Literature DB >> 22661824

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

Ana Duarte, Ido Pen, Laurent Keller, Franz J Weissing.   

Abstract

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.

Entities:  

Year:  2012        PMID: 22661824      PMCID: PMC3353103          DOI: 10.1007/s00265-012-1343-2

Source DB:  PubMed          Journal:  Behav Ecol Sociobiol        ISSN: 0340-5443            Impact factor:   2.980


  24 in total

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Journal:  J Theor Biol       Date:  2002-12-07       Impact factor: 2.691

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Authors:  Mark J F Brown; Paul Schmid-Hempel
Journal:  Evolution       Date:  2003-09       Impact factor: 3.694

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Review 5.  Integrating function and mechanism.

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Journal:  Trends Ecol Evol       Date:  2009-08-14       Impact factor: 17.712

6.  Variance-based selection may explain general mating patterns in social insects.

Authors:  Olav Rueppell; Nels Johnson; Jan Rychtár
Journal:  Biol Lett       Date:  2008-06-23       Impact factor: 3.703

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Authors:  Elva J H Robinson; Ofer Feinerman; Nigel R Franks
Journal:  Proc Biol Sci       Date:  2009-09-23       Impact factor: 5.349

8.  Self-organization in social insects.

Authors:  E Bonabeau; G Theraulaz; J L Deneubourg; S Aron; S Camazine
Journal:  Trends Ecol Evol       Date:  1997-05       Impact factor: 17.712

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10.  Implications of behavioral architecture for the evolution of self-organized division of labor.

Authors:  A Duarte; E Scholtens; F J Weissing
Journal:  PLoS Comput Biol       Date:  2012-03-22       Impact factor: 4.475

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Review 5.  Self-organization of organoids from endoderm-derived cells.

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Journal:  Elife       Date:  2021-10-29       Impact factor: 8.140

7.  The evolution of mechanisms to produce phenotypic heterogeneity in microorganisms.

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8.  Individual experience influences reconstruction of division of labour under colony disturbance in a queenless ant species.

Authors:  Yasunari Tanaka; Masaru K Hojo; Hiroyuki Shimoji
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9.  Evolution of Self-Organized Task Specialization in Robot Swarms.

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Journal:  PLoS Comput Biol       Date:  2015-08-06       Impact factor: 4.475

10.  A Design Pattern for Decentralised Decision Making.

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Journal:  PLoS One       Date:  2015-10-23       Impact factor: 3.240

  10 in total

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