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Soybean identity important character SNP (single-nucleotide polymorphism) marker combined screening method and application thereof

A technology of soybeans and soybeans, which is applied in the direction of biochemical equipment and methods, and the measurement/inspection of microorganisms, can solve the problems of difficult existing varieties, accurate identification, etc., and achieve the effect of wide identification and adaptability

Active Publication Date: 2015-11-11
INST OF CROP SCI CHINESE ACAD OF AGRI SCI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The traditional identification methods are mainly morphological markers, physiological markers and biochemical indicators. With the increase in the number of variety resources, it is difficult to accurately identify existing varieties based only on these characteristics.

Method used

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  • Soybean identity important character SNP (single-nucleotide polymorphism) marker combined screening method and application thereof
  • Soybean identity important character SNP (single-nucleotide polymorphism) marker combined screening method and application thereof
  • Soybean identity important character SNP (single-nucleotide polymorphism) marker combined screening method and application thereof

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1、14

[0041] Example 1, Screening of 14 SNP site combinations GlySNP14

[0042] 254 phenotype-accurately identified germplasms from Northeast China and Huanghuai were used for SNP marker identification of important traits, including 102 northern germplasms and 152 Huanghuai germplasms (Table 1). By optimizing different combinations of SNP markers, the soybean germplasm ID card was finally constructed with the least number of SNP markers.

[0043] Table 1 shows the SNP sites of 254 soybeans

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[0059] 1. Screening of 14 SNP sites

[0060] 1) 23 SNP markers

[0061] In the present invention, 23 SNP markers come from 12 genes altogether, which are respectively related to pod-setting habit, hair color, ripening period, hundred-grain weight, soybean cyst nematode disease and mosaic virus disease resistance (Tab...

Embodiment 2、14

[0082] Example 2, 14 SNP loci combined with GlySNP14 to identify 60 northern soybean germplasms

[0083] 1. Extract soybean genomic DNA

[0084] Genomic DNA of 60 northern soybean leaves in Table 3 was extracted.

[0085] 2. Detection

[0086] The bases of the 14 SNP sites in the above soybean genomic DNA were detected by the mass spectrometry detection SNP typing (instrument: equinomMassarray genotyping system) technology of Bioyong Technologies Inc.

[0087] As a result, the bases of each SNP site of each soybean are shown in Table 3.

[0088] Table 3 is the nucleotides of 14 SNP sites on 60 northern soybean leaves and genome

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[0094] Using GlySNP14 to identify 60 northern soybean germplasms, the genetic diversity index of each SNP marker varied from 0 to 0.939, with an average value of 0.523. Among the 14 SNP markers, 7 SNPs had transversions, and the variation range was 0.451-0.918; 2 SNPs were deleted, and the ...

Embodiment 3、14

[0099] Example 3. Combination of 14 SNP loci GlySNP14 to identify 36 Huanghuaihai soybean germplasms

[0100] 1. Extract soybean genomic DNA

[0101] Genomic DNA of 36 Huanghuaihai soybean leaves in Table 4 was extracted.

[0102] 2. Detection

[0103] The bases of the 14 SNP sites in the above soybean genomic DNA were detected by the mass spectrometry detection SNP typing (instrument: equinomMassarray genotyping system) technology of Bioyong Technologies Inc.

[0104] As a result, the bases of each SNP site of each soybean are shown in Table 4.

[0105] Table 4 shows the nucleotides of 14 SNP sites on 36 Huanghuaihai soybean leaves and genome

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[0110] Using GlySNP14 to identify 36 Huanghuaihai soybean germplasms, the genetic diversity index of each SNP marker varied from 0 to 0.693, with an average value of 0.485. Among the 14 SNP markers, 8 SNPs had transversions, and the variation range was 0.349-0.668; 2 SNPs were deleted...

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Abstract

The invention discloses a soybean identity important character SNP (single-nucleotide polymorphism) marker combined screening method and application thereof. The invention provides application of a substance for detecting 14 SNP sites in identifying soybean germplasm. The invention provides an accurate reliable germplasm resource identification system which is simple and easy to implement. The system has wide identification adaptability, and is used for identification analysis on the soybean germplasm resources in different ecological regions in China, and the identification efficiency is up to 70% or above. The system doubtlessly has an active action on crop species resource management and species protective utilization and evaluation, and provides scientific references for crop new species authorization and germplasm material evaluation.

Description

technical field [0001] The present invention relates to the field of soybean variety identification or breeding. Specifically, the present invention relates to the construction and application of soybean ID cards. More specifically, the present invention relates to the construction and utilization of soybean variety ID cards by combining and screening soybean important traits SNP markers. Background technique [0002] Soybean (Glycinemax) is an annual herbaceous crop belonging to the genus Glycine of the Fabaceae family. The origin of soybean in China has been generally recognized by international scholars. my country is rich in soybean germplasm resources, and the number of preserved soybeans ranks first in the world. Soybean is also one of the important economic crops in my country. It is widely planted all over the country. So far, more than 1,800 soybean varieties have been bred and promoted. With the exchange of soybean germplasm resources and varieties, the phenomenon...

Claims

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Application Information

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IPC IPC(8): C12Q1/68
CPCC12Q1/6895C12Q2600/156
Inventor 邱丽娟魏中艳刘章雄关荣霞郭勇
Owner INST OF CROP SCI CHINESE ACAD OF AGRI SCI
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