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Analysis of Genetic Effects of FBP2 Gene on Milk Production Traits in Chinese Holstein (Bos taurus) |
LI Qian1, 2, LI Yan3, SHI Li-Jun4, GAO Yan-Xia1, LI Qiu-Feng1, SUN Dong-Xiao4, *, LI Jian-Guo1, * |
1 College of Animal Science and Technology, Hebei Agricultural University, Baoding 071001, China;
2 Hebei Animal Husbandry and Veterinary Institute, Baoding 071000, China;
3 College of Veterinary Medicine, Hebei Agricultural University, Baoding 071001, China;
4 College of Animal Science and Technology, China Agricultural University, Beijing 100193, China |
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Abstract Identification of functional genes and mutations that have large genetic effects on milk production traits can provide molecular information for marker-assisted selection in order to increase selection accuracy and accelerate genetic gain in dairy cattle (Bos Taurus). Nowadays RNA-seq is one of strategies for identification of key genes affecting complex traits in human (Homo sapiens), domestic animals and plants. In previous RNA-seq study on the transcriptomes of liver tissues from Chinese Holstein at different lactation stages (50 d before parturition , 15 d after parturition, 60 d after parturition), 40 candidate genes for milk production traits were identified. Of them, the fructose-bisphosphatase 2 gene (FBP2) was significantly differentially expressed among different periods. It encoded a gluconeogenesis regulatory enzyme which participated in glycogen synthesis from carbohydrate precursors and played an important role in gluconeogenesis. Thus, the purpose of this study was to further validate whether the FBP2 gene showed significant genetic effects on milk production traits in dairy cattle. By re-sequencing the entire exons, and 2 000 bp of 5' and 3' flanking regions of FBP2 gene using pooled DNA, 11 single nucleotide polymorphisms (SNPs) were detected, including 7 in 5' flanking region and 4 in 3' flanking region. These identified SNPs were genotyped with matrix-assisted laser adsorption time of flight mass spectrometry (MALDI-TOF-MS) technology and tested for association with 5 milk production traits in 1 099 Chinese Holstein from Beijing region. All 11 SNPs were found to be statistically significant for protein yield (P=0.0495~<0.0001). Also, 6 of them were significantly associated with protein percentage (P=0.0434~0.0004), 5 of them were significantly associated with milk yield (P=0.018~0.007) and 1 SNP was significantly associated with fat yield (P=0.0143). The additive and allele substitution effects of the most SNPs reached significance (P<0.05, P<0.01). On the other hand, with linkage disequilibrium (LD) analysis, the 11 SNPs were found to be highly linked (r2=0.48~0.99), and 2 blocks were inferred. Haplotype-based association analysis showed that the 6 haplotype combinations in block 1 were significantly associated with the 5 milk traits (P=0.0413~<0.0001), and the haplotype combinations in block 2 were significantly associated with milk yield, fat yield, protein percentage and protein yield (P=0.0413~<0.0001). H2 and H3 in block1 and H2 in block2 were advantegous haplotypes for higher milk yield and composition. This study first indicated that the FBP2 gene had significant genetic effects on milk yield and milk composition traits in dairy cattle, especially affecting milk protein, and could be useful to provide valuable gene information for molecular breeding programs of Chinese Holstein.
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Received: 07 January 2019
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Corresponding Authors:
jgli@hebau.edu.cn;sundx@cau.edu.cn
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