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Permanent link (DOI): https://doi.org/10.7939/R39W09C3Q

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Genome-wide association and genomic prediction of breeding values for fatty acid composition in subcutaneous adipose and longissimus lumborum muscle of beef cattle Open Access

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Author or creator
Chen, Liuhong
Ekine-Dzivenu, Chinyere
Vinsky, Michael D.
Basarab, John A.
Aalhus, Jennifer L.
Dugan, Mike E. R.
Fitzsimmons, Carolyn J.
Stothard, Paul
Li, Changxi
Additional contributors
Subject/Keyword
Fatty Acid Composition
Single Nucleotide Polymorphism
Genomic Prediction
Beef Cattle
Genome-Wide Association Study
Type of item
Journal Article (Published)
Language
English
Place
Time
Description
Background Identification of genetic variants that are associated with fatty acid composition in beef will enhance our understanding of host genetic influence on the trait and also allow for more effective improvement of beef fatty acid profiles through genomic selection and marker-assisted diet management. In this study, 81 and 83 fatty acid traits were measured in subcutaneous adipose (SQ) and longissimus lumborum muscle (LL), respectively, from 1366 purebred and crossbred beef steers and heifers that were genotyped on the Illumina BovineSNP50 Beadchip. The objective was to conduct genome-wide association studies (GWAS) for the fatty acid traits and to evaluate the accuracy of genomic prediction for fatty acid composition using genomic best linear unbiased prediction (GBLUP) and Bayesian methods. Results In total, 302 and 360 significant SNPs spanning all autosomal chromosomes were identified to be associated with fatty acid composition in SQ and LL tissues, respectively. Proportions of total genetic variance explained by individual significant SNPs ranged from 0.03 to 11.06 % in SQ, and from 0.005 to 24.28 % in the LL muscle. Markers with relatively large effects were located near fatty acid synthase (FASN), stearoyl-CoA desaturase (SCD), and thyroid hormone responsive (THRSP) genes. For the majority of the fatty acid traits studied, the accuracy of genomic prediction was relatively low (<0.40). Relatively high accuracies (> = 0.50) were achieved for 10:0, 12:0, 14:0, 15:0, 16:0, 9c-14:1, 12c-16:1, 13c-18:1, and health index (HI) in LL, and for 12:0, 14:0, 15:0, 10 t,12c-18:2, and 11 t,13c + 11c,13 t-18:2 in SQ. The Bayesian method performed similarly as GBLUP for most of the traits but substantially better for traits that were affected by SNPs of large effects as identified by GWAS. Conclusions Fatty acid composition in beef is influenced by a few host genes with major effects and many genes of smaller effects. With the current training population size and marker density, genomic prediction has the potential to predict the breeding values of fatty acid composition in beef cattle at a moderate to relatively high accuracy for fatty acids that have moderate to high heritability.
Date created
2015
DOI
doi:10.7939/R39W09C3Q
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Attribution 4.0 International
Citation for previous publication
Chen, L., Ekine-Dzivenu, C., Vinsky, M. D., Basarab, J. A., Aalhus, J. L., Dugan, M. E. R., Fitzsimmons, C. J., Stothard, P., & Li, C. (2015). Genome-wide association and genomic prediction of breeding values for fatty acid composition in subcutaneous adipose and longissimus lumborum muscle of beef cattle. BMC Genetics, 16(135), [15 pages].  http://dx.doi.org/10.1186/s12863-015-0290-0

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File title: Abstract
File title: Genome-wide association and genomic prediction of breeding values for fatty acid composition in subcutaneous adipose and longissimus lumborum muscle of beef cattle
File author: Liuhong Chen
Page count: 15
File language: EN
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