Biology subjects

Denise, R.

Publications and source records attributed to Denise, R..

9 recordsLinked to original sources

bioRxiv2026

A polarity-controlled Tad nanomachine enables prey invasion in a bacterial predator

Type IV pili are dynamic surface appendages assembled by envelope-spanning nanomachines that mediate diverse bacterial interactions, yet how these systems are adapted to predatory lifestyles remains poorly understood. Here we investigate the tight adherence (Tad) machinery of the obligate predator Bdellovibrio bacteriovorus. Using inducible CRISPR interference combined with live-cell and microfluidics imaging, we show that the Tad system is essential for prolonged prey attachment and subsequent prey remodeling and invasion. The machinery assembles specifically at the invasive cell pole before prey encounter and is temporally coordinated with the predatory cell cycle. We further demonstrate that polar localization of the Tad machinery depends on the polarity hub RomR. In addition, the atypical TadZA fusion ATPase interacts with RomR, identifying a potential molecular link between polarity control and Tad assembly. Together, our findings reveal how spatiotemporal control of a conserved filament system supports bacterial predation.

microbiology↗

bioRxiv2025

Stable coexistence of Citrobacter rodentium with a lytic bacteriophage during in vivo murine infection

Bacteriophages are ubiquitously present in bacterial communities, yet phage-bacteria interactions in complex environments like the gut remain poorly understood. While antibiotic resistance is driving a renewed interest in phage therapy, most studies have been conducted in in vitro systems, offering limited insight into the complexity of such dynamics in physiological contexts. Here, we use Citrobacter rodentium (CR), a natural mouse-restricted enteric pathogen and well-established model for human enteropathogenic and enterohaemorrhagic Escherichia coli (EPEC and EHEC) infections, to investigate phage-pathogen interactions in vivo. We isolate and characterise Eifel2, a novel lytic phage infecting CR, and generate anti-phage specific antibodies that enable the visualisation of phage infections in vitro. In a murine model of CR infection, oral administration of Eifel2 led to robust phage replication in the gut without reducing the bacterial burden or infection-associated inflammation, confirming the establishment of a stable coexistence in the gut. Despite the emergence of a sub-population of phage-resistant CR mutants in vivo, they did not undergo clonal expansion, indicating that additional selective pressures impaired their widespread dissemination in the gut. Together, our findings demonstrate that imaging approaches can capture key infection stages in vitro, while in vivo models are essential for capturing the complexity of phage-bacteria interactions. This work highlights the importance of studying phage therapy in host-pathogen contexts that include a normal microbiota and a suitable host environment, where dynamic co-existence rather than eradication may define therapeutic outcomes. ImportanceBacteriophages, or phages, are viruses which can either kill or persist inside bacteria. Current interests in phage biology are in part ignited by the fact that they could be used to treat infections caused by antibiotic-resistant bacteria. However, most of our understanding of phage-bacterial interactions comes from in vitro models and/or in vivo gut models relying on altering the endogenous microbiota. Here we report the finding of a novel phage, Eifel2, which specifically targets Citrobacter rodentium (CR), the mouse equivalent of human diarrhoeagenic E. coli pathogens. Despite effectively killing CR in vitro, CR and Eifel2 develop a coexistence relationship in mice with an intact microbiota. While CR phage-resistant mutants emerge, host and microbial factors constrain their expansion. This work highlights the importance of studying phage therapy in host-pathogen contexts that include the complete microbiota, where therapeutic outcomes may rely on dynamic co-existence and containment rather than eradication.

microbiology↗

bioRxiv2025

Third-generation cephalosporin antibiotics induce phage bursts in the human gut microbiome.

