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SARS-CoV-2(COVID-19)基因组变异模式表明受到限制的非随机变化:使用休哈特控制图进行分析。

Pattern of genomic variation in SARS-CoV-2 (COVID-19) suggests restricted nonrandom changes: Analysis using Shewhart control charts.

机构信息

School of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi, India.

出版信息

J Biosci. 2021;46(1). doi: 10.1007/s12038-020-00131-5.

Abstract

SARS-CoV-2 is a member of the Coronavirus family which recently originated from the Wuhan province of China and spread very rapidly through the world infecting more than 4 million people. In the past, other Coronaviruses have also been found to cause human infection, but not as widespread as COVID-19. Since Coronavirus sequences constantly change due to mutation and recombination, it is important to understand the pattern of changes and likely path the virus can take in the future. In this study, we have used the Shewhart control chart to identify and analyze hypervariable (hotspots) and hypovariable (coldspots) regions of the virus. Our analysis shows that SARS-CoV-2 has changed in a few regions of the genome. Analysis of SARS-CoV-1 and MERS sequences suggests that over time, mutations start accumulating in different regions and most likely SARS-CoV-2 may also follow a similar path. The results suggest a possible emergence of modified viruses over some time.

摘要

SARS-CoV-2 是冠状病毒科的一个成员,最近起源于中国湖北省,并迅速在全球传播,感染了超过 400 万人。过去,其他冠状病毒也被发现会导致人类感染,但没有 COVID-19 那么广泛。由于冠状病毒序列会因突变和重组而不断变化,因此了解病毒未来可能的变化模式和走向非常重要。在这项研究中,我们使用休哈特控制图来识别和分析病毒的高变区(热点)和低变区(冷点)。我们的分析表明,SARS-CoV-2 基因组的几个区域发生了变化。对 SARS-CoV-1 和 MERS 序列的分析表明,随着时间的推移,突变开始在不同区域积累,SARS-CoV-2 很可能也会遵循类似的路径。结果表明,随着时间的推移,可能会出现改良病毒。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/46e3/7856336/26245ae158da/12038_2020_131_Fig1_HTML.jpg

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