An evolutionary resolution of manipulation conflict.

Détails

Ressource 1Télécharger: BIB_3F1D51E387D9.P001.pdf (955.06 [Ko])
Etat: Public
Version: Final published version
ID Serval
serval:BIB_3F1D51E387D9
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
An evolutionary resolution of manipulation conflict.
Périodique
Evolution
Auteur⸱e⸱s
González-Forero M.
ISSN
1558-5646 (Electronic)
ISSN-L
0014-3820
Statut éditorial
Publié
Date de publication
2014
Peer-reviewed
Oui
Volume
68
Numéro
7
Pages
2038-2051
Langue
anglais
Résumé
Individuals can manipulate the behavior of social partners. However, manipulation may conflict with the fitness interests of the manipulated individuals. Manipulated individuals can then be favored to resist manipulation, possibly reducing or eliminating the manipulated behavior in the long run. I use a mathematical model to show that conflicts where manipulation and resistance coevolve can disappear as a result of the coevolutionary process. I find that while manipulated individuals are selected to resist, they can simultaneously be favored to express the manipulated behavior at higher efficiency (i.e., providing increasing fitness effects to recipients of the manipulated behavior). Efficiency can increase to a point at which selection for resistance disappears. This process yields an efficient social behavior that is induced by social partners, and over which the inducing and induced individuals are no longer in conflict. A necessary factor is costly inefficiency. I develop the model to address the evolution of advanced eusociality via maternal manipulation (AEMM). The model predicts AEMM to be particularly likely in taxa with ancestrally imperfect resistance to maternal manipulation. Costly inefficiency occurs if the cost of delayed dispersal is larger than the benefit of exploiting the maternal patch. I discuss broader implications of the process.
Mots-clé
Animals, Conflict (Psychology), Evolution, Molecular, Machiavellianism, Maternal Behavior, Models, Genetic
Pubmed
Web of science
Open Access
Oui
Création de la notice
07/04/2014 10:28
Dernière modification de la notice
20/08/2019 14:36
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