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bioRxiv2024

The Multiple Roles of Gamma Interferon in Intraepithelial T Cell-Villous Enterocyte Interactions in Active Celiac Disease

We compared duodenal biopsies showing active celiac disease (CeD) to normal controls using single cell RNA sequencing, cyclic immunofluorescence, RNAScope and proximity ligation assays. There is increased infiltration of villous but not crypt epithelium T cells bearing either {beta} or {gamma}{delta} T cell receptors (TCRs) in CeD. Both T cell subsets are activated cytotoxic T lymphocytes (CTLs) and surprisingly are the predominant mucosal source of IFN{gamma}. In response to this IFN{gamma},villous but not crypt enterocytes show an IFN{gamma} signature, including nuclear phospho-STAT1 protein, class II HLA molecules and IFN{gamma}-inducible chemokines known to recruit CTLs (e.g., CCL3, CCL4, CXCL10, and CXCL11) and receptors for these chemokines are expressed on the infiltrating CTLs. Villous enterocytes also display increased HLA-E and HLA-B mRNAs and proteins. Bioinformatic analyses (NICHES) and proximity ligation assays show frequent binding of both {beta} and {gamma}{delta} TCRs with enterocyte HLA-E or HLA-B, but not HLA-DR. In contrast, NKG2C, proposed as an alternative trigger of CTL activation, is infrequently-expressed and shows few interactions with HLA-E. Our data suggest that activated intraepithelial CTLs produce IFN{gamma} which recruits additional CTLs and increases antigen-dependent killing of villous epithelium using either conventional or HLA-E antigen presentation. SignifanceAnalyses of diagnostic biopsies from celiac disease patients reveals critical roles for IFN{gamma} actions on enterocytes and a surprising role of HLA-E in antigen presntation. Activated cytotoxic T lymphocytes (CTLs) that are the primary source of mucosal IFN{gamma}, leading to IFN{gamma} signaling in villous enterocytes, including expression of phospho-STAT1 protein, class II HLA molecules, and chemokines that attract CTLs. Bioinformatic ligand receoptor analyses and proximity ligation assays showed frequent interactions between intraepithelial CTLs and enterocyte HLA-E or HLA-B, indicating that IFN{gamma} production by the CTLs likely promotes further CTL recruitment and antigen-dependent killing of the villous epithelium.

immunology↗

bioRxiv2024

A rapid, inexpensive, culture-free, universal bacterial identification system using internal transcribed spacer targeting primers: a proof-of-principle study

Techniques for bacterial detection and identification can be characterized as either untargeted and taxonomically broad or targeted and taxonomically narrow. Untargeted techniques (e.g., culture and sequencing) are time-consuming and/or expensive while targeted techniques (polymerase chain reaction; PCR) can be faster and less expensive but require a strong pre-test suspicion of the potential organism to choose the correct test. We have developed a universal bacterial identification system that is as taxonomically broad as culture and amplicon sequencing but as fast, easy, and affordable as PCR. The platform utilizes a unique universal polymerase chain reaction (PCR) primer set that targets the internal transcribed spacer (ITS) regions between conserved bacterial genes, creating a distinguishable electrophoretic pattern for each bacterial species. Bioinformatic simulation demonstrates that at least 45 commonly isolated pathogenic species can be uniquely identified from a single set of PCR primers using this approach. We experimentally confirmed these predictions on seven representative human pathogens, including gram-negatives and gram-positives, aerobes and anaerobes, and spore formers. Without a priori knowledge of the organism, this system can rapidly identify the unique pattern generated by multiple species in a single reaction. Using quantitative PCR, the system can also determine the corresponding concentration of the organism in question. We also show that the primers are resilient to human DNA contamination at physiologic concentrations, eliminating the need for complex and time intensive extraction methods. Proof-of-principle testing on actual clinical specimens demonstrate that this assay can identify more than twice the species as current multiplex PCR assays (e.g., BioFire) using only one universal primer pair in a single PCR reaction, providing results in <3 hours for <$20 without bioinformatic turnaround time. SIGNIFICANCE STATEMENTThis paper describes a novel bacterial identification system that is as taxonomically broad as culture and amplicon sequencing but as fast, easy, and affordable as PCR. The assay covers more than twice the species as the leading multiplex PCR assays but uses only one universal primer pair in a single PCR reaction. It is resilient to human genomic contamination precluding the need for timely or costly methods to clear human DNA. This approach represents a major advancement in the decades-long struggle to rapidly and accurately identify bacteria.

