大规模基因组分析揭示了严重急性呼吸系统综合征冠状病毒2型的突变特征和进化趋势。

IF 4.5 Q1 MICROBIOLOGY mLife Pub Date : 2022-09-01 Epub Date: 2022-09-26 DOI:10.1002/mlf2.12040
Yamin Sun, Min Wang, Wenchao Lin, Wei Dong, Jianguo Xu
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引用次数: 0

摘要

严重急性呼吸系统综合征冠状病毒2型大流行造成了巨大的社会成本。因此,深入了解SARS-CoV-2病毒变异及其进化将有助于确定新冠肺炎大流行的方向。在这项研究中,我们在超过2800000个高质量的严重急性呼吸系统综合征冠状病毒2型基因组中鉴定了296728个新突变。分析了影响严重急性呼吸系统综合征冠状病毒2型在人类宿主中突变频率的所有可能因素,包括锌指抗病毒蛋白、序列背景、氨基酸变化和翻译效率。因此,我们提出当腺嘌呤(a)和酪氨酸(T)碱基在AM(M代表腺嘌呤或胞嘧啶)或TA基序的上下文中时,a或T碱基具有较低的突变频率。此外,我们假设翻译效率可以通过选择影响密码子第三位的突变频率,这解释了为什么严重急性呼吸系统综合征冠状病毒2型更喜欢使用AT3密码子。此外,我们在严重急性呼吸系统综合征冠状病毒2型基因组中发现了一种宿主特异性不对称二核苷酸突变频率,这为确定严重急性呼吸系冠状病毒2型的起源提供了新的依据。最后,我们总结了影响突变频率的所有可能因素,并深入了解了严重急性呼吸系统综合征冠状病毒2型的突变特征和进化趋势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Massive-scale genomic analysis reveals SARS-CoV-2 mutation characteristics and evolutionary trends.

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic resulted in significant societal costs. Hence, an in-depth understanding of SARS-CoV-2 virus mutation and its evolution will help determine the direction of the COVID-19 pandemic. In this study, we identified 296,728 de novo mutations in more than 2,800,000 high-quality SARS-CoV-2 genomes. All possible factors affecting the mutation frequency of SARS-CoV-2 in human hosts were analyzed, including zinc finger antiviral proteins, sequence context, amino acid change, and translation efficiency. As a result, we proposed that when adenine (A) and tyrosine (T) bases are in the context of AM (M stands for adenine or cytosine) or TA motif, A or T base has lower mutation frequency. Furthermore, we hypothesized that translation efficiency can affect the mutation frequency of the third position of the codon by the selection, which explains why SARS-CoV-2 prefers AT3 codons usage. In addition, we found a host-specific asymmetric dinucleotide mutation frequency in the SARS-CoV-2 genome, which provides a new basis for determining the origin of the SARS-CoV-2. Finally, we summarize all possible factors affecting mutation frequency and provide insights into the mutation characteristics and evolutionary trends of SARS-CoV-2.

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