Intense genome sequencing of Pseudomonas aeruginosa isolates from cystic fibrosis (CF) airways has shown inefficient eradication of the infecting bacteria, as well as previously undocumented patient-to-patient transmission of adapted clones. However, genome sequencing has limited potential as a predictor of chronic infection and of the adaptive state during infection, and thus there is increasing interest in linking phenotypic traits to the genome sequences. Phenotypic information ranges from genome-wide transcriptomic analysis of patient samples to determination of more specific traits associated with metabolic changes, stress responses, antibiotic resistance and tolerance, biofilm formation and slow growth. Environmental conditions in the CF lung shape both genetic and phenotypic changes of P. aeruginosa during infection. In this Review, we discuss the adaptive and evolutionary trajectories that lead to early diversification and late convergence, which enable P. aeruginosa to succeed in this niche, and we point out how knowledge of these biological features may be used to guide diagnosis and therapy. Pseudomonas aeruginosa shows high diversity and plasticity, which enables it to succeed in the challenging environment of cystic fibrosis airways. In this Review, Johansen and colleagues highlight genomic and phenotypic adaptation of P. aeruginosa and the implications for infection management.

Pseudomonas aeruginosa adaptation and evolution in patients with cystic fibrosis / E. Rossi, R. La Rosa, J.A. Bartell, R.L. Marvig, J.A.J. Haagensen, L.M. Sommer, S. Molin, H.K. Johansen. - In: NATURE REVIEWS MICROBIOLOGY. - ISSN 1740-1526. - (2020). [Epub ahead of print] [10.1038/s41579-020-00477-5]

Pseudomonas aeruginosa adaptation and evolution in patients with cystic fibrosis

E. Rossi
Primo
;
2020

Abstract

Intense genome sequencing of Pseudomonas aeruginosa isolates from cystic fibrosis (CF) airways has shown inefficient eradication of the infecting bacteria, as well as previously undocumented patient-to-patient transmission of adapted clones. However, genome sequencing has limited potential as a predictor of chronic infection and of the adaptive state during infection, and thus there is increasing interest in linking phenotypic traits to the genome sequences. Phenotypic information ranges from genome-wide transcriptomic analysis of patient samples to determination of more specific traits associated with metabolic changes, stress responses, antibiotic resistance and tolerance, biofilm formation and slow growth. Environmental conditions in the CF lung shape both genetic and phenotypic changes of P. aeruginosa during infection. In this Review, we discuss the adaptive and evolutionary trajectories that lead to early diversification and late convergence, which enable P. aeruginosa to succeed in this niche, and we point out how knowledge of these biological features may be used to guide diagnosis and therapy. Pseudomonas aeruginosa shows high diversity and plasticity, which enables it to succeed in the challenging environment of cystic fibrosis airways. In this Review, Johansen and colleagues highlight genomic and phenotypic adaptation of P. aeruginosa and the implications for infection management.
Settore BIO/19 - Microbiologia Generale
Settore MED/07 - Microbiologia e Microbiologia Clinica
Settore BIO/11 - Biologia Molecolare
Settore BIO/18 - Genetica
2020
19-nov-2020
Article (author)
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/790417
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