000142791 001__ 142791
000142791 005__ 20190111220607.0
000142791 0247_ $$2doi$$a10.1007/s00265-009-0885-4
000142791 022__ $$a0340-5443
000142791 02470 $$2ISI$$a000274433600019
000142791 037__ $$aARTICLE
000142791 245__ $$aTask-dependent influence of genetic architecture and mating frequency on division of labour in social insect societies
000142791 269__ $$a2010
000142791 260__ $$bSpringer Verlag$$c2010
000142791 336__ $$aJournal Articles
000142791 520__ $$aDivision of labour is one of the most prominent features of social insects. The  efficient allocation of individuals to different tasks requires dynamic  adjustment in response to environmental perturbations. Theoretical models  suggest that the colony-level flexibility in responding to external changes  and internal perturbation may depend on the within-colony genetic diversity,  which is affected by the number of breeding individuals. However, these  models have not considered the genetic architecture underlying the  propensity of workers to perform the various tasks. Here, we investigated  how both within-colony genetic variability (stemming from variation in the  number of matings by queens) and the number of genes influencing the  stimulus (threshold) for a given task at which workers begin to perform that  task jointly influence task allocation efficiency. We used a numerical agent- based model to investigate the situation where workers had to perform either  a regulatory task or a foraging task. One hundred generations of artificial  selection in populations consisting of 500 colonies revealed that an increased  number of matings always improved colony performance, whatever the  number of loci encoding the thresholds of the regulatory and foraging tasks.  However, the beneficial effect of additional matings was particularly  important when the genetic architecture of queens comprised one or a few  genes for the foraging task’s threshold. By contrast, a higher number of  genes encoding the foraging task reduced colony performance with the  detrimental effect being stronger when queens had mated with several males.  Finally, the number of genes encoding the threshold for the regulatory task  only had a minor effect on colony performance. Overall, our numerical  experiments support the importance of mating frequency on efficiency of  division of labour and also reveal complex interactions between the number  of matings and genetic architecture.
000142791 6531_ $$aTask Allocation
000142791 6531_ $$aResponse Thresholds
000142791 6531_ $$aNumber of Matings
000142791 6531_ $$aNumber of Loci
000142791 6531_ $$aGenetic Diversity
000142791 6531_ $$aEvolutionary Robotics
000142791 700__ $$aTarapore, Danesh
000142791 700__ $$0240742$$aFloreano, Dario$$g111729
000142791 700__ $$aKeller, Laurent
000142791 773__ $$j64$$q675-684$$tBehavioral Ecology and Sociobiology
000142791 8564_ $$uhttp://www.springerlink.com/content/m16w24q0614k1528/$$zURL
000142791 8564_ $$s297253$$uhttps://infoscience.epfl.ch/record/142791/files/Tarapore.2010_2.pdf$$zn/a
000142791 909C0 $$0252161$$pLIS$$xU10370
000142791 909CO $$ooai:infoscience.tind.io:142791$$pSTI$$particle$$qGLOBAL_SET
000142791 917Z8 $$x255330
000142791 937__ $$aLIS-ARTICLE-2009-010
000142791 973__ $$aEPFL$$rREVIEWED$$sPUBLISHED
000142791 980__ $$aARTICLE