The use of antibiotics disrupts the gut microbiota, potentially leading to long-term health issues and the spread of resistance. To investigate the impact of antibiotics on phage populations, we followed 22 healthy individuals two weeks before and up to six months after a three-day course of 3rd-generation cephalosporins. The populations of phages very rarely encoded antibiotic resistance genes and were mostly temperate including many phage-plasmids. Gut phages remained individual-specific even after microbiome perturbation by antibiotics. Yet, we found a 20% decline in phage diversity the day after treatment, alongside blooms of a few (mostly virulent) phages. We suggest that these temporary dominant phages contribute to the recovery of gut bacterial diversity through kill-the-winner dynamics. This is supported by the finding that several phages targeted Parabacteroides distasonis, a bacterium thriving after cephalosporin treatment, and which only proliferated when these phages were absent.Our findings suggest that phages play a crucial role in the gut microbiotas response to antibiotics by contributing to the restoration of microbial balance and diversity. HighlightsO_LIIn healthy individuals, cephalosporin antibiotics cause an approx. 20% decline in gut phage richness that is restored after 30 days C_LIO_LIHuman gut phage communities are specific of each individual, which is retained post-antibiotic treatment C_LIO_LIAntibiotic perturbation causes an increase in the number of dominant virulent phages supporting kill-the-winner dynamics as mechanisms for shaping bacterial diversity C_LIO_LIDominance of Parabacteroides distasonis (after cephalosporin treatment) is likely disrupted through its specific phages C_LI eTOCAntibiotic-induced disruption of the gut microbiome leads to a transient loss of microbiome diversity (bacterial and viral) and causes blooms of bacteria and their viruses. Our analysis suggests that these viruses prey on dominant bacteria, prevent their dominance, and contribute to the recovery of microbiome balance. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=96 SRC="FIGDIR/small/636470v2_ufig1.gif" ALT="Figure 1"> View larger version (34K): org.highwire.dtl.DTLVardef@98c366org.highwire.dtl.DTLVardef@1446921org.highwire.dtl.DTLVardef@51f941org.highwire.dtl.DTLVardef@1c328ed_HPS_FORMAT_FIGEXP M_FIG C_FIG

microbiology↗

bioRxiv2024

taxmyPHAGE: Automated taxonomy of dsDNA phage genomes at the genus and species

BackgroundBacteriophages are now classified into genera and species based on genomic similarity. To identify new species and genera requires comparison against all phage genomes currently defined by the International Committee on the Taxonomy of Viruses. With increasing amounts of phage genomic data there is a clear need to fully automate the classification of phages into existing and new genera and species. Materials and MethodsWe created a MASH database for rapid searching of closely related phages, to then be compared with BLASTn to compute intergenomic similarity between bacteriophages (https://github.com/amillard/tax_myPHAGE/tree/main). ResultsTaxmyphage is provided as a conda repository and via a user-friendly website, that allows rapid classification of phages into existing taxa at the genus and species level. ConclusionsTaxmyphage allows the rapid and accurate classification of phage genomes into existing genera and species, at a scale that is compatible with existing sequencing output.

microbiology↗

bioRxiv2023

Beyond Blast: Enabling Microbiologists to Better Extract Literature, Taxonomic Distributions and Gene Neighborhood Information for Protein Families

Capturing the published corpus of information on all members of a given protein family should be an essential step in any study focusing on specific members of that said family. Using a previously gathered dataset of more than 280 references mentioning a member of the DUF34 (NIF3/Ngg1-interacting Factor 3), we evaluated the efficiency of different databases and search tools, and devised a workflow that experimentalists can use to capture the most published information on members of a protein family in the least amount of time. To complement this workflow, web-based platforms allowing for the exploration of protein family members across sequenced genomes or for the analysis of gene neighborhood information were reviewed for their versatility and ease of use. Recommendations that can be used for experimentalist users, as well as educators, are provided and integrated within a customized, publicly accessible Wiki. Data summaryThe authors confirm all supporting data, code, and protocols have been provided within the article or through supplementary data files. Complete set of supplementary data sheets may be accessed via FigShare.

microbiology↗

bioRxiv2023

Identification of protein secretion systems in bacterial genomes using MacSyFinder version 2.

Protein secretion systems are complex molecular machineries that translocate proteins through the outer membrane and sometimes through multiple other barriers. They have evolved by co-option of components from other envelope-associated cellular machineries, making them sometimes difficult to identify and discriminate. Here, we describe how to identify protein secretion systems in bacterial genomes using the MacSyFinder program. This flexible computational tool uses the knowledge gathered from experimental studies to identify homologous systems in genome data. It can be used with a set of pre-defined MacSyFinder models--"TXSScan", to identify all major secretion systems of diderm bacteria (i.e., with inner and LPS-containing outer membranes) as well as evolutionarily related cell appendages (pili and flagella). For this, it identifies and clusters co-localized genes encoding proteins of secretion systems using sequence similarity search with Hidden Markov Model (HMM) protein profiles. Finally, it checks if the clusters genetic content and genomic organization satisfy the constraints of the model. TXSScan models can be altered in the command line or customized to search for variants of known secretion systems. Models can also be built from scratch to identify novel systems. In this chapter, we describe a complete pipeline of analysis, starting from i) the integration of information from a reference set of experimentally studied systems, ii) the identification of conserved proteins and the construction of their HMM protein profiles, iii) the definition and optimization of "macsy-models", and iv) their use and online distribution as tools to search genomic data for secretion systems of interest. MacSyFinder is available here: https://github.com/gem-pasteur/macsyfinder, and MacSyFinder models here: https://github.com/macsy-models.

