A1 and display marked heterogeneity in the P1 protein. While NC0246 and PX0394 branch nearest to DERSV and duck aalivirus A1, duck hepatitis A virus types 1 and 3, sharing secondary homology, occupy a separate lineage.

CONCLUSION: Two picornaviruses were identified and characterized from breeding ducks that exhibited decreased egg production. Through genomic structure and homology analysis, these viruses were most closely related to DERSV and duck aalivirus A1. NC0246, PX0394, and the previously reported DERSV show a close evolutionary relationship with the genus Aalivirus based on genomic and phylogenetic analyses, suggesting a potential affiliation with this genus.

RevDate: 2026-05-11
CmpDate: 2026-05-11

Mayne R, Smith DB, Brown K, et al (2026)

Comprehensive hallmark gene sequence, genomic and structural analysis clarifies new and established taxa within the Picornavirales.

Virus evolution, 12(1):veag023.

The order Picornavirales is a group of highly diverse RNA viruses that includes many pathogens of significance to human and veterinary health, agriculture, and the wider environment. However, the wide range of viruses assigned to the order, together with their genomic variability, and the recent description of numerous 'picorna-like' viruses derived from metagenomic analyses of environmental samples, challenge the established taxonomic classification of members of the order and the criteria for their classification. Here, we combine the existing gold standard, hallmark RNA-directed RNA-polymerase (RdRP) gene sequence-based analysis with helicase sequence-based phylogeny, RdRP structural prediction through the use of ColabFold and Fold Tree, and analysis of coding-complete genomes using GRAViTy-V2, to genetically classify 525 picornaviral genomes and recently described 'picorna-like' viruses. All analyses were conducted with a bespoke, fully automated pipeline for retrieval of genome sequences, domain prediction and extraction, phylogenetic analysis, and output conditioning, which is available as open-source software. Our results reveal broad support for established families as well as for 6 novel families, and 32 new genera. In instances where inconsistencies were found between classification methods, we demonstrate how examination of the pipeline's output may be used to reconcile differences with respect to the genomic features quantified by the analysis. Automated multimodal taxonomic analysis may save significant resources over manual methods and better define demarcation criteria for families and genera.

RevDate: 2026-05-11
CmpDate: 2026-05-11

Zurdo-López M, Sagredo Del Rio M, Cháfer Rudilla M, et al (2026)

Microbiota and Guillain-Barré syndrome: role of microbial metabolites, biomarkers, and emerging therapeutic strategies.

Frontiers in neurology, 17:1815899.

Guillain-Barré syndrome (GBS) is an acute autoimmune polyradiculoneuropathy that follows infection and is characterized by immune-mediated demyelination or axonal injury of the peripheral nervous system. While established triggers such as Campylobacter jejuni are well recognized, increasing evidence implicates the gut microbiota as a key modulator of immune responses relevant to GBS pathogenesis. The intestinal microbiota produces a diverse array of bioactive metabolites, including short-chain fatty acids (SCFAs), tryptophan-derived indoles, and neurotransmitter-like molecules, which influence immune tolerance, gut barrier integrity, and neuroinflammatory signaling. SCFAs, particularly butyrate, exert anti-inflammatory effects and support epithelial and blood-nerve barrier function. Microbial tryptophan metabolites regulate astrocyte and microglial activity via aryl hydrocarbon receptor (AHR) signaling, thereby restraining central and peripheral neuroinflammation. In contrast, dysbiosis-associated metabolites such as lipopolysaccharide (LPS) may enhance systemic inflammation, disrupt immune tolerance, and promote autoantibody production through mechanisms including molecular mimicry. Studies suggest that specific microbial taxa and metabolite signatures may serve as diagnostic or prognostic biomarkers in GBS, offering insights into disease susceptibility and progression. Microbiota-targeted therapeutic strategies are emerging as promising adjuncts to immunotherapy. Probiotics and prebiotics may restore beneficial microbial communities and rebalance immunoregulatory metabolite production, while host-directed metabolic interventions such as creatine supplementation may further support mitochondrial function, immunometabolic homeostasis, and neuroprotection. Fecal microbiota transplantation (FMT), though still experimental in GBS, has shown benefit in related neuroinflammatory disorders by reestablishing eubiosis and dampening immune activation. Future studies integrating metagenomic, metabolomic, and immunologic profiling in well-characterized GBS cohorts are essential to validate these findings and advance personalized microbiota-based interventions.

RevDate: 2026-05-11
CmpDate: 2026-05-11

Marcos S, Odriozola I, Aizpurua O, et al (2026)

Functional gut microbiota dynamics of generalist and specialist bacteria in association with chicken growth.

ISME communications, 6(1):ycag091.

The early-life development of the gut microbiome in broiler chickens is a dynamic ecological process with significant implications for host physiology and productivity. Using 388 genome-resolved metagenomic and 61 metatranscriptomic samples across two replicated trials, we analysed the compositional and functional succession of the caecal microbiome in chickens from hatching to slaughter age. We reconstructed 822 bacterial genomes and distilled gene annotations into comprehensive metabolic traits that captured the functional capacities of each genome. We observed that the increase in microbial diversity with chicken age was accompanied by a decline in community-level average metabolic capacity, driven by a shift from metabolically versatile generalists (Lachnospiraceae) to hitherto uncultured, genome-reduced specialists (RF39, RF32, and UBA1242). However, the specific identity of the dominant genome-reduced specialists varied among individuals, resulting in contrasting associations with host body weight. At slaughter age, only 10 UBA660 (RF39) bacteria were positively associated with body weight, while other genome-reduced lineages, such as UBA1242 (Christensenellales), were among 190 negatively associated bacteria. Gene expression analyses revealed that despite their reduced functional repertoire, UBA660 exhibited greater metabolic activity than UBA1242, particularly in the production of two key metabolites for host nutrition and intestinal homeostasis: the essential amino acid lysine and the signaling molecule indole-3-acetate. These findings provide new insights into the functional ecology of the chicken gut microbiome and highlight the relevance of cultivation approaches to retrieve underexplored and uncultured bacterial taxa, which could open new avenues for microbiome-based strategies aimed at improving poultry growth and health in intensive production systems.

RevDate: 2026-05-11
CmpDate: 2026-05-11

Yergaliyev T, Enokela SO, Eberhardt G, et al (2026)

Toward reproducible pig gut microbiome profiling through standardized methodologies.

ISME communications, 6(1):ycag097.

Reproducible microbiome profiling is essential for linking microbial communities to host health, yet methodological variation continues to undermine reproducibility across studies. This problem is acute in pig microbiome research, where no standardized DNA extraction protocols exist despite the species' importance in agriculture and biomedicine. Here, we benchmark how 12 widely used extraction kits influence microbiome outcomes in 16S rRNA gene amplicon sequencing and shotgun metagenomics of pig fecal samples. We demonstrate that extraction choice biases 16S rRNA gene datasets, affecting DNA yield, diversity, community composition, and spike-in recovery, whereas metagenomic taxonomy and functional profiles are comparatively robust. Kit-dependent recovery of Gram-positive versus Gram-negative taxa revealed systematic biases with direct consequences for biological interpretation. By integrating spike-in controls, taxonomic resolution, and metagenome-assembled genomes, we establish a framework for evaluating DNA extraction methods in animal microbiome research. Our findings demonstrate that 16S rRNA gene amplicon sequencing is more susceptible to extraction-driven artifacts than metagenomics, highlighting the need for standardized protocols to ensure reproducibility and comparability across pig microbiome studies. Moreover, while shotgun metagenomics was comparatively robust to DNA extraction choice, the number of assembled good-quality metagenome-assembled genomes recovered was strongly dependent on the extraction kit selection.

RevDate: 2026-05-11
CmpDate: 2026-05-11

De Chiara L, Doughty R, Estévez-Gómez N, et al (2026)

A comparison of methods for the optimal recovery of the human fecal virome.

ISME communications, 6(1):ycag090.

Human virome research is gaining increasing attention as viruses are recognized as critical modulators of microbial communities and human health. Viral metagenomics, however, faces unique challenges, including the low abundance and diversity of viruses in biological samples, the absence of universal marker genes, and biases introduced by experimental protocols. While various virome protocols have been benchmarked using viral particles or nucleic acids from mock communities, these approaches often fail to capture the complexity and heterogeneity of natural viromes. In this study, we systematically evaluated modifications to key methodological steps in the metagenomic analysis of human fecal samples, including viral enrichment, nucleic acid extraction, genome amplification, and library preparation. Using gold-standard bioinformatic approaches on sequencing datasets generated after amplification, we assessed the impact of these modifications on relative viral taxonomic assignment, contig quality, richness, diversity, and inferred genome structure. Our findings reveal striking trade-offs between recovery of viral genomes and retention of nonviral sequences, demonstrating how methodological choices can shape the inferred virome composition. Based on these observations, we propose an optimized protocol that enhances viral genome recovery while reducing contamination from nonviral sequences. This refined workflow provides a more robust and reliable framework for gut virome studies, paving the way for a deeper exploration of the role of viruses in human health and microbial ecosystems.

RevDate: 2026-05-11

Gudenkauf JC, Wagstaff E, Arneson EJ, et al (2025)

Successful Recovery from Meningoencephalitis Associated with Archetype-like JC Virus in a Lung Transplant Recipient: Case Report and Review of the Literature.

Annals of clinical case reports, 10(1):.

Meningoencephalitis due to JC polyomavirus (JCV) is rare and delays in diagnosis could lead to potentially fatal outcomes in immunosuppressed patients. We present a case of an HIV-negative lung transplant recipient who presented with neurological deficits, including aphasia and right-sided weakness. Brain imaging lacked demyelination usually diagnostic of progressive multifocal leukoencephalopathy (PML), the disease most often associated with JC virus, however cerebrospinal fluid (CSF) metagenomic analysis confirmed a high JC viral load, suggestive of JCV-associated meningoencephalitis. After reducing immunosuppression, the patient showed significant neurological improvement within three months and full recovery by 6 months. The JCV genome sequenced from patient's plasma and CSF were identical and resembled the "nonpathogenic" archetype in the non-coding region but shared homology in the coding region with the classically-considered neurotropic strains detected in those with PML. These findings suggest that mutations in the virus's noncoding region are not necessary for neuropathogenesis. We also review other cases of JCV-associated meningitis and encephalitis, which, in contrast to our case, were all fatal. Clinicians should consider JCV testing in immunosuppressed patients with encephalopathy and focal neurological deficits, even in the absence of significant brain radiographic abnormalities.

RevDate: 2026-05-11
CmpDate: 2026-05-11

Belkina DD, SV Vinogradova (2026)

Plant virome analysis by high-throughput sequencing: concepts and approaches.

Vavilovskii zhurnal genetiki i selektsii, 30(2):311-320.

The metagenomic approach based on high-throughput sequencing is becoming increasingly prevalent for the detection of viral infections in plants. This method allows us to study the species composition of viruses associated with the plant, including novel species, describe their population genetic structure, and develop genetic test systems for routine diagnostics. A metagenomic approach to phytosanitary monitoring can help to determine the cause of unknown plant diseases, which is particularly important for preventing the spread of pathogens, such as viruses. Furthermore, as it is impossible to eliminate plant viruses in field conditions, comprehensive diagnostics using high-throughput sequencing is becoming an effective tool for complying with quarantine regulations on the import of foreign material, as well as for producing high-quality local planting material. High-throughput sequencing is becoming more affordable every year, with both the instrumentation and analytical capacity improving. This review summarizes key approaches to analyzing plant virome using high-throughput sequencing. The analysis process, from sample collection to bioinformatic data processing, validation and interpretation, is described in detail. The features of sequencing platforms and the factors affecting sequencing quality, including contamination, are discussed. Three complementary approaches to processing bioinformatic data are described: mapping reads to reference viral sequences; assembling and annotating contigs; taxonomic classification of reads without assembly. The importance of carefully interpreting the results is emphasized, considering the bioinformatic analysis and the validation by molecular genetic methods. This review will be useful for both researchers and specialists who have no experience with high-throughput sequencing, and those who have used this method for other applications.

RevDate: 2026-05-11
CmpDate: 2026-05-11

Mubaraki FA (2026)

From sequencing to intelligence: how AI is transforming metagenomics.

PeerJ, 14:e21137.

Microbial communities are critical in advancing human health. Metagenomics is a technique that analyzes these communities and allows for investigating their composition and functions. Metagenomic shotgun sequencing enables to capture all of the genetic material in environmental samples, such as water, soil, or the human gut. Despite this advantage, one of the main challenges of this technique is the assembling and interpreting of its data, as it produces many short, fragmented reads. Though long-read technologies may change this in the future, artificial intelligence (AI), machine learning (ML) and data science (DS) offer a powerful solution now, enabling scientists to efficiently process and analyze these large and complex datasets. This review explores the latest advancements in AI and ML applications across the metagenomic pipeline. First, it examines the impact of deep learning (DL) on next-generation sequencing, particularly for long-read technologies. Then, it discusses how ML is automating and improving quality control processes, as well as the use of AI applications in metagenome-assembled genome (MAG) assembly, with a focus on contig binning. Finally, this article looks at how AI and ML can improve predictive modeling for phenotype prediction.

RevDate: 2026-05-11
CmpDate: 2026-05-11

Hua M, Luo J, Li P, et al (2026)

The microbiota-systemic lupus erythematosus axis: mechanisms, diagnostics, and therapeutic frontiers.

Frontiers in immunology, 17:1782828.

Systemic lupus erythematosus (SLE) is a prototypical autoimmune disease in which host-microbiota crosstalk plays a pivotal role in immune dysregulation. Recent metagenomic studies have revealed that disease-specific dysbiosis--characterized by the expansion of pathobionts and depletion of immunoregulatory commensals--occurs across the gut, oral cavity, skin, and genital tract. Integrative multi-omics analyses have identified three mechanistic pathways linking microbial imbalance to autoimmunity: (1) microbial peptides trigger molecular mimicry and epitope spreading, activating autoreactive lymphocytes: (2) microbial metabolites disrupt redox homeostasis, impair epithelial barriers, and skew the AhR-mediated Th17/Treg balance; and (3) dysbiosis alters epigenetic regulation by inhibiting DNA methyltransferases, leading to hypomethylation of SLE-risk genes. Translational studies have shown that microbiome-targeted interventions, including probiotics, prebiotics, fecal microbiota transplantation, and even B cell-depleting chimeric antigen receptor T-cell (CAR-T) therapy, can restore microbial balance, reduce autoantibody levels, and modulate the gut-immune axis. Furthermore, microbial signatures are emerging as potential biomarkers for disease activity and treatment response. Despite this promise, challenges remain, such as the impact of immunosuppressants on the microbiota, spatial heterogeneity in host-microbe interactions, and limitations in causal inference. Looking forward, integrating single-cell metagenomics, microbiota-directed diets, and engineered microbial consortia may pave the way for personalized microbiome-based therapies. Reframing SLE as a "meta-organismal imbalance" positions microbial ecology at the forefront of precision medicine.

RevDate: 2026-05-11
CmpDate: 2026-05-11

Wang Y, Dong W, J Qin (2026)

Fatal AA-like bone marrow failure and invasive pulmonary aspergillosis after long-term pembrolizumab in squamous NSCLC: a case report.

Frontiers in immunology, 17:1800904.

Immune checkpoint inhibitors (ICIs) such as pembrolizumab have substantially improved outcomes in advanced non-small cell lung cancer (NSCLC), including squamous histology, but prolonged exposure may be complicated by immune-related adverse events (irAEs) and opportunistic infections. We report a 58-year-old man with advanced squamous NSCLC who achieved durable tumor control after six cycles of pembrolizumab plus platinum-based chemotherapy, followed by pembrolizumab maintenance monotherapy (18 cycles). During the later course, he developed severe bacterial pneumonia, invasive pulmonary aspergillosis (IPA), and subsequent aplastic anemia (AA)-like bone marrow failure. Despite systemic antifungal therapy and supportive measures, he experienced progressive pancytopenia complicated by massive hemoptysis and ultimately died. This case underscores the dual nature of ICIs: while providing meaningful and sustained antitumor benefit, they may rarely precipitate life-threatening hematologic toxicity and facilitate severe opportunistic infections in a complex immunologic milieu. Close surveillance of blood counts and infectious complications is warranted during long-term ICI therapy; unexplained cytopenias or new/worsening radiologic abnormalities should prompt early bone marrow evaluation and comprehensive microbiologic work-up. Metagenomic next-generation sequencing (mNGS) may offer useful adjunctive evidence in diagnostically challenging infections, particularly when invasive sampling is not feasible, but results should be interpreted in conjunction with clinical and radiologic context within a multidisciplinary framework.

RevDate: 2026-05-11
CmpDate: 2026-05-11

Guo L, Luo X, Luo M, et al (2026)

Diagnosis and treatment of a patient with mediastinal infection caused by Emergomyces orientalis and Mycobacterium fortuitum.

Frontiers in cellular and infection microbiology, 16:1778930.

BACKGROUND: Emergomycosis, an emerging dimorphic fungal infection caused by Emergomyces species, primarily affects immunocompromised individuals. Emergomyces orientalis has been reported in China, including rare cases in immunocompetent individuals. Diagnosis remains challenging due to the lack of typical clinical manifestations and radiological features. Co-infection with other pathogens further complicates management, with no prior global reports of concurrent E. orientalis and non-tuberculous mycobacterial (NTM) infections.

CASE PRESENTATION: A 21-year-old immunocompetent woman with occupational exposure to soil presented with cough, fever, and a mediastinal mass on chest CT. The initial biopsy specimens revealed granulomatous inflammation and yeast-like fungi. Metagenomic next-generation sequencing (mNGS) of endobronchial ultrasound (EBUS)-guided specimens confirmed E. orientalis (40 reads). Liposomal amphotericin B induction therapy initially relieved the symptoms. However, recurrence prompted repeat mNGS, which revealed elevated Mycobacterium fortuitum loads (791 reads). Combined with the patient's history of soil exposure, a diagnosis of mediastinal E. orientalis with M. fortuitum co-infection was established based on the clinical presentation, the chest CT findings, histopathological observations of yeast-like fungi, the mNGS results, and the therapeutic response. Following confirmation of the co-infection, tailored adjustments to the antimicrobial regimen led to successful clinical management.

CONCLUSION: To the best of our knowledge, this is the first study in which E. orientalis and M. fortuitum were documented to coexist in the mediastinum. The dual pathogens were identified through a combination of EBUS-guided biopsy and mNGS. Accurate pathogen identification followed by tailored, pathogen-directed therapy is essential for the effective management of an E. orientalis and M. fortuitum mixed infection.

RevDate: 2026-05-11

Liborio MP, Peri AM, PNA Harris (2026)

Evaluating emerging molecular diagnostics for severe infections in neutropenic patients with hematological malignancies.

Expert review of molecular diagnostics [Epub ahead of print].

INTRODUCTION: Neutropenia significantly increases infection risk in hematologic malignancies patients, when clinical signs are often subtle and fever may be the only indicator. Molecular diagnostic methods promise faster, more sensitive pathogen detection compared to conventional methods, aiming to improve timely and appropriate therapy.

AREAS COVERED: This review summarizes emerging molecular diagnostics for severe infections in neutropenic hematological malignancies patients, focusing on microbiological performance and, where available, clinical impact. We conducted a search in PubMed and Embase using subject headings: 'molecular diagnosis,' 'neutropenic,' 'infections,' 'hematological malignancies,' supplemented by information from manufacturers of commercial assays. The technologies reviewed include multiplex polymerase chain reaction, microarray-based assays, metagenomic and targeted next-generation sequencing, host transcriptomics, and methods for diagnosing invasive fungal infections. For each, we describe key characteristics, diagnostic performance, and clinical utility when reported.

EXPERT OPINION: Emerging molecular diagnostics shorten time to pathogen and resistance identification and broaden detection of organisms in febrile neutropenic patients with hematological malignancies. These methods are best integrated as complements to culture-based methods within centers with antimicrobial stewardship programs, where they inform earlier targeted therapy and rational de-escalation of antimicrobials. Priority actions include prospective trials powered for measuring clinical outcomes and economic endpoints, with standardized workflows, reporting, and quality assurance to enable clinical implementation.

RevDate: 2026-05-11
CmpDate: 2026-05-11

Ji G, J Duan (2026)

Pharmacist-driven optimization of presumptive psittacosis management: a case report of rapid clinical resolution.

Journal of infection in developing countries, 20(4):596-600.

INTRODUCTION: Chlamydia psittaci has a high incidence of pneumonia after infection, but clinical diagnosis still faces challenges due to the lack of specific clinical manifestations and low positive rates in routine testing.

