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Overexpression of antibiotic resistance genes in hospital effluents over time

Objectives: Effluents contain a diverse abundance of antibiotic resistance genes that augment the resistome of receiving aquatic environments. However, uncertainty remains regarding their temporal persistence, transcription and response to anthropogenic factors, such as antibiotic usage. We present...

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Autores principales: Rowe, Will P. M., Baker-Austin, Craig, Verner-Jeffreys, David W., Ryan, Jim J., Micallef, Christianne, Maskell, Duncan J., Pearce, Gareth P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5437528/
https://www.ncbi.nlm.nih.gov/pubmed/28175320
http://dx.doi.org/10.1093/jac/dkx017
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author Rowe, Will P. M.
Baker-Austin, Craig
Verner-Jeffreys, David W.
Ryan, Jim J.
Micallef, Christianne
Maskell, Duncan J.
Pearce, Gareth P.
author_facet Rowe, Will P. M.
Baker-Austin, Craig
Verner-Jeffreys, David W.
Ryan, Jim J.
Micallef, Christianne
Maskell, Duncan J.
Pearce, Gareth P.
author_sort Rowe, Will P. M.
collection PubMed
description Objectives: Effluents contain a diverse abundance of antibiotic resistance genes that augment the resistome of receiving aquatic environments. However, uncertainty remains regarding their temporal persistence, transcription and response to anthropogenic factors, such as antibiotic usage. We present a spatiotemporal study within a river catchment (River Cam, UK) that aims to determine the contribution of antibiotic resistance gene-containing effluents originating from sites of varying antibiotic usage to the receiving environment. Methods: Gene abundance in effluents (municipal hospital and dairy farm) was compared against background samples of the receiving aquatic environment (i.e. the catchment source) to determine the resistome contribution of effluents. We used metagenomics and metatranscriptomics to correlate DNA and RNA abundance and identified differentially regulated gene transcripts. Results: We found that mean antibiotic resistance gene and transcript abundances were correlated for both hospital (ρ = 0.9, two-tailed P <0.0001) and farm (ρ = 0.5, two-tailed P  <0.0001) effluents and that two β-lactam resistance genes (bla(GES) and bla(OXA)) were overexpressed in all hospital effluent samples. High β-lactam resistance gene transcript abundance was related to hospital antibiotic usage over time and hospital effluents contained antibiotic residues. Conclusions: We conclude that effluents contribute high levels of antibiotic resistance genes to the aquatic environment; these genes are expressed at significant levels and are possibly related to the level of antibiotic usage at the effluent source.
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spelling pubmed-54375282017-05-24 Overexpression of antibiotic resistance genes in hospital effluents over time Rowe, Will P. M. Baker-Austin, Craig Verner-Jeffreys, David W. Ryan, Jim J. Micallef, Christianne Maskell, Duncan J. Pearce, Gareth P. J Antimicrob Chemother Original Research Objectives: Effluents contain a diverse abundance of antibiotic resistance genes that augment the resistome of receiving aquatic environments. However, uncertainty remains regarding their temporal persistence, transcription and response to anthropogenic factors, such as antibiotic usage. We present a spatiotemporal study within a river catchment (River Cam, UK) that aims to determine the contribution of antibiotic resistance gene-containing effluents originating from sites of varying antibiotic usage to the receiving environment. Methods: Gene abundance in effluents (municipal hospital and dairy farm) was compared against background samples of the receiving aquatic environment (i.e. the catchment source) to determine the resistome contribution of effluents. We used metagenomics and metatranscriptomics to correlate DNA and RNA abundance and identified differentially regulated gene transcripts. Results: We found that mean antibiotic resistance gene and transcript abundances were correlated for both hospital (ρ = 0.9, two-tailed P <0.0001) and farm (ρ = 0.5, two-tailed P  <0.0001) effluents and that two β-lactam resistance genes (bla(GES) and bla(OXA)) were overexpressed in all hospital effluent samples. High β-lactam resistance gene transcript abundance was related to hospital antibiotic usage over time and hospital effluents contained antibiotic residues. Conclusions: We conclude that effluents contribute high levels of antibiotic resistance genes to the aquatic environment; these genes are expressed at significant levels and are possibly related to the level of antibiotic usage at the effluent source. Oxford University Press 2017-06 2017-02-08 /pmc/articles/PMC5437528/ /pubmed/28175320 http://dx.doi.org/10.1093/jac/dkx017 Text en © The Author 2017. Published by Oxford University Press on behalf of the British Society for Antimicrobial Chemotherapy. 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 reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research
Rowe, Will P. M.
Baker-Austin, Craig
Verner-Jeffreys, David W.
Ryan, Jim J.
Micallef, Christianne
Maskell, Duncan J.
Pearce, Gareth P.
Overexpression of antibiotic resistance genes in hospital effluents over time
title Overexpression of antibiotic resistance genes in hospital effluents over time
title_full Overexpression of antibiotic resistance genes in hospital effluents over time
title_fullStr Overexpression of antibiotic resistance genes in hospital effluents over time
title_full_unstemmed Overexpression of antibiotic resistance genes in hospital effluents over time
title_short Overexpression of antibiotic resistance genes in hospital effluents over time
title_sort overexpression of antibiotic resistance genes in hospital effluents over time
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5437528/
https://www.ncbi.nlm.nih.gov/pubmed/28175320
http://dx.doi.org/10.1093/jac/dkx017
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