Museum of Comparative Zoology, Department of Organismic and Evolutionary Biology, Harvard University
Departamento de Entomologia, ESALQ-USP, Piracicaba, São Paulo, Brazil.
Mol Biol Evol. 2014 Dec;31(12):3206-15. doi: 10.1093/molbev/msu253. Epub 2014 Aug 27.
Resolving the deep relationships of ancient animal lineages has proven difficult using standard Sanger-sequencing approaches with a handful of markers. We thus reassess the relatively well-studied phylogeny of the phylum Nemertea (ribbon worms)-for which the targeted gene approaches had resolved many clades but had left key phylogenetic gaps-by using a phylogenomic approach using Illumina-based de novo assembled transcriptomes and automatic orthology prediction methods. The analysis of a concatenated data set of 2,779 genes (411,138 amino acids) with about 78% gene occupancy and a reduced version with 95% gene occupancy, under evolutionary models accounting or not for site-specific amino acid replacement patterns results in a well-supported phylogeny that recovers all major accepted nemertean clades with the monophyly of Heteronemertea, Hoplonemertea, Monostilifera, being well supported. Significantly, all the ambiguous patterns inferred from Sanger-based approaches were resolved, namely the monophyly of Palaeonemertea and Pilidiophora. By testing for possible conflict in the analyzed supermatrix, we observed that concatenation was the best solution, and the results of the analyses should settle prior debates on nemertean phylogeny. The study highlights the importance, feasibility, and completeness of Illumina-based phylogenomic data matrices.
使用少数标记的标准 Sanger 测序方法很难解决古代动物谱系的深层关系。因此,我们通过使用基于 Illumina 的从头组装转录组和自动同源预测方法的基因组学方法,重新评估了相对研究较好的 Nemertea 门(纽形动物)的系统发育 - 靶向基因方法已经解决了许多进化枝,但留下了关键的系统发育空白。对 2779 个基因(411138 个氨基酸)的串联数据集进行分析,其中约 78%的基因占据率和具有 95%基因占据率的简化版,在考虑或不考虑特定位置氨基酸替换模式的进化模型下,得到了一个支持良好的系统发育树,恢复了所有主要接受的纽形动物进化枝,并且支持 Heteronemertea、Hoplonemertea 和 Monostilifera 的单系性。值得注意的是,从 Sanger 方法推断出的所有模糊模式都得到了解决,即 Palaeonemertea 和 Pilidiophora 的单系性。通过测试分析超级矩阵中可能存在的冲突,我们观察到串联是最佳解决方案,并且分析结果应该解决纽形动物系统发育的先前争论。该研究强调了基于 Illumina 的基因组学数据矩阵的重要性、可行性和完整性。