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Evolutionary relationships are frequently described by phylogenetic trees, but a central barrier in many fields is the difficulty of interpreting data containing conflicting phylogenetic signals. We present a metric-based method for comparing trees which extracts distinct alternative evolutionary relationships embedded in data. We demonstrate detection and resolution of phylogenetic uncertainty in a recent study of anole lizards, leading to alternate hypotheses about their evolutionary relationships. We use our approach to compare trees derived from different genes of Ebolavirus and find that the VP30 gene has a distinct phylogenetic signature composed of three alternatives that differ in the deep branching structure.phylogenetics, evolution, tree metrics, genetics, sequencing.

Original publication

DOI

10.1093/molbev/msw124

Type

Journal article

Journal

Molecular biology and evolution

Publication Date

10/2016

Volume

33

Pages

2735 - 2743

Addresses

Department of Mathematics, Imperial College London, London, United Kingdom m.kendall@imperial.ac.uk.

Keywords

Animals, Cluster Analysis, Evolution, Molecular, Phylogeny, Algorithms, Models, Genetic, Statistics as Topic, Biological Evolution