Biology subjects

Bertelli, C.

Publications and source records attributed to Bertelli, C..

12 recordsLinked to original sources

bioRxiv2026

Microbial community profiles of the snake cloaca in the presence and absence of Chlamydiota

Chlamydiota are obligate intracellular bacteria detected in snake cloacal microbiota, yet their biological significance remains poorly understood. Members range from recognised pathogens, such as Chlamydia serpentis, to potential environmental symbionts, raising questions about whether they represent transient contaminants, persistent colonisers, or subclinical infectious agents. Despite the cloaca serving as a primary site of chlamydial shedding in snakes, its interaction with the broader cloacal microbiota remains unexplored. Following pan-Chlamydiota PCR screening of 137 captive snakes across five collections, 52 samples (caenophidian snakes) (27 Chlamydiota-positive, 25 Chlamydiota-negative) were retained after V3-V4 16S rRNA sequencing and quality filtering. Presence of Chlamydiota was not associated with significant differences in alpha diversity or overall community composition, though it was related to greater within-community compositional heterogeneity. Differential abundance and multivariate analyses identified several enriched and depleted genera, with Lachnospiraceae and Copromonas consistently negatively associated with Chlamydiota across all three methods. Co-occurrence network analysis recovered more associations and a higher proportion of positive edges in the presence of Chlamydiota, with an expansion of anaerobic taxa. Inferred functional composition did not differ globally between groups; however, elastic net stability selection identified subtle pathway-specific differences, including enrichment of proteolytic and mycobacterial pathways in infected snakes. Our findings suggest subtle infection-associated community shifts that do not fully conform to established mammalian paradigms in which Chlamydia species behave either as gastrointestinal commensals or as cervicovaginal pathogens, highlighting the need for multi-omics approaches in larger cohorts of caenophidian and henophidian wild and captive snakes to better characterise the mechanistic basis and generalisability of these associations.

microbiology↗

bioRxiv2026

Comparative analysis of cloacal microbiota in Henophidia (non-venomous) and Caenophidia (venomous) snakes

The evolutionary divergence between Henophidia (non-venomous) and Caenophidia (venomous) snakes has produced distinct cranial morphologies, digestive strategies, and presence of specialised venom systems in Caenophidia, yet the extent to which these long-standing diverging trajectories have shaped cloacal microbiota assembly remains poorly understood. We characterised cloacal microbiota in 70 captive snakes (52 Caenophidia, 18 Henophidia) by 16S rRNA amplicon sequencing. Beta diversity was tested by PERMANOVA, differential abundance by ANCOM-BC2, community types by Dirichlet Multinomial Mixture modelling (DMM), and microbial interactions by SparCC co-occurrence networks. Predicted functional potential (PICRUSt2) was analysed by ALDEx2 differential abundance testing and elastic net feature selection. Henophidia exhibited significantly higher bacterial richness and greater compositional variability than Caenophidia. Community composition showed clade-associated differences (PERMANOVA) and partitioned into two distinct DMM community types. The Henophidia network was 11.9-fold denser and more modular, with Burkholderiaceae as a keystone hub, whereas the Caenophidia network was sparse. Henophidia showed predicted enrichment in C1 metabolic pathways (ethylmalonyl-CoA, formaldehyde assimilation I, glycine betaine degradation I, methylaspartate cycle), aromatic compound catabolism, and nitrogen recycling, whilst Caenophidia showed enrichment in allantoin and glucuronate degradation. This multi-method analysis suggests Burkholderiaceae as a candidate keystone taxon in Henophidia and indicates that phylogenetic clade is a major contributor to cloacal microbiota structure. The lower richness in Caenophidia raises a testable hypothesis that broad-spectrum antimicrobial activity of their venom components may selectively filter susceptible microbial lineages, motivating future shotgun metagenomic studies in wild populations of snakes.

ecology↗

bioRxiv2026

Analysing antimicrobial resistance mobility patterns using a diverse dataset of over 8000 bacterial species

