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Article: A coliform-targeted metagenomic method facilitating human exposure estimates to Escherichia coli-borne antibiotic resistance genes

TitleA coliform-targeted metagenomic method facilitating human exposure estimates to Escherichia coli-borne antibiotic resistance genes
Authors
KeywordsAntibiotic resistance
Bathing waters
Escherichia coli
High-throughput sequencing
Recreation
Issue Date2018
PublisherOxford University Press. The Journal's web site is located at http://femsec.oxfordjournals.org/
Citation
FEMS Microbiology Ecology, 2018, v. 94 n. 3, p. article no. fiy024 How to Cite?
AbstractAntimicrobial resistance and the spread of antibiotic resistance genes (ARGs) pose a threat to human health. Community-acquired infections resistant to treatment with first-line antibiotics are increasing, and there are few studies investigating environmental exposures and transmission. Our objective is to develop a novel targeted metagenomic method to quantify the abundance and diversity of ARGs in a faecal indicator bacterium, and to estimate human exposure to resistant bacteria in a natural environment. Sequence data from Escherichia coli metagenomes from 13 bathing waters in England were analysed using the ARGs Online Analysis Pipeline to estimate the abundance and diversity of resistance determinants borne by this indicator bacterium. These data were averaged over the 13 sites and used along with data on the levels of E. coli in English bathing waters in 2016 and estimates of the volume of water that water users typically ingest in an average session of their chosen activityto quantify the numbers of ARGs that water users ingest. Escherichia coli in coastal bathing waters were found to harbour on average 1.24 ARGs per cell. Approximately 2.5 million water sports sessions occurred in England in 2016 that resulted in water users ingesting at least 100 E. coli-borne ARGs.
DescriptionLink to Free access
Persistent Identifierhttp://hdl.handle.net/10722/293289
ISSN
2019 Impact Factor: 3.675
2015 SCImago Journal Rankings: 1.687
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLeonard, AFC-
dc.contributor.authorYin, XL-
dc.contributor.authorZhang, T-
dc.contributor.authorHui, M-
dc.contributor.authorGaze, WH-
dc.date.accessioned2020-11-23T08:14:34Z-
dc.date.available2020-11-23T08:14:34Z-
dc.date.issued2018-
dc.identifier.citationFEMS Microbiology Ecology, 2018, v. 94 n. 3, p. article no. fiy024-
dc.identifier.issn0168-6496-
dc.identifier.urihttp://hdl.handle.net/10722/293289-
dc.descriptionLink to Free access-
dc.description.abstractAntimicrobial resistance and the spread of antibiotic resistance genes (ARGs) pose a threat to human health. Community-acquired infections resistant to treatment with first-line antibiotics are increasing, and there are few studies investigating environmental exposures and transmission. Our objective is to develop a novel targeted metagenomic method to quantify the abundance and diversity of ARGs in a faecal indicator bacterium, and to estimate human exposure to resistant bacteria in a natural environment. Sequence data from Escherichia coli metagenomes from 13 bathing waters in England were analysed using the ARGs Online Analysis Pipeline to estimate the abundance and diversity of resistance determinants borne by this indicator bacterium. These data were averaged over the 13 sites and used along with data on the levels of E. coli in English bathing waters in 2016 and estimates of the volume of water that water users typically ingest in an average session of their chosen activityto quantify the numbers of ARGs that water users ingest. Escherichia coli in coastal bathing waters were found to harbour on average 1.24 ARGs per cell. Approximately 2.5 million water sports sessions occurred in England in 2016 that resulted in water users ingesting at least 100 E. coli-borne ARGs.-
dc.languageeng-
dc.publisherOxford University Press. The Journal's web site is located at http://femsec.oxfordjournals.org/-
dc.relation.ispartofFEMS Microbiology Ecology-
dc.rightsPre-print: Journal Title] ©: [year] [owner as specified on the article] Published by Oxford University Press [on behalf of xxxxxx]. All rights reserved. Pre-print (Once an article is published, preprint notice should be amended to): This is an electronic version of an article published in [include the complete citation information for the final version of the Article as published in the print edition of the Journal.] Post-print: This is a pre-copy-editing, author-produced PDF of an article accepted for publication in [insert journal title] following peer review. The definitive publisher-authenticated version [insert complete citation information here] is available online at: xxxxxxx [insert URL that the author will receive upon publication here].-
dc.subjectAntibiotic resistance-
dc.subjectBathing waters-
dc.subjectEscherichia coli-
dc.subjectHigh-throughput sequencing-
dc.subjectRecreation-
dc.titleA coliform-targeted metagenomic method facilitating human exposure estimates to Escherichia coli-borne antibiotic resistance genes-
dc.typeArticle-
dc.identifier.emailZhang, T: zhangt@hkucc.hku.hk-
dc.identifier.authorityZhang, T=rp00211-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1093/femsec/fiy024-
dc.identifier.pmid29471354-
dc.identifier.scopuseid_2-s2.0-85054883246-
dc.identifier.hkuros319348-
dc.identifier.volume94-
dc.identifier.issue3-
dc.identifier.spagearticle no. fiy024-
dc.identifier.epagearticle no. fiy024-
dc.identifier.isiWOS:000429480200018-
dc.publisher.placeUnited Kingdom-
dc.identifier.issnl0168-6496-

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