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印度新冠病毒变异株(VOC)非结构蛋白和刺突蛋白的突变与进化动态

Mutational and evolutionary dynamics of non-structural and spike proteins from variants of concern (VOC) of SARS-CoV-2 in India.

作者信息

Chaudhuri Ankur, Das Subhrangshu, Chakrabarti Saikat

机构信息

Structural Biology and Bioinformatics Division, CSIR-Indian Institute of Chemical Biology, IICB TRUE Campus, CN-6, Sector 5, Salt Lake, Kolkata 700091, WB, India.

Structural Biology and Bioinformatics Division, CSIR-Indian Institute of Chemical Biology, IICB TRUE Campus, CN-6, Sector 5, Salt Lake, Kolkata 700091, WB, India.

出版信息

Int J Biol Macromol. 2024 Dec;282(Pt 4):137154. doi: 10.1016/j.ijbiomac.2024.137154. Epub 2024 Oct 31.

Abstract

Monitoring the genetic diversity and emerging mutations in SARS-CoV-2 remains crucial for understanding its evolution, given the virus's persistence in India. This study analyzes lineage dynamics, mutation screening, structural analysis, and phylodynamics of SARS-CoV-2 variants of concern (VOC) in India from October 2020 to September 2023. The predominant variants identified were alpha, beta, delta, and omicron, with delta and omicron making up 76.05 % of sequenced genomes. The B.1.617.2 lineage of the delta variant was the major contributor to COVID-19 cases before the rise of omicron. Mutation screening of non-structural proteins (NSPs) and spike proteins revealed distinct profiles for each VOC. Co-mutation patterns were analyzed, showing structural and energetic alterations. Phylogenetic analysis indicated that nsp1, nsp3, nsp4, nsp13, and nsp14 were strongly associated with increased mutation load. The study also highlighted that nsp14 and spike have similar mutability patterns, underscoring nsp14's critical role in SARS-CoV-2 infectivity and persistence. This research provides a comprehensive view of SARS-CoV-2's evolution and persistence in India.

摘要

鉴于新冠病毒在印度持续存在,监测其基因多样性和新出现的突变对于理解其进化仍然至关重要。本研究分析了2020年10月至2023年9月印度境内新冠病毒变异株(VOC)的谱系动态、突变筛查、结构分析和系统发育动力学。鉴定出的主要变异株为阿尔法、贝塔、德尔塔和奥密克戎,其中德尔塔和奥密克戎占测序基因组的76.05%。在奥密克戎出现之前,德尔塔变异株的B.1.617.2谱系是新冠病例的主要来源。对非结构蛋白(NSP)和刺突蛋白的突变筛查揭示了每种VOC的独特特征。分析了共突变模式,显示出结构和能量变化。系统发育分析表明,nsp1、nsp3、nsp4、nsp13和nsp14与突变负荷增加密切相关。该研究还强调,nsp14和刺突具有相似的突变模式,突出了nsp14在新冠病毒感染性和持久性中的关键作用。这项研究全面展现了新冠病毒在印度的进化和持续情况。

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