Department of Biochemistry, Stanford University, Stanford, CA 94305.
Program in Biophysics, Stanford University, Stanford, CA 94305.
Proc Natl Acad Sci U S A. 2019 Aug 20;116(34):16847-16855. doi: 10.1073/pnas.1901530116. Epub 2019 Aug 2.
Structured RNAs and RNA complexes underlie biological processes ranging from control of gene expression to protein translation. Approximately 50% of nucleotides within known structured RNAs are folded into Watson-Crick (WC) base pairs, and sequence changes that preserve these pairs are typically assumed to preserve higher-order RNA structure and binding of macromolecule partners. Here, we report that indirect effects of the helix sequence on RNA tertiary stability are, in fact, significant but are nevertheless predictable from a simple computational model called RNAMake-∆∆G. When tested through the RNA on a massively parallel array (RNA-MaP) experimental platform, blind predictions for >1500 variants of the tectoRNA heterodimer model system achieve high accuracy (rmsd 0.34 and 0.77 kcal/mol for sequence and length changes, respectively). Detailed comparison of predictions to experiments support a microscopic picture of how helix sequence changes subtly modulate conformational fluctuations at each base-pair step, which accumulate to impact RNA tertiary structure stability. Our study reveals a previously overlooked phenomenon in RNA structure formation and provides a framework of computation and experiment for understanding helix conformational preferences and their impact across biological RNA and RNA-protein assemblies.
结构 RNA 和 RNA 复合物是许多生物学过程的基础,包括基因表达调控到蛋白质翻译。已知结构 RNA 中约有 50%的核苷酸折叠成 Watson-Crick(WC)碱基对,并且通常假定保留这些碱基对的序列变化会保留更高阶的 RNA 结构和大分子伴侣的结合。在这里,我们报告说,螺旋序列对 RNA 三级结构稳定性的间接影响实际上是显著的,但可以通过称为 RNAMake-∆∆G 的简单计算模型来预测。通过 RNA 在大规模平行阵列 (RNA-MaP) 实验平台上进行测试, tectoRNA 异二聚体模型系统的 >1500 个变体的盲预测达到了很高的准确性(序列和长度变化的 rmsd 分别为 0.34 和 0.77 kcal/mol)。对预测和实验的详细比较支持了一种微观图景,即螺旋序列变化如何微妙地调节每个碱基对步骤的构象波动,这些波动积累起来会影响 RNA 三级结构稳定性。我们的研究揭示了 RNA 结构形成中一个以前被忽视的现象,并提供了一个计算和实验框架,用于理解螺旋构象偏好及其对生物 RNA 和 RNA-蛋白质复合物的影响。