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CALCULATING THE PROBABILITY OF MULTITAXON EVOLUTIONARY TREES - BOOTSTRAPPERS GAMBIT

机译:计算多子级进化树-引导者千兆网的概率。

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摘要

The reconstruction of multitaxon trees from molecular sequences is confounded by the variety of algorithms and criteria used to evaluate trees, making it difficult to compare the results of different analyses. A global method of multitaxon phylogenetic reconstruction described here, Bootstrappers Gambit, can be used with any four-taxon algorithm, including distance, maximum likelihood, and parsimony methods, It incorporates a Bayesian-Jeffreys'-bootstrap analysis to provide a uniform probability-based criterion for comparing the results from diverse algorithms. To examine the usefulness of the method, the origin of the eukaryotes has been investigated by the analysis of ribosomal small subunit RNA sequences, Three common algorithms (paralinear distances, Jukes-Cantor distances, and Kimura distances) support the eocyte topology, whereas one (maximum parsimony) supports the archaebacterial topology, suggesting that the eocyte prokaryotes are the closest prokaryotic relatives of the eukaryotes. [References: 34]
机译:从分子序列重建多分类群树被用于评估树的各种算法和标准所混淆,这使得比较不同分析结果变得困难。 Bootstrappers Gambit是这里介绍的一种多分类群系统发育重建的全局方法,可与任何四分类群算法一起使用,包括距离,最大似然和简约方法,该方法结合了贝叶斯-杰弗里斯-bootstrap分析以提供基于概率的统一比较各种算法结果的标准。为了检验该方法的有效性,已通过分析核糖体小亚基RNA序列研究了真核生物的起源。三种常见算法(平行线性距离,Jukes-Cantor距离和Kimura距离)支持细胞形态,而一种(最大简约性)支持古细菌的拓扑结构,这表明卵母细胞是原核生物中最接近的原核生物。 [参考:34]

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