Multi-omics-based mining method for key gene of fat deposition trait of Nanyang black pigs

A technology of fat deposition and Nanyang black pig, which is applied in the fields of genomics, biochemical equipment and methods, proteomics, etc., can solve the problems of low mining and recognition accuracy

Pending Publication Date: 2021-02-23
NANYANG NORMAL UNIV
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Problems solved by technology

[0011] In order to solve the problem of low accuracy rate of pig fat deposition traits gene mining and identification by existing ...

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  • Multi-omics-based mining method for key gene of fat deposition trait of Nanyang black pigs
  • Multi-omics-based mining method for key gene of fat deposition trait of Nanyang black pigs
  • Multi-omics-based mining method for key gene of fat deposition trait of Nanyang black pigs

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Embodiment Construction

[0050]The technical solutions of the present invention will be apparent from the embodiment of the present invention, which will be described below in conjunction with the embodiment of the present invention. Based on the embodiments of the present invention, there are all other embodiments obtained without making creative labor without making creative labor premises.

[0051]SeeFigure 1-11The present invention provides the following technical solutions:

[0052]Nanyang black pig phenotype determination

[0053]12 heads 190 days, Nanyang, black pigs, from Nanyang, China, Xiyutan Black Pig Row, all pigs grow under the same natural conditions, during the experiment, the experimental pigs are free to eat and drink water, regularly clean, disinfect, and epidemic prevention Also carried out according to the routine immunization procedure of the pig farm. The test diet is dominated by corn, butterfly, adding crushed rice, vegetables, falling fruits and fine branies. The slaughter is carried out in...

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Abstract

The invention discloses a multi-omics-based mining method for a key gene of a fat deposition trait of Nanyang black pigs. According to the method, in order to solve the problem of the existing methodsthat the accuracy of mining and identifying of swine fat deposition trait genes is low, transcriptomes of musculi longissimus dorsi of six pairs of full-sib or half-sib Nanyang black pig individualsof 6 months old with extreme back fat thickness and intramuscular fat content are sequenced by using a high-flux sequencing technology, important fat deposition candidate genes are sought and identified on the basis of phenotype determination and under the assistance of bioinformatics analysis, meanwhile, two groups of Nanyang black pigs are subjected to genome resequencing to find out important fat deposition candidate difference genes, between-group remarkable-difference-expression genes are screened through integrating transcriptome data, re-sequenced data and QTL database information and using bioinformatics and functional genomics methods, and gene functions and signal channels of the between-group remarkable-difference-expression genes are predicted.

Description

Technical field[0001]The present invention belongs to the field of pig genetic (molecular) marking auxiliary selection, and the analysis of the positioning analysis of the pig fat deposition gene, gene-related function analysis, the analysis of porcine fat deposition properties related gene mutation sites, specifically based on multi-group Nanyang black pig fat deposited key gene mining method.Background technique[0002]Screening and excavation of functional genes affecting pork tanks are hot spots in pig molecule breeding. The index of pork quality is currently evaluated mainly with a thickness, meat, pH, tenderness, drip loss, cooking loss, and intramuscular fat content. Studies have shown that the thickness of the back is significant phenotypic related and genetics with many meat quality. Suzuki et al. (2005) analyzed 543 Dolock pork tanks, and the thickness of the back is positively correlated with the intramuscular fat content, the meat color L * value, pH and electrical conduct...

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Application Information

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IPC IPC(8): C12Q1/6888G16B20/00
CPCC12Q1/6888G16B20/00C12Q2600/124C12Q2600/158
Inventor 鲁云风张博王力园张雅文张浩雷霆邵亚伟
Owner NANYANG NORMAL UNIV
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