Morgan Claire C, Creevey Christopher J, O'Connell Mary J
Bioinformatics and Molecular Evolution Group, School of Biotechnology, Dublin City University, Glasnevin, Dublin 9, Ireland,
Mamm Genome. 2014 Dec;25(11-12):636-47. doi: 10.1007/s00335-014-9544-9. Epub 2014 Sep 20.
Mitochondrial data have traditionally been used in reconstructing a variety of species phylogenies. The low rates of recombination and thorough characterization of mitochondrial data across vertebrate species make it a particularly attractive phylogenetic marker. The relatively low number of fully sequenced mammal genomes and the lack of extensive sampling within Superorders have posed a serious problem for reaching agreement on the placement mammal species. The use of mitochondrial data sequences from large numbers of mammals could serve to circumvent the taxon-sampling deficit. Here we assess the suitability of mitochondrial data as a phylogenetic marker in mammal phylogenetics. MtDNA datasets of mammal origin have been filtered as follows: (i) we have sampled sparsely across the phylogenetic tree, (ii) we have constrained our sampling to genes with high taxon coverage, (iii) we have categorised rates across sites in a phylogeny independent manner and have removed fast evolving sites, and (iv), we have sampled from very shallow divergence times to reduce phylogenetic conflict. However, topologies obtained using these filters are not consistent with previous studies and are discordant across different genes. Individual mitochondrial genes, and indeed all mitochondrial genes analysed as a supermatrix, resulted in poor resolution of the species phylogeny. Overall, our study highlights the limitations of mitochondrial data, not only for resolving deep divergences and but also for shallow divergences in the mammal phylogeny.
线粒体数据传统上一直用于重建各种物种的系统发育。脊椎动物物种中线粒体数据的低重组率和全面特征使其成为一种特别有吸引力的系统发育标记。相对较少的已完全测序的哺乳动物基因组数量以及在总目中缺乏广泛的样本采集,对于就哺乳动物物种的分类达成共识构成了严重问题。使用大量哺乳动物的线粒体数据序列可能有助于规避分类群采样不足的问题。在这里,我们评估线粒体数据作为哺乳动物系统发育学中系统发育标记的适用性。源自哺乳动物的线粒体DNA数据集已按以下方式进行筛选:(i)我们在系统发育树上进行了稀疏采样;(ii)我们将采样限制在具有高分类群覆盖率的基因上;(iii)我们以系统发育独立的方式对位点的速率进行分类,并去除了快速进化的位点;以及(iv)我们从非常浅的分歧时间进行采样以减少系统发育冲突。然而,使用这些筛选方法获得的拓扑结构与先前的研究不一致,并且在不同基因之间也不一致。单个线粒体基因,实际上作为一个超级矩阵分析的所有线粒体基因,导致物种系统发育的分辨率较差。总体而言,我们的研究突出了线粒体数据的局限性,不仅在于解决深层分歧,而且在于解决哺乳动物系统发育中的浅层分歧。