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arXiv 1908.08183math.COcs.DMq-bio.PE
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无根系统发育网络的一致性距离

The agreement distance of unrooted phylogenetic networks

Jonathan Klawitter

AI总结:

本文引入最大一致性图作为无根系统发育网络最大一致性森林的推广,证明其诱导的一致性距离虽不精确刻画TBR距离,但提供常数因子界限,并类似适用于PR操作。

摘要:

重排操作对系统发育网络进行小的图论改变,以将其转换为另一个网络。对于无根系统发育树和网络,常用的重排操作包括树二分与重连(TBR)和剪枝与嫁接(PR)(在树上称为子树剪枝与嫁接(SPR))。每种操作都在系统发育树和网络的集合上诱导一个度量。两棵无根系统发育树 $T$ 和 $T'$ 之间的 TBR 距离可以通过最大一致性森林来刻画,即以最少组件数覆盖 $T$ 和 $T'$ 的森林。这一刻画促进了固定参数可处理算法和近似算法的发展。在此,我们引入最大一致性图作为系统发育网络的最大一致性森林的推广。虽然一致性距离(由最大一致性图诱导的度量)不能刻画两个网络的 TBR 距离,但我们表明它仍然提供了 TBR 距离的常数因子界限。对于 PR,我们在最大端点一致性图方面发现了类似的结果。

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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