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Introducing TreeCollapse: a novel greedy algorithm to solve the cophylogeny reconstruction problem

机译:介绍TreeCollapse:解决贪心重建问题的新型贪心算法

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摘要

BackgroundCophylogeny mapping is used to uncover deep coevolutionary associations between two or more phylogenetic histories at a macro coevolutionary scale. As cophylogeny mapping is NP-Hard, this technique relies heavily on heuristics to solve all but the most trivial cases. One notable approach utilises a metaheuristic to search only a subset of the exponential number of fixed node orderings possible for the phylogenetic histories in question. This is of particular interest as it is the only known heuristic that guarantees biologically feasible solutions. This has enabled research to focus on larger coevolutionary systems, such as coevolutionary associations between figs and their pollinator wasps, including over 200 taxa. Although able to converge on solutions for problem instances of this size, a reduction from the current cubic running time is required to handle larger systems, such as Wolbachia and their insect hosts.
机译:背景技术系统进化映射用于在宏观协同进化规模上揭示两个或多个系统进化历史之间的深层协同进化关联。由于系统发生映射是NP-Hard,因此该技术在很大程度上依赖启发法来解决除最琐碎的情况以外的所有情况。一种值得注意的方法是利用元启发式算法来搜索可能的系统发生历史的固定节点排序指数数量的子集。这是特别令人感兴趣的,因为它是唯一一种可以保证生物学上可行的解决方案的启发式方法。这使研究能够集中于更大的协同进化系统,例如无花果与其授粉蜂之间的协同进化关联,其中包括200多个分类单元。尽管能够针对这种大小的问题实例收敛于解决方案,但是要处理较大的系统(例如Wolbachia及其昆虫宿主),需要比当前的立方运行时间减少。

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