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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