CASE PRESENTATION: A 60-year-old female patient with community-acquired pneumonia (CAP) failed to respond to initial intravenous antimicrobial therapy with cefmetazole/ciprofloxacin followed by piperacillin-tazobactam/levofloxacin, exhibiting persistent fever and worsening symptoms. Serial laboratory testing revealed progressive elevation of inflammatory markers, with C-reactive protein (CRP) rising from 110.2 to 120.9 mg/L and procalcitonin (PCT) from 1.37 to 2.15 ng/mL. Essential bronchoscopic examination and metagenomic next-generation sequencing (mNGS) could not be performed due to patient refusal, creating a diagnostic deadlock. The clinical pharmacist identified avian exposure during medication rounds, enabling presumptive diagnosis of psittacosis. Immediate pharmacist-initiated interventions included discontinuation of levofloxacin and commencement of targeted oral minocycline therapy. Clinical resolution occurred within 48 hours with defervescence and symptomatic improvement. Subsequent minocycline-induced nausea and diarrhea were effectively managed through pharmacist-instructed co-administration with food. Continuous clinical improvement facilitated discharge on oral minocycline, with follow-up imaging confirming complete resolution of pulmonary infiltrates.

CONCLUSIONS: This case underscores the value of pharmacist-led pharmaceutical assessment in uncovering atypical infection etiologies and guiding targeted antimicrobial therapy.

RevDate: 2026-05-11

Wei X, Song W, S Li (2026)

Seasonal variations drive microbial community structure and nitrogen cycling in sediments of tributary pumping station forebays.

Microbiology spectrum [Epub ahead of print].

Discharge from tributary pumping stations often impacts mainstream water quality, yet microbial communities and nitrogen metabolism in pumping station forebays remain poorly understood. Therefore, this study investigated the microbial community structure and nitrogen cycling mechanisms in sediments of tributary pumping station forebays within the Qinhuai River Basin using 16S rRNA and metagenomic sequencing. Results showed significant seasonal variations in the diversity and structure of sediment microbial communities, with higher diversity in spring than in winter. Genes associated with denitrification (e.g., narG, nirS, and nosZ) showed the highest abundance, suggesting that denitrification may be a key nitrogen transformation pathway. Co-occurrence network analysis revealed tighter associations between microbial taxa and nitrogen-cycling genes in spring, indicating more complex potential interactions during this season. The shift of network hubs across seasons suggested a seasonal succession of potential core functions related to nitrogen cycling. Redundancy analysis revealed that nitrate nitrogen (NO3[-]-N), water temperature (WT), and ammonium nitrogen (NH4[+]-N) were the factors most strongly associated with microbial community variation, with WT showing the strongest association with functional gene distribution. Partial least squares path modeling revealed that seasonal variation had a significant positive association with denitrification gene abundance and a significant negative association with genes related to assimilatory nitrate reduction to ammonium and anaerobic ammonium oxidation. These findings improve our understanding of microbially mediated nitrogen cycling in pumping station forebays and provide a scientific basis for water quality management in river networks influenced by pumping station drainage.IMPORTANCEThis study is important because it reveals that pumping stations, which are key infrastructure in managed river systems, are not just hydraulic structures but dynamic bioreactors where microbial communities actively transform nitrogen. By demonstrating seasonal variations in microbial diversity and revealing a high denitrification potential, the research provides a mechanistic understanding of how nitrogen pollution is naturally mitigated in these engineered environments. Crucially, it pinpoints temperature as a primary regulator of these microbial functions. These insights allow water managers to proactively optimize pumping operations and design interventions that harness microbial activity, ultimately protecting downstream water quality from nutrient pollution in a changing climate.

RevDate: 2026-05-11

Sorokin DY, Khot V, Merkel AY, et al (2026)

Physiology, functional genomics, and proteomics of Verruconatronum alginivorum gen. nov., sp. nov., the first isolated haloalkaliphile within Verrucomicrobiota, representing a new family, Verruconatronumaceae fam. nov.

Applied and environmental microbiology [Epub ahead of print].

Despite the successful cultivation of many microbes from rich bacterial communities inhabiting alkaline soda lakes, members of the bacterial phylum Verrucomicrobiota have so far been detected only through metagenomics. Here, we used alginate as a selective substrate to enrich and isolate two strains of haloalkaliphilic Verrucomicrobiota. The isolates share identical 16S rRNA gene sequences representing a new genus lineage, and, together with other metagenome assembled genomes, a new family within Opitutales. Cells of strains AB-alg1[T] (from soda lakes) and AB-alg4 (from soda solonchak soils) are small and motile cocci forming submerged colonies in soft alginate agar. They are saccharolytic heterotrophs growing aerobically on polysaccharides (alginate, starch, and inulin) and sugars (glucose, fructose, mannose, sucrose, melezitose, maltose, and cellobiose). They also grow anaerobically by fermentation of alginate and D-mannose and by coupling incomplete denitrification to oxidation of alginate. Both isolates are obligately alkaliphilic and moderately salt-tolerant. The dominant membrane phospholipids include phosphatidylcholines and diphosphatidylglycerols (cardiolipins). The genome of AB-alg1[T] features polysaccharide lyases of the PL6, 7, 15, 17, 38, and 39 families for depolymerization of alginate. Based on distinct phenotype and phylogeny, we propose classification of strains AB-alg1[T] (JCM 35393[T]=UQM 41574[T]) and AB-alg4 as Verruconatronum alginivorum gen. nov., sp. nov. within a new family Verruconatronumaceae.IMPORTANCEAlkaline soda lakes and soils are extreme habitats dominated by obligate haloalkaliphic prokaryotes, some of which can produce alkali- and salt-stable polysaccharide-degrading exoenzymes useful for industrial and domestic applications. However, so far, little was known about the microbial potential for mineralization of acidic polysaccharides, such as alginate, in these habitats. The described isolates are the first representatives of a new family within the phylum Verrucomicrobiota specializing in the degradation of alginate and related polysaccharides. We present the key enzymatic machinery for alginate breakdown. These enzymes are high-pH tolerant and have potential for industry applications, for example, in washing powders and biomass waste recycling. Furthermore, the new family is one of the most abundant taxa in alkaline environments, and these environments are not known to harbor signature alginate producing biota, such as brown algae. This way, our study opens a new window on polysaccharide turnover in alkaline environments.

RevDate: 2026-05-11
CmpDate: 2026-05-11

Krupovic M, EV Koonin (2026)

Organization and evolution of the virosphere and the replicator space.

Comptes rendus biologies, 349:35-75.

Viruses are obligate symbionts of cellular life forms that can replicate only within host cells and typically form virions (virus particles) to spread among host organisms. Virions numerically dominate the biosphere, exceeding the number of cells several-fold, and also comprise the main reservoir of genetic diversity on earth. Nearly all organisms host multiple, diverse viruses. Unlike cellular organisms, viruses have genomes (genetic information carriers incorporated into virions) that consist of all forms of RNA and DNA, suggesting an evolutionary connection between extant viruses and the primordial replicator pool. Lately, extensive mining of metagenomes and metatranscriptomes has dramatically expanded the world of viruses (virosphere), revealing an unsuspected and unprecedented diversity. Viruses share no universal genes and have multiple origins. However, about 15 viral hallmark genes each bring together multiple, diverse groups of viruses, and many other genes are shared within such groups. Evolution of viruses is inextricably intertwined with the evolution of their hosts. A key aspect of virus-host coevolution is the arms race resulting in accelerated evolution on both sides, especially of host defenses and viral counter-defenses. A complementary, prominent feature of this coevolution is exaptation, whereby viral genes are coopted by the hosts for antiviral defense and other roles, and conversely, viruses capture host genes for diverse functions in virus replication, virion morphogenesis and virus-host interaction. In this review, we attempt a synthesis of the current understanding of the global organization of the virosphere, the major trends and events in the evolution of viruses, and the high-level taxonomy of viruses.

RevDate: 2026-05-11

Cortez-Cervantes J, Carrillo-Reyes J, Cervantes-Avilés P, et al (2026)

A statistical framework for identifying microbial indicators of ammonia-induced process instability in food waste anaerobic digestion.

Bioprocess and biosystems engineering [Epub ahead of print].

Ammonia is an essential nutrient for anaerobic digestion (AD) but becomes inhibitory at elevated concentrations, leading to process instability. Although numerous microbial taxa and functional genes have been proposed as indicators of ammonia stress, most lack systematic validation across defined inhibitory thresholds. In this study, batch anaerobic digestion assays were conducted under increasing total ammonia nitrogen concentrations to experimentally characterize ammonia-induced inhibition. Methane yields obtained from batch tests were fitted using a Hill model to define non-inhibitory, inhibitory, and minimum inhibitory ammonia levels. Shotgun metagenomic sequencing was applied to samples representative of each inhibition level, and a statistical framework integrating differential abundance analysis, network topology, redundancy analysis, and metabolic relevance was used to identify robust microbial indicators. Key taxa, including Anaerolinea, Methanomassiliicoccus, and Syntrophobacter, along with functional genes involved in acetate and propionate metabolism (e.g., acs and fhs), showed consistent and threshold-dependent responses to ammonia stress. These microbial indicators provide mechanistic insight into ammonia-induced AD instability and offer a promising basis for early-warning monitoring and microbial management strategies to improve the operational stability of anaerobic digesters treating food waste.

RevDate: 2026-05-11

Bhattacharjee A, AK Singh (2026)

Ecological and genomic insights into Bacillus altitudinis as a potential indicator of resistance genes in soil antimicrobial resistance pools.

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

Soil associated with intensive poultry farming serves as a seminal reservoir of antimicrobial resistance genes. This study employed an integrated approach that combined metagenomics, phenotypic analysis, and whole-genome sequencing to investigate the soil resistome of poultry farms in the Jorhat district, Northeast India, and to evaluate Bacillus altitudinis as an environmental potential indicator for antimicrobial resistance. Metagenomic analysis of poultry-affected soil revealed a diverse array of resistance genes, including 753 unique resistance ontologies related to β-lactam, glycopeptide, macrolide, aminoglycoside, chloramphenicol, and colistin resistance. Culture-based testing of soil and fecal isolates (400 isolates) showed high resistance rates to colistin and ciprofloxacin (~60%), as well as notable resistance to erythromycin and kanamycin, indicating strong antibiotic selection pressures in these ecosystems. Among multidrug-resistant strains, B. altitudinis S2 was particularly notable, exhibiting high minimum inhibitory concentrations for last-line antibiotics such as vancomycin (>50 µg/mL), colistin (>50 µg/mL), and fourth-generation cephalosporins. It also demonstrated multidrug β-lactam resistance supported by synergistic inhibitors. Whole-genome sequencing (3.7 Mb) uncovered a complex antimicrobial resistance gene (ARG) profile, including vanZ, mcr-1, catA, mph, aph, and oxa-type β-lactamase genes, alongside multiple SMR, MATE, and RND efflux mechanisms. Many of these genes were located within genomic islands, prophage traces, and mobile genetic elements, strongly indicating horizontal gene transfer from various bacteria, including gut-associated enterococci. The genome also contained genes for resistance to heavy metals and oxidative stress, suggesting co-selection processes that sustain ARGs in soil. The study tries to show B. altitudinis as a crucial environmental indicator for ARGs, serving a genetic bridge between poultry gut microbiota and soil antimicrobial resistance pools, highlighting its significance for One Health antimicrobial resistance surveillance.

RevDate: 2026-05-11
CmpDate: 2026-05-11

Mussa AJ, Ruboha JO, Kabota SA, et al (2026)

Elevation and land use shape soil entomopathogenic fungal communities in the Uluguru mountains, Tanzania: Insights from metagenomic and culture-based approaches.

PloS one, 21(5):e0348781 pii:PONE-D-25-54696.

BACKGROUND: Soil-borne entomopathogenic fungi (EPFs) support ecological regulation of pests, yet their distribution across tropical mountain agroecosystems is poorly characterized. The study conducted between April and December 2024, evaluated diversity and distribution of soil EPF along the Uluguru Mountains slopes in Morogoro, Tanzania.

METHODS: Twenty-four soil samples were collected from cultivated and fallow soils at low (518 m), medium (1100 m), and high (1700 m) elevations on the Uluguru slopes (Morogoro, Tanzania). Amplicon sequencing of the ITS region profiled fungal communities, and selective isolation with ITS barcoding confirmed cultivable taxa. Diversity indices, Bray-Curtis dissimilarity, Principal Coordinate Analysis (PCoA), and PERMANOVA evaluated patterns across elevation and land use.

RESULTS: Fourteen EPF species in 12 genera were detected, dominated by Ophiocordycipitaceae (56.1%) and Clavicipitaceae (37.8%). Purpureocillium lilacinum, Metarhizium anisopliae, Clonostachys rosea, and Pochonia chlamydosporia were widespread. Cultivated soils at medium- and high elevations showed greater richness and diversity (1.37 and 1.57) than fallows (0.64 and 0.48) respectively, while high-altitude fallows were strongly dominated by Metapochonia suchlasporia. Community composition clustered by land use, with elevation as a secondary driver (PERMANOVA p = 0.06). Selected P. lilacinum and C. rosea species caused 10-50% mortality of Spodoptera frugiperda larvae in preliminary laboratory assays.

CONCLUSIONS: Elevation and land use jointly structure EPF communities in the Uluguru Mountains. Some taxa showed preliminary pathogenicity in laboratory assays, indicating potential for future evaluation as biological control agents in smallholder farming systems. Public deposition of sequencing reads will facilitate reuse and benchmarking.

RevDate: 2026-05-11

Cai Y, Wei Y, Du G, et al (2026)

Identification and genetic characterization of a distinct genotype of Puumala orthohantavirus in Hebei Province, China.

PLoS neglected tropical diseases, 20(5):e0014250 pii:PNTD-D-25-01848 [Epub ahead of print].

Orthohantavirus infections pose a significant threat to human health, while numerous orthohantaviruses have been identified, suspected viral infections remain undiagnosed in the world, which highlights the need for further identification and characterization of viruses circulating in humans and host animals. In this study, viral metagenomics was utilized to investigate orthohantaviruses present in tissue samples collected from rodents trapped at the Bashang Grassland of Hebei Province, China. A total of 145 wild rodents belonging to six species were captured in the study area, and 725 tissue samples (lung, liver, kidney, spleen, gut) were collected in 2024. A Puumala orthohantavirus (PUUV), named Guyuan strain, was identified in Myodes rufocanus, with a positive rate of 0.69%. The complete genomic sequences of the L, M, and S segments were obtained and confirmed by Sanger sequencing. Phylogenetic analysis of these genomic sequences with those of other orthohantavirus species showed that the L, M, and S segments clustered with PUUV genomic sequences, while sharing a nucleotide sequence similarity of 81.2%, 80.2%, and 84.3% with previously characterized reference viral strains Kitahiyama128L, Tobetsu_04, and Baltic/205 Cg, respectively. Amino acid homology analysis demonstrated that the sequences exhibited the highest identity to PUUV Hokkaido strain at a level of 95.4%, 94.6%, and 97.0% respectively. Viral particles were observed in lung and kidney tissues using transmission electron microscopy, and viral protein antigen was detected in viral RNA-positive lung, liver, and kidney tissues through immunofluorescence assay with antibodies against the PUUV nucleocapsid protein, thereby confirming the virus's multiorgan tropism. The results demonstrated that a distinct genotype of PUUV was circulating in rodents in the study areas, which may have implications for zoonotic transmission surveillance and public health management in Hebei Province.

RevDate: 2026-05-11

Que H, Jiang X, Wu X, et al (2026)

Construction of a "three-stage and four-level" evaluation system for cerebrospinal fluid pathogens based on mNGS: insights from a case of co-detection of Cryptococcus and Epstein-barr virus.

Diagnostic microbiology and infectious disease, 116(1):117457 pii:S0732-8893(26)00207-5 [Epub ahead of print].

BACKGROUND: Metagenomic next-generation sequencing (mNGS) of cerebrospinal fluid (CSF) has brought about a revolutionary change in the diagnosis of central nervous system (CNS) infections. Nevertheless, the interpretation of results with multiple detected pathogens still poses a substantial clinical challenge.

AIM: A preliminary exploration of the application value of the developed "Three-Stage, Four-Level" assessment system in interpreting mNGS cerebrospinal fluid test reports.

METHODS: Based on a systematic review of relevant domestic and international literature, combined with practical experience in the field, a multi-dimensional "Three-Stage, Four-Level" evaluation system centered on a clinical-microbiological evidence chain was constructed. This study explores the application value of the system through a case of mNGS detection for co-preservation of Cryptococcus and Epstein-Barr virus (EBV) in cerebrospinal fluid (CSF).

RESULTS: The system effectively integrated multi-source information, facilitating a precise and stratified interpretation of CSF mNGS results. It successfully differentiated Cryptococcus as the pathogenic agent and EBV as a latent pathogen. Consequently, early antifungal therapy was initiated, resulting in a gradual improvement of symptoms and a favorable prognosis.

CONCLUSION: This case initially demonstrates that the "Three-Stage,Four-Level "evaluation system provides a standardized and operational framework for interpreting mNGS cerebrospinal fluid multiplex pathogen detection results, showing preliminary value in precisely distinguishing pathogen types; however, further validation with larger sample sizes is warranted.

RevDate: 2026-05-11

Li X, Cheng S, Wang X, et al (2026)

Intrinsic waste component synergy: calcium-rich eggshell waste modulates fungal-bacterial microbiome toward selectively medium-chain fatty acid production.

Bioresource technology pii:S0960-8524(26)00877-1 [Epub ahead of print].

The valorization of waste streams into medium-chain fatty acids (MCFAs) through fungi-bacteria synergy is often hindered by substrate competition and distinct ecological niches. This study demonstrates that eggshell waste acts as a bioregulator to optimize this interaction for caproate production. At a 20 g/L dosage, eggshells facilitated high caproate production (22.3 ± 1.3 gCOD/L) driven by in-situ ethanol supply (11.3 ± 1.9 gCOD/L). The amendment established stable micro-niches, significantly enriching yeasts (Wickerhamomyces, Candida, and Issatchenkia, 69.2%) and chain-elongating bacteria (CEB, Caproiciproducens, and Clostridium_sensu_stricto_12, 10.2%), while metagenomics confirmed upregulated glycolysis and reverse β-oxidation pathways. Additionally, yeast synergy with CEB via ethanol cross-feeding in a sugar-rich environment can be disrupted under the sugar-depleted phase. The coculture experiments unveiled that 8 g/L Ca[2+] alleviates fungi-bacteria conflict and promotes CEB functionality. This study presents a waste valorization strategy, leveraging intrinsic waste synergies to optimize fungal-bacterial interactions and drive endogenous ethanol-based caproate production.

RevDate: 2026-05-11

Zou G, Zou N, Tang Y, et al (2026)

Tire wear particles induce a functional trade-off in bioretention systems: Coupled effects on nitrogen removal and greenhouse gas emissions.

Environmental research pii:S0013-9351(26)01053-4 [Epub ahead of print].

Bioretention systems are widely adopted nature-based solutions (NbS) for mitigating urban stormwater pollution, yet their long-term functional stability is increasingly undermined by the accumulation of tire wear particles (TWPs). This study moves beyond descriptive performance assessment to investigate the underlying biogeochemical mechanisms governing the response of bioretention media to dynamic TWP stress (0, 1, 10, and 100 mg L[-1]). Our results reveal a sophisticated functional trade-off induced by TWPs: although nitrogen removal efficiency was significantly compromised-with NH4[+]-N and total nitrogen (TN) removal rates decreasing by up to 14.64% and 11.02%, respectively-the system's net global warming potential was concurrently mitigated, achieving a 7.41-61.26% reduction in CO2-equivalent emissions. Mechanistically, partial least squares path modeling (PLS-PM) identified that TWPs trigger a metabolic bottleneck in the nitrogen cycle. The accumulation of TWPs significantly inhibited hydroxylamine oxidoreductase (HAO) and hydroxylamine reductase (HyR) activities (path coefficient: -0.742, p<0.01) and suppressed the abundance of nitrifying bacteria (e.g., Nitrospira). Crucially, metagenomic insights demonstrated that TWPs redirected the nitrogen flux by upregulating the nrfA gene, thereby facilitating dissimilatory nitrate reduction to ammonium (DNRA) as an alternative pathway. These findings demonstrate that high TWP levels impair nitrogen removal through multi-interface synergy, highlighting potential ecological risks. This study provides a novel predictive framework for managing emerging microplastic pollutants in green infrastructure, offering actionable insights for optimizing the multifunctional ecosystem services of urban NbS under anthropogenic stress.

RevDate: 2026-05-11

Yang J, Zhang Z, Li G, et al (2026)

Virus-associated immune dysregulation presenting as facial granulomatous dermatitis in DiGeorge syndrome: a case series.

International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases pii:S1201-9712(26)00411-X [Epub ahead of print].

