Beijing Institute of Genomics, Chinese Academy of Sciences, and China National Center for Bioinformation, Beijing, China.
University of Chinese Academy of Sciences, Beijing, China.
Nat Ecol Evol. 2023 Sep;7(9):1457-1466. doi: 10.1038/s41559-023-02123-8. Epub 2023 Jul 13.
Mutations in the SARS-CoV-2 genome could confer resistance to pre-existing antibodies and/or increased transmissibility. The recently emerged Omicron subvariants exhibit a strong tendency for immune evasion, suggesting adaptive evolution. However, because previous studies have been limited to specific lineages or subsets of mutations, the overall evolutionary trajectory of SARS-CoV-2 and the underlying driving forces are still not fully understood. Here we analysed all open-access SARS-CoV-2 genomes (up to November 2022) and correlated the mutation incidence and fitness changes with the impacts of mutations on immune evasion and ACE2 binding affinity. Our results show that the Omicron lineage had an accelerated mutation rate in the RBD region, while the mutation incidence in other genomic regions did not change dramatically over time. Mutations in the RBD region exhibited a lineage-specific pattern and tended to become more aggregated over time, and the mutation incidence was positively correlated with the strength of antibody pressure. Additionally, mutation incidence was positively correlated with changes in ACE2 binding affinity, but with a lower correlation coefficient than with immune evasion. In contrast, the effect of mutations on fitness was more closely correlated with changes in ACE2 binding affinity than with immune evasion. Our findings suggest that immune evasion and ACE2 binding affinity play significant and diverse roles in the evolution of SARS-CoV-2.
SARS-CoV-2 基因组中的突变可能导致对先前存在的抗体的抗性和/或增加的传染性。最近出现的奥密克戎亚变体表现出强烈的免疫逃避倾向,表明适应性进化。然而,由于以前的研究仅限于特定的谱系或突变亚群,SARS-CoV-2 的总体进化轨迹和潜在的驱动因素仍不完全清楚。在这里,我们分析了所有开放获取的 SARS-CoV-2 基因组(截至 2022 年 11 月),并将突变发生率和适应性变化与突变对免疫逃避和 ACE2 结合亲和力的影响相关联。我们的结果表明,奥密克戎谱系在 RBD 区域的突变率加快,而其他基因组区域的突变发生率随时间变化没有显著变化。RBD 区域的突变表现出线粒体特异性模式,并且随着时间的推移趋于更加聚集,突变发生率与抗体压力的强度呈正相关。此外,突变发生率与 ACE2 结合亲和力的变化呈正相关,但与免疫逃避的相关性系数较低。相比之下,突变对适应性的影响与 ACE2 结合亲和力的变化比与免疫逃避的相关性更密切。我们的研究结果表明,免疫逃避和 ACE2 结合亲和力在 SARS-CoV-2 的进化中起着重要且多样化的作用。