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基于RNA的系统发育方法:应用于哺乳动物线粒体RNA序列

RNA-based phylogenetic methods: application to mammalian mitochondrial RNA sequences.

作者信息

Hudelot Cendrine, Gowri-Shankar Vivek, Jow Howsun, Rattray Magnus, Higgs Paul G

机构信息

School of Biological Sciences, University of Manchester, UK.

出版信息

Mol Phylogenet Evol. 2003 Aug;28(2):241-52. doi: 10.1016/s1055-7903(03)00061-7.

Abstract

The PHASE software package allows phylogenetic tree construction with a number of evolutionary models designed specifically for use with RNA sequences that have conserved secondary structure. Evolution in the paired regions of RNAs occurs via compensatory substitutions, hence changes on either side of a pair are correlated. Accounting for this correlation is important for phylogenetic inference because it affects the likelihood calculation. In the present study we use the complete set of tRNA and rRNA sequences from 69 complete mammalian mitochondrial genomes. The likelihood calculation uses two evolutionary models simultaneously for different parts of the sequence: a paired-site model for the paired sites and a single-site model for the unpaired sites. We use Bayesian phylogenetic methods and a Markov chain Monte Carlo algorithm is used to obtain the most probable trees and posterior probabilities of clades. The results are well resolved for almost all the important branches on the mammalian tree. They support the arrangement of mammalian orders within the four supra-ordinal clades that have been identified by studies of much larger data sets mainly comprising nuclear genes. Groups such as the hedgehogs and the murid rodents, which have been problematic in previous studies with mitochondrial proteins, appear in their expected position with the other members of their order. Our choice of genes and evolutionary model appears to be more reliable and less subject to biases caused by variation in base composition than previous studies with mitochondrial genomes.

摘要

PHASE软件包允许使用一些专门为具有保守二级结构的RNA序列设计的进化模型来构建系统发育树。RNA配对区域的进化通过补偿性替换发生,因此配对两侧的变化是相关的。考虑这种相关性对于系统发育推断很重要,因为它会影响似然性计算。在本研究中,我们使用了来自69个完整哺乳动物线粒体基因组的全套tRNA和rRNA序列。似然性计算针对序列的不同部分同时使用两种进化模型:配对位点的配对位点模型和非配对位点的单一位点模型。我们使用贝叶斯系统发育方法,并使用马尔可夫链蒙特卡罗算法来获得最可能的树和分支的后验概率。对于哺乳动物树中几乎所有重要分支,结果都得到了很好的解析。它们支持在主要由核基因组成的更大数据集的研究中确定的四个超目分支内哺乳动物目级别的排列。像刺猬和鼠科啮齿动物这样在先前线粒体蛋白质研究中存在问题的类群,与其目内的其他成员一起出现在预期的位置。与先前的线粒体基因组研究相比,我们对基因和进化模型的选择似乎更可靠,并且更不易受到碱基组成变化引起的偏差的影响。

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