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首页> 外文期刊>Scientific reports. >Discrete and continuous character-based disparity analyses converge to the same macroevolutionary signal: a case study from captorhinids
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Discrete and continuous character-based disparity analyses converge to the same macroevolutionary signal: a case study from captorhinids

机译:基于离散字符和连续字符的视差分析收敛到相同的宏观进化信号:以己内酯为例的案例研究

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The relationship between diversity and disparity during the evolutionary history of a clade provides unique insights into evolutionary radiations and the biological response to bottlenecks and to extinctions. Here we present the first comprehensive comparison of diversity and disparity of captorhinids, a group of basal amniotes that is important for understanding the early evolution of high-fiber herbivory. A new fully resolved phylogeny is presented, obtained by the inclusion of 31 morphometric characters. The new dataset is used to calculate diversity and disparity through the evolutionary history of the clade, using both discrete and continuous characters. Captorhinids do not show a decoupling between diversity and disparity, and are characterized by a rather symmetric disparity distribution, with a peak in occupied morphospace at about the midpoint of the clade’s evolutionary history (Kungurian). This peak represents a delayed adaptive radiation, identified by the first appearance of several high-fiber herbivores in the clade, along with numerous omnivorous taxa. The discrete characters and continuous morphometric characters indicate the same disparity trends. Therefore, we argue that in the absence of one of these two possible proxies, the disparity obtained from just one source can be considered robust and representative of a general disparity pattern.
机译:进化枝进化史上多样性与差异之间的关系为进化辐射以及对瓶颈和灭绝的生物学反应提供了独特的见解。在这里,我们将首次对鸟笼类(Captorhinids)的多样性和差异进行全面的比较,鸟笼类是一组基础羊膜,对于了解高纤维草食动物的早期进化非常重要。提出了一个新的完全解决的系统发育,其中包括31个形态特征。新数据集用于通过进化的进化历史来计算多样性和差异,使用离散和连续特征。捕鲸蛛类动物没有表现出多样性和差异之间的脱钩,而是以相当对称的差异分布为特征,占据进化空间(Kungurian)中点的形态空间达到峰值。该峰代表延迟的适应性辐射,该特征由进化枝中几种高纤维食草动物的首次出现以及大量杂食性生物分类识别。离散字符和连续形态特征表示相同的视差趋势。因此,我们认为,在没有这两种可能的代理之一的情况下,仅从一个来源获得的差异就可以被认为是可靠的,并且可以代表一般的差异模式。

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