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Mutations in emerging variant of concern lineages disrupt genomic sequencing of SARS-CoV-2 clinical specimens
Kevin S Kuchinski; Jason Nguyen; Tracy D Lee; Rebecca Hickman; Agatha N Jassem; Linda MN Hoang; Natalie A Prystajecky; John R Tyson.
Affiliation
  • Kevin S Kuchinski; University of British Columbia/BC Centre for Disease Control
  • Jason Nguyen; British Columbia Centre for Disease Control Public Health Laboratory
  • Tracy D Lee; British Columbia Centre for Disease Control Public Health Laboratory
  • Rebecca Hickman; British Columbia Centre for Disease Control Public Health Laboratory
  • Agatha N Jassem; University of British Columbia/British Columbia Centre for Disease Control Public Health Laboratory
  • Linda MN Hoang; University of British Columbia/British Columbia Centre for Disease Control Public Health Laboratory
  • Natalie A Prystajecky; University of British Columbia/British Columbia Centre for Disease Control Public Health Laboratory
  • John R Tyson; British Columbia Centre for Disease Control Public Health Laboratory
Preprint in En | PREPRINT-MEDRXIV | ID: ppmedrxiv-21258181
Journal article
A scientific journal published article is available and is probably based on this preprint. It has been identified through a machine matching algorithm, human confirmation is still pending.
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ABSTRACT
Mutations in emerging SARS-CoV-2 lineages can interfere with the laboratory methods used to generate high-quality genome sequences for COVID-19 surveillance. Here, we identify 46 mutations in current variant of concern lineages affecting the widely used laboratory protocols for SARS-CoV-2 genomic sequencing by Freed et al. and the ARTIC network. We provide laboratory data showing how three of these mutations disrupted sequencing of P.1 lineage specimens during a recent outbreak in British Columbia, Canada, and we also demonstrate how we modified the Freed et al. protocol to restore performance.
License
cc_by_nc
Full text: 1 Collection: 09-preprints Database: PREPRINT-MEDRXIV Type of study: Prognostic_studies Language: En Year: 2021 Document type: Preprint
Full text: 1 Collection: 09-preprints Database: PREPRINT-MEDRXIV Type of study: Prognostic_studies Language: En Year: 2021 Document type: Preprint