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将化石与分子系统发生关系相结合可以提高性状进化推断的准确性。

Integrating fossils with molecular phylogenies improves inference of trait evolution.

机构信息

Department of Ecology and Evolutionary Biology, University of California, 610 Charles E Young Drive South, Los Angeles, California 90095-1606, USA.

出版信息

Evolution. 2012 Dec;66(12):3931-44. doi: 10.1111/j.1558-5646.2012.01723.x. Epub 2012 Jul 10.

Abstract

Comparative biologists often attempt to draw inferences about tempo and mode in evolution by comparing the fit of evolutionary models to phylogenetic comparative data consisting of a molecular phylogeny with branch lengths and trait measurements from extant taxa. These kinds of approaches ignore historical evidence for evolutionary pattern and process contained in the fossil record. In this article, we show through simulation that incorporation of fossil information dramatically improves our ability to distinguish among models of quantitative trait evolution using comparative data. We further suggest a novel Bayesian approach that allows fossil information to be integrated even when explicit phylogenetic hypotheses are lacking for extinct representatives of extant clades. By applying this approach to a comparative dataset comprising body sizes for caniform carnivorans, we show that incorporation of fossil information not only improves ancestral state estimates relative to those derived from extant taxa alone, but also results in preference of a model of evolution with trend toward large body size over alternative models such as Brownian motion or Ornstein-Uhlenbeck processes. Our approach highlights the importance of considering fossil information when making macroevolutionary inference, and provides a way to integrate the kind of sparse fossil information that is available to most evolutionary biologists.

摘要

比较生物学家通常试图通过将进化模型与包含分支长度的分子系统发育和来自现存分类单元的特征测量的系统发育比较数据拟合,来推断进化的速度和模式。这些方法忽略了化石记录中包含的有关进化模式和过程的历史证据。在本文中,我们通过模拟表明,纳入化石信息可以极大地提高我们使用比较数据区分数量性状进化模型的能力。我们进一步提出了一种新颖的贝叶斯方法,即使对于现存类群的灭绝代表缺乏明确的系统发育假设,也允许整合化石信息。通过将这种方法应用于一个包含犬形食肉目动物体型的比较数据集,我们表明,纳入化石信息不仅可以提高相对于仅基于现存分类单元的祖先状态估计,而且还导致偏向于具有大型体型趋势的进化模型,而不是其他模型,如布朗运动或奥恩斯坦-乌伦贝克过程。我们的方法强调了在进行宏观进化推断时考虑化石信息的重要性,并提供了一种方法来整合大多数进化生物学家可用的那种稀疏的化石信息。

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