bioengineering↗

bioRxiv2024

Role of Forkhead box F1 in the Pathobiology of Pulmonary Arterial Hypertension

RationaleApproximately 80% of patients with non-familial pulmonary arterial hypertension (PAH) lack identifiable pathogenic genetic variants. While most genetic studies of PAH have focused on predicted loss-of-function variants, recent approaches have identified ultra-rare missense variants associated with the disease. FOXF1 encodes a highly conserved transcription factor, essential for angiogenesis and vasculogenesis in human and mouse lungs. ObjectivesWe identified a rare FOXF1 missense coding variant in two unrelated probands with PAH. FOXF1 is an evolutionarily conserved transcription factor required for lung vascular development and vascular integrity. Our aims were to determine the frequency of FOXF1 variants in larger PAH cohorts compared to the general population, study FOXF1 expression in explanted lung tissue from PAH patients versus control (failed-donor) lungs, and define potential downstream targets linked to PAH development. MethodsThree independent, international, multicenter cohorts were analyzed to evaluate the frequency of FOXF1 rare variants. Various composite prediction models assessed the deleteriousness of individual variants. Bulk RNA sequencing datasets from human explanted lung tissues were compared to failed-donor controls to determine FOXF1 expression. Bioinformatic tools identified putative FOXF1 binding targets, which were orthogonally validated using mouse ChIP-seq datasets. Measurements and Main ResultsSeven novel or ultra-rare missense coding variants were identified across three patient cohorts in different regions of the FOXF1 gene, including the DNA binding domain. FOXF1 expression was dysregulated in PAH lungs, correlating with disease severity. Histological analysis showed heterogeneous FOXF1 expression, with the lowest levels in phenotypically abnormal endothelial cells within complex vascular lesions in PAH samples. A hybrid bioinformatic approach identified FOXF1 downstream targets potentially involved in PAH pathogenesis, including BMPR2. ConclusionsLarge genomic and transcriptomic datasets suggest that decreased FOXF1 expression or predicted dysfunction is associated with PAH.

genomics↗

bioRxiv2024

OXA beta-lactamases from Acinetobacter spp. are membrane-bound and secreted into outer membrane vesicles

{beta}-lactamases from Gram-negative bacteria are generally regarded as soluble, periplasmic enzymes. NDMs have been exceptionally characterized as lipoproteins anchored to the outer membrane. A bioinformatics study on all sequenced {beta}-lactamases was performed that revealed a predominance of putative lipidated enzymes in the class D OXAs. Namely, 60% of the OXA class D enzymes contain a lipobox sequence in their signal peptide, that is expected to trigger lipidation and membrane anchoring. This contrasts with {beta}-lactamases from other classes, which are predicted to be mostly soluble proteins. Almost all (> 99%) putative lipidated OXAs are present in Acinetobacter spp. Importantly, we further demonstrate that OXA-23 and OXA-24/40 are lipidated, membrane-bound proteins in Acinetobacter baumannii. In contrast, OXA-48 (commonly produced by Enterobacterales) lacks a lipobox and is a soluble protein. Outer membrane vesicles (OMVs) from Acinetobacter baumannii cells expressing OXA-23 and OXA-24/40 contain these enzymes in their active form. Moreover, OXA-loaded OMVs were able to protect A. baumannii, Escherichia coli and Pseudomonas aeruginosa cells susceptible to piperacillin and imipenem. These results permit us to conclude that membrane binding is a bacterial host-specific phenomenon in OXA enzymes. These findings reveal that membrane-bound {beta}-lactamases are more common than expected and support the hypothesis that OMVs loaded with lipidated {beta}-lactamases are vehicles for antimicrobial resistance and its dissemination. This advantage could be crucial in polymicrobial infections, in which Acinetobacter spp. are usually involved, and underscore the relevance of identifying the cellular localization of lactamases to better understand their physiology and target them. IMPORTANCE{beta}-lactamases represent the main mechanism of antimicrobial resistance in Gram-negative pathogens. Their catalytic function (cleaving {beta}-lactam antibiotics) occurs in the bacterial periplasm, where they are commonly reported as soluble proteins. A bioinformatic analysis reveals a significant number of putative lipidated {beta}-lactamases, expected to be attached to the outer bacterial membrane. Notably, 60% of class D OXA {beta}-lactamases (all from Acinetobacter spp) are predicted as membrane-anchored proteins. We demonstrate that two clinically relevant carbapenemases, OXA-23 and OXA-24/40 are membrane-bound proteins in A. baumannii. This cellular localization favors secretion of these enzymes into outer membrane vesicles that transport them outside the boundaries of the cell. {beta}-lactamase-loaded vesicles can protect populations of antibiotic-susceptible bacteria, enabling them to thrive in the presence of {beta}-lactam antibiotics. The ubiquity of this phenomenon suggests that it may have influenced the dissemination of resistance mediated by Acinetobacter spp., particularly in polymicrobial infections, being a potent evolutionary advantage.