Chronic granulomatous dermatitis in children with inborn errors of immunity poses diagnostic challenges, particularly when persistent viral detection coexists with impaired T-cell surveillance. We report two children with 22q11.2 deletion syndrome who developed chronic facial granulomatous dermatitis in the setting of T-cell immunodeficiency and EBV detection. Both patients had persistent facial plaques refractory to conventional antimicrobial or anti-inflammatory treatment, elevated EBV DNA in blood and/or mucosal samples, and granulomatous lymphohistiocytic infiltrates on skin biopsy. Tissue mNGS identified EBV in lesional specimens. In patient 1, EBER positivity and a restricted/skewed TRB repertoire provided stronger support for local EBV-associated immune dysregulation. In patient 2, EBV was detected by mNGS, but EBER staining was negative, additional microorganisms were identified, and TRB findings were more consistent with reactive or oligoclonal expansion, making causal attribution less certain. Rubella virus-associated granuloma, a key differential diagnosis in immunodeficient children, was not supported by lesion-directed testing. These cases highlight chronic granulomatous dermatitis as a possible manifestation of virus-associated immune dysregulation in DiGeorge syndrome and emphasize that mNGS results require careful integration with tissue localization, histopathology, clonality assessment, and immune context.

RevDate: 2026-05-11

Zhang D, Yan Z, Liang J, et al (2026)

Uranium-induced differentiation in metabolic responses and functional potential of nitrogen-cycling microorganisms across different soil types.

Environmental pollution (Barking, Essex : 1987) pii:S0269-7491(26)00687-1 [Epub ahead of print].

Uranium (U) contamination poses a severe ecological risk by disrupting key biogenic element cycles, particularly nitrogen (N) transformation. However, the extent to which intrinsic soil heterogeneity shapes the functional adaptation of N cycling microorganisms to U stress remains poorly understood. This study investigated soil microcosms with metagenomic analysis to unravel the structural and functional differentiation of N cycling communities across forest (FT), grassland (GL), and farmland (FL) soils. Our results indicated that U contamination exerted significant selective pressure, leading to distinct functional differentiation in N cycling processes (R[2] = 0.56) which was primarily shaped by land-use legacy (R[2] = 0.62). Driven by this U-induced pressure, the three soils diverged into unique N cycling adaptive strategies. Specifically, U stress shifted the FT towards a strategy of energetic autonomy, enriching robust nitrate reduction coupled with a metabolic repertoire associated with U(VI) resistance and transformation potential. In the GL, U exposure shaped a complex, self-sustaining co-occurrence network associated with potential functional stability, characterized by cross-pathway complementation among N fixation, nitrification, and anammox. Conversely, U contamination drove the FL into a maladaptive simplification, where the reduction of functional redundancy and the dominance of a single nitrification pathway led to heightened vulnerability. Collectively, this study demonstrates that U stress acts as a selective filter that amplifies pre-existing soil driven discrepancies, driving soil microbial communities onto distinct functional potential trajectories. These findings emphasize the necessity of developing differentiated risk management strategies based on the specific N cycling resilience of various soil types.

RevDate: 2026-05-09

Luo X, Lei Z, Fang D, et al (2026)

Integrated multi-omics decipher the complex nodule microbiota and distinct Frankiaceae symbiotic traits in wild actinorhizal plants.

The New phytologist [Epub ahead of print].

Actinorhizal plants are ecologically important pioneer species in temperate regions, capable of nitrogen-fixing root nodule symbiosis with Frankiaceae bacteria. Despite their significance within the nitrogen-fixing clades (NFC), multi-omics studies of actinorhizal symbiosis remain scarce. We profiled prokaryotic communities in the rhizosphere, root, and/or nodule compartments from five phylogenetically representative actinorhizal species, three legumes, and four nonnodulated NFC species using 16S rDNA sequencing. Transcriptomic and metagenomic analyses were performed on actinorhizal roots and nodules, respectively. Metagenome-assembled genomes revealed four novel Frankiaceae species. Frankiae relative abundance levels in nodules were generally lower than rhizobia in legumes. Actinorhizal nodules harbour diverse bacterial taxa, which exhibit predominantly positive interactions, with Frankiae forming a tightly interacting subgroup. Actinorhizal plants engage actively with soil microbiota, recruiting a specific rhizosphere community enriched with beneficial microbes, including ammonia-oxidising archaea. Many symbiotic mechanisms in nodulating host plants are conserved and derived from pre-existing molecular modules. Our analysis suggests the phosphoinositide signalling likely functions in actinorhizal symbiotic signal transduction. However, Frankiae exhibit fundamentally different symbiotic functional characteristics compared to rhizobia, reflecting less intimate symbiosis, which might favour the life-history strategies of temperate perennial actinorhizal plants.

RevDate: 2026-05-09
CmpDate: 2026-05-09

Ii C JF, Vidal MJS, Dela Cruz FSE, et al (2026)

The Microbiome Signature of the Placenta and its Role in Spontaneous Preterm Birth: A Systematic Review and 16S rRNA Re-Analysis.

American journal of reproductive immunology (New York, N.Y. : 1989), 95(5):e70246.

PROBLEM: The advent of high-throughput 16S rRNA sequencing has enabled deeper insights into microbial communities associated with adverse pregnancy outcomes, including spontaneous preterm birth (sPTB). While microbial dysbiosis in the cervicovaginal and oral-gut microbiomes has been implicated in sPTB, the existence of a placental microbiome remains contentious. Traditional paradigms of a "sterile womb" have been challenged by studies suggesting a low-biomass microbial community in the placenta, though recent evidence disputes this claim, attributing findings to contamination or transient microbial DNA signals.

METHOD: This study systematically reviewed placental microbiome studies employing 16S rRNA sequencing and re-analyzed publicly available datasets to determine microbial signatures in term and preterm placentas. Following a comprehensive search of three databases and stringent inclusion criteria, seven studies were included. The risk of bias was assessed using a modified Joanna-Briggs tool, revealing moderate-to-low risk across studies. Methodological heterogeneity, including differences in contamination controls, sequencing regions, and analytical platforms, was a significant limitation.

RESULTS: A re-analysis of sequencing data showed no consistent microbiome signature distinguishing the term from preterm placentas. Beta diversity analysis revealed no group clustering, while alpha diversity indices showed comparable species richness. Bacterial DNA in placental tissues was primarily attributed to contamination from the urogenital tract or laboratory processes.

CONCLUSION: Findings underscore the importance of robust contamination control and standardized protocols in low-biomass microbiome research. Future studies should employ advanced techniques, such as metagenomics and fluorescence in situ hybridization, to evaluate the functional relevance of microbial communities in the placenta, as well as rule out microbial DNA deposited in the placenta through circulating bacterial extracellular vesicles (EVs).

RevDate: 2026-05-09
CmpDate: 2026-05-09

Yang KL, Zhai JN, Ye JW, et al (2026)

Dysbiosis of Gut Archaea is Associated with Obesity and Could be Recovered after Bariatric Surgery.

Biomedical and environmental sciences : BES, 39(4):437-446.

OBJECTIVE: Obesity is closely associated with an altered gut microbiota; however, the role of archaea in obesity remains unknown. We aimed to delineate the alterations in gut archaea in obese subjects and explore the changes in bariatric surgery-associated gut archaeal composition.

METHODS: Metagenomic sequencing data from 191 obese subjects and 184 lean controls were retrieved from three public cohorts. Of these, 23 obese patients who underwent bariatric surgery were followed up for 3 months.

RESULTS: The gut archaea of obese subjects showed significantly lower Shannon diversity index than those of lean controls. Principal component analysis of the gut archaea revealed distinct clusters in obese subjects and lean controls. A model using the 20 top archaeal genera discriminated obese from lean controls with an area under the receiver operating characteristic curve (AUC) of 0.79, 0.83, and 0.86 in three cohorts. Ecological analysis showed decreased trans-kingdom correlations between archaea and bacteria in obese subjects compared to those in lean controls, with partial restoration observed after bariatric surgery.

CONCLUSION: This is the first study to demonstrate that obesity is characterized by gut archaeal dysbiosis across multiple cohorts. Bariatric surgery-induced weight loss is associated with significant changes in the gut archaea.

RevDate: 2026-05-09

Kang X, Hu L, Song J, et al (2026)

Snake Gut Microbiota as a Source of Anti-Inflammatory Probiotics: Isolation and Functional Characterization of Two Novel Strains.

Integrative zoology [Epub ahead of print].

The intestinal microbiome is fundamental to host physiological homeostasis, while deviations from its balanced state have been linked to inflammatory bowel diseases (IBD). To address the limitations of conventional antibiotic therapies, this study explored snake gut microbiota as a novel source of anti-inflammatory probiotics. We explored the gut microbiota of five snake species (Deinagkistrodon acutus, Trimerodytes annularis, Trimerodytes percarinatus, Lycodon rufozonatus, and Trimeresurus stejnegeri) through metagenomic sequencing. Community composition analysis revealed that the phylum-level composition was mainly Proteobacteria, Bacteroidetes, Actinomycetota, and Firmicutes. We further detected some potential probiotic species, such as Enterococcus, Lactobacillus, and Limosilactobacillus. From 196 isolated strains, Lactobacillus johnsonii DA0116 and Limosilactobacillus reuteri DA0218 were selected through rigorous safety and functional assessments, including acid/bile tolerance, pathogen inhibition, and adhesion capacity. In a DSS-induced murine colitis model, both strains significantly reduced disease activity index (DAI), pro-inflammatory cytokines (TNF-α, IL-6, and IL-8), and restored gut microbiota diversity. Additionally, whole-genome analysis identified bacteriocin synthesis clusters (gassericin-S/T) and carbohydrate metabolism genes, explaining their antimicrobial and immunomodulatory properties. This study not only emphasizes the untapped latent value of reptilian gut microbiota for probiotic discovery but also provides two candidate strains with therapeutic promise for IBD and functional food applications.

RevDate: 2026-05-09

Minich JJ (2026)

Protocol for high-throughput processing of fecal samples for long-read metagenomic sequencing using PacBio HiFi or Oxford Nanopore Technologies.

STAR protocols, 7(2):104526 pii:S2666-1667(26)00179-6 [Epub ahead of print].

Long-read sequencing, whether using PacBio (PB) or Oxford Nanopore Technologies (ONT), requires high-molecular-weight (HMW) DNA at high purity and free of contaminants. Here, we present a protocol for high-throughput processing of fecal samples for long-read metagenomic sequencing. We describe steps for microbial inactivation, nucleic acid stabilization, and HMW DNA extraction. We then detail procedures for DNA cleanup, shearing, library preparation, and DNA sequencing. For complete details on the use and execution of this protocol, please refer to Minich et al.[1].

RevDate: 2026-05-09

Li T, Feng K, Wang S, et al (2026)

Integrating digital PCR and metagenomics to quantify potential soilborne bacterial pathogens in urban ecosystem.

Journal of hazardous materials, 512:142312 pii:S0304-3894(26)01290-2 [Epub ahead of print].

Understanding the environmental occurrence patterns of soilborne pathogens is essential for public health, yet a comprehensive and accurate assessment remains challenging. This study presents an innovative technical framework integrating metagenomic pathogen screening with quantitative validation using chip-based digital PCR (dPCR) targeting the overall bacteria community as well as three dominant species-Ralstonia pickettii, Saccharomonospora viridis, and Gordonia terrae. This approach enabled a comprehensive quantification of potential human-, plant-, and zoonotic pathogens and elucidation of their environmental drivers across urban soil habitats in Beijing. Farmland and hospital greenspaces exhibited higher potential pathogen richness (15.55 ± 5.87 and 10.70 ± 4.52) and abundance (22,475.52 ± 15,559.92 and 26,217.62 ± 19,299.90 copies g[-1] soil) compared with forests and campus greenspaces. The composition of potential pathogens varied among habitats, with farmlands containing the highest number of unique species, and four taxa were detected across all habitats, showing strong adaptive capacity. Pathogen diversity was positively correlated with total and available phosphorus and with total bacterial α- and β-diversity, while negatively associated with soil organic carbon, reflecting limited pathogen inputs in carbon-rich forest soils and the key role of phosphorus in pathogen enrichment. Climatic and soil physicochemical factors indirectly influenced pathogen diversity by modulating bacterial communities, whereas human activities directly increased pathogen abundance. Molecular ecological network analysis demonstrated that 81% of the associations between pathogenic and non-pathogenic taxa were significantly negative, suggesting competitive exclusion as a key regulatory mechanism. Collectively, these findings provide a precise monitoring framework and new insights into cross-species interactions, contributing to improved risk assessment and One Health strategies for the prevention of soilborne diseases.

RevDate: 2026-05-09

Zhang J, Zeng W, Meng Q, et al (2026)

Efficient amino acid capture from sludge fermentation by Tetrasphaera enhances simultaneous nitrification, endogenous denitrification and phosphorus removal.

Water research, 301:126061 pii:S0043-1354(26)00742-6 [Epub ahead of print].

The simultaneous nitrification endogenous denitrification and phosphorus removal (SNDPR) process shows great potential for carbon, nitrogen, and phosphorus removal. However, its application is challenged by limited carbon availability and the strong reliance of glycogen-accumulating organisms (GAOs) and traditional polyphosphate-accumulating organisms (PAOs) on volatile fatty acids. This study first established a fermentative PAO Tetrasphaera-dominated SNDPR coupled with in-situ sludge fermentation process, achieving stable and efficient nitrogen (95.7 ± 0.6%) and phosphorus (92.6 ± 1.6%) removal using complex organics (e.g., amino acids and proteins) from wastewater and sludge as carbon sources. Extending the anaerobic duration (from 5 h to 17 h) regulated the phosphorus removal and fermentation capacity of Tetrasphaera, promoting its dominance at the genomic (10.89%), transcriptional (6.24%), and translational (24.0%) levels. For phosphorus removal, the denitrifying phosphorus removal (DPR) rate using nitrite increased from 0.98 ± 0.05 mgN/gVSS·h at 5 h to 2.70 ± 0.07 mgN/gVSS·h at 17 h, shifting the system from aerobic phosphorus uptake dominance to a cooperative pattern with DPR, effectively lowering carbon demand. For fermentation, metagenomic analysis revealed that efficient amino acid capture by Tetrasphaera facilitated the retention of substantial sludge hydrolysates for intracellular amino acid storage, improving nutrient removal and mitigating NH4[+]-N and PO4[3-]-P release. Additionally, anammox bacteria (Candidatus Brocadia, 2.67%) self-enriched and synergistically contributed to nitrogen removal. Overall, this study provides new insights into the metabolic shift between fermentation and phosphorus removal in Tetrasphaera, demonstrating the feasibility of stable and efficient carbon, nitrogen and phosphorus removal by the SNDPR process in VFA-limited wastewater.

RevDate: 2026-05-09

Davin ME, Ortís Sunyer J, Delgado LF, et al (2026)

High-resolution multi-omics enhances prediction and detection of smORF-encoded proteins in the human gut microbiome.

Nature communications pii:10.1038/s41467-026-72762-5 [Epub ahead of print].

Small open reading frames (smORFs), which encode proteins under 100 amino acids, represent an underexplored dimension of the human gut microbiome, despite growing evidence of their essential biological roles. Due to small size and poor annotation, smORFs are typically excluded from metagenomic/metaproteomic analyses. Here, we present a high-resolution multi-omic workflow that integrates smORF prediction into metaproteome searches and enables ultra-deep detection of smORF-encoded proteins (SEPs), without experimental size-based enrichment, utilizing state-of-the-art mass spectrometry instrumentation. Applied to human gut microbiomes, this approach resulted in the largest number of detected SEPs to date, allowing identification of over 25,000 SEPs in the metaproteome, alongside the measurements of the larger proteins. Our multi-omics integrative strategy is critical for advancing human metaproteome research. It also provides a generalizable strategy for comprehensive SEP discovery across diverse microbial ecosystems greatly expanding the previously hidden proteomic landscape.

RevDate: 2026-05-09

Xue H, Godneva A, Tang F, et al (2026)

Population-scale characterization of the oral microbiome and associations with metabolic health.

Nature communications pii:10.1038/s41467-026-72748-3 [Epub ahead of print].

The oral microbiome may capture system-specific information about host metabolic health, yet large-scale, multi-system evidence remains scarce. We analyzed 9,431 participants in the Human Phenotype Project (HPP), integrating buccal-swab oral whole metagenome profiles with 44 metabolic measures spanning liver ultrasound, continuous glucose monitoring (CGM), and dual energy X ray absorptiometry (DXA). Here we show that using a microbiome-wide association study (MWAS) framework, we constructed a multilayer map across strains, gene families and pathways, revealing widespread associations: 213 strains, 124,603 gene families and 299 pathways were significantly associated with metabolic measures. Prioritizing the strongest and cross-phenotype signals, we identified multiple oral features with most significant associations to metabolic health. For example, acyl carrier protein (ACP) was associated with lower liver inflammation and reduced adiposity, whereas polyamine biosynthesis and ceramide α oxidation tracked higher glucose variability and adverse liver and adiposity phenotypes. Leveraging these MWAS-derived signals, we trained disease classification models using phenotype-selected oral features, which outperformed full-feature oral models across six metabolic diseases. These association signals were also robust in oral-health sensitivity analyses in HPP, and key BMI and waist-circumference associations directionally replicated at the genus level in an independent cohort (n = 20, 293). Together, these findings provide a population-scale oral-metabolic association map and highlight the potential of oral microbial markers as non-invasive tools for metabolic risk stratification.

RevDate: 2026-05-09

Sun Y, Wu S, Wu Z, et al (2026)

Instance-based transfer learning enables cross-cohort early detection of colorectal cancer.

NPJ biofilms and microbiomes pii:10.1038/s41522-026-01001-y [Epub ahead of print].

Colorectal cancer (CRC) continues to be a major global public health challenge. Extensive research has underscored the critical role of the gut microbiome for diagnostics of CRC. However, early-stage prediction of CRC, particularly at the precancerous adenomas (ADA) stage, remains challenging due to the instability of microbial features across cohorts. In this study, we conducted a systematic analysis of 2053 gut metagenomes from 14 globally-sampled public cohorts and a newly recruited cohort. Despite substantial regional and cohort-level heterogeneity in microbiome composition, we elucidated that the consistent differences between groups in microbial signatures provide the fundamental basis for CRC detection. These patterns enabled robust performance in both inter-cohort and independent validations using an optimized bioinformatics framework. In contrast, such basis was lacking in ADA-associated microbial markers, limiting the generalizability of early detection models. To address this, we developed an instance-based transfer learning approach, Meta-iTL, which effectively leveraged knowledge from existing datasets to detect CRC risk at the ADA stage in the newly recruited cohort. Thus, Meta-iTL overcomes challenges posed by cohort-specific variability and limited data availability and advances the application of non-invasive approaches for the early screening and prevention of CRC.

RevDate: 2026-05-09

Guo L, Holyoak GR, U DeSilva (2026)

Insights from healthy mares reveal that mammalian uteri harbor a diverse virome.

Scientific reports pii:10.1038/s41598-026-49532-w [Epub ahead of print].

The Earth's estimated 10[31] virions, primarily phages, significantly impact microbial ecosystems. Despite their abundance, viromes remain relatively understudied-particularly in domestic animals. While recent studies have described a dynamic commensal microbiome in mammalian uteri, no research has yet characterized the commensal virome in a mammalian uterus. In this study, we report for the first time the presence of a sparse, but diverse native virome in the equine uterus. The resulting virome database consists of 513 non-redundant viral genomes (> 2 kb). Taxonomic annotations revealed the prevalence of taxadominated by the genera Gammaretrovirus, Mamastrovirus, Sapovirus and Rosenblumvirus. Notably, 75% of the assembled genomes represented novel species. Phylogenetic analysis revealed distinct clades suggesting unexplored viral diversity within the uterine environment. Furthermore, bacterial hosts for equine uterine phages were predicted, aligning with previous studies' findings. Most notably, the study identified antibiotic resistance genes within the virome, hinting at potential gene transfer mechanisms between bacteria and viruses. This study establishes the first uterine virome of any mammal, shedding light on a previously unexplored domain. The findings highlight the potential for phage therapy in reproductive infectious diseases and the importance of understanding the maternal gestational environment. Moreover, the study emphasizes the need for further research to expand the uterine virome databases and deepen our understanding of uterine microbiome and its implications for animal and human health.

RevDate: 2026-05-09

Wang Y, Ma Y, Yi J, et al (2026)

A case report of post-arthroscopic knee infection caused by Capnocytophaga sputigena in an anemic patient.

BMC infectious diseases pii:10.1186/s12879-026-13507-z [Epub ahead of print].

BACKGROUND: Capnocytophaga sputigena (C. sputigena), a species of bacteria resident in the human oral cavity. Here, to the best of our knowledge, this is the first reported case of a post-arthroscopic knee infection caused by this organism in an anemic patient. We described the clinical characteristics, therapeutic intervention and outcome associated with knee joint infection induced by this bacterium. Furthermore, the treatment approaches and challenges in managing this particular pathogen were explored.

CASE PRESENTATION: A 58-year-old female patient presented with a knee infection following arthroscopy, caused by C. sputigena. The species C. sputigena was confirmed on the basis of the results of the joint fluid culture and metagenomics next-generation sequencing (mNGS). The infection was treated with arthroscopic debridement, in addition to intravenous and intra-articular meropenem irrigation. The initial therapy with meropenem resulted in clinical improvement, and was subsequently de-escalated to amoxicillin-clavulanate potassium. Following a period of observation, the patient was discharged, as her condition was stable.

