On the quirks of maximum parsimony and likelihood on phylogenetic networks. (21st March 2017)

• Record Type: Journal Article
• Authors: Bryant, Christopher; Fischer, Mareike; Linz, Simone; Semple, Charles
• Is Part Of: Journal of theoretical biology. Volume 417(2017)
• Page Start: 100
• Page End: 108
• Publication Date: 2017-03-21
• Subjects: Hardwired -- Likelihood -- Parsimony -- Phylogenetic networks -- Softwired; Biology -- Periodicals; Biological Science Disciplines -- Periodicals; Biology -- Periodicals; Biologie -- Périodiques; Theoretische biologie; Biology; Periodicals; 571.05
• DOI: 10.1016/j.jtbi.2017.01.013
• Languages: English
• ISSNs: 0022-5193

Abstract

Abstract: Maximum parsimony is one of the most frequently-discussed tree reconstruction methods in phylogenetic estimation. However, in recent years it has become more and more apparent that phylogenetic trees are often not sufficient to describe evolution accurately. For instance, processes like hybridization or lateral gene transfer that are commonplace in many groups of organisms and result in mosaic patterns of relationships cannot be represented by a single phylogenetic tree. This is why phylogenetic networks, which can display such events, are becoming of more and more interest in phylogenetic research. It is therefore necessary to extend concepts like maximum parsimony from phylogenetic trees to networks. Several suggestions for possible extensions can be found in recent literature, for instance the softwired and the hardwired parsimony concepts. In this paper, we analyze the so-called big parsimony problem under these two concepts, i.e. we investigate maximum parsimonious networks and analyze their properties. In particular, we show that finding a softwired maximum parsimony network is possible in polynomial time. We also show that the set of maximum parsimony networks for the hardwired definition always contains at least one phylogenetic tree. Lastly, we investigate some parallels of parsimony to different likelihood concepts on phylogenetic networks. Abstract : Highlights: We analyze properties of most parsimonious phylogenetic networks under two notions of parsimony. Softwired most parsimonious networks are overly complex and can be constructed without looking at the data. In contrast, hardwired most parsimonious networks are overly simple. We investigate some parallels of parsimony to different likelihood concepts on phylogenetic networks. Equivalence between parsimony and likelihood on networks only holds for pseudo-likelihood functions.