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Ecological and Evolutionary Processes Drive the Origin and Maintenance of Imperfect Mimicry

Overview of attention for article published in PLOS ONE, April 2013
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Title
Ecological and Evolutionary Processes Drive the Origin and Maintenance of Imperfect Mimicry
Published in
PLOS ONE, April 2013
DOI 10.1371/journal.pone.0061610
Pubmed ID
Authors

Joseph S. Wilson, Joshua P. Jahner, Kevin A. Williams, Matthew L. Forister

Abstract

Although the forces behind the evolution of imperfect mimicry remain poorly studied, recent hypotheses suggest that relaxed selection on small-bodied individuals leads to imperfect mimicry. While evolutionary history undoubtedly affects the development of imperfect mimicry, ecological community context has largely been ignored and may be an important driver of imperfect mimicry. Here we investigate how evolutionary and ecological contexts might influence mimetic fidelity in Müllerian and Batesian mimicry systems. In Batesian hoverfly systems we find that body size is not a strong predictor of mimetic fidelity. However, in Müllerian velvet ants we find a weak positive relationship between body size and mimetic fidelity when evolutionary context is controlled for and a much stronger relationship between community diversity and mimetic fidelity. These results suggest that reduced selection on small-bodied individuals may not be a major driver of the evolution of imperfect mimicry and that other factors, such as ecological community context, should be considered when studying the evolution of imperfect mimicry.

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Geographical breakdown

Country Count As %
India 1 2%
United States 1 2%
Brazil 1 2%
Unknown 57 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 18%
Student > Master 9 15%
Student > Bachelor 8 13%
Researcher 7 12%
Professor 4 7%
Other 10 17%
Unknown 11 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 37 62%
Environmental Science 4 7%
Medicine and Dentistry 2 3%
Biochemistry, Genetics and Molecular Biology 1 2%
Chemical Engineering 1 2%
Other 2 3%
Unknown 13 22%