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Three-butterfly system provides a field test of müllerian mimicry

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  • Durrell D. Kapan

    (Universidad de Puerto Rico—Rio Piedras)

Abstract

In 1879, Müller proposed that two brightly coloured distasteful butterfly species (co-models) that share a single warning-colour pattern would benefit by spreading the selective burden of educating predators1,2,3,4,5. The mutual benefit of sharing warning signals among distasteful species, so-called müllerian mimicry, is supported by comparative evidence2,3, theoretical studies5,6 and laboratory simulations7; however, to date, this key exemplar of adaptive evolution has not been experimentally tested in the field. To measure natural selection generated by müllerian mimicry, I exploited the unusual polymorphism of Heliconius cydno (Lepidoptera: Nymphalidae)8. Here I show increased survival of H. cydno morphs that match locally abundant monomorphic co-model species. This study demonstrates müllerian mimicry in the field. It also shows that müllerian mimicry with several co-models generates geographically divergent selection, which explains the existence of polymorphism in distasteful species with warning coloration9.

Suggested Citation

  • Durrell D. Kapan, 2001. "Three-butterfly system provides a field test of müllerian mimicry," Nature, Nature, vol. 409(6818), pages 338-340, January.
  • Handle: RePEc:nat:nature:v:409:y:2001:i:6818:d:10.1038_35053066
    DOI: 10.1038/35053066
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    Cited by:

    1. Atsushi Honma & Koh-ichi Takakura & Takayoshi Nishida, 2008. "Optimal-Foraging Predator Favors Commensalistic Batesian Mimicry," PLOS ONE, Public Library of Science, vol. 3(10), pages 1-9, October.
    2. Daniel Friedman & Nirvikar Singh, 2004. "Vengefulness Evolves in Small Groups," Palgrave Macmillan Books, in: Steffen Huck (ed.), Advances in Understanding Strategic Behaviour, chapter 3, pages 28-54, Palgrave Macmillan.
    3. Newberry, Mitchell G. & McCandlish, David M. & Plotkin, Joshua B., 2016. "Assortative mating can impede or facilitate fixation of underdominant alleles," Theoretical Population Biology, Elsevier, vol. 112(C), pages 14-21.

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