microbiology↗

bioRxiv2024

Systematic benchmarking of mass spectrometry-based antibody sequencing reveals methodological biases

The circulating antibody repertoire is crucial for immune protection, holding significant immunological and biotechnological value. While bottom-up mass spectrometry (MS) is the most widely used proteomics technique for profiling the sequence diversity of circulating antibodies (Ab-seq), it has not been thoroughly benchmarked. We quantified the replicability and robustness of Ab-seq using six monoclonal antibodies with known protein sequences in 70 different combinations of concentration and oligoclonality, both with and without polyclonal serum IgG background. Each combination underwent four protease treatments and was analyzed across four experimental and three technical replicates, totaling 3,360 LC-MS/MS runs. We quantified the dependence of MS-based Ab-seq identification on antibody sequence, concentration, protease, background signal diversity, and bioinformatics setups. Integrating the data from experimental replicates, proteases, and bioinformatics tools enhanced antibody identification. De novo peptide sequencing showed similar performance to database-dependent methods for higher antibody concentrations, but de novo antibody reconstruction remains challenging. Our work provides a foundational resource for the field of MS-based antibody profiling.

immunology↗

bioRxiv2024

Biocatalytic Tetrapeptide Macrocyclization by Cryptic Penicillin-binding Protein-type Thioesterases

Cyclic tetrapeptides (CTPs) are a diverse class of natural products with a broad range of biological activities. However, they are challenging to synthesize due to the ring strain associated with their small ring size. While chemical methods have been developed to access CTPs, they generally require the presence of certain amino acids, limiting their substrate scopes. Herein, we report the first bioinformatics-guided discovery of a thioesterase from a cryptic biosynthetic gene cluster for peptide cyclization. Specifically, we hypothesized that predicted penicillin-binding type thioesterases (PBP-TEs) from cryptic nonribosomal peptide synthetase (NRPS) gene clusters containing four adenylation domains would catalyze tetrapeptide cyclization. We found that one of the predicted PBP-TEs, WP516, efficiently cyclizes a wide variety of tetrapeptide substrates. To date, it is only the second stand-alone enzyme capable of cyclizing tetrapeptides, and its substrate scope greatly surpasses that of the only other reported tetrapeptide cyclase Ulm16. AlphaFold modeling, covalent docking, molecular dynamics, and mutational analyses were used to rationalize the broad substrate scope of WP516. Overall, the bioinformatics guided workflow outlined in this paper, and the discovery of WP516, represent promising tools for the biocatalytic production of head-to-tail CTPs, as well as a more general strategy for discovery of enzymes for peptide cyclization.

biochemistry↗

bioRxiv2024

A Portable and Scalable Genomic Analysis Pipeline for Streptococcus pneumoniae Surveillance: GPS Pipeline

Ever increasing global sequencing capacity provides an unprecedented opportunity in utilising genomic information captured from whole-genome sequencing to enhance pathogen surveillance. However, there is a growing need for developing user-friendly tools to effectively analyse the increasing volume of data. To meet this need, we have developed a genomic analysis pipeline, GPS Pipeline, which is portable and scalable to analyse genomes of Streptococcus pneumoniae, a major bacterial pathogen that is estimated to cause 317,000 child deaths worldwide every year. The GPS Pipeline is based on Nextflow and containerisation technology, and designed to enable researchers generating public health relevant output, including in silico serotypes, pneumococcal lineages (i.e. GPSCs), multilocus sequence types, and antimicrobial susceptibilities against 20 commonly used antibiotics,with minimal software setup requirements and bioinformatic expertise, in order to analyse genomic data at scale with ease. The GPS Pipeline provides a streamlined workflow that improves responsiveness in genomic surveillance on pneumococci. Data SummaryThe GPS Pipeline is available on GitHub at github.com/GlobalPneumoSeq/gps-pipeline. Published data from the GPS Database is available on Monocle Data Viewer at data.monocle.sanger.ac.uk and associated sequence read files are searchable and downloadable in the European Nucleotide Archive at ebi.ac.uk/ena via their ERR accession numbers. Impact StatementThe GPS Pipeline advances global genomic surveillance of Streptococcus pneumoniae by providing a scalable, portable, and user-friendly tool for analysing whole-genome sequencing data. Leveraging Nextflow and containerisation technology, it minimises bioinformatics expertise requirements and infrastructure needs, making it particularly valuable in low- and middle-income countries where pneumococcal disease burden is high. This pipeline ensures reproducibility and stability across platforms, facilitating rapid and accurate pneumococci genomic analysis. By streamlining data processing, the GPS Pipeline enhances pathogen surveillance, generates evidence to support vaccine strategy development, and empowers researchers worldwide, ultimately contributing to improved public health outcomes.

