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Exome sequencing reveals genetic differentiation due to high-altitude adaptation in the Tibetan cashmere goat (Capra hircus)

Overview of attention for article published in BMC Genomics, February 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

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7 X users
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1 Wikipedia page

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98 Mendeley
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Title
Exome sequencing reveals genetic differentiation due to high-altitude adaptation in the Tibetan cashmere goat (Capra hircus)
Published in
BMC Genomics, February 2016
DOI 10.1186/s12864-016-2449-0
Pubmed ID
Authors

Shen Song, Na Yao, Min Yang, Xuexue Liu, Kunzhe Dong, Qianjun Zhao, Yabin Pu, Xiaohong He, Weijun Guan, Ning Yang, Yuehui Ma, Lin Jiang

Abstract

The Tibetan cashmere goat (Capra hircus), one of the most ancient breeds in China, has historically been a critical source of meat and cashmere production for local farmers. To adapt to the high-altitude area, extremely harsh climate, and hypoxic environment that the Tibetan cashmere goat lives in, this goat has developed distinct phenotypic traits compared to lowland breeds. However, the genetic components underlying this phenotypic adaptation remain largely unknown. We obtained 118,700 autosomal SNPs through exome sequencing of 330 cashmere goats located at a wide geographic range, including the Tibetan Plateau and low-altitude regions in China. The great majority of SNPs showed low genetic differentiation among populations; however, approximately 2-3 % of the loci showed more genetic differentiation than expected under a selectively neutral model. Together with a combined analysis of high- and low-altitude breeds, we revealed 339 genes potentially under high-altitude selection. Genes associated with cardiovascular system development were significantly enriched in our study. Among these genes, the most evident one was endothelial PAS domain protein 1 (EPAS1), which has been previously reported to be involved in complex oxygen sensing and significantly associated with high-altitude adaptation of human, dog, and grey wolf. The missense mutation Q579L that we identified in EPAS1, which occurs next to the Hypoxia-Inducible Factor-1 (HIF-1) domain, was exclusively enriched in the high-altitude populations. Our study provides insights concerning the population variation in six different cashmere goat populations in China. The variants in cardiovascular system-related genes may explain the observed phenotypic adaptation of the Tibetan cashmere goat.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 98 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 30%
Researcher 10 10%
Student > Master 8 8%
Student > Doctoral Student 7 7%
Student > Postgraduate 5 5%
Other 15 15%
Unknown 24 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 31 32%
Biochemistry, Genetics and Molecular Biology 22 22%
Veterinary Science and Veterinary Medicine 7 7%
Engineering 3 3%
Arts and Humanities 2 2%
Other 4 4%
Unknown 29 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 April 2019.
All research outputs
#4,587,145
of 22,849,304 outputs
Outputs from BMC Genomics
#1,917
of 10,656 outputs
Outputs of similar age
#70,717
of 298,010 outputs
Outputs of similar age from BMC Genomics
#51
of 258 outputs
Altmetric has tracked 22,849,304 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,656 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 81% 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 298,010 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 76% of its contemporaries.
We're also able to compare this research output to 258 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.