tetano
Editor, Senior Moderator
Emerg Infect Dis
. 2022 Apr 22;28(6).
doi: 10.3201/eid2806.211821. Online ahead of print.
Detection of SARS-CoV-2 B.1.351 (Beta) Variant through Wastewater Surveillance before Case Detection in a Community, Oregon, USA
Melissa Sutton, Tyler S Radniecki, Devrim Kaya, Dana Alegre, Matthew Geniza, Anne-Marie Girard, Katherine Carter, Mark Dasenko, Justin L Sanders, Paul R Cieslak, Christine Kelly, Brett M Tyler
Abstract
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.
Keywords: COVID-19; MLST; NGS; Oregon; SARS-CoV-2; coronavirus disease; genomic epidemiology; multilocus sequence typing; next-generation sequencing; public health; respiratory infections; severe acute respiratory syndrome coronavirus 2; vaccine-preventable diseases; viruses; wastewater surveillance; wastewater-based epidemiology; zoonoses.
. 2022 Apr 22;28(6).
doi: 10.3201/eid2806.211821. Online ahead of print.
Detection of SARS-CoV-2 B.1.351 (Beta) Variant through Wastewater Surveillance before Case Detection in a Community, Oregon, USA
Melissa Sutton, Tyler S Radniecki, Devrim Kaya, Dana Alegre, Matthew Geniza, Anne-Marie Girard, Katherine Carter, Mark Dasenko, Justin L Sanders, Paul R Cieslak, Christine Kelly, Brett M Tyler
- PMID: 35452383
- DOI: 10.3201/eid2806.211821
Abstract
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.
Keywords: COVID-19; MLST; NGS; Oregon; SARS-CoV-2; coronavirus disease; genomic epidemiology; multilocus sequence typing; next-generation sequencing; public health; respiratory infections; severe acute respiratory syndrome coronavirus 2; vaccine-preventable diseases; viruses; wastewater surveillance; wastewater-based epidemiology; zoonoses.