genomics↗

bioRxiv2024

Dosage compensation of transposable elements in mammals

In mammals, X-linked dosage compensation involves two processes: X-chromosome inactivation (XCI) to balance X chromosome dosage between males and females, and hyperactivation of the remaining X chromosome (Xa-hyperactivation) to achieve X-autosome balance in both sexes. Studies of both processes have largely focused on coding genes and have not accounted for transposable elements (TEs) which comprise 50% of the X-chromosome, despite TEs being suspected to have numerous epigenetic functions. This oversight is due in part to the technical challenge of capturing repeat RNAs, bioinformatically aligning them, and determining allelic origin. To overcome these challenges, here we develop a new bioinformatic pipeline tailored to repetitive elements with capability for allelic discrimination. We then apply the pipeline to our recent So-Smart-Seq analysis of single embryos to comprehensively interrogate whether X-linked TEs are subject to either XCI or Xa-hyperactivation. With regards to XCI, we observe significant differences in TE silencing in parentally driven "imprinted" XCI versus zygotically driven "random" XCI. Chromosomal positioning and genetic background impact TE silencing. We also find that SINEs may influence 3D organization during XCI. In contrast, TEs do not undergo Xa-hyperactivation. Thus, while coding genes are subject to both forms of dosage compensation, TEs participate only in Xi silencing. Evolutionary and functional implications are discussed.

genetics↗

bioRxiv2024

Candidate imprinting control regions in dog genome

In mammals, genomic imprinting restricts the expression of a subset of genes from one of the two parental alleles. The process is regulated by imprinting control regions (ICRs) and gDMRs (germline Differentially Methylated Regions) dispersed across autosomal chromosomal DNA. An unresolved question is how to discover candidate ICRs in canine DNA genome wide. Previously, bioinformatics analyses found a significant fraction of well-known ICRs/gDMRs in mouse, human, and Bos taurus. Analyses were based on finding the genomic positions of clusters of several CpG-rich motifs known as ZFBS-morph overlaps. These motifs are composite DNA elements. For this report, we performed similar studies to pinpoint candidate ICRs in the dog genome. A key feature of the bioinformatics strategy is creating density plots to mark cluster positions. In genome-wide analyses, peaks in plots effectively discovered candidate ICRs along chromosomal DNA sequences of Canis lupus familiaris breed Boxer. With respect to Non-Dog RefSeq Genes, several candidate ICRs are in regions analogous to ICR positions in mouse DNA, in human DNA, or both. In Boxer genome, examples include candidate ICRs for parent-of-origin-specific expression of the MEST isoform PEG1, INPP5F_V2, the PLAGL1 isoform ZAC1, IGF2R, PEG3, and GNAS loci. In mouse, imprinted genes in these loci play important roles in developmental and physiological processes.

genomics↗

bioRxiv2025

Investigating the Mechanisms and Potential Therapeutic Targets of Vestibular Migraine

BackgroundVestibular Migraine (VM) is a complex neurological disorder with recurrent headaches and various vestibular symptoms. Although it severely affects patients quality of life, its causes and pathophysiology are still unclear, and effective treatments are scarce. The lack of data emphasizes the need for bioinformatics to find key genes and pathways in VM, which could help develop new diagnostic and treatment methods. MethodThe GSE109558 dataset was acquired from the Gene Expression Omnibus (GEO) database. To identify VM - related differentially expressed genes, screening was carried out through limma and Weighted Correlation Network Analysis (WGCNA).The functional analysis of VM - related differentially expressed genes was conducted using three bioinformatics approaches: Gene Ontology (GO) analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, and Gene Set Enrichment Analysis (GSEA). Feature selection was further refined using lasso regression and random forest. Also, CIBERSORT was utilized to analyze the infiltration of immune cells, and Spearmans correlation analysis was employed to explore the correlations between diagnostic differentially expressed genes and immune cells.Finally, the Comparative Toxicogenomics Database (CTD) was utilized to search for corresponding drugs, and molecular docking was performed to explore potential therapeutic targets. ResultSix key feature genes (CABIN1, IFIT3, HEATR1, ARHGDIA, RAB11FIP4, and ZNF444) were identified as potential diagnostic markers for VM. Among these, CABIN1 demonstrated the highest diagnostic potential based on ROC curve performance, highlighting its promise as a diagnostic biomarker.Functional annotation of DEGs revealed their enrichment in biological processes related to inflammation, calcium ion channel regulation, and other pathways likely involved in VM pathophysiology. Through the CTD, drugs like Acetaminophen, bisphenol A, and Phenylephrine were identified. Molecular docking simulation was used to explore their potential therapeutic mechanisms for VM. ConclusionThis study offers important insights into the molecular mechanisms of VM and identifies six key feature genes, with CABIN1 standing out as a potential diagnostic marker.These findings pave the way for further research to validate the diagnostic and therapeutic implications of these genes and pathways.

