Inferring Phylogenetic Networks Using PhyloNet. (5th March 2018)

• Record Type: Journal Article
• Authors: Wen, Dingqiao; Yu, Yun; Zhu, Jiafan; Nakhleh, Luay
• Editors: Posada, David
• Is Part Of: Systematic biology. Volume 67:Number 4(2018:Aug.)
• Page Start: 735
• Page End: 740
• Publication Date: 2018-03-05
• Subjects: Bayesian inference -- incomplete lineage sorting -- maximum likelihood -- maximum parsimony -- multispecies network coalescent -- phylogenetic networks -- reticulation; Biology -- Classification -- Periodicals; Biology -- Periodicals; Biologie -- Classification -- Périodiques; Biologie -- Périodiques; 578.012
• DOI: 10.1093/sysbio/syy015
• Languages: English
• ISSNs: 1063-5157

Abstract

Abstract: PhyloNet was released in 2008 as a software package for representing and analyzing phylogenetic networks. At the time of its release, the main functionalities in PhyloNet consisted of measures for comparing network topologies and a single heuristic for reconciling gene trees with a species tree. Since then, PhyloNet has grown significantly. The software package now includes a wide array of methods for inferring phylogenetic networks from data sets of unlinked loci while accounting for both reticulation (e.g., hybridization) and incomplete lineage sorting. In particular, PhyloNet now allows for maximum parsimony, maximum likelihood, and Bayesian inference of phylogenetic networks from gene tree estimates. Furthermore, Bayesian inference directly from sequence data (sequence alignments or biallelic markers) is implemented. Maximum parsimony is based on an extension of the "minimizing deep coalescences" criterion to phylogenetic networks, whereas maximum likelihood and Bayesian inference are based on the multispecies network coalescent. All methods allow for multiple individuals per species. As computing the likelihood of a phylogenetic network is computationally hard, PhyloNet allows for evaluation and inference of networks using a pseudolikelihood measure. PhyloNet summarizes the results of the various analyzes and generates phylogenetic networks in the extended Newick format that is readily viewable by existing visualization software.