高级检索
庄丽, 柯倩, 郑菊, 吴萍, 蒋维佳. 2020 — 2023年贵州省新型冠状病毒基因进化特征分析[J]. 中国公共卫生, 2024, 40(5): 609-614. DOI: 10.11847/zgggws1144015
引用本文: 庄丽, 柯倩, 郑菊, 吴萍, 蒋维佳. 2020 — 2023年贵州省新型冠状病毒基因进化特征分析[J]. 中国公共卫生, 2024, 40(5): 609-614. DOI: 10.11847/zgggws1144015
ZHUANG Li, KE Qian, ZHENG Ju, WU Ping, JIANG Weijia. Genomic characteristics of predominant SARS-CoV-2 variants in Guizhou province from 2020 to 2023: a whole genome sequencing analysis of respiratory tract specimens[J]. Chinese Journal of Public Health, 2024, 40(5): 609-614. DOI: 10.11847/zgggws1144015
Citation: ZHUANG Li, KE Qian, ZHENG Ju, WU Ping, JIANG Weijia. Genomic characteristics of predominant SARS-CoV-2 variants in Guizhou province from 2020 to 2023: a whole genome sequencing analysis of respiratory tract specimens[J]. Chinese Journal of Public Health, 2024, 40(5): 609-614. DOI: 10.11847/zgggws1144015

2020 — 2023年贵州省新型冠状病毒基因进化特征分析

Genomic characteristics of predominant SARS-CoV-2 variants in Guizhou province from 2020 to 2023: a whole genome sequencing analysis of respiratory tract specimens

  • 摘要:
    目的 了解贵州省2020 — 2023年新型冠状病毒(SARS-CoV-2)基因组特征,明确其基因变异规律及关键氨基酸位点突变导致的易感性变化。
    方法 收集贵州省2020 — 2023年SARS-CoV-2感染阳性患者口咽拭子和鼻咽拭子样本316份。使用高通量测序技术进行病毒全基因组扩增和测序。通过Nextclade在线数据分析平台对下机数据进行分析,判定病毒型别与进化分支,分析其关键氨基酸位点的变异情况及遗传进化特征。
    结果  成功获取259株新冠病毒全基因组序列,共计59种进化分支。前期(2020年1 — 8月)病毒进化程度较为有限,主要为原始新冠毒株(Pango分型为B.1);第2阶段(2020年9月 — 2021年12月)主要以德尔塔(Delta)变异株(3个进化分支)为主,包含36~39个氨基酸变异,其中S蛋白约8~10个氨基酸突变位点;第3阶段(2022年1月 — 2023年12月)主要以奥密克戎(Omicron)变异株(56个进化分支)为主,约包含47~66个氨基酸变异,其中S蛋白约28~42个氨基酸突变位点。整体占比前3位的分别为:奥密克戎XBB重组体及其亚分支、奥密克戎BA.5.2及其亚分支、奥密克戎BF.7变异株。
    结论  2020 — 2023年贵州省SARS-CoV-2感染早期阶段发生的突变具有较高的血管紧张素转化酶2(ACE2)结合亲和力及部分免疫逃逸能力,后期发生的突变则表现出更高的免疫逃逸能力,导致全人群免疫鸿沟逐渐增加。

     

    Abstract:
    Objective To understand the genomic characteristics of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) circulating in Guizhou province from 2020 to 2023, and to elucidate its genetic variation and susceptibility changes caused by mutations in key amino acid sites.
    Methods A total of 316 SARS-CoV-2 positive oropharyngeal and nasopharyngeal swabs were collected in Guizhou province from 2020 to 2023. High-throughput sequencing technology was used for viral genome amplification and sequencing. The offline data were analyzed by Nextclade online data analysis platform to determine the virus type and evolutionary branch, and to analyze the variation of key amino acid sites and genetic evolution characteristics.
    Results The complete genome sequence of 259 SARS-CoV-2 strains was successfully obtained, including 59 evolutionary branches. During the first episode (January – August 2020) of coronavirus disease 2019 (COVID-19), the degree of evolution of the virus was relatively limited, and it was mainly the original SARS-CoV-2 strain (Pango type B.1); the second episode of the COVID-19 epidemic (from September 2020 to December 2021) was dominated by the Delta mutant (three evolutionary branches), which contains 36 – 39 amino acid mutations, including about 8 – 10 amino acid mutations in the spike (S) protein; the third episode of the epidemic (from January 2022 to December 2023) was dominated by the Omicron mutant (56 evolutionary branches), which contains about 47 – 66 amino acid mutations, including about 28 – 42 amino acid mutations in the S protein. The top three predominant SARS-CoV-2 variants from 2020 to 2023 in the province were Omicron XBB recombinant and its sub branches, Omicron BA.5.2 and its sub branches, Omicron BF.7 mutant.
    Conclusion The virus mutations in the early stage of SARS-CoV-2 infection in Guizhou province from 2020 to 2023 showed higher binding affinity of angiotensin-converting enzyme 2 (ACE2) and partial immune escape ability, while the mutant viruses in the later stage showed higher immune escape ability, leading to an increasing immune gap in the whole population.

     

/

返回文章
返回