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dc.contributor.authorLee, Wei Lin
dc.contributor.authorImakaev, Maxim
dc.contributor.authorArmas, Federica
dc.contributor.authorMcElroy, Kyle A.
dc.contributor.authorGu, Xiaoqiong
dc.contributor.authorDuvallet, Claire
dc.contributor.authorChandra, Franciscus
dc.contributor.authorChen, Hongjie
dc.contributor.authorLeifels, Mats
dc.contributor.authorMendola, Samuel
dc.contributor.authorFloyd-O’Sullivan, Róisín
dc.contributor.authorPowell, Morgan M.
dc.contributor.authorWilson, Shane T.
dc.contributor.authorBerge, Karl L. J.
dc.contributor.authorLim, Claire Y. J.
dc.contributor.authorWu, Fuqing
dc.contributor.authorXiao, Amy
dc.contributor.authorMoniz, Katya H
dc.contributor.authorGhaeli, Newsha
dc.contributor.authorMatus, Mariana
dc.contributor.authorThompson, Janelle
dc.contributor.authorAlm, Eric J.
dc.date.accessioned2021-08-05T20:10:25Z
dc.date.available2021-08-05T20:10:25Z
dc.date.issued2021-07
dc.date.submitted2021-06
dc.identifier.issn2328-8930
dc.identifier.issn2328-8930
dc.identifier.urihttps://hdl.handle.net/1721.1/131141
dc.description.abstractThe critical need for surveillance of SARS-CoV-2 variants of concern has prompted the development of methods that can track variants in wastewater. Here, we develop and present an open-source method based on allele-specific RT-qPCR (AS RT-qPCR) that detects and quantifies the B.1.1.7 variant, targeting spike protein mutations at three independent genomic loci that are highly predictive of B.1.1.7 (HV69/70del, Y144del, and A570D). Our assays can reliably detect and quantify low levels of B.1.1.7 with low cross-reactivity, and at variant proportions down to 1% in a background of mixed SARS-CoV-2. Applying our method to wastewater samples from the United States, we track the occurrence of B.1.1.7 over time in 19 communities. AS RT-qPCR results align with clinical trends, and summation of B.1.1.7 and wild-type sequences quantified by our assays matches SARS-CoV-2 levels indicated by the U.S. CDC N1 and N2 assays. This work paves the way for AS RT-qPCR as a method for rapid inexpensive surveillance of SARS-CoV-2 variants in wastewater.en_US
dc.publisherAmerican Chemical Society (ACS)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1021/acs.estlett.1c00375en_US
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivs Licenseen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.sourceACSen_US
dc.titleQuantitative SARS-CoV-2 Alpha Variant B.1.1.7 Tracking in Wastewater by Allele-Specific RT-qPCRen_US
dc.typeArticleen_US
dc.identifier.citationLee, Wei Lin et al. "Quantitative SARS-CoV-2 Alpha Variant B.1.1.7 Tracking in Wastewater by Allele-Specific RT-qPCR." Environmental Science & Technology Letters (July 2021): dx.doi.org/10.1021/acs.estlett.1c00375. © 2021 The Authorsen_US
dc.contributor.departmentMassachusetts Institute of Technology. Center for Microbiome Informatics and Therapeuticsen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biological Engineeringen_US
dc.contributor.departmentSingapore-MIT Alliance in Research and Technology (SMART)en_US
dc.relation.journalEnvironmental Science & Technology Lettersen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.date.submission2021-08-05T12:35:51Z
mit.licensePUBLISHER_CC
mit.metadata.statusComplete


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