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SARS-CoV-2 突变特征、刺突蛋白稳定性和病毒传播特性。

Characterizations of SARS-CoV-2 mutational profile, spike protein stability and viral transmission.

机构信息

Human Genetics Unit, Indian Statistical Institute, 203 B T Road, Kolkata 700 108, India.

Biophysics and Structural Genomics Division, Saha Institute of Nuclear Physics (HBNI), 1/AF Bidhannagar, Kolkata 700 064, India.

出版信息

Infect Genet Evol. 2020 Nov;85:104445. doi: 10.1016/j.meegid.2020.104445. Epub 2020 Jun 30.

Abstract

The recent pandemic of SARS-CoV-2 infection has affected more than 3.0 million people worldwide with more than 200 thousand reported deaths. The SARS-CoV-2 genome has the capability of gaining rapid mutations as the virus spreads. Whole-genome sequencing data offers a wide range of opportunities to study mutation dynamics. The advantage of an increasing amount of whole-genome sequence data of SARS-CoV-2 intrigued us to explore the mutation profile across the genome, to check the genome diversity, and to investigate the implications of those mutations in protein stability and viral transmission. We have identified frequently mutated residues by aligning ~660 SARS-CoV-2 genomes and validated in 10,000 datasets available in GISAID Nextstrain. We further evaluated the potential of these frequently mutated residues in protein structure stability of spike glycoprotein and their possible functional consequences in other proteins. Among the 11 genes, surface glycoprotein, nucleocapsid, ORF1ab, and ORF8 showed frequent mutations, while envelop, membrane, ORF6, ORF7a and ORF7b showed conservation in terms of amino acid substitutions. Combined analysis with the frequently mutated residues identified 20 viral variants, among which 12 specific combinations comprised more than 97% of the isolates considered for the analysis. Some of the mutations across different proteins showed co-occurrences, suggesting their structural and/or functional interaction among different SARS-COV-2 proteins, and their involvement in adaptability and viral transmission. Analysis of protein structure stability of surface glycoprotein mutants indicated the viability of specific variants and are more prone to be temporally and spatially distributed across the globe. A similar empirical analysis of other proteins indicated the existence of important functional implications of several variants. Identification of frequently mutated variants among COVID-19 patients might be useful for better clinical management, contact tracing, and containment of the disease.

摘要

新型冠状病毒(SARS-CoV-2)感染的最近一次大流行已影响到全球 300 多万人,报告的死亡人数超过 20 万。SARS-CoV-2 基因组具有在病毒传播时快速获得突变的能力。全基因组测序数据为研究突变动态提供了广泛的机会。越来越多的 SARS-CoV-2 全基因组序列数据的优势引起了我们的兴趣,以探索整个基因组的突变谱,检查基因组多样性,并研究这些突变对蛋白质稳定性和病毒传播的影响。我们通过对齐~660 个 SARS-CoV-2 基因组来确定经常发生突变的残基,并在 GISAID Nextstrain 中可用的 10000 个数据集上进行了验证。我们进一步评估了这些经常发生突变的残基在刺突糖蛋白结构稳定性中的潜力及其在其他蛋白质中的可能功能后果。在 11 个基因中,表面糖蛋白、核衣壳、ORF1ab 和 ORF8 显示出频繁的突变,而包膜、膜、ORF6、ORF7a 和 ORF7b 在氨基酸取代方面显示出保守性。与经常发生突变的残基的联合分析确定了 20 种病毒变体,其中 12 种特定组合包含了分析中考虑的超过 97%的分离株。不同蛋白质中的一些突变同时发生,表明它们在不同 SARS-COV-2 蛋白之间存在结构和/或功能相互作用,以及它们在适应性和病毒传播中的参与。对表面糖蛋白突变体的蛋白质结构稳定性的分析表明了特定变体的生存能力,并且更有可能在全球范围内随时间和空间分布。对其他蛋白质的类似实证分析表明,几种变体存在重要的功能影响。在 COVID-19 患者中识别经常发生突变的变体可能有助于更好的临床管理、接触者追踪和疾病控制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7205/7324922/b5048459dd51/gr1_lrg.jpg

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