Systematic Entomology, Graduate School of Agriculture, Hokkaido University, Sapporo 060-8589, Japan.
Mol Phylogenet Evol. 2010 Jun;55(3):939-51. doi: 10.1016/j.ympev.2010.02.026. Epub 2010 Mar 6.
Recent molecular phylogenetic analyses of 18S rDNA have indicated that parasitic lice (order Phthiraptera) are possibly polyphyletic. These analyses recovered one of the parasitic louse suborders, Amblycera, as the sister group to the free-living booklouse family Liposcelididae. We further tested this hypothesis using DNA sequences from five genes: nuclear 18S rDNA, Histone 3, and wingless and mitochondrial 16S rDNA and COI. Combined analyses of these five genes provided reasonably strong support for the Amblycera+Liposcelididae clade, supporting the polyphyly of lice hypothesis. To explore the robustness of this result, we examined the phylogenetic signal contained in each gene independently (except for wingless, which could not be readily amplified in many target taxa). Analyses of each gene separately and in various combinations with other genes revealed that clear signal supporting Amblycera+Liposcelididae only existed in the 18S data, although no analysis supported monophyly of parasitic lice. Nevertheless, combined analyses of all genes provided stronger support for this relationship than that obtained from 18S data alone. The increase in support for this clade was mostly explained by the stabilization of other parts of the tree and potentially inappropriate substitution modeling. These findings demonstrate that the increased support values provided by combined data set does not always indicate corroboration of the hypothesis.
最近对 18S rDNA 的分子系统发育分析表明,寄生虱(目 Phthiraptera)可能是多系的。这些分析结果将寄生虱亚目之一的食毛目作为自由生活的书虱科的姐妹群。我们使用来自五个基因的 DNA 序列进一步检验了这一假说:核 18S rDNA、组蛋白 3 以及 wingless 和线粒体 16S rDNA 和 COI。这五个基因的联合分析为食毛目+书虱科分支提供了相当有力的支持,支持了虱子的多系假说。为了探索这一结果的稳健性,我们分别检查了每个基因中包含的系统发育信号(wingless 除外,因为它在许多目标分类群中不易扩增)。对每个基因的单独分析以及与其他基因的各种组合分析表明,只有 18S 数据支持食毛目+书虱科,尽管没有分析支持寄生虱的单系性。然而,所有基因的联合分析为这种关系提供的支持比仅从 18S 数据获得的支持更强。该分支的支持度增加主要归因于树的其他部分的稳定化以及潜在的不适当替代模型。这些发现表明,组合数据集提供的支持度增加并不总是表明对假设的证实。