A Bayesian Supertree Model for Genome-Wide Species Tree Reconstruction.

ABSTRACT: Current phylogenomic data sets highlight the need for species tree methods able to deal with several sources of gene tree/species tree incongruence. At the same time, we need to make most use of all available data. Most species tree methods deal with single processes of phylogenetic discordance, namely, gene duplication and loss, incomplete lineage sorting (ILS) or horizontal gene transfer. In this manuscript, we address the problem of species tree inference from multilocus, genome-wide data sets regardless of the presence of gene duplication and loss and ILS therefore without the need to identify orthologs or to use a single individual per species. We do this by extending the idea of Maximum Likelihood (ML) supertrees to a hierarchical Bayesian model where several sources of gene tree/spe

SUBMITTER: De Oliveira Martins L 

PROVIDER: S-EPMC4851173 | biostudies-literature | 2016 May

REPOSITORIES: biostudies-literature