Jow H, Hudelot C, Rattray M, Higgs P G
Department of Computer Science, University of Manchester, UK.
Mol Biol Evol. 2002 Sep;19(9):1591-601. doi: 10.1093/oxfordjournals.molbev.a004221.
We study the phylogeny of the placental mammals using molecular data from all mitochondrial tRNAs and rRNAs of 54 species. We use probabilistic substitution models specific to evolution in base paired regions of RNA. A number of these models have been implemented in a new phylogenetic inference software package for carrying out maximum likelihood and Bayesian phylogenetic inferences. We describe our Bayesian phylogenetic method which uses a Markov chain Monte Carlo algorithm to provide samples from the posterior distribution of tree topologies. Our results show support for four primary mammalian clades, in agreement with recent studies of much larger data sets mainly comprising nuclear DNA. We discuss some issues arising when using Bayesian techniques on RNA sequence data.
我们利用54个物种所有线粒体转运RNA（tRNA）和核糖体RNA（rRNA）的分子数据，研究胎盘哺乳动物的系统发育。我们使用了针对RNA碱基配对区域进化的概率替换模型。其中一些模型已在一个新的系统发育推断软件包中实现，用于进行最大似然法和贝叶斯系统发育推断。我们描述了我们的贝叶斯系统发育方法，该方法使用马尔可夫链蒙特卡罗算法从树拓扑结构的后验分布中提供样本。我们的结果支持四个主要的哺乳动物进化枝，这与最近主要包含核DNA的更大数据集的研究结果一致。我们讨论了在RNA序列数据上使用贝叶斯技术时出现的一些问题。
