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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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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. |
format | Online Article Text |
id | pubmed-4391732 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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