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Simultaneous detection of macroevolutionary patterns in phenotypic means and rate of change with and within phylogenetic trees including extinct species

机译:系统发育树及其内部(包括灭绝物种)同时检测表型均值和变化速率的宏观进化模式

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摘要

Recognizing evolutionary trends in phenotypic means and rates requires the application of phylogenetic comparative methods (PCMs). Most PCMs are unsuited to make full use of fossil information, which is a drawback, given the inclusion of such data improves, and in some cases even corrects, the proper understanding of trait evolution. Here we present a new computer application, written in R, that allows the simultaneous computation of temporal trends in phenotypic mean and evolutionary rate along a phylogeny, and to contrast such patterns among different clades within the tree.By using simulation experiments, we show the new implementation, names search.trend is as powerful as existing PCM tools in discerning macroevolutionary patterns in phenotypic means and rates, but differently from any other PCM allows comparing individual clades to each other, and provides rich information about trait evolution for all lineages in the tree.
机译:认识到表型均值和速率的进化趋势需要应用系统发育比较方法(PCM)。大多数PCM不适合充分利用化石信息,这是一个缺点,因为包含这样的数据可以改善,甚至在某些情况下可以纠正对性状进化的正确理解。在这里,我们介绍了一个用R编写的新计算机应用程序,该应用程序可以同时计算系统发育表型平均值和进化速率的时间趋势,并对比树内不同进化枝之间的这种模式。在新的实现方式中,名称search.trend具有与现有PCM工具一样强大的功能,能够以表型均值和速率识别宏观进化模式,但与其他PCM有所不同,它允许彼此比较各个进化枝,并提供有关所有系谱系进化的丰富信息。树。

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