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Convergent Evolution of Slick Coat in Cattle through Truncation Mutations in the Prolactin Receptor

Overview of attention for article published in Frontiers in Genetics, February 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

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17 X users
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4 patents
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1 Wikipedia page

Citations

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49 Dimensions

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105 Mendeley
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Title
Convergent Evolution of Slick Coat in Cattle through Truncation Mutations in the Prolactin Receptor
Published in
Frontiers in Genetics, February 2018
DOI 10.3389/fgene.2018.00057
Pubmed ID
Authors

Laercio R. Porto-Neto, Derek M. Bickhart, Antonio J. Landaeta-Hernandez, Yuri T. Utsunomiya, Melvin Pagan, Esbal Jimenez, Peter J. Hansen, Serdal Dikmen, Steven G. Schroeder, Eui-Soo Kim, Jiajie Sun, Edward Crespo, Norman Amati, John B. Cole, Daniel J. Null, Jose F. Garcia, Antonio Reverter, William Barendse, Tad S. Sonstegard

Abstract

Evolutionary adaptations are occasionally convergent solutions to the same problem. A mutation contributing to a heat tolerance adaptation in Senepol cattle, a New World breed of mostly European descent, results in the distinct phenotype known as slick, where an animal has shorter hair and lower follicle density across its coat than wild type animals. The causal variant, located in the 11thexon ofprolactin receptor, produces a frameshift that results in a truncated protein. However, this mutation does not explain all cases of slick coats found in criollo breeds. Here, we obtained genome sequences from slick cattle of a geographically distinct criollo breed, namely Limonero, whose ancestors were originally brought to the Americas by the Spanish. These data were used to identify new causal alleles in the 11thexon of theprolactin receptor, two of which also encode shortened proteins that remove a highly conserved tyrosine residue. These new mutations explained almost 90% of investigated cases of animals that had slick coats, but which also did not carry the Senepol slick allele. These results demonstrate convergent evolution at the molecular level in a trait important to the adaptation of an animal to its environment.

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X Demographics

The data shown below were collected from the profiles of 17 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 105 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 15%
Student > Master 16 15%
Researcher 13 12%
Student > Bachelor 8 8%
Student > Doctoral Student 6 6%
Other 15 14%
Unknown 31 30%
Readers by discipline Count As %
Agricultural and Biological Sciences 42 40%
Biochemistry, Genetics and Molecular Biology 15 14%
Veterinary Science and Veterinary Medicine 8 8%
Medicine and Dentistry 2 2%
Immunology and Microbiology 1 <1%
Other 2 2%
Unknown 35 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 25 October 2022.
All research outputs
#1,645,297
of 23,575,882 outputs
Outputs from Frontiers in Genetics
#345
of 12,608 outputs
Outputs of similar age
#37,663
of 331,216 outputs
Outputs of similar age from Frontiers in Genetics
#6
of 123 outputs
Altmetric has tracked 23,575,882 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,608 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done particularly well, scoring higher than 97% 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 331,216 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 123 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 95% of its contemporaries.