Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Letter
  • Published:

A comparative analysis of the evolution of imperfect mimicry

Abstract

Although exceptional examples of adaptation are frequently celebrated, some outcomes of natural selection seem far from perfect. For example, many hoverflies (Diptera: Syrphidae) are harmless (Batesian1) mimics of stinging Hymenoptera2. However, although some hoverfly species are considered excellent mimics, other species bear only a superficial resemblance to their models3 and it is unclear why this is so. To evaluate hypotheses that have been put forward to explain interspecific variation in the mimetic fidelity of Palearctic Syrphidae we use a comparative approach. We show that the most plausible explanation is that predators impose less selection for mimetic fidelity on smaller hoverfly species because they are less profitable prey items. In particular, our findings, in combination with previous results, allow us to reject several key hypotheses for imperfect mimicry: first, human ratings of mimetic fidelity are positively correlated with both morphometric measures and avian rankings, indicating that variation in mimetic fidelity is not simply an illusion based on human perception4; second, no species of syrphid maps out in multidimensional space as being intermediate in appearance between several different hymenopteran model species, as the multimodel hypothesis5 requires; and third, we find no evidence for a negative relationship between mimetic fidelity and abundance, which calls into question the kin-selection6 hypothesis. By contrast, a strong positive relationship between mimetic fidelity and body size supports the relaxed-selection hypothesis7,8, suggesting that reduced predation pressure on less profitable prey species limits the selection for mimetic perfection.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Figure 1: GCDA plot of biometrical measurements.
Figure 2: The relationship between Mahalanobis distances ( f MD ) and human rankings ( f HR ) measures of mimetic fidelity in hoverflies.
Figure 3: Phylogenetic relationships between the 31 hoverfly species (Diptera: Syphidae) for which fidelity and body-size data exist.
Figure 4: Relationship between body size (estimated as −PC1) and two measures of mimetic fidelity.

Similar content being viewed by others

References

  1. Bates, H. Contribution to an insect fauna of the Amazon Valley, Lepidoptera: Heliconidae. Trans. Linn. Soc. Lond. 23, 495–566 (1862)

    Article  Google Scholar 

  2. Mostler, G. Observations on the question of wasp mimicry. Z. Morphol. Oekol. Tiere 29, 381–454 (1935)

    Article  Google Scholar 

  3. Gilbert, F. in Insect Evolutionary Ecology (eds Fellowes, M. D. E., Holloway, G. J. & Rolff, J. ) 231–288 (CABI Publishing, 2005)

    Google Scholar 

  4. Cuthill, I. C. & Bennett, A. T. D. Mimicry and the eye of the beholder. Proc. R. Soc. Lond. B 253, 203–204 (1993)

    Article  ADS  Google Scholar 

  5. Edmunds, M. Why are there good and poor mimics? Biol. J. Linn. Soc. 70, 459–466 (2000)

    Article  Google Scholar 

  6. Johnstone, R. A. The evolution of inaccurate mimics. Nature 418, 524–526 (2002)

    Article  ADS  CAS  Google Scholar 

  7. Duncan, C. J. & Sheppard, P. M. Sensory discrimination and its role in the evolution of Batesian mimicry. Behaviour 24, 269–282 (1965)

    Article  Google Scholar 

  8. Sherratt, T. N. The evolution of imperfect mimicry. Behav. Ecol. 13, 821–826 (2002)

    Article  Google Scholar 

  9. Ruxton, G. D., Sherratt, T. N. & Speed, M. P. Avoiding Attack: The Evolutionary Ecology of Crypsis, Warning Signals, and Mimicry (Oxford Univ. Press, 2004)

    Book  Google Scholar 

  10. Vereecken, N. J. & Schiestl, F. P. The evolution of imperfect floral mimicry. Proc. Natl Acad. Sci. USA 105, 7484–7488 (2008)

    Article  ADS  CAS  Google Scholar 

  11. Edmunds, M. Do Malaysian Myrmarachne associate with particular species of ant? Biol. J. Linn. Soc. 88, 645–653 (2006)

