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Molecular Evolution of a Pervasive Natural Amino-Acid Substitution in Drosophila cryptochrome

Overview of attention for article published in PLOS ONE, January 2014
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Title
Molecular Evolution of a Pervasive Natural Amino-Acid Substitution in Drosophila cryptochrome
Published in
PLOS ONE, January 2014
DOI 10.1371/journal.pone.0086483
Pubmed ID
Authors

Mirko Pegoraro, Shumaila Noreen, Supriya Bhutani, Avgi Tsolou, Ralf Schmid, Charalambos P. Kyriacou, Eran Tauber

Abstract

Genetic variations in circadian clock genes may serve as molecular adaptations, allowing populations to adapt to local environments. Here, we carried out a survey of genetic variation in Drosophila cryptochrome (cry), the fly's dedicated circadian photoreceptor. An initial screen of 10 European cry alleles revealed substantial variation, including seven non-synonymous changes. The SNP frequency spectra and the excessive linkage disequilibrium in this locus suggested that this variation is maintained by natural selection. We focused on a non-conservative SNP involving a leucine-histidine replacement (L232H) and found that this polymorphism is common, with both alleles at intermediate frequencies across 27 populations surveyed in Europe, irrespective of latitude. Remarkably, we were able to reproduce this natural observation in the laboratory using replicate population cages where the minor allele frequency was initially set to 10%. Within 20 generations, the two allelic variants converged to approximately equal frequencies. Further experiments using congenic strains, showed that this SNP has a phenotypic impact, with variants showing significantly different eclosion profiles. At the long term, these phase differences in eclosion may contribute to genetic differentiation among individuals, and shape the evolution of wild populations.

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Geographical breakdown

Country Count As %
United States 1 2%
Unknown 41 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 24%
Researcher 7 17%
Student > Bachelor 4 10%
Student > Master 4 10%
Professor 4 10%
Other 6 14%
Unknown 7 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 43%
Biochemistry, Genetics and Molecular Biology 8 19%
Philosophy 1 2%
Mathematics 1 2%
Medicine and Dentistry 1 2%
Other 2 5%
Unknown 11 26%