2.Advances in genomics have enhanced surveillance of antimicrobial resistance (AMR), yet the factors governing resistance gene mobility, and therefore their risk of spread, remain poorly characterized. Here, we analyzed AMR gene distributions across thousands of bacterial genomes from NCBI RefSeq, encompassing clinical, agricultural and environmental isolates, to quantify associations with plasmids and predicted mobile genomic islands. AMR genes were identified using the Resistance Gene Identifier, and in addition to plasmid identification, mobile chromosomal elements were predicted using IslandViewer 4. Analysing both the full dataset and subsets of data with corrections for sampling bias, we show that known AMR genes are significantly enriched in mobile regions overall. However, stratification by resistance mechanism supported marked heterogeneity: certain drug classes and mechanisms are strongly associated with mobile elements, whereas others are predominantly chromosomal and non-mobile. Notably, mechanisms with specialized functions showed higher mobility, consistent with their role as "ecological public goods" that need not be present in all cells to confer community-level benefit. Differences were also observed across bacteria with distinct cell envelope structures. Together, these findings lay the groundwork for predictive models of AMR gene mobility and provide a framework for incorporating gene-level mobility into AMR risk assessment and antimicrobial stewardship policy. 3. Impact statementUnderstanding which antimicrobial resistance (AMR) genes are most likely to spread is central to managing resistance in clinical, agricultural, and environmental settings. This study reports a large-scale, systematic analysis of antimicrobial resistance (AMR) gene mobility across >8000 bacterial species, spanning diverse clinical and other ecological sources. By linking resistance mechanisms to their genomic location (plasmids, genomic islands, or the rest of chromosomes), our study demonstrates that AMR genes are overall enriched in mobile elements, but that mobility varies substantially by mechanism and bacterial context. In particular, functionally specialized resistance mechanisms are more frequently associated with mobile elements, consistent with an "ecological public goods" model for AMR dissemination. These findings extend beyond gene-specific case studies to identify generalizable patterns that help explain why some resistance determinants spread more readily than others. The breadth of relevance spans clinical microbiology, evolutionary biology, environmental microbiology, agri-foods, and public health. The work provides evidence supporting an improved framework for AMR mobility risk assessment, and antimicrobial stewardship strategies, with direct implications for forecasting the durability of existing and future antibiotics. 4. Data summaryThe complete dataset and analysis code used to generate the results can be accessed via the Open Science Framework (OSF) repository under DOI:10.17605/OSF.IO/WE3TX

genomics↗

bioRxiv2025

SERINC5 Is the Primary Target of Retroviral Antagonists Among Human SERINC Paralogs and Requires a Tri-Cysteine Motif for Its Counteraction by HIV-1 Nef

