Abstract

BackgroundDrug treatments and vaccine designs against the opportunistic human pathogen Pseudomonas aeruginosa have multiple issues, all associated with the diverse genetic traits present in this pathogen, ranging from multi-drug resistant genes to the molecular machinery for the biosynthesis of biofilms. Several candidate vaccines against P. aeruginosa have been developed, which target the outer membrane proteins; however, major issues arise when attempting to establish complete protection against this pathogen due to its presumably genotypic variation at the strain level. To shed light on this concern, we proposed this study to assess the P. aeruginosa pangenome and its molecular evolution across multiple strains.ResultsThe P. aeruginosa pangenome was estimated to contain more than 16,000 non-redundant genes, and approximately 15 % of these constituted the core genome. Functional analyses of the accessory genome indicated a wide presence of genetic elements directly associated with pathogenicity. An in-depth molecular evolution analysis revealed the full landscape of selection forces acting on the P. aeruginosa pangenome, in which purifying selection drives evolution in the genome of this human pathogen. We also detected distinctive positive selection in a wide variety of outer membrane proteins, with the data supporting the concept of substantial genetic variation in proteins probably recognized as antigens. Approaching the evolutionary information of genes under extremely positive selection, we designed a new Multi-Locus Sequencing Typing assay for an informative, rapid, and cost-effective genotyping of P. aeruginosa clinical isolates.ConclusionsWe report the unprecedented pangenome characterization of P. aeruginosa on a large scale, which included almost 200 bacterial genomes from one single species and a molecular evolutionary analysis at the pangenome scale. Evolutionary information presented here provides a clear explanation of the issues associated with the use of protein conjugates from pili, flagella, or secretion systems as antigens for vaccine design, which exhibit high genetic variation in terms of non-synonymous substitutions in P. aeruginosa strains.Electronic supplementary materialThe online version of this article (doi:10.1186/s12864-016-2364-4) contains supplementary material, which is available to authorized users.

Highlights

  • Drug treatments and vaccine designs against the opportunistic human pathogen Pseudomonas aeruginosa have multiple issues, all associated with the diverse genetic traits present in this pathogen, ranging from multi-drug resistant genes to the molecular machinery for the biosynthesis of biofilms

  • Genetic variability explored in multiple P. aeruginosa isolates from different regions of the world indicated that pcrV, a member of the type III secretion system, exhibits limited genetic variation in terms of non-synonymous substitutions [10]

  • Defining the Pseudomonas aeruginosa pangenome A total of 181 genomes of P. aeruginosa strains were obtained through the public PATRIC database

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Summary

Introduction

Drug treatments and vaccine designs against the opportunistic human pathogen Pseudomonas aeruginosa have multiple issues, all associated with the diverse genetic traits present in this pathogen, ranging from multi-drug resistant genes to the molecular machinery for the biosynthesis of biofilms. Enormous variation in the response against P. aeruginosa immunogenic proteins in patients with P. aeruginosa infections [12] could indicate that genetic factors from the pathogen and/or host could be responsible for the incomplete efficacy of candidate vaccines tested In this fashion, this study aimed to i) better understand the genome structure and genetic variation exhibited by Pseudomonas aeruginosa, ii) link the genome variation information with past and future P. aeruginosa vaccine designs, and iii) present and validate new molecular markers for Multi-Locus Sequence Typing (MLST) based on the study of genes exhibiting a higher ratio of non-synonymous over synonymous substitution rate. A combined pangenome-wide and molecular evolution analysis was performed using up-to-date and genome-scale genetic information publicly available in the Pathosystems Resource Integration Center (PATRIC) database [13]

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