The Second Institute of Clinical Medicine, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.
Qingdao Mental Health Center, Qingdao, Shandong, China.
Front Cell Infect Microbiol. 2024 Oct 9;14:1476605. doi: 10.3389/fcimb.2024.1476605. eCollection 2024.
Rampant C-to-U RNA editing drives the mutation and evolution of SARS-CoV-2. While much attention has been paid to missense mutations, the C-to-U events leading to AUG and thus creating novel ORFs were uninvestigated. By utilizing the public time-course mutation data from the worldwide SARS-CoV-2 population, we systematically identified the "AUG-gain mutations" caused by C-to-U RNA editing. Synonymous mutations were of special focus. A total of 58 synonymous C-to-U sites are able to create out-of-frame AUG in coding sequence (CDS). These 58 synonymous sites showed significantly higher allele frequency (AF) and increasing rate (AF/t) than other C-to-U synonymous sites in the SARS-CoV-2 population, suggesting that these 58 AUG-gain events conferred additional benefits to the virus and are subjected to positive selection. The 58 predicted new ORFs created by AUG-gain events showed the following advantages compared to random expectation: they have longer lengths, higher codon adaptation index (CAI), higher Kozak scores, and higher tRNA adaptation index (tAI). The 58 putatively novel ORFs have high expressibility and are very likely to be functional, providing an explanation for the positive selection on the 58 AUG-gain mutations. Our study proposed a possible mechanism of the emergence of genes in SARS-CoV-2. This idea should be helpful in studying the mutation and evolution of SARS-CoV-2.
猖獗的 C 到 U RNA 编辑驱动 SARS-CoV-2 的突变和进化。虽然人们对错义突变给予了很多关注,但导致 AUG 从而产生新的开放阅读框的 C 到 U 事件尚未得到研究。通过利用来自全球 SARS-CoV-2 人群的公开时程突变数据,我们系统地鉴定了由 C 到 U RNA 编辑引起的“AUG 增益突变”。同义突变是特别关注的焦点。总共 58 个同义 C 到 U 位点能够在编码序列 (CDS) 中产生无义 AUG。这些 58 个同义位点的等位基因频率 (AF) 和增加率 (AF/t) 明显高于 SARS-CoV-2 群体中其他 C 到 U 同义位点,表明这些 58 个 AUG 增益事件赋予了病毒额外的优势,并且受到正选择的影响。由 AUG 增益事件产生的 58 个预测新的开放阅读框与随机预期相比具有以下优势:它们的长度更长、密码子适应指数 (CAI) 更高、Kozak 评分更高、以及 tRNA 适应指数 (tAI) 更高。这 58 个推测的新开放阅读框具有高表达能力,很可能具有功能,为 58 个 AUG 增益突变的正选择提供了一个解释。我们的研究提出了 SARS-CoV-2 中基因出现的一种可能机制。这个想法对于研究 SARS-CoV-2 的突变和进化应该是有帮助的。