Walter Costa Maria Beatriz
Bioinformatics Group, Department of Computer Science, and Interdisciplinary Center for Bioinformatics, University of Leipzig, Leipzig, Germany.
Institute of Laboratory Medicine, Clinical Chemistry und Molecular Diagnostics, University of Leipzig Medical Center, Leipzig, Germany.
Methods Mol Biol. 2023;2586:121-146. doi: 10.1007/978-1-0716-2768-6_8.
Noncoding RNAs, ncRNAs, naturally fold into structures, which allow them to perform their functions in the cell. Evolutionarily close species share structures and functions. This occurs because of shared selective pressures, resulting in conserved groups. Previous efforts in finding functional RNAs have been made in detecting conserved structures in genomes or alignments. It may occur that, within a conserved group, species-specific structures arise after species split due to positive selection. Detecting positive selection in ncRNAs is a hard problem in biology as well as bioinformatics. To detect positive selection, one should find species-specific structures within a conserved set. This chapter provides protocols to detect and analyze positive selection in ncRNA structures with the SSS-test and other free software.
非编码RNA(ncRNA)自然折叠成特定结构,使其能够在细胞中发挥功能。进化关系相近的物种具有相似的结构和功能。这是由于共享的选择压力导致了保守群体的出现。以往寻找功能性RNA的工作主要集中在检测基因组或序列比对中的保守结构。在一个保守群体中,由于正选择,物种分化后可能会出现物种特异性结构。检测ncRNA中的正选择在生物学和生物信息学中都是一个难题。为了检测正选择,需要在一个保守集合中找到物种特异性结构。本章提供了使用SSS检验和其他免费软件检测和分析ncRNA结构中正选择的方法。