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dc.contributor.authorMurray, AK
dc.contributor.authorZhang, L
dc.contributor.authorYin, X
dc.contributor.authorZhang, T
dc.contributor.authorBuckling, A
dc.contributor.authorSnape, J
dc.contributor.authorGaze, W
dc.date.accessioned2018-07-26T14:35:40Z
dc.date.issued2018-07-24
dc.description.abstractRecent 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.en_GB
dc.description.sponsorshipAimee K. Murray was supported by a BBSRC/AZ CASE Studentship, BB/L502509/1. Lihong Zhang was supported by Natural Environment Research Council grant NE/ M011259/1. Chemical quantification was performed at the University of Exeter Streatham Campus by Maciek Trnzadel and Malcolm Hetheridge, cofunded by Astra Zeneca Global SHE and the University of Exeter.en_GB
dc.identifier.citationVol. 9 (4), e00969-18en_GB
dc.identifier.doi10.1128/mBio.00969-18
dc.identifier.urihttp://hdl.handle.net/10871/33550
dc.language.isoenen_GB
dc.publisherAmerican Society for Microbiologyen_GB
dc.rightsCopyright © 2018 Murray et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license.en_GB
dc.subjectantibiotic resistanceen_GB
dc.subjectmicrobial ecologyen_GB
dc.subjectmetagenomicsen_GB
dc.subjectevolutionen_GB
dc.titleNovel Insights into Selection for Antibiotic Resistance in Complex Microbial Communitiesen_GB
dc.typeArticleen_GB
dc.date.available2018-07-26T14:35:40Z
dc.identifier.issn2150-7511
dc.descriptionThis is the final version of the article. Available from American Society for Microbiology via the DOI in this record.en_GB
dc.identifier.journalmBioen_GB


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