Liu Yingqi, Song Fan, Jiang Pei, Wilson John-James, Cai Wanzhi, Li Hu
Key Laboratory of Pest Monitoring and Green Management, Ministry of Agriculture, Department of Entomology, China Agricultural University, Beijing 100193, China.
National Agro-Technical Extension and Service Centre, Ministry of Agriculture, Beijing 100125, China.
Mol Phylogenet Evol. 2018 Jan;118:135-144. doi: 10.1016/j.ympev.2017.09.025. Epub 2017 Oct 3.
Mitochondrial phylogenomics is often controversial, in particular for inferring deep relationships. The recent rapid increase of mitochondrial genome data provides opportunities for better phylogenetic estimates and assessment of potential biases resulting from heterogeneity in nucleotide composition and mutation rates. Here, we gathered 76 mitochondrial genome sequences for Heteroptera representing all seven infraorders, including 17 newly sequenced mitochondrial genomes. We found strong heterogeneity in base composition and contrasting evolutionary rates among heteropteran mitochondrial genomes, which affected analyses with various datasets and partitioning schemes under site-homogeneous models and produced false groupings of unrelated taxa exhibiting similar base composition and accelerated evolutionary rates. Bayesian analyses using a site-heterogeneous mixture CAT+GTR model showed high congruence of topologies with the currently accepted phylogeny of Heteroptera. The results confirm the monophyly of the six infraorders within Heteroptera, except for Cimicomorpha which was recovered as two paraphyletic clades. The monophyly of Terheteroptera (Cimicomorpha and Pentatomomorpha) and Panheteroptera (Nepomorpha, Leptopodomorpha and Terheteroptera) was recovered demonstrating a significant improvement over previous studies using mitochondrial genome data. Our study shows the power of the site-heterogeneous mixture models for resolving phylogenetic relationships with Heteroptera and provides one more case showing that model adequacy is critical for accurate tree reconstruction in mitochondrial phylogenomics.
线粒体系统发育基因组学常常存在争议,尤其是在推断深层次关系方面。近期线粒体基因组数据的迅速增加为进行更好的系统发育估计以及评估由核苷酸组成和突变率的异质性所导致的潜在偏差提供了机会。在此,我们收集了代表所有七个亚目的76个异翅目线粒体基因组序列,其中包括17个新测序的线粒体基因组。我们发现异翅目线粒体基因组的碱基组成存在强烈的异质性,且进化速率也有所不同,这影响了在位点均匀模型下使用各种数据集和划分方案进行的分析,并导致具有相似碱基组成和加速进化速率的不相关分类单元出现错误分组。使用位点异质混合CAT + GTR模型进行的贝叶斯分析显示,拓扑结构与当前被接受的异翅目系统发育高度一致。结果证实了异翅目内六个亚目的单系性,但臭虫亚目被恢复为两个并系分支。恢复了异翅类(臭虫亚目和蝽亚目)和泛异翅类(水蝽亚目、细蝽亚目和异翅类)的单系性,这表明相较于之前使用线粒体基因组数据的研究有了显著改进。我们的研究展示了位点异质混合模型在解析异翅目系统发育关系方面的强大作用,并提供了另一个案例,表明模型适用性对于线粒体系统发育基因组学中准确的树重建至关重要。