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COVID-19 CG enables SARS-CoV-2 mutation and lineage tracking by locations and dates of interest

Authors :
Albert Tian Chen
Kevin Altschuler
Shing Hei Zhan
Yujia Alina Chan
Benjamin E Deverman
Source :
eLife, Vol 10 (2021)
Publication Year :
2021
Publisher :
eLife Sciences Publications Ltd, 2021.

Abstract

COVID-19 CG (covidcg.org) is an open resource for tracking SARS-CoV-2 single-nucleotide variations (SNVs), lineages, and clades using the virus genomes on the GISAID database while filtering by location, date, gene, and mutation of interest. COVID-19 CG provides significant time, labor, and cost-saving utility to projects on SARS-CoV-2 transmission, evolution, diagnostics, therapeutics, vaccines, and intervention tracking. Here, we describe case studies in which users can interrogate (1) SNVs in the SARS-CoV-2 spike receptor binding domain (RBD) across different geographical regions to inform the design and testing of therapeutics, (2) SNVs that may impact the sensitivity of commonly used diagnostic primers, and (3) the emergence of a dominant lineage harboring an S477N RBD mutation in Australia in 2020. To accelerate COVID-19 efforts, COVID-19 CG will be upgraded with new features for users to rapidly pinpoint mutations as the virus evolves throughout the pandemic and in response to therapeutic and public health interventions.

Details

Language :
English
ISSN :
2050084X
Volume :
10
Database :
Directory of Open Access Journals
Journal :
eLife
Publication Type :
Academic Journal
Accession number :
edsdoj.f8b45e6a3ba2432e9b2e20a965f8edcd
Document Type :
article
Full Text :
https://doi.org/10.7554/eLife.63409