The population genetics of collateral resistance and sensitivity

Resistance mutations against one drug can elicit collateral sensitivity against other drugs. Multi-drug treatments exploiting such trade-offs can help slow down the evolution of resistance. However, if mutations with diverse collateral effects are available, a treated population may evolve either co...

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Main Authors: Sarah M Ardell, Sergey Kryazhimskiy
Format: Article
Language:English
Published: eLife Sciences Publications Ltd 2021-12-01
Series:eLife
Subjects:
Online Access:https://elifesciences.org/articles/73250
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author Sarah M Ardell
Sergey Kryazhimskiy
author_facet Sarah M Ardell
Sergey Kryazhimskiy
author_sort Sarah M Ardell
collection DOAJ
description Resistance mutations against one drug can elicit collateral sensitivity against other drugs. Multi-drug treatments exploiting such trade-offs can help slow down the evolution of resistance. However, if mutations with diverse collateral effects are available, a treated population may evolve either collateral sensitivity or collateral resistance. How to design treatments robust to such uncertainty is unclear. We show that many resistance mutations in Escherichia coli against various antibiotics indeed have diverse collateral effects. We propose to characterize such diversity with a joint distribution of fitness effects (JDFE) and develop a theory for describing and predicting collateral evolution based on simple statistics of the JDFE. We show how to robustly rank drug pairs to minimize the risk of collateral resistance and how to estimate JDFEs. In addition to practical applications, these results have implications for our understanding of evolution in variable environments.
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spelling doaj.art-7309f0ad89504e10b1d990083a00280f2022-12-22T03:52:49ZengeLife Sciences Publications LtdeLife2050-084X2021-12-011010.7554/eLife.73250The population genetics of collateral resistance and sensitivitySarah M Ardell0https://orcid.org/0000-0001-6665-2739Sergey Kryazhimskiy1https://orcid.org/0000-0001-9128-8705Division of Biological Sciences, University of California, San Diego, La Jolla, United StatesDivision of Biological Sciences, University of California, San Diego, La Jolla, United StatesResistance mutations against one drug can elicit collateral sensitivity against other drugs. Multi-drug treatments exploiting such trade-offs can help slow down the evolution of resistance. However, if mutations with diverse collateral effects are available, a treated population may evolve either collateral sensitivity or collateral resistance. How to design treatments robust to such uncertainty is unclear. We show that many resistance mutations in Escherichia coli against various antibiotics indeed have diverse collateral effects. We propose to characterize such diversity with a joint distribution of fitness effects (JDFE) and develop a theory for describing and predicting collateral evolution based on simple statistics of the JDFE. We show how to robustly rank drug pairs to minimize the risk of collateral resistance and how to estimate JDFEs. In addition to practical applications, these results have implications for our understanding of evolution in variable environments.https://elifesciences.org/articles/73250pleiotropytrade-offsjoint distribution of fitness effects
spellingShingle Sarah M Ardell
Sergey Kryazhimskiy
The population genetics of collateral resistance and sensitivity
eLife
pleiotropy
trade-offs
joint distribution of fitness effects
title The population genetics of collateral resistance and sensitivity
title_full The population genetics of collateral resistance and sensitivity
title_fullStr The population genetics of collateral resistance and sensitivity
title_full_unstemmed The population genetics of collateral resistance and sensitivity
title_short The population genetics of collateral resistance and sensitivity
title_sort population genetics of collateral resistance and sensitivity
topic pleiotropy
trade-offs
joint distribution of fitness effects
url https://elifesciences.org/articles/73250
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