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Evaluation of Metagenomic-Enabled Antibiotic Resistance Surveillance at a Conventional Wastewater Treatment Plant

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dc.contributor.authorMajeed, Haniyyah J.en
dc.contributor.authorRiquelme, Maria V.en
dc.contributor.authorDavis, Benjamin C.en
dc.contributor.authorGupta, Surajen
dc.contributor.authorAngeles, Luisa F.en
dc.contributor.authorAga, Diana S.en
dc.contributor.authorGarner, Emilyen
dc.contributor.authorPruden, Amyen
dc.contributor.authorVikesland, Peter J.en
dc.contributor.departmentCivil and Environmental Engineeringen
dc.date.accessioned2021-08-25T12:02:24Zen
dc.date.available2021-08-25T12:02:24Zen
dc.date.issued2021-05-13en
dc.date.updated2021-08-25T12:02:20Zen
dc.description.abstractWastewater treatment plants (WWTPs) receive a confluence of sewage containing antimicrobials, antibiotic resistant bacteria, antibiotic resistance genes (ARGs), and pathogens and thus are a key point of interest for antibiotic resistance surveillance. WWTP monitoring has the potential to inform with respect to the antibiotic resistance status of the community served as well as the potential for ARGs to escape treatment. However, there is lack of agreement regarding suitable sampling frequencies and monitoring targets to facilitate comparison within and among individual WWTPs. The objective of this study was to comprehensively evaluate patterns in metagenomic-derived indicators of antibiotic resistance through various stages of treatment at a conventional WWTP for the purpose of informing local monitoring approaches that are also informative for global comparison. Relative abundance of total ARGs decreased by ∼50% from the influent to the effluent, with each sampling location defined by a unique resistome (i.e., total ARG) composition. However, 90% of the ARGs found in the effluent were also detected in the influent, while the effluent ARG-pathogen taxonomic linkage patterns identified in assembled metagenomes were more similar to patterns in regional clinical surveillance data than the patterns identified in the influent. Analysis of core and discriminatory resistomes and general ARG trends across the eight sampling events (i.e., tendency to be removed, increase, decrease, or be found in the effluent only), along with quantification of ARGs of clinical concern, aided in identifying candidate ARGs for surveillance. Relative resistome risk characterization further provided a comprehensive metric for predicting the relative mobility of ARGs and likelihood of being carried in pathogens and can help to prioritize where to focus future monitoring and mitigation. Most antibiotics that were subject to regional resistance testing were also found in the WWTP, with the total antibiotic load decreasing by ∼40–50%, but no strong correlations were found between antibiotics and corresponding ARGs. Overall, this study provides insight into how metagenomic data can be collected and analyzed for surveillance of antibiotic resistance at WWTPs, suggesting that effluent is a beneficial monitoring point with relevance both to the local clinical condition and for assessing efficacy of wastewater treatment in reducing risk of disseminating antibiotic resistance.en
dc.description.versionPublished versionen
dc.format.extent19 page(s)en
dc.format.mimetypeapplication/pdfen
dc.identifierARTN 657954 (Article number)en
dc.identifier.doihttps://doi.org/10.3389/fmicb.2021.657954en
dc.identifier.eissn1664-302Xen
dc.identifier.issn1664-302Xen
dc.identifier.orcidVikesland, Peter [0000-0003-2654-5132]en
dc.identifier.pmid34054755en
dc.identifier.urihttp://hdl.handle.net/10919/104703en
dc.identifier.volume12en
dc.language.isoenen
dc.publisherFrontiersen
dc.relation.urihttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000655038000001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=930d57c9ac61a043676db62af60056c1en
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectLife Sciences & Biomedicineen
dc.subjectMicrobiologyen
dc.subjectshotgun sequencingen
dc.subjectresistomeen
dc.subjectmicrobiomeen
dc.subjectantibioticsen
dc.subjectantibiogramsen
dc.subjectresistome (ARGs and MGEs)en
dc.subjectESCHERICHIA-COLIen
dc.subjectGENESen
dc.subjectPREVALENCEen
dc.subjectBACTERIAen
dc.subjectHOTSPOTSen
dc.subjectSEWAGEen
dc.subject0502 Environmental Science and Managementen
dc.subject0503 Soil Sciencesen
dc.subject0605 Microbiologyen
dc.titleEvaluation of Metagenomic-Enabled Antibiotic Resistance Surveillance at a Conventional Wastewater Treatment Planten
dc.title.serialFrontiers in Microbiologyen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten
dc.type.otherArticleen
dc.type.otherJournalen
dcterms.dateAccepted2021-04-12en
pubs.organisational-group/Virginia Techen
pubs.organisational-group/Virginia Tech/Engineeringen
pubs.organisational-group/Virginia Tech/Engineering/Civil & Environmental Engineeringen
pubs.organisational-group/Virginia Tech/University Research Institutesen
pubs.organisational-group/Virginia Tech/University Research Institutes/Fralin Life Sciencesen
pubs.organisational-group/Virginia Tech/All T&R Facultyen
pubs.organisational-group/Virginia Tech/Engineering/COE T&R Facultyen
pubs.organisational-group/Virginia Tech/University Research Institutes/Fralin Life Sciences/Durelle Scotten

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