Detection method for cattle RET (Reticulocyte) gene single nucleotide polymorphism site and detection kit and application thereof
A single nucleotide polymorphism and detection kit technology, applied in the field of biological genetic engineering, can solve problems such as disease in offspring, loss of household or feedlot, inability to screen for HSCR pathogenic mutation sites, etc., and achieves important economic value. low cost effect
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Embodiment 1
[0047] Example 1 Amplification of Cattle RET Gene Sequence and Detection of Polymorphic Sites
[0048] 1.1 Design of PCR primers for cattle RET gene
[0049] Taking the bovine RET (AC_000185.1) sequence published by NCBI as a reference, the 219bp gene fragment of the RET gene from 34669bp to 34887bp is as follows figure 1 shown. Use Primer 5.0 to design a PCR primer pair that can amplify the 34690th region of the cattle RET gene. The primer sequences are as follows:
[0050] Upstream primer P3: 5'-TCTCTGGGCTGAGTGGGAAA-3';
[0051] Downstream primer P4: 5'-CAAGGAAGCCCACCAGTCAG-3';
[0052] Using P3 and P4 primers to carry out PCR amplification on the cattle genome, a 486bp gene fragment including the 34690th position of the cattle RET gene (AC_000185.1 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 34690 of the RET gene.
[0053] Since there is no natural...
Embodiment 2
[0112] Example 2 The application of the single nucleotide polymorphism site detection method of yellow cattle RET gene in molecular breeding
[0113] Genotype data: genotypes (AG, GG and AA) recognized by MaeI (XspI).
[0114] 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 red cattle.
[0115] Correlation analysis model: First, describe and analyze the data to determine whether there are outliers, and then use the least square method to analyze and correct the data; according to the data characteristics, use SPSS (18.0) software to analyze the effects of production traits among genotypes. A fixed model was used in the analysis of genotype effects:
[0116] Y ijkl =μ+BF i +Month j +G k +e ijkl
[0117] 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 ...
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