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Alteration of sheep coat color pattern by disruption of ASIP gene via CRISPR Cas9

Overview of attention for article published in Scientific Reports, August 2017
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Title
Alteration of sheep coat color pattern by disruption of ASIP gene via CRISPR Cas9
Published in
Scientific Reports, August 2017
DOI 10.1038/s41598-017-08636-0
Pubmed ID
Authors

Xuemei Zhang, Wenrong Li, Chenxi Liu, Xinrong Peng, Jiapeng Lin, Sangang He, Xuejiao Li, Bing Han, Ning Zhang, Yangsheng Wu, Lei Chen, Liqin Wang, MaYila, Juncheng Huang, Mingjun Liu

Abstract

Coat color is an important characteristic and economic trait in domestic sheep. Aiming at alteration of Chinese merino sheep coat color by genome manipulation, we disrupted sheep agouti signaling protein gene by CRISPR/Cas9. A total of seven indels were identified in 5 of 6 born lambs. Each targeted lamb happened at least two kinds of modifications, and targeted lambs with multiple modifications displayed variety of coat color patterns. Three lambs with 4 bp deletion showed badgerface with black body coat color in two lambs, and brown coat color with light ventral pigmentation in another one. The black-white spotted color was observed in two lambs with 2 bp deletion. Further analysis unraveled that modifications happened in one or more than two copies of ASIP gene, and moreover, the additional spontaneous mutations of D9 and/or D5 preceding the targeting modification could also involve the formation of coat color patterns. Taken together, the entanglement of ASIP modifications by CRISPR/Cas9, spontaneous D9/D5 mutations, and ASIP gene duplications contributed to the variety of coat color patterns in targeted lambs.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 62 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 15 24%
Student > Ph. D. Student 9 15%
Student > Master 6 10%
Researcher 5 8%
Student > Doctoral Student 2 3%
Other 8 13%
Unknown 17 27%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 26%
Biochemistry, Genetics and Molecular Biology 16 26%
Veterinary Science and Veterinary Medicine 5 8%
Engineering 2 3%
Medicine and Dentistry 2 3%
Other 4 6%
Unknown 17 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 06 April 2023.
All research outputs
#15,700,900
of 25,651,057 outputs
Outputs from Scientific Reports
#74,421
of 142,278 outputs
Outputs of similar age
#176,343
of 326,931 outputs
Outputs of similar age from Scientific Reports
#3,029
of 5,988 outputs
Altmetric has tracked 25,651,057 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 142,278 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.8. This one is in the 46th percentile – i.e., 46% of its peers scored the same or lower than it.
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 326,931 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5,988 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.