microbiology↗

bioRxiv2022

MacSyFinder v2: Improved modelling and search engine to identify molecular systems in genomes

Complex cellular functions are usually encoded by a set of genes in one or a few organized genetic loci in microbial genomes. Macromolecular System Finder (MacSyFinder) is a program that uses these properties to model and then annotate cellular functions in microbial genomes. This is done by integrating the identification of each individual gene at the level of the molecular system. We hereby present a major release of MacSyFinder (version 2) coded in Python 3. The code was improved and rationalized to facilitate future maintainability. Several new features were added to allow more flexible modelling of the systems. We introduce a more intuitive and comprehensive search engine to identify all the best candidate systems and sub-optimal ones that respect the models constraints. We also introduce the novel macsydata companion tool that enables the easy installation and broad distribution of the models developed for MacSyFinder (macsy-models) from GitHub repositories. Finally, we have updated and improved MacSyFinder popular models: TXSScan to identify protein secretion systems, TFFscan to identify type IV filaments, CONJscan to identify conjugative systems, and CasFinder to identify CRISPR associated proteins. MacSyFinder and the updated models are available at: https://github.com/gem-pasteur/macsyfinder and https://github.com/macsy-models.

bioinformatics↗

bioRxiv2020

The major subunit of widespread competence (pseudo)pili exhibits a novel and conserved type IV pilin fold

Type IV filaments (T4F), which are helical assemblies of type IV pilins, constitute a superfamily of filamentous nanomachines virtually ubiquitous in prokaryotes that mediate a wide variety of functions. The competence (Com) pilus is a widespread T4F, mediating DNA uptake (the first step in natural transformation) in bacteria with one membrane (monoderms), an important mechanism of horizontal gene transfer. Here, we report the results of genomic, phylogenetic, and structural analyses of ComGC, the major pilin subunit of Com pili. By performing a global comparative analysis, we show that Com pili genes are virtually ubiquitous in Bacilli, a major monoderm class of Firmicutes. This also revealed that ComGC displays extensive sequence conservation, defining a monophyletic group among type IV pilins. We further report ComGC solution structures from two naturally competent human pathogens, Streptococcus sanguinis (ComGCSS) and Streptococcus pneumoniae (ComGCSP), revealing that this pilin displays extensive structural conservation. Strikingly, ComGCSS and ComGCSP exhibit a novel type IV pilin fold that is purely helical. Results from homology modelling analyses suggest that ComGC unusual structure is compatible with helical filament assembly. Because ComGC displays such a widespread distribution, these results have implications for hundreds of monoderm species.

microbiology↗

bioRxiv2019

Diversification of the type IV filament super-family into machines for adhesion, secretion, DNA transformation and motility

Processes of molecular innovation require tinkering and co-option of existing genes. How this occurs in terms of molecular evolution at long evolutionary scales remains poorly understood. Here, we analyse the natural history of a vast group of membrane-associated molecular systems in Bacteria and Archaea - type IV filament super-family (TFF-SF) - that diversified in systems involved in flagellar or twitching motility, adhesion, protein secretion, and DNA natural transformation. We identified such systems in all phyla of the two domains of life, and their phylogeny suggests that they may have been present in the last universal common ancestor. From there, two lineages, a Bacterial and an Archaeal, diversified by multiple gene duplications of the ATPases, gene fission of the integral membrane platform, and accretion of novel components. Surprisingly, we find that the Tad systems originated from the inter-kingdom transfer from Archaea to Bacteria of a system resembling the Epd pilus. The phylogeny and content of ancestral systems suggest that initial bacterial pili were engaged in cell motility and/or DNA transformation. In contrast, specialized protein secretion systems arose much later, and several independent times, in natural history. All these processes of functional diversification were accompanied by genetic rearrangements with implications for genetic regulation and horizontal gene transfer: systems encoded in fewer loci were more frequently exchanged between taxa. Overall, the evolutionary history of the TFF-SF by itself provides an impressive catalogue of the variety of molecular mechanisms involved in the origins of novel functions by tinkering and co-option of cellular machineries.

evolutionary biology↗