Bonnet Eric, Wuyts Jan, Rouzé Pierre, Van de Peer Yves
Department of Plant Systems Biology, Flanders Interuniversity Institute for Biotechnology (VIB), Ghent University, Technologiepark 927, B-9052 Ghent, Belgium.
Bioinformatics. 2004 Nov 22;20(17):2911-7. doi: 10.1093/bioinformatics/bth374. Epub 2004 Jun 24.
Most non-coding RNAs are characterized by a specific secondary and tertiary structure that determines their function. Here, we investigate the folding energy of the secondary structure of non-coding RNA sequences, such as microRNA precursors, transfer RNAs and ribosomal RNAs in several eukaryotic taxa. Statistical biases are assessed by a randomization test, in which the predicted minimum free energy of folding is compared with values obtained for structures inferred from randomly shuffling the original sequences.
In contrast with transfer RNAs and ribosomal RNAs, the majority of the microRNA sequences clearly exhibit a folding free energy that is considerably lower than that for shuffled sequences, indicating a high tendency in the sequence towards a stable secondary structure. A possible usage of this statistical test in the framework of the detection of genuine miRNA sequences is discussed.
大多数非编码RNA具有特定的二级和三级结构,这些结构决定了它们的功能。在此,我们研究了几种真核生物类群中微RNA前体、转运RNA和核糖体RNA等非编码RNA序列二级结构的折叠能量。通过随机化测试评估统计偏差,即将预测的最小折叠自由能与从随机改组原始序列推断出的结构所获得的值进行比较。
与转运RNA和核糖体RNA不同,大多数微RNA序列明显表现出比随机改组序列低得多的折叠自由能,这表明该序列具有形成稳定二级结构的高度倾向。本文讨论了这种统计测试在检测真实miRNA序列框架中的可能用途。