Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A method for assisting identification of soybean mosaic virus resistance gene and its application

An auxiliary identification and leaf virus technology, applied in the field of soybean genetics, can solve the problems of long genetic distance between markers and genes and small application range, and achieve the effects of improving breeding efficiency and accuracy, efficient selection, and accelerated breeding

Inactive Publication Date: 2016-06-01
NORTHEAST AGRICULTURAL UNIVERSITY
View PDF1 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Theoretically, only molecular markers with a genetic distance of less than 5 cM from disease-resistant genes have the application value of molecular-assisted selection. The marker-gene genetic distance obtained from previous research results is relatively long, and the scope of application is small

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A method for assisting identification of soybean mosaic virus resistance gene and its application
  • A method for assisting identification of soybean mosaic virus resistance gene and its application
  • A method for assisting identification of soybean mosaic virus resistance gene and its application

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0031] The acquisition of the gene locus RsmvN1-2 of the resistance soybean mosaic virus disease (SMV) N1 strain of embodiment 1

[0032] 1. Construction of recombinant inbred lines and F2 segregation generation populations and identification of SMVN1 strains

[0033] Hybrid F1 was obtained by crossing Chinese soybean cultivars Dongnong 93-046(♀) and Hefeng 25(♂); the offspring were obtained by self-pollination of the hybrid F1 generation, and 130 offspring were obtained by single seed propagation (SSD) F2: 6th generation recombinant inbred line; hybrid F1 was obtained by crossing the above parents, and continued selfing to obtain 2000 seeds of F2 segregation generation individuals.

[0034] In 2007, 2008, and 2009, 130 strains and their parents were inoculated with N1 race in an independent aphid-proof net room, and the inoculation was repeated three times. In 2013, in an independent aphid-proof net room, 2000 F2 generation single plants and their parents were inoculated and...

Embodiment 2

[0052] Example 2 Application of gene locus RsmvN1-2 in assisted selection in hybrid high-generation populations

[0053] After obtaining the genetic locus RsmvN1-2 of soybean mosaic virus (SMV) N1 strains, Chinese soybean cultivars Dongnong 93-046(R) and conrad(S) were used for hybridization using the SSR64 and SG1 primer sequences ( shown in SEQ ID NO.1-NO.4) PCR amplification was performed on the obtained 150 F2:6 generation recombinant inbred lines, and the anti-sensitivity responses of these tested families to the two strains were predicted. The PCR amplification conditions, electrophoresis and genotype analysis conditions were the same as those given in Example 1. At the same time, 150 families were carried out for the identification of resistance to N1 virus strains, and the degree of agreement between the field identification results and the PCR amplification-assisted screening results of the marker sites was compared (see Table 2, figure 2 and image 3 ). figure 2...

Embodiment 3

[0056] Example 3 Application of Gene Locus RsmvN1-2 in F2 Segregation Generation Assisted Screening of Resistant and Sensitive Individual Plants

[0057] After obtaining the gene locus RsmvN1-2 of the N1 line resistant to soybean mosaic virus (SMV), using the molecular markers SSR64 and SG1 that co-segregate with the disease resistance locus, a pair of 60 Dongnong 93-046 was used as one of the parents to derive Genotyping of the F2 individual strains (the analysis method is the same as that described in Example 1) to predict the anti-sensitivity response of these tested individual strains to the SMVN1 strain. Simultaneously, 60 F2 individual plants were tested for N1 race resistance, and the results of field identification and marker-assisted screening were compared (see Table 3). The results showed that the results of marker-assisted screening were in good agreement with the actual resistance identification performance.

[0058] Table 3 The genotyping results of molecular ma...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a method for assisting in authenticating a soybean mosaic virus resistant gene and application thereof, and belongs to the field of the soybean genetic technology. According to the method, DNA is separated and extracted from soybeans to be tested, PCR amplification is carried out by marking primers of SSR 64 and primers of SG1 through molecules, whether marked genetic locus bands exist in amplification products of the primers of the SSR 64 or not is detected through electrophoresis and / or the gene types of the amplification products of the primers of the SG1 are analyzed by utilizing a genetic typing analysis system, and whether soybean germplasm resources to be detected have the mosaic virus resistant gene or not is determined. By the adoption of the method, high efficient selection of resistance materials of soybean mosaic virus N1 strain can be achieved, select breeding of new strain of anti-SMV soybeans can be quickened, a novel soybean cross parent selection system is established, waste of manpower and material resources can be reduced, seed breeding efficiency and accuracy are improved.

Description

technical field [0001] The invention relates to a method for assisting identification of a soybean mosaic virus resistance gene and an application thereof, belonging to the technical field of soybean genetics. Background technique [0002] Soybean (Glycinemax) originates in China and is an important economic crop. Soybean mosaic virus (SMV) disease is one of the main diseases that harm soybean production, seriously affecting soybean yield and quality. Breeding disease-resistant varieties is currently the most effective way to control the prevalence of SMV. The SMVN1 strain is one of the dominant virus strains in the Northeast soybean production area. The use of molecular marker technology to locate genes related to the resistance of N1 strain and closely linked molecular markers is beneficial to the breeding practice of molecular-assisted selection of resistant soybean varieties. [0003] Scholars at home and abroad have reported research in this area. In foreign countrie...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): C12Q1/68
CPCC12Q1/6858C12Q1/6895C12Q2600/13C12Q2600/156C12Q2531/113C12Q2565/125
Inventor 韩英鹏赵雪李海燕李文滨
Owner NORTHEAST AGRICULTURAL UNIVERSITY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com