无根系统发育网络的一致距离

J. Klawitter
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引用次数: 0

摘要

重排操作对一个系统发育网络进行一个小的图论改变,从而将其转换为另一个系统发育网络。对于无根的系统发育树和网络,常见的重排操作是树的分割和重连接(TBR)和树的剪枝和再嫁接(PR)(称为树的子树剪枝和再嫁接(SPR))。每一种操作都会在系统发育树和网络的集合上产生一个度量。两棵无根系统发育树$T$和$T'$之间的tbr距离可以用一个最大一致森林来表征,即一个具有最小数量的成分的森林,以某种方式覆盖$T$和$T'$。这种特性促进了固定参数可处理算法和近似算法的发展。在这里,我们引入最大一致图作为系统发育网络的最大一致林的推广。虽然一致距离(由最大一致图引起的度量)不能表征两个网络的tbr距离,但我们表明它仍然提供了tbr距离的常因子界限。在最大端点协议图方面,我们发现PR的类似结果。
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The agreement distance of unrooted phylogenetic networks
A rearrangement operation makes a small graph-theoretical change to a phylogenetic network to transform it into another one. For unrooted phylogenetic trees and networks, popular rearrangement operations are tree bisection and reconnection (TBR) and prune and regraft (PR) (called subtree prune and regraft (SPR) on trees). Each of these operations induces a metric on the sets of phylogenetic trees and networks. The TBR-distance between two unrooted phylogenetic trees $T$ and $T'$ can be characterised by a maximum agreement forest, that is, a forest with a minimum number of components that covers both $T$ and $T'$ in a certain way. This characterisation has facilitated the development of fixed-parameter tractable algorithms and approximation algorithms. Here, we introduce maximum agreement graphs as a generalisations of maximum agreement forests for phylogenetic networks. While the agreement distance -- the metric induced by maximum agreement graphs -- does not characterise the TBR-distance of two networks, we show that it still provides constant-factor bounds on the TBR-distance. We find similar results for PR in terms of maximum endpoint agreement graphs.
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