排序树子网络的空间。

IF 2.3 4区 数学 Q2 BIOLOGY
Vincent Moulton, Andreas Spillner
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引用次数: 0

摘要

排名树-子网络是最近引入的一类根系统发生网络,其中网络所代表的进化事件是有序的,以便尊重时间的流动。这一类包括经过充分研究的分级系统发育树(也称为分级谱系)。系统发育分析中的一个重要问题是确定系统发育树和网络之间的距离,以便系统地比较它们。在排序二叉系统发育树上定义了不同的距离,但对比较排序树-子网络知之甚少。本文提出了一种比较同一叶集中二叉排序树子网络的方法,这种方法是基于二叉排序树子网络的一种新的编码,这种编码是根据一定的偏序集给出的。这允许我们定义两个新的排序二叉树子网络空间。第一个空间可以看作是最近引入的排序二叉系统发育树空间的推广,排序二叉系统发育树的距离由排序最近邻交换移动来定义。第二个空间是一个连续空间,它捕获了所有等距树子网络,并推广了超度量树的空间。特别地,我们证明了这个连续空间是一个所谓的CAT(0)-正交空间,例如,这意味着两个等距树子网络之间的距离可以有效地计算出来。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Spaces of ranked tree-child networks.

Spaces of ranked tree-child networks.

Spaces of ranked tree-child networks.

Spaces of ranked tree-child networks.

Ranked tree-child networks are a recently introduced class of rooted phylogenetic networks in which the evolutionary events represented by the network are ordered so as to respect the flow of time. This class includes the well-studied ranked phylogenetic trees (also known as ranked genealogies). An important problem in phylogenetic analysis is to define distances between phylogenetic trees and networks in order to systematically compare them. Various distances have been defined on ranked binary phylogenetic trees, but very little is known about comparing ranked tree-child networks. In this paper, we introduce an approach to compare binary ranked tree-child networks on the same leaf set that is based on a new encoding of such networks that is given in terms of a certain partially ordered set. This allows us to define two new spaces of ranked binary tree-child networks. The first space can be considered as a generalization of the recently introduced space of ranked binary phylogenetic trees whose distance is defined in terms of ranked nearest neighbor interchange moves. The second space is a continuous space that captures all equidistant tree-child networks and generalizes the space of ultrametric trees. In particular, we show that this continuous space is a so-called CAT(0)-orthant space which, for example, implies that the distance between two equidistant tree-child networks can be efficiently computed.

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来源期刊
CiteScore
3.30
自引率
5.30%
发文量
120
审稿时长
6 months
期刊介绍: The Journal of Mathematical Biology focuses on mathematical biology - work that uses mathematical approaches to gain biological understanding or explain biological phenomena. Areas of biology covered include, but are not restricted to, cell biology, physiology, development, neurobiology, genetics and population genetics, population biology, ecology, behavioural biology, evolution, epidemiology, immunology, molecular biology, biofluids, DNA and protein structure and function. All mathematical approaches including computational and visualization approaches are appropriate.
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