open access publication

Article, Early Access, 2023

Long-term evolution of antibiotic tolerance in Pseudomonas aeruginosa lung infections

EVOLUTION LETTERS, 10.1093/evlett/qrad034

Contributors

Ghoul, Melanie [1] Andersen, Sandra B. 0000-0002-7030-040X [2] Marvig, R. L. 0000-0002-5267-3173 [2] [3] Johansen, Helle K. 0000-0003-0268-3717 [2] [3] Jelsbak, L. 0000-0002-5759-9769 [4] Molin, S. [2] Perron, Gabriel [5] [6] Griffin, Ashleigh S. (Corresponding author) [1]

Affiliations

  1. [1] Univ Oxford, Dept Biol, Mansfield Rd, Oxford OX1 3SZ, England
  2. [NORA names: United Kingdom; Europe, Non-EU; OECD];
  3. [2] Rigshosp, Ctr Genom Med, Copenhagen, Denmark
  4. [NORA names: KU University of Copenhagen; University; Denmark; Europe, EU; Nordic; OECD];
  5. [3] Rigshosp, Ctr Genom Med, Copenhagen, Denmark
  6. [NORA names: Capital Region of Denmark; Hospital; Denmark; Europe, EU; Nordic; OECD];
  7. [4] Tech Univ Denmark, Dept Biotechnol & BioMed, Lyngby, Denmark
  8. [NORA names: DTU Technical University of Denmark; University; Denmark; Europe, EU; Nordic; OECD];
  9. [5] Bard Coll, Ctr Environm Sci & Humanities, Annandale On Hudson, NY USA
  10. [NORA names: United States; America, North; OECD];

Abstract

Antibiotic resistance in bacteria is a major challenge to our ability to treat infections. Understanding how bacteria become resistant is important, but experiments in the lab are not always representative of what actually happens within patients. Studying isolates collected over time from patients may allow us to infer retrospectively how pathogens evolve. We investigated characteristics of bacteria that make them difficult to treat in a unique collection of bacterial isolates spanning 40 years, from Danish individuals with the genetic disease cystic fibrosis. Cystic fibrosis causes the build-up of mucus in the lungs that make bacterial infections difficult to eradicate, despite intensive treatment with antibiotics. We show that the bacteria can evolve "tolerance" to antibiotics even when they are still genetically susceptible by switching their behavior temporarily to a dormant state. Our results suggest that this can allow the bacteria to subsequently evolve genetic resistance, where they are capable of actively growing despite the presence of drugs. In summary, the picture from "real life infections" is more complex than a straightforward expectation of antibiotic treatment leads to selection for resistance, leads to the persistence of infection. Once again, nature proves to be more complex and unpredictable than controlled lab experiments would lead us to expect. But despite the challenges, more studies like this are needed to understand the strategies bacterial cells adopt, and why some infections are hard to treat.

Keywords

adaptation, evolutionary medicine, microbial evolutionary genomics

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