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A New Support Measure to Quantify the Impact of Local Optima in Phylogenetic Analyses

Phylogentic analyses are often incorrectly assumed to have stabilized to a single optimum. However, a set of trees from a phylogenetic analysis may contain multiple distinct local optima with each optimum providing different levels of support for each clade. For situations with multiple local optima...

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Detalles Bibliográficos
Autores principales: Brammer, Grant, Sul, Seung-Jin, Williams, Tiffani L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Libertas Academica 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3204936/
https://www.ncbi.nlm.nih.gov/pubmed/22065522
http://dx.doi.org/10.4137/EBO.S7182
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author Brammer, Grant
Sul, Seung-Jin
Williams, Tiffani L.
author_facet Brammer, Grant
Sul, Seung-Jin
Williams, Tiffani L.
author_sort Brammer, Grant
collection PubMed
description Phylogentic analyses are often incorrectly assumed to have stabilized to a single optimum. However, a set of trees from a phylogenetic analysis may contain multiple distinct local optima with each optimum providing different levels of support for each clade. For situations with multiple local optima, we propose p-support which is a clade support measure that shows the impact optima have on a final consensus tree. Our p-support measure is implemented in our PeakMapper software package. We study our approach on two published, large-scale biological tree collections. PeakMapper shows that each data set contains multiple local optima. p-support shows that both datasets contain clades in the majority consensus tree that are only supported by a subset of the local optima. Clades with low p-support are most likely to benefit from further investigation. These tools provide researchers with new information regarding phylogenetic analyses beyond what is provided by other support measures alone.
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spelling pubmed-32049362011-11-04 A New Support Measure to Quantify the Impact of Local Optima in Phylogenetic Analyses Brammer, Grant Sul, Seung-Jin Williams, Tiffani L. Evol Bioinform Online Original Research Phylogentic analyses are often incorrectly assumed to have stabilized to a single optimum. However, a set of trees from a phylogenetic analysis may contain multiple distinct local optima with each optimum providing different levels of support for each clade. For situations with multiple local optima, we propose p-support which is a clade support measure that shows the impact optima have on a final consensus tree. Our p-support measure is implemented in our PeakMapper software package. We study our approach on two published, large-scale biological tree collections. PeakMapper shows that each data set contains multiple local optima. p-support shows that both datasets contain clades in the majority consensus tree that are only supported by a subset of the local optima. Clades with low p-support are most likely to benefit from further investigation. These tools provide researchers with new information regarding phylogenetic analyses beyond what is provided by other support measures alone. Libertas Academica 2011-09-29 /pmc/articles/PMC3204936/ /pubmed/22065522 http://dx.doi.org/10.4137/EBO.S7182 Text en © the author(s), publisher and licensee Libertas Academica Ltd. This is an open access article. Unrestricted non-commercial use is permitted provided the original work is properly cited.
spellingShingle Original Research
Brammer, Grant
Sul, Seung-Jin
Williams, Tiffani L.
A New Support Measure to Quantify the Impact of Local Optima in Phylogenetic Analyses
title A New Support Measure to Quantify the Impact of Local Optima in Phylogenetic Analyses
title_full A New Support Measure to Quantify the Impact of Local Optima in Phylogenetic Analyses
title_fullStr A New Support Measure to Quantify the Impact of Local Optima in Phylogenetic Analyses
title_full_unstemmed A New Support Measure to Quantify the Impact of Local Optima in Phylogenetic Analyses
title_short A New Support Measure to Quantify the Impact of Local Optima in Phylogenetic Analyses
title_sort new support measure to quantify the impact of local optima in phylogenetic analyses
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3204936/
https://www.ncbi.nlm.nih.gov/pubmed/22065522
http://dx.doi.org/10.4137/EBO.S7182
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