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A demogenetic individual based model for the evolution of traits and genome architecture under sexual selection

Louise Chevalier, François De Coligny, Jacques Labonne
doi: https://doi.org/10.1101/2020.04.01.014514
Louise Chevalier
1Universite de Pau et des Pays de l’Adour, E2S UPPA, INRAE, ECOBIOP, Saint-Pée-sur-Nivelle, France
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François De Coligny
1Universite de Pau et des Pays de l’Adour, E2S UPPA, INRAE, ECOBIOP, Saint-Pée-sur-Nivelle, France
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Jacques Labonne
2AMAP, Univ Montpellier, CIRAD, CNRS, INRAE, IRD, 34000 Montpellier, France
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  • For correspondence: jacques.labonne@inrae.fr
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Abstract

Sexual selection has long been known to favor the evolution of mating behaviors such as mate preference and competitiveness, and to affect their genetic architecture, for instance by favoring genetic correlation between some traits. Reciprocally, genetic architecture can affect the expression and the evolvability of traits and mating behaviors. But sexual selection is highly context-dependent, making interactions between individuals a central process in evolution, governing the transmission of genotypes to the next generation. This loop between the genetic structure conditioning the expression and evolution of traits and behaviour, and the feedback of this phenotypic evolution on the architecture of the genome in the dynamic context of sexual selection, has yet to be thoroughly investigated. We argue that demogenetic agent-based models (DG-ABM) are especially suited to tackle such a challenge because they allow explicit modelling of both the genetic architecture of traits and the behavioural interactions in a dynamic population context. We here present a DG-ABM able to simultaneously track individual variation in traits (such as gametic investment, preference, competitiveness), fitness and genetic architecture throughout evolution. Using two simulation experiments, we compare various mating systems and show that behavioral interactions during mating triggered some complex feedback in our model, between fitness, population demography, and genetic architecture, placing interactions between individuals at the core of evolution through sexual selection. DG-ABMs can, therefore, relate to theoretical patterns expected at the population level from simpler analytical models in evolutionary biology, and at the same time provide a more comprehensive framework regarding individual trait and behaviour variation, that is usually envisioned separately from genome architecture in behavioural ecology.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • Version 4 of this preprint has been peer-reviewed and recommended by Peer Community In Evolutionary Biology (https://doi.org/10.24072/pci.evolbiol.100112).

  • https://doi.org/10.15454/6NFGZ9

  • http://capsis.cirad.fr/capsis/help_en/runaway

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
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Posted November 16, 2020.
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A demogenetic individual based model for the evolution of traits and genome architecture under sexual selection
Louise Chevalier, François De Coligny, Jacques Labonne
bioRxiv 2020.04.01.014514; doi: https://doi.org/10.1101/2020.04.01.014514
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A demogenetic individual based model for the evolution of traits and genome architecture under sexual selection
Louise Chevalier, François De Coligny, Jacques Labonne
bioRxiv 2020.04.01.014514; doi: https://doi.org/10.1101/2020.04.01.014514

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