Department of Geology and Geophysics, Yale University, 210 Whitney Avenue, New Haven, CT, 06511, USA; Department of Vertebrate Zoology, National Museum of Natural History, Smithsonian Institution, Washington, DC, 20560, USA.
Evol Dev. 2014 Jul-Aug;16(4):189-96. doi: 10.1111/ede.12081. Epub 2014 May 5.
Understanding the phylogenetic position of crown turtles (Testudines) among amniotes has been a source of particular contention. Recent morphological analyses suggest that turtles are sister to all other reptiles, whereas the vast majority of gene sequence analyses support turtles as being inside Diapsida, and usually as sister to crown Archosauria (birds and crocodilians). Previously, a study using microRNAs (miRNAs) placed turtles inside diapsids, but as sister to lepidosaurs (lizards and Sphenodon) rather than archosaurs. Here, we test this hypothesis with an expanded miRNA presence/absence dataset, and employ more rigorous criteria for miRNA annotation. Significantly, we find no support for a turtle + lepidosaur sister-relationship; instead, we recover strong support for turtles sharing a more recent common ancestor with archosaurs. We further test this result by analyzing a super-alignment of precursor miRNA sequences for every miRNA inferred to have been present in the most recent common ancestor of tetrapods. This analysis yields a topology that is fully congruent with our presence/absence analysis; our results are therefore in accordance with most gene sequence studies, providing strong, consilient molecular evidence from diverse independent datasets regarding the phylogenetic position of turtles.
了解冠海龟(龟鳖目)在羊膜动物中的系统发育位置一直是一个特别有争议的问题。最近的形态学分析表明,海龟与所有其他爬行动物是姐妹群关系,而绝大多数基因序列分析则支持海龟是在双孔亚纲(鸟类和鳄鱼)内部,通常与主龙形下纲(鸟类和鳄鱼)是姐妹群关系。以前,一项使用 microRNAs(miRNAs)的研究将海龟置于双孔亚纲内,但与鳞龙类(蜥蜴和楔齿蜥)而不是主龙类(鸟类和鳄鱼)是姐妹群关系。在这里,我们使用扩展的 miRNA 存在/缺失数据集来检验这一假设,并采用更严格的 miRNA 注释标准。重要的是,我们没有发现支持海龟和鳞龙类是姐妹群关系的证据;相反,我们发现强烈支持海龟与主龙类有更近的共同祖先。我们通过分析每个被推断为存在于四足动物最近共同祖先的 miRNA 的前体 miRNA 序列的超级对齐来进一步检验这一结果。该分析产生的拓扑结构与我们的存在/缺失分析完全一致;因此,我们的结果与大多数基因序列研究一致,为海龟的系统发育位置提供了来自不同独立数据集的强有力的、一致的分子证据。