dc.contributor.author | Murray, AK | |
dc.contributor.author | Zhang, L | |
dc.contributor.author | Yin, X | |
dc.contributor.author | Zhang, T | |
dc.contributor.author | Buckling, A | |
dc.contributor.author | Snape, J | |
dc.contributor.author | Gaze, W | |
dc.date.accessioned | 2018-07-26T14:35:40Z | |
dc.date.issued | 2018-07-24 | |
dc.description.abstract | 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. | en_GB |
dc.description.sponsorship | Aimee 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.citation | Vol. 9 (4), e00969-18 | en_GB |
dc.identifier.doi | 10.1128/mBio.00969-18 | |
dc.identifier.uri | http://hdl.handle.net/10871/33550 | |
dc.language.iso | en | en_GB |
dc.publisher | American Society for Microbiology | en_GB |
dc.rights | Copyright © 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.subject | antibiotic resistance | en_GB |
dc.subject | microbial ecology | en_GB |
dc.subject | metagenomics | en_GB |
dc.subject | evolution | en_GB |
dc.title | Novel Insights into Selection for Antibiotic Resistance in Complex Microbial Communities | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2018-07-26T14:35:40Z | |
dc.identifier.issn | 2150-7511 | |
dc.description | This is the final version of the article. Available from American Society for Microbiology via the DOI in this record. | en_GB |
dc.identifier.journal | mBio | en_GB |