Yamin Sun , Min Wang , Wenchao Lin , Wei Dong , Jianguo Xu
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This information is valuable for SARS-CoV-2 research on gene function, vaccine design, and drug development. Through association analysis of DNMs and viral transmission rates, we identified 185 DNMs that positively correlated with the SARS-CoV-2 transmission rate, and these DNMs where classified as the “mutation whitelist” of SARS-CoV-2. The mutations on the “mutation whitelist” are beneficial for SARS-CoV-2 transmission and could therefore be used to evaluate the transmissibility of new variants. The occurrence of mutations and the evolution of viruses are dynamic processes. To more effectively monitor the mutations and variants of SARS-CoV-2, we built a SARS-CoV-2 mutation and variant<!--> <!-->monitoring and pre-warning system (MVMPS), which can monitor the occurrence and development of mutations and variants of SARS-CoV-2, as well as provide pre-warning for the prevention and control of SARS-CoV-2 (<span>https://www.omicx.cn/</span><svg><path></path></svg>). 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引用次数: 3
摘要
在过去的两年里,世界各地的科学家已经完成了600多万个SARS-CoV-2基因组序列。今天,SARS-CoV-2基因组的数量超过了所有其他病毒基因组的总数。这些基因组记录了SARS-CoV-2在人类宿主中的进化,并提供了有关突变出现的信息。在本研究中,对这些测序基因组的分析鉴定出296,728个de novo mutations (dnm),并发现6种碱基替换在测序基因组群体中达到饱和。在此基础上,编制了SARS-CoV-2的“突变黑名单”。“突变黑名单”上的基因座是高度保守的,这些突变可能对病毒的存活、复制和传播有不利影响。这些信息对SARS-CoV-2基因功能研究、疫苗设计和药物开发具有重要价值。通过dnm与病毒传播率的关联分析,我们确定了185个与SARS-CoV-2传播率正相关的dnm,并将这些dnm归类为SARS-CoV-2的“突变白名单”。“突变白名单”上的突变有利于SARS-CoV-2的传播,因此可用于评估新变体的传播性。病毒突变的发生和进化是一个动态的过程。为了更有效地监测SARS-CoV-2的突变和变异,我们建立了SARS-CoV-2突变和变异监测预警系统(MVMPS),可以监测SARS-CoV-2突变和变异的发生和发展,并为SARS-CoV-2的预防和控制提供预警(https://www.omicx.cn/)。该系统可实时更新SARS-CoV-2的“突变白名单”和“突变黑名单”。
“Mutation blacklist” and “mutation whitelist” of SARS-CoV-2
Over the past two years, scientists throughout the world have completed more than 6 million SARS-CoV-2 genome sequences. Today, the number of SARS-CoV-2 genomes exceeds the total number of all other viral genomes. These genomes are a record of the evolution of SARS-CoV-2 in the human host, and provide information on the emergence of mutations. In this study, analysis of these sequenced genomes identified 296,728 de novo mutations (DNMs), and found that six types of base substitutions reached saturation in the sequenced genome population. Based on this analysis, a “mutation blacklist” of SARS-CoV-2 was compiled. The loci on the “mutation blacklist” are highly conserved, and these mutations likely have detrimental effects on virus survival, replication, and transmission. This information is valuable for SARS-CoV-2 research on gene function, vaccine design, and drug development. Through association analysis of DNMs and viral transmission rates, we identified 185 DNMs that positively correlated with the SARS-CoV-2 transmission rate, and these DNMs where classified as the “mutation whitelist” of SARS-CoV-2. The mutations on the “mutation whitelist” are beneficial for SARS-CoV-2 transmission and could therefore be used to evaluate the transmissibility of new variants. The occurrence of mutations and the evolution of viruses are dynamic processes. To more effectively monitor the mutations and variants of SARS-CoV-2, we built a SARS-CoV-2 mutation and variant monitoring and pre-warning system (MVMPS), which can monitor the occurrence and development of mutations and variants of SARS-CoV-2, as well as provide pre-warning for the prevention and control of SARS-CoV-2 (https://www.omicx.cn/). Additionally, this system could be used in real-time to update the “mutation whitelist” and “mutation blacklist” of SARS-CoV-2.