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A Venturi Effect Can Help Cure Our Trees
Published on: October 1, 2013
Finding a most parsimonious or likely tree in a network with respect to an alignment
Steven Kelk1, Fabio Pardi2, Celine Scornavacca3
1Department of Data Science and Knowledge Engineering (DKE), Maastricht University, P.O. Box 616, 6200 MD, Maastricht, The Netherlands. steven.kelk@maastrichtuniversity.nl.
Abstract:
Phylogenetic networks are often constructed by merging multiple conflicting phylogenetic signals into a directed acyclic graph. It is interesting to explore whether a network constructed in this way induces biologically-relevant phylogenetic signals that were not present in the input. Here we show that, given a multiple alignment A for a set of taxa X and a rooted phylogenetic network N whose leaves are labelled by X, it is NP-hard to locate a most parsimonious phylogenetic tree displayed by N (with respect to A) even when the level of N-the maximum number of reticulation nodes within a biconnected component-is 1 and A contains only 2 distinct states. (If, additionally, gaps are allowed the problem becomes APX-hard.) We also show that under the same conditions, and assuming a simple binary symmetric model of character evolution, finding a most likely tree displayed by the network is NP-hard. These negative results contrast with earlier work on parsimony in which it is shown that if A consists of a single column the problem is fixed parameter tractable in the level. We conclude with a discussion of why, despite the NP-hardness, both the parsimony and likelihood problem can likely be well-solved in practice.
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