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基于模型的系统发育分析比简约法表现更好吗?一项实证数据测试。

Do model-based phylogenetic analyses perform better than parsimony? A test with empirical data.

作者信息

Rindal Eirik, Brower Andrew V Z

出版信息

Cladistics. 2011 Jun;27(3):331-334. doi: 10.1111/j.1096-0031.2010.00342.x. Epub 2010 Nov 16.

Abstract

The use of model-based methods to infer a phylogenetic tree from a given data set is frequently motivated by the truism that under certain circumstances the parsimony approach (MP) may produce incorrect topologies, while explicit model-based approaches are believed to avoid this problem. In the realm of empirical data from actual taxa, it is not known (or knowable) how commonly MP, maximum-likelihood or Bayesian inference are inaccurate. To test the perceived need for "sophisticated" model-based approaches, we assessed the degree of congruence between empirical phylogenetic hypotheses generated by alternative methods applied to DNA sequence data in a sample of 1000 recently published articles. Of 504 articles that employed multiple methods, only two exhibited strongly supported incongruence among alternative methods. This result suggests that the MP approach does not produce deviant hypotheses of relationship due to convergent evolution in long branches. Our finding therefore indicates that the use of multiple analytical methods is largely superfluous. We encourage the use of analytical approaches unencumbered by ad hoc assumptions that sap the explanatory power of the evidence. © The Willi Hennig Society 2010.

摘要

使用基于模型的方法从给定数据集中推断系统发育树,其动机通常源于这样一个不言而喻的事实:在某些情况下,简约法(MP)可能会产生错误的拓扑结构,而基于明确模型的方法则被认为可以避免这个问题。在来自实际分类群的经验数据领域,尚不清楚(或无法得知)MP、最大似然法或贝叶斯推断不准确的频率有多高。为了检验对“复杂的”基于模型的方法的感知需求,我们评估了在1000篇最近发表的文章样本中,应用于DNA序列数据的替代方法所产生的经验系统发育假设之间的一致程度。在采用多种方法的504篇文章中,只有两篇在替代方法之间表现出强烈支持的不一致性。这一结果表明,MP方法不会因长分支中的趋同进化而产生异常的关系假设。因此,我们的发现表明,使用多种分析方法在很大程度上是多余的。我们鼓励使用不受特殊假设束缚的分析方法,这些假设会削弱证据的解释力。© 威利·亨尼格学会2010年。

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