genetics↗

bioRxiv2025

Enhanced Computational and Experimental Approaches for Comparative Analysis of the Human Mycobiome

The mycobiome is now recognized as a critical part of the human microbial ecosystem, playing a significant role in both health and disease. Mycobiome research is currently in its infancy and relies on fungal-specific primers with challenges in bioinformatics to accurately determine the structure of the mycobiota community. In addition, the majority of computational and experimental methods currently in use have been optimized for bacteria rather than for fungi. Here, we provide a comparative analysis of extraction methodologies for metagenome sequencing and subsequent bioinformatic analysis that will enhance fungal species identification. We utilized cultured mock fungal communities, including both yeast and mold species, to evaluate the efficiency of extraction protocols. We further enhanced computational analysis of the mycobiome, using mock and human metagenome data together with our curated catalogue consisting of 984 fungal genomes specific to the human mycobiome. Application of this optimised workflow for oral and gut samples of healthy individuals detected of novel species from Puccinia and Lentinus genera among the established presence of Malassezia, Rhizophagus, Candida and Saccharomyces genera. In addition, Enterocytozoon, was identified specifically in the gut mycobiome. Our pipeline enabled the comprehensive sampling of all fungal genes in a microbial community within a human sample minimising bias, reducing errors and artefacts from amplification, and providing accurate diversity and abundance data for the human mycobiome.

genomics↗

bioRxiv2025

SyFi: generating and using sequence fingerprints to distinguish SynCom isolates

The plant root microbiome is a complex community shaped by interactions among bacteria, the plant host, and the environment. Synthetic community (SynCom) experiments help disentangle these interactions by inoculating host plants with a representative set of culturable microbial isolates from the natural root microbiome. Studying these simplified communities provides valuable insights into microbiome assembly and function. However, as SynComs become increasingly complex to better represent natural communities, bioinformatics challenges arise. Specifically, accurately identifying, and quantifying SynCom members based on, for example, 16S rRNA amplicon sequencing becomes more difficult due to the high similarity of the target amplicon, limiting downstream interpretations. Here, we present SynCom Fingerprinting (SyFi), a bioinformatics workflow designed to improve the resolution and accuracy of SynCom member identification. SyFi consists of three modules: the first module constructs a genomic fingerprint for each SynCom member based on its genome sequence, accounting for both copy number and sequence variation in the target gene. The second module then extracts a specific region from this genomic fingerprint to create a secondary fingerprint focused on the target amplicon. The third module uses these fingerprints as a reference to perform pseudoalignment-based quantification of SynCom member abundance from amplicon sequencing reads. We demonstrate that SyFi outperforms standard amplicon analysis by leveraging natural intragenomic variation, enabling more precise differentiation of closely related SynCom members. As a result, SyFi enhances the reliability of microbiome experiments using complex SynComs, which more accurately reflect natural communities. This improved resolution is essential for advancing our understanding of the root microbiome and its impact on plant health and productivity in agricultural and ecological settings. SyFi is available at https://github.com/adriangeerre/SyFi. Impact statementSyFi represents a significant advancement in microbiome research by enhancing the accuracy and resolution of synthetic community (SynCom) member identification. By leveraging natural intragenomic variation, SyFi improves the differentiation of closely related microbial strains, addressing a key challenge in amplicon-based sequencing analysis. This increased precision allows researchers to more reliably track microbial dynamics in complex SynCom experiments, leading to deeper insights into microbiome assembly, function, and host-microbe interactions. As a result, SyFi strengthens the interpretability of microbiome studies, ultimately contributing to a better understanding of plant health and productivity in both agricultural and ecological contexts. Data SummaryThe data reported in this article have been deposited in the National Center for Biotechnology Information Short Read Archive BioProject database. SyFi fingerprint generation was run on a collection of 737 human gut-derived bacterial genomes from Forster et al. (2019) (Genomic read data deposited in the ENA under project numbers ERP105624 and ERP012217) and 447 Arabidopsis-derived bacterial genomes (Selten et al., 2024b) (NCBI Project numbers PRJNA1138681, PRJNA1139421 (Genomes), and PRJNA1131834 (Genomic reads)). A list of the closed genomes used for SyFi validation can be found at https://github.com/adriangeerre/SyFi. Subsequently, SyFi was validated on a complex SynCom dataset by pseudoaligning 16S rRNA V3-V4 and V5-V7 amplicon reads (PRJNA1191388) to SyFi-generated fingerprints and comparing this to shotgun metagenomics-sequenced dataset of the same samples in Selten et al. (2024a) (PRJNA1131994). This complex SynCom dataset included the inoculation of the 447 bacterial isolates on Arabidopsis, Barley, and Lotus roots.

