Literature DB >> 33184173

Analysis of genomic distributions of SARS-CoV-2 reveals a dominant strain type with strong allelic associations.

Hsin-Chou Yang1, Chun-Houh Chen2, Jen-Hung Wang2, Hsiao-Chi Liao2, Chih-Ting Yang2, Chia-Wei Chen2, Yin-Chun Lin2, Chiun-How Kao2,3, Mei-Yeh Jade Lu4, James C Liao5.   

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.
Copyright © 2020 the Author(s). Published by PNAS.

Entities:  

Keywords:  COVID-19; allelic association; mutation; sequencing; single nucleotide variation

Year:  2020        PMID: 33184173     DOI: 10.1073/pnas.2007840117

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  27 in total

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Authors:  Francisco Barona-Gómez; Luis Delaye; Erik Díaz-Valenzuela; Fabien Plisson; Arely Cruz-Pérez; Mauricio Díaz-Sánchez; Christian A García-Sepúlveda; Alejandro Sanchez-Flores; Rafael Pérez-Abreu; Francisco J Valencia-Valdespino; Natali Vega-Magaña; José Francisco Muñoz-Valle; Octavio Patricio García-González; Sofía Bernal-Silva; Andreu Comas-García; Angélica Cibrián-Jaramillo
Journal:  Microb Genom       Date:  2021-11

2.  COVID-19 Variant Surveillance and Social Determinants in Central Massachusetts: Development Study.

Authors:  Qiming Shi; Carly Herbert; Doyle V Ward; Karl Simin; Beth A McCormick; Richard T Ellison Iii; Adrian H Zai
Journal:  JMIR Form Res       Date:  2022-06-13

3.  Genomic surveillance of SARS-CoV-2 in patients presenting neurological manifestations.

Authors:  Anna Vicco; Francesca Caccuri; Serena Messali; Adriana Vitiello; Aron Emmi; Claudia Del Vecchio; Alberto Reale; Arnaldo Caruso; Giancarlo Ottaviano; Carla Mucignat; Cristina Parolin; Angelo Antonini; Arianna Calistri
Journal:  PLoS One       Date:  2022-06-30       Impact factor: 3.752

4.  The twin-beginnings of COVID-19 in Asia and Europe-one prevails quickly.

Authors:  Yongsen Ruan; Haijun Wen; Mei Hou; Ziwen He; Xuemei Lu; Yongbiao Xue; Xionglei He; Ya-Ping Zhang; Chung-I Wu
Journal:  Natl Sci Rev       Date:  2021-12-11       Impact factor: 23.178

5.  Learning vector quantization as an interpretable classifier for the detection of SARS-CoV-2 types based on their RNA sequences.

Authors:  Marika Kaden; Katrin Sophie Bohnsack; Mirko Weber; Mateusz Kudła; Kaja Gutowska; Jacek Blazewicz; Thomas Villmann
Journal:  Neural Comput Appl       Date:  2021-04-27       Impact factor: 5.606

6.  Genetic Diversity of SARS-CoV-2 over a One-Year Period of the COVID-19 Pandemic: A Global Perspective.

Authors:  Miao Miao; Erik De Clercq; Guangdi Li
Journal:  Biomedicines       Date:  2021-04-11

7.  A novel cell culture system modeling the SARS-CoV-2 life cycle.

Authors:  Xiaohui Ju; Yunkai Zhu; Yuyan Wang; Jingrui Li; Jiaxing Zhang; Mingli Gong; Wenlin Ren; Sai Li; Jin Zhong; Linqi Zhang; Qiangfeng Cliff Zhang; Rong Zhang; Qiang Ding
Journal:  PLoS Pathog       Date:  2021-03-12       Impact factor: 6.823

8.  Comparison of Immunological Profiles of SARS-CoV-2 Variants in the COVID-19 Pandemic Trends: An Immunoinformatics Approach.

Authors:  Jenifer Mallavarpu Ambrose; Vishnu Priya Veeraraghavan; Malathi Kullappan; Poongodi Chellapandiyan; Surapaneni Krishna Mohan; Vivek Anand Manivel
Journal:  Antibiotics (Basel)       Date:  2021-05-06

Review 9.  SARS-CoV-2 one year on: evidence for ongoing viral adaptation.

Authors:  Thomas P Peacock; Rebekah Penrice-Randal; Julian A Hiscox; Wendy S Barclay
Journal:  J Gen Virol       Date:  2021-04       Impact factor: 3.891

10.  Structural phylogenetic analysis reveals lineage-specific RNA repetitive structural motifs in all coronaviruses and associated variations in SARS-CoV-2.

Authors:  Shih-Cheng Chen; René C L Olsthoorn; Chien-Hung Yu
Journal:  Virus Evol       Date:  2021-06-16
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