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STRIDE: Species Tree Root Inference from Gene Duplication Events

机译:STRIDE:从基因复制事件推断物种树根

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摘要

The correct interpretation of any phylogenetic tree is dependent on that tree being correctly rooted. We present STRIDE, a fast, effective, and outgroup-free method for identification of gene duplication events and species tree root inference in large-scale molecular phylogenetic analyses. STRIDE identifies sets of well-supported in-group gene duplication events from a set of unrooted gene trees, and analyses these events to infer a probability distribution over an unrooted species tree for the location of its root. We show that STRIDE correctly identifies the root of the species tree in multiple large-scale molecular phylogenetic data sets spanning a wide range of timescales and taxonomic groups. We demonstrate that the novel probability model implemented in STRIDE can accurately represent the ambiguity in species tree root assignment for data sets where information is limited. Furthermore, application of STRIDE to outgroup-free inference of the origin of the eukaryotic tree resulted in a root probability distribution that provides additional support for leading hypotheses for the origin of the eukaryotes.
机译:任何系统发育树的正确解释都取决于该树是否正确扎根。我们提出了STRIDE,这是一种快速、有效且无外群的方法,用于在大规模分子系统发育分析中识别基因复制事件和物种树根推断。STRIDE 从一组无根基因树中识别出一组得到良好支持的组内基因复制事件,并分析这些事件以推断无根物种树上其根位置的概率分布。我们表明,STRIDE在跨越广泛的时间尺度和分类组的多个大规模分子系统发育数据集中正确地识别了物种树的根。我们证明了在STRIDE中实现的新概率模型可以准确地表示信息有限的数据集的物种树根分配的模糊性。此外,将STRIDE应用于真核生物起源的无群推断导致了根概率分布,为真核生物起源的主要假设提供了额外的支持。

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