Broiler chicken abdominal fat percentage molecular marker LPIN1 g.256 and detection method and application thereof
A technology of molecular markers and abdominal fat rate, applied in the field of poultry genetics and breeding, can solve the problems of less research and mining of molecular markers, high cost of molecular markers, short generation interval, etc., and achieve the effect of low cost, high accuracy and easy operation
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0021] Example 1 SNP site screening
[0022] 1. Subjects
[0023] With the selection standard of abdominal fat rate, select high abdominal fat rate group (recorded as H group) and low abdominal fat rate group (recorded as L group) two tail samples in five varieties, the selected variety and the two samples in each variety. The number of tail samples is as follows: 12 Guangxi Lingshan chickens, 12 bantam yellow chickens, 12 Jiangfeng ephedra chickens, 10 Zhicheng Xinghua chickens, and 10 recessive white-feathered Rock chickens.
[0024] Table 1 shows the statistics of the determination data of traits such as abdominal fat rate of the two-tailed samples of each variety. In the two tail samples of Lingshan chicken in Guangxi, there was no significant difference in live weight between group H and group L (P>0.05), and the average abdominal fat weight (173.25g) of group H was about 37.58g higher than that of group L (37.58g). 4.61 times, the average abdominal fat rate of group H ...
Embodiment 2
[0041] Embodiment 2 time-of-flight mass spectrometry analysis
[0042] The candidate SNP sites obtained by direct sequencing were genotyped in 500 N409 (Guangxi Lingshan chicken) populations using the time-of-flight mass spectrometry typing technology of Beijing Liuhe Huada Gene Technology Co., Ltd., and the SNP typing was performed by SPSS 21.0 software The results were combined with the slaughter traits related to abdominal fat (abdominal fat rate, abdominal fat weight), and the SNPs significantly correlated with the abdominal fat rate of yellow feather broilers were identified, as shown in Table 3 below.
[0043] Table 3 SNPs information table
[0044]
Embodiment 3
[0045] Example 3 Difference analysis between genotypes of SNPs significantly correlated with abdominal fat rate
[0046]Through SPSS 21.0 software, the analysis results of different genotypes in the SNP locus significantly correlated with abdominal fat rate, abdominal fat rate, abdominal fat weight, subcutaneous fat thickness and other traits are shown in Table 4.
[0047] Table 4 Difference analysis of genotypes of SNPs significantly correlated with abdominal fat rate
[0048]
[0049]
[0050] Note: The number in parentheses after the genotype indicates the number of samples of the genotype; the same letter among the three genotypes indicates no significant difference (P>0.05), different letters indicate significant difference (P<0.05), and no letter indicates the gene genotype was not significantly different from the other two genotypes.
[0051] Therefore, LPIN1 gene marker-assisted selection can be used to select broiler chickens with low abdominal fat rate in broi...
PUM
Login to View More Abstract
Description
Claims
Application Information
Login to View More 


