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SNP marker related to pig backfat thickness and utilization method thereof

A pig backfat thickness and marking technology, applied in the field of pig breeding, can solve problems such as large confidence intervals

Active Publication Date: 2021-09-07
AGRI GENOMICS INST CHINESE ACADEMY OF AGRI SCI
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Studies have found that genetic factors are the most important reason for pig backfat thickness. However, the number of quantitative trait loci (QTL) related to pig backfat thickness found so far is relatively large, and the confidence interval is large, so it is difficult to pass the QTL Mapping identifies causal mutation affecting backfat thickness

Method used

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  • SNP marker related to pig backfat thickness and utilization method thereof
  • SNP marker related to pig backfat thickness and utilization method thereof
  • SNP marker related to pig backfat thickness and utilization method thereof

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Experimental program
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Embodiment approach

[0024] According to a preferred embodiment of the present invention, the SNP marker located at the 312,813,451 bp of chromosome 1 of the Sscrofa10.2 version sequence of the porcine reference genome has a C / T polymorphism.

[0025] Among them, the two alleles of this SNP site are C and T, the gene frequency of C is 0.9773, the gene frequency of T is 0.0627, and C is the dominant allele.

[0026] In a further preferred embodiment, the pigs whose genotype is TT at the SNP site at No. 312,813,451 bp of chromosome 1 of the Sscrofa10.2 version sequence of the pig reference genome have more genetic characteristics than pigs whose genotypes are TC and CC. Low backfat thickness.

[0027] In the present invention, there are three genotypes corresponding to the SNP site at No. 1 chromosome 312,813,451bp of the pig reference genome Sscrofa10.2 version sequence, respectively TT, TC and CC, and the TT genotype is that the site is Homozygous for base T, TC genotype is heterozygous for this ...

Embodiment 1

[0069] Example 1 Obtaining of SNP sites

[0070] 1. Test group

[0071] The pig population used in this example is 1148 pigs from Hebei Meishen original sow farm, including 588 Large White pigs, 371 Landrace pigs and 189 Duroc pigs.

[0072] 2. Determination and correction of backfat thickness

[0073] When the pig’s individual weight is in the range of 85-105kg, the backfat thickness of the living body is measured, and the backfat thickness of the penultimate 3rd to 4th intercostal space is measured by B-ultrasound scanning, in millimeters; finally, the pig’s body weight of 100kg is calculated according to the following correction formula Live backfat thickness:

[0074] The relationship between the corrected backfat thickness and the measured backfat thickness is:

[0075] Corrected backfat thickness = measured backfat thickness × CF (where: CF = A÷{A+[B×(measured body weight-100)]});

[0076] Wherein, sow CF value=(measured body weight / measured age)×1.714615.

[0077...

Embodiment 2

[0100] Example 2 Correlation results between different genotypes of SNP loci and backfat thickness

[0101] Get the genomic DNA of the pig population in Example 1, adopt the Neogen_POR80K of Neogen Company to detect the genotype of each individual, extract the sequence of the polymorphic site by R language, and count the genotype frequency and gene frequency distribution of the SNP site, The results are shown in Table 2:

[0102] Table 2

[0103]

[0104] It can be seen from Table 2 that C is the dominant allele, and CC genotype is the dominant genotype of the test population.

[0105] The Kruskal-Wallis method was used to test the significance of differences between the genotype data and phenotype data using Rstudio software, and a P-value<0.05 indicated a significant difference. The results of the correlation analysis are shown in Table 3:

[0106] table 3

[0107]

[0108] It can be seen from Table 3 that there are significant differences in the corrected backfat ...

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Abstract

The invention discloses an SNP marker significantly related to pig backfat thickness and a utilization method thereof. The SNP marker is located at 312bp, 813bp and 451bp positions of chromosome No.1 of a pig reference genome Sscrofa10.2 version sequence, and the SNP marker has specific C / T polymorphism; and compared with pigs with genotypes of TC and CC, the pig with the genotype of TT has lower backfat thickness. The SNP marker obviously related to the pig backfat thickness can be used for identifying or assisting in identifying individuals with low pig backfat thickness, molecular markers for assisting breeding are enriched, the breeding speed of good pig breeds is increased, the steps of pig molecular breeding are accelerated, meanwhile, a feasible scheme is provided for breeding of pigs with low backfat thickness, the method is suitable for popularization and application, and the economic benefits of pig production enterprises are improved.

Description

technical field [0001] The invention belongs to the technical field of pig breeding, and in particular relates to a SNP marker related to pig backfat thickness and an utilization method thereof. Background technique [0002] The level of pig growth performance is mainly reflected in aspects such as muscle content, fat content, pork quality and feed utilization rate. In the process of modern animal husbandry, backfat thickness is an important index for measuring live performance. This trait can affect not only growth traits related to lean meat percentage, but also reproductive traits related to litter size. At the same time, in the genetic improvement of important economic traits of pigs, backfat thickness is also an important reference index to measure the quality of pig breeds, and is often used for breeding good breeds. [0003] Studies have found that genetic factors are the most important reason for pig backfat thickness. However, the number of quantitative trait loci...

Claims

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Application Information

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IPC IPC(8): C12Q1/6888C12N15/11
CPCC12Q1/6888C12Q2600/124C12Q2600/156Y02P60/87
Inventor 唐中林范新浩易国强王斌虎
Owner AGRI GENOMICS INST CHINESE ACADEMY OF AGRI SCI
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