CONCLUSIONS: The case of a post-arthroscopic knee infection caused by C. sputigena in an anemic patient resulted in surgeons developing a more profound clinical understanding of infections induced by the bacterium. The combination of arthroscopic debridement with meropenem therapy (subsequently followed by de-escalation to amoxicillin-clavulanate potassium) yielded favourable clinical outcomes, thereby establishing a practical reference point for the management and prognosis of such infections.

RevDate: 2026-05-09

Ottesen A, Kocurek B, Mammel MK, et al (2026)

Breaking the culture habit: Complementing culture-based veterinary diagnostics with metagenomic data -A case study of feline and canine skin infections.

BMC veterinary research pii:10.1186/s12917-026-05476-x [Epub ahead of print].

BACKGROUND: Skin infections have been described as the primary cause for veterinary small animal practice visits, frequently requiring topical and systemic antibiotics. These infections often represent secondary complications of underlying pathologies, that can lead to recurrent infections and multiple antibiotic exposures. This creates selection pressure toward antibiotic resistance at the intersection of skin, bloodstream, and shared human-animal environments. This case study integrates Veterinary Diagnostic Laboratory (VDL) aerobic culture results with metagenomic (MGX) data to evaluate the combined utility of these approaches in advancing One Health veterinary diagnostics. Simultaneous reporting of culture-recovered pathogens alongside infection microbiomes and resistomes could strengthen pathogen epidemiology, illuminate polymicrobial etiologies, and inform antimicrobial stewardship.

RESULTS: One feline and eight canine skin swabs were analyzed with aerobic culture and traditional antimicrobial susceptibility testing (AST) and compared with MGX profiles. VDL aerobic culture and AST identified Staphylococcus aureus, S. pseudintermedius, S. schleiferi, methicillin resistant (MR) S. schleiferi (MRSS), MR S. pseudintermedius (MRSP) and Pseudomonas aeruginosa. MGX data detected the identical bacterial pathogens and identified methicillin resistance genes (mecA, mecI, mecR1) in samples where AST had confirmed MRSP and MRSS. MGX data also detected mec genes in samples without culture confirmed MR phenotypes as well as describing multi-domain microbiota (bacteria, fungi, protists, viruses, phages), antimicrobial resistance genes (ARGs), plasmids, and metabolic features associated with the skin infection samples.

CONCLUSIONS: MGX data detected the identical VDL recovered pathogens and genes that confer the AMR phenotypes recovered by VDL AST. MGX data also detected additional uncultured pathogens, ARGs, multi-domain microbiota, mobile AMR elements, and metabolic features. Future applications for these methods used simultaneously could support monitoring programs, advance pathogen epidemiology, inform treatment strategy, advance judicious antimicrobial administration, and provide data for machine learning (ML) models to improve precision veterinary diagnosis and treatment.

RevDate: 2026-05-09
CmpDate: 2026-05-09

Navazesh SE, Ter Horst A, Wen W, et al (2026)

Dietary iron and metal-based growth promoters differentially modulate the gut resistome and Escherichia coli virulome in weaned pigs.

Journal of animal science and biotechnology, 17(1):.

BACKGROUND: High levels of zinc oxide (ZnO) and copper sulfate are widely used as alternative growth promoters in postweaning pig diet. However, excessive exposure to these metals may drive co-selection for heavy metal (HMR) and antibiotic resistance (AMR). Nursery diets also contain abundant iron to offset the low bioavailability of plant-derived iron, yet how dietary iron influence gut dysbiosis and microbial resistance in postweaning pigs remains unclear. This exploratory study examined the effects of dietary iron and metal-based growth promoters on the fecal resistome of postweaning pigs using shotgun metagenomics and whole-genome sequencing (WGS).

METHODS: Fifty weanling pigs were stratified and randomly assigned to five dietary treatments for 24 d. Experimental diets included a control diet (Con) containing 25, 139, and 141 mg/kg of Cu, Fe, and Zn, respectively, a low-iron diet (LFe, 19 mg Fe/kg), a high-iron diet (HFe, 1,219 mg Fe/kg), a high-copper diet (HCu, 257 mg Cu/kg), and a high-zinc diet (HZn, 2,631 mg Zn/kg, including 2,490 mg Zn/kg from ZnO). All pigs were orally administered with F18 enterotoxigenic Escherichia coli (ETEC) on d 13-16. Metagenome sequencing were performed on d 24 fecal DNA (n = 24) to identify HMR genes (BacMet Predicted database) and AMR genes (CARD database). Functional annotation was performed using HUMAnN3. Whole genome sequencing (WGS) was conducted on 120 E. coli isolates from fecal cultures on d 1, 12, and 24, and AMR and virulence genes were identified from contig assemblies using ABRicate.

RESULTS: Dietary metal treatments significantly altered β-diversity of HMR genes compared with Con, with HZn differing from both HCu and LFe (P < 0.05). Fecal iron levels correlated with sodB (ρ = 0.64, P = 0.075), an iron-containing superoxide dismutase, while fecal copper levels correlated with pcoC (ρ = 0.66, P = 0.075), a plasmid-mediated copper resistance gene. Across metagenomes, 172 AMR genes were identified, dominated by glycopeptide and tetracycline resistance. While dietary iron had minimal effects on fecal AMR profile, HZn induced the largest shifts in resistome, including increases of ant(9)-la, conferring aminoglycoside resistance on mobile genetic elements, and adeF, encoding a multidrug efflux pump (P < 0.05). Functional profiling revealed enrichment of carbohydrate metabolism pathways in HZn group (P < 0.05). WGS of E. coli isolates showed distinct AMR profiles under HZn on d 24 and distinct virulence profile under LFe on d 12, exhibiting increased prevalence of exotoxin and T3SS genes (P < 0.05).

CONCLUSION: Dietary iron restriction enhanced E. coli virulence genes, whereas excessive ZnO induced the most pronounced changes in the gut resistome and microbial metabolism, highlighting a risk for AMR co-selection and marked influence on gut microbiota.

RevDate: 2026-05-10

Tan T, Hu T, Chen B, et al (2026)

Boosting anaerobic reductive dehalogenation with natural protein amendments to unlock cryptic organohalide-reducing bacteria.

Marine environmental research, 219:108100 pii:S0141-1136(26)00269-2 [Epub ahead of print].

Deep-sea sediments host a rich yet largely unexplored reservoir of microorganisms capable of reductive dehalogenation. However, the activity of dehalogenating consortia is often limited even under carbon-rich conditions, impeding the identification of key functional players. In this study, we report that the addition of natural protein materials can dramatically stimulate reductive dehalogenation in an enrichment culture derived from deep-sea cold seep sediments. This stimulatory effect was clearly demonstrated by supplementation with bovine serum albumin (BSA), which significantly enhanced the degradation rates of 2,4,6-tribromophenol (2,4,6-TBP) and tetrachloroethene (PCE). Integrated metagenomic and metatranscriptomic analyses revealed that two candidate novel clostridial lineages-Romboutsia and Oxobacteraceae-present in BSA-amended cultures harbored distinct reductive dehalogenase (RDase) genes. Romboutsia harbored three RDase genes, with one being upregulated during the degradation of 2,4,6-TBP intermediates and another specifically responding to PCE, suggesting a substrate-dependent regulatory strategy. Oxobacteraceae encoded a cytosolic RDase that was highly expressed during 2,4,6-TBP transformation. Metabolic reconstruction further indicated that both lineages could utilize BSA-derived amino acids for growth. This work establishes an effective biostimulation strategy to activate dehalogenation in deep-sea microbial communities and expands the known diversity and functional versatility of candidate organohalide-reducing bacteria.

RevDate: 2026-05-10

Zhang X, Lu J, Bao Q, et al (2026)

Renal mucormycosis caused by Apophysomyces species: case report and literature review.

Journal de mycologie medicale, 36(2):101627 pii:S1156-5233(26)00028-4 [Epub ahead of print].

INTRODUCTION: Mucormycosis represents an uncommon yet aggressive and life-threatening fungal infection, typically occurring in immunocompromised individuals. Unlike most Mucorales infections, Apophysomyces frequently infects otherwise healthy hosts, raising significant clinical concern. Alarmingly its atypical manifestation, necrotizing fasciitis, is often misdiagnosed as a bacterial infection due to overlapping clinical features.

CLINICAL CASE: Herein we present a case of Apophysomyces infection in kidney in an immunocompetent 52-year-old man, whose condition deteriorated swiftly, leading to failure of several organs, culminating in death. All laboratory results, including serological assays and microbial cultures from blood, respiratory secretions, urine, and stool, showed no abnormalities. The diagnosis was confirmed through metagenomic next-generation sequencing (mNGS) which was highlighted as valuable for early diagnosis. We conducted a literature review of 13 cases previously reported from 1994 to 2025, implying a higher prevalence among immunocompetent individuals. Patients of Indian constituted the majority across all reported cases. PCR, fungal culture and histopathological examination served as the primary diagnostic methods. Systemic antifungal agents were administered to 13 individuals, while surgical intervention was performed in 8 cases. Complete recovery was achieved in 7 patients.

CONCLUSIONS: Therefore our report highlights Apophysomyces variabilis as a novel pathogen of clinical importance in China, emphasizing that mortality rates escalate substantially without timely detection and appropriate management.

RevDate: 2026-05-10

Guo Y, Zhou W, Dong M, et al (2026)

Root-secreted aminosalicylic acid and 4,6-dioxoheptanoic acid: Dual roles in enhancing 4-nonylphenol bioavailability and regulating rhizospheric microbiota community.

Journal of hazardous materials, 512:142282 pii:S0304-3894(26)01260-4 [Epub ahead of print].

Root exudates and rhizospheric microorganisms are key drivers of organic pollutant degradation in soil. However, the mechanisms underlying their coordinated effects are not yet fully understood. This paper analyzes the changes in the composition of Astragalus sinicus root exudates induced by 4-nonylphenol (4-NP) exposure and investigates the effects of key exudate components on 4-NP sorption-desorption, rhizospheric degradation, and soil microbial community. Metabolomic analysis indicated significant alterations in profile composition induced by 4-NP exposure, with organic acids representing the major responsive category. Specifically, aminosalicylic acid and 4,6-dioxoheptanoic acid-two pivotal organic acids-markedly enhanced 4-NP desorption from soil at a concentration of 50 μmol/L. Their addition reduced the desorption coefficient by 6.4-fold and 3.2-fold, respectively, compared to the control. A pot experiment further validated that application of the two organic acids significantly increased rhizospheric dissipation of 4-NP by 20.0-23.0% compared to soils planted with A. sinicus alone. Metagenomic analysis demonstrated that the key root exudates selectively enriched pollutant-degrading microorganisms (Pseudoxanthomonas sp. A, Cupriavidus, Rhodococcus, and Penicillium), and increased the abundance of functional genes (Cox1, ligB, ligI, and pcaF) and pathways associated with xenobiotic biodegradation. These findings indicate that specific root exudates enhance microbial degradation capacity by improving 4-NP bioavailability, providing a mechanistic basis for the targeted optimization of phytoremediation strategies for 4-NP-contaminated soils.

RevDate: 2026-05-10

Ramesh K, PV Chellam (2026)

Comparative genomic surveillance of fluoroquinolone resistance markers across major riverine hotspots by leveraging public metagenomes.

International journal of antimicrobial agents pii:S0924-8579(26)00128-7 [Epub ahead of print].

The global surge in fluoroquinolone resistance (FQR) underscores the urgent need for robust environmental surveillance. From a One Health perspective, rivers serve as critical conduits and hotspots for antimicrobial resistance (AMR) dissemination. To address this, we conducted a systematic metagenomic surveillance of FQR across spatially prioritized freshwater ecosystems using distribution data of five major markers (gyr, par, qnr, aac, qep) retrieved from the National Center for Biotechnology Information (NCBI) Pathogen Detection Isolate Browser. Among 164 riverine metagenomic datasets, 31 high-quality datasets from the Mississippi, Yukon, Saint Lawrence, Yangtze, and Pearl rivers were analyzed. FQR genes were detected in 12 datasets, with normalized abundances ranging from 0.01 to 1.22 copies per bacterial cell. Plasmid-mediated qnrS2 and efflux pump genes (qepA2, AbaQ) emerged as the most prevalent determinants. Multivariate analyses revealed river-specific clustering patterns and strong correlations with metal resistance genes, highlighting co-selection pressures. The predominance of conjugative mobile genetic elements indicated an elevated potential for horizontal gene transfer. Taxonomic profiling further revealed enrichment of clinically important and World Health Organization (WHO) priority pathogens. Community structure analyses (Permutational Multivariate Analysis, R[2] = 0.7598, p = 0.003) confirmed significant microbial variations across rivers. Collectively, this integrative approach identifies environmental reservoirs of FQR genes, supporting river-based AMR surveillance. These insights are pivotal for shaping evidence-driven mitigation strategies and informing both national and global AMR policies.

RevDate: 2026-05-10

Wang L, Lin F, Yuhan Y, et al (2026)

Humic substances with different molecular weights independently increased antibiotic resistance in agricultural soils contaminated with sulfamethazine.

Environmental pollution (Barking, Essex : 1987) pii:S0269-7491(26)00672-X [Epub ahead of print].

Humic substances (HS) are known to enhance soil structure, but their effects on the antibiotic resistance distribution in agricultural soils, especially under sulfonamide contamination, remain poorly understood. This study employed an indoor soil microcosm experiment combined with metagenomic sequencing to examine the effects of high molecular weight humic acid (HA) and low molecular weight fulvic acid (FA) on the dynamics of the antibiotic resistance in sulfamethazine (SM2) contaminated agricultural soil, with the aim of identifying key driving factors. The results revealed that both HA and FA, especially at 1 g/kg, increased the total abundance of antibiotic resistance genes (ARGs), including dominant genes, such as Sul1, Cmx, VanR, Sul2 and FloR. Additionally, HS application led to increased abundance of mobile genetic elements (MGEs) and potential ARG hosts, such as Actinobacteria. Notably, HA inhibited the growth of cultivable sulfonamide-resistant bacteria (SRB), while FA promoted their growth. However, the antibiotic resistance ratio of cultivable bacteria remained relatively high under both HS treatments, consistent with the elevated ARG abundance. This may be attributed to the enhanced competitiveness of Pseudomonas within the SRB community under HS exposure. Variance partitioning analysis (VPA) indicated that MGEs and microbial communities jointly contributed to ARG variation and were closely associated with the antibiotic resistome. This study provides new insights into the ecological risks associated with HS application in agricultural soils.

RevDate: 2026-05-10

Yao L, Shen L, Liu X, et al (2026)

Ventriculo-Abdominal Subcutaneous Tunnelled External Drainage as a Transition Therapy to Reduce Shunt Failure Rate in Post-infection Hydrocephalus Patients: A single-center retrospective cohort study.

World neurosurgery pii:S1878-8750(26)00253-6 [Epub ahead of print].

OBJECTIVE: Assess the clinical efficacy of Ventriculo-Abdominal Subcutaneous Tunnelled External Drainage (VASTED) as a transition treatment before ventriculoperitoneal shunting(VPS) in the management of post-infection hydrocephalus(PIH).

METHODS: This study enrolled 384 patients who developed PIH after craniotomy. Following external ventricular drainage(EVD) and combined intravenous antibiotic therapy, patients underwent VASTED as a transitional treatment measure before definitive VPS placement when they achieved three consecutive negative cerebrospinal fluid(CSF) bacterial cultures within two weeks and no pathogen detection by metagenomic next-generation sequencing (mNGS). The primary endpoint of the study was the shunt failure rate after one year of follow-up, with infection and catheter blockage as the evaluation criteria.

RESULTS: A total of 378 cases underwent VPS surgery, with 6 cases refusing or abandoning treatment. During a one-year follow-up period, 9 shunt failures occurred (2.38%, 95% CI: 0.43-3.05). Among these, 5 failures were infection-related (1.3%) and 4 were due to pure mechanical obstruction (1.1%). The shortest duration of VASTED was 14 days, while the longest was 387 days, with a median drainage time of 69 days (95% CI: 28-112 days).

CONCLUSION: In patients with PIH, implementing VASTED as a transitional surgical treatment approach is closely associated with an extremely low one-year failure rate of VPS. This transitional strategy can significantly reduce the high failure rate following VPS.

RevDate: 2026-05-10

Yin M, Chen X, Lu R, et al (2026)

Diversity of fecal viromes and zoonotic risk assessment in captive wild felids using viral metagenomics.

Scientific reports pii:10.1038/s41598-026-52077-7 [Epub ahead of print].

Emerging viral diseases-particularly zoonotic pathogens-affect the health and conservation of endangered felids, including Panthera tigris altaica (Amur tiger) and Panthera pardus (leopard). To address this challenge, we employed a viromics approach to investigate the diversity of the fecal virome in wild felids and assess its zoonotic potential. Using in-depth metagenomic sequencing and analysis of fecal samples from captive wild felids housed in a wildlife institution, this study characterized the enteric virome and evaluated associated risks. A total of 18 viral families and 48 viral genera were identified. The DNA virus community exhibited stability in abundance and composition, dominated by the phyla Heunggongvirae and Bamfordvirae. Within Heunggongvirae, the class Caudoviricetes was the core component, with its abundance aligning with the intestinal bacterial community, suggesting a potential role of these bacteriophages in regulating microbial ecology. Additionally, sequences of the family Poxviridae, homologous to Variola virus (VARV), were detected. In contrast, the RNA virus community displayed higher diversity and variability, with the order Ortervirales as the predominant group. Sequences highly homologous to feline leukemia virus (FeLV) were repeatedly identified, suggesting potential latent infections. The detection of sequences related to rare environmental viruses, such as Casadabanvirus, highlights the potential risk of cross-species virus transmission under captive conditions. Stability analysis revealed that dominant DNA virus groups exhibited low abundance variability across samples. In contrast, unclassified RNA viral taxa showed higher abundance variability. KEGG functional annotation mapped DNA viral contigs primarily to microbial metabolic modules. Conversely, RNA assemblies extensively mapped to eukaryotic pathways (e.g., arachidonic acid and energy metabolism); due to the total nucleic acid extraction methodology, these mappings primarily reflect co-extracted host transcriptomic background rather than viral-encoded functions, providing an indirect snapshot of the concurrent enteric microenvironment. These baseline data delineate the virome structure in captive environments and provide practical targets for zoological biosecurity and proactive veterinary surveillance.

RevDate: 2026-05-10

Saha PK, Sar P, Sarkar S, et al (2026)

Deep subsurface rock-hosted chemolithotrophic bacterial communities exhibited differential CO2 assimilation and bioconversion potential under varying oxygen level.

Scientific reports pii:10.1038/s41598-026-51641-5 [Epub ahead of print].

Deep continental subsurface hosts diverse microbial ecosystems that are primarily driven by chemolithoautotrophy. In this study, we investigated deep continental igneous rock-hosted bacterial populations enriched under microoxic (ME) and anoxic (AE) conditions. Metataxonomic, metagenomics and metabolomics approaches, along with physiological analyses, were performed to elucidate community composition, CO2 utilization and possible bioconversion potential of subsurface rock enrichment cultures under chemolithoautotrophic conditions. Following prolonged incubation, ME enrichments resulted in higher microbial growth with greater species diversity than the AE cultures. Ralstonia and unclassified Comamonadaceae were predominant in both the enrichment conditions. On the other hand, Cellulomonas, Phenylobacterium, Deinococcus, Desulfurispora, etc. were relatively abundant in ME, and Solimonas, Curvibacter, Caulobacter, Novosphingobium, Anaeromyxobacter, unclassified Clostridia, etc. were abundant in AE communities. CO2/H2 utilization and organic acids production were greater in ME enrichments. Shotgun metagenomics and predictive metabolic profiling revealed CBB cycle as the predominant carbon fixation pathway in ME, whereas WL pathway was prominent in AE. Genes for hydrogen, sulfur, and nitrogen metabolisms were observed in both the enrichment cultures. HRLC-MS based untargeted metabolomics indicated the presence of valuable metabolites (organic acids, osmolytes, lipids/amides) in rock cultures, reflecting the potential of deep subsurface microorganisms for CO2 utilization and possible bioconversion to valuable biomolecules.

RevDate: 2026-05-10
CmpDate: 2026-05-10

Yan C, Zhang F, Long C, et al (2026)

A Brief Review of Microbial Omics: Methods and Perspectives.

Methods in molecular biology (Clifton, N.J.), 3033:1-20.

Microbial omics has progressed from isolated genomic analyses into a comprehensive, integrated multi-omics framework, profoundly advancing our understanding of microbial complexity and functionality. This mini-review systematically outlines the core technologies within microbial omics-including genomics, transcriptomics, proteomics, and metabolomics-by introducing their fundamental principles, common experimental workflows, and state-of-the-art bioinformatic strategies. We particularly highlight the emergence of single-cell microbial omics as a transformative methodology that resolves molecular and functional heterogeneity within communities, enabling the identification of rare taxa, strain-level microdiversity, and specialized functional roles that are obscured in bulk analyses. Furthermore, we discuss how artificial intelligence (AI)-driven tools are revolutionizing the interpretation of high-dimensional omics data, uncovering latent biological patterns, improving predictive modeling of microbial behavior, and facilitating the translation of microbiome insights into clinical and environmental applications. The review concludes by comparing the strengths, limitations, and optimal use cases of each omics layer and single-cell approach while also addressing ongoing technical challenges and future directions in the field.

