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
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. 这些发现推动了对复杂RNA结构及其功能的研究.
科学领域:
- 分子生物学分子生物学
- 病毒学 病毒学
- 结构生物学 结构生物学
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,但与长距离的基对作斗争.
- 长距离的基对对病毒,信使和长非编码RNA至关重要.
研究的目的:
- 引入一种新的方法 (SEARCH-MaP) 和软件 (SEISMIC-RNA) 来发现和量化RNA的替代结构,包括那些具有远程基对的结构.
- 研究冠状病毒中的RNA结构,专注于SARS-CoV-2的框架转移刺激元素.
- 探索病毒RNA中长距离基对的流行率和功能影响.
主要方法:
- 通过反向补杂杂化与突变分析 (SEARCH-MaP) 开发和应用结构集体废除.
- 通过测序,突变识别和RNA聚类 (SEISMIC-RNA) 软件进行结构集结推理用于数据分析.
- 对不同冠状病毒 (SARS-CoV-2,SARS-CoV-1,TGEV) 的RNA结构进行比较分析.
主要成果:
- 在近一半的SARS-CoV-2RNA分子中发现了长距离基对 (1基基下游),其中涉及移刺激元素.
- 识别竞争的结构,包括一个伪结,影响核糖体框架转移.
- 在其他冠状病毒中检测到类似的远程基因对,并对TGEV的完整基因组次要结构进行建模.
结论:
- 长距离基对在冠状病毒中普遍存在,并且可能在核糖体框架转移中发挥调节作用,这对于病毒RNA合成至关重要.
- 新的SEARCH-MaP方法和SEISMIC-RNA软件使得以前难以捉摸的RNA结构组合的表征成为可能.
- 这项工作增强了对RNA结构及其多种功能的理解,特别是在病毒系统中.
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