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A method for identifying the age and eye muscle area of ​​pigs up to 100kg body weight based on bmp7 gene

A technique for eye muscle area and identification of pigs, applied in the field of genetic engineering

Active Publication Date: 2020-04-24
INST OF ANIMAL SCI OF CHINESE ACAD OF AGRI SCI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

People's lives are constantly improving, and traditional farming techniques can no longer meet people's demand for pork

Method used

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  • A method for identifying the age and eye muscle area of ​​pigs up to 100kg body weight based on bmp7 gene
  • A method for identifying the age and eye muscle area of ​​pigs up to 100kg body weight based on bmp7 gene
  • A method for identifying the age and eye muscle area of ​​pigs up to 100kg body weight based on bmp7 gene

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0061] Embodiment 1, a kind of method based on BMP7 gene identification pig reaches 100kg body weight days age and eye muscle area

[0062] One, the screening of the SNP site of porcine BMP7 gene

[0063] 1. Extraction of DNA from pig ear tissue samples

[0064] The blood samples of 32 Landrace pigs from Hebei pig farms were collected respectively. After the samples were collected, they were stored in 75% alcohol and stored at -20°C. The genomic DNA of blood samples was extracted by phenol-chloroform extraction, and the specific steps were as follows:

[0065] (1) Preparation of ear tissue samples: Cut ear tissue samples of moderate size, wash away impurities and blood stains on the surface with normal saline, put them in a 1.5ml centrifuge tube, cut them into pieces with ophthalmic scissors, and add 500uL of tissue to it Lysis solution (Beijing Baitaike Biotechnology Co., Ltd.; product number: AU19011);

[0066] (2) According to the size of the cut ear tissue sample, add 1...

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Abstract

The present invention discloses a method for identifying the day-age for achieving a 100 kg pig and the loin eye muscle area. The method is the following method (1) or (2): (1) detecting whether the 422 site deoxyribonucleotide of the fourth intron of the BMP7 gene of an individual pig is T or C or T and C; and (2) detecting the 241 site deoxyribonucleotide of the fifth intron of the BMP7 gene of an individual pig is T or C or T and C. According to the present invention, the experimental results prove that the determination result of the method for identifying the day-age for achieving the 100 kg pig and the loin eye muscle area by using the 422 site single nucleotide polymorphism of the four intron and the 241 site single nucleotide polymorphism of the fifth intron of the BMP7 gene is consistent with the actual determination result so as to provide the important significance for the selection of the excellent pig breeder.

Description

technical field [0001] The invention belongs to the field of genetic engineering, and in particular relates to a method for identifying the age and eye muscle area of ​​pigs up to 100 kg body weight based on the BMP7 gene. Background technique [0002] Pig is the first of the six livestock, and the pig industry occupies an important position in the world, especially in China's national economy. The proportion of pork in many meat products has been maintained at about one-third, and it is one of people's favorite non-staple foods. People's lives are constantly improving, and traditional breeding techniques can no longer meet people's demand for pork. With the development of modern breeding technology, the production performance of pigs has been significantly improved, and the healthy breeding and fattening of pigs is particularly important. [0003] The age of pigs reaching 100kg body weight is an important indicator for evaluating the growth rate of pigs, which can indirec...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): C12Q1/6888
CPCC12Q1/6888C12Q2600/124C12Q2600/156
Inventor 唐中林李奎梁如意杨亚岚
Owner INST OF ANIMAL SCI OF CHINESE ACAD OF AGRI SCI
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