Abstract
Insulin-like growth factor 2 (IGF2) is a potent cell growth and differentiation factor and is implicated in mammals’ growth and development. The objective of this study was to evaluate the effects of the mutations in the bovine IGF2 with growth traits in Chinese Qinchuan cattle. Four single nucleotide polymorphisms (SNPs) were detected of the bovine IGF2 by DNA pool sequencing and forced polymerase chain reaction–restriction fragment length polymorphism (forced PCR–RFLP) methods. We also investigated haplotype structure and linkage disequilibrium (LD) coefficients for four SNPs in 817 individuals representing two main cattle breeds from China. The result of haplotype analysis showed eight different haplotypes and 27 combined genotypes within the study population. The statistical analyses indicated that the four SNPs, combined genotypes and haplotypes are associated with the withers height, body length, chest breadth, chest depth and body weight in Qinchuan cattle population (P < 0.05 or <0.01). The mutant-type variants and mutant haplotype (Hap 8: ATGG; likely to be the beneficial QTN allele) was superior for growth traits; the heterozygote diplotype was associated with higher growth traits compared to wild-type homozygote. Our results provide evidence that polymorphisms in the IGF2 gene are associated with growth traits, and may be used for marker-assisted selection in beef cattle breeding program.
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Acknowledgments
This study was supported by the National Natural Science Foundation of China (Grant No. 31272408 and 30972080), Agricultural Science and Technology Innovation Projects of Shaanxi Province (Grant No. 2012NKC01-13), Program of National Beef Cattle and Yak Industrial Technology System (Grant No. CARS-38) and National 863 Program of China (Grant No. 2013AA102505).
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Huang, YZ., Zhan, ZY., Li, XY. et al. SNP and haplotype analysis reveal IGF2 variants associated with growth traits in Chinese Qinchuan cattle. Mol Biol Rep 41, 591–598 (2014). https://doi.org/10.1007/s11033-013-2896-5
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DOI: https://doi.org/10.1007/s11033-013-2896-5