    Article  Google Scholar 

  12. Dittrich, W., Gilbert, F., Green, P., McGregor, P. & Grewcock, D. Imperfect mimicry—a pigeon’s perspective. Proc. R. Soc. Lond. B 251, 195–200 (1993)

    Article  ADS  Google Scholar 

  13. Chittka, L. & Osorio, D. Cognitive dimensions of predator responses to imperfect mimicry. PLoS Biol. 5, e339 (2007)

    Article  Google Scholar 

  14. Holen, Ø. H. & Johnstone, R. A. The evolution of mimicry under constraints. Am. Nat. 164, 598–613 (2004)

    Article  Google Scholar 

  15. Speed, M. P. & Ruxton, G. D. Imperfect Batesian mimicry and the conspicuousness costs of mimetic resemblance. Am. Nat. 176, E1–E14 (2004)

    Article  Google Scholar 

  16. Bain, R. S., Rashed, A., Cowper, V. J., Gilbert, F. S. & Sherratt, T. N. The key mimetic features of hoverflies through avian eyes. Proc. R. Soc. B 274, 1949–1954 (2007)

    Article  Google Scholar 

  17. Green, P. R. et al. Conditioning pigeons to discriminate naturally lit insect specimens. Behav. Processes 46, 97–102 (1999)

    Article  CAS  Google Scholar 

  18. Iserbyt, A. et al. Frequency-dependent variation in mimetic fidelity in an intraspecific mimicry system. Proc. R. Soc. B 278, 3116–3122 (2011)

    Article  Google Scholar 

  19. Sutherland, W. J. Do oystercatchers select the most profitable cockles? Anim. Behav. 30, 857–861 (1982)

    Article  Google Scholar 

  20. Harper, G. R. & Pfennig, D. W. Mimicry on the edge: why do mimics vary in resemblance to their model in different parts of their geographical range? Proc. R. Soc. B 274, 1955–1961 (2007)

    Article  Google Scholar 

  21. Marples, N. M. Do wild birds use size to distinguish palatable and unpalatable prey types? Anim. Behav. 46, 347–354 (1993)

    Article  Google Scholar 

  22. Hagman, M. & Forsman, A. Correlated evolution of conspicuous coloration and body size in poison frogs (Dendrobatidae). Evolution 57, 2904–2910 (2003)

    Article  Google Scholar 

  23. Janzen, D. H., Hallwachs, W. & Burns, J. M. A tropical horde of counterfeit predator eyes. Proc. Natl Acad. Sci. USA 107, 11659–11665 (2010)

    Article  ADS  CAS  Google Scholar 

  24. Gilbert, F. S. & Owen, J. Size, shape, competition and community structure in hoverflies (Diptera: Syrphidae). J. Anim. Ecol. 59, 21–39 (1990)

    Article  Google Scholar 

  25. Friendly, M. & Fox, J. Candisc: generalized canonical discriminant analysis. R package version 0. 5-19, 〈http://CRAN.R-project.org/package=candisc〉 (2010)

  26. R Development Core Team. R: A Language and Environment for Statistical Computing (R Foundation for Statistical Computing, 2010)

    Google Scholar 

  27. Skevington, J. H. & Yeates, D. K. Phylogeny of the Syrphoidea (Diptera) inferred from mtDNA sequences and morphology with particular reference to classification of the Pipunculidae (Diptera). Mol. Phylogenet. Evol. 16, 212–224 (2000)

    Article  CAS  Google Scholar 

  28. Ståhls, G., Hippa, H., Rotheray, G., Muona, J. & Gilbert, F. Phylogeny of Syrphidae (Diptera) inferred from combined analysis of molecular and morphological characters. Syst. Entomol. 28, 433–450 (2003)

    Article  Google Scholar 

  29. Gibson, J. F., Skevington, J. H. & Kelso, S. Placement of the Conopidae (Diptera) within the Schizophora based on ten mtDNA and nrDNA gene regions. Mol. Phylogenet. Evol. 56, 91–103 (2010)

