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Table 4 Association of SNPs in the PPARG, CEBPA and RXRA genes with meat quality traits in an Argentinean crossbred cattle population: least square means and standard deviation (s.d.) of the genotypic classes based on the individual polymorphisms, additive and dominance effects, substitution effect and percentage of phenotypic variance explained by the SNP (σ 2 SNP ). N: number of samples; n.e.: non estimable; C18:0: stearic acid (%); C18:1 cis-9: oleic acid (%);C18:3 cis-6,9,12: ϒ-linolenic acid (%); C18:3 cis-9,12,15: α-linolenic acid (%); MUFA: monounsaturated fatty acids (%); Ω-6/Ω-3: omega-6/omega-3 proportion; BT: backfat thickness of beef (mm)

From: Genetic characterisation of PPARG, CEBPA and RXRA, and their influence on meat quality traits in cattle

SNP/Trait Least square means Dominance effect Aditive effect Substitution effect σ 2 SNP
rs207671117 (PPARG) GG (N = 244) GA (N = 16) AA (N = 0)     
Ω-6/Ω-3 3.026 ± 0.081 2.314 ± 0.283 ---- n.e. 0.712 ± 0.284 (P = 0.013) * n.e. 0.40
rs41610552 (PPARG) CC (N = 135) CG (N = 109) GG (N = 12)     
C18:1 cis-9 39.797 ± 0.276 40.445 ± 0.302 39.318 ± 0.737 0.888 ± 0.430 (P = 0.040) 0.240 ± 0.374 (P = 0.522) -0.190 (C > G) 2.09
rs42016945 (PPARG) CC (N = 146) CT (N = 86) TT (N = 27)     
C18:0 14.047 ± 0.199 13.586 ± 0.246 14.369 ± 0.414 -0.622 ± 0.295 (P = 0.036) 0.160 ± 0.218 (P = 0.462) 0.445 (C > T) 0.80
BT 3.641 ± 0.130 3.586 ± 0.160 3.064 ± 0.269 0.234 ± 0.195 (P = 0.231) 0.288 ± 0.143 (P = 0.045) 0.181 (C > T) 0.31
rs133517803 (RXRA) GG (N = 132) GA (N = 109) AA (N = 16)     
C18:1 cis-9 40.115 ± 0.280 39.836 ± 0.286 41.650 ± 0.660 -1.047 ± 0.395 (P = 0.009) 0.768 ± 0.336 (P = 0.023) 1.241 (G > A) 1.77
18:3 cis-6,9,12 0.055 ± 0.006 0.045 ± 0.007 0.018 ± 0.017 0.013 ± 0.011 (P = 0.223) 0.018 ± 0.009 (P = 0.040) 0.012 (G > A) 0.35
C18:3 cis-9,12,15 0.796 ± 0.024 0.805 ± 0.025 0.644 ± 0.062 0.085 ± 0.039 (P = 0.030) 0.076 ± 0.032 (P = 0.019) 0.038 (G > A) 1.47
MUFA 48.044 ± 0.277 47.796 ± 0.283 49.690 ± 0.656 -1.071 ± 0.393 (P = 0.007) 0.823 ± 0.334 (P = 0.014) 1.306 (G > A) 1.35
BT 3.683 ± 0.141 3.481 ± 0.144 2.910 ± 0.353 0.185 ± 0.215 (P = 0.392) 0.387 ± 0.182 (P = 0.035) 0.303 (G > A) 0.95
  1. * Calculated as the difference between the two genotypes detected in the population