Biology subjects

Forster, S. C.

Publications and source records attributed to Forster, S. C..

12 recordsLinked to original sources

bioRxiv2026

The rabies virus interferon antagonist P protein selectively modulates interferon signalling to inhibit antiviral gene expression while supporting proviral gene expression

Type-I IFNs mediate the principle antiviral response of cells by controlling the expression of hundreds of IFN-regulated genes (IRGs), many of which have antiviral functions. The best understood mediators of IFN signalling are STAT1 and STAT2, and STAT1/2-dependent gene induction is conventionally viewed as the primary outcome of type-I IFN signalling. To overcome the IFN response, viruses express proteins called IFN-antagonists, which target IFN signalling pathways (e.g. rabies virus P-protein (RABV-P) binds and inhibits IFN-activated STAT1/2) and so are typically considered to mediate shutdown of the IFN response. However, IFN signalling is not exclusively antiviral, with many IRGs reported to be required for or to facilitate infection by certain viruses. How viruses coordinate the apparent need to suppress certain antiviral IRGs, while presumably permitting the expression of others, including proviral IRGs is poorly defined. However, it has been shown that type-I IFN can activate multiple pathways other than classical STAT1/2, so discriminatory targeting of specific pathways by IFN-antagonists may enable highly selective regulation of distinct IRGs, dependent on the requirements of the specific virus. Here, we analyse the global effects of RABV-P protein on the IFN-regulated transcriptome. We confirm that IFN not only stimulates (IFN-stimulated genes, ISGs) but also represses (IFN-repressed genes, IRepGs) a large number of IRGs. Notably, our data indicate that RABV-P protein can antagonize both the IFN-dependent stimulation and repression of certain ISGs and IRepGs, without significantly impacting the expression of large proportion of IRGs. Antagonized ISGs included classical antiviral genes, while non-antagonized ISGs include genes with pro-viral effects on RABV. Transcription factor analysis indicated that RABV-P antagonizes STAT1/2-regulated IRGs, but not IRGs regulated by other pathways including MAP-kinase pathways, which are important to process such as cell survival and inflammatory response. These data indicate that selective modulation rather than global inhibition of IFN-signalling has beneficial outcomes for replication. The data also support the significance of IRepGs, and their modulation by IFN antagonists in viral infection. Significance StatementThe ability of viruses to evade immunity is critical to disease and so presents targets for the development of interventions. The principle antiviral response of cells is mediated by interferons (IFNs), which activate STAT proteins to induce hundreds of genes including antiviral genes. Viruses counter this by expressing IFN-antagonist proteins, many of which directly inhibit STATs. IFN-antagonists are typically considered to shut down IFN responses, but many IRGs have pro-viral functions. How viruses coordinate the apparent need to antagonise some IRGs but not others are poorly understood. Using a well-characterised viral IFN-antagonist, we find that by selectively targeting certain IFN-activated pathways, IFN-antagonists can inhibit effects of IFN on specific subsets of IRGs (including antiviral genes) without affecting others (including proviral genes); thus, IFN-antagonists may be redefined as selective IFN-modulators.

systems biology↗

bioRxiv2026

Predictable induction responses of gut prophages

Temperate bacteriophages are dominant members of the human gut microbiome that can infect and lyse their bacterial hosts or integrate as prophages. During this integrated state, prophages exhibit extensive control over host physiology and lysis via induction. Here, we studied a diverse collection of Bacteroidales isolates, which are amongst the most abundant bacterial orders within the human gut, identifying 902 high-quality prophage genomes present within 305 isolates, 240 of which were poly-lysogens. Despite their prevalence, our understanding of the function and induction triggers of prophages is limited. To predict prophage induction, we employed an iterative profile Hidden Markov Model search across divergent bacterial hosts to identify prophage regulatory components. We found 197 Bacteroidales prophages encoding complete CI-like repressor proteins, which initiate induction upon DNA damage. We selected Bacteroides thetaiotaomicron strain Bt_806 to characterise further as it harboured six diverse prophages, including the prevalent and abundant prophage LoVE, which was the only integrated prophage encoding a complete CI-like repressor. Transcriptomics revealed phage LoVE was routinely induced upon DNA damage, while the five co-habiting prophages remained stably integrated yet exhibited transcriptionally active genes associated with regulation, prophage maintenance, and uncharacterised functions. Finally, we selected an additional eleven Bacteroidales poly-lysogens, confirming that integrated prophages encoding complete CI-like repressors were reliably induced upon DNA damage. Together, we demonstrate that mechanistic understanding of prophage induction linked with identification of regulatory genes enables selective and predictable induction of gut prophage species as a potential tool to modulate the microbiome.

