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JOURNEYS THROUGH DISCRETE-CHARACTER MORPHOSPACE: SYNTHESIZING PHYLOGENY, TEMPO, AND DISPARITY

机译:通过离散性的形态学的旅程:合成系统发育,节奏和差距

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摘要

Palaeontologists have long employed discrete categorical data to capture morphological variation in fossil species, using the resulting character-taxon matrices to measure evolutionary tempo, infer phylogenies and capture morphological disparity. However, to date these have been seen as separate approaches despite a common goal of understanding morphological evolution over deep time. Here I argue that there are clear advantages to considering these three lines of enquiry in a single space: the phylomorphospace. Conceptually these high-dimensional spaces capture how a phylogenetic tree explores morphospace and allow us to consider important process questions around evolutionary rates, constraints, convergence and directional trends. Currently the literature contains fundamentally different approaches used to generate such spaces, with no direct comparison between them, despite the differing evolutionary histories they imply. Here I directly compare five different phylomorphospace approaches, three with direct literature equivalents and two that are novel. I use a single empirical case study of coelurosaurian theropod dinosaurs (152 taxa, 853 characters) to show that under many analyses the literature-derived approaches tend to reflect introduced phylogenetic (rather than the intended morphological) signal. The two novel approaches, which produce limited ancestral state estimates prior to ordination, are able to minimize this phylogenetic signal and thus exhibit more realistic amounts of phylogenetic signal, rate heterogeneity, and convergent evolution.
机译:古生物学家长期使用离散的分类数据,以捕获化石物种的形态变化,使用所产生的性格 - 分类矩阵来测量进化节奏,推断理理和捕获形态差异。然而,迄今为止,尽管在深度时间内实现了形态学的共同目标,但这些已经被视为单独的方法。在这里,我认为在一个空间中考虑这三条询问,有明显的优势:讲解讲座。概念上,这些高维空间捕获了系统发育树如何探讨形态学,并允许我们考虑进化率,限制,收敛和定向趋势的重要过程问题。目前,文献含有基本上不同的方法,用于生成这些空间,并且它们之间没有直接比较,尽管它们意味着不同的进化历史。在这里,我直接比较五种不同的讲解方法,三种不同的文学当量和两个是新颖的。我使用对Coelurosaurian Theropod恐龙(152个分类群,853个字符)的单一实证案例研究表明,在许多分析中,文献衍生的方法倾向于反映引入的系统发育(而不是预期的形态学)信号。在秩序之前产生有限的祖先状态估计的两种新方法能够最小化该系统发育信号,因此表现出更现实的系统发育信号,速率异质性和会聚进化。

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