Detection method for single nucleotide polymorphism of cattle PPARbeta gene and molecular breeding method
A technology of single nucleotide polymorphism and detection method, which is applied in the field of detection of single nucleotide polymorphism of cattle PPARβ gene
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Embodiment 1
[0045] Example 1: Detection method of single nucleotide polymorphism of cattle PPARβ gene
[0046] 1. Design of PCR primers for cattle PPARβ gene
[0047] Taking the bovine PPARβ (AC_000180.1) sequence published by NCBI as a reference, the 195bp gene fragment of PPARβ gene from 71594bp to 71788bp Figure 4 and SEQ ID NO:5. Use Primer5.0 to design PCR primers that can amplify the 71616th region of the cattle PPARβ gene, and the primer sequences are as follows:
[0048] P3 (upstream primer): 5'-TCCTGTCTTCCCTTTCGTCC-3'20bp, see SEQ ID NO: 3;
[0049] P4 (downstream primer): 5'-GGAGACAACTCGCCCAAGAT-3'20bp, see SEQ ID NO: 4;
[0050] Using P3 and P4 primers to carry out PCR amplification on the cattle genome, a 427bp gene fragment including the 71616th position of the cattle PPARβ gene (AC_000180.1 sequence) can be amplified. After sequencing and identification of the amplified fragments, after analysis, It was found that there was a SNP polymorphism at position 71616 of the PP...
Embodiment 2
[0111] Example 2: Molecular breeding method based on single nucleotide polymorphism of cattle PPARβ gene
[0112] Genotype data: genotypes recognized by PvuII (AG and GG)
[0113] Production data: Birth weight of Nanyang and Jiaxian red cattle, as well as body weight, body height, body oblique length, bust, ischial end width, and daily gain at 6, 12, 18, and 24-month-old cattle.
[0114] Correlation analysis model: Descriptive analysis of the data is performed first to determine whether there are outliers, and then the least squares analysis is used to correct the data; according to the characteristics of the data, the SPSS (17.0) software is used to analyze the effects of production traits among genotypes. A fixed model was used in the analysis of genotype effects:
[0115] Y ijkl =μ+BF i +Month j +G k +e ijkl
[0116] Among them: Y ijkl is the observed value of traits, μ is the overall mean, BF i is the fixed effect of the i-th variety and farm, Month j is the fixe...
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