The human transmembrane protein SERINC5 incorporates into budding HIV-1 particles and inhibits their fusion with new target cells. Among the five members of the SERINC family, SERINC3 and SERINC1 exhibit modest antiviral activity, whereas SERINC2 lacks this function. HIV-1 counteracts SERINC5 by promoting its endocytosis in a Nef- dependent manner. SERINC5 is also downregulated by glycoGag of Moloney murine leukaemia virus (MoMLV) and by the S2 glycoprotein of equine infectious anaemia virus (EIAV). Here, we demonstrate that all human SERINCs, despite their differing antiviral potencies, are incorporated into HIV-1 virions. SERINC5 is the most sensitive to viral antagonists, whereas its paralogs display moderate (SERINC2, SERINC3) or no (SERINC1) susceptibility, suggesting that SERINC5 has exerted stronger selective pressure on retroviral evolution. To identify the determinants of SERINC5 sensitivity to Nef, we performed structure- guided mutagenesis and identified a critical tri-cysteine motif (Cys355, Cys356, Cys358) within intracellular loop 4 (ICL4) required for Nef-mediated downregulation. Substitution of these residues with glutamines conferred resistance to Nef antagonism. While this motif is essential for SERINC5 internalization by diverse HIV-1 and SIV Nef alleles, it is dispensable for downregulation by MoMLV glycoGag and EIAV S2, indicating that these viral antagonists exploit distinct structural features of SERINC5. Finally, we show that SERINC5 is palmitoylated at the tri-cysteine motif, raising the possibility that this modification modulates its sensitivity to Nef. Together, these results confirm the central role of SERINC5 as a target of retroviral counteraction and highlight the crucial importance of ICL4 in mediating its engagement by Nef. ImportanceThe SERINC family of multipass transmembrane proteins includes host factors capable of restricting retrovirus infectivity. Among the five human paralogs, SERINC5 displays the strongest antiviral activity and is the only member efficiently targeted by all known retroviral antagonists, including HIV-1 Nef, MLV glycoGag, and the EIAV S2. This selectivity indicates that the evolutionary pressure exerted by SERINC proteins on retroviruses has been primarily driven by SERINC5 rather than by its relatives. Through structure-guided mutagenesis, we identified a tri-cysteine motif within intracellular loop 4 as a crucial determinant for SERINC5 downregulation by Nef, providing a molecular explanation for its distinctive susceptibility. These findings establish SERINC5 as the principal target of viral counteraction and suggest that its molecular features have contributed to shaping the adaptation of primate lentiviral Nef proteins to the host.

microbiology↗

bioRxiv2025

Engraftment of donor phageome via fecal microbiota transplantation in recurrent C. difficile infection: a prospective observational study

1The high efficacy of fecal microbiota transplantation (FMT) in treating recurrent Clostridioides difficile infection (rCDI) is often attributed to the restoration of the bacterial community. However, factors beyond bacteria, such as bacteriophages (phages), may also play a critical role in FMTs success. We aimed to evaluate the preservation of the phage community (phageome) along the FMT production process following Good Manufacturing Practices (GMP) at the Lausanne University Hospital (CHUV), and the engraftment of the phages in patients receiving FMT to treat rCDI. Samples from one donor were used to test the need for amplification and to compare spin-column versus magnetic bead purification. Then, sixteen samples, from four donations of a second healthy donor, were collected at various production stages - fresh, frozen, homogenized, and encapsulated - for phageome analysis. The phage community profiles of three patients before, at 14, and 60 days after FMT were examined to evaluate donor phage engraftment. Phages were detected in all sample types, and samples clustered by donation, indicating that the pre-processing steps did not significantly alter the phage profile. The recipients phageome prior to FMT was characterized by low diversity, each recipient being dominated by a different phage. In contrast, the profile 14 days post-FMT demonstrated the engraftment of donor-derived phages, which persisted at 60 days. Most were predicted to be temperate phages of the Caudoviricetes class infecting members of the Clostridia bacterial class, and Lachnospiraceae and Oscillospiraceae bacterial families. Our findings suggest that the CHUV production process for oral FMT capsules preserves the phage community and that donor phages successfully engraft in recipients. Further larger-scale studies and intervention trials will help elucidate the mechanisms underlying the potential of phages in FMTs efficacy.

microbiology↗

bioRxiv2025

HIV-1 Infection Regulates Gene Expression by Altering Alternative Polyadenylation Through CPSF6 and CPSF5 Delocalization

HIV-1 viral core transport to the nucleus, an early infection event, triggers cleavage and polyadenylation specificity factor (CPSF)5 and CPSF6 to translocate from paraspeckles to nuclear speckles, forming puncta-like structures. CPSF5 and CPSF6 regulate alternative polyadenylation (APA), which governs approximately 70% of gene expression. APA alters the lengths of mRNA 3-untranslated regions (3-UTRs), which contain regulatory signals influencing RNA stability, localization, and function. We investigated whether HIV-1 infection-induced changes in CPSF5 and CPSF6 subcellular localization are accompanied by changes in cellular function. Using two independent methodologies to assess APA in human primary CD4+ T cells and cell lines, we found that HIV-1 infection regulates APA, dependent on the interaction of CPSF6 with the viral capsid, recapitulating the APA phenotype observed in CPSF6 knockout cells. Our study demonstrates that HIV-1 infection leverages the interaction between the viral capsid and CPSF6 to co-opt cellular processes, alter gene expression, and drive pathogenesis.

