SARS-CoV-2_Geo_India
收藏NIAID Data Ecosystem2026-03-12 收录
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https://data.mendeley.com/datasets/4trds63wcj
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资源简介:
In this study, we analyzed the mutation and selection landscape of 516 unique and complete genomes of SARS-CoV-2 isolates from India in a 12-month span (from Jan-Dec 2020) to understand how the virus is evolving in this geographical region. We identified 953 genome-wide loci displaying single nucleotide polymorphism (SNP) and the Principal Component Analysis and mutation plots of the datasets indicate an increase in genetic variance with time. The 42% of the polymorphic sites display substitutions in the third nucleotide position of codons indicating that non-synonymous substitutions are more prevalent. These isolates displayed strong evidence of purifying selection in ORF1ab, spike, nucleocapsid, and membrane glycoprotein.
本研究针对2020年1月至12月这12个月间、来自印度的516株独特完整的严重急性呼吸综合征冠状病毒2型(SARS-CoV-2)分离株基因组,分析其突变与选择态势,以解析该地理区域内病毒的演化规律。本研究共鉴定出953个全基因组范围内存在单核苷酸多态性(SNP)的位点;对数据集的主成分分析(Principal Component Analysis)与突变图谱结果显示,病毒的遗传变异随时间推移呈上升趋势。其中42%的多态性位点的替换发生在密码子的第三个核苷酸位置,这表明非同义替换在病毒中更为普遍。这些分离株在开放阅读框1ab(ORF1ab)、刺突蛋白、核衣壳蛋白与膜糖蛋白区域均显示出强烈的纯化选择证据。
创建时间:
2021-09-30



