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

Author:

Lord Etienne12,Pathmanathan Jananan S3,Corel Eduardo3ORCID,Makarenkov Vladimir1,Lopez Philippe3,Bouchard Frédéric4,Bhattacharya Debashish5,Antoine Pierre-Olivier6,Le Guyader Hervé3,Lapointe François-Joseph23,Bapteste Eric3

Affiliation:

1. Département d'informatique, Université du Québec à Montréal, Montréal, Québec, Canada

2. Département de sciences biologiques, Université de Montréal, Montréal, Québec, Canada

3. Institut de Systématique, Evolution, Biodiversité (ISYEB), Sorbonne Université, CNRS, Museum National d'Histoire Naturelle, EPHE, Université des Antilles, Paris, France

4. Département de Philosophie, Université de Montreal, Montréal, Quebec, Canada

5. Department of Biochemistry and Microbiology, Rutgers University, New Brunswick

6. Institut des Sciences de l'Evolution, cc64, Université de Montpellier, CNRS, Université des Antilles, IRD, EPHE, Montpellier, France

Abstract

Abstract 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.

Funder

Natural Sciences and Engineering Research Council

NSERC discovery

European Research Council

European Community's Seventh Framework Program

Publisher

Oxford University Press (OUP)

Subject

Genetics,Ecology, Evolution, Behavior and Systematics

Reference42 articles.

1. Alicornops (Mammalia, Rhinocerotidae) dans le Miocène supérieur des Collines Bugti (Balouchistan, Pakistan): implications phylogénétiques;Antoine;Geodiversitas,2003

2. A revision of Aceratherium blanfordi Lydekker, 1884 (Mammalia: Rhinocerotidae) from the early miocene of Pakistan: postcranials as a key;Antoine;Zool J Linn Soc,2010

3. A randomization test for phylogenetic information in systematic data;Archie;Syst Zool,1989

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