...
首页> 外文期刊>Journal of Mathematical Biology >Co-divergence and tree topology
【24h】

Co-divergence and tree topology

机译:共同分歧和树拓扑

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

In reconstructing the common evolutionary history of hosts and parasites, the current method of choice is the phylogenetic tree reconciliation. In this model, we are given a host tree H, a parasite tree P, and a function sigma mapping the leaves of P to the leaves of H and the goal is to find, under some biologically motivated constraints, a reconciliation, that is a function from the vertices of P to the vertices of H that respects sigma and allows the identification of biological events such as co-speciation, duplication and host switch. The maximum co-divergence problem consists in finding the maximum number of co-speciations in a reconciliation. This problem is NP-hard for arbitrary phylogenetic trees and no approximation algorithm is known. In this paper we consider the influence of tree topology on the maximum co-divergence problem. In particular we focus on a particular tree structure, namely caterpillar, and show that-in this case-the heuristics that are mostly used in the literature provide solutions that can be arbitrarily far from the optimal value. Then, we prove that finding the max co-divergence is equivalent to compute the maximum length of a subsequence with certain properties of a given permutation. This equivalence leads to two consequences: (1) it shows that we can compute efficiently in polynomial time the optimal time-feasible reconciliation and (2) it can be used to understand how much the tree topology influences the value of the maximum number of co-speciations.
机译:在重建宿主和寄生虫的常见进化历史中,目前的选择方法是系统发育树和解。在这个模型中,我们被给予了一个宿主树H,寄生虫树P和一个函数sigma将p的叶子映射到h的叶子,目标是在一些生物学上动机的约束下找到一个和解,这是一个从P的顶点的功能到尊重Sigma的H顶点,并允许识别生物事件,例如共模,复制和主机开关。最大共同发散问题包括找到和解中的最大共同规范数。对于任意系统发育树,该问题是NP - 难以知道近似算法。在本文中,我们考虑了树拓扑对最大共发电问题的影响。特别是我们专注于特定的树结构,即毛毛虫,并展示 - 在这种情况下,主要用于文献中的启发式提供可以任意远离最佳值的解决方案。然后,我们证明了找到最大共同发散相当于计算随后具有给定排列的某些特性的子序列的最大长度。此等价导致两次后果:(1)它表明我们可以在多项式时间中有效地计算最佳的时间可行性和解和(2)它可用于了解树拓扑的影响程度的最大数量的值 - 专业。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号