Molecular epidemiology analysis of early variants of SARS-CoV-2 reveals the potential impact of mutations P504L and Y541C (NSP13) in the clinical COVID-19 outcomes
Since severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused global pandemic with alarming speed, comprehensively analyzing the mutation and evolution of early SARS-CoV-2 strains contributes to detect and prevent such virus. Here, we explored 1962 high-quality genomes of early SARS-CoV-2 strains obtained from 42 countries before April 2020. The changing trends of genetic variations in SARS-CoV-2 strains over time and country were subsequently identified. In addition, viral genotype mapping and phylogenetic analysis were performed to identify the variation features of SARS-CoV-2. Results showed that 57.89% of genetic variations involved in ORF1ab, most of which (68.85%) were nonsynonymous. Haplotype maps and phylogenetic tree analysis showed that amino acid variations in ORF1ab (p.5828P > L and p.5865Y > C, also NSP13: P504L and NSP13: Y541C) were the important characteristics of such clade. Furthermore, these variants showed more significant aggregation in the United States (P = 2.92E-66, 95%) than in Australia or Canada, especially in strains from Washington State (P = 1.56E-23, 77.65%). Further analysis demonstrated that the report date of the variants was associated with the date of increased infections and the date of recovery and fatality rate change in the United States. More importantly, the fatality rate in Washington State was higher (4.13%) and showed poorer outcomes (P = 4.12E-21 in fatality rate, P = 3.64E-29 in death and recovered cases) than found in other states containing a small proportion of strains with such variants. Using sequence alignment, we found that variations at the 504 and 541 sites had functional effects on NSP13. In this study, we comprehensively analyzed genetic variations in SARS-CoV-2, gaining insights into amino acid variations in ORF1ab and COVID-19 outcomes.
基金:
Research Oriented Clinician Funding Program of Tongji Medical College, Huazhong University of Science and Technology
第一作者单位:[1]Huazhong Univ Sci & Technol,Tongji Hosp,Tongji Med Coll,Canc Biol Res Ctr,Key Lab,Minist Educ,Wuhan 430030,Peoples R China[2]Peking Univ, Shenzhen Hosp, Dept Obstet & Gynecol, Ctr Reprod Med, Shenzhen 518036, Guangdong, Peoples R China
通讯作者:
通讯机构:[1]Huazhong Univ Sci & Technol,Tongji Hosp,Tongji Med Coll,Canc Biol Res Ctr,Key Lab,Minist Educ,Wuhan 430030,Peoples R China[3]Huazhong Univ Sci & Technol,Tongji Med Coll,Tongji Hosp,Dept Gynecol Oncol,Wuhan 430030,Peoples R China
推荐引用方式(GB/T 7714):
Cao Canhui,He Liang,Tian Yuan,et al.Molecular epidemiology analysis of early variants of SARS-CoV-2 reveals the potential impact of mutations P504L and Y541C (NSP13) in the clinical COVID-19 outcomes[J].INFECTION GENETICS AND EVOLUTION.2021,92:doi:10.1016/j.meegid.2021.104831.
APA:
Cao, Canhui,He, Liang,Tian, Yuan,Qin, Yu,Sun, Haiyin...&Wu, Peng.(2021).Molecular epidemiology analysis of early variants of SARS-CoV-2 reveals the potential impact of mutations P504L and Y541C (NSP13) in the clinical COVID-19 outcomes.INFECTION GENETICS AND EVOLUTION,92,
MLA:
Cao, Canhui,et al."Molecular epidemiology analysis of early variants of SARS-CoV-2 reveals the potential impact of mutations P504L and Y541C (NSP13) in the clinical COVID-19 outcomes".INFECTION GENETICS AND EVOLUTION 92.(2021)