RevDate: 2026-05-10
CmpDate: 2026-05-10

Li B, Xu J, Zhao T, et al (2026)

Metagenomic Data Preprocessing and Quality Control.

Methods in molecular biology (Clifton, N.J.), 3033:43-61.

Accurate metagenomic analysis relies on clean and well-processed sequencing reads. This chapter presents a concise four-step workflow for preprocessing: raw data assessment, adapter and quality filtering, host DNA removal, and final clean-read evaluation. By standardizing these essential procedures, researchers can minimize contamination, reduce technical bias, and ensure reliable inputs for assembly and downstream metagenomic analyses.

RevDate: 2026-05-10
CmpDate: 2026-05-10

Li B, Yang X, Zhao T, et al (2026)

Metagenomic Assembly and Gene Prediction.

Methods in molecular biology (Clifton, N.J.), 3033:63-89.

Metagenomic assembly and gene prediction connect quality-controlled reads to downstream microbiome analyses. This chapter outlines core assembly strategies, including per-sample versus co-assembly and short-read versus hybrid approaches, and highlights key parameters and metrics for evaluating assembly quality. Gene prediction from contigs and the construction of nonredundant gene catalogs are introduced as fundamental steps for representing community coding potential. The resulting contigs and gene sets provide essential input for metagenome-assembled genome (MAG) reconstruction, as well as taxonomic and functional annotation in subsequent chapters.

RevDate: 2026-05-08

Wang F, Zeng W, Zhang Z, et al (2026)

Gut microbiota-modulated glutamic acid rejuvenates the quality of oocytes deteriorated by advanced reproductive age.

EMBO molecular medicine [Epub ahead of print].

The gut microbiota plays a vital role in maintaining the physiological function of host health and the pathogenesis of various diseases. However, its relationship with maternal age-associated decline in oocyte quality remains elusive. Here, we report that establishment of gut microbiota from young donors in aged mice by fecal microbiota transplantation (FMT) is an effective method to rejuvenate the quality of maternally aged oocytes. Specifically, young gut microbiota promoted the ovulation and maturation of aged oocytes, and inhibited occurrence of cytoplasm fragmentation and spindle/chromosome abnormalities, hence enhancing the oocyte quality and female fertility. By integrating metagenome and untargeted metabolome of intestinal digesta, as well as targeted metabolome of ovaries and micro-transcriptome of oocytes, we identified that Bacteroides_caecimuris-modulated glutamic acid levels mediated the restorative effects of young gut microbiota on the aged oocytes through strengthening the mitochondria function. In addition, we demonstrated that in vivo supplementation of glutamic acid also enhanced the quality of aged oocytes, and the improvement of oocyte quality by glutamic acid was conserved across species. Altogether, our findings highlight the importance of gut microbiota in the oocyte aging and provide potential improvement strategies for age-related decline in oocyte quality and female fertility.

RevDate: 2026-05-08

Minnaar LS, Inokuma K, Hasunuma T, et al (2026)

Engineering natural Saccharomyces cerevisiae isolates for enhanced one-step cellulosic ethanol production.

Applied microbiology and biotechnology pii:10.1007/s00253-026-13830-0 [Epub ahead of print].

Engineering yeast strains for use as chassis organisms in second-generation (2G) bioethanol is a promising strategy to improve process economics. Natural isolates of Saccharomyces cerevisiae offer strain backgrounds with greater genetic diversity and enhanced robustness, with the potential for improved heterologous protein production capabilities. In this study, heterologous cellulase production using different expression strategies was evaluated in various process-relevant conditions. Enhanced cellulolytic activity was clearly demonstrated in a cell-tethered enzyme system, compared to a free enzyme system, across identical strain backgrounds. Superior secretory capacity was obtained for YI59_V2 for all individual enzymes across all process-relevant conditions tested. In addition, this strain exhibited improved hydrolysis efficiency and ethanol production from crystalline cellulose, achieving ~10 g/L after 96 h (~88% of the maximum theoretical yield) without the need for exogenous cellulase supplementation. Interestingly, enhanced strain robustness against process-relevant, secretion, and cell wall stresses was also observed in transformants with cell-tethered cellulase systems compared to those with free enzyme systems. This study highlights that the expression design strategy for cellulase-encoding genes in this natural isolate was pivotal for increasing protein titres and for influencing strain robustness. Strains exhibiting elevated cellulase activity and increased robustness represent a key step toward the industrial deployment of consolidated bioprocessing (CBP). KEY POINTS: • Cell-tethered expression greatly boosted cellulase activity and cellulose breakdown. • YI59_V2 yielded ~ 10 g/L ethanol from crystalline cellulose without added enzymes. • Tethered enzymes reshaped cell walls and altered stress tolerance.

RevDate: 2026-05-08

Nguyen TT, Steen IH, Bøe MH, et al (2026)

Arctic deep-sea hydrothermal microbiomes as a natural niche for novel antimicrobial peptides.

BMC microbiology pii:10.1186/s12866-026-05098-1 [Epub ahead of print].

BACKGROUND: The escalating threat of antimicrobial resistance (AMR) has created an urgent need for new antimicrobial agents. Antimicrobial peptides (AMPs) are promising alternatives to conventional antibiotics due to their broad-spectrum activity and reduced risk of resistance development. While most AMP discovery efforts have focused on terrestrial microbes, extreme environments remain largely untapped. Deep-sea hydrothermal vent biofilms, such as those from the Arctic Mid-Ocean Ridges (AMOR), are unique ecosystems characterized by high pressure, temperature gradients, and chemical extremes. These conditions select for microorganisms with specialized adaptations, including the production of bioactive compounds that confer survival advantages. Such peptides may exhibit enhanced stability and novel mechanisms of action, making hydrothermal biofilms an exceptional resource for next-generation antimicrobials.

RESULTS: Using metagenomic and metatranscriptomic datasets from nine recently published AMOR biofilms, we predicted 961 AMP sequences with Macrel, of which 873 were unique and showed no identity to entries in the Antimicrobial Peptide Database (APD). AMPs were distributed across 51 microbial phyla, including underrepresented archaeal groups such as Asgardarchaeota, Nanoarchaeota, and Micrarchaeota. Transcriptomic profiling detected AMP expression in 25 phyla, including low-abundance candidate taxa, highlighting active AMP production. In silico minimum inhibitory concentration (MIC) prediction using APEX 1.1 suggested that 16.7% of AMPs may inhibit at least one clinically relevant pathogen, with Acinetobacter baumannii emerging as the most susceptible. Four peptides were synthesized for experimental validation; AMP OLKFNNDA_52_10 exhibited moderate in vitro activity against Staphylococcus aureus and weak activity against Escherichia coli, while showing low cytotoxicity toward human HEK293 cells. Other tested peptides displayed weak or no activity, underscoring discrepancies between computational predictions and biological outcomes.

CONCLUSIONS: Our study reveals extensive taxonomic and structural diversity of AMPs in Arctic hydrothermal vent biofilms and identifies novel candidates withbioactive potential. These findings emphasize the importance of integrating metagenomics, transcriptomics, machine learning, and experimental validation to uncover bioactive compounds from underexplored microbial ecosystems. Overall, AMOR biofilms represent a rich and untapped source of AMPs, offering new opportunities for antimicrobial drug discovery in the fight against AMR.

RevDate: 2026-05-07
CmpDate: 2026-05-08

Dong J, Cao Y, Chen X, et al (2026)

Buyang Huanwu Decoction promotes neurorepair after spinal cord injury through a Lactobacillus johnsonii-indole-3-lactic acid-AhR-PI3K/Akt axis.

Chinese medicine, 21(1):.

BACKGROUND: Spinal cord injury (SCI) induces gut microbiota dysbiosis, which significantly affects recovery. Buyang Huanwu Decoction (BHD), a traditional Chinese medicine formula, has shown therapeutic effects on SCI. Although BHD is known to modulate gut microbiota, whether its benefits are mediated through the gut-spinal cord axis remains unclear.

METHODS: A rat SCI model was established. BHD was administered orally, and fecal microbiota transplantation (FMT) from BHD-treated rats (BHD-FMT) was performed to assess neuroprotective and gut-protective effects. Behavioral testing, histology, and immunofluorescence evaluated motor recovery, inflammation, and neuroregeneration. Gut microbiota profiling was performed using 16S rDNA sequencing and metagenomics, while targeted metabolomics quantified tryptophan metabolites. Transcriptomics validated key pathways, and a microbiota-metabolite-signaling network was constructed.

RESULTS: BHD significantly improved motor function, reduced spinal inflammation, and promoted neuronal survival and axonal regeneration. It restored gut function, reduced colonic inflammation, and enhanced ZO-1 and Occludin expression, which were further confirmed by FMT. BHD-FMT reshaped the gut microbiota and enriched Lactobacillus johnsonii, which correlated positively with recovery. Metabolomics showed increased tryptophan metabolites, including indole-3-lactic acid (ILA) and indole-3-propionic acid (IPA), with ILA strongly associated with functional improvement. Transcriptomic analysis and Western blot validation demonstrated that BHD-FMT activated the AhR-PI3K/Akt pathway, which was suppressed by an AhR antagonist.

CONCLUSION: BHD promotes neuroregeneration after SCI by reshaping gut microbiota and enhancing tryptophan metabolism, potentially exerting its effects through the L. johnsonii-ILA-AhR-PI3K/Akt network. These findings reveal a gut-spinal cord axis-mediated mechanism of BHD and highlight microecological targets for SCI therapy.

RevDate: 2026-05-07

Biswas P, Ahmed S, Mondal S, et al (2026)

Recombinant LAB vector-based multicomponent vaccine against Campylobacter jejuni potentially promoting a healthier microbial balance in the poultry gut.

Microbiome pii:10.1186/s40168-026-02421-w [Epub ahead of print].

BACKGROUND: Diarrheal diseases remain the second leading cause of preventable death globally, particularly among children under the age of 5 in developing countries, accounting for an estimated 2-3 million deaths annually. Among bacterial pathogens causing diarrheal illness, Campylobacter jejuni (C. jejuni) remains a major contributor, particularly in low- and middle-income countries (LMICs). As a common gut pathogen, C. jejuni expresses several secretory or surface-expressed colonization proteins (SECPs), namely haemolysin co-regulated protein (Hcp), valine glycine repeats G (VgrG), Campylobacter adhesion to fibronectin (CadF), fibronectin-like protein A (FlpA), and jejuni lipoprotein A (JlpA). Most of these proteins play pivotal roles in bacterial self-survival, host-cell adhesion, and invasion of avian and non-avian hosts. To minimize C. jejuni adhesion and subsequent colonization in the avian gut, we explored the potential of a multicomponent mucosal vaccine composed of CadF, Hcp, and JlpA protein of C. jejuni.

RESULTS: For this purpose, we bioengineered a food-grade Lactic Acid-producing Bacterium, Lactococcus lactis (L. lactis), to express three key immunogenic subunits of C. jejuni, CadF, Hcp, and JlpA. Utilizing this live vector-based multicomponent mucosal vaccine platform, we investigated the immunoprotective potential of these antigens in chickens. Since the particular strain of L. lactis is non-colonizing, we used chitosan, a natural mucoadhesive, biodegradable polymer, to microencapsulate the engineered bacteria and increase their gut retention time for optimal interaction with local immune cells. Our in vivo immunization study demonstrated that oral administration of this multicomponent vaccine formulation elicited a strong local antibody response (sIgA) (p < 0.0001) and upregulated key pro-inflammatory cytokines, leading to robust mucosal immune protection (~ 1.54 log10 reduction) against the cecal colonization of C. jejuni. Beyond targeting C. jejuni, we hypothesized that the vaccine may influence the overall gut microbiota, potentially promoting a healthier microbial balance in the poultry gut. To this end, gut metagenomic analysis of vaccinated birds revealed a marked reduction in the phylum Campylobacterota (~ 2-fold), accompanied by increased abundance of the phyla Bacteroidota, as part of a beneficial microbial community.

CONCLUSIONS: Together, this study underscores the potential of a live vector-based, multicomponent mucosal vaccine as a promising, cost-effective strategy to reduce the cecal load of C. jejuni, potentially limiting the risk of foodborne transmission in poultry production systems.

RevDate: 2026-05-07

Liu Z, Guo Y, Xiao L, et al (2026)

Proanthocyanidins inhibit methane emissions by interacting with methyl-coenzyme M reductase and reshaping rumen microbiome function.

Microbiome pii:10.1186/s40168-026-02406-9 [Epub ahead of print].

BACKGROUND: Enteric methane (CH4) emissions from ruminants are a major source of agricultural greenhouse gases and represent an energy loss to the host. Methyl-coenzyme M reductase (MCR) is the terminal enzyme in methanogenesis and represents a key target for CH4 mitigation. This study integrated computational screening, in vitro fermentation, and in vivo experiments to identify plant-derived compounds capable of reducing enteric CH4.

RESULTS: Molecular docking of 3,900 phytochemicals identified proanthocyanidins (PAC) as top candidate, exhibiting strong predicted affinity to the MCR active site (-8.150 kcal/mol). In vitro rumen fermentation assays showed that PAC supplementation reduced CH4 production by 22% while increasing dry matter degradability. In lactating dairy cows, dietary PAC supplementation (10 or 20 g/kg dry matter) decreased daily CH4 emissions by ~ 8%, and improved ruminal nitrogen utilization without affecting milk yield or ruminal volatile fatty acid production. Amplicon sequencing and metagenomic analyses revealed PAC supplementation shifts in rumen microbial community, characterized by increased relative abundance of Bacteroidota taxa and a decreased relative abundance of methanogenesis-related genes. Functional genes associated with carbohydrate, lipid, and nitrogen turnover were more abundant, indicating potential improvements in nutrient utilization. Consistent with these changes, untargeted metabolomics likewise identified shifts in metabolite profiles that may associated with alternative routes for utilizing reducing equivalents.

CONCLUSIONS: This study provides integrated computational, microbial, and physiological evidence that PAC supplementation can reduce enteric CH4 emissions in lactating dairy cows, inducing rumen microbial and functional shifts and improving nitrogen utilization. These findings support the potential of PAC as a natural approach to lowering CH4 emissions and advancing sustainable dairy production. Video Abstract.

RevDate: 2026-05-08
CmpDate: 2026-05-08

Liu Y, Zhang Z, Wu G, et al (2026)

Two stable gut microbiome guilds predict liver tumor class and treatment responses.

iMeta, 5(2):e70123.

Gut microbiome alterations are increasingly associated with hepatocellular carcinoma (HCC), highlighting the gut-liver axis as a key contributor to tumor progression and prognosis. Taxon-based HCC microbiome studies have shown limited reproducibility because they are affected by database dependency, taxonomic ambiguity, and overlooked ecological interactions. The Two Competing Guilds (TCG) model, based on stable gut microbiome interactions, provides a structurally grounded framework for robust, generalizable biomarkers. Using shotgun metagenomic data from a newly recruited cohort of 120 surgically resectable HCC cases and 76 benign liver tumor controls, we constructed co-abundance networks to identify stably correlated genome pairs and assembled a hepatic cancer-TCG (HCC-TCG) model composed of 142 genomes. Functionally, one Guild had more genes for butyrate production from carbohydrate fermentation while the other Guild was enriched in genes for virulence factors and antibiotic resistance, highlighting its potential proinflammatory roles. Classifiers trained on the abundance profiles of HCC-TCG genomes successfully distinguished HCC from benign liver tumors (area under the receiver operating characteristic, AUROC = 0.70) and from colorectal liver metastases (CRLM) (AUROC = 0.78). In an external validation cohort, the model further discriminated against HCC from intrahepatic cholangiocarcinoma (iCCA) (AUROC = 0.72), and from healthy controls (AUROC = 0.79-0.85), demonstrating its broad applicability for tumor stratification across clinical contexts. Moreover, HCC-TCG profiles predicted post-resection recurrence risk and response to adjuvant therapies (AUROC up to 0.83). Importantly, external validation in two independent cohorts of advanced HCC patients treated with PD-1/PD-L1 inhibitors demonstrated consistent predictive performance (AUROC = 0.64-0.73), confirming the model's generalizability in nonsurgical and immunotherapy contexts. This genome-specific, ecologically structured, and database-independent framework identifies a conserved Guild-based microbiome signature for HCC. Our findings demonstrate that a fixed genome-resolved ecological structure retains transferable discriminatory signal across clinical contexts. The HCC-TCG framework provides a genome-specific, interaction-based foundation for future development of non-invasive microbiome stratification strategies requiring prospective validation.

RevDate: 2026-05-08
CmpDate: 2026-05-08

Wu R, Wen T, Shang N, et al (2026)

Chondroitin sulfate restores muscle mass via gut-muscle axis remodeling through sugar-bile acid metabolism reprogramming.

iMeta, 5(2):e70118.

Glucocorticoid-induced myopathy is characterized by progressive muscle atrophy and impaired regeneration, yet effective microbiota-oriented interventions for preserving muscle homeostasis remain largely unexplored. Here, we demonstrate that dietary chondroitin sulfate (DCS) restores muscle mass and function through a microbiota-dependent gut-muscle metabolic axis. DCS failed to confer protection in germ-free or antibiotic-treated mice, establishing gut microbiota as a prerequisite for its efficacy. Microbiota transplantation and mono-colonization experiments identified Lactobacillus johnsonii Z-RW as a functionally relevant mediator capable of recapitulating muscle protection under controlled microbial conditions. Integrated metagenomic, metabolomic, and proteomic analyses revealed coordinated reprogramming of intestinal sugar utilization and bile acid metabolism following DCS administration. Notably, DCS promoted bile acid deconjugation and enrichment of secondary bile acids, coinciding with restoration of muscle regenerative and energetic programs, including upregulation of NMRK2, PAX7, and SIRT1. Metabolite supplementation further implicated bile acids as candidate mediators linking microbial metabolism to muscle phenotypes. To quantitatively integrate these shifts, we introduce the sugar-bile acid ratio as a systems-level descriptor of microbiota-driven metabolic remodeling. Our findings delineate a microbiota-dependent metabolic framework through which a functional polysaccharide reshapes intestinal biochemistry to influence distal muscle physiology. This work highlights bile acid-associated signaling as a central relay within the gut-muscle axis and provides a conceptual foundation for microbiota-targeted strategies to mitigate muscle wasting.

RevDate: 2026-05-08
CmpDate: 2026-05-08

Leal F, Filho RM, Inoue LT, et al (2026)

Urinary microbiota diversity and composition in patients with advanced renal cell cancer.

BJUI compass, 7(5):e70186.

OBJECTIVES: This study aims to investigate the role of urinary microbiota in renal cell carcinoma; we analysed urinary microbiota in kidney cancer patients and explored its potential role as biomarker.

SUBJECTS AND METHODS: Samples were collected from 49 males (28 patients planned to undergo systemic therapy and 21 healthy volunteers). Two samples were collected from each patient, one prior to treatment and one after 8 to 12 weeks of systemic therapy. Microbiota was analysed by 16S rRNA sequencing. Microbiota diversity, taxonomic composition and relative abundance were compared between groups and longitudinal samples.

RESULTS: Amplicon sequence variant (ASV) richness was higher in renal cancer patients (p = 0.042) than controls. Beta diversity also differed between patients and controls by means of Jaccard (p = 0.001), Bray-Curtis (p = 0.008), and nonweighted UniFrac metrics (p = 0.001). Acetobacter, Lacticaseibacillus, Alloscardovia, Brevibacterium and the family Propicionibactericeae had higher relative abundance in cancer patients, while Prevotella, Microbacterium and Sphingomonas were more abundant in controls. Beta diversity differed between pretreatment and posttreatment samples (p = 0.008). After systemic treatment, we found an increased relative abundance for Prevotella, Rothia, Bradyrhizobium, Methylobacterium/Methylobrum, Porphiromonas and Fusobacterium and a decreased one for the Burkeholderia-Caballeronia-Paraburkholderia group. Higher ASV richness was predictive of poor prognosis for RCC patients (p = 0.043) but not of treatment response.

CONCLUSIONS: Urinary microbiota in patients with renal cell carcinoma differed from controls. Changes in microbiota composition were observed after systemic treatment. Urinary microbiota should be further investigated as a potential biomarker in renal cell carcinoma.

RevDate: 2026-05-08
CmpDate: 2026-05-08

Hussain N, Muccee F, Mirza AF, et al (2026)

Genomic insights into Solea solea gut-borne Enterococcus faecalis for the development of new probiotics in aquaculture.

Frontiers in veterinary science, 13:1778532.