microbiology↗

bioRxiv2024

A widespread hydrogenase drives fermentative growth of gut bacteria in healthy people

Molecular hydrogen (H2) is among the most central, but least understood, metabolites in the human gastrointestinal tract (gut). H2 gas is produced in large quantities during bacterial fermentation and consumed as an energy source by bacteria and archaea. Disruption of H2 cycling is linked to gastrointestinal disorders, infections, and cancers, with H2 used as an indicator of gut dysfunction through breath tests. Despite this, the microorganisms, pathways, and enzymes mediating H2 production remain unresolved. Here we show that a previously uncharacterised enzyme, the group B [FeFe]-hydrogenase, drives most fermentative H2 production in the human gut. Analysis of stool, biopsy, and isolate (meta)genomes and (meta)transcriptomes show this hydrogenase is encoded by most gut bacteria and is highly expressed. Through analysis of 19 taxonomically diverse gut isolates, the group B [FeFe]-hydrogenase produces large amounts of H2 gas and supports fermentative growth of both Bacteroidetes and Firmicutes. Bacteroides particularly dominate H2 production. Biochemical and spectroscopic characterisation shows purified group B [FeFe]-hydrogenases are catalytically active and bind a di-iron active site. These hydrogenases are highly enriched in the guts of healthy individuals, but significantly depleted in favour of other fermentative hydrogenases in Crohns disease. Furthermore, we show that metabolically flexible respiratory bacteria are the most abundant H2 oxidizers in the gut, not sulfate reducers, methanogens, and acetogens as previously thought. This combination of enzymatic, cellular, and ecosystem-level analysis provides the first detailed understanding of H2 cycling in the human gut and reveals new links between microbiota function and gastrointestinal health.

microbiology↗

bioRxiv2023

Fecal microbial transfer and complex carbohydrates mediate protection against COPD

ObjectiveChronic obstructive pulmonary disease (COPD) is a major cause of global illness and death, most commonly caused by cigarette smoke. The mechanisms of pathogenesis remain poorly understood, limiting the development of effective therapies. The gastrointestinal microbiome has been implicated in chronic lung diseases via the gut-lung axis, but its role is unclear. DesignUsing an in vivo mouse model of cigarette smoke-induced COPD and fecal microbial transfer (FMT), we characterized the fecal microbiota using metagenomics, proteomics and metabolomics. Findings were correlated with airway and systemic inflammation, lung and gut histopathology, and lung function. Complex carbohydrates were assessed in mice using a high resistant starch diet, and in sixteen COPD patients using a randomized, double-blind, placebo-controlled pilot study of inulin supplementation. ResultsFMT alleviated hallmark features of COPD (inflammation, alveolar destruction, impaired lung function), gastrointestinal pathology and systemic immune changes. Protective effects were additive to smoking cessation. Disease features correlated with the relative abundance of Muribaculaceae, Desulfovibrionaceae and Lachnospiraceae family members. Proteomics and metabolomics identified downregulation of glucose and starch metabolism in cigarette smoke-associated microbiota, and supplementation of mice or human patients with complex carbohydrates improved disease outcomes. ConclusionThe gut microbiome contributes to COPD pathogenesis and can be targeted therapeutically. What is already known on this topicO_LIChanges in gut microbiota are associated with COPD but the underlying host and microbial mechanisms are unclear, limiting the therapeutic applications. C_LI What this study addsO_LIMicrobiome composition and metabolism is reproducibly correlated with lung and gastrointestinal pathology in experimental COPD. C_LIO_LIMicrobiome modifying interventions effectively alleviate disease, including protective effects supplementing smoking cessation. C_LIO_LINutritional interventions targeting the microbiome in COPD patients demonstrate efficacy in a small pilot study. C_LI How this study might affect research, practice or policyO_LIMicrobiome-targeting therapeutics and nutritional interventions may be developed for COPD, including as supplements to smoking cessation. C_LI