genomics↗

bioRxiv2025

Transposon-directed insertion-site sequencing (TraDIS) analysis of Enterococcus faecium using nanopore sequencing and a WebAssembly analysis platform

Vancomycin-resistant Enterococcus faecium (VREfm) are healthcare-associated opportunistic pathogens of global significance. Genetic tools are needed to understand the molecular basis for VREfm clinically relevant phenotypes, such as persistence within the human gut or antimicrobial resistance. Here, we present a transposon-directed insertion-site sequencing (TraDIS) platform optimised for E. faecium. We engineered a transposon delivery plasmid, pIMTA(tetM), that can generate high density transposon mutant libraries, combined with Oxford Nanopore Technology amplicon sequencing to map the transposon insertion sites. We have also customised a bioinformatic analysis suite that includes a WebAssembly-powered visualisation tool called Diana, for TraDIS data exploration and analysis (https://diana.cpg.org.au/). To demonstrate performance of our platform, we assessed the impact of vancomycin exposure on a library of 48,458 unique transposon mutants. As expected, we could confirm the importance of the vanB operon for VREfm vancomycin resistance. Our end-to-end platform for running TraDIS experiments in VREfm will permit accessible, genome-scale, forward genetic screens to probe molecular mechanisms of persistence and pathogenesis. ImportanceThere are limited genetic tools specifically developed and optimized for function in Enterococcus faecium. Here, we addressed this gap through the development of a transposon-directed insertion-site sequencing (TraDIS) platform with a plasmid we engineered to specifically function in E. faecium. The application of nanopore sequencing, with a highly accessible sequence data processing and bioinformatic analysis pipeline streamlines and simplifies the methodology. These developments will allow the functional genomic analysis of important traits involved in the pathobiology of this understudied bacterium. The approach and tools we have described here are likely applicable to other Gram-positive bacteria.

microbiology↗

bioRxiv2025

Unraveling the Gardnerella Pangenome: Insights into Genetic Diversity, Virulence, and Antibiotic Resistance

In recent years, the development of user-friendly and accessible bioinformatic tools has significantly advanced Gardnerella genome analysis. Despite the taxonomic reclassification of the genus in 2019, many studies continue to rely on subgroups/ clades for species identification. This leads to frequent misidentifications, hindering accurate assessments of species-specific features, such as antimicrobial resistance and pathogenic potential. This study aims to address these gaps by employing precise species-level identification to improve our understanding on Gardnerella and its clinical implications. We performed the most extensive pangenome analysis of Gardnerella to date, analyzing 153 genomes (120 from NCBI and 33 newly sequenced). G. vaginalis, G. leopoldii, G. swidsinskii, and G. pickettii species exhibited open pangenomes. The Gardnerella pangenome is highly diverse, with 90% of its genes belonging to the accessory genome. Carbohydrate transport and metabolism contributed the most for the primary genomic differences observed among Gardnerella species. Additionally, the search for antibiotic resistance genes (ARGs) revealed lsaC gene as the most prevalent ARG, potentially conferring resistance to clindamycin, a commonly prescribed antibiotic for treating bacterial vaginosis (BV). The clustering of Gardnerella genomes mimics the core genome phylogeny, pointing to species specific virulence-associated factors, highlighting important factors such as vaginolysin and sialidases. Our comprehensive pangenome analysis shows that Gardnerella species are well-adapted within the urogenital tract, with identified virulence factors and metabolic capabilities potentially enhancing the pathogenicity of some strains. Future studies should explore Gardnerellas ecological interactions and pathogenic mechanisms within the urogenital microbiome. ImportanceIn recent years, the availability of user-friendly and accessible bioinformatics tools has led to a surge in studies analyzing the Gardnerella genome. Despite the redefinition of the genus in 2019, many researchers continue to rely on subgroups or clades for Gardnerella identification. Our study builds upon the updated taxonomy of Gardnerella, offering a more comprehensive understanding of its genetic diversity. By conducting a pangenome analysis of 153 Gardnerella genomes, we uncover significant genetic variability, species-specific virulence factors, and the widespread presence of antibiotic resistance genes, highlighting the urgent need for precise species-level identification. The identification of novel genomic features and antibiotic resistance profiles not only enhances our understanding of Gardnerellas clinical implications but also sheds light on its metabolic and virulence potential. These insights help clarify the pathogenic mechanisms of Gardnerella and provide a more refined understanding of its role in the urogenital microbiome.

