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核糖核酸酶P和核糖核酸酶MRP相关RNA的进化:系统发育分析与核苷酸替换率

The evolution of the RNase P- and RNase MRP-associated RNAs: phylogenetic analysis and nucleotide substitution rate.

作者信息

Sbisà E, Pesole G, Tullo A, Saccone C

机构信息

Centro di Studio sui Mitocondri e Metabolismo Energetico, CNR. Via Amendola, 165/A, 70126 Bari, Italy.

出版信息

J Mol Evol. 1996 Jul;43(1):46-57. doi: 10.1007/BF02352299.

Abstract

We report a detailed evolutionary study of the RNase P- and RNase MRP- associated RNAs. The analyses were performed on all the available complete sequences of RNase MRP (vertebrates, yeast, plant), nuclear RNase P (vertebrates, yeast), and mitochondrial RNase P (yeast) RNAs. For the first time the phylogenetic distance between these sequences and the nucleotide substitution rates have been quantitatively measured.The analyses were performed by considering the optimal multiple alignments obtained mostly by maximizing similarity between primary sequences. RNase P RNA and MRP RNA display evolutionary dynamics following the molecular clock. Both have similar rates and evolve about one order of magnitude faster than the corresponding small rRNA sequences which have been, so far, the most common gene markers used for phylogeny. However, small rRNAs evolve too slowly to solve close phylogenetic relationships such as those between mammals. The quicker rate of RNase P and MRP RNA allowed us to assess phylogenetic relationships between mammals and other vertebrate species and yeast strains. The phylogenetic data obtained with yeasts perfectly agree with those obtained by functional assays, thus demonstrating the potential offered by this approach for laboratory experiments.

摘要

我们报告了一项关于与核糖核酸酶P(RNase P)和线粒体核糖核酸酶P(RNase MRP)相关的RNA的详细进化研究。分析是针对核糖核酸酶MRP(脊椎动物、酵母、植物)、细胞核核糖核酸酶P(脊椎动物、酵母)和线粒体核糖核酸酶P(酵母)RNA的所有可用完整序列进行的。首次对这些序列之间的系统发育距离和核苷酸替代率进行了定量测量。分析是通过考虑主要通过最大化一级序列之间的相似性而获得的最佳多重比对来进行的。核糖核酸酶P RNA和MRP RNA呈现出遵循分子钟的进化动态。两者具有相似的速率,并且比相应的小rRNA序列进化快约一个数量级,而小rRNA序列迄今为止是系统发育中最常用的基因标记。然而,小rRNA进化太慢,无法解决诸如哺乳动物之间的紧密系统发育关系。核糖核酸酶P和MRP RNA较快的进化速率使我们能够评估哺乳动物与其他脊椎动物物种以及酵母菌株之间的系统发育关系。用酵母获得的系统发育数据与通过功能测定获得的数据完全一致,从而证明了这种方法在实验室实验中的潜力。

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