Model-driven characterization of functional diversity of <i>Pseudomonas aeruginosa</i> clinical isolates with broadly representative phenotypes.

ABSTRACT: Pseudomonas aeruginosa is a leading cause of infections in immunocompromised individuals and in healthcare settings. This study aims to understand the relationships between phenotypic diversity and the functional metabolic landscape of P. aeruginosa clinical isolates. To better understand the metabolic repertoire of P. aeruginosa in infection, we deeply profiled a representative set from a library of 971 clinical P. aeruginosa isolates with corresponding patient metadata and bacterial phenotypes. The genotypic clustering based on whole-genome sequencing of the isolates, multilocus sequence types, and the phenotypic clustering generated from a multi-parametric analysis were compared to each other to assess the genotype-phenotype correlation. Genome-scale metaboli

SUBMITTER: Islam MM 

PROVIDER: S-EPMC11261902 | biostudies-literature | 2024 Jun

REPOSITORIES: biostudies-literature