physiology↗

bioRxiv2023

Temperate gut phages are prevalent, diverse, and predominantly inactive

Large-scale metagenomic and data mining efforts have uncovered an expansive diversity of bacteriophages (phages) within the human gut1-3. These insights include broader phage populational dynamics such as temporal stability4, interindividual uniqueness5,6 and potential associations to specific disease states7,8. However, the functional understanding of phage-host interactions and their impacts within this complex ecosystem have been limited due to a lack of cultured isolates for experimental validation. Here we characterise 125 active prophages originating from 252 diverse human gut bacterial isolates using seven different induction conditions to substantially expand the experimentally validated temperate phage-host pairs originating from the human gut. Importantly, only 17% of computationally predicted prophages were induced with common induction agents and these exhibited distinct gene patterns compared to non-induced predictions. Active Bacteroidota prophages were among the most prevalent members of the gut virome, with extensive use of diversity generating retroelements and exhibiting broad host ranges. Moreover, active polylysogeny was present in 52% of studied gut lysogens and led to coordinated prophage induction across diverse conditions. This study represents a substantial expansion of experimentally validated gut prophages, providing key insights into their diversity and genetics, including a genetic pathway for prophage domestication and demonstration that differential induction was complex and influenced by divergent prophage integration sites. More broadly, it highlights the importance of experimental validation alongside genomic based computational prediction to enable further functional understanding of these commensal viruses within the human gut.

microbiology↗

bioRxiv2023

Disease-specific loss of microbial cross-feeding interactions in the human gut

Many gut microorganisms critical to human health rely on nutrients produced by each other for survival; however, these cross-feeding interactions are still challenging to quantify and remain poorly characterized. Here we introduce a Metabolite Exchange Score (MES) to quantify those interactions. Using metagenome-wide metabolic models from over 1600 individuals, the MES allowed us to identify and rank metabolic interactions that were significantly affected by a loss of cross-feeding partners in 10 out of 11 diseases. When applied to a Crohns disease case-control study, our approach identified a lack of species with the ability to consume hydrogen sulphide as the main distinguishing microbiome feature of disease. We propose that our conceptual framework will help prioritize in-depth analyses, experiments and clinical targets, and that targeting the restoration of microbial cross-feeding interactions is a promising mechanism-informed strategy to reconstruct a healthy gut ecosystem.

microbiology↗

bioRxiv2022

In vitro demonstration of broad host range mobile genetic elements transferring antibiotic resistance from the human microbiome

Mobile genetic elements (MGEs) carrying antibiotic resistance genes (ARGs) disseminate ARGs when they mobilise into new bacterial hosts. To investigate the scale of such horizontal gene transfer (HGT) events between human gut commensals and enteropathogens for the first time, we compared 1354 cultured commensal strains (540 species) to 45,403 enteropathogen strains (12 species) and found 64,188 MGE-mediated ARG transfer events between the two groups using established methods. Among the 5931 MGEs involved, we found 15 broad host range elements predicted to have crossed different bacterial phyla while also occurring in animal and environmental microbiomes. We experimentally demonstrated that predicted broad host range MGEs can mobilise from commensals Dorea longicatena and Hungatella hathewayi to enteropathogens Klebsiella oxytoca, crossing phyla simultaneously. Our work establishes the MGE-mediated ARG dissemination network between human gut commensals and enteropathogens and highlights novel broad host range MGEs as targets for future ARG dissemination management.

genomics↗

bioRxiv2021

Functional and taxonomic comparison of mouse and human gut microbiotas using extensive culturing and metagenomics

Mouse models are essential for biomedical science and drug discovery, yet it is not known how the bacteria in the mouse microbiota - important determinants of phenotypes of health and disease -affect their relevance to human disease. To interrogate the taxonomic and functional differences between the human and mouse gut microbiotas, we developed the Mouse Microbial Genome Collection (MMGC), a compilation of 276 genomes from cultured isolates and 45,218 metagenome-assembled genomes (MAGs) from 1,960 publicly available mouse metagenomes. The MMGC reveals that while only 2.65% of bacterial species are shared between mouse and human, over 80% of annotatable functions are present in both microbiomes. Using drug metabolism and butyrate synthesis as examples, we illustrate that although the species harbouring these key functions can differ between hosts, the MMGC enables identification of functionally equivalent taxa in the mouse and human microbiotas. The MMGC thereby facilitates the informed use of mice in biomedical research by providing access to the conservation and taxonomic locations of bacterial functions of interest.

