Biology subjects

Trouillon, J.

Publications and source records attributed to Trouillon, J..

7 recordsLinked to original sources

bioRxiv2025

Predicting input signals of transcription factors in Escherichia coli through metabolomics and transcriptomics

The activity of bacterial transcription factors (TFs) is typically modulated through direct interactions with small molecules. However, these input signals remain unknown for most TFs, even in well-studied model bacteria. Identifying these signals typically requires tedious experiments for each TF. Here, we develop a systematic workflow for the identification of TF input signals in bacteria based on metabolomics and transcriptomics data. We inferred the activity of 173 TFs from published transcriptomics data and determined the abundance of 279 metabolites across 40 matched experimental conditions in Escherichia coli. By correlating TF activities with metabolites abundances, we successfully identified previously known TF-metabolite interactions and predicted novel TF effector metabolites for 41 TFs. To validate our predictions, we conducted in vitro assays and confirmed a predicted effector metabolite for LeuO. As a result, we established a network of 80 regulatory interactions between 71 metabolites and 41 E. coli TFs. This network includes 76 novel interactions that encompass a diverse range of chemical classes and regulatory patterns, bringing us closer to a comprehensive TF regulatory network in E. coli.

microbiology↗

bioRxiv2025

Extracellular polymeric substance degradation shapes microbial community diversity

Competition for and exchange of nutrients play crucial roles in shaping microbial community function and dynamics. Although cross-feeding of small metabolites is known to drive carbon exchange among species, the importance of self-produced extracellular polymeric substances (EPS)-- which include proteins, polysaccharides, DNA, and humic-like substances-- remains less understood. Utilizing chitin-degrading microbial isolates and natural seawater communities, we found that 4-7% of the carbon from chitin degradation is converted into EPS, accounting for nearly a quarter of the exuded carbon. Different sources of EPS were found to select for distinct microbial communities. Through enzyme assays and untargeted metabolomics, we demonstrated that secreted enzymes degrade EPS in multiple steps that influence community diversity: larger oligomers are initially utilized by specialized degraders, while the subsequent breakdown into smaller oligomers, monosaccharides, and amino acids supports non-specialized consumers. These findings highlight the role of EPS as a significant carbon source exchanged between microbes, fueling metabolically diverse populations and enriching our understanding of carbon-mediated microbial interactions.

microbiology↗

bioRxiv2024

Competition strategies driving resource partitioning in chitin degrading communities

Resource competition strongly shapes microbial community dynamics and function. In polysaccharide-degrading communities, primary degraders secrete monomer-releasing enzymes and exploiters consume released products without investing in enzymes. By investigating competitive strategies between chitin degraders and N-acetylglucosamine (GlcNAc) exploiters, we uncover several interacting factors, including GlcNAc liberation rates, diffusive loss, and resource partitioning between competitors, which determine community viability and growth dynamics at early stages of degradation. Aside from cases involving antibiotic secretion or aggregation on particles to privatize degrading enzymes, exploiters also inhibit degraders by siphoning away limiting GlcNAc flux during early stages of particle degradation, when degraders must overcome diffusive GlcNAc loss to sustain chitinase production. Analogous to the Allee effect in population biology, these effects lead to sensitive dependences on initial species densities for a community to thrive. This study elucidates how metabolic competition at early stages of particle degradation shapes species interactions, resource partitioning, and ultimately community viability.

microbiology↗

bioRxiv2024

Functional and pangenomic exploration of Roc two-component regulatory systems identifies novel players across Pseudomonas species

The opportunistic pathogen Pseudomonas aeruginosa counts on a large collection of two-component regulatory systems (TCSs) to sense and adapt to changing environments. Among them, the Roc (Regulation of cup) system is a one-of-a-kind network of branched TCSs, composed of two histidine kinases (HKs) (RocS1 and RocS2) interacting with three response regulators (RRs) (RocA1, RocR and RocA2), which regulate virulence, antibiotic resistance and biofilm formation. Based on extensive work on the Roc system, previous data suggested the existence of other key regulators yet to be discovered. In this work, we identified PA4080, renamed RocA3, as a fourth RR that is activated by RocS1 and RocS2 and that positively controls the expression of the cupB operon. Comparative genomic analysis of the locus identified a gene - rocR3 - adjacent to rocA3 in a subpopulation of strains which encodes a protein with structural and functional similarity to the c-di-GMP phosphodiesterase RocR. Furthermore, we identified a fourth branch of the Roc system consisting of the PA2583 HK, renamed RocS4, and of the Hpt protein HptA. Using a bacterial two-hybrid system, we showed that RocS4 interacts with HptA, which in turn interacts with RocA1, RocA2 and RocR3. Finally, we mapped the pangenomic RRs repertoire establishing a comprehensive view of the plasticity of such regulators among clades of the species. Overall, our work provides a comprehensive inter-species definition of the Roc system, nearly doubling the number of proteins known to be involved in this interconnected network of TCSs controlling pathogenicity in Pseudomonas species. GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=141 SRC="FIGDIR/small/618891v1_ufig1.gif" ALT="Figure 1"> View larger version (42K): org.highwire.dtl.DTLVardef@1059b56org.highwire.dtl.DTLVardef@1195eeaorg.highwire.dtl.DTLVardef@a67f45org.highwire.dtl.DTLVardef@ed9ed5_HPS_FORMAT_FIGEXP M_FIG C_FIG ABBREVIATED SUMMARYRoc system account for a particularly interconnected yet incomplete network of two-component regulatory system involved in the virulence of Pseudomonas aeruginosa. Our work identified the missing RocA3 regulator and propose new players of the system delineating their conservation between the clade of the species.

