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The genomic signature of dog domestication reveals adaptation to a starch-rich diet

Overview of attention for article published in Nature, January 2013
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Citations

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637 Dimensions

Readers on

mendeley
1408 Mendeley
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11 CiteULike
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Title
The genomic signature of dog domestication reveals adaptation to a starch-rich diet
Published in
Nature, January 2013
DOI 10.1038/nature11837
Pubmed ID
URN
urn:nbn:se:uu:diva-198620
Authors

Erik Axelsson, Abhirami Ratnakumar, Maja-Louise Arendt, Khurram Maqbool, Matthew T. Webster, Michele Perloski, Olof Liberg, Jon M. Arnemo, Åke Hedhammar, Kerstin Lindblad-Toh

Abstract

The domestication of dogs was an important episode in the development of human civilization. The precise timing and location of this event is debated and little is known about the genetic changes that accompanied the transformation of ancient wolves into domestic dogs. Here we conduct whole-genome resequencing of dogs and wolves to identify 3.8 million genetic variants used to identify 36 genomic regions that probably represent targets for selection during dog domestication. Nineteen of these regions contain genes important in brain function, eight of which belong to nervous system development pathways and potentially underlie behavioural changes central to dog domestication. Ten genes with key roles in starch digestion and fat metabolism also show signals of selection. We identify candidate mutations in key genes and provide functional support for an increased starch digestion in dogs relative to wolves. Our results indicate that novel adaptations allowing the early ancestors of modern dogs to thrive on a diet rich in starch, relative to the carnivorous diet of wolves, constituted a crucial step in the early domestication of dogs.

Twitter Demographics

The data shown below were collected from the profiles of 379 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 1,408 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 30 2%
Germany 6 <1%
United Kingdom 5 <1%
Portugal 4 <1%
Japan 4 <1%
Brazil 4 <1%
Austria 4 <1%
Denmark 3 <1%
Canada 3 <1%
Other 28 2%
Unknown 1317 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 302 21%
Researcher 230 16%
Student > Bachelor 227 16%
Student > Master 176 13%
Other 71 5%
Other 233 17%
Unknown 169 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 673 48%
Biochemistry, Genetics and Molecular Biology 172 12%
Veterinary Science and Veterinary Medicine 111 8%
Medicine and Dentistry 54 4%
Environmental Science 42 3%
Other 158 11%
Unknown 198 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 965. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 July 2022.
All research outputs
#12,544
of 21,740,538 outputs
Outputs from Nature
#1,455
of 88,657 outputs
Outputs of similar age
#58
of 279,662 outputs
Outputs of similar age from Nature
#9
of 999 outputs
Altmetric has tracked 21,740,538 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 88,657 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 98.1. This one has done particularly well, scoring higher than 98% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 279,662 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 999 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.