A scalability study of phylogenetic network inference methods using empirical datasets and simulations involving a single reticulation.

ABSTRACT:

Background

Branching events in phylogenetic trees reflect bifurcating and/or multifurcating speciation and splitting events. In the presence of gene flow, a phylogeny cannot be described by a tree but is instead a directed acyclic graph known as a phylogenetic network. Both phylogenetic trees and networks are typically reconstructed using computational analysis of multi-locus sequence data. The advent of high-throughput sequencing technologies has brought about two main scalability challenges: (1) dataset size in terms of the number of taxa and (2) the evolutionary divergence of the taxa in a study. The impact of both dimensions of scale on phylogenetic tree inference has been well characterized by recent studies; in contrast, the scalability limits of phylogenetic network inferenc

SUBMITTER: Hejase HA 

PROVIDER: S-EPMC5064893 | biostudies-literature | 2016 Oct

REPOSITORIES: biostudies-literature