IRUS Total

Mapping phylogenetic trees to reveal distinct patterns of evolution

File Description SizeFormat 
Full_Manuscript.pdfAccepted version2.04 MBAdobe PDFView/Open
Mol Biol Evol-2016-Kendall-2735-43.pdfPublished version1.02 MBAdobe PDFView/Open
Title: Mapping phylogenetic trees to reveal distinct patterns of evolution
Authors: Kendall, ML
Colijn, C
Item Type: Journal Article
Abstract: 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.
Issue Date: 24-Jun-2016
Date of Acceptance: 12-Jun-2016
URI: http://hdl.handle.net/10044/1/33765
DOI: https://dx.doi.org/10.1093/molbev/msw124
ISSN: 1537-1719
Publisher: Oxford University Press (OUP)
Start Page: 2735
End Page: 2743
Journal / Book Title: Molecular Biology and Evolution
Volume: 33
Issue: 10
Copyright Statement: © The Author(s) 2016. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
Sponsor/Funder: Engineering & Physical Science Research Council (EPSRC)
Funder's Grant Number: EP/K026003/1
Keywords: Evolutionary Biology
0604 Genetics
0603 Evolutionary Biology
0601 Biochemistry And Cell Biology
Publication Status: Published
Appears in Collections:Mathematics
Applied Mathematics and Mathematical Physics
Faculty of Natural Sciences