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Compensatory evolution of Pseudomonas aeruginosa’s slow growth phenotype suggests mechanisms of adaptation in cystic fibrosis

Author

Listed:
  • Ruggero La Rosa

    (Technical University of Denmark)

  • Elio Rossi

    (Rigshospitalet
    Università degli Studi di Milano)

  • Adam M. Feist

    (Technical University of Denmark
    University of California)

  • Helle Krogh Johansen

    (Technical University of Denmark
    Rigshospitalet
    University of Copenhagen)

  • Søren Molin

    (Technical University of Denmark)

Abstract

Long-term infection of the airways of cystic fibrosis patients with Pseudomonas aeruginosa is often accompanied by a reduction in bacterial growth rate. This reduction has been hypothesised to increase within-patient fitness and overall persistence of the pathogen. Here, we apply adaptive laboratory evolution to revert the slow growth phenotype of P. aeruginosa clinical strains back to a high growth rate. We identify several evolutionary trajectories and mechanisms leading to fast growth caused by transcriptional and mutational changes, which depend on the stage of adaptation of the strain. Return to high growth rate increases antibiotic susceptibility, which is only partially dependent on reversion of mutations or changes in the transcriptional profile of genes known to be linked to antibiotic resistance. We propose that similar mechanisms and evolutionary trajectories, in reverse direction, may be involved in pathogen adaptation and the establishment of chronic infections in the antibiotic-treated airways of cystic fibrosis patients.

Suggested Citation

  • Ruggero La Rosa & Elio Rossi & Adam M. Feist & Helle Krogh Johansen & Søren Molin, 2021. "Compensatory evolution of Pseudomonas aeruginosa’s slow growth phenotype suggests mechanisms of adaptation in cystic fibrosis," Nature Communications, Nature, vol. 12(1), pages 1-15, December.
  • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-23451-y
    DOI: 10.1038/s41467-021-23451-y
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    Cited by:

    1. Manlu Zhu & Xiongfeng Dai, 2024. "Shaping of microbial phenotypes by trade-offs," Nature Communications, Nature, vol. 15(1), pages 1-13, December.

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