Genetic variations in insulin-like growth factor binding protein acid labile subunit gene associated with growth traits in beef cattle (Bos taurus) in China |
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| Authors: | Yu Liu Xiaoyan Duan Xiaolin Liu Jiazhong Guo Hongliang Wang Zhixiong Li Jing Yang |
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| Affiliation: | 1. College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China;2. HeBei North University, Zhang Jiakou, Hebei 075000, China;3. College of Animal Science and Technology, Sichuan Agricultural University, Yaan, Sichuan 625014, China |
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| Abstract: | The insulin-like growth factor binding protein acid labile subunit (IGFALS) gene encodes a serum protein that binds to IGFs and regulates growth, development, and other physiological processes. We have found that sequencing of the IGFALS gene in Chinese Qinchuan beef cattle (n = 300) revealed four SNP loci in exon two of the gene (g1219: T>C, g1893: T>C, g2612: G>A, and g2696: A>G). The SNP g2696: A>G resulted in a change from asparagine to aspartic acid (p. N574D) in the leucine-rich repeat region in the carboxyl-terminal domain of IGFALS. Four SNPs were in low linkage disequilibrium, and 12 different haplotypes were identified in the population. Association analysis suggested that SNP g1219: T>C had a significant association with hip width (P < 0.05) and SNP g2696: A>G displayed a significant association with stature (P < 0.05). The results from our investigation indicated that polymorphisms in the IGFALS gene were associated with growth traits of bovine, and may serve as a genetic marker for selection of beef cattle for growth traits, including stature. |
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| Keywords: | IGFALS, Insulin-like growth factor binding protein acid labile subunit SNP, Single nucleotide polymorphism QTL, Quantitative trait locus STA, Stature BL, Body length HW, Hip width BW, Body weight CW, Carcass weight PCR-RFLP, Polymerase chain reaction-restriction fragment length polymorphism RE, Restriction enzyme NE, Effective number He, Heterozygosity Ho, Homozygosity HWE, Hardy&ndash Weinberg equilibrium PIC, Polymorphism information content LD, Linkage disequilibrium GLM, General linear model |
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