| Title |
Genome wide association study and genomic prediction for fatty acid composition in Chinese Simmental beef cattle using high density SNP array
|
|---|---|
| Published in |
BMC Genomics, June 2017
|
| DOI | 10.1186/s12864-017-3847-7 |
| Pubmed ID | |
| Authors |
Bo Zhu, Hong Niu, Wengang Zhang, Zezhao Wang, Yonghu Liang, Long Guan, Peng Guo, Yan Chen, Lupei Zhang, Yong Guo, Heming Ni, Xue Gao, Huijiang Gao, Lingyang Xu, Junya Li |
| Abstract |
Fatty acid composition of muscle is an important trait contributing to meat quality. Recently, genome-wide association study (GWAS) has been extensively used to explore the molecular mechanism underlying important traits in cattle. In this study, we performed GWAS using high density SNP array to analyze the association between SNPs and fatty acids and evaluated the accuracy of genomic prediction for fatty acids in Chinese Simmental cattle. Using the BayesB method, we identified 35 and 7 regions in Chinese Simmental cattle that displayed significant associations with individual fatty acids and fatty acid groups, respectively. We further obtained several candidate genes which may be involved in fatty acid biosynthesis including elongation of very long chain fatty acids protein 5 (ELOVL5), fatty acid synthase (FASN), caspase 2 (CASP2) and thyroglobulin (TG). Specifically, we obtained strong evidence of association signals for one SNP located at 51.3 Mb for FASN using Genome-wide Rapid Association Mixed Model and Regression-Genomic Control (GRAMMAR-GC) approaches. Also, region-based association test identified multiple SNPs within FASN and ELOVL5 for C14:0. In addition, our result revealed that the effectiveness of genomic prediction for fatty acid composition using BayesB was slightly superior over GBLUP in Chinese Simmental cattle. We identified several significantly associated regions and loci which can be considered as potential candidate markers for genomics-assisted breeding programs. Using multiple methods, our results revealed that FASN and ELOVL5 are associated with fatty acids with strong evidence. Our finding also suggested that it is feasible to perform genomic selection for fatty acids in Chinese Simmental cattle. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 67 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 11 | 16% |
| Student > Ph. D. Student | 10 | 15% |
| Researcher | 7 | 10% |
| Student > Doctoral Student | 6 | 9% |
| Other | 5 | 7% |
| Other | 11 | 16% |
| Unknown | 17 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 29 | 43% |
| Biochemistry, Genetics and Molecular Biology | 4 | 6% |
| Veterinary Science and Veterinary Medicine | 4 | 6% |
| Medicine and Dentistry | 3 | 4% |
| Chemical Engineering | 1 | 1% |
| Other | 4 | 6% |
| Unknown | 22 | 33% |
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 19 June 2017.
All research outputs
#14,288,676
of 22,981,247 outputs
Outputs from BMC Genomics
#5,685
of 10,687 outputs
Outputs of similar age
#175,815
of 317,509 outputs
Outputs of similar age from BMC Genomics
#116
of 210 outputs
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We're also able to compare this research output to 210 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.