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A method for mining oil metabolism mechanism of corn kernels based on dynamic association analysis

A dynamic association, grain technology, applied in the field of plant molecular biotechnology and genetic engineering, can solve the problems of time-consuming, labor-intensive, regulatory relationship, unknown genetic and molecular mechanisms, etc.

Inactive Publication Date: 2020-10-27
UNIV OF JINAN
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Linkage analysis and association analysis are relatively common methods used to analyze the genetic mechanism of corn oil metabolism. These two analysis methods are aimed at mining the genetic loci that control oil phenotypic traits by establishing the relationship between phenotype and genotype. However, these genetic loci are relatively independent, and the regulatory relationship, genetic and molecular mechanisms between them are unknown, and traditional analysis methods require years of multi-point phenotypic identification, which is time-consuming and laborious

Method used

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  • A method for mining oil metabolism mechanism of corn kernels based on dynamic association analysis
  • A method for mining oil metabolism mechanism of corn kernels based on dynamic association analysis
  • A method for mining oil metabolism mechanism of corn kernels based on dynamic association analysis

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Embodiment 1

[0052] A method based on dynamic association analysis to mine the regulatory mechanism of corn oil metabolism, including six steps, the collection of gene expression data, the collection of 26 oil-related genes, the collection of QTL mapping results for oil content in corn kernels, and the oil content of associated groups collection of quantitative data, genome-wide LA analysis of oil-related genes, see figure 1 .

[0053] (1) Collection of gene expression data:

[0054] 368 inbred lines (maize varieties used in the present invention can be any variety, including 35 high-oil maize inbred lines cultivated by Professor Song Tongming of China Agricultural University (Yang et al., 2010b)) were planted in Jingzhou, Hubei in 2010, according to The pedigree information was divided into 2 groups (tropical, subtropical, and temperate). In the group, a completely random block method was used, and 2 replicates were set up. Each inbred line was planted with 1 row for each replicate. Al...

Embodiment 2

[0075] A method of the present invention based on dynamic correlation analysis to analyze the genetic and molecular mechanism of corn oil metabolism, mainly including six steps, the collection of gene expression data, the collection of 26 oil-related genes, and the location of QTL for oil content in corn kernels The collection of results, the collection of grain oil content data of associated populations, and the genome-wide LA analysis of oil-related genes, the specific process is shown in figure 2 .

[0076] (1) Collection of gene expression data:

[0077] 368 inbred lines (same as in Example 1) were planted in Jingzhou, Hubei in 2010, and were divided into 2 groups (tropical, subtropical, and temperate) according to the pedigree information. The group used a completely randomized block method, with 2 replicates, each Inbred lines were seeded in 1 row per replicate. All materials were self-crossed, immature grains 15 days after pollination (15 DAP) were harvested, 3-4 ear...

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Abstract

The invention belongs to the fields of plant molecular biotechnology and gene engineering and particularly relates to a method for exploring a lipid metabolism mechanism of corn kernels based on dynamic association analysis. The method specifically comprises the following steps: collecting gene expression quantity data of a corn selfing line; collecting gene data associated with oil content of the corn kernels; collecting oil content data of the kernels of association group formed by the corn selfing line; establishing a dynamic association analysis LA model; exploring a control gene for controlling dynamic change of a coexpression mode of 26 oil content associated genes in a whole genome range, and authenticating a candidate gene dynamically associated with the coexpression mode of the 26 oil content associated genes; carrying out function annotation on the candidate gene; detecting whether the candidate gene is in a QTl section of oil content characters; and carrying out section association analysis on oil content phenotype data of the corn selfing line. By taking the control of dynamic association of the coexpression mode of the known oil content associated genes as a key point, the control gene for controlling lipid metabolism of the kernels can be rapidly and effectively authenticated.

Description

technical field [0001] The invention belongs to the fields of plant molecular biotechnology and genetic engineering, and in particular relates to a method for digging the mechanism of oil metabolism in corn grains based on dynamic correlation analysis. Background technique [0002] Corn is one of the three major crops in the world. Since the 1990s, the world's total corn production surpassed rice and wheat for the first time, becoming the first food crop. A large amount of storage material including starch, oil and protein accumulates in the corn kernel. With the improvement of people's living standards and changes in dietary structure, as well as the development of starch and oil processing industries, corn varieties have gradually changed from yield-oriented to quality-oriented, and the quality and specificity of corn have become more and more important. [0003] Corn oil is rich in various trace elements such as vitamin E, and the content of unsaturated fatty acids is mo...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): C12Q1/6869C12Q1/6895G16B40/00G16B25/10
CPCC12Q1/6869C12Q1/6895C12Q2600/156C12Q2600/158G16B25/00G16B40/00C12Q2525/191C12Q2535/122C12Q2537/165
Inventor 李慧许秀勤车荣会裴腊明李鹏何琳琳高幸幸
Owner UNIV OF JINAN
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