microbiology↗

bioRxiv2025

Culturomics from field-grown crop plants using dilution-to-extinction, two-step library preparation and amplicon sequencing

Culturomics approaches have advanced microbial research by enabling the high-throughput isolation and characterization of a broader range of bacterial taxa, including some previously considered unculturable. Here, we present the testing and optimization of a protocol for isolating and identifying hundreds of cultivable microbes from field-grown plants. This protocol was tested and optimized using the root microbiomes of field-grown corn and pea plants under varying environmental conditions in North Dakota, USA. By employing dilution-to-extinction culturing and a two-step barcoding PCR strategy targeting the V4 region of the 16S rRNA gene, we identified over 200 unique bacterial isolates. The optimized bioinformatic pipeline, built around the DADA2 package, ensured accurate amplicon sequence variant (ASV) detection and taxonomy assignment. The resulting bacterial isolates span diverse phylogenetic groups, including plant-associated taxa known for promoting plant growth and mitigating stress. Our findings highlight the value of culturomics in generating microbial collections for synthetic community design and advancing plant-microbe interaction research. The protocols scalability, cost-effectiveness, and robust performance demonstrate its potential for widespread application in agricultural microbiome studies. Impact statementHigh-throughput isolation and characterization of cultivable microbes from plant microbiomes is crucial for advancing microbiome research. However, efficiently recovering a diverse range of bacterial taxa remains a challenge due to high costs and labor-intensive protocols. Our optimized culturomics protocol integrates dilution-to-extinction culturing with a two-step barcoding PCR strategy, enhancing recovery rates and reducing costs while maintaining high accuracy. By employing next-generation sequencing (NGS) and a streamlined bioinformatic pipeline built around the robust DADA2 workflow for amplicon sequencing, the method enables the scalable recovery of hundreds of unique bacterial isolates. This approach makes significant advancements over traditional culturing methods and other high-throughput cultivation protocols, providing an efficient, cost-effective platform for generating microbial collections essential for synthetic communities, comparative genomics, and agricultural microbiome applications. Data summaryAll protocols, sequence data, and analysis codes have been made publicly available in open-access repositories. The authors confirm all supporting data, code, and protocols have been provided within the article or through supplementary data files.

microbiology↗

bioRxiv2025

New insights into bryophyte arabinogalactan-proteins from a hornwort and a moss model organism

Two bryophyte models, the hornwort Anthoceros agrestis (Anthoceros) and the moss Physcomitrium patens (Physcomitrium), were analysed for presence of arabinogalactan-proteins (AGPs), as emergence of these signalling glycoproteins in evolution is still under debate. AGPs of both species had a galactan core structure similar to that of other bryophyte and fern AGPs, but different to angiosperm AGPs, as 1,6-linked pyranosidic galactose was almost absent. In the Physcomitrium AGP, furanosidic arabinose (Araf) linkages were mainly terminal (10 %) or 5-linked (13 %), while in Anthoceros, terminal Araf dominated (26 %) and was accompanied by very low amounts of 1,3-Araf and pyranosidic terminal Ara. Unusual 3-O-methylated pyranosidic rhamnose, which has never been detected in cell walls of angiosperms, occurred in both bryophyte AGPs (5 % in Anthoceros, 10 % in Physcomitrium AGP), This was comparable to AGPs of other spore-producing land plants. Bioinformatic search in genomes of 14 bryophyte species revealed that most hornworts lack sequences encoding GPI-anchored classical AGPs. Generally, hornworts contained less sequences for AGP protein backbones compared to the liverwort Marchantia polymorpha and the moss Physcomitrium patens. All of them comprise sequences for chimeric AGPs, and among those surprisingly xylogen-like AGPs. Homologous sequences encoding glycosyltransferases and other enzymes involved in the synthesis and decoration of the AGP galactan framework were present in all bryophyte genomes. Immunocytochemistry of Anthoceros tissue detected AGPs at the plasma membrane/cell wall interface but also at vacuolar and vesicle membranes, suggesting new functions of AGPs in bryophytes. SIGNIFICANCE STATEMENTExtant bryophytes are key to infer evolution of the most recent common ancestor of all land plants. As cell walls were important for adaptation to life on land, we analysed arabinogalactan-proteins from the hornwort Anthoceros agrestis and the moss Physcomitrium patens and detected terminal 3-O-methylrhamnose residues, which also occur in fern AGPs but not in angiosperms. Bioinformatic search for AGP protein backbones and glycosyltransferases in bryophyte genomes further strengthens understanding of AGP evolution during terrestrialization.

