Parental imprinting effects on growth traits and Kleiber ratio in sheep

Abstract

The goal was to study imprinting effects on birth weight (BW), weaning weight (WW), six months weight (W6), pre- and post-weaning growth rate (GRa and GRb), and pre- and post-weaning Kleiber ratio (KRa and KRb) in Baluchi and Makuie sheep breeds. Analyses were done in a two steps process. In the first step, each trait was analysed with a series of 12 univariate animal models, including different combinations of direct and maternal effects and the best model was selected by the AIC criterion. In the second step, three new models were fitted by adding either maternal imprinting effect, paternal imprinting effect, or both of them, respectively, to the best model already selected in the first step, and changes in AIC were monitored. (Co)variances between traits were estimated using bivariate analyses. In Baluchi sheep, for BW, WW and W6, estimates of maternal imprinting heritability ( ${\boldsymbol h}_{{\boldsymbol mi}}^2$ ) were 0.12 ± 0.02, 0.08 ± 0.01 and 0.09 ± 0.01, respectively. In Makuie sheep, paternal imprinting heritability ( ${\boldsymbol h}_{{\boldsymbol pi}}^2$ ) for BW, WW, W6, GRb and KRb were 0.17 ± 0.05, 0.8 ± 0.05, 0.38 ± 0.10, 0.71 ± 0.15 and 0.65 ± 0.13, respectively. In Baluchi sheep, strong maternal imprinting correlations were observed between BW and WW (0.93 ± 0.05), BW and W6 (0.80 ± 0.07) and WW and W6 (0.91 ± 0.02). In Makuie sheep, paternal imprinting correlations ranged from −0.97 ± 0.33 (BW-GRb) to 0.99 ± 0.47 (GRb-KRb). It was concluded that imprinting effects need to be included in the statistical model to increase the accuracy of genetic evaluation. However, to have accurate and reliable estimates of imprinting effects, the availability of large data sets and deep pedigrees are necessary.

Weighted single-step genome-wide association study for direct and maternal genetic effects associated with birth and weaning weights in sheep

“…Various studies have shown that growth traits such as body weight at birth and weaning in sheep are affected by direct genetic and maternal effects 16,38 . It has been proven that considering maternal effects in genetic evaluation models leads to a more accurate estimation of (co)variance, genetic parameters and, genetic evaluation of these traits 39 . By using the ssGWAS method, phenotypic and pedigree information of genotyped and nongenotyped animals together with the hybrid relationship matrix leads to a more reliable QTL detection and reducing the probability of spurious signals 40 .…”