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The Reverse Cholesterol Transport Pathway Improves Understanding of Genetic Networks for Fat Deposition and Muscle Growth in Beef Cattle

Daniels, Tyler F., Wu, Xiao-Lin, Pan, Zengxiang, Michal, Jennifer J., Wright, Raymond W., Killinger, Karen M., MacNeil, Michael D., Jiang, Zhihua, Bochdanovits, Zoltán
Wagyu, adenosine triphosphate, apolipoproteins, beef cattle, binding proteins, bulls, cholesterol, fatty acid composition, genes, genotyping, homeostasis, meat quality, muscles, phenotype, phospholipids, progeny, single nucleotide polymorphism, subcutaneous fat
In the present study, thirteen genes involved in the reverse cholesterol transport (RCT) pathway were investigated for their associations with three fat depositions, eight fatty acid compositions and two growth-related phenotypes in a Wagyu x Limousin reference population, including 6 F 1 bulls, 113 F 1 dams, and 246 F 2 progeny. A total of 37 amplicons were used to screen single nucleotide polymorphisms (SNPs) on 6 F 1 bulls. Among 36 SNPs detected in 11 of these 13 genes, 19 were selected for genotyping by the Sequenom assay design on all F 2 progeny. Single-marker analysis revealed seven SNPs in ATP binding cassette A1, apolipoproteins A1, B and E, phospholipid transfer protein and paraoxinase 1 genes significantly associated with nine phenotypes (P<0.05). Previously, we reported genetic networks associated with 19 complex phenotypes based on a total of 138 genetic polymorphisms derived from 71 known functional genes. Therefore, after Bonferroni correction, these significant (adjusted P <0.05) and suggestive (adjusted P <0.10) associations were then used to identify genetic networks related to the RCT pathway. Multiple-marker analysis suggested possible genetic networks involving the RCT pathway for kidney-pelvic-heart fat percentage, rib-eye area, and subcutaneous fat depth phenotypes with markers derived from paraoxinase 1, apolipoproteins A1 and E, respectively. The present study confirmed that genes involved in cholesterol homeostasis are useful targets for investigating obesity in humans as well as for improving meat quality phenotypes in a livestock production.