Dietary manipulations using probiotics may contribute to the sustainable development of aquaculture. For probiotic applications, their traits, safety profiles, and functional characteristics should be explored. Whole genome sequencing (WGS) can be an informative tool in this regard. We initiated this study to obtain genomic insights into S. solea gut-associated bacteria. Bacteria (n = 20) exhibiting probiotic characteristics were subjected to DNA extraction. A mixture comprising equimolar concentrations of each bacterial DNA was prepared and analyzed through WGS. BV-BRC, metaSPAdes, MetaBAT2, DAS Tool, and PATRIC were used for taxonomic profiling, metagenome assembly, genome binning, comprehensive genome annotation, and subsystem analysis, respectively. For tree construction, MUSCLE and RaxML were employed. Fourteen bins comprising Actinomycetota, Bacillota, Bacteroidota, and Pseudomonadota were generated. Among these, the bin comprising the genome of Enterococcus faecium was selected. Its genome comprises 129 contigs with 2,944 coding sequences (CDSs). Genes associated with metabolism, protein processing, stress response, defense and virulence, cellular processes, and cell envelope were identified. Pathways identified included fatty acid and ketone body biosynthesis, glycerolipid and glycerophospholipid metabolism, linoleic acid metabolism, and self-defense mechanisms. This study confirmed the probiotic efficiencies of E. faecium. Hence, this bacterium might be employed as a fish feed supplement in aquaculture.

RevDate: 2026-05-08
CmpDate: 2026-05-08

Hu Y, Yan X, Gao F, et al (2026)

Probiotic-driven microbiome remodeling is associated with coordinated immune and metabolic responses, improving growth and disease resistance in farmed tongue sole (Cynoglossus semilaevis).

Current research in microbial sciences, 10:100600.

In flatfish aquaculture, labour-intensive tank cleaning represents a major operational challenge, limiting sustainability due to its high labour requirements and associated costs. We tested a new semi-closed recirculating aquaculture system (RAS) protocol for Cynoglossus semilaevis (tongue sole), replacing manual cleaning with post-feeding water exchange (80% drained) and probiotic application. Compared with control groups, the probiotic-water exchange protocol significantly improved growth (+0.18%/day) and survival (+7.9%), while shifting the gut microbiota from a Vibrio-dominated configuration to a Photobacterium-dominated one. Metagenomics revealed that Photobacterium damselae became the predominant taxon (86%) in the probiotic group, accompanied by the enrichment of quorum sensing pathways, CAZymes (CEs, AAs), and nutrient metabolism functions. Histological examination showed improvements in the intestinal muscular layer and villi structure. Multi-tissue transcriptomics identified systemic changes in immune and metabolic pathways, including activation of intestinal immune networks (IgA production, NF-κB signaling) and antimicrobial peptide genes. Liver, gill, and skin transcriptomes revealed enhanced DNA repair, cytokine signaling, and barrier pathways. JAK-STAT pathway was also activated, linking microbial metabolite sensing to growth promotion (stat5b, igf2bp3). The probiotic-integrated protocol modifies the gut microbiome by shifting microbial composition through changes in competitive interactions and microbial signaling pathways. It also improves the intestinal wall, overall immunity, and nutrient absorption. These findings provide insights into the microbiome-host interaction under probiotic treatment and suggest that this strategy may offer potential benefits under farm conditions, but further studies are needed to validate its safety and ecological implications.

RevDate: 2026-05-08
CmpDate: 2026-05-08

Luo J, Feng Y, Chen J, et al (2026)

Functional metagenomic reconstruction of microbial pathways altered by probiotic supplementation in liver failure.

Frontiers in cellular and infection microbiology, 16:1799729.

INTRODUCTION: Liver failure is a severe condition marked by circulatory failure, systemic inflammation, and gut microbial dysbiosis. This dysbiosis worsens liver damage by reducing beneficial metabolites and increasing harmful products. This study investigates the effects of probiotics on gut microbial functional pathways in liver failure. The aim is to link microbial metabolic reprogramming with host biochemical, inflammatory, and gut barrier responses through functional metagenomic reconstruction.

METHODS: Acute liver failure was induced in male Wistar rats using D-galactosamine (700 mg/kg) and lipopolysaccharide (10 μg/kg). Probiotic treatment began 24 hours after induction and was administered daily for 14 consecutive days before euthanasia. Two doses were used: low (1×10⁸ CFU/day) and high (1×10⁹ CFU/day). Fecal samples underwent shotgun metagenomic sequencing, followed by functional pathway reconstruction. These predictions were validated using metabolite profiling, quantitative PCR of microbial genes, intestinal barrier assays, and immune cell cytokine analysis. Host phenotypic markers were correlated with microbial pathways.

RESULTS AND DISCUSSION: Liver failure significantly elevated serum ALT (42.6±6.8 to 512.4±48.9 U/L), AST (78.3±9.5 to 684.7±62.1 U/L), and plasma ammonia (38.9±5.2 to 128.6±14.3 μmol/L). Probiotic supplementation showed a dose-dependent improvement. ALT dropped to 382.7±41.6 U/L (low dose) and 248.9±32.4 U/L (high dose). Ammonia levels decreased to 86.4±9.7 μmol/L and 59.8±7.6 μmol/L, respectively. Metagenomic analysis revealed a 1.7- and 2.6-fold increase in short-chain fatty acid (SCFA) biosynthesis pathways and a 38% and 61% decrease in urease-associated nitrogen metabolism. These changes were confirmed by higher fecal SCFAs (31.8±4.2 to 63.9±6.4 mM), lower ammonia (8.9±1.1 to 3.7±0.5 mM), improved intestinal barrier integrity (TEER: 462±38 to 721±44 Ω·cm²), and reduced TNF-α (214.6±22.8 to 74.9±12.3 pg/mL). Probiotic supplementation significantly reprogrammed the gut microbiome in liver failure. This highlights its potential as a therapeutic modulator of the gut-liver axis.

RevDate: 2026-05-08
CmpDate: 2026-05-08

Li T, Liu J, X Wang (2026)

Diagnostic performance and clinical utility of metagenomic next-generation sequencing in suspected pulmonary infections: a comparative study stratified by immune status.

Frontiers in cellular and infection microbiology, 16:1812778.

BACKGROUND: Pulmonary infections represent a significant global health concern, contributing substantially to morbidity and mortality worldwide. Metagenomic next-generation sequencing (mNGS) represents an advanced, comprehensive, and unbiased diagnostic approach for pathogen identification, effectively overcoming many limitations inherent in conventional diagnostic methods. This study aimed to systematically evaluate the clinical performance of mNGS in the etiological diagnosis of pulmonary infections, with a particular emphasis on its utility across diverse immune statuses.

METHODS: This retrospective study included 136 patients with suspected pulmonary infections admitted to the Department of Respiratory Medicine at Shandong Provincial Hospital from June 2023 to April 2025. Bronchoalveolar lavage fluid (BALF) samples were collected from all patients and concurrently subjected to mNGS and conventional microbiological testing (CMT). The pathogen detection spectrum and diagnostic performance of mNGS were systematically compared against those of CMT.

RESULTS: mNGS exhibited a significantly higher overall pathogen detection rate compared to CMT (77.2% vs. 50.0%, P < 0.001). Regarding the pathogen spectrum, mNGS identified a broader array of microorganisms, encompassing 19 bacterial, 9 fungal, and 2 mycobacterial species, in contrast to the 11 bacterial, 5 fungal, and 1 mycobacterial species detected by CMT. Diagnostic performance analysis further revealed that mNGS sensitivity was significantly superior to that of CMT (74.6% vs. 46.7%, P < 0.001). Furthermore, mNGS demonstrated a distinct advantage in detecting mixed infections, with a detection rate of 19.1%, significantly exceeding that of CMT (8.8%, P < 0.05). Subgroup analysis indicated a significantly higher incidence of mixed infections in immunocompromised patients compared to immunocompetent patients (35.1% vs. 13.1%, P < 0.05). Additionally, immunocompromised patients were more frequently subjected to adjustments in antimicrobial therapy guided by mNGS results (56.8% vs. 35.4%, χ² = 5.094, P < 0.05).

CONCLUSIONS: In conclusion, mNGS offers superior sensitivity and broader pathogen coverage for the etiological diagnosis of pulmonary infections compared to conventional microbiological testing. Its enhanced capability to detect mixed infections significantly improves diagnostic accuracy in immunocompromised patients and effectively facilitates the dynamic optimization of antimicrobial therapy. Serving as a powerful complement to traditional diagnostic methods, mNGS holds particular value for the rapid diagnosis of complex and immunosuppression-associated pulmonary infections.

RevDate: 2026-05-08
CmpDate: 2026-05-08

Li J, Liu M, Yang C, et al (2026)

Preceding crops may reduce denitrification potential and enhance ammonium assimilation pathways.

Frontiers in microbiology, 17:1808894.

BACKGROUND: Soil microorganisms are pivotal to nitrogen (N) cycling in croplands, yet how preceding crops modulate their functional profiles remains unclear.

OBJECTIVE: This field study aimed to quantify the effects of barley (BT) and rapeseed (RT) preceding crops (vs. no preceding crop, CK) on soil microbial functions and N-metabolic pathways in tobacco fields.

RESULTS: High-throughput metagenomics revealed that BT and RT significantly increased soil microbial richness (Chao1 index) compared to CK. At the genus level, CK contained 64% and 24% fewer unique taxa than BT and RT, respectively. While the top five KEGG functional pathways (e.g., Metabolic pathways, Biosynthesis of secondary metabolites) were conserved across treatments, their relative abundances differed. Critically, preceding crops reduced soil denitrification rates and increased glutamine dehydrogenase activity. Redundancy analysis confirmed that ammonium-N concentration was the key edaphic factor strongly correlated with microbial community structure and function (P < 0.01).

CONCLUSION: Our findings demonstrate that barley and rapeseed preceding crops enhance microbial richness and activity, thereby inhibiting denitrification and promoting N fixation via altered ammonium-N dynamics.

RevDate: 2026-05-08
CmpDate: 2026-05-08

Ranade AV, Hegde PS, Agni MB, et al (2026)

Cardiometabolomic signatures and gut microbiota dynamics in perinatally undernourished F1 offspring: Decoding the metabolic footprint.

Journal of biosciences, 51:.

The Developmental Origins of Health and Disease (DOHaD) hypothesis asserts that detrimental prenatal conditions, such as dietary deficiencies, may lead to enduring health consequences. Perinatal undernutrition, an important concern during fetal development, may affect growth and metabolic programming, resulting in lasting health implications. Maternal nutrition is crucial in modulating fetal endocrine systems and metabolic functions, influencing the development, blood circulation, and nutrient absorption. The present study examines the impact of perinatal undernutrition on the composition of gut microbiota and metabolite levels in offspring of undernourished dams, using an Albino Wistar rat model. Furthermore, we investigated the combined impact of astaxanthin (AsX) and docosahexaenoic acid (DHA) supplementation on cardiometabolic outcomes in these progenies. Astaxanthin, a powerful antioxidant, and DHA, an omega-3 fatty acid, have shown the ability to favorably alter the gut flora and metabolic pathways. The direct influence of AsX on gut microbiota remains unexplored, whereas DHA's role in fostering beneficial microbes and regulating metabolite production is well documented. The current study used metabolomics and metagenomics to investigate the intricate relationship between metabolites and gut microbiota in health and disease, offering insights into fetal programming and possible strategies to improve offspring health. The results highlight the need to address perinatal undernutrition and enhance gut health through targeted dietary interventions to improve long-term health outcomes.

RevDate: 2026-05-08
CmpDate: 2026-05-08

Xu X, Chen D, Luo N, et al (2026)

Metagenomic next-generation sequencing for pathology-suspected fungal infections at rare anatomical sites: a case series.

Future science OA, 12(1):2669032.

OBJECTIVE: Histopathology for suspected fungal infections lacks species-level identification and is prone to morphological mimics. The utility of metagenomic next-generation sequencing (mNGS) at rare anatomical sites is underexplored.

METHODS: We retrospectively analyzed 10 cases with histopathology suggestive of fungal infection at rare sites (brain, cardiac valve, bone, etc.). All underwent mNGS testing on formalin-fixed paraffin-embedded samples.

RESULTS: mNGS detected fungal DNA in 8/10 cases (80%), providing species-level identification (e.g., Cryptococcus, Candida, Fusarium, Rhizopus, Histoplasma). Polymicrobial infections were identified in 70%. mNGS corrected two misdiagnoses: one confirmed neurocysticercosis; another revealed only bacteria in a suspected fungal lesion. Antimicrobial resistance genes (ErmB) were identified in two cases.

CONCLUSION: mNGS enhances diagnostic precision at rare sites by enabling species identification, uncovering polymicrobial infections, and correcting morphological misdiagnoses, supporting targeted therapy.

RevDate: 2026-05-08
CmpDate: 2026-05-08

Walker JR, Bachand PT, Turner JW, et al (2026)

Viral Assemblages of a Hypersaline Estuary Show Divergent Responses to Freshwater and Temperature Disturbances.

Environmental microbiology reports, 18(3):e70354.

Hypersaline environments harbor extremely dense bacterial and viral populations unique from other aquatic ecosystems. Changes to the hydrologic cycle and anthropogenic disturbances have the potential to alter these poorly described communities. Here, we aimed to assess the variation within the viral and bacterial communities of one of the world's largest hypersaline estuaries over 13 months. Using metagenomics, we identified viruses associated with two different salinity regimes, and we showed how viruses responded to pulse disturbances including freshwater inundation and freeze events. We identified 17, 324 viral species, of which 12,132 were found in only one of the salinity regimes. Our results demonstrate a potential association between freshwater pulses throughout June 2021 and shifts in viral community composition. Freeze events showed a greater propensity to alter the auxiliary metabolic genes (AMGs), or genes carried by viruses to alter host metabolism during infection. Viruses associated with low temperatures led to higher incidences of AMGs associated with sulfur cycling and oxidative phosphorylation as opposed to photosynthesis with freshwater inundation and no extreme weather. The contrasting responses to different pulse disturbances make evident the need to better understand how different types of disturbances alter viral communities and their potential to modulate important biogeochemical cycles.

RevDate: 2026-05-08

Yashar M, Thigale UY, S Karakus (2026)

Role of microbiome in ocular surface disease: interpreting biology in a low-biomass environment.

Current opinion in ophthalmology pii:00055735-990000000-00308 [Epub ahead of print].

PURPOSE OF REVIEW: Growing use of sequencing technologies has accelerated investigation of the ocular surface microbiome, yet this environment is characterized by extremely low microbial biomass, complicating data interpretation. This review assesses current evidence linking microbial communities to ocular surface disease, discusses methodological and biological factors influencing interpretation of microbiome-disease associations, and proposes a framework in which microbial roles may be considered as drivers, modifiers, or markers.

RECENT FINDINGS: Studies across multiple ocular surface diseases report alterations in microbial composition, including reduced α-diversity and shifts in dominant taxa. Genera such as Staphylococcus, Corynebacterium, and Cutibacterium are frequently reported as resident members of the ocular surface microbiome, although their abundance varies across individuals and sampling sites. Across diseases, microbial patterns often overlap and remain inconsistent between studies. Emerging mechanistic evidence has identified specific microbial products, such as lipoteichoic acid, that promote ocular surface inflammation through defined signaling pathways, providing initial support for a potential driver or modifier role. In low-biomass environments such as the ocular surface, contamination, host DNA predominance, and methodological variability can strongly influence detected microbial signals.

SUMMARY: Interpretation of ocular surface microbiome data remains inherently challenging in this low-biomass context. However, the emergence of mechanistic studies suggests a transition from purely associative observations toward functional and translational investigation. Future studies should be designed to better define microbial roles by integrating standardized methodologies with multiomics approaches and detailed clinical phenotyping. Until such evidence emerges, microbiome research is best viewed as advancing biological insight rather than informing clinical decision-making.

RevDate: 2026-05-08
CmpDate: 2026-05-08

Colmant AMG, Parry RH, Charrel R, et al (2026)

Benchmarks for taxonomic classification of jingmenviruses and closely related viruses using newly identified genomic sequences.

The Journal of general virology, 107(5):.

Jingmenviruses are a group of viruses related to orthoflaviviruses characterized by a segmented genome and multipartite organization that have been detected worldwide in a wide range of hosts. With the growing number of new jingmenvirus sequences identified in metagenomics data, it can be difficult to assess whether a new sequence is associated with a new virus species or with a strain of an existing species. The ICTV is about to ratify the reclassification of the Flaviviridae family, recognizing segmented viruses previously designated jingmenviruses as part of that family and proposing two genera to classify them: Jingmenvirus and Guaicovirus. These proposals do not include clear criteria to classify jingmenviruses and related sequences into species or genera. In order to determine such criteria, we generated a large sequence database from published and newly assembled sequences. Indeed, we screened public raw sequencing data from studies that did not search for or report jingmenvirus or related sequences, looking for new strains of previously described viruses. We then performed multiple sequence alignments and used the inferred percentage identity values to determine demarcation criteria based on the distribution of evolutionary distances upon pairwise comparisons. We report the identification of almost 60 libraries containing jingmenvirus and related sequences, in a wide range of sample types and geographical locations. Using these data and published sequences, we have determined that to be classified as a virus species, at least four segments are required, on which eight cut-off values in percentage identity (nucleotide and amino acid) are used for demarcation. The use of these criteria would enhance consistency in jingmenvirus taxonomy and provide a standardized framework for comparative genomics studies of these viruses, as they are still under-characterized.

RevDate: 2026-05-08
CmpDate: 2026-05-08

Yuan C, Zhang T, Huo J, et al (2026)

Comparative analysis of next-generation versus third-generation sequencing for pathogen detection in clinical samples: a diagnostic accuracy study.

World journal of microbiology & biotechnology, 42(6):.

BACKGROUND: The rapid and accurate identification of pathogens is crucial for clinical management of infectious diseases. While Next-generation sequencing (NGS) has transformed pathogen detection, Third-generation sequencing (TGS) offers advantages in real-time analysis and long-read capabilities. This study comprehensively compares the diagnostic performance of NGS and TGS across diverse clinical samples.

METHODS: We conducted a prospective diagnostic accuracy study involving 105 clinical samples (58 bronchoalveolar lavage fluid, 28 whole blood, 19 other body fluids) from patients with suspected infections. All samples were analyzed using both NGS (BGI platform) and TGS (Nanopore platform). Diagnostic performance was evaluated against a composite reference standard incorporating clinical diagnosis, microbiological culture, and laboratory findings.

RESULTS: NGS demonstrated significantly higher sensitivity compared to TGS (95.9% vs. 82.4%, p < 0.001), while TGS showed superior specificity (87.1% vs. 64.5%, p = 0.012). The overall agreement between platforms was 85.7% (Kappa = 0.702). NGS exhibited particular advantages in viral detection (32 vs. 8 detections, p < 0.001) and fungal identification (28 vs. 18 detections, p = 0.023), whereas both technologies showed comparable bacterial detection capabilities. The area under the ROC curve was 0.92 for NGS and 0.85 for TGS. Turnaround time was significantly shorter for TGS (median 8 h vs. 30 h, p < 0.001).

CONCLUSION: NGS and TGS demonstrate complementary strengths in clinical pathogen detection. NGS offers superior sensitivity and enhanced detection of viral and fungal pathogens, making it suitable for comprehensive diagnostic evaluation. TGS provides rapid results with higher specificity, advantageous for time-critical clinical decisions. A combined or scenario-specific approach may optimize pathogen detection in clinical practice.

RevDate: 2026-05-08
CmpDate: 2026-05-08

Bharsakale RD, Gubyad MG, Jagannadham PTK, et al (2026)

Draft genome sequence CR-NGP1 strain of 'Candidatus Liberibacter asiaticus' (CLas) from the host Citrus reticulata (Nagpur mandarin) from Central India.

World journal of microbiology & biotechnology, 42(6):.

Huanglongbing (HLB, 'Candidatus Liberibacter asiaticus') is one of the most devastating pathogens in citrus domain. Here, we present the nearly complete genome sequence of a CR-NGP1 strain obtained a from symptomatic Nagpur Mandarin (Citrus reticulata) tree in the Nagpur region of Central India. High-throughput sequencing on the Illumina NovaSeq 6000 platform generated ~ 85.7 million paired-end reads, 63.5 million paired-end reads and 14.8 million paired-end reads for sample CLas_001, CLas_002 and CLas_003 each with 150 bp read length, respectively. Two assembly strategies were used: (i) reference-based assembly with SPAdes produced a draft genome of ~ 1.19 Mb with assembly comprised 149 contigs, with an N50 of 14,173 bp, longest contig of 39,711 bp, and an overall GC content of 36.27%. (ii) KBase CONCOCT binning v1.1 applied to all 3 samples produced a nearly complete CR-NGP1 genome of ~ 1,156,009 bases with assembly of 93 contig, with an N50 of 17,668 bp, a longest contig of 39,711 bp, and an overall GC content of 36.4%. This resource of a CLas genome from Central India provides important insights to understand genetic diversity of CLas strains and will facilitate comparative genomics and epidemiological studies of Huanglongbing.

