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首页> 外文期刊>Royal Society Open Science >Detecting taxonomic and phylogenetic signals in equid cheek teeth: towards new palaeontological and archaeological proxies
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Detecting taxonomic and phylogenetic signals in equid cheek teeth: towards new palaeontological and archaeological proxies

机译:检测同等颊齿中的分类学和系统发育信号:寻求新的古生物学和考古学代理

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The Plio–Pleistocene evolution of Equus and the subsequent domestication of horses and donkeys remains poorly understood, due to the lack of phenotypic markers capable of tracing this evolutionary process in the palaeontological/archaeological record. Using images from 345 specimens, encompassing 15 extant taxa of equids, we quantified the occlusal enamel folding pattern in four mandibular cheek teeth with a single geometric morphometric protocol. We initially investigated the protocol accuracy by assigning each tooth to its correct anatomical position and taxonomic group. We then contrasted the phylogenetic signal present in each tooth shape with an exome-wide phylogeny from 10 extant equine species. We estimated the strength of the phylogenetic signal using a Brownian motion model of evolution with multivariate K statistic, and mapped the dental shape along the molecular phylogeny using an approach based on squared-change parsimony. We found clear evidence for the relevance of dental phenotypes to accurately discriminate all modern members of the genus Equus and capture their phylogenetic relationships. These results are valuable for both palaeontologists and zooarchaeologists exploring the spatial and temporal dynamics of the evolutionary history of the horse family, up to the latest domestication trajectories of horses and donkeys.
机译:由于古生物学/考古学记录中缺乏能够追踪这种进化过程的表型标记,因此对马的上皮细胞-更新世进化以及随后驯养的马和驴的了解仍然很少。使用来自345个标本的图像,其中包括15个现存的类群,我们使用单个几何形态计量学协议量化了四个下颌颊齿中的牙釉质折叠模式。我们最初通过将每个牙齿分配给其正确的解剖位置和分类学组来研究协议的准确性。然后,我们将每个牙齿形状中存在的系统发育信号与来自10种现存马类的全基因组范围内的系统发育进行了对比。我们使用具有多元K统计量的布朗运动进化模型估计了系统发生信号的强度,并使用基于平方变化简约性的方法沿分子系统发生来绘制牙齿形状。我们找到了明显的证据表明牙齿表型与准确区分马属的所有现代成员并捕获其系统发育关系的相关性。这些结果对于古生物学家和动物考古学家探索马族进化史以及最新的马和驴驯化轨迹的时空动态都是有价值的。

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