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Antibiotic interactions shape short-term evolution of resistance in E. faecalis

Antibiotic combinations are increasingly used to combat bacterial infections. Multidrug therapies are a particularly important treatment option for E. faecalis, an opportunistic pathogen that contributes to high-inoculum infections such as infective endocarditis. While numerous synergistic drug comb...

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Autores principales: Dean, Ziah, Maltas, Jeff, Wood, Kevin B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7093004/
https://www.ncbi.nlm.nih.gov/pubmed/32119717
http://dx.doi.org/10.1371/journal.ppat.1008278
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author Dean, Ziah
Maltas, Jeff
Wood, Kevin B.
author_facet Dean, Ziah
Maltas, Jeff
Wood, Kevin B.
author_sort Dean, Ziah
collection PubMed
description Antibiotic combinations are increasingly used to combat bacterial infections. Multidrug therapies are a particularly important treatment option for E. faecalis, an opportunistic pathogen that contributes to high-inoculum infections such as infective endocarditis. While numerous synergistic drug combinations for E. faecalis have been identified, much less is known about how different combinations impact the rate of resistance evolution. In this work, we use high-throughput laboratory evolution experiments to quantify adaptation in growth rate and drug resistance of E. faecalis exposed to drug combinations exhibiting different classes of interactions, ranging from synergistic to suppressive. We identify a wide range of evolutionary behavior, including both increased and decreased rates of growth adaptation, depending on the specific interplay between drug interaction and drug resistance profiles. For example, selection in a dual β-lactam combination leads to accelerated growth adaptation compared to selection with the individual drugs, even though the resulting resistance profiles are nearly identical. On the other hand, populations evolved in an aminoglycoside and β-lactam combination exhibit decreased growth adaptation and resistant profiles that depend on the specific drug concentrations. We show that the main qualitative features of these evolutionary trajectories can be explained by simple rescaling arguments that correspond to geometric transformations of the two-drug growth response surfaces measured in ancestral cells. The analysis also reveals multiple examples where resistance profiles selected by drug combinations are nearly growth-optimized along a contour connecting profiles selected by the component drugs. Our results highlight trade-offs between drug interactions and resistance profiles during the evolution of multi-drug resistance and emphasize evolutionary benefits and disadvantages of particular drug pairs targeting enterococci.
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spelling pubmed-70930042020-04-01 Antibiotic interactions shape short-term evolution of resistance in E. faecalis Dean, Ziah Maltas, Jeff Wood, Kevin B. PLoS Pathog Research Article Antibiotic combinations are increasingly used to combat bacterial infections. Multidrug therapies are a particularly important treatment option for E. faecalis, an opportunistic pathogen that contributes to high-inoculum infections such as infective endocarditis. While numerous synergistic drug combinations for E. faecalis have been identified, much less is known about how different combinations impact the rate of resistance evolution. In this work, we use high-throughput laboratory evolution experiments to quantify adaptation in growth rate and drug resistance of E. faecalis exposed to drug combinations exhibiting different classes of interactions, ranging from synergistic to suppressive. We identify a wide range of evolutionary behavior, including both increased and decreased rates of growth adaptation, depending on the specific interplay between drug interaction and drug resistance profiles. For example, selection in a dual β-lactam combination leads to accelerated growth adaptation compared to selection with the individual drugs, even though the resulting resistance profiles are nearly identical. On the other hand, populations evolved in an aminoglycoside and β-lactam combination exhibit decreased growth adaptation and resistant profiles that depend on the specific drug concentrations. We show that the main qualitative features of these evolutionary trajectories can be explained by simple rescaling arguments that correspond to geometric transformations of the two-drug growth response surfaces measured in ancestral cells. The analysis also reveals multiple examples where resistance profiles selected by drug combinations are nearly growth-optimized along a contour connecting profiles selected by the component drugs. Our results highlight trade-offs between drug interactions and resistance profiles during the evolution of multi-drug resistance and emphasize evolutionary benefits and disadvantages of particular drug pairs targeting enterococci. Public Library of Science 2020-03-02 /pmc/articles/PMC7093004/ /pubmed/32119717 http://dx.doi.org/10.1371/journal.ppat.1008278 Text en © 2020 Dean et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Dean, Ziah
Maltas, Jeff
Wood, Kevin B.
Antibiotic interactions shape short-term evolution of resistance in E. faecalis
title Antibiotic interactions shape short-term evolution of resistance in E. faecalis
title_full Antibiotic interactions shape short-term evolution of resistance in E. faecalis
title_fullStr Antibiotic interactions shape short-term evolution of resistance in E. faecalis
title_full_unstemmed Antibiotic interactions shape short-term evolution of resistance in E. faecalis
title_short Antibiotic interactions shape short-term evolution of resistance in E. faecalis
title_sort antibiotic interactions shape short-term evolution of resistance in e. faecalis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7093004/
https://www.ncbi.nlm.nih.gov/pubmed/32119717
http://dx.doi.org/10.1371/journal.ppat.1008278
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