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

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...

AI Technical Summary

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 methods, the present invention provides a method for mining key genes of fat deposition traits of Nanyang black pigs based on multi-omics

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