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Fast computation of compatibility for phylogenies with nested taxa

机译:快速计算嵌套类群系统发育的相容性

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摘要

Typically, supertree methods combine a collection of source trees in which just the leaves are labelled by taxa. In such methods the resulting supertree is also leaf-labelled. An underlying assumption in these methods is that, across all trees in the collection, no two of the taxa are nested; for example, "buttercups" and "plants" are nested taxa. Motivated by Page, the first supertree algorithm for allowing the source trees to collectively have nested taxa is called ANCESTRALBUILD. Here, in addition to taxa labelling the leaves, the source trees may have taxa labelling some of their interior nodes. Taxa labelling interior nodes are at a higher taxonomic level than that of their descendants (for example, genera versus species). Analogous to the supertree method BUILD for deciding the compatibility of a collection of source trees in which just the leaves are labelled, ANCESTRALBUILD is a polynomial-time algorithm for deciding the compatibility of a collection of source trees in which some of the interior nodes are also labelled by taxa. Although a more general method, in this paper we show that the original description of ANCESTRALBUILD can be modified so that the running time is as fast as the current fastest running time for BUILD. Fast computation for deciding compatibility is essential if one is to make use of phylogenetic databases that contain hundreds of trees on thousands of taxa. This is particularly so as ANCESTRALBUILD is incorporated as a basic tool inside more general supertree methods.
机译:通常,超级树方法结合了源树的集合,其中只有叶子被分类单元标记。在这种方法中,生成的树也被标记为叶子。这些方法的基本假设是,在集合中的所有树上,没有两个分类单元嵌套。例如,“毛utter”和“植物”是嵌套的类群。受Page启发,第一个允许源树共同具有嵌套分类单元的超级树算法称为ANCESTRALBUILD。在这里,除了分类单元标记叶子之外,源树还可能具有分类单元标记它们的一些内部节点。分类单元标记内部节点的分类级别高于其后代的分类级别(例如,属与种)。类似于用于确定仅标记叶子的源树集合的兼容性的超级树方法BUILD,ANCESTRALBUILD是用于确定源树集合的兼容性的多项式时间算法,其中一些内部节点也位于其中用分类单元标记。尽管这是一种更通用的方法,但是在本文中,我们表明可以修改ANCESTRALBUILD的原始描述,以使运行时间与BUILD的当前最快运行时间一样快。如果要使用包含数千个分类单元上的数百棵树的系统发育数据库,则快速计算对于确定兼容性至关重要。尤其是将ANCESTRALBUILD作为基本工具合并到更通用的超级树方法中。

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