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Pseudomonas aeruginosa adaptation and evolution in patients with cystic fibrosis
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 pred...
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Published in: | Nature reviews. Microbiology 2021-05, Vol.19 (5), p.331-342 |
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Main Authors: | , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | 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. |
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ISSN: | 1740-1526 1740-1534 |
DOI: | 10.1038/s41579-020-00477-5 |