Hasegawa M, Adachi J
Institute of Statistical Mathematics, Tokyo, Japan.
Mol Biol Evol. 1996 May;13(5):710-7. doi: 10.1093/oxfordjournals.molbev.a025632.
By a maximum likelihood analysis of mitochondrial DNA sequences, we examine Graur and Higgins' hypothesis of the Ruminantia/Cetacea clade with Suiformes as an outgroup. Graur and Higgins analyzed these sequences by the neighbor-joining and parsimony methods, as well as by the maximum likelihood method under the assumption that the substitution rate is the same for all sites. The Ruminantia/Suiformes clade assumed by the traditional taxonomy was rejected strongly by this analysis and the Ruminantia/Cetacea clade was supported. Adoption of a more realistic model distinguishing among rates at different codon positions in the maximum likelihood analysis of the same data, however, grossly reduces the significance level on the Graur-Higgins hypothesis. Thus, although the Ruminantia/Suiformes grouping is indeed least likely from Graur and Higgins' data set of mitochondrial DNA, this traditional tree cannot be rejected with statistical significance under the new analysis, and more data are needed to settle the issue. In the same way, we examine Irwin and Arnason's suggestion of the Hippopotamus/Cetacea clade by using cytochrome b and hemoglobins alpha and beta, and it turn out that their suggestion is also fragile. This analysis demonstrates the importance of selecting an appropriate model among the alternatives in the maximum likelihood analysis and of using many different genes from many relevant species in order to make reliable phylogenetic inferences.
通过对线粒体DNA序列进行最大似然分析,我们以猪形亚目作为外类群,检验了格劳尔和希金斯提出的反刍亚目/鲸目进化枝假说。格劳尔和希金斯通过邻接法、简约法以及在所有位点替换率相同的假设下采用最大似然法对这些序列进行了分析。传统分类学所假定的反刍亚目/猪形亚目进化枝在此次分析中被强烈否定,而反刍亚目/鲸目进化枝得到了支持。然而,在对相同数据进行最大似然分析时采用一个更符合实际的模型来区分不同密码子位置的替换率,却极大地降低了对格劳尔 - 希金斯假说的显著水平。因此,尽管从格劳尔和希金斯的线粒体DNA数据集中来看,反刍亚目/猪形亚目分组确实最不可能,但在新的分析下,这个传统的进化树并不能在统计上被显著否定,还需要更多数据来解决这个问题。同样,我们通过使用细胞色素b以及血红蛋白α和β来检验欧文和阿纳森提出的河马/鲸目进化枝的建议,结果发现他们的建议也很不可靠。该分析表明,在最大似然分析中从多种备选模型里选择合适的模型以及使用来自许多相关物种的许多不同基因对于做出可靠的系统发育推断非常重要。