目的:自19世纪以来,真核生命树一直是众多研究的主题,在过去的几年里,更多的超级团体和他们的姐妹关系被解码。在这项研究中,我们同时使用完整的18SrDNA序列及其各自的二级结构重建了真核生物的系统发育。序列结构数据编码后,使用仅序列以及序列结构方法自动比对和分析。我们介绍了211种真核生物的整体邻居连接树以及各自的轮廓邻居连接树,这有助于解决基础分枝模式。使用邻居连接进一步检查手动选择的子集,最大限度的简约,和最大似然分析。此外,预测了该子集的75%和100%的共识结构。
结果:与相应的仅序列方法相比,所有序列结构方法均显示出改进:90.3的序列结构配置文件邻居连接分析的每个节点的平均引导支持高于73.9的仅序列配置文件邻居连接分析的平均引导支持。此外,使用序列结构数据的子集分析得到了更好的支持.此外,由于单系和姐妹组关系与多标记物分析获得的结果更具可比性,因此恢复了更多的超组亚组。
OBJECTIVE: The eukaryotic tree of life has been subject of numerous studies ever since the nineteenth century, with more supergroups and their sister relations being decoded in the last years. In this study, we reconstructed the phylogeny of
eukaryotes using complete 18S rDNA sequences and their individual secondary structures simultaneously. After the sequence-structure data was encoded, it was automatically aligned and analyzed using sequence-only as well as sequence-structure approaches. We present overall neighbor-joining trees of 211
eukaryotes as well as the respective profile neighbor-joining trees, which helped to resolve the basal branching pattern. A manually chosen subset was further inspected using neighbor-joining, maximum parsimony, and maximum likelihood analyses. Additionally, the 75 and 100 percent consensus structures of the subset were predicted.
RESULTS: All sequence-structure approaches show improvements compared to the respective sequence-only approaches: the average bootstrap support per node of the sequence-structure profile neighbor-joining analyses with 90.3, was higher than the average bootstrap support of the sequence-only profile neighbor-joining analysis with 73.9. Also, the subset analyses using sequence-structure data were better supported. Furthermore, more subgroups of the supergroups were recovered as monophyletic and sister group relations were much more comparable to results as obtained by multi-marker analyses.