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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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Autores principales: Murray, Aimee K., Zhang, Lihong, Yin, Xiaole, Zhang, Tong, Buckling, Angus, Snape, Jason, Gaze, William H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Microbiology 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6058293/
https://www.ncbi.nlm.nih.gov/pubmed/30042197
http://dx.doi.org/10.1128/mBio.00969-18
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author Murray, Aimee K.
Zhang, Lihong
Yin, Xiaole
Zhang, Tong
Buckling, Angus
Snape, Jason
Gaze, William H.
author_facet Murray, Aimee K.
Zhang, Lihong
Yin, Xiaole
Zhang, Tong
Buckling, Angus
Snape, Jason
Gaze, William H.
author_sort Murray, Aimee K.
collection PubMed
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 bla(CTX-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.
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spelling pubmed-60582932018-07-27 Novel Insights into Selection for Antibiotic Resistance in Complex Microbial Communities Murray, Aimee K. Zhang, Lihong Yin, Xiaole Zhang, Tong Buckling, Angus Snape, Jason Gaze, William H. mBio Research Article 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 bla(CTX-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. American Society for Microbiology 2018-07-24 /pmc/articles/PMC6058293/ /pubmed/30042197 http://dx.doi.org/10.1128/mBio.00969-18 Text en Copyright © 2018 Murray et al. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research Article
Murray, Aimee K.
Zhang, Lihong
Yin, Xiaole
Zhang, Tong
Buckling, Angus
Snape, Jason
Gaze, William H.
Novel Insights into Selection for Antibiotic Resistance in Complex Microbial Communities
title 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_short Novel Insights into Selection for Antibiotic Resistance in Complex Microbial Communities
title_sort novel insights into selection for antibiotic resistance in complex microbial communities
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6058293/
https://www.ncbi.nlm.nih.gov/pubmed/30042197
http://dx.doi.org/10.1128/mBio.00969-18
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