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Evidence of Coat Color Variation Sheds New Light on Ancient Canids

Overview of attention for article published in PLOS ONE, October 2013
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Title
Evidence of Coat Color Variation Sheds New Light on Ancient Canids
Published in
PLOS ONE, October 2013
DOI 10.1371/journal.pone.0075110
Pubmed ID
Authors

Morgane Ollivier, Anne Tresset, Christophe Hitte, Coraline Petit, Sandrine Hughes, Benjamin Gillet, Marilyne Duffraisse, Maud Pionnier-Capitan, Laetitia Lagoutte, Rose-Marie Arbogast, Adrian Balasescu, Adina Boroneant, Marjan Mashkour, Jean-Denis Vigne, Catherine Hänni

Abstract

We have used a paleogenetics approach to investigate the genetic landscape of coat color variation in ancient Eurasian dog and wolf populations. We amplified DNA fragments of two genes controlling coat color, Mc1r (Melanocortin 1 Receptor) and CBD103 (canine-β-defensin), in respectively 15 and 19 ancient canids (dogs and wolf morphotypes) from 14 different archeological sites, throughout Asia and Europe spanning from ca. 12 000 B.P. (end of Upper Palaeolithic) to ca. 4000 B.P. (Bronze Age). We provide evidence of a new variant (R301C) of the Melanocortin 1 receptor (Mc1r) and highlight the presence of the beta-defensin melanistic mutation (CDB103-K locus) on ancient DNA from dog-and wolf-morphotype specimens. We show that the dominant K(B) allele (CBD103), which causes melanism, and R301C (Mc1r), the variant that may cause light hair color, are present as early as the beginning of the Holocene, over 10,000 years ago. These results underline the genetic diversity of prehistoric dogs. This diversity may have partly stemmed not only from the wolf gene pool captured by domestication but also from mutations very likely linked to the relaxation of natural selection pressure occurring in-line with this process.

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Geographical breakdown

Country Count As %
France 4 4%
United States 1 <1%
Czechia 1 <1%
Poland 1 <1%
Unknown 99 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 23%
Student > Bachelor 18 17%
Student > Ph. D. Student 17 16%
Student > Master 11 10%
Other 7 7%
Other 12 11%
Unknown 17 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 49 46%
Biochemistry, Genetics and Molecular Biology 13 12%
Arts and Humanities 5 5%
Earth and Planetary Sciences 5 5%
Veterinary Science and Veterinary Medicine 5 5%
Other 9 8%
Unknown 20 19%