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Comprehensive evolution and molecular characteristics of a large number of SARS-CoV-2 genomes reveal its epidemic trends.
Bai, Yunmeng; Jiang, Dawei; Lon, Jerome R; Chen, Xiaoshi; Hu, Meiling; Lin, Shudai; Chen, Zixi; Wang, Xiaoning; Meng, Yuhuan; Du, Hongli.
  • Bai Y; School of Biology and Biological Engineering, South China University of Technology, Guangzhou, China.
  • Jiang D; School of Biology and Biological Engineering, South China University of Technology, Guangzhou, China.
  • Lon JR; School of Biology and Biological Engineering, South China University of Technology, Guangzhou, China.
  • Chen X; School of Biology and Biological Engineering, South China University of Technology, Guangzhou, China.
  • Hu M; School of Biology and Biological Engineering, South China University of Technology, Guangzhou, China.
  • Lin S; School of Biology and Biological Engineering, South China University of Technology, Guangzhou, China.
  • Chen Z; School of Biology and Biological Engineering, South China University of Technology, Guangzhou, China.
  • Wang X; School of Biology and Biological Engineering, South China University of Technology, Guangzhou, China; State Clinic Center of Gearitic, Chinese PLA General Hospital, Beijing, China.
  • Meng Y; Guangzhou KingMed Transformative Medicine Institute Co., Ltd, Guangzhou, China. Electronic address: zb-mengyuhuan@kingmed.com.cn.
  • Du H; School of Biology and Biological Engineering, South China University of Technology, Guangzhou, China. Electronic address: hldu@scut.edu.cn.
Int J Infect Dis ; 100: 164-173, 2020 Nov.
Article in English | MEDLINE | ID: covidwho-943165
ABSTRACT

OBJECTIVES:

To further reveal the phylogenetic evolution and molecular characteristics of the whole genome of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) based on a large number of genomes and provide a basis for the prevention and treatment of SARS-CoV-2.

METHODS:

Various evolution analysis methods were employed.

RESULTS:

The estimated ratio of the rates of non-synonymous to synonymous changes (Ka/Ks) of SARS-CoV-2 was 1.008 or 1.094 based on 622 or 3624 SARS-CoV-2 genomes and nine key specific sites of high linkage, and four major haplotypes were found H1, H2, H3 and H4. The results of Ka/Ks, detected population size and development trends of each major haplotype showed that H3 and H4 subgroups were going through a purify evolution and almost disappeared after detection, indicating that they might have existed for a long time. The H1 and H2 subgroups were going through a near neutral or neutral evolution and globally increased with time, and the frequency of H1 was generally high in Europe and correlated with the death rate (r >0.37), suggesting that these two haplotypes might relate to the infectivity or pathogenicity of SARS-CoV-2.

CONCLUSIONS:

Several key specific sites and haplotypes related to the infectivity or pathogenicity of SARS-CoV-2, and the possible earlier origin time and place of SARS-CoV-2 were indicated based on the evolution and epidemiology of 16,373 SARS-CoV-2 genomes.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Genome, Viral / SARS-CoV-2 / COVID-19 Type of study: Observational study / Randomized controlled trials Limits: Humans Country/Region as subject: Europa Language: English Journal: Int J Infect Dis Journal subject: Communicable Diseases Year: 2020 Document Type: Article Affiliation country: J.ijid.2020.08.066

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Genome, Viral / SARS-CoV-2 / COVID-19 Type of study: Observational study / Randomized controlled trials Limits: Humans Country/Region as subject: Europa Language: English Journal: Int J Infect Dis Journal subject: Communicable Diseases Year: 2020 Document Type: Article Affiliation country: J.ijid.2020.08.066