plant biology↗

bioRxiv2025

Complex carbohydrates catabolism capacity of bladder microbiota inhabiting healthy and overactive female bladders

Overactive bladder syndrome (OAB) is a poorly understood symptom complex that affects 40% of females over the age of 40, with clinical features including urinary urgency and incontinence. In addition to inflammation, oxidative stress, nerve damage and reduced blood flow, alterations in the urinary microbiome (urobiome), specifically in bladder bacterial diversity, have been reported to be associated with OAB. Bladder bacteria are members of the urobiome along with viruses, archaea, fungi, and protozoans. The urobiome metabolism, particularly in relationship to host complex sugars (glycans), has been investigated recently in terms of glycosaminoglycan (GAG) utilization. Nevertheless, other urinary free oligosaccharides (FOS) have not yet been explored in both OAB and urobiome contexts. Similarly, a comprehensive search of microbial genes involved in host glycan metabolism in the bladder of adult females with or without OAB has not yet been reported. In this study, we investigated urinary FOS by mass spectrometry in women without OAB (asymptomatic controls), with OAB without incontinence (dry OAB), or with OAB with incontinence (wet OAB or urgency urinary incontinence, UUI). We also questioned the ability of commensal bladder bacteria to digest these FOS and other glycans, using bioinformatic tools to query publicly available bladder genomes isolated from affected and unaffected adult females to identify genes that encode polysaccharide lyases (PL) and glycoside hydrolases (GH). Our results show that FOS are present in a similar level in affected and unaffected controls with a few exceptions: ten FOS were found to differ between the OAB dry groups and either the control (four) or UUI (six) groups. Our results indicate that bladder microbiota from adult females both with and without OAB have the genetic capacity to digest host glycans and dietary sugars with subtle differences. Bladder bacteria isolated from females with OAB possess more GH/PL genes for host mucins, whereas bladder bacteria from controls possess more GH/PL genes for GAG digestion. In the control group, specifically, the genus Streptococcus possessed genes for the PL8 and GH88 enzymes, known to be involved in host GAG digestion. These novel bioinformatic data can enable future biochemical exploration of the urobiomes metabolism toward specific host glycans, such as GAGs, mucins O-glycans and N-glycans.

biochemistry↗

bioRxiv2025

Acidification by nitrogen metabolism triggers extracellular biopolymer production in an oleaginous yeast

The oleaginous yeast Rhodotorula toruloides is a natural producer of lipids and carotenoids. However, its potential as a producer of extracellular biopolymers remains unexplored. Hence, we aimed to evaluate the R. toruloides CCT0783 for extracellular biopolymer production. We found that the carbon-to-nitrogen ratio influenced exopolysaccharide (EPS) production, reaching 5.84 {+/-} 0.45 g/L under glucose-rich conditions. We characterized the crude biopolymer using FTIR and GC-MS, identifying polysaccharide peaks, wherein EPS consisted of (%) glucose (88.83 {+/-} 4.87), galactose (5.50 {+/-} 1.50), mannose (4.80 {+/-} 1.57), and xylose and arabinose (0.87 {+/-} 0.04) monomers. The dried EPS also contained a fractional presence of protein (1.0%). Interestingly, inorganic, but not organic, nitrogen metabolism was associated with the acidification of the culture environment and simultaneous EPS production. A comparison between non-buffered and buffered media indicated that EPS was produced when the final pH was around or below 2, which was observed in the former but not in the latter. Finally, a comparative bioinformatics analysis allowed us to map a putative EPS biosynthesis and transport pathways, as well as regulators of intracellular pH maintenance. In conclusion, our study demonstrates R. toruloides potential as an extracellular microbial biopolymer producer, enabling its development as a cell factory. ImportanceMicrobial biopolymers are extensively investigated for their impact on the environment and health. However, developing a biotechnology process for producing such biopolymers remains challenging despite their potential for valuable applications. Considering this opportunity, we investigated the oleaginous yeast Rhodotorula toruloides as a producer of extracellular biopolymers. Our study describes the conditions of exopolysaccharide (EPS) biosynthesis in R. toruloides. This extracellular biopolymer could have a wide range of applications, from gelling agents in pharmaceuticals to emulsifiers in the food industry. Furthermore, our comparative bioinformatics analysis results could be useful for metabolic engineering and developing Rhodotorula cell factories.

microbiology↗