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Introducing Trait Networks to Elucidate the Fluidity of Organismal Evolution Using Palaeontological Data

Explaining the evolution of animals requires ecological, developmental, paleontological, and phylogenetic considerations because organismal traits are affected by complex evolutionary processes. Modeling a plurality of processes, operating at distinct time-scales on potentially interdependent traits...

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Autores principales: Lord, Etienne, Pathmanathan, Jananan S, Corel, Eduardo, Makarenkov, Vladimir, Lopez, Philippe, Bouchard, Frédéric, Bhattacharya, Debashish, Antoine, Pierre-Olivier, Le Guyader, Hervé, Lapointe, François-Joseph, Bapteste, Eric
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6761957/
https://www.ncbi.nlm.nih.gov/pubmed/31504500
http://dx.doi.org/10.1093/gbe/evz182
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author Lord, Etienne
Pathmanathan, Jananan S
Corel, Eduardo
Makarenkov, Vladimir
Lopez, Philippe
Bouchard, Frédéric
Bhattacharya, Debashish
Antoine, Pierre-Olivier
Le Guyader, Hervé
Lapointe, François-Joseph
Bapteste, Eric
author_facet Lord, Etienne
Pathmanathan, Jananan S
Corel, Eduardo
Makarenkov, Vladimir
Lopez, Philippe
Bouchard, Frédéric
Bhattacharya, Debashish
Antoine, Pierre-Olivier
Le Guyader, Hervé
Lapointe, François-Joseph
Bapteste, Eric
author_sort Lord, Etienne
collection PubMed
description Explaining the evolution of animals requires ecological, developmental, paleontological, and phylogenetic considerations because organismal traits are affected by complex evolutionary processes. Modeling a plurality of processes, operating at distinct time-scales on potentially interdependent traits, can benefit from approaches that are complementary treatments to phylogenetics. Here, we developed an inclusive network approach, implemented in the command line software ComponentGrapher, and analyzed trait co-occurrence of rhinocerotoid mammals. We identified stable, unstable, and pivotal traits, as well as traits contributing to complexes, that may follow to a common developmental regulation, that point to an early implementation of the postcranial Bauplan among rhinocerotoids. Strikingly, most identified traits are highly dissociable, used repeatedly in distinct combinations and in different taxa, which usually do not form clades. Therefore, the genes encoding these traits are likely recruited into novel gene regulation networks during the course of evolution. Our evo-systemic framework, generalizable to other evolved organizations, supports a pluralistic modeling of organismal evolution, including trees and networks.
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spelling pubmed-67619572019-10-02 Introducing Trait Networks to Elucidate the Fluidity of Organismal Evolution Using Palaeontological Data Lord, Etienne Pathmanathan, Jananan S Corel, Eduardo Makarenkov, Vladimir Lopez, Philippe Bouchard, Frédéric Bhattacharya, Debashish Antoine, Pierre-Olivier Le Guyader, Hervé Lapointe, François-Joseph Bapteste, Eric Genome Biol Evol Research Article Explaining the evolution of animals requires ecological, developmental, paleontological, and phylogenetic considerations because organismal traits are affected by complex evolutionary processes. Modeling a plurality of processes, operating at distinct time-scales on potentially interdependent traits, can benefit from approaches that are complementary treatments to phylogenetics. Here, we developed an inclusive network approach, implemented in the command line software ComponentGrapher, and analyzed trait co-occurrence of rhinocerotoid mammals. We identified stable, unstable, and pivotal traits, as well as traits contributing to complexes, that may follow to a common developmental regulation, that point to an early implementation of the postcranial Bauplan among rhinocerotoids. Strikingly, most identified traits are highly dissociable, used repeatedly in distinct combinations and in different taxa, which usually do not form clades. Therefore, the genes encoding these traits are likely recruited into novel gene regulation networks during the course of evolution. Our evo-systemic framework, generalizable to other evolved organizations, supports a pluralistic modeling of organismal evolution, including trees and networks. Oxford University Press 2019-09-05 /pmc/articles/PMC6761957/ /pubmed/31504500 http://dx.doi.org/10.1093/gbe/evz182 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Lord, Etienne
Pathmanathan, Jananan S
Corel, Eduardo
Makarenkov, Vladimir
Lopez, Philippe
Bouchard, Frédéric
Bhattacharya, Debashish
Antoine, Pierre-Olivier
Le Guyader, Hervé
Lapointe, François-Joseph
Bapteste, Eric
Introducing Trait Networks to Elucidate the Fluidity of Organismal Evolution Using Palaeontological Data
title Introducing Trait Networks to Elucidate the Fluidity of Organismal Evolution Using Palaeontological Data
title_full Introducing Trait Networks to Elucidate the Fluidity of Organismal Evolution Using Palaeontological Data
title_fullStr Introducing Trait Networks to Elucidate the Fluidity of Organismal Evolution Using Palaeontological Data
title_full_unstemmed Introducing Trait Networks to Elucidate the Fluidity of Organismal Evolution Using Palaeontological Data
title_short Introducing Trait Networks to Elucidate the Fluidity of Organismal Evolution Using Palaeontological Data
title_sort introducing trait networks to elucidate the fluidity of organismal evolution using palaeontological data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6761957/
https://www.ncbi.nlm.nih.gov/pubmed/31504500
http://dx.doi.org/10.1093/gbe/evz182
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