Institute of Marine Science and Technology, Shandong University, Qingdao, China.
Laboratory for Marine Biology and Biotechnology, Qingdao Marine Science and Technology Center, Qingdao, China.
PLoS Biol. 2024 Sep 16;22(9):e3002794. doi: 10.1371/journal.pbio.3002794. eCollection 2024 Sep.
Ancient divergences within Opisthokonta-a major lineage that includes organisms in the kingdoms Animalia, Fungi, and their unicellular relatives-remain contentious. To assess progress toward a genome-scale Opisthokonta phylogeny, we conducted the most taxon rich phylogenomic analysis using sets of genes inferred with different orthology inference methods and established the geological timeline of Opisthokonta diversification. We also conducted sensitivity analysis by subsampling genes or taxa from the full data matrix based on filtering criteria previously shown to improve phylogenomic inference. We found that approximately 85% of internal branches were congruent across data matrices and the approaches used. Notably, the use of different orthology inference methods was a substantial contributor to the observed incongruence: analyses using the same set of orthologs showed high congruence of 97% to 98%, whereas different sets of orthologs resulted in somewhat lower congruence (87% to 91%). Examination of unicellular Holozoa relationships suggests that the instability observed across varying gene sets may stem from weak phylogenetic signals. Our results provide a comprehensive Opisthokonta phylogenomic framework that will be useful for illuminating ancient evolutionary episodes concerning the origin and diversification of the 2 major eukaryotic kingdoms and emphasize the importance of investigating effects of orthology inference on phylogenetic analyses to resolve ancient divergences.
后生动物界(包括动物界和真菌界及其单细胞亲属等主要谱系)内的古老分歧仍然存在争议。为了评估在后生动物系统发育基因组学方面的进展,我们使用不同的同源推断方法推断的基因集进行了最具分类群丰富度的系统基因组分析,并建立了后生动物多样化的地质时间线。我们还根据先前显示可改善系统基因组推断的过滤标准,通过从全数据矩阵中抽样基因或分类群来进行敏感性分析。我们发现,大约 85%的内部分支在数据矩阵和使用的方法中是一致的。值得注意的是,不同同源推断方法的使用是观察到的不一致的主要原因:使用相同的同源基因集的分析显示出 97%到 98%的高度一致性,而不同的同源基因集则导致了稍低的一致性(87%到 91%)。对单细胞真后生动物关系的研究表明,在不同基因集中观察到的不稳定性可能源于较弱的系统发育信号。我们的研究结果提供了一个全面的后生动物系统基因组学框架,这将有助于阐明与 2 个主要真核生物界的起源和多样化有关的古代进化事件,并强调了研究同源推断对解决古老分歧的系统发育分析的影响的重要性。