Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Medical College, Tongji Hospital, Huazhong University of Science and Technology, Wuhan 430030, China; Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Shenzhen Hospital, Shenzhen, Guangdong 518036, China.
Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Medical College, Tongji Hospital, Huazhong University of Science and Technology, Wuhan 430030, China; Department of Gynecologic Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
Infect Genet Evol. 2021 Aug;92:104831. doi: 10.1016/j.meegid.2021.104831. Epub 2021 Mar 31.
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.
由于严重急性呼吸综合征冠状病毒 2(SARS-CoV-2)以惊人的速度在全球范围内引发大流行,因此全面分析早期 SARS-CoV-2 株的突变和进化有助于发现和预防这种病毒。在这里,我们研究了 2020 年 4 月之前来自 42 个国家的 1962 株早期 SARS-CoV-2 高质量基因组。随后确定了 SARS-CoV-2 株随时间和国家变化的遗传变异趋势。此外,还进行了病毒基因型映射和系统发育分析,以确定 SARS-CoV-2 的变异特征。结果表明,ORF1ab 中的遗传变异有 57.89%涉及,其中大多数(68.85%)为非同义突变。单倍型图谱和系统发育树分析表明,ORF1ab 中的氨基酸变异(p.5828P>L 和 p.5865Y>C,以及 NSP13:P504L 和 NSP13:Y541C)是该分支的重要特征。此外,这些变体在美国(P=2.92E-66,95%)的聚集程度比在澳大利亚或加拿大更为明显,尤其是在华盛顿州的毒株中(P=1.56E-23,77.65%)。进一步分析表明,变异的报告日期与美国感染增加、恢复和死亡率变化的日期有关。更重要的是,华盛顿州的死亡率较高(4.13%),且预后较差(死亡率 P=4.12E-21,死亡和康复病例 P=3.64E-29),高于其他包含少量此类变体毒株的州。通过序列比对,我们发现 504 和 541 位点的变异对 NSP13 具有功能影响。本研究全面分析了 SARS-CoV-2 的遗传变异,深入了解了 ORF1ab 的氨基酸变异与 COVID-19 结局的关系。