Genomic and phenotypic characterization of Pseudomonas aeruginosa isolates from two Mexican cystic fibrosis attention centers

Abstract

ABSTRACT Thirty-nine clinical isolates of Pseudomonas aeruginosa collected from 11 cystic fibrosis (CF) patients at two CF attention centers over 10 years were subjected to whole genome sequencing (WGS). Phenotypic tests (i.e., elastase, motility, biofilm, growth rate, and antibiotic susceptibility) were performed to correlate results. A single strain of P. aeruginosa was found to persist over time in longitudinal isolates. No transmission between patients or centers was observed. A tendency to lack genes related to pyoverdine, flagellum, pili, and O-antigen was observed, whereas those related to biofilm, phenazine, and pyochelin were conserved among isolates. In a patient with a 10-year follow-up, a single strain of P. aeruginosa persisted and showed a gradual decrease in elastase activity and growth rate, demonstrating an adaptive phenotype.IMPORTANCEThis study investigates the genomic and phenotypic characteristics of Pseudomonas aeruginosa isolates from Mexican cystic fibrosis (CF) patients, an underrepresented group in CF research. To our knowledge, it is the first to use whole genome sequencing (WGS) to study longitudinally collected P. aeruginosa isolates from this population, evaluating both genomic features and clonal relationships. Remarkably, the study includes samples from one patient over 10 years, offering an extended observation time compared to existing literature. Unlike similar studies, which often lack phenotypic testing, this research incorporates various virulence-related phenotypic assays, enhancing our understanding of gene-to-phenotype correlations. Two potential mechanisms for the loss of elastolytic activity were identified. Furthermore, we conduct an in-depth mobilome analysis, an area that remains largely unexplored in CF contexts. Whole genome sequencing data are publicly available through the NCBI SRA database, facilitating further re-analysis for studies on P. aeruginosa in CF, as well as epidemiological and population structure research.

Keywords

• Cystic fibrosis
• Pseudomonas aeruginosa
• Bioinformatics
• Genomic
• Phenotypic testing
• Adaptation