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  Evolutionary stability of collateral sensitivity to antibiotics in the model pathogen̑extit Pseudomonas aeruginosa

Barbosa, C., Römhild, R., Rosenstiel, P., & Schulenburg, H. (2019). Evolutionary stability of collateral sensitivity to antibiotics in the model pathogen̑extit Pseudomonas aeruginosa. eLife, 8: e51481. doi:10.7554/eLife.51481.

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elife-51481-v1.pdf (Publisher version), 20MB
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 Creators:
Barbosa, Camilo, Author
Römhild, Roderich, Author
Rosenstiel, Philip, Author
Schulenburg, Hinrich1, Author           
Affiliations:
1Max Planck Fellow Group Antibiotic Resistance Evolution, Max Planck Institute for Evolutionary Biology, Max Planck Society, ou_2600692              

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 Abstract: Evolution is at the core of the impending antibiotic crisis. Sustainable therapy must thus account for the adaptive potential of pathogens. One option is to exploit evolutionary trade-offs, like collateral sensitivity, where evolved resistance to one antibiotic causes hypersensitivity to another one. To date, the evolutionary stability and thus clinical utility of this trade-off is unclear. We performed a critical experimental test on this key requirement, using evolution experiments with ̑extitPseudomonas aeruginosa, and identified three main outcomes: (i) bacteria commonly failed to counter hypersensitivity and went extinct; (ii) hypersensitivity sometimes converted into multidrug resistance; and (iii) resistance gains frequently caused re-sensitization to the previous drug, thereby maintaining the trade-off. Drug order affected the evolutionary outcome, most likely due to variation in the effect size of collateral sensitivity, epistasis among adaptive mutations, and fitness costs. Our finding of robust genetic trade-offs and drug-order effects can guide design of evolution-informed antibiotic therapy.

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Language(s): eng - English
 Dates: 2019-10-292019-10
 Publication Status: Published in print
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 Identifiers: DOI: 10.7554/eLife.51481
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Title: eLife
Source Genre: Journal
 Creator(s):
Pal, Csaba, Editor
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Publ. Info: Cambridge : eLife Sciences Publications
Pages: - Volume / Issue: 8 Sequence Number: e51481 Start / End Page: - Identifier: ISSN: 2050-084X
CoNE: https://pure.mpg.de/cone/journals/resource/2050-084X