Elsevier

Livestock Science

Volume 144, Issue 3, April 2012, Pages 290-293
Livestock Science

Short communication
Effects of single-nucleotide polymorphisms in insulin-like growth factor-1 and insulin-like growth factor-2 genes on growth performance of centrally tested Duroc boars using segregated early weaning entrance

https://doi.org/10.1016/j.livsci.2011.12.005Get rights and content

Abstract

Insulin-like growth factor (IGF)1 and IGF2 genes were reported to be associated with growth performance in pigs. This study investigated the effects of a single-nucleotide polymorphism (SNP) in IGF1 (IGF1-G201C) and two SNPs in IGF2 intron 8 (IGF2-in8-C27222G and IGF2―in8-C27322G) on the growth performance of centrally tested Duroc boars in Taiwan. In total, 735 Duroc boars were subjected to performance testing using segregated early weaning entrance. The IGF1-G201C, IGF2-in8-C27222G, and IGF2-in8-C27322G genotypes were determined by a polymerase chain reaction-based restriction fragment length polymorphism analysis. The performance traits included the average daily gain, feed conversion ratio, back-fat thickness, and age at 110 kg of body weight. The statistical model included the test season, and the IGF1-G201C and IGF2-in8-C27322G genotypes, with the starting age used as a covariate. The genotypic frequencies of the CC, CG, and GG genotypes in IGF1-G201C were 0.4%, 13.7%, and 85.9%, and of the CC, CG, and GG genotypes in the IGF2-in8-C27322G locus were 12.0%, 42.3%, and 45.7%, respectively. No polymorphism was found in the IGF2-in8-C27222G locus. The SNP of IGF1-G201C showed no significant effect on growth performance. However, the IGF2-in8-C27322G genotype significantly influenced the average daily gain, feed conversion ratio, and age at 110 kg of body weight. The results suggest that the SNP in the IGF2-in8-C27322G locus can be used as a candidate marker gene for improving the growth performance of Duroc boars under a segregated early-weaning entrance test system.

Introduction

The insulin-like growth factor (IGF)1 and IGF2 genes play important roles in normal fetal and postnatal growth and development, especially in myogenesis (Florini et al., 1996). Single-nucleotide polymorphisms (SNPs) in IGF1 and IGF2 were reported to be associated with growth performance and carcass traits in pigs (Li et al., 2003, Liu et al., 2003). Li et al. (2003) reported an SNP of IGF1 (IGF1-G201C; GenBank: NM_214256) in a Landrace × Lantang resource population and showed that IGF1-G201C significantly affected the average daily gain (ADG). Van Laere et al. (2003) showed that pigs inheriting a nucleotide substitution in intron 3 of IGF2 (IGF2-in3-G3072A) exhibited increased muscle deposition. Liu et al. (2003) reported two SNPs in intron 8 of IGF2 (IGF2-in8-C27222G and IGF2-in8-C27322G; GenBank: AY044828) in a Large White × Meishan reference family and found that these two SNPs explained a significant difference in fat deposition-related traits in boars. Vykoukalová et al. (2006) found that polymorphisms at IGF2-in3-G3072A and IGF2-in7-G162C showed significant effects on back-fat thickness and the lean-meat content of Large White pigs. Fontanesi et al. (2010) reported that the IGF2-in3-G3072A mutation is the polymorphism affecting fatness and muscle deposition, while other polymorphisms, like the cathepsin D CTSD-G70A polymorphism on SSC2p, could be used to increase selection efficiency in marker-assisted selection programs that already use the IGF2 mutation.

The segregated early weaning (SEW) procedure can limit vertical pathogen transmission from a dam to her piglets (Wilson, 1995) and has been adopted in central boar testing in Taiwan (Huang et al., 2008). Despite there being some reports showing SNPs in IGF1 and IGF2 and their association with growth performance in other breeds of pigs, few studies have been performed to investigate the effects of IGF1-G201C, IGF2-in8-C27222G, and IGF2-in8-C27322G polymorphisms on Duroc growth performance under the SEW protocol. This study investigated the effects of the SNP at IGF1-G201C and two SNPs at IGF2-in8-C27222G and IGF2-in8-C27322G on the growth performance of centrally tested Duroc boars using SEW entrance in Taiwan.

Section snippets

Source of animals and data collection

In total, 735 purebred Duroc boars from 11 herds around Taiwan were used. The boars were sent to the Central Testing Station at the Animal Technology Institute Taiwan (Miaoli, Taiwan) where a SEW entrance protocol was applied (Huang et al., 2008). The performance test was described in detail by Huang et al. (2008). All tested boars were fed the same diet ad libitum. At the end of the performance test, the age in days at the start of the test (SAGE), the ADG adjusted from 40 to 110 kg of body

Genotypic and allelic frequencies of SNPs in IGF1-G201C, IGF2-in8-C27222G, and IGF2-in8-C27322G of Doric boars in Taiwan

Frequencies of the IGF1-G201C, IGF2-in8-C27222G, and IGF2-in8-C27322G genotypes of Duroc boars are given in Table 1. Frequencies of the CC, CG, and GG genotypes in IGF1-G201C were 0.4%, 13.7%, and 85.9%, respectively. For the SNPs in IGF2-in8-C27222G and IGF2-in8-C27322G, no polymorphism in the IGF2-in8-C27222G locus was observed in this study. The frequencies of the GG, GC, and CC genotypes in the IGF2-in8-C27322G locus were 12.0%, 42.3%, and 45.7%, respectively. Frequencies of the G allele of

Conclusions

Results of this study suggest that the SNP in IGF1-G201C did not affect the growth performance of Duroc boars under the SEW testing protocol. However, the IGF2-in8-C27322G genotype significantly influenced the ADG, FCR, and A110. Thus the SNP can be used as a candidate genetic marker for improving the growth performance of Duroc boars under the SEW system.

Conflict of interest statement

The authors have declared no conflict of interest.

Acknowledgments

The authors would like to thank the Council of Agriculture (contract nos. 94AS-4.1.1-AD-U1(6), 95AS-5.1.1-AD-U1(16), and 96AS-2.1.1-AD-U1(7)) of the Republic of China for financial support of this research. We appreciate the technical assistance and data collection by Mr. Yu-Kwang Hu.

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