• FluTrackers.com Inc. does not provide medical advice. Information on this web site is collected from various internet resources, and the FluTrackers board of directors makes no warranty to the safety, efficacy, correctness or completeness of the information posted on this site by any author or poster. The information collated here is for instructional and/or discussion purposes only and is NOT intended to diagnose or treat any disease, illness, or other medical condition. Every individual reader or poster should seek advice from their personal physician/healthcare practitioner before considering or using any interventions that are discussed on this website. By continuing to access this website you agree to consult your personal physican before using any interventions posted on this website, and you agree to hold harmless FluTrackers.com Inc., the board of directors, the members, and all authors and posters for any effects from use of any medication, supplement, vitamin or other substance, device, intervention, etc. mentioned in posts on this website, or other internet venues referenced in posts on this website.
  • We are not asking for any donations. Do not donate to any entity who says they are raising funds for us.

Proc Natl Acad Sci U S A . Analysis of genomic distributions of SARS-CoV-2 reveals a dominant strain type with strong allelic associations

tetano

Editor, Senior Moderator
Proc Natl Acad Sci U S A


. 2020 Nov 12;202007840.
doi: 10.1073/pnas.2007840117. Online ahead of print.
Analysis of genomic distributions of SARS-CoV-2 reveals a dominant strain type with strong allelic associations


Hsin-Chou Yang[SUP] 1 [/SUP], Chun-Houh Chen[SUP] 2 [/SUP], Jen-Hung Wang[SUP] 2 [/SUP], Hsiao-Chi Liao[SUP] 2 [/SUP], Chih-Ting Yang[SUP] 2 [/SUP], Chia-Wei Chen[SUP] 2 [/SUP], Yin-Chun Lin[SUP] 2 [/SUP], Chiun-How Kao[SUP] 2 3 [/SUP], Mei-Yeh Jade Lu[SUP] 4 [/SUP], James C Liao[SUP] 5 [/SUP]



Affiliations

Abstract

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the causal agent of COVID 19, continues to evolve since its first emergence in December 2019. Using the complete sequences of 1,932 SARS-CoV-2 genomes, various clustering analyses consistently identified six types of the strains. Independent of the dendrogram construction, 13 signature variations in the form of single nucleotide variations (SNVs) in protein coding regions and one SNV in the 5' untranslated region (UTR) were identified and provided a direct interpretation for the six types (types I to VI). The six types of the strains and their underlying signature SNVs were validated in two subsequent analyses of 6,228 and 38,248 SARS-CoV-2 genomes which became available later. To date, type VI, characterized by the four signature SNVs C241T (5'UTR), C3037T (nsp3 F924F), C14408T (nsp12 P4715L), and A23403G (Spike D614G), with strong allelic associations, has become the dominant type. Since C241T is in the 5' UTR with uncertain significance and the characteristics can be captured by the other three strongly associated SNVs, we focus on the other three. The increasing frequency of the type VI haplotype 3037T-14408T-23403G in the majority of the submitted samples in various countries suggests a possible fitness gain conferred by the type VI signature SNVs. The fact that strains missing one or two of these signature SNVs fail to persist implies possible interactions among these SNVs. Later SNVs such as G28881A, G28882A, and G28883C have emerged with strong allelic associations, forming new subtypes. This study suggests that SNVs may become an important consideration in SARS-CoV-2 classification and surveillance.

Keywords: COVID-19; allelic association; mutation; sequencing; single nucleotide variation.
 
Back
Top Bottom