microbiology↗

bioRxiv2021

Molecular features underlying Pseudomonas aeruginosa persistence in human plasma

Pseudomonas aeruginosa, an opportunistic Gram-negative pathogen, is a leading cause of bacteremia with a high mortality rate. We recently reported that P. aeruginosa forms a persister-like sub-population of evaders in human plasma and blood. However, the molecular mechanisms underlying the formation of evaders remained unknown. Here, using a gain-of-function genetic screen, we examined the molecular determinants of P. aeruginosa persistence in plasma. We found that, among other factors, ATP and biotin availability greatly influence bacterial survival in plasma; mutants in pur and bio genes display higher tolerance and persistence, respectively. Electron microscopy combined with energy-dispersive X-ray spectroscopy (EDX) revealed the formation of polyphosphate granules upon incubation in plasma in several clinical strains, implying the bacterial response to a low-energy stress signal. Indeed, mutants with transposon insertions in ppk genes were eliminated in the plasma. Analysis of several steps of the complement cascade and exposure to an outer-membrane-impermeable drug, nisin, suggested that the mutants impede membrane attack complex (MAC) activity per se. Through this study, we shed light on P. aeruginosa response to the plasma conditions and discovered the multifactorial origin of bacterial resilience to MAC that provides a comprehensive picture of the complex interplay between P. aeruginosa and the human complement system. Author summaryPersistence of bacterial pathogens is a main cause of treatment failure and establishment of chronic bacterial infection. Despite innate immune responses, some bacteria may persist in human blood and plasma. Here we used a genome-wide screen to investigate the molecular determinants influencing Pseudomonas aeruginosa persistence in human plasma facing the complement system. Alongside a multifactorial strategy, we found intracellular levels of ATP and biotin to significantly influence bacterial capacity to deal with membrane attack complex (MAC)-dependent killing. These results underline the need to understand the complex interplay between bacterial pathogens and the human immune system when seeking to develop efficient antibacterial strategies.

microbiology↗

bioRxiv2021

Determination of the Two-Component Systems regulatory network reveals core and accessory regulations across Pseudomonas aeruginosa lineages

Pseudomonas aeruginosa possesses one of the most complex bacterial regulatory networks, which largely contributes to its success as a human opportunistic pathogen. However, most of its transcription factors (TFs) are still uncharacterized and the potential intra-species variability in regulatory networks has been mostly ignored so far. Here, to provide a first global view of the two-component systems (TCSs) regulatory network in P. aeruginosa, we produced and purified all DNA-binding TCS response regulators (RRs) and used DAP-seq to map the genome-wide binding sites of these 55 TFs across the three major P. aeruginosa lineages. The resulting networks encompass about 40% of all genes in each strain and contain numerous new important regulatory interactions across most major physiological processes, including virulence and antibiotic resistance. Strikingly, the comparison between the three representative strains shows that about half of the detected targets are specific to only one or two of the tested strains, revealing a previously unknown large functional diversity of TFs within a single species. Three main mechanisms were found to drive this diversity, including differences in accessory genome content, as exemplified by the strain-specific plasmid in the IHMA87 outlier strain which harbors numerous binding sites of chromosomally-encoded RRs. Additionally, most RRs display potential auto-regulation or RR-RR cross-regulation, bringing to light the vast complexity of this network. Overall, we provide the first complete delineation of the TCS regulatory network in P. aeruginosa that will represent an important resource for future studies on this pathogen.

microbiology↗

bioRxiv2020

Transcription inhibitors with XRE DNA-binding and cupin signal-sensing domains drive metabolic diversification in Pseudomonas

Transcription factors (TFs) are instrumental in the bacterial response to new environmental conditions. They can act as direct signal sensors and subsequently induce changes in gene expression leading to physiological adaptation. Here, by combining RNA-seq and DAP-seq, we studied a family of eight TFs in Pseudomonas aeruginosa. This family, encompassing TFs with XRE-like DNA-binding and cupin signal-sensing domains, includes the metabolic regulators ErfA, PsdR and PauR and five so far unstudied TFs. The genome-wide delineation of their regulons identified 39 regulatory interactions with genes mostly involved in metabolism. We found that the XRE-cupin TFs are inhibitors of their neighboring genes, forming local, functional units encoding proteins with functions in condition-specific metabolic pathways. The phylogenetic analysis of this family of regulators across the Pseudomonas genus revealed a wide diversity of such metabolic regulatory modules and identified species with potentially higher metabolic versatility. Numerous uncharacterized XRE-cupin TFs were found near metabolism-related genes, illustrating the need of further systematic characterization of transcriptional regulatory networks in order to better understand the mechanisms of bacterial adaptation to new environments. IMPORTANCEBacteria of the Pseudomonas genus, including the major human pathogen P. aeruginosa, are known for their complex regulatory networks and high number of transcription factors, which contribute to their impressive adaptive ability. However, even in the most studied species, most of the regulators are still uncharacterized. With the recent advances in high-throughput sequencing methods, it is now possible to fill this knowledge gap and help understanding how bacteria adapt and thrive in new environments. By leveraging these methods, we provide an example of a comprehensive analysis of an entire family of transcription factors and bring new insights into metabolic and regulatory adaptation in the Pseudomonas genus.

microbiology↗