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Reconciliation-based detection of co-evolving gene families

BACKGROUND: Genes located in the same chromosome region share common evolutionary events more often than other genes (e.g. a segmental duplication of this region). Their evolution may also be related if they are involved in the same protein complex or biological process. Identifying co-evolving gene...

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Autores principales: Chan, Yao-ban, Ranwez, Vincent, Scornavacca, Celine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4225522/
https://www.ncbi.nlm.nih.gov/pubmed/24252193
http://dx.doi.org/10.1186/1471-2105-14-332
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author Chan, Yao-ban
Ranwez, Vincent
Scornavacca, Celine
author_facet Chan, Yao-ban
Ranwez, Vincent
Scornavacca, Celine
author_sort Chan, Yao-ban
collection PubMed
description BACKGROUND: Genes located in the same chromosome region share common evolutionary events more often than other genes (e.g. a segmental duplication of this region). Their evolution may also be related if they are involved in the same protein complex or biological process. Identifying co-evolving genes can thus shed light on ancestral genome structures and functional gene interactions. RESULTS: We devise a simple, fast and accurate probability method based on species tree-gene tree reconciliations to detect when two gene families have co-evolved. Our method observes the number and location of predicted macro-evolutionary events, and estimates the probability of having the observed number of common events by chance. CONCLUSIONS: Simulation studies confirm that our method effectively identifies co-evolving families. This opens numerous perspectives on genome-scale analysis where this method could be used to pinpoint co-evolving gene families and thus help to unravel ancestral genome arrangements or undocumented gene interactions.
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spelling pubmed-42255222014-11-12 Reconciliation-based detection of co-evolving gene families Chan, Yao-ban Ranwez, Vincent Scornavacca, Celine BMC Bioinformatics Research Article BACKGROUND: Genes located in the same chromosome region share common evolutionary events more often than other genes (e.g. a segmental duplication of this region). Their evolution may also be related if they are involved in the same protein complex or biological process. Identifying co-evolving genes can thus shed light on ancestral genome structures and functional gene interactions. RESULTS: We devise a simple, fast and accurate probability method based on species tree-gene tree reconciliations to detect when two gene families have co-evolved. Our method observes the number and location of predicted macro-evolutionary events, and estimates the probability of having the observed number of common events by chance. CONCLUSIONS: Simulation studies confirm that our method effectively identifies co-evolving families. This opens numerous perspectives on genome-scale analysis where this method could be used to pinpoint co-evolving gene families and thus help to unravel ancestral genome arrangements or undocumented gene interactions. BioMed Central 2013-11-20 /pmc/articles/PMC4225522/ /pubmed/24252193 http://dx.doi.org/10.1186/1471-2105-14-332 Text en Copyright © 2013 Chan 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 Research Article
Chan, Yao-ban
Ranwez, Vincent
Scornavacca, Celine
Reconciliation-based detection of co-evolving gene families
title Reconciliation-based detection of co-evolving gene families
title_full Reconciliation-based detection of co-evolving gene families
title_fullStr Reconciliation-based detection of co-evolving gene families
title_full_unstemmed Reconciliation-based detection of co-evolving gene families
title_short Reconciliation-based detection of co-evolving gene families
title_sort reconciliation-based detection of co-evolving gene families
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4225522/
https://www.ncbi.nlm.nih.gov/pubmed/24252193
http://dx.doi.org/10.1186/1471-2105-14-332
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