Ongoing Positive Selection Drives the Evolution of SARS-CoV-2 Genomes

IF 11.5 2区 生物学 Q1 GENETICS & HEREDITY Genomics, Proteomics & Bioinformatics Pub Date : 2022-12-01 DOI:10.1016/j.gpb.2022.05.009
Yali Hou , Shilei Zhao , Qi Liu , Xiaolong Zhang , Tong Sha , Yankai Su , Wenming Zhao , Yiming Bao , Yongbiao Xue , Hua Chen
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引用次数: 10

Abstract

SARS-CoV-2 is a new RNA virus affecting humans and spreads extensively throughout the world since its first outbreak in December, 2019. Whether the transmissibility and pathogenicity of SARS-CoV-2 in humans after zoonotic transfer are actively evolving, and driven by adaptation to the new host and environments is still under debate. Understanding the evolutionary mechanism underlying epidemiological and pathological characteristics of COVID-19 is essential for predicting the epidemic trend, and providing guidance for disease control and treatments. Interrogating novel strategies for identifying natural selection using within-species polymorphisms and 3,674,076 SARS-CoV-2 genome sequences of 169 countries as of December 30, 2021, we demonstrate with population genetic evidence that during the course of SARS-CoV-2 pandemic in humans, 1) SARS-CoV-2 genomes are overall conserved under purifying selection, especially for the 14 genes related to viral RNA replication, transcription, and assembly; 2) ongoing positive selection is actively driving the evolution of 6 genes (e.g., S, ORF3a, and N) that play critical roles in molecular processes involving pathogen–host interactions, including viral invasion into and egress from host cells, and viral inhibition and evasion of host immune response, possibly leading to high transmissibility and mild symptom in SARS-CoV-2 evolution. According to an established haplotype phylogenetic relationship of 138 viral clusters, a spatial and temporal landscape of 556 critical mutations is constructed based on their divergence among viral haplotype clusters or repeatedly increase in frequency within at least 2 clusters, of which multiple mutations potentially conferring alterations in viral transmissibility, pathogenicity, and virulence of SARS-CoV-2 are highlighted, warranting attention.

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持续的正选择驱动SARS-CoV-2基因组的进化
SARS-CoV-2是一种影响人类的新型RNA病毒,自2019年12月首次爆发以来,在全球广泛传播。SARS-CoV-2在人畜共患转移后在人类中的传播性和致病性是否在积极进化,并受到对新宿主和环境的适应的驱动,目前仍存在争议。了解新冠肺炎流行病学和病理学特征的演变机制,对预测疫情趋势,指导疾病控制和治疗具有重要意义。利用物种内多态性和截至2021年12月30日来自169个国家的3,674,076个SARS-CoV-2基因组序列,对识别自然选择的新策略进行了研究,我们用群体遗传证据证明,在SARS-CoV-2在人类中大流行的过程中,1)SARS-CoV-2基因组在纯化选择下总体上是保守的,特别是与病毒RNA复制、转录和组装相关的14个基因;2)持续的正选择正在积极推动6个基因(如S、ORF3a和N)的进化,这些基因在病原体与宿主相互作用的分子过程中发挥关键作用,包括病毒侵入和离开宿主细胞,以及病毒抑制和逃避宿主免疫反应,可能导致SARS-CoV-2进化的高传播性和轻度症状。根据已建立的138个病毒聚类的单倍型系统发育关系,构建了556个关键突变的时空格局,基于它们在病毒单倍型聚类之间的差异或在至少2个聚类中频率的反复增加,其中多个突变可能会改变SARS-CoV-2的病毒传播性、致病性和毒力,值得关注。
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来源期刊
Genomics, Proteomics & Bioinformatics
Genomics, Proteomics & Bioinformatics Biochemistry, Genetics and Molecular Biology-Biochemistry
CiteScore
14.30
自引率
4.20%
发文量
844
审稿时长
61 days
期刊介绍: Genomics, Proteomics and Bioinformatics (GPB) is the official journal of the Beijing Institute of Genomics, Chinese Academy of Sciences / China National Center for Bioinformation and Genetics Society of China. It aims to disseminate new developments in the field of omics and bioinformatics, publish high-quality discoveries quickly, and promote open access and online publication. GPB welcomes submissions in all areas of life science, biology, and biomedicine, with a focus on large data acquisition, analysis, and curation. Manuscripts covering omics and related bioinformatics topics are particularly encouraged. GPB is indexed/abstracted by PubMed/MEDLINE, PubMed Central, Scopus, BIOSIS Previews, Chemical Abstracts, CSCD, among others.
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