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Identification of a rare SARS-CoV-2 XL hybrid variant in wastewater and the subsequent discovery of two infected individuals in Nevada.
Vo, Van; Harrington, Anthony; Afzal, Salman; Papp, Katerina; Chang, Ching-Lan; Baker, Hayley; Aguilar, Perseveranda; Buttery, Erin; Picker, Michael A; Lockett, Cassius; Gerrity, Daniel; Kan, Horng-Yuan; Oh, Edwin C.
Afiliação
  • Vo V; Laboratory of Neurogenetics and Precision Medicine, University of Nevada Las Vegas, Las Vegas, NV 89154, USA; Nevada Institute of Personalized Medicine, University of Nevada Las Vegas, Las Vegas, NV 89154, USA.
  • Harrington A; Laboratory of Neurogenetics and Precision Medicine, University of Nevada Las Vegas, Las Vegas, NV 89154, USA.
  • Afzal S; Southern Nevada Health District, Las Vegas, NV 89106, USA.
  • Papp K; Southern Nevada Water Authority, P.O. Box 99954, Las Vegas, NV 89193, USA.
  • Chang CL; Laboratory of Neurogenetics and Precision Medicine, University of Nevada Las Vegas, Las Vegas, NV 89154, USA.
  • Baker H; Laboratory of Neurogenetics and Precision Medicine, University of Nevada Las Vegas, Las Vegas, NV 89154, USA.
  • Aguilar P; Southern Nevada Health District, Las Vegas, NV 89106, USA.
  • Buttery E; Southern Nevada Health District, Las Vegas, NV 89106, USA.
  • Picker MA; Southern Nevada Health District, Las Vegas, NV 89106, USA.
  • Lockett C; Southern Nevada Health District, Las Vegas, NV 89106, USA. Electronic address: lockett@snhd.org.
  • Gerrity D; Southern Nevada Water Authority, P.O. Box 99954, Las Vegas, NV 89193, USA. Electronic address: daniel.gerrity@snwa.com.
  • Kan HY; Southern Nevada Health District, Las Vegas, NV 89106, USA. Electronic address: kan@snhd.org.
  • Oh EC; Laboratory of Neurogenetics and Precision Medicine, University of Nevada Las Vegas, Las Vegas, NV 89154, USA; Nevada Institute of Personalized Medicine, University of Nevada Las Vegas, Las Vegas, NV 89154, USA; Department of Internal Medicine, UNLV School of Medicine, University of Nevada Las Vegas,
Sci Total Environ ; 858(Pt 3): 160024, 2023 Feb 01.
Article em En | MEDLINE | ID: mdl-36356728
ABSTRACT
The identification of novel SARS-CoV-2 variants can predict new patterns of COVID-19 community transmission and lead to the deployment of public health resources. However, increased access to at-home antigen tests and reduced free PCR tests have recently led to data gaps for the surveillance of evolving SARS-CoV-2 variants. To overcome such limitations, we asked whether wastewater surveillance could be leveraged to detect rare variants circulating in a community before local detection in human cases. Here, we performed whole genome sequencing (WGS) of SARS-CoV-2 from a wastewater treatment plant serving Las Vegas, Nevada in April 2022. Using metrics that exceeded 100× depth at a coverage of >90 % of the viral genome, we identified a variant profile similar to the XL recombinant lineage containing 26 mutations found in BA.1 and BA.2 and three private mutations. Prompted by the discovery of this rare lineage in wastewater, we analyzed clinical COVID-19 sequencing data from Southern Nevada and identified two cases infected with the XL lineage. Taken together, our data highlight how wastewater genome sequencing data can be used to discover rare SARS-CoV-2 lineages in a community and complement local public health surveillance.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: SARS-CoV-2 / COVID-19 Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Revista: Sci Total Environ Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: SARS-CoV-2 / COVID-19 Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Revista: Sci Total Environ Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos