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MC1R Genotype and Plumage Colouration in the Zebra Finch (Taeniopygia guttata): Population Structure Generates Artefactual Associations

Overview of attention for article published in PLOS ONE, January 2014
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Title
MC1R Genotype and Plumage Colouration in the Zebra Finch (Taeniopygia guttata): Population Structure Generates Artefactual Associations
Published in
PLOS ONE, January 2014
DOI 10.1371/journal.pone.0086519
Pubmed ID
Authors

Joseph I. Hoffman, E. Tobias Krause, Katrin Lehmann, Oliver Krüger

Abstract

Polymorphisms at the melanocortin-1 receptor (MC1R) gene have been linked to coloration in many vertebrate species. However, the potentially confounding influence of population structure has rarely been controlled for. We explored the role of the MC1R in a model avian system by sequencing the coding region in 162 zebra finches comprising 79 wild type and 83 white individuals from five stocks. Allelic counts differed significantly between the two plumage morphs at multiple segregating sites, but these were mostly synonymous. To provide a control, the birds were genotyped at eight microsatellites and subjected to Bayesian cluster analysis, revealing two distinct groups. We therefore crossed wild type with white individuals and backcrossed the F1s with white birds. No significant associations were detected in the resulting offspring, suggesting that our original findings were a byproduct of genome-wide divergence. Our results are consistent with a previous study that found no association between MC1R polymorphism and plumage coloration in leaf warblers. They also contribute towards a growing body of evidence suggesting that care should be taken to quantify, and where necessary control for, population structure in association studies.

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Geographical breakdown

Country Count As %
Spain 1 2%
Portugal 1 2%
Germany 1 2%
Australia 1 2%
Unknown 45 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 29%
Student > Ph. D. Student 11 22%
Student > Master 7 14%
Student > Bachelor 5 10%
Professor > Associate Professor 3 6%
Other 2 4%
Unknown 7 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 28 57%
Biochemistry, Genetics and Molecular Biology 5 10%
Neuroscience 2 4%
Nursing and Health Professions 2 4%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Other 2 4%
Unknown 9 18%