Suppr超能文献

土耳其 SARS-CoV-2 基因组的突变特征及其对刺突蛋白结构的影响。

Mutational landscape of SARS-CoV-2 genome in Turkey and impact of mutations on spike protein structure.

机构信息

Department of Medical Biology, Acibadem Mehmet Ali Aydinlar University School of Medicine, Istanbul, Turkey.

Acibadem Mehmet Ali Aydinlar University Rare Diseases and Orphan Drugs Application and Research Center (ACURARE), Istanbul, Turkey.

出版信息

PLoS One. 2021 Dec 6;16(12):e0260438. doi: 10.1371/journal.pone.0260438. eCollection 2021.

Abstract

The Coronavirus Disease 2019 (COVID-19) was declared a pandemic in March 2020 by the World Health Organization (WHO). As of May 25th, 2021 there were 2.059.941 SARS-COV2 genome sequences that have been submitted to the GISAID database, with numerous variations. Here, we aim to analyze the SARS-CoV-2 genome data submitted to the GISAID database from Turkey and to determine the variant and clade distributions by the end of May 2021, in accordance with their appearance timeline. We compared these findings to USA, Europe, and Asia data as well. We have also evaluated the effects of spike protein variations, detected in a group of genome sequences of 13 patients who applied to our clinic, by using 3D modeling algorithms. For this purpose, we analyzed 4607 SARS-CoV-2 genome sequences submitted by different lab centers from Turkey to the GISAID database between March 2020 and May 2021. Described mutations were also introduced in silico to the spike protein structure to analyze their isolated impacts on the protein structure. The most abundant clade was GR followed by G, GH, and GRY and we did not detect any V clade. The most common variant was B.1, followed by B.1.1, and the UK variant, B.1.1.7. Our results clearly show a concordance between the variant distributions, the number of cases, and the timelines of different variant accumulations in Turkey. The 3D simulations indicate an increase in the surface hydrophilicity of the reference spike protein and the detected mutations. There was less surface hydrophilicity increase in the Asp614Gly mutation, which exhibits a more compact conformation around the ACE-2 receptor binding domain region, rendering the structure in a "down" conformation. Our genomic findings can help to model vaccination programs and protein modeling may lead to different approaches for COVID-19 treatment strategies.

摘要

2019 年冠状病毒病(COVID-19)于 2020 年 3 月被世界卫生组织(WHO)宣布为大流行。截至 2021 年 5 月 25 日,已有 2059941 个 SARS-COV2 基因组序列提交给 GISAID 数据库,其中存在大量变异。在此,我们旨在分析从土耳其提交给 GISAID 数据库的 SARS-CoV-2 基因组数据,并根据其出现时间线确定变异体和分支的分布情况。我们还将这些发现与美国、欧洲和亚洲的数据进行了比较。我们还通过使用 3D 建模算法评估了在向我们诊所就诊的一组 13 名患者的基因组序列中检测到的刺突蛋白变异的影响。为此,我们分析了 2020 年 3 月至 2021 年 5 月期间,土耳其不同实验室中心向 GISAID 数据库提交的 4607 个 SARS-CoV-2 基因组序列。还对刺突蛋白结构中的描述性突变进行了计算机模拟,以分析它们对蛋白质结构的孤立影响。最丰富的分支是 GR,其次是 G、GH 和 GRY,我们没有检测到任何 V 分支。最常见的变异是 B.1,其次是 B.1.1 和英国变异体 B.1.1.7。我们的结果清楚地表明,土耳其的变异体分布、病例数量和不同变异体积累的时间线之间存在一致性。3D 模拟表明参考刺突蛋白和检测到的突变的表面亲水性增加。在 Asp614Gly 突变中,表面亲水性增加较少,该突变在 ACE-2 受体结合域区域周围表现出更紧凑的构象,使结构呈“向下”构象。我们的基因组研究结果有助于模拟疫苗接种计划,而蛋白质建模可能会为 COVID-19 治疗策略带来不同的方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ceb/8648120/8df65f7bdc39/pone.0260438.g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验