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Detection of SARS-CoV-2 B.1.351 (Beta) Variant through Wastewater Surveillance before Case Detection in a Community, Oregon, USA
Genomic surveillance has emerged as a critical monitoring tool during the SARS-CoV-2 pandemic. Wastewater surveillance has the potential to identify and track SARS-CoV-2 variants in the community, including emerging variants. We demonstrate the novel use of multilocus sequence typing to identify SAR...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Centers for Disease Control and Prevention
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9155900/ https://www.ncbi.nlm.nih.gov/pubmed/35452383 http://dx.doi.org/10.3201/eid2806.211821 |
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author | Sutton, Melissa Radniecki, Tyler S. Kaya, Devrim Alegre, Dana Geniza, Matthew Girard, Anne-Marie Carter, Katherine Dasenko, Mark Sanders, Justin L. Cieslak, Paul R. Kelly, Christine Tyler, Brett M. |
author_facet | Sutton, Melissa Radniecki, Tyler S. Kaya, Devrim Alegre, Dana Geniza, Matthew Girard, Anne-Marie Carter, Katherine Dasenko, Mark Sanders, Justin L. Cieslak, Paul R. Kelly, Christine Tyler, Brett M. |
author_sort | Sutton, Melissa |
collection | PubMed |
description | Genomic surveillance has emerged as a critical monitoring tool during the SARS-CoV-2 pandemic. Wastewater surveillance has the potential to identify and track SARS-CoV-2 variants in the community, including emerging variants. We demonstrate the novel use of multilocus sequence typing to identify SARS-CoV-2 variants in wastewater. Using this technique, we observed the emergence of the B.1.351 (Beta) variant in Linn County, Oregon, USA, in wastewater 12 days before this variant was identified in individual clinical specimens. During the study period, we identified 42 B.1.351 clinical specimens that clustered into 3 phylogenetic clades. Eighteen of the 19 clinical specimens and all wastewater B.1.351 specimens from Linn County clustered into clade 1. Our results provide further evidence of the reliability of wastewater surveillance to report localized SARS-CoV-2 sequence information. |
format | Online Article Text |
id | pubmed-9155900 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Centers for Disease Control and Prevention |
record_format | MEDLINE/PubMed |
spelling | pubmed-91559002022-06-04 Detection of SARS-CoV-2 B.1.351 (Beta) Variant through Wastewater Surveillance before Case Detection in a Community, Oregon, USA Sutton, Melissa Radniecki, Tyler S. Kaya, Devrim Alegre, Dana Geniza, Matthew Girard, Anne-Marie Carter, Katherine Dasenko, Mark Sanders, Justin L. Cieslak, Paul R. Kelly, Christine Tyler, Brett M. Emerg Infect Dis Synopsis Genomic surveillance has emerged as a critical monitoring tool during the SARS-CoV-2 pandemic. Wastewater surveillance has the potential to identify and track SARS-CoV-2 variants in the community, including emerging variants. We demonstrate the novel use of multilocus sequence typing to identify SARS-CoV-2 variants in wastewater. Using this technique, we observed the emergence of the B.1.351 (Beta) variant in Linn County, Oregon, USA, in wastewater 12 days before this variant was identified in individual clinical specimens. During the study period, we identified 42 B.1.351 clinical specimens that clustered into 3 phylogenetic clades. Eighteen of the 19 clinical specimens and all wastewater B.1.351 specimens from Linn County clustered into clade 1. Our results provide further evidence of the reliability of wastewater surveillance to report localized SARS-CoV-2 sequence information. Centers for Disease Control and Prevention 2022-06 /pmc/articles/PMC9155900/ /pubmed/35452383 http://dx.doi.org/10.3201/eid2806.211821 Text en https://creativecommons.org/licenses/by/4.0/Emerging Infectious Diseases is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited. |
spellingShingle | Synopsis Sutton, Melissa Radniecki, Tyler S. Kaya, Devrim Alegre, Dana Geniza, Matthew Girard, Anne-Marie Carter, Katherine Dasenko, Mark Sanders, Justin L. Cieslak, Paul R. Kelly, Christine Tyler, Brett M. Detection of SARS-CoV-2 B.1.351 (Beta) Variant through Wastewater Surveillance before Case Detection in a Community, Oregon, USA |
title | Detection of SARS-CoV-2 B.1.351 (Beta) Variant through Wastewater Surveillance before Case Detection in a Community, Oregon, USA |
title_full | Detection of SARS-CoV-2 B.1.351 (Beta) Variant through Wastewater Surveillance before Case Detection in a Community, Oregon, USA |
title_fullStr | Detection of SARS-CoV-2 B.1.351 (Beta) Variant through Wastewater Surveillance before Case Detection in a Community, Oregon, USA |
title_full_unstemmed | Detection of SARS-CoV-2 B.1.351 (Beta) Variant through Wastewater Surveillance before Case Detection in a Community, Oregon, USA |
title_short | Detection of SARS-CoV-2 B.1.351 (Beta) Variant through Wastewater Surveillance before Case Detection in a Community, Oregon, USA |
title_sort | detection of sars-cov-2 b.1.351 (beta) variant through wastewater surveillance before case detection in a community, oregon, usa |
topic | Synopsis |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9155900/ https://www.ncbi.nlm.nih.gov/pubmed/35452383 http://dx.doi.org/10.3201/eid2806.211821 |
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