Division of Evolutionary Biology, National Institute for Basic Biology, Okazaki 444-8585, Japan.
Mol Phylogenet Evol. 2011 May;59(2):469-76. doi: 10.1016/j.ympev.2011.03.006. Epub 2011 Mar 21.
We investigated the utility of indel data for genealogical and population genetic analyses using the Tpi intron of the leaf mining moth Acrocercops transecta (Insecta: Lepidoptera). Genealogical analyses revealed that indel data were less homoplasious than DNA sequence data and that indel data contained a sufficient signal to provide a high resolution tree that was highly congruent with the tree estimated from DNA sequences. Although some conflicts were identified in the distributions of multi-residue indels, such conflicts were especially useful for the unambiguous detection of recombinations. For the first time, we adopted a Bayesian clustering method for indel characters to infer genetic structure of the moth. We concluded that indel characters have the potential to be a powerful tool in the analysis of population genetics and population structure as well as in the detection of gene flow.
我们利用叶潜蛾 Acrocercops transecta（昆虫纲：鳞翅目）的 Tpi 内含子，研究了插入缺失数据在系统发育和群体遗传学分析中的应用。系统发育分析表明，插入缺失数据的同质性低于 DNA 序列数据，且插入缺失数据包含足够的信号，能够提供高分辨率的树，与 DNA 序列估计的树高度一致。虽然在多残基插入缺失的分布中发现了一些冲突，但这些冲突对于明确检测重组特别有用。我们首次采用贝叶斯聚类方法对插入缺失特征进行分析，以推断这种飞蛾的遗传结构。我们的结论是，插入缺失特征有可能成为分析种群遗传学和种群结构以及检测基因流的有力工具。