microbiology↗

bioRxiv2025

zAMP and zAMPExplorer: Reproducible Scalable Amplicon-based Metagenomics Analysis and Visualization

SummaryTo enable flexible, scalable, and reproducible microbiota profiling, we have developed zAMP, an open-source bioinformatics pipeline for the analysis of amplicon sequence data, such as 16S rRNA gene for bacteria and archaea or ITS for fungi. zAMP is complemented by two modules, one to process databases to optimize taxonomy assignment, and the second to benchmark primers, databases and classifier performances. Coupled with zAMPExplorer, an interactive R Shiny application that provides an intuitive interface for quality control, diversity analysis, and statistical testing, this complete toolbox addresses both research and clinical needs for microbiota profiling. Availability and ImplementationComprehensive documentation and tutorials are provided alongside the source code of zAMP and zAMPExplorer software to facilitate installation and use. zAMP is implemented as a Snakemake workflow, ensuring reproducibility by running within Singularity or Docker containers, and is also easily installable via Bioconda. The zAMPExplorer application, designed for visualization and statistical analysis, can be installed using either a Docker image or from R-universe.

bioinformatics↗

bioRxiv2024

Decoding the biogenesis of HIV-induced CPSF6 puncta and their fusion with the nuclear speckle

Viruses rely on host cellular machinery for replication. After entering the nucleus, the HIV genome accumulates in nuclear niches where it undergoes reverse transcription and integrates into neighboring chromatin, promoting high transcription rates and new virus progeny. Despite antiretroviral treatment, viral genomes can persist in these nuclear niches and reactivate upon treatment interruption, raising the possibility that they could play a role in the establishment of viral reservoirs. The post-nuclear entry dynamics of HIV remain unclear, and understanding these steps is critical for revealing how viral reservoirs are established. In this study, we elucidate the formation of HIV-induced CPSF6 puncta and the domains of CPSF6 essential for this process. We also explore the roles of nuclear speckle scaffold factors, SON and SRRM2, in the biogenesis of these puncta. Through genetic manipulation and depletion experiments, we demonstrate the key role of the intrinsically disordered region of SRRM2 in enlarging nuclear speckles in the presence of the HIV capsid. We identify the FG domain of CPSF6 as essential for both puncta formation and binding to the viral core, which serves as the scaffold for CPSF6 puncta. While the low-complexity regions (LCRs) modulate CPSF6 binding to the viral capsid, they do not contribute to puncta formation, nor do the disordered mixed charge domains (MCDs) of CPSF6. Interestingly, the FG peptide facilitates viral replication. These results demonstrate how HIV evolved to hijack host nuclear factors, enabling its persistence in the host. Of note, this study provides new insights into the underlying interactions between host factors and viral components, advancing our understanding of HIV nuclear dynamics and offering potential therapeutic targets for preventing viral persistence. HighlightsO_LIThe formation of HIV-induced CPSF6 puncta is critical for restoring HIV-1 nuclear reverse transcription. C_LIO_LICPSF6 protein lacking the FG peptide cannot bind to the viral core, thereby failing to form HIV-induced CPSF6 puncta. C_LIO_LIThe FG peptide, rather than low-complexity regions (LCRs) or the mixed charge domains (MCDs) of the CPSF6 protein, drives the formation of HIV-induced CPSF6 puncta. C_LIO_LIThe presence of the FG peptide plays a pivotal role in facilitating viral replication within macrophage-like cells. C_LIO_LIHIV-induced CPSF6 puncta form individually and later fuse with nuclear speckles (NS) via the intrinsically disordered region (IDR) of SRRM2. C_LI

