bioRxiv Science⌕ Search

Biology subjects

Jaillard, M.

Publications and source records attributed to Jaillard, M..

3 recordsLinked to original sources

Biofilm Associated Genotypes of Multidrug-Resistant Pseudomonas aeruginosa

Pseudomonas aeruginosa is a ubiquitous environmental microorganism that is also a common cause of nosocomial infections that vary in severity from chronic wound infections to pneumonia, bloodstream infections and sepsis. Its ability to survive in many different environments and persistently colonize human tissue is linked to its presence within biofilms that form on indwelling device surfaces such as plastics and stainless steel. Biofilm promotes bacterial adhesion and survival on surfaces, reduces susceptibility to desiccation, and the actions of antibiotics and disinfectants. Recent genome sequencing studies demonstrate that P. aeruginosa is a highly diverse species with a very large pan-genome consistent with its adaptability to differing environments. However, most MDR infections are caused by a small number of \"high-risk\" clones or lineages that recently emerged and spread globally.\n\nIn our 2017 study of the resistome of P. aeruginosa we confirmed the power of genome-wide association (GWAS) techniques to explore the genetic basis of several antibiotic resistance phenotypes and discovered 46 novel putative resistance polymorphisms. In this study we sought to examine genetic associations within a subset of these isolates with simple biofilm phenotypes. We examined the genetic basis for biofilm production on polystyrene at room temperature (22{degrees}C) and body temperature (37{degrees}C) within a total of 280 isolates. 69% of isolates (n=193) produced more biofilm mass at 22{degrees}C, whilst those producing more biofilm at 37{degrees}C had reduced optical density 540 variation. We found statistically significant associations with IpxO and other genes associated with arsenic resistance to be significantly associated with this trait. IpxO which encodes a lipid A hydroxylase and arsenic reduction genes have previously been found to be associated with biofilm production in this species. We analyzed 260 ST111 and ST235 genomes and found considerable genetic variation between isolates in their content of genes previously found associated with biofilm production. This is indicative of a highly variable and flexible population within these clades with frequent emergence of successful sub-lineages. Analysis of 48 of these isolates ability to form biofilm on stainless steel surfaces showed that a good biofilm-forming phenotype had significant intra-clone variation, independent of core genome phylogeny with pan-genome analysis, suggesting a possible association and involvement of components of the type IV secretion system. However, GWAS and pan-GWAS analyses yielded weaker statistical significance. This study confirms GWAS and pan-GWAS trait associations can be performed for biofilm phenotype and produce data in agreement with each other. This panel of 280 study isolates, matched to genomic data has potential for the investigation of other phenotypes in P. aeruginosa perhaps as part of a growing database / collection. A representative, curated, genome sequenced collection should increase in usefulness as it grows offering increasing statistical power.\n\nImportanceP. aeruginosa is a major cause of multiply antibiotic infections worldwide but it is also found in many hospital and natural environments, especially aquatic ones. In this study we examined genetic polymorphism associated with biofilm production at room temperature and at body temperature, the biofilm associated gene repertoire of two major MDR clones and also genetic polymorphisms associated with biofilm production on stainless steel. Using these genome-wide and pan-genome wide association methods we identified / confirmed potential key genes involved in biofilm production and survival of P. aeruginosa. The study demonstrates the potential usefulness of large, genome sequenced isolate collections such as ours, to better understand the genetics underlying phenotypic diversity in this species.

genomics↗

A fast and agnostic method for bacterial genome-wide association studies: bridging the gap between kmers and genetic events

MotivationGenome-wide association study (GWAS) methods applied to bacterial genomes have shown promising results for genetic marker discovery or fine-assessment of marker effect. Recently, alignment-free methods based on kmer composition have proven their ability to explore the accessory genome. However, they lead to redundant descriptions and results which are hard to interpret.\n\nMethodsHere, we introduce DBGWAS, an extended kmer-based GWAS method producing interpretable genetic variants associated with pheno-types. Relying on compacted De Bruijn graphs (cDBG), our method gathers cDBG nodes identified by the association model into subgraphs defined from their neighbourhood in the initial cDBG. DBGWAS is fast, alignment-free and only requires a set of contigs and phenotypes. It produces annotated subgraphs representing local polymorphisms as well as mobile genetic elements (MGE) and offers a graphical framework to interpret GWAS results.\n\nResultsWe validated our method using antibiotic resistance phenotypes for three bacterial species. DBGWAS recovered known resistance determinants such as mutations in core genes in Mycobacterium tuberculosis and genes acquired by horizontal transfer in Staphylococcus aureus and Pseudomonas aeruginosa - along with their MGE context. It also enabled us to formulate new hypotheses involving genetic variants not yet described in the antibiotic resistance literature.\n\nConclusionOur novel method proved its efficiency to retrieve any type of phenotype-associated genetic variant without prior knowledge. All experiments were computed in less than two hours and produced a compact set of meaningful subgraphs, thereby outperforming other GWAS approaches and facilitating the interpretation of the results.\n\nAvailabilityOpen-source tool available at https://gitlab.com/leoisl/dbgwas

bioinformatics↗

Representing Genetic Determinants in BacterialGWAS with Compacted De Bruijn Graphs

MotivationAntimicrobial resistance has become a major worldwide public health concern, calling for a better characterization of existing and novel resistance mechanisms. GWAS methods applied to bacterial genomes have shown encouraging results for new genetic marker discovery. Most existing approaches either look at SNPs obtained by sequence alignment or consider sets of kmers, whose presence in the genome is associated with the phenotype of interest. While the former approach can only be performed when genomes are similar enough for an alignment to make sense, the latter can lead to redundant descriptions and to results which are hard to interpret.\n\nResultsWe propose an alignment-free GWAS method detecting haplotypes of variable length associated to resistance, using compacted De Bruijn graphs. Our representation is flexible enough to deal with very plastic genomes subject to gene transfers while drastically reducing the number of features to explore compared to kmers, without loss of information. It accomodates polymorphisms in core genes, accessory genes and noncoding regions. Using our representation in a GWAS leads to the selection of a small number of entities which are easier to visualize and interpret than fixed-length kmers. We illustrate the benefit of our approach by describing known as well as potential novel determinants of antimicrobial resistance in P. aeruginosa, a pathogenic bacteria with a highly plastic genome.\n\nAvailability and implementationThe code and data used in the experiments will be made available upon acceptance of this manuscript.\n\nContactmagali.dancette@biomerieux.com

bioinformatics↗