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通过比较44种Sarbecovirus基因组分析严重急性呼吸综合征冠状病毒2(SARS-CoV-2)的基因含量及2019冠状病毒病(COVID-19)的突变影响

SARS-CoV-2 gene content and COVID-19 mutation impact by comparing 44 Sarbecovirus genomes.

作者信息

Jungreis Irwin, Sealfon Rachel, Kellis Manolis

机构信息

MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA.

Broad Institute of MIT and Harvard, Cambridge, MA.

出版信息

bioRxiv. 2020 Sep 2:2020.06.02.130955. doi: 10.1101/2020.06.02.130955.

Abstract

Despite its overwhelming clinical importance, the SARS-CoV-2 gene set remains unresolved, hindering dissection of COVID-19 biology. Here, we use comparative genomics to provide a high-confidence protein-coding gene set, characterize protein-level and nucleotide-level evolutionary constraint, and prioritize functional mutations from the ongoing COVID-19 pandemic. We select 44 complete Sarbecovirus genomes at evolutionary distances ideally-suited for protein-coding and non-coding element identification, create whole-genome alignments, and quantify protein-coding evolutionary signatures and overlapping constraint. We find strong protein-coding signatures for all named genes and for 3a, 6, 7a, 7b, 8, 9b, and also ORF3c, a novel alternate-frame gene. By contrast, ORF10, and overlapping-ORFs 9c, 3b, and 3d lack protein-coding signatures or convincing experimental evidence and are not protein-coding. Furthermore, we show no other protein-coding genes remain to be discovered. Cross-strain and within-strain evolutionary pressures largely agree at the gene, amino-acid, and nucleotide levels, with some notable exceptions, including fewer-than-expected mutations in nsp3 and Spike subunit S1, and more-than-expected mutations in Nucleocapsid. The latter also shows a cluster of amino-acid-changing variants in otherwise-conserved residues in a predicted B-cell epitope, which may indicate positive selection for immune avoidance. Several Spike-protein mutations, including D614G, which has been associated with increased transmission, disrupt otherwise-perfectly-conserved amino acids, and could be novel adaptations to human hosts. The resulting high-confidence gene set and evolutionary-history annotations provide valuable resources and insights on COVID-19 biology, mutations, and evolution.

摘要

尽管严重急性呼吸综合征冠状病毒2(SARS-CoV-2)的基因组具有极其重要的临床意义,但其基因集仍未明确,这阻碍了对2019冠状病毒病(COVID-19)生物学特性的剖析。在此,我们利用比较基因组学来提供一个高可信度的蛋白质编码基因集,表征蛋白质水平和核苷酸水平的进化限制,并对正在肆虐的COVID-19大流行中的功能性突变进行优先级排序。我们选择了44个进化距离理想的完整Sarbecovirus属基因组,以用于蛋白质编码和非编码元件的识别,创建全基因组比对,并量化蛋白质编码的进化特征和重叠限制。我们发现所有已命名基因以及3a、6、7a、7b、8、9b还有一个新的可变阅读框基因ORF3c都有很强的蛋白质编码特征。相比之下,ORF10以及重叠阅读框9c、3b和3d缺乏蛋白质编码特征或令人信服的实验证据,并非蛋白质编码基因。此外,我们表明没有其他蛋白质编码基因有待发现。跨毒株和毒株内的进化压力在基因、氨基酸和核苷酸水平上基本一致,但也有一些显著例外,包括非结构蛋白3(nsp3)和刺突蛋白亚基S1中的突变少于预期,而核衣壳蛋白中的突变多于预期。后者在预测的B细胞表位中其他保守残基处还显示出一组氨基酸变化的变体,这可能表明存在免疫逃避的正选择。包括与传播增加有关的D614G在内的几个刺突蛋白突变破坏了原本完全保守的氨基酸,可能是对人类宿主的新适应。由此产生的高可信度基因集和进化历史注释为COVID-19的生物学特性(包括突变和进化)提供了宝贵的资源和见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a031/7478346/93e7d3bc390c/nihpp-2020.06.02.130955-f0006.jpg

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