Literature DB >> 17269113

An evolutionarily stable strategy model for the evolution of dimorphic development in the butterfly Maculinea rebeli, a social parasite of Myrmica ant colonies.

Thomas Hovestadt1, Oliver Mitesser, Graham W Elmes, Jeremy A Thomas, Michael E Hochberg.   

Abstract

Caterpillars of the butterfly Maculinea rebeli develop as parasites inside ant colonies. In intensively studied French populations, about 25% of caterpillars mature within 1 year (fast-developing larvae [FDL]) and the others after 2 years (slow-developing larvae [SDL]); all available evidence indicates that this ratio is under the control of egg-laying females. We present an analytical model to predict the evolutionarily stable fraction of FDL (pESS). The model accounts for added winter mortality of SDL, general and kin competition among caterpillars, a competitive advantage of SDL over newly entering FDL (priority effect), and the avoidance of renewed infection of ant nests by butterflies in the coming season (segregation). We come to the following conclusions: (1) all factors listed above can promote the evolution of delayed development; (2) kin competition and segregation stabilize pESS near 0.5; and (3) a priority effect is the only mechanism potentially selecting for pESS < 0.5. However, given the empirical data, pESS is predicted to fall closer to 0.5 than to the 0.25 that has been observed. In this particular system, bet hedging cannot explain why more than 50% of larvae postpone growth. Presumably, other fitness benefits for SDL, for example, higher fertility or longevity, also contribute to the evolution of delayed development. The model presented here may be of general applicability for systems where maturing individuals compete in small subgroups.

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Year:  2007        PMID: 17269113     DOI: 10.1086/512134

Source DB:  PubMed          Journal:  Am Nat        ISSN: 0003-0147            Impact factor:   3.926


  2 in total

1.  Relative importance of density-dependent regulation and environmental stochasticity for butterfly population dynamics.

Authors:  Piotr Nowicki; Simona Bonelli; Francesca Barbero; Emilio Balletto
Journal:  Oecologia       Date:  2009-05-30       Impact factor: 3.225

2.  Spatially and financially explicit population viability analysis of Maculinea alcon in The Netherlands.

Authors:  Viktoriia Radchuk; Michiel F Wallisdevries; Nicolas Schtickzelle
Journal:  PLoS One       Date:  2012-06-14       Impact factor: 3.240

  2 in total

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