microbiology↗

bioRxiv2023

zDB: bacterial comparative genomics made easy

The analysis and comparison of genomes relies on different tools for tasks such as annotation, orthology prediction and phylogenetic inference. Most tools are specialized for a single task and additional efforts are necessary to integrate and visualize the results. To fill this gap, we developed zDB, an application that integrates an analysis pipeline and a visualization platform. Starting from annotated Genbank files, zDB identifies orthologs and infers a phylogeny for each orthogroup. A species phylogeny is also constructed from shared single-copy orthologs. The results can be enriched with Pfam protein domain prediction, COG and KEGG annotations and Swissprot homologs. The web application allows searching for specific genes or annotations, running Blast queries and comparing genomic regions and whole genomes. The metabolic capacities of organisms can be compared at either the module or pathway levels. Finally, users can run queries to examine the conservation of specific genes or annotations across a chosen subset of genomes and display the results as a list of genes, Venn diagram or heatmaps. Those features will make zDB useful for both bioinformaticians and researchers more accustomed to laboratory research. zDB is perfectly suited to process datasets with tens to hundred of genomes on a desktop machine. IMPORTANCEGenome comparison and analysis rely on many independent tools, leaving to scientists the burden to integrate and visualize their results for interpretation. To alleviate this burden, we have built zDB, a comparative genomics tool that includes both an analysis pipeline and a visualization platform. The analysis pipeline automates gene annotation, orthology prediction and phylogenetic inference, while the visualization platform allows scientists to easily explore the results in a web browser. Among other features, the interface allows users to visually compare whole genomes and targeted regions, assess the conservation of genes or metabolic pathways, perform Blast searches or look for specific annotations. Altogether, this tool will be useful for a broad range of applications in comparative studies between two to hundred genomes. Furthermore, it is designed to allow sharing datasets easily at local or international scale, thereby supporting exploratory analyses for non-bioinformaticians on the genome of their favorite organisms.

bioinformatics↗

bioRxiv2021

Immunogenicity and pre-clinical efficacy of an OMV-based SARS-CoV-2 vaccine

The vaccination campaign against SARS-CoV-2 relies on the world-wide availability of effective vaccines, with a potential need of 20 billion vaccine doses to fully vaccinate the world population. To reach this goal, the manufacturing and logistic processes should be affordable to all countries, irrespectively of economical and climatic conditions. Outer membrane vesicles (OMVs) are bacterial-derived vesicles that can be engineered to incorporate heterologous antigens. Given the inherent adjuvanticity, such modified OMVs can be used as vaccine to induce potent immune responses against the associated protein. Here we show that OMVs engineered to incorporate peptides derived from the receptor binding motif (RBM) of the spike protein from SARS-CoV-2 elicit an effective immune response in immunized mice, resulting in the production of neutralizing antibodies. The immunity induced by the vaccine is sufficient to protect K18-hACE2 transgenic mice from intranasal challenge with SARS-CoV-2, preventing both virus replication in the lungs and the pathology associated with virus infection. Furthermore, we show that OMVs can be effectively decorated with RBM peptides derived from a different genetic variant of SARS-CoV-2, inducing a similarly potent neutralization activity in vaccinated mice. Altogether, given the convenience associated with ease of engineering, production and distribution, our results demonstrate that OMV-based SARS-CoV-2 vaccines can be a crucial addition to the vaccines currently available.

immunology↗

bioRxiv2020

Guidelines for accurate genotyping of SARS-CoV-2 using amplicon-based sequencing of clinical samples

