Recombination is a key driver of genomic and phenotypic diversity in a Pseudomonas aeruginosa population during cystic fibrosis infection

Whole-genome sequencing targets drug-resistant bacterial infections

During the past two decades, the technological progress of whole-genome sequencing (WGS) had changed the fields of Environmental Microbiology and Biotechnology, and, currently, is changing the underlying principles, approaches, and fundamentals of Public Health, Epidemiology, Health Economics, and national productivity. Today’s WGS technologies are able to compete with conventional techniques in cost, speed, accuracy, and resolution for day-to-day control of infectious diseases and outbreaks in clinical laboratories and in long-term epidemiological investigations. WGS gives rise to an exciting future direction for personalized Genomic Epidemiology. One of the most vital and growing public health problems is the emerging and re-emerging of multidrug-resistant (MDR) bacterial infections in the communities and healthcare settings, reinforced by a decline in antimicrobial drug discovery. In recent years, retrospective analysis provided by WGS has had a great impact on the identification and tracking of MDR microorganisms in hospitals and communities. The obtained genomic data are also important for developing novel easy-to-use diagnostic assays for clinics, as well as for antibiotic and therapeutic development at both the personal and population levels. At present, this technology has been successfully applied as an addendum to the real-time diagnostic methods currently used in clinical laboratories. However, the significance of WGS for public health may increase if: (a) unified and user-friendly bioinformatics toolsets for easy data interpretation and management are established, and (b) standards for data validation and verification are developed. Herein, we review the current and future impact of this technology on diagnosis, prevention, treatment, and control of MDR infectious bacteria in clinics and on the global scale.

Phenotypic diversity within a Pseudomonas aeruginosa population infecting an adult with cystic fibrosis

Chronic airway infections caused by Pseudomonas aeruginosa contribute to the progression of pulmonary disease in individuals with cystic fibrosis (CF). In the setting of CF, within-patient adaptation of a P. aeruginosa strain generates phenotypic diversity that can complicate microbiological analysis of patient samples. We investigated within- and between- sample diversity of 34 phenotypes among 235 P. aeruginosa isolates cultured from sputum samples collected from a single CF patient over the span of one year, and assessed colony morphology as a screening tool for predicting phenotypes, including antimicrobial susceptibilities. We identified 15 distinct colony morphotypes that varied significantly in abundance both within and between sputum samples. Substantial within sample phenotypic heterogeneity was also noted in other phenotypes, with morphotypes being unreliable predictors of antimicrobial susceptibility and other phenotypes. Emergence of isolates with reduced susceptibility to β-lactams was observed during periods of clinical therapy with aztreonam. Our findings confirm that the P. aeruginosa population in chronic CF lung infections is highly dynamic, and that intra-sample phenotypic diversity is underestimated if only one or few colonies are analyzed per sample.

Diversity of metabolic profiles of cystic fibrosis Pseudomonas aeruginosa during the early stages of lung infection

Pseudomonas aeruginosa is the dominant pathogen infecting the airways of cystic fibrosis (CF) patients. During the intermittent colonization phase, P. aeruginosa resembles environmental strains but later evolves to the chronic adapted phenotype characterized by resistance to antibiotics and mutations in the global regulator genes mucA, lasR and rpoN. Our aim was to understand the metabolic changes occurring over time and between niches of the CF airways. By applying Phenotype MicroArrays, we investigated changes in the carbon and nitrogen catabolism of subsequently clonally related mucoid and non-mucoid (NM) lung and sinus P. aeruginosa isolates from 10 CF patients (five intermittently colonized/five chronically infected). We found the most pronounced catabolic changes for the early/late NM isolate comparisons, with respiratory reduction seen for all chronically infecting isolates and two intermittently colonizing isolates. Fewer differences were observed between sinus and lung isolates, showing a higher degree of isolate similarity between these two niches. Modest respiratory changes were seen for the early isolate/PAO1 comparisons, indicating colonization with environmental isolates. Assignment of metabolic pathways via the KEGG database showed a prevalence of substrates involved in the metabolism of Ala, Asp and Glu, d-Ala, and Arg and Pro. In conclusion, extensive heterogeneity in the metabolic profiles of the P. aeruginosa isolates was observed from the initial stages of the infection, showing a rapid diversification of the bacteria in the heterogeneous environment of the lung. Metabolic reduction seems to be a common trait and therefore an adaptive phenotype, though it can be reached via multiple metabolic pathways.