ArticlePloS one2013
Evidence of coat color variation sheds new light on ancient canids.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed, 41 citations in OpenAlex.
- Genetic testing predicts appearance but not behavior in dogs.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Archaeogenomic insights into commensalism and regional variation in pig management in Neolithic northwest Europe.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Skin transcriptomic and selection signature analyses identifyFrontiers in genetics · 2025Article
- Validation of selection signatures for coat color in the Podolica Italiana gray cattle breed.Frontiers in genetics · 2024Article
- White and other fur colourations and hybridization in golden jackals (Canis aureus) in the Carpathian basin.Scientific reports · 2023Article
- Unexpected morphological diversity in ancient dogs compared to modern relatives.Proceedings. Biological sciences · 2022Article
- Article
- Comprehensive genetic testing combined with citizen science reveals a recently characterized ancient MC1R mutation associated with partial recessive red phenotypes in dog.Canine medicine and genetics · 2020Article
- Article
- Spotted phenotypes in horses lost attractiveness in the Middle Ages.Scientific reports · 2016Article
- Article
- Review
- Multilocus detection of wolf x dog hybridization in italy, and guidelines for marker selection.PloS one · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.