SARS-CoV-2 CoCoPUTs:分析GISAID和NCBI数据,在多年时间内获得子统计,突变和自由能量
Nigam H Padhiar1, Tigran Ghazanchyan2, Sarah E Fumagalli1
1Hemostasis Branch 1, Division of Hemostasis, Office of Plasma Protein Therapeutics CMC, Office of Therapeutic Products, Center for Biologics Evaluation and Research, Food and Drug Administration, 10903 New Hampshire Ave, Silver Spring, MD 20993, USA.
Virus evolution
|January 30, 2025
概括
一个名为SARS-CoV-2 CoCoPUTs的新数据库汇编了严重急性呼吸综合征冠状病毒2 (SARS-CoV-2) 变种的编码子使用,突变和RNA二次结构数据. 这项分析揭示了病毒演变的趋势,包括非同名突变的增加和同名突变在RNA稳定性中的作用.
科学领域:
- 病毒学 病毒学
- 生物信息学是一种生物信息学.
- 基因组学就是基因组学.
背景情况:
- 严重急性呼吸道综合征冠状病毒2 (SARS-CoV-2) 的演变是研究的一个关键领域.
- 像GISAID和NCBI这样的现有数据资源缺乏集成的子使用,突变和二次结构数据.
- 了解病毒序列组成的变化对于跟踪流行病进展至关重要.
研究的目的:
- 创建一个全面的数据库 (SARS-CoV-2 CoCoPUTs),整合各种SARS-CoV-2序列属性.
- 分析代码子的使用,突变模式,以及跨变体的全基因组RNA二次结构.
- 为了确定进化趋势和序列变化的功能影响.
主要方法:
- 从GISAID和NCBI病毒收集和整理数据.
- 开发了序列策划策略,以获得每个Pango血统中的一个序列.
- 通过使用线性分割和SHAPE数据进行了分析,包括编码子使用,突变分析,GC含量和RNA二次结构预测.
- 综合统计与变量比例数据,以跟踪演变趋势.
主要成果:
- 在SARS-CoV-2 CoCoPUTs数据库整合了代码的使用,突变和二次结构数据.
- 从2021年2月到2023年7月,观察到同义和非同义突变的增加,非同义突变的增加比例为3:1.
- 验证了全基因组次要结构中病毒激活转化抑制剂 (VAIT) 干环的存在,并发现同义突变可能会增加病毒RNA的自由能量.
结论:
- SARS-CoV-2 CoCoPUTs为研究病毒演变提供了宝贵的资源.
- 同名突变似乎在增加病毒RNA自由能量方面发挥着作用,可能会影响病毒生物学.
- 这项研究验证了先前关于增加病毒自由能量的发现,并强调了全面数据整合的重要性.
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