在冠状病毒基因组中发现和量化长距离RNA基因对,使用SEARCH-MAP和SEISMIC-RNA
Matthew F Allan1,2,3, Justin Aruda1,4, Jesse S Plung1,5
1Department of Microbiology, Harvard Medical School, Boston, Massachusetts, USA 02115.
Research square
|August 16, 2024
概括
新的RNA结构映射方法揭示了冠状病毒中的长距离基对,可能调节病毒RNA合成. 这些发现推动了RNA结构研究和病毒机制的理解.
科学领域:
- 分子生物学分子生物学
- 病毒学 病毒学
- 生物化学 生物化学
背景情况:
- RNA分子折叠成复杂的结构,对它们的功能至关重要.
- 现有的方法可以模拟二次结构,但与长距离基数对作斗争.
- 对于像冠状病毒中的病毒RNA来说,长距离的基对至关重要.
研究的目的:
- 介绍了一种新的方法,即通过反向补杂杂化与突变分析 (SEARCH-MaP) 进行结构集体除,以及相关的软件,SEISMIC-RNA.
- 发现和量化其他RNA结构,特别是那些具有长距离基对的结构.
- 研究冠状病毒中的核糖体框架转移的结构基础.
主要方法:
- 开发并应用了SEARCH-MaP技术与突变分析相结合.
- 使用SEISMIC-RNA软件来分析测序和突变数据.
- 模拟病毒RNA的基因组二级结构.
主要成果:
- 发现SARS-CoV-2框架转移刺激元素在近50%的分子中与下游元素形成了长距离的基对.
- 确定了影响核糖体框架转移的竞争性结构,包括伪结.
- 在其他冠状病毒 (SARS-CoV-1,TGEV) 中发现了类似的长距离基对,并模拟了TGEV的完整次要结构.
结论:
- 长距离基对在冠状病毒中普遍存在,并且可能调节重要的病毒过程,如核糖体框架转移.
- 新的SEARCH-MaP和SEISMIC-RNA工具使得以前难以捉摸的RNA结构的表征成为可能.
- 这项工作增强了对RNA结构-功能关系和病毒RNA合成机制的理解.
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