    Article  CAS  Google Scholar 

  30. Ronquist, F. & Huelsenbeck, J. P. MrBayes 3: Bayesian phylogenetic inference under mixed models. Bioinformatics 19, 1572–1574 (2003)

    Article  CAS  Google Scholar 

  31. Miller, M. A., Pfeiffer, W. & Schwartz, T. in Proceedings of the Gateway Computing Environments Workshop (GCE) (IEEE, 2010)

    Google Scholar 

  32. Nylander, J. A. A. MrModeltest v.2 (Evolutionary Biology Centre, Uppsala Univ., 2004)

    Google Scholar 

  33. Rotheray, G. & Gilbert, F. Phylogeny of Palaearctic Syrphidae (Diptera): evidence from larval stages. Zool. J. Linn. Soc. 127, 1–112 (1999)

    Article  Google Scholar 

  34. Mengual, X., Ståhls, G. & Rojo, S. First phylogeny of predatory flower flies (Diptera, Syrphidae, Syrphinae) using mitochondrial COI and nuclear 28S rRNA genes: conflict and congruence with the current tribal classification. Cladistics 24, 543–562 (2008)

    Article  Google Scholar 

  35. Paradis, E., Claude, J. & Strimmer, K. APE: analyses of phylogenetics and evolution in R language. Bioinformatics 20, 289–290 (2004)

    Article  CAS  Google Scholar 

  36. Pinheiro, J., Bates, D., DebRoy, S. & Sarkar, D. R Development Core Team. nlme: linear and nonlinear mixed effects models. R package version 3. 1-98, 〈http://CRAN.R-project.org/package=nlme〉 (2011)

  37. Fletcher, T. D. Psychometric: applied psychometric theory. R package version 2. 2, 〈http://CRAN.R-project.org/package=psychometric〉 (2010)

Download references

Acknowledgements

We thank W. Knee for help with the Bayesian analysis, and R. Laird, G. Ruxton and M. Speed for comments on the manuscript. The human aspect of this research was approved by the Carleton University Research Ethics Committee and conducted according to the guidelines set out in the Tri-Council Policy Statement on Ethical Conduct for Research Involving Humans; subjects gave informed consent. The work was supported by grants to T.N.S. from the Natural Sciences and Engineering Research Council of Canada (NSERC), the Canada Foundation for Innovation and the Ontario Innovation Trust, and to J.H.S. from Agriculture and Agri-Food Canada, the Canadian Centre for DNA Barcoding and NSERC Canpolin. C.H. was supported by an Ontario MRI Fellowship.

Author information

Authors and Affiliations

Authors

Contributions

H.D.P. photographed and measured specimens, and collected data on human rankings. J.H.S. provided the novel molecular phylogeny. C.H. analysed the data. C.H., K.R.A. and T.N.S. wrote the paper. T.N.S. conceived the project. All authors discussed the results and provided comments on the manuscript.

Corresponding author

Correspondence to Thomas N. Sherratt.

Ethics declarations

Competing interests

The authors declare no competing financial interests.

Additional information

All newgenetic sequences are deposited inGenBank andare listed in Supplementary Table 4.

Supplementary information

Supplementary Information

This file contains Supplementary Figures 1-6, Supplementary Tables 1-4, a Supplementary Discussions and additional references. (PDF 5796 kb)

PowerPoint slides

Rights and permissions

Reprints and permissions

About this article

Cite this article

Penney, H., Hassall, C., Skevington, J. et al. A comparative analysis of the evolution of imperfect mimicry. Nature 483, 461–464 (2012). https://doi.org/10.1038/nature10961

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/nature10961

This article is cited by

Comments

By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.

Search

Quick links

Nature Briefing Anthropocene

Sign up for the Nature Briefing: Anthropocene newsletter — what matters in anthropocene research, free to your inbox weekly.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing: Anthropocene