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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2013
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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. |
format | Online Article Text |
id | pubmed-4225522 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT chanyaoban reconciliationbaseddetectionofcoevolvinggenefamilies AT ranwezvincent reconciliationbaseddetectionofcoevolvinggenefamilies AT scornavaccaceline reconciliationbaseddetectionofcoevolvinggenefamilies |