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New Methods to Calculate Concordance Factors for Phylogenomic Datasets

We implement two measures for quantifying genealogical concordance in phylogenomic data sets: the gene concordance factor (gCF) and the novel site concordance factor (sCF). For every branch of a reference tree, gCF is defined as the percentage of “decisive” gene trees containing that branch. This me...

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Autores principales: Minh, Bui Quang, Hahn, Matthew W, Lanfear, Robert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7475031/
https://www.ncbi.nlm.nih.gov/pubmed/32365179
http://dx.doi.org/10.1093/molbev/msaa106
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author Minh, Bui Quang
Hahn, Matthew W
Lanfear, Robert
author_facet Minh, Bui Quang
Hahn, Matthew W
Lanfear, Robert
author_sort Minh, Bui Quang
collection PubMed
description We implement two measures for quantifying genealogical concordance in phylogenomic data sets: the gene concordance factor (gCF) and the novel site concordance factor (sCF). For every branch of a reference tree, gCF is defined as the percentage of “decisive” gene trees containing that branch. This measure is already in wide usage, but here we introduce a package that calculates it while accounting for variable taxon coverage among gene trees. sCF is a new measure defined as the percentage of decisive sites supporting a branch in the reference tree. gCF and sCF complement classical measures of branch support in phylogenetics by providing a full description of underlying disagreement among loci and sites. An easy to use implementation and tutorial is freely available in the IQ-TREE software package (http://www.iqtree.org/doc/Concordance-Factor, last accessed May 13, 2020).
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spelling pubmed-74750312020-09-10 New Methods to Calculate Concordance Factors for Phylogenomic Datasets Minh, Bui Quang Hahn, Matthew W Lanfear, Robert Mol Biol Evol Methods We implement two measures for quantifying genealogical concordance in phylogenomic data sets: the gene concordance factor (gCF) and the novel site concordance factor (sCF). For every branch of a reference tree, gCF is defined as the percentage of “decisive” gene trees containing that branch. This measure is already in wide usage, but here we introduce a package that calculates it while accounting for variable taxon coverage among gene trees. sCF is a new measure defined as the percentage of decisive sites supporting a branch in the reference tree. gCF and sCF complement classical measures of branch support in phylogenetics by providing a full description of underlying disagreement among loci and sites. An easy to use implementation and tutorial is freely available in the IQ-TREE software package (http://www.iqtree.org/doc/Concordance-Factor, last accessed May 13, 2020). Oxford University Press 2020-05-04 /pmc/articles/PMC7475031/ /pubmed/32365179 http://dx.doi.org/10.1093/molbev/msaa106 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution. http://creativecommons.org/licenses/by/4.0/ 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.
spellingShingle Methods
Minh, Bui Quang
Hahn, Matthew W
Lanfear, Robert
New Methods to Calculate Concordance Factors for Phylogenomic Datasets
title New Methods to Calculate Concordance Factors for Phylogenomic Datasets
title_full New Methods to Calculate Concordance Factors for Phylogenomic Datasets
title_fullStr New Methods to Calculate Concordance Factors for Phylogenomic Datasets
title_full_unstemmed New Methods to Calculate Concordance Factors for Phylogenomic Datasets
title_short New Methods to Calculate Concordance Factors for Phylogenomic Datasets
title_sort new methods to calculate concordance factors for phylogenomic datasets
topic Methods
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7475031/
https://www.ncbi.nlm.nih.gov/pubmed/32365179
http://dx.doi.org/10.1093/molbev/msaa106
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