RevDate: 2026-05-08

Li Q, Yang X, Zhu H, et al (2026)

A rare case of long-standing lupus vulgaris with psoriasiform manifestations diagnosed by mNGS: a case report.

European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology [Epub ahead of print].

This report describes a rare case of lupus vulgaris mimicking psoriasis, undiagnosed for over 40 years. Conventional diagnostics, including histopathology and mycobacterial culture, failed to yield a definitive diagnosis. Ultimately, metagenomic next-generation sequencing (mNGS) of the skin tissue detected the Mycobacterium tuberculosis complex, confirming the infection. The patient showed marked clinical improvement following two months of dual-drug anti-tuberculosis therapy. This case highlights the clinical utility of mNGS for diagnosing atypical, long-standing cutaneous tuberculosis when conventional methods are negative, thereby preventing prolonged misdiagnosis and ensuring timely treatment.

RevDate: 2026-05-08

Long Z, Zhang B, Bing H, et al (2026)

Identifying microbial candidates for assisted phytoremediation through long-term microbial succession and functional gene shifts across a 50-year chronosequence of vanadium-titanium magnetite tailings.

Journal of hazardous materials, 512:142304 pii:S0304-3894(26)01282-3 [Epub ahead of print].

Soil microorganisms are central to vegetation restoration in metalliferous wastes. However, within mine tailings restoration chronosequences, particularly those enriched with vanadium (V), the long-term successional dynamics of microbial communities, their functional potentials, and the functional partitioning between key microbial taxa and lower-abundance microbial lineages remain poorly understood. Here, we utilized metagenomic sequencing across a 50-year restoration chronosequence to investigate changes in the microbial community and functional genes related to plant growth-promotion (phosphorus, nitrogen, and iron acquisition) and V tolerance/bioreduction. The results demonstrated significant shifts in the microbial community after five years of restoration. At the phylum level, Actinobacteria, Acidobacteria, Pseudomonadota, and Gemmatimonadota were dominant. In early stages (< 15 years), nitrogen and phosphorus acquisition genes (e.g., nif, fix, phoD) were 1.3-2.5 times more prevalent than in later stages, whereas functional genes associated with V (e.g., napA, narG, nirS) increased 1.5- to 2-fold over time. Vanadium and nitrogen were the primary environmental factors regulating both community structure and the relative abundance of critical functional genes. Keystone taxa possessed more nitrogen and phosphorus acquisition genes (65% and 45%, respectively), while metagenome-assembled genomes (MAGs) were enriched in genes related to siderophore biosynthesis (71%) and denitrification (potential V bioreduction) (65%). Based on functional gene profiles, Bradyrhizobium, Allosphingosinicella, Baekduia, Sphingomicrobium, and Hylemonella were identified as promising microbial candidates for enhancing restoration in V-contaminated sites. This study enables the development of targeted microbial consortia to mitigate nutrient deficiency and V toxicity, directly informing the design of more efficient, stage-specific phytoremediation strategies in V-rich tailings.

RevDate: 2026-05-08

Feng R, Wang X, Zhang X, et al (2026)

Hidden antibiotic resistance risks and key drivers during tertiary wastewater treatment deciphered by an integrated metagenomic framework.

Environment international, 212:110281 pii:S0160-4120(26)00239-4 [Epub ahead of print].

Potential high-risk antibiotic resistance genes (ARGs) were considered as higher public health threats in wastewater treatment systems. While tertiary wastewater treatment processes (TWTPs) effectively remove conventional and emerging pollutants, their impact on ARGs with potential higher risk remains unclear. In this study, metagenomic assembly and binning were applied to profile potential-risk ARGs and identify key factors shaping their distribution during TWTPs. Results showed that potential-risk ARGs accounted for 34.32 ± 1.98% to 59.71 ± 1.55% of total ARGs, indicating their widespread persistence. Notably, DB significantly increased the relative abundance of potential-risk ARGs, particularly those conferring resistance to multidrug, bacitracin, and aminoglycoside. In parallel, DB treatment elevated the abundance of mobile genetic elements (MGEs), primarily transposase-related. DB treatment facilitated the co-occurrence of potential-risk ARGs and MGEs, especially multidrug and transposase/recombinase. Key bacterial hosts carrying potential-risk ARGs, such as Pseudomonas and Acinetobacter, were highly enriched after DB treatment, contributing substantially to the proliferation of these ARGs. In contrast, UV disinfection and CW treatment continuously reduced the abundance and risk levels of potential-risk ARGs, highlighting their complementary roles in mitigating antibiotic resistance risks during TWTPs. Variation partitioning analysis showed that bacterial community composition explained 36.15% of the variation in potential-risk ARG profiles, underscoring its primary role in ARG dynamics. Overall, this study provides genome-resolved insights into the hidden risks of ARGs and key drivers during TWTPs, highlights the necessity of optimizing operational parameters to mitigate antibiotic resistance dissemination.

RevDate: 2026-05-08

Wang W, Jiang H, Liang C, et al (2026)

Soil functional carbon fraction accrual in temperate forests is linked to understory herbs, soil nutrients and microbial alterations.

Journal of environmental management, 407:129886 pii:S0301-4797(26)01346-0 [Epub ahead of print].

Enhancing stable soil organic carbon (SOC) storage is vital for climate change mitigation. This study challenges the tree-centric paradigm in forest carbon management by investigating the relative roles of trees and understory herbs in driving SOC sequestration in temperate forests of Northeast China. Analyzing 720 soil samples from a 7.2 ha experimental forest, we measured oxidizable SOC fractions and tested the hypothesis that the understory herb layer is a primary driver of SOC accrual, mediated by soil properties and microbial communities. Results strongly supported our hypotheses. Plots with dense, tall herbs exhibited significantly higher levels of active and passive carbon fractions (increases of 7%-16%, amplified to 21%-45% when accounting for soil nutrients, physiochemistry, and water-holding capacity), whereas tree size showed no significant effect. Soil nitrogen was the strongest predictor of SOC variation. Herbs intensified the positive SOC-nitrogen relationship and were positively associated with beneficial soil conditions (e.g., near-neutral pH), contrary to the weak or negative correlations observed for trees. Structural equation modeling revealed that herbs exerted significant direct and indirect positive effects on carbon fractions, while the effects of trees were nonsignificant. Metagenomic analysis identified two contrasting microbial phyla groups: "positive-SOC" phyla (e.g., Thaumarchaeota, Planctomycetes) associated with herbs and high SOC, and "negative-SOC" phyla (e.g., Chloroflexi, Gemmatimonadetes). These findings underscore the critical, underappreciated role of the understory herb layer in SOC sequestration, mediated through soil nutrient enhancement, soil acidity, water retention, and shifts in microbial communities. Forest management strategies aiming to maximize carbon storage should prioritize herb layer conservation alongside tree layer considerations.

RevDate: 2026-05-08

Chen Y, Li Y, Cheng S, et al (2026)

Brief aerobic pretreatment for stabilizing long-term caproate production from food waste via fungi-bacteria chain-elongating consortia.

Bioresource technology pii:S0960-8524(26)00892-8 [Epub ahead of print].

Recovery of medium-chain carboxylic acids (MCCA) from food waste is constrained by low efficiency and instability. This study validated a short-term aerobic pretreatment (AP) strategy to enhance fungi-bacteria synergy. In batch tests, AP (0.2 vvm) achieved optimal caproate titers of 22.32 ± 1.56 g COD/L. The pretreatment enriched ethanol-producing yeasts and lactate-producing bacteria, establishing a robust co-electron donor pool. Metagenomic analysis revealed that this synergy suppressed the competing tricarboxylic acid cycle, redirecting carbon flux towards reverse β-oxidation (RBO) pathway and providing essential precursors for Clostridium_sensu_stricto_12. In a 134-day semi-continuous operation, AP sustained high titers (17.2-22.1 g COD/L) through a specialized guild dominated by the Ruminococcaceae bacterium BL-6, avoiding the systemic performance deterioration observed in controls. Life cycle assessment (LCA) confirmed a >60% carbon footprint reduction compared to conventional routes. Short-term aerobic pretreatment effectively regulates microbial succession to stabilize low-carbon MCCA production from food waste.

RevDate: 2026-05-08

Li J, Wu Y, Li X, et al (2026)

Partial Denitrification-Mediated anammox Evolution in anoxic Compartments: Deciphering metabolic activity and microbial community.

Bioresource technology pii:S0960-8524(26)00894-1 [Epub ahead of print].

The integration of partial denitrification (PD, NO3[-]→NO2[-]) with anaerobic ammonium oxidation (Anammox) in anoxic biofilm systems presents a transformative approach for enhanced nitrogen removal from municipal wastewater. Through a 7-month comparative analysis of spatially stratified anoxic zones in an anaerobic-anoxic-oxic bioreactor treating real wastewater (NH4[+]: 47.6 ± 4.7 mg N/L; COD: 154.8 ± 29.6 mg/L), this study achieved 71.8 ± 5.8% total nitrogen removal (effluent TN: 12.9 ± 3.9 mg N/L), aiming to propose optimization frameworks targeting biofilm carrier deployment in the anoxic zone. Test results showed that functional dominance partitioning emerged as a key determinant: the first anoxic zone (A1) exhibited peak anammox activity (0.034 kg N/m[3]/d) via rapid acetate-driven nitrate reduction, while the third zone (A3) sustained maximum Ca. Brocadia abundance (1.7%). Metagenomic sequencing further revealed that the highest ratio of NO3[-] reductase gene (narG) to NO2[-] reductase genes (nirS, nirK) was 2.06 in A3 compared to 1.39-1.68 in the other biofilms, indicating a stronger ability to supply NO2[-] to anammox. Carbon metabolic gene distribution revealed A1's acetate/glucose preference versus A3's endogenous metabolism dominance (elevated TCA cycle genes). This study proposes an innovative biofilm management framework for energy-efficient municipal wastewater treatment: front-positioned carriers maximize anammox nitrogen removal under moderate carbon-to-nitrogen ratios (3-5), while rear-positioned units secure anammox biomass retention during carbon surges.

RevDate: 2026-05-08

Wu Y, Yang X, Deng Y, et al (2026)

Performance of microbial deodorization on anaerobically digested biosolids and odor rebound under rewetting conditions.

Bioresource technology pii:S0960-8524(26)00891-6 [Epub ahead of print].

Odor control is a critical bottleneck in the quality upgrade of anaerobically digested biosolids for land application. The efficacy of microbial deodorization on biosolids has been scarcely evaluated and the mechanisms behind remain unclear. This study applied a sensory-instrumental combined analysis approach to evaluate the deodorization efficiency of two microbial agents on biosolids and odor recurrence upon rewetting. Results show that treatment with microbial agent could reduce the odor intensity and mitigate ammonia emission, yet it failed to completely eliminate the odor. The volatile profile of biosolids is complex, including various N-, S-, O-containing organic and inorganic compounds that collectively contribute to the malodor of biosolids. Rewetting of biosolids induced a rapid odor rebound to varying degrees depending on the maturity of biosolids. Deodorization treatment enhanced the solubility, transformation of biosolids organic matter and increased the humic-like characteristics of WEOM and reshaped the bacterial community showing enrichment of functional taxa (e.g., Actinobacteriota and Chloroflexi). Metagenomic analysis revealed that the key nitrogen-cycling genes (ureC, narG) were suppressed, thereby limiting the generation of NH3 and other related odorants. These findings elucidate a mechanistic linkage between microbial dynamics and the odor generation potential of biosolids, and highlight the critical role of moisture management in governing odor generation and post-deodorization biological stability of biosolids.

RevDate: 2026-05-08

Li Y, Yu T, Li Z, et al (2026)

From high- to low-risk resistomes: Dynamic shifts in antibiotic resistance during biofilm development in a full-scale biological activated carbon fluidized bed.

Environmental pollution (Barking, Essex : 1987) pii:S0269-7491(26)00661-5 [Epub ahead of print].

Antibiotic resistance genes (ARGs) in drinking water bioreactor biofilms pose significant public health risks, yet existing studies focus on mature biological activated carbon (BAC) biofilms, overlooking the early colonization stage critical for ARG origin and dissemination. This gap hinders understanding of ARG dynamics and resistance mechanisms during drinking water BAC biofilm development. Using metagenomics, we first systematically investigated ARG risk dynamics in a full-scale biological activated carbon fluidized bed (BACFB)-a state-of-the-art drinking water technology-across operational days 7-187. Microbial communities and ARG profiles clustered distinctively into early (days 7-37) and late (days 82-187) stages. Upon biofilm stabilization, total ARG abundance significantly decreased (P< 0.05), with high-mobility/high-risk ARGs (sulfonamide-, florfenicol-, aminoglycoside-type) replaced by low-mobility types (rifamycin-, fosfomycin-type). These shifts were correlated with reduced abundance of Pseudomonadota (P < 0.05), increasing trends in the abundance of Bacillota and Actinomycetota (P < 0.1), and decreased abundance of mobile genetic elements, particularly plasmids (P < 0.01). Pathogenic ARGs shifted from aminoglycoside/tetracycline to rifamycin, with Bacillus thuringiensis/Streptococcus pneumoniae (rphB-carrying) as key late-stage risks. Rank I/II and emerging ARGs (mcr, tet(X)) also declined. Our findings uncover the dynamics of ARG risks during BAC biofilm development and highlight the underlying ecological drivers, providing a robust scientific basis for targeted risk mitigation in drinking water treatment systems.

RevDate: 2026-05-08

Zhang T, Li S, Wu Y, et al (2026)

Gut microbial signatures for aging-related sarcopenia and dietary links among community-dwelling old-old adults: A metagenomic study.

Experimental gerontology pii:S0531-5565(26)00140-3 [Epub ahead of print].

BACKGROUND AND OBJECTIVES: Sarcopenia, characterized by progressive loss of muscle mass, strength and function, poses a major aging-related health challenge. While a gut-muscle axis is implicated, microbiota-sarcopenia associations in the old-old (≥80 years) remain unexplored.

METHODS: This cross-sectional analysis included 315 community-dwelling adults aged ≥80 years from a longitudinal cohort at the 20-year follow-up timepoint, of whom 180 met the inclusion criteria. Gut microbiota was profiled by shotgun metagenomic sequencing alongside sarcopenia assessment. Microbial taxa associated with sarcopenia were identified using MaAsLin2, and dietary associations were assessed by partial Spearman correlation.

RESULTS: The prevalence of sarcopenia in this old-old cohort (mean age 86.8 ± 4.3 years) was 51.7%. Sarcopenic individuals showed lower nutrition scores, reduced microbial richness and altered β-diversity (all P < 0.05). Multivariable analysis identified six differentially abundant species associated with sarcopenia (FDR < 0.10), including two positively associated (Ruthenibacterium lactatiformans and Catenibacillus scindens), and four negatively associated (Phascolarctobacterium faecium, Pyramidobacter piscolens, Lacrimispora saccharolytica and Limosilactobacillus mucosae). Random forest and LEfSe analysis validated R. lactatiformans and P. faecium as the most discriminative signatures for sarcopenia. After adjusting for obesity, these signatures remained significant (P < 0.05). These alterations were linked to functional dysregulation, including increased purine degradation and reduced biotin biosynthesis potential. R. lactatiformans abundance negatively correlated with dietary maltose intake (P < 0.05).

CONCLUSION: In old-old adults, we identified distinct gut microbiota signatures associated with sarcopenia. R. lactatiformans and P. faecium emerged as candidate features. The dietary-microbiota correlations suggest potential nutrition strategies. These findings provide a basis for exploring microbiota-based approaches in advanced aging.

RevDate: 2026-05-08

Yan J, Jin N, Xu C, et al (2026)

Multi-omics landscape and machine learning predictors of acute and chronic coronary syndrome diagnosis in young patients.

Journal of advanced research pii:S2090-1232(26)00389-9 [Epub ahead of print].

BACKGROUND: Acute coronary syndrome (ACS) is a leading global cause of death, and its incidence is increasingly rising in young adults, who exhibit distinct clinical characteristics from elderly patients. However, multi-omics studies focusing specifically on young coronary heart disease (CHD) patients remain scarce, hindering precise diagnosis and mechanism exploration.

METHODS: Here, we enrolled 206 young chest pain patients (18-45 years old), including 122 ACS patients, 38 chronic coronary syndrome (CCS) patients, and 46 individuals with healthy coronary arteries (NC). We performed integrated analyses of peripheral blood mononuclear cell transcriptomics, serum metabolomics, stool metabolomics, and gut microbiome metagenomics to characterize CHD subtypes and develop targeted diagnostic tools.

RESULTS: Our results showed that single omics layers had limited ability to distinguish CHD subtypes, while multi-omics integration significantly improved diagnostic efficacy. We identified unique molecular signatures for different subtypes: STEMI was associated with abnormal amino acid and carbohydrate metabolism, CCS was dominated by amino acid metabolism disturbances, and both STEMI and ACS showed enriched inflammation-related pathways. Novel biomarkers including p-chlorobenzene sulfonamide, cotinine, and the gut bacterium Streptococcus parasanguinis were identified, with Streptococcus parasanguinis validated as an atherogenic pathogen in a murine model. We constructed three multi-omics fusion diagnostic models (ACS vs. NACS, CCS vs. NC, STEMI vs. NSTE-ACS) with AUC values of 0.99, 0.95, and 0.96, respectively, and integrated them into a comprehensive diagnostic pipeline. Furthermore, multi-omics functional analysis unraveled a synergistic "microbiota-metabolism-immunity" regulatory network underlying CHD subtypes, linked to disordered amino acid and carbohydrate metabolism and aberrant inflammatory activation.

CONCLUSION: This study provides a systematic molecular landscape of young CHD, a high-precision diagnostic strategy, and novel targets for mechanism research and targeted intervention, addressing the unmet clinical need for precise management of young CHD patients.

RevDate: 2026-05-08

Basler N, De Smet L, Bouras G, et al (2026)

The honey bee triad: a comprehensive catalogue of phages in the Apis mellifera gut microbiome.

Nature communications pii:10.1038/s41467-026-72757-2 [Epub ahead of print].

Honey bees (Apis mellifera) contribute to crop production and floral biodiversity via pollination, but their health is increasingly challenged by stressors including pathogens, parasites and agricultural practices. Although the honey bee gut microbiome is relatively simple, its phages are not well studied. Here, we conducted a metagenomic study, providing a comprehensive catalogue of honey bee gut phages from 450 virus-enriched samples from 63 hives, across eight European countries, three seasons and three gut sections. We describe a diverse phageome including many phages that appear to belong to novel taxa, as well as a core set of 97 highly prevalent phages. In addition, we identify potential auxiliary metabolic genes, such as a sulfur metabolism gene carried by phages that are predominantly temperate and likely infect mutualistic honey bee core bacteria. This gene is associated with land use around the sampled hives, indicating complex ecological interactions in the tripartite system of the honey bee, its microbiota and the phages therein.

RevDate: 2026-05-08

Goulet L, Plaza Oñate F, Famechon A, et al (2026)

CroCoDeEL: accurate control-free detection of cross-sample contamination in metagenomic data.

Nature communications pii:10.1038/s41467-026-72637-9 [Epub ahead of print].

Metagenomic sequencing provides insights into microbial communities, but it can be compromised by technical biases, including cross-sample contamination. This phenomenon arises when microbial content is inadvertently exchanged among concurrently processed samples, distorting microbial profiles and compromising the reliability of metagenomic data and downstream analyses. Existing detection methods rely on negative controls, which are insufficiently used and do not detect cross-contamination within non-control samples. Meanwhile, strain-level bioinformatics approaches do not distinguish contamination from natural strain sharing and lack sensitivity. To fill this gap, we introduce CroCoDeEL, a decision-support tool for detecting and quantifying cross-sample contamination. Leveraging linear modeling and a pre-trained supervised model, CroCoDeEL identifies specific contamination patterns in species abundance profiles. It requires no negative controls or prior knowledge of sample processing positions, offering improved accuracy and versatility. Benchmarks across three public datasets demonstrate that CroCoDeEL can detect contaminated samples and identify their contamination sources, even at low rates (<0.1%), provided sufficient sequencing depth. Application of CroCoDeEL to several existing studies reveals previously undetected contamination.

RevDate: 2026-05-08

Anil , Ramesh KB, Gouda MNR, et al (2026)

Microbial zonation and functional roles in the gut of white grub (Maladera insanabilis) larvae.

Scientific reports pii:10.1038/s41598-026-52250-y [Epub ahead of print].

