Novel Insights into Selection for Antibiotic Resistance in Complex Microbial Communities

Recent research has demonstrated that selection for antibiotic resistance occurs at very low antibiotic concentrations in single-species experiments, but the relevance of these findings when species are embedded in complex microbial communities is unclear. We show that the strength of selection for...

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Main Authors: Aimee K. Murray, Lihong Zhang, Xiaole Yin, Tong Zhang, Angus Buckling, Jason Snape, William H. Gaze
Format: Article
Language:English
Published: American Society for Microbiology 2018-07-01
Series:mBio
Subjects:
Online Access:https://doi.org/10.1128/mBio.00969-18
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spelling doaj-432b538f549b4dff834fc4a7f2d7ecb52021-07-02T14:05:54ZengAmerican Society for MicrobiologymBio2150-75112018-07-0194e00969-1810.1128/mBio.00969-18Novel Insights into Selection for Antibiotic Resistance in Complex Microbial CommunitiesAimee K. MurrayLihong ZhangXiaole YinTong ZhangAngus BucklingJason SnapeWilliam H. GazeRecent research has demonstrated that selection for antibiotic resistance occurs at very low antibiotic concentrations in single-species experiments, but the relevance of these findings when species are embedded in complex microbial communities is unclear. We show that the strength of selection for naturally occurring resistance alleles in a complex community remains constant from low subinhibitory to above clinically relevant concentrations. Selection increases with antibiotic concentration before reaching a plateau where selection remains constant over a 2-order-magnitude concentration range. This is likely to be due to cross protection of the susceptible bacteria in the community following rapid extracellular antibiotic degradation by the resistant population, shown experimentally through a combination of chemical quantification and bacterial growth experiments. Metagenome and 16S rRNA analyses of sewage-derived bacterial communities evolved under cefotaxime exposure show preferential enrichment for blaCTX-M genes over all other beta-lactamase genes, as well as positive selection and co-selection for antibiotic resistant, opportunistic pathogens. These findings have far-reaching implications for our understanding of the evolution of antibiotic resistance, by challenging the long-standing assumption that selection occurs in a dose-dependent manner.Antibiotic resistance is one of the greatest global issues facing society. Still, comparatively little is known about selection for resistance at very low antibiotic concentrations. We show that the strength of selection for clinically important resistance genes within a complex bacterial community can remain constant across a large antibiotic concentration range (wide selective space). Therefore, largely understudied ecological compartments could be just as important as clinical environments for selection of antibiotic resistance.https://doi.org/10.1128/mBio.00969-18antibiotic resistanceevolutionmetagenomicsmicrobial ecology
collection DOAJ
language English
format Article
sources DOAJ
author Aimee K. Murray
Lihong Zhang
Xiaole Yin
Tong Zhang
Angus Buckling
Jason Snape
William H. Gaze
spellingShingle Aimee K. Murray
Lihong Zhang
Xiaole Yin
Tong Zhang
Angus Buckling
Jason Snape
William H. Gaze
Novel Insights into Selection for Antibiotic Resistance in Complex Microbial Communities
mBio
antibiotic resistance
evolution
metagenomics
microbial ecology
author_facet Aimee K. Murray
Lihong Zhang
Xiaole Yin
Tong Zhang
Angus Buckling
Jason Snape
William H. Gaze
author_sort Aimee K. Murray
title Novel Insights into Selection for Antibiotic Resistance in Complex Microbial Communities
title_short Novel Insights into Selection for Antibiotic Resistance in Complex Microbial Communities
title_full Novel Insights into Selection for Antibiotic Resistance in Complex Microbial Communities
title_fullStr Novel Insights into Selection for Antibiotic Resistance in Complex Microbial Communities
title_full_unstemmed Novel Insights into Selection for Antibiotic Resistance in Complex Microbial Communities
title_sort novel insights into selection for antibiotic resistance in complex microbial communities
publisher American Society for Microbiology
series mBio
issn 2150-7511
publishDate 2018-07-01
description Recent research has demonstrated that selection for antibiotic resistance occurs at very low antibiotic concentrations in single-species experiments, but the relevance of these findings when species are embedded in complex microbial communities is unclear. We show that the strength of selection for naturally occurring resistance alleles in a complex community remains constant from low subinhibitory to above clinically relevant concentrations. Selection increases with antibiotic concentration before reaching a plateau where selection remains constant over a 2-order-magnitude concentration range. This is likely to be due to cross protection of the susceptible bacteria in the community following rapid extracellular antibiotic degradation by the resistant population, shown experimentally through a combination of chemical quantification and bacterial growth experiments. Metagenome and 16S rRNA analyses of sewage-derived bacterial communities evolved under cefotaxime exposure show preferential enrichment for blaCTX-M genes over all other beta-lactamase genes, as well as positive selection and co-selection for antibiotic resistant, opportunistic pathogens. These findings have far-reaching implications for our understanding of the evolution of antibiotic resistance, by challenging the long-standing assumption that selection occurs in a dose-dependent manner.Antibiotic resistance is one of the greatest global issues facing society. Still, comparatively little is known about selection for resistance at very low antibiotic concentrations. We show that the strength of selection for clinically important resistance genes within a complex bacterial community can remain constant across a large antibiotic concentration range (wide selective space). Therefore, largely understudied ecological compartments could be just as important as clinical environments for selection of antibiotic resistance.
topic antibiotic resistance
evolution
metagenomics
microbial ecology
url https://doi.org/10.1128/mBio.00969-18
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