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Models for gene duplication when dosage balance works as a transition state to subsequent neo-or sub-functionalization

BACKGROUND: Dosage balance has been described as an important process for the retention of duplicate genes after whole genome duplication events. However, dosage balance is only a temporary mechanism for duplicate gene retention, as it ceases to function following the stochastic loss of interacting...

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Autores principales: Teufel, Ashley I., Liu, Liang, Liberles, David A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4761171/
https://www.ncbi.nlm.nih.gov/pubmed/26897341
http://dx.doi.org/10.1186/s12862-016-0616-1
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author Teufel, Ashley I.
Liu, Liang
Liberles, David A.
author_facet Teufel, Ashley I.
Liu, Liang
Liberles, David A.
author_sort Teufel, Ashley I.
collection PubMed
description BACKGROUND: Dosage balance has been described as an important process for the retention of duplicate genes after whole genome duplication events. However, dosage balance is only a temporary mechanism for duplicate gene retention, as it ceases to function following the stochastic loss of interacting partners, as dosage balance itself is lost with this event. With the prolonged period of retention, on the other hand, there is the potential for the accumulation of substitutions which upon release from dosage balance constraints, can lead to either subsequent neo-functionalization or sub-functionalization. Mechanistic models developed to date for duplicate gene retention treat these processes independently, but do not describe dosage balance as a transition state to eventual functional change. RESULTS: Here a model for these processes (dosage plus neofunctionalization and dosage plus subfunctionalization) has been built within an existing framework. Because of the computational complexity of these models, a simpler modeling framework that captures the same information is also proposed. This model is integrated into a phylogenetic birth-death model, expanding the range of available models. CONCLUSIONS: Including further levels of biological reality in methods for gene tree/species tree reconciliation should not only increase the accuracy of estimates of the timing and evolutionary history of genes but can also offer insight into how genes and genomes evolve. These new models add to the tool box for characterizing mechanisms of duplicate gene retention probabilistically.
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spelling pubmed-47611712016-02-21 Models for gene duplication when dosage balance works as a transition state to subsequent neo-or sub-functionalization Teufel, Ashley I. Liu, Liang Liberles, David A. BMC Evol Biol Research Article BACKGROUND: Dosage balance has been described as an important process for the retention of duplicate genes after whole genome duplication events. However, dosage balance is only a temporary mechanism for duplicate gene retention, as it ceases to function following the stochastic loss of interacting partners, as dosage balance itself is lost with this event. With the prolonged period of retention, on the other hand, there is the potential for the accumulation of substitutions which upon release from dosage balance constraints, can lead to either subsequent neo-functionalization or sub-functionalization. Mechanistic models developed to date for duplicate gene retention treat these processes independently, but do not describe dosage balance as a transition state to eventual functional change. RESULTS: Here a model for these processes (dosage plus neofunctionalization and dosage plus subfunctionalization) has been built within an existing framework. Because of the computational complexity of these models, a simpler modeling framework that captures the same information is also proposed. This model is integrated into a phylogenetic birth-death model, expanding the range of available models. CONCLUSIONS: Including further levels of biological reality in methods for gene tree/species tree reconciliation should not only increase the accuracy of estimates of the timing and evolutionary history of genes but can also offer insight into how genes and genomes evolve. These new models add to the tool box for characterizing mechanisms of duplicate gene retention probabilistically. BioMed Central 2016-02-20 /pmc/articles/PMC4761171/ /pubmed/26897341 http://dx.doi.org/10.1186/s12862-016-0616-1 Text en © Teufel et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Teufel, Ashley I.
Liu, Liang
Liberles, David A.
Models for gene duplication when dosage balance works as a transition state to subsequent neo-or sub-functionalization
title Models for gene duplication when dosage balance works as a transition state to subsequent neo-or sub-functionalization
title_full Models for gene duplication when dosage balance works as a transition state to subsequent neo-or sub-functionalization
title_fullStr Models for gene duplication when dosage balance works as a transition state to subsequent neo-or sub-functionalization
title_full_unstemmed Models for gene duplication when dosage balance works as a transition state to subsequent neo-or sub-functionalization
title_short Models for gene duplication when dosage balance works as a transition state to subsequent neo-or sub-functionalization
title_sort models for gene duplication when dosage balance works as a transition state to subsequent neo-or sub-functionalization
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4761171/
https://www.ncbi.nlm.nih.gov/pubmed/26897341
http://dx.doi.org/10.1186/s12862-016-0616-1
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