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High Frequency of Hypermutable Pseudomonas aeruginosa in Cystic Fibrosis Lung Infection

Oliver, Antonio, Cantón, Rafael, Campo, Pilar, Baquero, Fernando, Blázquez, Jesús·2000·Science

Abstract

The lungs of cystic fibrosis (CF) patients are chronically infected for years by one or a few lineages of Pseudomonas aeruginosa. These bacterial populations adapt to the highly compartmentalized and anatomically deteriorating lung environment of CF patients, as well as to the challenges of the immune defenses and antibiotic therapy. These selective conditions are precisely those that recent theoretical studies predict for the evolution of mechanisms that augment the rate of variation. Determination of spontaneous mutation rates in 128 P. aeruginosa isolates from 30 CF patients revealed that 36% of the patients were colonized by a hypermutable (mutator) strain that persisted for years in most patients. Mutator strains were not found in 75 non-CF patients acutely infected with P. aeruginosa . This investigation also reveals a link between high mutation rates in vivo and the evolution of antibiotic resistance.

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Metadata

Authors
Oliver, A., Cantón, R., Campo, P., Baquero, F., & Blázquez, J.
Venue
Science
Published
2000-05-19
Volume
288
Issue
5469
Pages
1251-1253
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W1985687704
Cited by
1,465
References
0
FWCI
47.50
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: High Frequency of Hypermutable Pseudomonas aeruginosa in Cystic Fibrosis Lung Infection. https://app.cochat.ai/papers/10.1126/science.288.5469.1251
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Oliver, A., Cantón, R., Campo, P., Baquero, F., & Blázquez, J. (2000). High Frequency of Hypermutable Pseudomonas aeruginosa in Cystic Fibrosis Lung Infection. Science. https://doi.org/10.1126/science.288.5469.1251

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.