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Do Triplets Have Enough Information to Construct the Multi-Labeled Phylogenetic Tree?

机译:三联体是否具有足够的信息来构建多标签系统进化树?

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摘要

The evolutionary history of certain species such as polyploids are modeled by a generalization of phylogenetic trees called multi-labeled phylogenetic trees, or MUL trees for short. One problem that relates to inferring a MUL tree is how to construct the smallest possible MUL tree that is consistent with a given set of rooted triplets, or SMRT problem for short. This problem is NP-hard. There is one algorithm for the SMRT problem which is exact and runs in time, where is the number of taxa. In this paper, we show that the SMRT does not seem to be an appropriate solution from the biological point of view. Indeed, we present a heuristic algorithm named MTRT for this problem and execute it on some real and simulated datasets. The results of MTRT show that triplets alone cannot provide enough information to infer the true MUL tree. So, it is inappropriate to infer a MUL tree using triplet information alone and considering the minimum number of duplications. Finally, we introduce some new problems which are more suitable from the biological point of view.
机译:某些物种(如多倍体)的进化历史是通过将系统进化树(称为多标记系统发生树)简称为MUL树进行概括来建模的。与推断MUL树有关的一个问题是如何构建与给定的根三联体(简称SMRT)集一致的最小可能的MUL树。这个问题是NP难题。对于SMRT问题,有一种算法是精确的并且可以及时运行,其中的分类单元数是。在本文中,我们表明从生物学的角度来看,SMRT似乎不是合适的解决方案。确实,我们针对此问题提出了一种启发式算法MTRT,并在一些真实和模拟的数据集上执行了该算法。 MTRT的结果表明,仅三胞胎不能提供足够的信息来推断出真正的MUL树。因此,仅使用三元组信息并考虑重复的最小数量来推断MUL树是不合适的。最后,我们从生物学的角度介绍一些更适合的新问题。

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