Maladera insanabilis, a widespread and destructive agricultural pest in India, thrives in nitrogen-deficient subsoil environments due to its dependency on gut bacteria. In particular, the hindgut is an anaerobic fermentation chamber, supporting microbial-driven nitrogen transformations essential for larval development. Despite its ecological significance, detailed studies exploring gut bacterial diversity and functional role in M. insanabilis are lacking. This study integrates metagenomics, culture-based techniques, enzymatic assays, and gene expression analyses to characterize the nitrogen-cycling potential of gut microbiota along the different gut compartments. The culture-based analysis isolated 16 aerobic and 8 anaerobic bacterial strains, predominantly from Bacillota and Pseudomonadota. High-throughput 16 S rRNA Illumina sequencing revealed 134 shared amplicon sequence variants (ASVs), with distinct bacterial assemblages, Burkholderia and Pseudomonas in the foregut, Paenibacillus in the midgut, and anaerobic genera such as Bacteroides and Desulfovibrio dominating the hindgut. Functional annotation using the KEGG database indicated that anaerobic gut bacteria are actively involved in nitrification, denitrification, and nitrogen fixation. The Enzyme assays confirmed high nitrate and nitrite reductase activity, with Burkholderia contaminans and Bacillus cepacia showing the highest activities. Michaelis-Menten kinetics and Lineweaver-Burk analysis (R[2] = 0.9871) showed a higher capacity (Vmax) for nitrate and nitrite reduction; a small Km indicates a high affinity for nitrate and nitrite. Gene expression studies viz., hzo, nifH, amx, nirS, and nirK revealed a significantly high expression level in the hindgut, especially under vermicompost treatment. This study provides the first comprehensive insight into nitrogen-cycling gut bacteria in M. insanabilis, highlighting their role in host nutrition and nitrogen transformation. These findings lay a foundation for future microbiome-targeted pest control strategies aimed at disrupting nutrient acquisition in soil-dwelling grubs.

RevDate: 2026-05-06

Deepthi M, K Vadakkadath Meethal (2026)

Bacterially expressed recombinant TMOF induces mortality and gut microbial alterations in Aedes albopictus larvae.

Scientific reports, 16(1):.

UNLABELLED: Mosquitoes, as vectors of numerous diseases, pose significant threat to human health. Aedes mosquitoes transmit diseases such as dengue, yellow fever and chikungunya, with dengue fever alone responsible for approximately 40,000 deaths and more than 96 million symptomatic cases annually. Current mosquito control methods are inadequate and results in environmental health hazards and development of resistance. Therefore, targeted control strategies are essential. In this context, we cloned and expressed the Trypsin Modulating Oostatic Factor (TMOF), a decapeptide that inhibits trypsin biosynthesis in mosquitoes by binding to a receptor. The codon-optimized gene for the TMOF peptide was synthesised and cloned in to pFN29AHis6Halo vector and expressed in Escherichia coli. The supernatant from the bacterial lysate containing recombinant TMOF peptide exhibited larvicidal activity against Aedes albopictus mosquito larvae, with an LC50 (48 h) of 242.1 ± 6.04 µg/mL. However, lysate from BL21 cells alone or recombinant peptide expressed with a single base shift in reading frame did not cause any mortality. The recombinant TMOF peptide was purified using nickel affinity chromatography and showed an LC50 of 2.13 ± 0.02 µg/mL, exhibiting 113.6 times more efficacy than the bacterial lysate supernatant. The LC90 (48 h) for bacterial lysate and affinity purified TMOF was 340.41 ± 6.04 µg/mL and 4.39 ± 0.20 µg/mL, respectively. TMOF peptide released from the recombinant protein by trypsin digestion also showed larvicidal activity. Exposure of larvae to TMOF fusion protein resulted in inhibition of trypsin biosynthesis in-vivo. Metagenomic analysis of the gut microbiota from TMOF-treated larvae resulted in reduction in abundance of bacteria belonging to Pseudomonadota and Bacillota compared to that of untreated larvae. Recombinant TMOF is also effective against Culex mosquito larvae, but shows no effects on non-target organisms such as Drosophila melanogaster, Luprops tristis, and Aplocheilus lineatus. Thus, the use of TMOF expressed in E. coli offers a promising eco-friendly method of mosquito control. (Patent number: 554267).

SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1038/s41598-026-41440-3.

RevDate: 2026-05-06

Rodriguez-Cruz UE, Ochoa-Sánchez M, Sierra JL, et al (2026)

Unveiling a Microbial Treasure Trove: Phylogenetic Diversity and Bioremediation Potential in a High-Altitude Andean Saline System.

Microbial ecology, 89(1):.

UNLABELLED: The reconstruction of metagenome-assembled genomes (MAGs) has improved our knowledge of how microbiomes perform biological and chemical processes in diverse ecosystems, including extreme environments. However, in Latin America, these ecosystems have received insufficient attention. In this study, we used shotgun metagenomics to reconstruct MAGs in Acos a high-altitude intermediate saline system in Cusco, Peru. Most of the MAGs detected were classified only at the phylum level, indicating significant phylogenetic novelty. Of particular note is the presence of two poorly characterized archaeal MAGs from the genus Methanonatronarchaeum, belonging to the phylum Halobacteriota. All reconstructed MAGs displayed a broad spectrum of metabolic pathways associated with the nitrogen and sulfur cycles, indicating metabolic versatility that allows them to cope with the harsh conditions of the saline environment. Both bacterial and archaeal MAGs are enriched in various metabolic processes related to the metabolism of amino acid and nitrogenous compounds; this could indicate a mechanism for adapting to osmotic stress. Among the genes detected, those involved in the degradation of the common herbicide atrazine were identified; this provides information on potential microbial mediation processes for the bioremediation of contaminated soils. Furthermore, and equally important, these habitats harbor a great diversity of viruses, many of which have unknown in current databases. Taxonomic classification revealed bacteriophages belonging to the class Caudoviricetes, specifically the families Myoviridae, Siphoviridae, and Podoviridae. Overall, our work provides high-quality MAGs that expand current knowledge of the diversity, function, and ecological dynamics of Bacteria, Archaea, and viruses in high-altitude intermediate saline environments.

SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00248-026-02712-7.

RevDate: 2026-05-06

Vinayagam S, Bhowmick IP, Rajendran D, et al (2026)

Genetic diversity and gut microbiome of Anopheles mosquitoes in Tamil Nadu by using COI DNA barcoding and 16S rRNA metagenomics.

Scientific reports pii:10.1038/s41598-026-48529-9 [Epub ahead of print].

Anopheles mosquitoes transmit infections to humans. Identifying the right mosquito species is crucial for vector control evaluation. This study uses COI gene DNA barcoding and 16S rRNA metagenomics to show the genetic diversity and gut microbial profile of undiscovered mosquito species. Three genera were found, including eight morphologically different Anopheles mosquitoes, and six mosquito species were molecularly validated, including An. moghulensis. The analysis of genetic diversity indicated that there is a state of balanced natural selection present. The species An. maculatus s.s. and An. stephensi exhibited nearly identical mutations, while An. moghulensis demonstrated evidence of purifying selection within the studied population. The gut microbiomes of An. moghulensis (149,377 reads), An. maculatus (51,016 reads), and An. dravidicus (33,126 reads) mosquitoes were also revealed. Afipia felis and Prevotella copri were the leading bacterial species, followed by other phyla including Proteobacteriota, Spirochaetes, and Firmicuteota. In An. moghulensis, alpha diversity assessments of Chao I incidence were dominating, whereas Shannon index was plentiful in An. maculatus s.s. mosquitoes. The mosquito's distinct bacterial species and shared microbial community are shown in the Venn diagram. These results suggest that the discovered bacterial taxa might be exploited to create vector control techniques for vector-borne illnesses.

RevDate: 2026-05-06

Loukas A, Kalaentzis K, Venetsianou NK, et al (2026)

CCMRI: a classification and curated database of climate change-related microbiome studies.

Scientific reports pii:10.1038/s41598-026-51914-z [Epub ahead of print].

Climate Change (CC) is reshaping all ecosystem processes and structures. Microbial data provide valuable insights into how microbial processes contribute to CC and how CC, in turn, alters microbial communities. However, the growing volume of environmental genomics data makes identifying CC-related records challenging. The Climate Change Metagenomic Record Index (CCMRI) has been developed to harvest metagenomic/microbiome records pertaining to CC and to provide researchers with a curated database of CC-related microbiome studies (https://ccmri.hcmr.gr). To guide interpretation, the database's 169 metagenomic studies have been labelled according to their relation to CC as CC-caused, CC-causing, and CC-mitigating. They have also been annotated with the CC phenomena they explore, like methane production, temperature rise, permafrost thawing, greenhouse gas emission, methanotrophy, and ocean acidification. To ease navigation, they have also been classified according to their biome as aquatic, terrestrial, host-associated, and engineered. The CCMRI database was initially constructed through manual curation of all aquatic and terrestrial studies in the MGnify resource. It was then expanded with the help of the CCMRI curation-assistant system. This leveraged Large Language Models to scan the remaining MGnify studies, filtered them for relevance, and proposed candidates for inclusion. With a recall greater than 90%, the system achieved high accuracy in identifying CC-related studies. The final decisions on CC-relatedness and categorization were performed by a human curator. This approach combines the efficiency of automation with human oversight and greatly reduces the curation effort, ensuring sustainability and scalability.

RevDate: 2026-05-07

Ye Y, Miao H, Fang W, et al (2026)

Deciphering dual effects of humic substrates on anaerobic ammonium oxidation: from metabolic facilitation to systemic nitrogen flux interference.

Bioresource technology pii:S0960-8524(26)00873-4 [Epub ahead of print].

Anaerobic Ammonium Oxidation (Anammox) is a promising strategy for nitrogen removal from landfill leachate due to its energy efficiency and independence from external carbon sources. However, continuous changes in recalcitrant organic compounds (i.e., fulvic acid (FA) and humic acid (HA)) at different landfill stages have potential effect on stability of anammox process. The present study systematically investigated the successive change of FA/HA concentrations and ratio that induced by different landfill age on anammox process in a laboratory-scale moving bed biofilm reactor operated over 200 days. Results showed a distinct dual-effect transition of FA and HA on the anammox process. 50-100 mg/L FA significantly improved nitrogen removal, achieving a peak total nitrogen removal efficiency (TNRE) of 91%. In contrast, the introduction of HA (100-200 mg/L) triggered a decline in TNRE to 80% and caused substantial nitrate (NO3[-]-N) accumulation. Microbial analysis revealed that FA-driven carbon abundance stimulated Candidatus Kuenenia and DNRA-functional Paracoccus and Bacillus, whereas HA suppressed DNRA bacteria in favor of nitrification. Metagenomic analysis showed that the electron shuttle and carbon source characteristics of FA enriched the relative abundance of energy metabolism genes (i.e., F-type ATPase) and quorum sensing genes (i.e., lamB), accelerating the anammox and denitrification process. However, HA interfered with the nitrogen metabolic flux via suppressing denitrification process (i.e., napA/B and nirS) and promoting nitrification genes (i.e., amoA and nxrA/B), leading to the accumulation of NO3[-]-N. These findings provide a mechanistic basis for optimizing anammox processes under varying humic substance conditions in landfill leachate treatment.

RevDate: 2026-05-07

Chai Z, Chen H, Cui J, et al (2026)

Micromolar chlorate sensitivity of wastewater-associated comammox Nitrospira: Endogenous toxification mechanism and implications for nitrification management.

Bioresource technology, 454:134789 pii:S0960-8524(26)00871-0 [Epub ahead of print].

Chlorate (ClO3[-]) is widely employed as a specific inhibitor of nitrite-oxidizing bacteria (NOB) to differentiate the contributions of ammonia-oxidizing microorganisms (AOMs). However, the discovery of completed ammonia oxidizing (comammox) Nitrospira, which performs both ammonia and nitrite oxidation, challenges the assumed specificity of chlorate, raising the question of whether it also inadvertently inhibits the ammonia oxidation activity of comammox Nitrospira, potentially leading to an underestimation of total ammonia oxidation activity in mixed communities. This study investigates the inhibitory kinetics and mechanisms of chlorate on wastewater-associated comammox Nitrospira. Batch assays revealed that comammox ammonia oxidation was hypersensitive to chlorate, with a half-maximal inhibitory concentration (IC50) of 9.11 µM, orders of magnitude lower than canonical NOB inhibition levels. Metabolic assays showed that 10 μM chlorate reduced ammonia oxidation activity to 49.1% during exposure, with recovery requiring multiple cultivation cycles. Integrated metagenomic and meta-transcriptomic analyses uncovered an endogenous toxification mechanism: chlorate is reduced by nitrite oxidoreductase (NXR) to cytotoxic chlorite, which triggers the upregulation of chlorite dismutase (CLD) and reactive chlorine species (RCS) defense genes, ultimately leading to metabolic arrest. This study confirms the inhibitory effect of chlorate on comammox Nitrospira and deciphers its RCS-mediated mechanism, emphasizing the need for caution when using chlorate-based assays to assess ammonia oxidation activity and providing a theoretical basis for selectively suppressing comammox Nitrospira in WWTPs.

RevDate: 2026-05-07

Fu D, Ma H, Zhang J, et al (2026)

Interplay of quorum-sensing signals (homoserine lactone/penicillic acid) and nitrate in regulating microbial processes: As(III) immobilization, CH4 and N2O emission in constructed wetlands.

Bioresource technology pii:S0960-8524(26)00870-9 [Epub ahead of print].

The concurrent mitigation of arsenic (As) pollution and greenhouse gas (GHG) emissions in constructed wetlands represents a significant challenge, largely due to the complex interactions within microbial-driven elemental cycles. This study investigated the regulatory roles of distinct quorum-sensing (QS) signals, i.e., C4-homoserine lactone (C4-HSL, a promoter) and penicillic acid (PA, a quencher), in concert with nitrate on the microbial-mediated transformation of As and GHGs (CH4 and N2O) in flooded paddy soil microcosms. The results revealed that the nitrate + C4-HSL treatment concurrently enhanced As(III) immobilization (increased by 8%) while suppressing CH4 and N2O emissions (by 7% and 56%) over a 24-day incubation period, compared to nitrate alone. Conversely, the nitrate + PA treatment inhibited As(III) oxidation (∼17.6 µM residual As(III) leaching) and promoted the accumulation of GHGs (increasing CH4 and N2O emissions by 8% and 77%). Mechanistically, C4-HSL activated the complete QS signaling network under nitrate amendment. This activation led to the enrichment of key functional microbial consortia (e.g., Pseudogulbenkiania, Streptomyces and Alicyclobacillus), an increase in relative abundance of critical metabolic genes (e.g., aox, pmo, nosZ, cpaF, tadA and cco), stimulated the secretion of protein-rich extracellular polymeric substances, and enhanced overall electron transfer system activity. These coordinated changes fostered coupled biogeochemical processes such as Fe(II)/Mn(II)-coupled denitrification and denitrifying AOM. In contrast, PA disrupted native QS communication, suppressed the aforementioned functional microbial groups and altered biofilm composition. Overall, the application of specific QS signals with nitrate exhibits the potential to directionally steer microbial community function, thereby highlighting a promising microbial-level strategy for the co-management of As and GHGs in engineered wetland systems.

RevDate: 2026-05-07
CmpDate: 2026-05-07

Palanisamy M, Babalola OO, S Ramalingam (2026)

Shotgun metagenomic dataset of leaf endophytic microbiome of the garden sage (Salvia officinalis L.).

BMC genomic data, 27(1):.

OBJECTIVES: Garden sage (Salvia officinalis L.) is a traditional medicinal plant known for its rich bioactive secondary metabolites. However, there is limited information about the diversity of endophytic microbial communities, including bacteria, fungi, archaea, and viruses. Therefore, the study employs shotgun metagenomics to generate and make publicly available a dataset representing the leaf endophytic microbiome of Salvia officinalis.

DATA DESCRIPTION: Metagenomic DNA was extracted from leaves of S. officinalis collected as three biological replicates and sequenced using the Illumina NovaSeq X platform. Host-derived and contaminant sequences were removed by mapping reads to the S. officinalis reference genome using BWA-MEM. The resulting high-quality FASTQ files were analyzed to characterize the taxonomic composition of the endophytic microbiome using Kraken2-based classification.

RevDate: 2026-05-07

Yuan J, Li J, Jin L, et al (2026)

Human herpesvirus-6B infection leading to hemophagocytic lymphohistiocytosis in an adult: a case report.

Journal of medical case reports pii:10.1186/s13256-026-06071-2 [Epub ahead of print].

BACKGROUND: Hemophagocytic lymphohistiocytosis (HLH) secondary to human herpesvirus-6B (HHV-6B) infection is rare in immunocompetent adults.

CASE PRESENTATION: We report the case of a 43-year-old East Asian (Chinese) woman who developed HLH, presenting with persistent fever, jaundice, and cytopenias. Metagenomic next-generation sequencing (mNGS) identified HHV-6B in both peripheral blood and liver tissue, thereby establishing the etiologic diagnosis. Prompt initiation of antiviral therapy with ganciclovir, combined with corticosteroids and intravenous immunoglobulin, resulted in rapid clinical remission.

CONCLUSIONS: This case highlights the critical importance of early pathogen identification using mNGS and timely immunomodulatory treatment for improving outcomes in adult patients with virus-associated HLH.

RevDate: 2026-05-07

Li C, Zhang X, Yang Y, et al (2026)

Bifidobacterium animalis suppresses melanoma progression and activates anti-tumor immunity by inhibiting YAP1 expression in CD8+ T cells.

Cancer biology & medicine pii:j.issn.2095-3941.2025.0652 [Epub ahead of print].

OBJECTIVE: The probiotic, Bifidobacterium animalis, (B. animalis) is known to provide health benefits in humans. This study investigated the role of B. animalis in suppressing malignant melanoma progression and modulating tumor immunity.

METHODS: Bifidobacterium spp. were isolated from human faeces and verified by whole-genome sequencing. The anti-tumor effects were assessed in B16-F10 melanoma cells. B. animalis efficacy was further evaluated in a syngeneic murine model. Immune profiling was performed with flow cytometry and CD8[+] T cell dependency was tested with antibody depletion. Functional metabolites were analyzed by liquid chromatography-mass spectrometry (LC-MS). Transcriptome sequencing elucidated the YAP1 mechanism in CD8[+] T cells. Gut microbiota composition was assessed via shotgun metagenomic sequencing.

RESULTS: Among the selected Bifidobacterium spp., B. animalis and its conditioned medium effectively inhibited melanoma cell proliferation. Oral administration of B. animalis significantly reduced the growth of B16-F10 allografts, accompanied by an increase in tumor-infiltrating effector T cells. The bioactive component of B. animalis was identified as a < 3-kDa non-protein fraction containing mannose, which phenocopied the anti-tumor and immunostimulatory effects of B. animalis. Microbiota profiling revealed probiotic enrichment in mannose-treated mice. CD8[+] T cell depletion abrogated mannose efficacy. Combination therapy with B. animalis and anti-PD-1 synergistically enhanced tumor control and T cell activation. Mechanistically, the bioactive fraction and mannose downregulated YAP1 expression in CD8[+] T cells.

CONCLUSIONS: B. animalis suppresses melanoma tumorigenesis in mice by restoring gut microbiota and secreting functional mannose. Mannose enhances anti-PD-1 efficacy by inhibiting YAP1 expression in CD8[+] T cells, thereby improving effector function. B. animalis may serve as a preventive measure for melanoma management.

RevDate: 2026-05-07

Wang S, Li S, Lyu H, et al (2026)

Quantifying the Contribution of Cryptic Sulfide-Driven Autotrophic Denitrification to N2O Production in a Seasonally Hypoxic River-Reservoir System.

Environmental science & technology [Epub ahead of print].

Sulfur-autotrophic denitrification (S-ADN) has been frequently reported in inland waters, yet its quantitative contribution to nitrous oxide (N2O) productions remains poorly constrained. By combining field sampling, enrichment cultures, stable isotopes, and metagenomic analysis, we quantified S-ADN-derived N2O productions in an oligotrophic river-reservoir system and validated the universality of our approach across diverse aquatic ecosystems. A Thiobacillus-dominated S-ADN enrichment culture was successfully established over 218 days of continuous supplementation with reduced sulfur compounds, yielding critical isotopic signatures for source partitioning (δ[15]N[Bulk], average N isotopic composition; δ[18]O; and δ[15]N[SP], site preference). Then, the multi-isotope Bayesian model revealed that S-ADN (14.8%) and nitrifier denitrification (NDN, 21.1%) rapidly occupied the ecological niche of heterotrophic denitrification (HDN, 8.6%) to total microbial N2O sources under organic carbon-limited conditions. The cryptic sulfur cycle supplies a considerable pool of electron donors for S-ADN under low-sulfide conditions. Autotrophic denitrifiers (e.g., Thiobacillus, Sulfuritalea) exhibited significant synergistic interactions with ammonia-oxidizing archaea (AOA, Nitrosarchaeum), while ammonia-oxidizing bacteria (AOB, Nitrosomonas) and nitrite-oxidizing bacteria (NOB, Nitrospira) jointly completed nitrification─with Nitrosomonas further competing for nitrite to drive NDN. This study advances the quantitative assessment of S-ADN's role in N2O production and provides novel insights into microbial community interactions in oligotrophic aquatic systems.

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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.

ESP Help

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

ESP Plans

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

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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.

Biographies

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.

ESP Picks from Around the Web (updated 28 JUL 2024 )