Characterising rooted and unrooted tree-child networks

Janosch Döcker, Simone Linz
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引用次数: 0

Abstract

Rooted phylogenetic networks are used by biologists to infer and represent complex evolutionary relationships between species that cannot be accurately explained by a phylogenetic tree. Tree-child networks are a particular class of rooted phylogenetic networks that has been extensively investigated in recent years. In this paper, we give a novel characterisation of a tree-child network $\mathcal{R}$ in terms of cherry-picking sequences that are sequences on the leaves of $\mathcal{R}$ and reduce it to a single vertex by repeatedly applying one of two reductions to its leaves. We show that our characterisation extends to unrooted tree-child networks which are mostly unexplored in the literature and, in turn, also offers a new approach to settling the computational complexity of deciding if an unrooted phylogenetic network can be oriented as a rooted tree-child network.
有根和无根树状子网络的特征
根系系统发育网络被生物学家用来推断和表示物种之间复杂的进化关系,这些关系无法用系统发育树来准确解释。树子网络是近年来被广泛研究的一类根系系统发育网络。在本文中,我们给出了树子网络$\mathcal{R}$的一个新特征,即樱桃采摘序列是$\mathcal{R}$叶子上的序列,并通过对其叶子重复应用两种还原方法中的一种,将其还原为单个顶点。我们证明,我们的特征描述可以扩展到文献中大多未曾探讨过的无根树子网络,反过来,也为解决决定一个无根系统发育网络是否可以定向为一个有根树子网络的计算复杂性提供了一种新方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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