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印度出现新型 SARS-CoV-2 变体:第二波疫情。

Emergence of Novel SARS-CoV-2 variants in India: second wave.

机构信息

Nitte (Deemed to be University), Nitte University Center for Science Education and Research (NUCSER), Mangalore, India.

出版信息

J Infect Dev Ctries. 2021 Nov 30;15(11):1578-1583. doi: 10.3855/jidc.15484.

DOI:10.3855/jidc.15484
PMID:34898481
Abstract

INTRODUCTION

Globally South-East Asia reported 40% of SARS-CoV-2 infected cases in the fourth week of April 2021. It continued to show an increase with India accounting for 50% of cases worldwide and 30% of global deaths. Genomic surveillance should continue at a rapid pace because of the continuously evolving nature of the virus. The time period of sample collection from the Global Initiative on Sharing All Influenza Data database was concurrent with the surge in new cases seen in the Indian subcontinent.

METHODOLOGY

7,415 sequences were downloaded from Global Initiative on Sharing All Influenza Data between January and April 2021; out of which 4,411 were high coverage genome sequences and were considered for analysis. Phylogenetic analysis were carried out using Nextstrain.

RESULTS

21A or B.1.617 or delta was the most prevalent lineage in India accounting for 67.7% of the genomes. Next important clades were 20A, 20B and 20I accounting for 23.6%, 11.8% and 12.1% respectively collected between January 2021 and April 2021. The remaining sequences were assigned to clade 20H, 20J, 20D, 20C, 20G,20E,19A and 19B.The spike mutation frequencies of L452R, E484Q and P681R in Indian state of Maharashtra were 62.4%, 66.5% and 61.5% respectively. Two unique N-terminal domain deletion of spike protein were found at position 67 and 68.

CONCLUSIONS

The phylogenomics of the delta variant or 21A emerged in neighboring Asian countries of Thailand, Bangladesh, Indonesia and Japan. We analyzed the SARS-CoV-2 genomes from India for mutation characterization of the spike glycoprotein and the nucleocapsid protein.

摘要

简介

2021 年 4 月的第四周,全球报告的 SARS-CoV-2 感染病例中,东南亚占 40%。随着印度占全球病例的 50%和全球死亡的 30%,该地区的病例继续呈上升趋势。由于病毒不断演变,基因组监测应继续快速进行。从全球流感数据共享倡议数据库中收集样本的时间段与印度次大陆新病例的激增时间一致。

方法

2021 年 1 月至 4 月,从全球流感数据共享倡议中下载了 7415 个序列;其中 4411 个是高覆盖率的基因组序列,并进行了分析。使用 Nextstrain 进行了系统发育分析。

结果

21A 或 B.1.617 或 delta 是印度最流行的谱系,占基因组的 67.7%。其次是重要的分支 20A、20B 和 20I,分别占 23.6%、11.8%和 12.1%,这些分支分别在 2021 年 1 月至 4 月期间收集。其余序列被分配到分支 20H、20J、20D、20C、20G、20E、19A 和 19B。在印度马哈拉施特拉邦,刺突蛋白 L452R、E484Q 和 P681R 的突变频率分别为 62.4%、66.5%和 61.5%。在刺突蛋白的 N 端结构域发现了两个独特的缺失,位于第 67 和 68 位。

结论

在泰国、孟加拉国、印度尼西亚和日本等邻近亚洲国家,出现了 delta 变体或 21A 的系统发育。我们分析了来自印度的 SARS-CoV-2 基因组,以了解刺突糖蛋白和核衣壳蛋白的突变特征。

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