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Rooted triple consensus and anomalous gene trees

BACKGROUND: Anomalous gene trees (AGTs) are gene trees with a topology different from a species tree that are more probable to observe than congruent gene trees. In this paper we propose a rooted triple approach to finding the correct species tree in the presence of AGTs. RESULTS: Based on simulated...

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Autores principales: Ewing, Gregory B, Ebersberger, Ingo, Schmidt, Heiko A, von Haeseler, Arndt
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2409437/
https://www.ncbi.nlm.nih.gov/pubmed/18439266
http://dx.doi.org/10.1186/1471-2148-8-118
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author Ewing, Gregory B
Ebersberger, Ingo
Schmidt, Heiko A
von Haeseler, Arndt
author_facet Ewing, Gregory B
Ebersberger, Ingo
Schmidt, Heiko A
von Haeseler, Arndt
author_sort Ewing, Gregory B
collection PubMed
description BACKGROUND: Anomalous gene trees (AGTs) are gene trees with a topology different from a species tree that are more probable to observe than congruent gene trees. In this paper we propose a rooted triple approach to finding the correct species tree in the presence of AGTs. RESULTS: Based on simulated data we show that our method outperforms the extended majority rule consensus strategy, while still resolving the species tree. Applying both methods to a metazoan data set of 216 genes, we tested whether AGTs substantially interfere with the reconstruction of the metazoan phylogeny. CONCLUSION: Evidence of AGTs was not found in this data set, suggesting that erroneously reconstructed gene trees are the most significant challenge in the reconstruction of phylogenetic relationships among species with current data. The new method does however rule out the erroneous reconstruction of deep or poorly resolved splits in the presence of lineage sorting.
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spelling pubmed-24094372008-06-04 Rooted triple consensus and anomalous gene trees Ewing, Gregory B Ebersberger, Ingo Schmidt, Heiko A von Haeseler, Arndt BMC Evol Biol Methodology Article BACKGROUND: Anomalous gene trees (AGTs) are gene trees with a topology different from a species tree that are more probable to observe than congruent gene trees. In this paper we propose a rooted triple approach to finding the correct species tree in the presence of AGTs. RESULTS: Based on simulated data we show that our method outperforms the extended majority rule consensus strategy, while still resolving the species tree. Applying both methods to a metazoan data set of 216 genes, we tested whether AGTs substantially interfere with the reconstruction of the metazoan phylogeny. CONCLUSION: Evidence of AGTs was not found in this data set, suggesting that erroneously reconstructed gene trees are the most significant challenge in the reconstruction of phylogenetic relationships among species with current data. The new method does however rule out the erroneous reconstruction of deep or poorly resolved splits in the presence of lineage sorting. BioMed Central 2008-04-25 /pmc/articles/PMC2409437/ /pubmed/18439266 http://dx.doi.org/10.1186/1471-2148-8-118 Text en Copyright ©2008 Ewing et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Methodology Article
Ewing, Gregory B
Ebersberger, Ingo
Schmidt, Heiko A
von Haeseler, Arndt
Rooted triple consensus and anomalous gene trees
title Rooted triple consensus and anomalous gene trees
title_full Rooted triple consensus and anomalous gene trees
title_fullStr Rooted triple consensus and anomalous gene trees
title_full_unstemmed Rooted triple consensus and anomalous gene trees
title_short Rooted triple consensus and anomalous gene trees
title_sort rooted triple consensus and anomalous gene trees
topic Methodology Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2409437/
https://www.ncbi.nlm.nih.gov/pubmed/18439266
http://dx.doi.org/10.1186/1471-2148-8-118
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