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Genome-wide association reveals QTL for growth, bone and in vivo carcass traits as assessed by computed tomography in Scottish Blackface lambs

Overview of attention for article published in Genetics Selection Evolution, February 2016
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Title
Genome-wide association reveals QTL for growth, bone and in vivo carcass traits as assessed by computed tomography in Scottish Blackface lambs
Published in
Genetics Selection Evolution, February 2016
DOI 10.1186/s12711-016-0191-3
Pubmed ID
Authors

Oswald Matika, Valentina Riggio, Marie Anselme-Moizan, Andrew S. Law, Ricardo Pong-Wong, Alan L. Archibald, Stephen C. Bishop

Abstract

Improving meat quality including taste and tenderness is critical to the protection and development of markets for sheep meat. Phenotypic selection for such measures of meat quality is constrained by the fact that these parameters can only be measured post-slaughter. Carcass composition has an impact on meat quality and can be measured on live animals using advanced imaging technologies such as X-ray computed tomography (CT). Since carcass composition traits are heritable, they are potentially amenable to improvement through marker-assisted and genomic selection. We conducted a genome-wide association study (GWAS) on about 600 Scottish Blackface lambs for which detailed carcass composition phenotypes, including bone, fat and muscle components, had been captured using CT and which were genotyped for ~40,000 single nucleotide polymorphisms (SNPs) using the Illumina OvineSNP50 chip. We confirmed that the carcass composition traits were heritable with moderate to high (0.19-0.78) heritabilities. The GWAS analyses revealed multiple SNPs and quantitative trait loci (QTL) that were associated with effects on carcass composition traits and were significant at the genome-wide level. In particular, we identified a region on ovine chromosome 6 (OAR6) associated with bone weight and bone area that harboured SNPs with p values of 5.55 × 10(-8) and 2.63 × 10(-9), respectively. The same region had effects on fat area, fat density, fat weight and muscle density. We identified plausible positional candidate genes for these OAR6 QTL. We also detected a SNP that reached the genome-wide significance threshold with a p value of 7.28 × 10(-7) and was associated with muscle density on OAR1. Using a regional heritability mapping approach, we also detected regions on OAR3 and 24 that reached genome-wide significance for bone density. We identified QTL on OAR1, 3, 24 and particularly on OAR6 that are associated with effects on muscle, fat and bone traits. Based on available evidence that indicates that these traits are genetically correlated with meat quality traits, these associated SNPs have potential applications in selective breeding for improved meat quality. Further research is required to determine whether the effects associated with the OAR6 QTL are caused by a single gene or several closely-linked genes.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
United States 1 1%
Brazil 1 1%
Unknown 85 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 23%
Researcher 16 18%
Student > Master 10 11%
Student > Doctoral Student 9 10%
Student > Bachelor 6 7%
Other 14 16%
Unknown 13 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 44 50%
Veterinary Science and Veterinary Medicine 8 9%
Biochemistry, Genetics and Molecular Biology 5 6%
Neuroscience 2 2%
Computer Science 2 2%
Other 8 9%
Unknown 19 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 11 October 2017.
All research outputs
#6,578,205
of 25,394,764 outputs
Outputs from Genetics Selection Evolution
#194
of 820 outputs
Outputs of similar age
#99,452
of 407,892 outputs
Outputs of similar age from Genetics Selection Evolution
#3
of 18 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 820 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done well, scoring higher than 76% 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 407,892 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 75% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.