Literature DB >> 14575328

The evolution of female multiple mating in social hymenoptera.

Mark J F Brown1, Paul Schmid-Hempel.   

Abstract

The evolution of female multiple mating is a highly controversial topic, especially in social insects. Here we analyze, using comparative analyses and simulation models, the merits of two major contending hypotheses for the adaptive value of polyandry in this group. The hypotheses maintain that, respectively, the resulting genotypic diversity among offspring within a colony: (1) mitigates against the effects of parasites; or (2) favors adaptive division of labor. Only two of 11 phylogenetically uncontrolled comparative analyses supported an association between polyandry and the complexity of division of labor (measured here using worker caste polymorphism or polyethism) as proposed by hypothesis 2, and after controlling for phylogeny there were no significant associations. In contrast, a previous study demonstrated such an association for parasite load as expected under hypothesis 1. In addition, we used simulation models to track the spread of an initially rare allele for double mating in a population of single-mating alleles, thus analyzing the crucial first step from monandry to polyandry. We find that double mating evolves consistently under antagonistic coevolution given that parasites exert sufficient selection intensity. In contrast, selection for enhanced division of labor resulted in only an erratic appearance of polyandry in highly (and mostly negatively) autocorrelated environments where no coevolutionary dynamics were allowed. Together, we interpret these results to suggest that parasites, and the antagonistic coevolutionary pressures they exert, may play an important role in the evolution of polyandry in social hymenopteran populations.

Entities:  

Mesh:

Year:  2003        PMID: 14575328     DOI: 10.1111/j.0014-3820.2003.tb00386.x

Source DB:  PubMed          Journal:  Evolution        ISSN: 0014-3820            Impact factor:   3.694


  16 in total

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

Authors:  Ana Duarte; Ido Pen; Laurent Keller; Franz J Weissing
Journal:  Behav Ecol Sociobiol       Date:  2012-03-22       Impact factor: 2.980

2.  Exceptionally high levels of multiple mating in an army ant.

Authors:  A Jay Denny; Nigel R Franks; Scott Powell; Keith J Edwards
Journal:  Naturwissenschaften       Date:  2004-07-17

3.  Geographic variation in polyandry of the Eastern Honey Bee, Apis cerana, in Thailand.

Authors:  D S DeFelice; C Ross; M Simone-Finstrom; N Warrit; D R Smith; M Burgett; P Sukumalanand; O Rueppell
Journal:  Insectes Soc       Date:  2015-02       Impact factor: 1.643

4.  Patterns of selection and polymorphism of innate immunity genes in bumblebees (Hymenoptera: Apidae).

Authors:  J S Ellis; L M Turner; M E Knight
Journal:  Genetica       Date:  2012-08-17       Impact factor: 1.082

5.  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

6.  Queen promiscuity lowers disease within honeybee colonies.

Authors:  Thomas D Seeley; David R Tarpy
Journal:  Proc Biol Sci       Date:  2007-01-07       Impact factor: 5.349

7.  Variable virulence among isolates of Ascosphaera apis: testing the parasite-pathogen hypothesis for the evolution of polyandry in social insects.

Authors:  G M Lee; P A McGee; B P Oldroyd
Journal:  Naturwissenschaften       Date:  2013-01-23

8.  Lower disease infections in honeybee (Apis mellifera) colonies headed by polyandrous vs monandrous queens.

Authors:  David R Tarpy; Thomas D Seeley
Journal:  Naturwissenschaften       Date:  2006-03-03

Review 9.  Does genetic diversity limit disease spread in natural host populations?

Authors:  K C King; C M Lively
Journal:  Heredity (Edinb)       Date:  2012-06-20       Impact factor: 3.821

10.  Multiple mating but not recombination causes quantitative increase in offspring genetic diversity for varying genetic architectures.

Authors:  Olav Rueppell; Stephen Meier; Roland Deutsch
Journal:  PLoS One       Date:  2012-10-15       Impact factor: 3.240

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