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Coalescent methods for estimating phylogenetic trees

机译:估计系统发生树的合并方法

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We review recent models to estimate phylogenetic trees under the multispecies coalescent. Although the distinction between gene trees and species trees has come to the fore of phylogenetics, only recently have methods been developed that explicitly estimate species trees. Of the several factors that can cause gene tree heterogeneity and discordance with the species tree, deep coalescence due to random genetic drift in branches of the species tree has been modeled most thoroughly. Bayesian approaches to estimating species trees utilizes two likelihood functions, one of which has been widely used in traditional phylogenetics and involves the model of nucleotide substitution, and the second of which is less familiar to phylogeneticists and involves the probability distribution of gene trees given a species tree. Other recent parametric and nonparametric methods for estimating species trees involve parsimony criteria, summary statistics, supertree and consensus methods. Species tree approaches are an appropriate goal for systematics, appear to work well in some cases where concatenation can be misleading, and suggest that sampling many independent loci will be paramount. Such methods can also be challenging to implement because of the complexity of the models and computational time. In addition, further elaboration of the simplest of coalescent models will be required to incorporate commonly known issues such as deviation from the molecular clock, gene flow and other genetic forces.
机译:我们审查最近的模型,以估计在多物种合并下的系统发育树。尽管基因树和物种树之间的区别已成为系统发生学的重要内容,但直到最近才开发出明确估计物种树的方法。在可能导致基因树异质性和与物种树不一致的几种因素中,对物种树分支中随机遗传漂移导致的深度合并已进行了最全面的建模。贝叶斯估计物种树的方法利用了两种似然函数,其中一种已在传统的系统发育学中广泛使用,涉及核苷酸取代的模型,而第二种对于系统进化论者来说并不那么熟悉,并且涉及给定物种的基因树的概率分布。树。其他最近的用于估计树种的参数和非参数方法涉及简约标准,摘要统计,超树和共识方法。物种树方法是系统研究的适当目标,似乎在级联可能产生误导的某些情况下效果很好,并建议对许多独立的基因座进行采样将是最重要的。由于模型的复杂性和计算时间,实施此类方法也可能具有挑战性。此外,将需要进一步阐述最简单的合并模型,以纳入众所周知的问题,例如与分子钟的偏离,基因流和其他遗传力。

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