BackgroundSARS-CoV-2 genotyping has been instrumental to monitor virus evolution and transmission during the pandemic. The reliability of the information extracted from the genotyping efforts depends on a number of aspects, including the quality of the input material, applied technology and potential laboratory-specific biases. These variables must be monitored to ensure genotype reliability. The current lack of guidelines for SARS-CoV-2 genotyping leads to inclusion of error-containing genome sequences in studies of viral spread and evolution. ResultsWe used clinical samples and synthetic viral genomes to evaluate the impact of experimental factors, including viral load and sequencing depth, on correct sequence determination using an amplicon-based approach. We found that at least 1000 viral genomes are necessary to confidently detect variants in the genome at frequencies of 10% or higher. The broad applicability of our recommendations was validated in >200 clinical samples from six independent laboratories. The genotypes of clinical isolates with viral load above the recommended threshold cluster by sampling location and period. Our analysis also supports the rise in frequency of 20A.EU1 and 20A.EU2, two recently reported European strains whose dissemination was favoured by travelling during the summer 2020. ConclusionsWe present much-needed recommendations for reliable determination of SARS-CoV-2 genome sequence and demonstrate their broad applicability in a large cohort of clinical samples.

genomics↗

bioRxiv2018

The Integrated Rapid Infectious Disease Analysis (IRIDA) Platform

Whole genome sequencing (WGS) is a powerful tool for public health infectious disease investigations owing to its higher resolution, greater efficiency, and cost-effectiveness over traditional genotyping methods. Implementation of WGS in routine public health microbiology laboratories is impeded by a lack of user-friendly automated and semi-automated pipelines, restrictive jurisdictional data sharing policies, and the proliferation of non-interoperable analytical and reporting systems. To address these issues, we developed the Integrated Rapid Infectious Disease Analysis (IRIDA) platform (irida.ca), a user-friendly, decentralized, open-source bioinformatics and analytical web platform to support real-time infectious disease outbreak investigations using WGS data. Instances can be independently installed on local high-performance computing infrastructure, enabling private and secure data management and analyses according to organizational policies and governance. IRIDAs data management capabilities enable secure upload, storage and sharing of all WGS data and metadata. The core platform currently includes pipelines for quality control, assembly, annotation, variant detection, phylogenetic analysis, in silico serotyping, multi-locus sequence typing, and genome distance calculation. Analysis pipeline results can be visualized within the platform through dynamic line lists and integrated phylogenomic clustering for research and discovery, and for enhancing decision-making support and hypothesis generation in epidemiological investigations. Communication and data exchange between instances are provided through customizable access controls. IRIDA complements centralized systems, empowering local analytics and visualizations for genomics-based microbial pathogen investigations. IRIDA is currently transforming the Canadian public health ecosystem and is freely available at https://github.com/phac-nml/irida and www.irida.ca.\n\nImpact StatementWhole genome sequencing (WGS) is revolutionizing infectious disease analysis and surveillance due to its cost effectiveness, utility, and improved analytical power. To date, no \"one-size-fits-all\" genomics platform has been universally adopted, owing to differences in national (and regional) health information systems, data sharing policies, computational infrastructures, lack of interoperability and prohibitive costs. The Integrated Rapid Infectious Disease Analysis (IRIDA) platform is a user-friendly, decentralized, open-source bioinformatics and analytical web platform developed to support real-time infectious disease outbreak investigations using WGS data. IRIDA empowers public health, regulatory and clinical microbiology laboratory personnel to better incorporate WGS technology into routine operations by shielding them from the computational and analytical complexities of big data genomics. IRIDA is now routinely used as part of a validated suite of tools to support outbreak investigations in Canada. While IRIDA was designed to serve the needs of the Canadian public health system, it is generally applicable to any public health and multi-jurisdictional environment. IRIDA enables localized analyses but provides mechanisms and standard outputs to enable data sharing. This approach can help overcome pervasive challenges in real-time global infectious disease surveillance, investigation and control, resulting in faster responses, and ultimately, better public health outcomes.\n\nDATA SUMMARYO_LIData used to generate some of the figures in this manuscript can be found in the NCBI BioProject PRJNA305824.\nC_LI

bioinformatics↗