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Genetic colour variation visible for predators and conspecifics is concealed from humans in a polymorphic moth
Ossi Nokelainen1,2, Juan A Galarza1,2, Jimi Kirvesoja1
1Department of Biological and Environmental Science, University of Jyväskylä, Jyväskylä, Finland.
Journal of Evolutionary Biology
|March 3, 2022
Summary
Color polymorphism in wood tiger moths reveals cryptic morphs invisible to humans. Objective methods are crucial, as predators and conspecifics can detect differences humans miss, impacting natural selection.
Area of Science:
- Evolutionary Biology
- Genetics
- Animal Behaviour
Background:
- Colour polymorphism is defined by discrete genetic variants and phenotypes.
- Human perception is subjective and may miss subtle colour differences.
- Cryptic morphs, or phenotypes not easily distinguished by humans, may exist in polymorphic species.
Purpose of the Study:
- To investigate cryptic colour polymorphism in the wood tiger moth (Arctia plantaginis).
- To determine the inheritance patterns of hindwing colouration.
- To compare the ability of machine learning, humans, and vision models to discriminate between colour morphs.
Main Methods:
- Analysis of pedigree data from nearly 20,000 individuals to infer inheritance.
- Application of machine learning algorithms (Linear Discriminant Analysis) for genotype prediction.
- Utilisation of vision modelling to assess discriminability for humans, moths, and birds.
Main Results:
- Hindwing colouration in male moths is controlled by a single Mendelian locus with two alleles.
- Machine learning accurately predicted male genotypes (97%), while humans could only identify the yellow morph.
- Vision models incorporating ultraviolet sensitivity showed that birds and moths could distinguish between white morphs, unlike humans.
Conclusions:
- Human-based categorization of colour polymorphism can be unreliable due to perceptual limitations.
- Cryptic morphs, undetectable by humans, may be subject to selection pressures from other receivers.
- Objective methodologies are essential for accurate study of colour polymorphism and its evolutionary implications.
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