microbiology↗

bioRxiv2021

Novel gut pathobionts confound results in a widely used mouse model of human inflammatory disease

The mammalian gut microbiota consists of hundreds of anaerobic bacterial species that shape intestinal homeostasis and influence host immune responses. Although the causal roles of specific human gut bacterial species in health and disease are emerging, the role of indigenous gut bacteria in driving immunophenotypic variability in mouse models of human disease remains poorly understood. We performed a large-scale experiment using 579 laboratory mice designed to identify and validate the causes of disease variability in the widely used dextran sulphate sodium (DSS) mouse model of inflammatory bowel disease. Using microbiome analysis, coupled with machine learning and targeted anaerobic culturing, we identified and isolated the novel gut pathobiont species Duncaniella muricolitica and Alistipes okayasuensis and fulfilled Kochs postulates in mice to show that each pathobiont exerts dominant effects in the DSS model leading to variable treatment responses. We show these pathobiont species are common, but not ubiquitous, in mouse facilities around the world, raising experimental design opportunities for improved mouse models of human intestinal diseases.

microbiology↗

bioRxiv2020

Host adaptation in gut Firmicutes is associated with sporulation loss and altered colonisation patterns

Human-to-human transmission of symbiotic, anaerobic bacteria is a fundamental evolutionary adaptation essential for membership of the human gut microbiota. However, despite its importance, the genomic and biological adaptations underpinning symbiont transmission remain poorly understood. Here, we show that sporulation ability, which promotes transmission of anaerobic bacteria, has been independently lost in many distinct evolutionary lineages of gut bacteria belonging to the Firmicutes phyla. Analysis of 1358 genome-sequenced Firmicutes reveals loss of sporulation is associated with features of host-adaptation such as genome reduction and specialized metabolic capabilities. Consistent with these data, analysis of 28,000 gut metagenomes from people around the world demonstrates that bacteria now incapable of sporulation are more abundant but less prevalent in the human population compared to spore-forming bacteria. Our results suggest host adaptation in gut Firmicutes is an evolutionary trade-off between transmission range and colonisation abundance, leading to distinct transmission cycles. We reveal host transmission as an underappreciated process that shapes the evolution, assembly and functions of gut Firmicutes.

microbiology↗

bioRxiv2019

Distinct microbial and immune niches of the human colon

Gastrointestinal microbiota and immune cells interact closely and display regional specificity, but little is known about how these communities differ with location. Here, we simultaneously assess microbiota and single immune cells across the healthy, adult human colon, with paired characterisation of immune cells in the mesenteric lymph nodes, to delineate colonic immune niches at steady-state. We describe distinct T helper cell activation and migration profiles along the colon and characterise the transcriptional adaptation trajectory of T regulatory cells between lymphoid tissue and colon. Finally, we show increasing B cell accumulation, clonal expansion and mutational frequency from caecum to sigmoid colon, and link this to the increasing number of reactive bacterial species.

immunology↗

bioRxiv2019

CiiiDER: a new tool for predicting and analysing transcription factor binding sites

The availability of large amounts of high-throughput genomic, transcriptomic and epigenomic data has provided opportunity to understand regulation of the cellular transcriptome with an unprecedented level of detail. As a result, research has advanced from identifying gene expression patterns associated with particular conditions to elucidating signalling pathways that regulate expression. There are over 1,000 transcription factors (TFs) in vertebrates that play a role in this regulation. Determining which of these are likely to be controlling a set of genes can be assisted by computational prediction, utilising experimentally verified binding site motifs.\n\nHere we present CiiiDER, an integrated computational toolkit for transcription factor binding analysis, written in the Java programming language, to make it independent of computer operating system. It is operated through an intuitive graphical user interface with interactive, high-quality visual outputs, making it accessible to all researchers. CiiiDER predicts transcription factor binding sites (TFBSs) across regulatory regions of interest, such as promoters and enhancers derived from any species. It can perform an enrichment analysis to identify TFs that are significantly over- or under-represented in comparison to a bespoke background set and thereby elucidate pathways regulating sets of genes of pathophysiological importance.\n\nCiiiDER is available from www.ciiider.org.

bioinformatics↗