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Evolution of self-organized division of labor in a response threshold model

Division of labor in social insects is determinant to their ecological success. Recent models emphasize that division of labor is an emergent property of the interactions among nestmates obeying to simple behavioral rules. However, the role of evolution in shaping these rules has been largely neglec...

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Autores principales: Duarte, Ana, Pen, Ido, Keller, Laurent, Weissing, Franz J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer-Verlag 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3353103/
https://www.ncbi.nlm.nih.gov/pubmed/22661824
http://dx.doi.org/10.1007/s00265-012-1343-2
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author Duarte, Ana
Pen, Ido
Keller, Laurent
Weissing, Franz J.
author_facet Duarte, Ana
Pen, Ido
Keller, Laurent
Weissing, Franz J.
author_sort Duarte, Ana
collection PubMed
description Division of labor in social insects is determinant to their ecological success. Recent models emphasize that division of labor is an emergent property of the interactions among nestmates obeying to simple behavioral rules. However, the role of evolution in shaping these rules has been largely neglected. Here, we investigate a model that integrates the perspectives of self-organization and evolution. Our point of departure is the response threshold model, where we allow thresholds to evolve. We ask whether the thresholds will evolve to a state where division of labor emerges in a form that fits the needs of the colony. We find that division of labor can indeed evolve through the evolutionary branching of thresholds, leading to workers that differ in their tendency to take on a given task. However, the conditions under which division of labor evolves depend on the strength of selection on the two fitness components considered: amount of work performed and on worker distribution over tasks. When selection is strongest on the amount of work performed, division of labor evolves if switching tasks is costly. When selection is strongest on worker distribution, division of labor is less likely to evolve. Furthermore, we show that a biased distribution (like 3:1) of workers over tasks is not easily achievable by a threshold mechanism, even under strong selection. Contrary to expectation, multiple matings of colony foundresses impede the evolution of specialization. Overall, our model sheds light on the importance of considering the interaction between specific mechanisms and ecological requirements to better understand the evolutionary scenarios that lead to division of labor in complex systems. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00265-012-1343-2) contains supplementary material, which is available to authorized users.
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spelling pubmed-33531032012-05-31 Evolution of self-organized division of labor in a response threshold model Duarte, Ana Pen, Ido Keller, Laurent Weissing, Franz J. Behav Ecol Sociobiol Original Paper Division of labor in social insects is determinant to their ecological success. Recent models emphasize that division of labor is an emergent property of the interactions among nestmates obeying to simple behavioral rules. However, the role of evolution in shaping these rules has been largely neglected. Here, we investigate a model that integrates the perspectives of self-organization and evolution. Our point of departure is the response threshold model, where we allow thresholds to evolve. We ask whether the thresholds will evolve to a state where division of labor emerges in a form that fits the needs of the colony. We find that division of labor can indeed evolve through the evolutionary branching of thresholds, leading to workers that differ in their tendency to take on a given task. However, the conditions under which division of labor evolves depend on the strength of selection on the two fitness components considered: amount of work performed and on worker distribution over tasks. When selection is strongest on the amount of work performed, division of labor evolves if switching tasks is costly. When selection is strongest on worker distribution, division of labor is less likely to evolve. Furthermore, we show that a biased distribution (like 3:1) of workers over tasks is not easily achievable by a threshold mechanism, even under strong selection. Contrary to expectation, multiple matings of colony foundresses impede the evolution of specialization. Overall, our model sheds light on the importance of considering the interaction between specific mechanisms and ecological requirements to better understand the evolutionary scenarios that lead to division of labor in complex systems. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00265-012-1343-2) contains supplementary material, which is available to authorized users. Springer-Verlag 2012-03-22 2012 /pmc/articles/PMC3353103/ /pubmed/22661824 http://dx.doi.org/10.1007/s00265-012-1343-2 Text en © The Author(s) 2012 https://creativecommons.org/licenses/by/4.0/ This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.
spellingShingle Original Paper
Duarte, Ana
Pen, Ido
Keller, Laurent
Weissing, Franz J.
Evolution of self-organized division of labor in a response threshold model
title Evolution of self-organized division of labor in a response threshold model
title_full Evolution of self-organized division of labor in a response threshold model
title_fullStr Evolution of self-organized division of labor in a response threshold model
title_full_unstemmed Evolution of self-organized division of labor in a response threshold model
title_short Evolution of self-organized division of labor in a response threshold model
title_sort evolution of self-organized division of labor in a response threshold model
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3353103/
https://www.ncbi.nlm.nih.gov/pubmed/22661824
http://dx.doi.org/10.1007/s00265-012-1343-2
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