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印度北方邦 SARS-CoV-2 的基因组流行病学研究。

Genomic epidemiology of SARS-CoV-2 from Uttar Pradesh, India.

机构信息

Molecular Diagnostics and COVID-19 Kit Testing Laboratory, National Institute of Biologicals (Ministry of Health and Family Welfare), A-32, Sector-62, Institutional Area, Noida, UP, 201309, India.

National Dairy Research Institute, Karnal, Haryana, India.

出版信息

Sci Rep. 2023 Sep 8;13(1):14847. doi: 10.1038/s41598-023-42065-6.

Abstract

The various strains and mutations of SARS-CoV-2 have been tracked using several forms of genomic classification systems. The present study reports high-throughput sequencing and analysis of 99 SARS-CoV-2 specimens from Western Uttar Pradesh using sequences obtained from the GISAID database, followed by phylogeny and clade classification. Phylogenetic analysis revealed that Omicron lineages BA-2-like (55.55%) followed by Delta lineage-B.1.617.2 (45.5%) were predominantly circulating in this area Signature substitution at positions S: N501Y, S: D614G, S: T478K, S: K417N, S: E484A, S: P681H, and S: S477N were commonly detected in the Omicron variant-BA-2-like, however S: D614G, S: L452R, S: P681R and S: D950N were confined to Delta variant-B.1.617.2. We have also identified three escape variants in the S gene at codon position 19 (T19I/R), 484 (E484A/Q), and 681 (P681R/H) during the fourth and fifth waves in India. Based on the phylogenetic diversification studies and similar changes in other lineages, our analysis revealed indications of convergent evolution as the virus adjusts to the shifting immunological profile of its human host. To the best of our knowledge, this study is an approach to comprehensively map the circulating SARS-CoV-2 strains from Western Uttar Pradesh using an integrated approach of whole genome sequencing and phylogenetic analysis. These findings will be extremely valuable in developing a structured approach toward pandemic preparedness and evidence-based intervention plans in the future.

摘要

本研究报告了对来自北方邦西部的 99 个 SARS-CoV-2 样本进行高通量测序和分析的情况,这些样本是使用从 GISAID 数据库中获得的序列进行的,随后进行了系统发育和进化枝分类。系统发育分析显示,奥密克戎 BA-2 样谱系(55.55%)和德尔塔谱系-B.1.617.2(45.5%)是该地区主要流行的谱系。在奥密克戎变异株-BA-2 样中,常见到 S 位的 N501Y、S 位的 D614G、S 位的 T478K、S 位的 K417N、S 位的 E484A、S 位的 P681H 和 S 位的 S477N 的特征性取代,然而 S 位的 D614G、S 位的 L452R、S 位的 P681R 和 S 位的 D950N 局限于德尔塔变异株-B.1.617.2。我们还在印度的第四波和第五波疫情中发现了 S 基因第 19 位(T19I/R)、484 位(E484A/Q)和 681 位(P681R/H)三个逃逸变异。根据系统发育多样化研究以及其他谱系的相似变化,我们的分析表明,病毒在适应人类宿主不断变化的免疫特征时存在趋同进化的迹象。据我们所知,本研究是使用全基因组测序和系统发育分析的综合方法,全面描绘北方邦西部流行的 SARS-CoV-2 株的方法。这些发现对于制定未来大流行准备和循证干预计划的结构化方法将具有极其重要的意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd19/10491582/8aac2df68ab3/41598_2023_42065_Fig1_HTML.jpg

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