Skip to main content
Proceedings of the Royal Society B: Biological Sciences logoLink to Proceedings of the Royal Society B: Biological Sciences
. 2002 May 22;269(1495):983–990. doi: 10.1098/rspb.2002.1970

What kind of signals do mimetic tiger moths send? A phylogenetic test of wasp mimicry systems (Lepidoptera: Arctiidae: Euchromiini).

Rebecca B Simmons 1, Susan J Weller 1
PMCID: PMC1690985  PMID: 12028753

Abstract

Mimicry has been examined in field and laboratory studies of butterflies and its evolutionary dynamics have been explored in computer simulations. Phylogenetic studies examining the evolution of mimicry, however, are rare. Here, the phylogeny of wasp-mimicking tiger moths, the Sphecosoma group, was used to test evolutionary predictions of computer simulations of conventional Müllerian mimicry and quasi-Batesian mimicry dynamics. We examined whether mimetic traits evolved individually, or as suites of characters, using concentrated change tests. The phylogeny of these moth mimics revealed that individual mimetic characters were conserved, as are the three mimetic wasp forms: yellow Polybia, black Polybia and Parachartergus mimetic types. This finding was consistent with a 'supergene' control of linked loci and the Nicholson two-step model of mimicry evolution. We also used a modified permutation-tail probability approach to examine the rate of mimetic-type evolution. The observed topology, hypothetical Müllerian and Batesian scenarios, and 1000 random trees were compared using Kishino-Hasegawa tests. The observed phylogeny was more consistent with the predicted Müllerian distribution of mimetic traits than with that of a quasi-Batesian scenario. We suggest that the range of discriminatory abilities of the predator community plays a key role in shaping mimicry dynamics.

Full Text

The Full Text of this article is available as a PDF (312.9 KB).

Selected References

These references are in PubMed. This may not be the complete list of references from this article.

  1. Brower L. P., Ryerson W. N., Coppinger L. L., Glazier S. C. Ecological chemistry and the palatability spectrum. Science. 1968 Sep 27;161(3848):1349–1350. doi: 10.1126/science.161.3848.1349. [DOI] [PubMed] [Google Scholar]
  2. Charlesworth D., Charlesworth B. Theoretical genetics of Batesian mimicry II. Evolution of supergenes. J Theor Biol. 1975 Dec;55(2):305–324. doi: 10.1016/s0022-5193(75)80082-8. [DOI] [PubMed] [Google Scholar]
  3. Eisner T., Meinwald J. Chemical ecology. Proc Natl Acad Sci U S A. 1995 Jan 3;92(1):1–1. doi: 10.1073/pnas.92.1.1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Kishino H., Hasegawa M. Evaluation of the maximum likelihood estimate of the evolutionary tree topologies from DNA sequence data, and the branching order in hominoidea. J Mol Evol. 1989 Aug;29(2):170–179. doi: 10.1007/BF02100115. [DOI] [PubMed] [Google Scholar]
  5. M A, Stamp dawkins M Predator discrimination error and the benefits of Müllerian mimicry. Anim Behav. 1998 May;55(5):1281–1288. doi: 10.1006/anbe.1997.0702. [DOI] [PubMed] [Google Scholar]
  6. Pough F. H., Brower L. P., Meck H. R., Kessell S. R. Theoretical investigations of automimicry: multiple trial learning and the palatability spectrum. Proc Natl Acad Sci U S A. 1973 Aug;70(8):2261–2265. doi: 10.1073/pnas.70.8.2261. [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Speed MP. Robot predators in virtual ecologies: the importance of memory in mimicry studies. Anim Behav. 1999 Jan;57(1):203–213. doi: 10.1006/anbe.1998.0943. [DOI] [PubMed] [Google Scholar]

Articles from Proceedings of the Royal Society B: Biological Sciences are provided here courtesy of The Royal Society

RESOURCES