Demonstrating a Comprehensive Wastewater-Based Surveillance Approach That Differentiates Globally Sourced Resistomes

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dc.contributor.authorPrieto Riquelme, Maria Virginiaen
dc.contributor.authorGarner, Emilyen
dc.contributor.authorGupta, Surajen
dc.contributor.authorMetch, Jakeen
dc.contributor.authorZhu, Nien
dc.contributor.authorBlair, Matthew F.en
dc.contributor.authorArango-Argoty, Gustavoen
dc.contributor.authorMaile-Moskowitz, Ayellaen
dc.contributor.authorLi, An-dongen
dc.contributor.authorFlach, Carl-Fredriken
dc.contributor.authorAga, Diana S.en
dc.contributor.authorNambi, Indumathi M.en
dc.contributor.authorLarsson, D. G. Joakimen
dc.contributor.authorBürgmann, Helmuten
dc.contributor.authorZhang, Tongen
dc.contributor.authorPruden, Amyen
dc.contributor.authorVikesland, Peter J.en
dc.date.accessioned2022-06-29T12:51:59Zen
dc.date.available2022-06-29T12:51:59Zen
dc.date.issued2022-06-27en
dc.description.abstractWastewater-based surveillance (WBS) for disease monitoring is highly promising but requires consistent methodologies that incorporate predetermined objectives, targets, and metrics. Herein, we describe a comprehensive metagenomics-based approach for global surveillance of antibiotic resistance in sewage that enables assessment of 1) which antibiotic resistance genes (ARGs) are shared across regions/communities; 2) which ARGs are discriminatory; and 3) factors associated with overall trends in ARGs, such as antibiotic concentrations. Across an internationally sourced transect of sewage samples collected using a centralized, standardized protocol, ARG relative abundances (16S rRNA gene-normalized) were highest in Hong Kong and India and lowest in Sweden and Switzerland, reflecting national policy, measured antibiotic concentrations, and metal resistance genes. Asian versus European/US resistomes were distinct, with macrolide-lincosamide-streptogramin, phenicol, quinolone, and tetracycline versus multidrug resistance ARGs being discriminatory, respectively. Regional trends in measured antibiotic concentrations differed from trends expected from public sales data. This could reflect unaccounted uses, captured only by the WBS approach. If properly benchmarked, antibiotic WBS might complement public sales and consumption statistics in the future. The WBS approach defined herein demonstrates multisite comparability and sensitivity to local/regional factors.en
dc.description.sponsorshipThis material is based upon work supported by the U.S. National Science Foundation (NSF) Award OISE: 1545756. Additional funding to D.G.J.L. was provided by the Swedish research council VR (2018-05771) and the Region Västra Götaland under the ALF agreement (grant number ALFGBG-717901). Funding for H.B. was provided by the Swiss National Science Foundation under the NRP72 “Antimicrobial resistance”, grant 167116.en
dc.description.versionPublished versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1021/acs.est.1c08673en
dc.identifier.urihttp://hdl.handle.net/10919/110975en
dc.language.isoenen
dc.publisherACSen
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivatives 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en
dc.subjectAntibiotic resistanceen
dc.subjectMicrobiomeen
dc.subjectWastewater-based surveillanceen
dc.subjectSewageen
dc.subjectResistomeen
dc.subjectMetagenomicsen
dc.titleDemonstrating a Comprehensive Wastewater-Based Surveillance Approach That Differentiates Globally Sourced Resistomesen
dc.title.serialEnvironmental Science & Technologyen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten

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