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Peyretaillade, E.

Publications and source records attributed to Peyretaillade, E..

2 recordsLinked to original sources

Type 6 secretion systems of adherent-invasive Escherichia coli isolated from Crohn's disease patients shape intestinal microbiota.

Adherent Invasive Escherichia coli (AIEC) colonize the ileal mucosa of Crohn's disease patients. Among bacterial virulence factors potentially implicated, type 6 secretion systems (T6SS) are molecular machineries sending effectors in prokaryotic or eukaryotic target cells. Two T6SS have been reported in AIEC LF82 reference strain. Here, we show that T6SS genes are more prevalent in Crohn's disease patients' microbiota compared to healthy controls, and that T6SS are more frequent in AIEC pathovar compared to E. coli in general and associated with FimH pathoadaptive polymorphism. The use of an in vitro gastrointestinal system coupled with T6SS promoter reporter assay highlighted expression of LF82 T6SS under gastrointestinal conditions, with a major role for bile salts. In mice infected with AIEC LF82 versus T6SS-deleted mutants, T6SS showed a functional impact in modulating the composition of mucosa-associated gut microbiota. Thus, AIEC may use their T6SS to compete with endogenous microbiota to colonize host mucosa.

microbiology↗

ASaiM: a Galaxy-based framework to analyze raw shotgun data from microbiota

BackgroundNew generation of sequencing platforms coupled to numerous bioinformatics tools has led to rapid technological progress in metagenomics and metatranscriptomics to investigate complex microorganism communities. Nevertheless, a combination of different bioinformatic tools remains necessary to draw conclusions out of microbiota studies. Modular and user-friendly tools would greatly improve such studies.\n\nFindingsWe therefore developed ASaiM, an Open-Source Galaxy-based framework dedicated to microbiota data analyses. ASaiM provides a curated collection of tools to explore and visualize taxonomic and functional information from raw amplicon, metagenomic or metatranscriptomic sequences. To guide different analyses, several customizable workflows are included. All workflows are supported by tutorials and Galaxy interactive tours to guide the users through the analyses step by step. ASaiM is implemented as Galaxy Docker flavour. It is scalable to many thousand datasets, but also can be used a normal PC. The associated source code is available under Apache 2 license at https://github.com/ASaiM/framework and documentation can be found online (http://asaim.readthedocs.io/)\n\nConclusionsBased on the Galaxy framework, ASaiM offers sophisticated analyses to scientists without command-line knowledge. ASaiM provides a powerful framework to easily and quickly explore microbiota data in a reproducible and transparent environment.

bioinformatics↗