In Silico Characterisation of Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) based on the Spike Protein Gene

A. Warghane, Tejaswini Petkar, Usha Preeyaa, N. Kumari, Lavanya Ranjan
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Abstract

Objectives: The Coronavirus Disease 2019 (COVID-19) caused by SARS-CoV-2 has been the current global pandemic concern. With a high transmission rate, especially through direct contact, this disease spreads from person to person, and this has in turn led to a huge number of infections on a global scale. Methods: In present study, comparative genomic analysis was performed using 151 gene sequences of the viral spike protein retrieved from NCBI and along with its translated nucleotide sequences using MEGAX software. Variation in the nucleotide and amino acid positions were identified. Results: Our analysis revealed that 22 nucleotide variations observed in positions 13, 141, 162, 233, 284, 328, 455, 459, 716, 773, 784, 882, 1686, 1715, 1749, 1841, 2031, 2076, 2383, 2520, 2533, 3300 and 17 amino acid variations observed in position 5, 54, 78, 90, 95, 152, 153, 239, 258, 262, 572, 583, 614, 684, 677, 795 and 845. Further, phylogenetic analysis was used to uncover the patterns of spread of the virus across the affected countries. Although, certain strains showed patterns of transmission within communities, a vast majority revealed an evident mosaic pattern. Conclusion: The data obtained provides a clear understanding of variations in the nucleotide and translated nucleotide sequences, which can be targeted towards drug designing and to study evolutionary analysis.
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基于刺突蛋白基因的严重急性呼吸综合征冠状病毒-2 (SARS-CoV-2)的计算机表征
目的:由SARS-CoV-2引起的2019冠状病毒病(COVID-19)是当前全球关注的大流行病。这种疾病的传播率很高,特别是通过直接接触传播,在人与人之间传播,这反过来又导致了全球范围内的大量感染。方法:本研究使用MEGAX软件对NCBI检索的151个病毒刺突蛋白基因序列及其翻译核苷酸序列进行比较基因组分析。鉴定了核苷酸和氨基酸位置的变化。结果:在13、141、162、233、284、328、455、459、716、773、784、882、1686、1715、1749、1841、2031、2076、2383、2520、2533、3300位点发现了22个核苷酸变异,在5、54、78、90、95、152、153、239、258、262、572、583、614、684、677、795、845位点发现了17个氨基酸变异。此外,还利用系统发育分析揭示了病毒在受影响国家的传播模式。虽然某些菌株表现出群落内传播模式,但绝大多数菌株表现出明显的镶嵌模式。结论:获得的数据提供了对核苷酸和翻译核苷酸序列变化的清晰认识,可用于药物设计和研究进化分析。
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