Inferring perfect phylogenies with restrictions on character state transitions

J. Truszkowski, K. Giaro
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Abstract

One of the important problems in evolutionary biology is inferring phylogenetic trees for sets of related species. We introduce a new model for inferring phylogenies which is a generalization of the widely studied perfect phylogeny model. The perfect phylogeny model assumes that a feature shared by a set of species cannot have evolved independently in any two of the species in the set, i.e. the species with this feature form a subtree in the correct phylogenetic tree. We briefly review earlier similar results on this subject and describe the difference between our model and the ones previously investigated. It turns out that the problem of finding a perfect phylogeny with restrictions is NP-complete even if the number of characters is 2. This contrasts with the complexity of finding unrestricted perfect phylogenies. On the other hand, the new model shows similar properties to the classical perfect phylogeny model in case where the number of cycles in each state transition graph is bounded by a small constant.
在特征状态转换的限制下推断完美的系统发育
进化生物学中的一个重要问题是推断相关物种的系统发育树。我们介绍了一个新的推断系统发生的模型,该模型是广泛研究的完美系统发生模型的推广。完美系统发育模型假设一组物种共有的特征不可能在该集合中的任何两个物种中独立进化,即具有该特征的物种构成正确系统发育树的一个子树。我们简要回顾了关于这一主题的早期类似结果,并描述了我们的模型与先前研究的模型之间的差异。事实证明,即使字符数为2,寻找具有限制的完美系统发育的问题也是np完全的。这与寻找不受限制的完美系统发育的复杂性形成鲜明对比。另一方面,在每个状态转移图的循环数以一个小常数为界的情况下,新模型显示出与经典完美系统发育模型相似的性质。
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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