Eight SNP loci for identifying Tan sheep and non-Tan sheep and application thereof
A non-tan sheep and locus technology, applied in the identification of 8 SNP loci of Tan sheep and non-tan sheep and their application fields, can solve problems such as brand damage of Tan sheep
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Embodiment 1
[0061] Example 1. Discovery of SNP site combinations for identification of Tan sheep and non-Tan sheep and establishment of detection methods
[0062] 1. Discovery of SNP loci for identification of Tan sheep and non-Tan sheep
[0063] Genomic DNA was extracted from the blood or ear tissues of 50 Tan sheep (from Yanchi County, Ningxia) and 50 Feitan sheep (from Ningxia, Inner Mongolia, etc.). Genomic DNA was resequenced with the Illumina Hiseq X10 instrument, and then analyzed by R software to obtain 25 SNP sites that are different from Tan sheep and non-Tan sheep, and R programming was used to analyze and delete the sites with poor call rate. 模型分析的16个位点如下:10_29432742、14_24803652、14_24807700、14_24812228、15_72453265、15_72476712、19_2161140、20_44865529、25_34435605、2_42344462、2_80645369、3_12248645、6_94503480、6_94540642、7_88811445、7_89505361。
[0064] The physical positions of the 16 SNP sites were determined based on the comparison of the Tan sheep whole genome standard sequence, t...
Embodiment 2
[0190] Example 2. Blind test-verification of the accuracy of identifying Tan sheep and non-Tan sheep by combining 4 SNP loci
[0191] Sample: 576 Tan sheep and non-Tan sheep
[0192] Experimental method: use the method for identifying or distinguishing Tan sheep and non-Tan sheep established in Example 1 to detect the genotype of each sample, and obtain the genotyping information of the combination of 4 SNP loci for each individual. Compare the identification results with the real results given by experts to test the identification accuracy, false positive rate and false negative rate. Based on the results of the first blind test, the model is optimized by optimizing the training set through machine learning. According to the optimized model, the samples were tested again blindly, and the accuracy rate, false positive rate and false negative rate were evaluated.
[0193] Experimental results: A total of 419 Tan sheep samples and 151 non-Tan sheep samples were identified in t...
Embodiment 3
[0194] Example 3, Blind Test II Verifies the Accuracy Rate of Identification of Tan Sheep and Non-Tan Sheep by Combination of 4 SNP Sites
[0195] Sample: 768 Tan sheep and non-Tan sheep
[0196] Experimental method: use blind test-optimized training set to detect the genotype of each sample by using the method of identifying or distinguishing Tan sheep and non-Tan sheep constructed in Example 1 for 768 samples, and obtain 4 SNP positions of each individual Point combined genotyping information, conduct a second blind test, compare the identification results with the results given by experts, and calculate the identification accuracy, false positive rate and false negative rate.
[0197] Experimental results: 679 of the 768 samples were genotyped, and a total of 503 Tan sheep samples and 176 non-Tan sheep samples were identified by the blind test. Compared with the actual species of the samples given by the experts, the identification accuracy was calculated as 68.5%, the fal...
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