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Concatenation and Species Tree Methods Exhibit Statistically Indistinguishable Accuracy under a Range of Simulated Conditions

Phylogeneticists have long understood that several biological processes can cause a gene tree to disagree with its species tree. In recent years, molecular phylogeneticists have increasingly foregone traditional supermatrix approaches in favor of species tree methods that account for one such source...

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Autores principales: Tonini, João, Moore, Andrew, Stern, David, Shcheglovitova, Maryia, Ortí, Guillermo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4391732/
https://www.ncbi.nlm.nih.gov/pubmed/25901289
http://dx.doi.org/10.1371/currents.tol.34260cc27551a527b124ec5f6334b6be
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author Tonini, João
Moore, Andrew
Stern, David
Shcheglovitova, Maryia
Ortí, Guillermo
author_facet Tonini, João
Moore, Andrew
Stern, David
Shcheglovitova, Maryia
Ortí, Guillermo
author_sort Tonini, João
collection PubMed
description Phylogeneticists have long understood that several biological processes can cause a gene tree to disagree with its species tree. In recent years, molecular phylogeneticists have increasingly foregone traditional supermatrix approaches in favor of species tree methods that account for one such source of error, incomplete lineage sorting (ILS). While gene tree-species tree discordance no doubt poses a significant challenge to phylogenetic inference with molecular data, researchers have only recently begun to systematically evaluate the relative accuracy of traditional and ILS-sensitive methods. Here, we report on simulations demonstrating that concatenation can perform as well or better than methods that attempt to account for sources of error introduced by ILS. Based on these and similar results from other researchers, we argue that concatenation remains a useful component of the phylogeneticist’s toolbox and highlight that phylogeneticists should continue to make explicit comparisons of results produced by contemporaneous and classical methods.
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spelling pubmed-43917322015-04-20 Concatenation and Species Tree Methods Exhibit Statistically Indistinguishable Accuracy under a Range of Simulated Conditions Tonini, João Moore, Andrew Stern, David Shcheglovitova, Maryia Ortí, Guillermo PLoS Curr Systematics Phylogeneticists have long understood that several biological processes can cause a gene tree to disagree with its species tree. In recent years, molecular phylogeneticists have increasingly foregone traditional supermatrix approaches in favor of species tree methods that account for one such source of error, incomplete lineage sorting (ILS). While gene tree-species tree discordance no doubt poses a significant challenge to phylogenetic inference with molecular data, researchers have only recently begun to systematically evaluate the relative accuracy of traditional and ILS-sensitive methods. Here, we report on simulations demonstrating that concatenation can perform as well or better than methods that attempt to account for sources of error introduced by ILS. Based on these and similar results from other researchers, we argue that concatenation remains a useful component of the phylogeneticist’s toolbox and highlight that phylogeneticists should continue to make explicit comparisons of results produced by contemporaneous and classical methods. Public Library of Science 2015-03-09 /pmc/articles/PMC4391732/ /pubmed/25901289 http://dx.doi.org/10.1371/currents.tol.34260cc27551a527b124ec5f6334b6be Text en http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Systematics
Tonini, João
Moore, Andrew
Stern, David
Shcheglovitova, Maryia
Ortí, Guillermo
Concatenation and Species Tree Methods Exhibit Statistically Indistinguishable Accuracy under a Range of Simulated Conditions
title Concatenation and Species Tree Methods Exhibit Statistically Indistinguishable Accuracy under a Range of Simulated Conditions
title_full Concatenation and Species Tree Methods Exhibit Statistically Indistinguishable Accuracy under a Range of Simulated Conditions
title_fullStr Concatenation and Species Tree Methods Exhibit Statistically Indistinguishable Accuracy under a Range of Simulated Conditions
title_full_unstemmed Concatenation and Species Tree Methods Exhibit Statistically Indistinguishable Accuracy under a Range of Simulated Conditions
title_short Concatenation and Species Tree Methods Exhibit Statistically Indistinguishable Accuracy under a Range of Simulated Conditions
title_sort concatenation and species tree methods exhibit statistically indistinguishable accuracy under a range of simulated conditions
topic Systematics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4391732/
https://www.ncbi.nlm.nih.gov/pubmed/25901289
http://dx.doi.org/10.1371/currents.tol.34260cc27551a527b124ec5f6334b6be
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