Detection of SARS-CoV-2 B.1.351 (Beta) Variant through Wastewater Surveillance before Case Detection in a Community, Oregon, USA

Details

• Alternative Title:
  Emerg Infect Dis
• Personal 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.
• 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.
• Subjects:
  Humans Phylogeny Reproducibility Of Results Waste Water Wastewater-Based Epidemiological Monitoring
• Source:
  Emerg Infect Dis. 2022; 28(6):1101-1109
• Pubmed ID:
  35452383
• Pubmed Central ID:
  PMC9155900
• Document Type:
  Journal Article
• Place as Subject:
  Oregon
• Volume:
  28
• Issue:
  6
• Collection(s):
  Emerging Infectious Diseases
• Main Document Checksum:
  urn:sha256:38b5878dcf0cdfdbff221924422ad1371080900c5f644f702d81314f7177a721
• Download URL:
  https://stacks.cdc.gov/view/cdc/118170/cdc_118170_DS1.pdf
• File Type:
  [PDF - 1.95 MB ]