Yang Xiushuai, Cameron Stephen L, Lees David C, Xue Dayong, Han Hongxiang
Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China.
Earth, Environmental & Biological Sciences School, Science & Engineering Faculty, Queensland University of Technology, GPO Box 2434, Brisbane, QLD 4001, Australia.
Mol Phylogenet Evol. 2015 Apr;85:230-7. doi: 10.1016/j.ympev.2015.02.005. Epub 2015 Feb 17.
A phylogenetic hypothesis for the lepidopteran superfamily Noctuoidea was inferred based on the complete mitochondrial (mt) genomes of 12 species (six newly sequenced). The monophyly of each noctuoid family in the latest classification was well supported. Novel and robust relationships were recovered at the family level, in contrast to previous analyses using nuclear genes. Erebidae was recovered as sister to (Nolidae+(Euteliidae+Noctuidae)), while Notodontidae was sister to all these taxa (the putatively basalmost lineage Oenosandridae was not included). In order to improve phylogenetic resolution using mt genomes, various analytical approaches were tested: Bayesian inference (BI) vs. maximum likelihood (ML), excluding vs. including RNA genes (rRNA or tRNA), and Gblocks treatment. The evolutionary signal within mt genomes had low sensitivity to analytical changes. Inference methods had the most significant influence. Inclusion of tRNAs positively increased the congruence of topologies, while inclusion of rRNAs resulted in a range of phylogenetic relationships varying depending on other analytical factors. The two Gblocks parameter settings had opposite effects on nodal support between the two inference methods. The relaxed parameter (GBRA) resulted in higher support values in BI analyses, while the strict parameter (GBDH) resulted in higher support values in ML analyses.
基于12种鳞翅目夜蛾总科昆虫(6种新测序物种)的完整线粒体基因组,推断出了夜蛾总科的系统发育假说。最新分类中每个夜蛾科的单系性得到了有力支持。与之前使用核基因的分析相比,在科级水平上发现了新颖且稳健的系统发育关系。灯蛾科被发现是(毒蛾科+(裳蛾科+夜蛾科))的姐妹群,而舟蛾科是所有这些类群的姐妹群(未包括可能是最基部的线灰蝶科)。为了利用线粒体基因组提高系统发育分辨率,测试了各种分析方法:贝叶斯推断(BI)与最大似然法(ML)、排除与包含RNA基因(rRNA或tRNA)以及Gblocks处理。线粒体基因组内的进化信号对分析变化的敏感性较低。推断方法的影响最为显著。包含tRNA能积极提高拓扑结构的一致性,而包含rRNA则导致一系列取决于其他分析因素的系统发育关系。两种Gblocks参数设置对两种推断方法之间的节点支持有相反的影响。宽松参数(GBRA)在BI分析中导致更高的支持值,而严格参数(GBDH)在ML分析中导致更高的支持值。