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Using the BirdTree.org website to obtain robust phylogenies for avian comparative studies: A primer

机译:使用BirdTree.org网站获得用于鸟类比较研究的稳固系统发育:入门

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摘要

Comparative studies of trait evolution require accounting for the shared evolutionary history. This is done by including phylogenetic hypotheses into statistical analyses of species’ traits, for which birds often serve as excellent models. The online publication of the most complete molecular phylogeny of extant bird species ( , BirdTree hereafter) now allows evolutionary biologists to rapidly obtain sets of equally plausible phylogenetic trees for any set of species to be incorporated as a phylogenetic hypothesis in comparative analyses. We discuss methods to use BirdTree tree sets for comparative studies, either by building a consensus tree that can be incorporated into standard comparative analyses, or by using tree sets to account for the effect of phylogenetic uncertainty. Methods accounting for phylogenetic uncertainty should be preferred whenever possible because they should provide more reliable parameter estimates and realistic confidence intervals around them. Based on a real comparative dataset, we ran simulations to investigate the effect of variation in the size of the random tree sets downloaded from BirdTree on the variability of parameter estimates from a bivariate relationship between mass-specific productivity and body mass. Irrespective of the method of analysis, using at least 1,000 trees allows obtaining parameter estimates with very small (< 0.15%) coefficients of variation. We argue that BirdTree, due to the ease of use and the major advantages over previous ‘traditional’ methods to obtain phylogenetic hypotheses of bird species (e.g. supertrees or manual coding of published phylogenies), will become the standard reference in avian comparative studies for years to come.
机译:性状进化的比较研究需要考虑共同的进化史。这是通过将系统发育假设包括在物种特征的统计分析中来完成的,鸟类通常将其作为出色的模型。现存鸟类的最完整分子系统发育的在线出版物(以下简称BirdTree)现在使进化生物学家能够快速获取适用于任何种类物种的同等系统发育树的集合,以将其作为系统发育假说纳入比较分析。我们讨论了使用BirdTree树集进行比较研究的方法,方法是建立可以纳入标准比较分析的共识树,或者使用树集说明系统发育不确定性的影响。尽可能考虑系统发育不确定性的方法,因为它们应提供更可靠的参数估计值和围绕它们的实际置信区间。基于真实的比较数据集,我们进行了仿真,以研究从BirdTree下载的随机树集的大小变化对特定质量生产率与体重之间的双变量关系对参数估计值的变化的影响。不管使用哪种分析方法,至少使用1,000棵树都可以获取具有很小(<0.15%)变异系数的参数估计。我们认为,由于BirdTree的易用性和相对于以前的“传统”方法(获得鸟类物种的系统发育假设)(例如,已发表的系统发育树的超级树或人工编码)的主要优势,将成为多年来禽类比较研究的标准参考来。

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