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Fitness Tradeoffs of Antibiotic Resistance in Extraintestinal Pathogenic Escherichia coli

Evolutionary trade-offs occur when selection on one trait has detrimental effects on other traits. In pathogenic microbes, it has been hypothesized that antibiotic resistance trades off with fitness in the absence of antibiotic. Although studies of single resistance mutations support this hypothesis...

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Autores principales: Basra, Prabh, Alsaadi, Ahlam, Bernal-Astrain, Gabriela, O’Sullivan, Michael Liam, Hazlett, Bryn, Clarke, Leah Marie, Schoenrock, Andrew, Pitre, Sylvain, Wong, Alex
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5817949/
https://www.ncbi.nlm.nih.gov/pubmed/29432584
http://dx.doi.org/10.1093/gbe/evy030
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author Basra, Prabh
Alsaadi, Ahlam
Bernal-Astrain, Gabriela
O’Sullivan, Michael Liam
Hazlett, Bryn
Clarke, Leah Marie
Schoenrock, Andrew
Pitre, Sylvain
Wong, Alex
author_facet Basra, Prabh
Alsaadi, Ahlam
Bernal-Astrain, Gabriela
O’Sullivan, Michael Liam
Hazlett, Bryn
Clarke, Leah Marie
Schoenrock, Andrew
Pitre, Sylvain
Wong, Alex
author_sort Basra, Prabh
collection PubMed
description Evolutionary trade-offs occur when selection on one trait has detrimental effects on other traits. In pathogenic microbes, it has been hypothesized that antibiotic resistance trades off with fitness in the absence of antibiotic. Although studies of single resistance mutations support this hypothesis, it is unclear whether trade-offs are maintained over time, due to compensatory evolution and broader effects of genetic background. Here, we leverage natural variation in 39 extraintestinal clinical isolates of Escherichia coli to assess trade-offs between growth rates and resistance to fluoroquinolone and cephalosporin antibiotics. Whole-genome sequencing identifies a broad range of clinically relevant resistance determinants in these strains. We find evidence for a negative correlation between growth rate and antibiotic resistance, consistent with a persistent trade-off between resistance and growth. However, this relationship is sometimes weak and depends on the environment in which growth rates are measured. Using in vitro selection experiments, we find that compensatory evolution in one environment does not guarantee compensation in other environments. Thus, even in the face of compensatory evolution and other genetic background effects, resistance may be broadly costly, supporting the use of drug restriction protocols to limit the spread of resistance. Furthermore, our study demonstrates the power of using natural variation to study evolutionary trade-offs in microbes.
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spelling pubmed-58179492018-02-23 Fitness Tradeoffs of Antibiotic Resistance in Extraintestinal Pathogenic Escherichia coli Basra, Prabh Alsaadi, Ahlam Bernal-Astrain, Gabriela O’Sullivan, Michael Liam Hazlett, Bryn Clarke, Leah Marie Schoenrock, Andrew Pitre, Sylvain Wong, Alex Genome Biol Evol Research Article Evolutionary trade-offs occur when selection on one trait has detrimental effects on other traits. In pathogenic microbes, it has been hypothesized that antibiotic resistance trades off with fitness in the absence of antibiotic. Although studies of single resistance mutations support this hypothesis, it is unclear whether trade-offs are maintained over time, due to compensatory evolution and broader effects of genetic background. Here, we leverage natural variation in 39 extraintestinal clinical isolates of Escherichia coli to assess trade-offs between growth rates and resistance to fluoroquinolone and cephalosporin antibiotics. Whole-genome sequencing identifies a broad range of clinically relevant resistance determinants in these strains. We find evidence for a negative correlation between growth rate and antibiotic resistance, consistent with a persistent trade-off between resistance and growth. However, this relationship is sometimes weak and depends on the environment in which growth rates are measured. Using in vitro selection experiments, we find that compensatory evolution in one environment does not guarantee compensation in other environments. Thus, even in the face of compensatory evolution and other genetic background effects, resistance may be broadly costly, supporting the use of drug restriction protocols to limit the spread of resistance. Furthermore, our study demonstrates the power of using natural variation to study evolutionary trade-offs in microbes. Oxford University Press 2018-02-07 /pmc/articles/PMC5817949/ /pubmed/29432584 http://dx.doi.org/10.1093/gbe/evy030 Text en © The Author(s) 2018. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Research Article
Basra, Prabh
Alsaadi, Ahlam
Bernal-Astrain, Gabriela
O’Sullivan, Michael Liam
Hazlett, Bryn
Clarke, Leah Marie
Schoenrock, Andrew
Pitre, Sylvain
Wong, Alex
Fitness Tradeoffs of Antibiotic Resistance in Extraintestinal Pathogenic Escherichia coli
title Fitness Tradeoffs of Antibiotic Resistance in Extraintestinal Pathogenic Escherichia coli
title_full Fitness Tradeoffs of Antibiotic Resistance in Extraintestinal Pathogenic Escherichia coli
title_fullStr Fitness Tradeoffs of Antibiotic Resistance in Extraintestinal Pathogenic Escherichia coli
title_full_unstemmed Fitness Tradeoffs of Antibiotic Resistance in Extraintestinal Pathogenic Escherichia coli
title_short Fitness Tradeoffs of Antibiotic Resistance in Extraintestinal Pathogenic Escherichia coli
title_sort fitness tradeoffs of antibiotic resistance in extraintestinal pathogenic escherichia coli
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5817949/
https://www.ncbi.nlm.nih.gov/pubmed/29432584
http://dx.doi.org/10.1093/gbe/evy030
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