1. Evolutionary Biology
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Multi-step vs. single-step resistance evolution under different drugs, pharmacokinetics and treatment regimens

  1. Claudia Igler  Is a corresponding author
  2. Jens Rolff
  3. Roland Regoes  Is a corresponding author
  1. ETH Zurich, Switzerland
  2. Freie Universität Berlin, Germany
Research Article
  • Cited 2
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Cite this article as: eLife 2021;10:e64116 doi: 10.7554/eLife.64116

Abstract

The success of antimicrobial treatment is threatened by the evolution of drug resistance. Population genetic models are an important tool in mitigating that threat. However, most such models consider resistance emergence via a single mutational step. Here, we assembled experimental evidence that drug resistance evolution follows two patterns: i) a single mutation, which provides a large resistance benefit, or ii) multiple mutations, each conferring a small benefit, which combine to yield high-level resistance. Using stochastic modeling we then investigated the consequences of these two patterns for treatment failure and population diversity under various treatments. We find that resistance evolution is substantially limited if more than two mutations are required and that the extent of this limitation depends on the combination of drug type and pharmacokinetic profile. Further, if multiple mutations are necessary, adaptive treatment, which only suppresses the bacterial population, delays treatment failure due to resistance for a longer time than aggressive treatment, which aims at eradication.

Data availability

All data and code generated or analysed during this study are included in the manuscript and supporting files. Source code has been provided for Figures 2-4, as well as S2-S17 in the form of an R package. Source data has been provided for Table 1, Figure 1B and S1.

The following previously published data sets were used
    1. Melnyk A
    2. Wong A
    3. Kassen R
    (2015) The fitness costs of antibiotic resistance mutations
    Dryad Digital Repository: http://doi.org/10.5061/dryad.5rc47.

Article and author information

Author details

  1. Claudia Igler

    Theoretical Biology, ETH Zurich, Zurich, Switzerland
    For correspondence
    claudia.igler@env.ethz.ch
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-7777-546X
  2. Jens Rolff

    Institute for Biology, Freie Universität Berlin, Berlin, Germany
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-1529-5409
  3. Roland Regoes

    Institute of Integrative Biology, ETH Zurich, Zurich, Switzerland
    For correspondence
    roland.regoes@env.ethz.ch
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-8319-5293

Funding

Volkswagen Foundation (96517)

  • Claudia Igler
  • Jens Rolff
  • Roland Regoes

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Reviewing Editor

  1. Ben S Cooper, Mahidol University, Thailand

Publication history

  1. Received: October 18, 2020
  2. Accepted: May 4, 2021
  3. Accepted Manuscript published: May 18, 2021 (version 1)
  4. Version of Record published: June 7, 2021 (version 2)

Copyright

© 2021, Igler et al.

This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.

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