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Single nucleotide polymorphism (SNP) sites remarkably associated with grain number per ear of wheat and application of SNP sites in genetic breeding of wheat

A technology for the number of grains per ear and wheat, which is applied in the field of plant molecular markers, can solve the problems of high requirements and high cost of wheat, and achieve the effects of efficient detection of markers, improvement of efficiency and accuracy, and improvement of efficiency

Pending Publication Date: 2021-11-23
SHANDONG AGRICULTURAL UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

High-density SNP sites can be obtained through second-generation or third-generation sequencing, but the cost is relatively high for wheat (16G) with a large genome, and the processing of sequencing data, sequence comparison, genotyping and other processes require data analysis. Higher, requires personnel with professional bioinformatics background to complete

Method used

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  • Single nucleotide polymorphism (SNP) sites remarkably associated with grain number per ear of wheat and application of SNP sites in genetic breeding of wheat
  • Single nucleotide polymorphism (SNP) sites remarkably associated with grain number per ear of wheat and application of SNP sites in genetic breeding of wheat
  • Single nucleotide polymorphism (SNP) sites remarkably associated with grain number per ear of wheat and application of SNP sites in genetic breeding of wheat

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0033] Example 1 Identification of SNPs by Simplified Genome Sequencing

[0034] 1.1 Sequencing materials

[0035] 768 wheat cultivars (lines) were selected for simplified genome sequencing and SNP identification. These materials are mainly wheat varieties and elite lines from the main wheat producing areas in my country, including the Huanghuai wheat area, the northern winter wheat area, the middle and lower reaches of the Yangtze River wheat area, and the southwest wheat area.

[0036] 1.2 Research Methods

[0037] 1.2.1 Wheat genomic DNA extraction

[0038]Seedling leaves were used to provide genomic DNA. DNA was extracted using the improved CTAB (cetyl trimethylammonium bromide) method (Stewart and Via, 1993). Specific operation: take young wheat leaves in a 2mL centrifuge tube, freeze them with liquid nitrogen and grind them into powder on a tissue grinder; (b) add 800 μL CTAB to the 2mL tube, place in a 65°C water bath for 90 minutes, and gently Shake 5-8 times to f...

Embodiment 2

[0047] Example 2 Genome-wide Identification of Quantitative Traits Gene Loci of Wheat Grain Number per Ear

[0048] 2.1 Materials

[0049] 768 parts of wheat materials used for genotype identification by GBS technology are the same as in Example 1.

[0050] 2.2 Method

[0051] 2.2.1 Identification of grain number per panicle

[0052] In order to identify the grain number (GN) of these materials, these 768 wheat materials were planted in Tai'an Mountain in the 2017-2018 (TA17), 2018-2019 (TA18), and 2019-2020 (TA19) wheat growth years. Agricultural University Experiment Station, and planted in Yantai, Luoyang and Guiyang in 2017-2018. Each material was planted in one row with a row length of 3 meters and a row spacing of 25 centimeters. Each row was sown with 50 full seeds, two repetitions were set, and conventional field management was performed.

[0053] 2.2.2 Genome-wide association analysis

[0054] For all the identified 432588 SNP sites, further screen the SNP sites ...

Embodiment 3

[0063] Example 3 Application of Wheat Grain Number QTL in Genome Prediction

[0064] 3.1 Materials

[0065] With embodiment 1.

[0066] 3.2 Method

[0067] 3.2.1 Phenotypic identification of grain number per panicle

[0068] With embodiment 1.

[0069] 3.2.2 Prediction model construction

[0070] Genome-wide selection models were constructed using the rrBLUP method in R software, respectively. A prediction model was constructed using the identified 50 significant SNP markers to evaluate the predictive ability of the QTLs. At the same time, the same number of random SNP sites were extracted from the whole genome to build a prediction model to evaluate the prediction effect of random markers.

[0071] 3.2.3 Cross Validation of Predictive Models

[0072] The prediction accuracy of the model was analyzed using 5-fold cross-validation. That is to say, the whole group is randomly divided into 5 parts, one of which is used as a breeding group, and the other 4 parts are used a...

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Abstract

The invention discloses a group (50) of SNP (Single Nucleotide Polymorphism) loci obviously associated with the grain number per ear of wheat and an application method of the SNP loci in inheritance and breeding. The SNPs are identified by performing simplified genome sequencing (GBS) on 768 wheat varieties and excellent strains from main wheat producing areas in China, comparing reference genome sequences to explore single nucleotide polymorphisms (SNPs) and then performing whole genome association analysis. The SNP site is high in accuracy, can be used for being converted into a KASP marker and an SNP chip, and is widely applied to positioning of related genes of the grain number per ear of wheat, fine mapping and candidate gene identification as well as marker-assisted selective breeding and whole-genome selective breeding of the grain number per ear of wheat, new germplasm and new species of wheat with increased grain number per ear of wheat are bred, and the yield of wheat is increased.

Description

technical field [0001] The invention relates to the technical field of plant molecular markers, in particular to a group of SNPs significantly associated with gene loci related to wheat spike number and its application in genetic and molecular breeding of wheat spike number. Background technique [0002] Wheat is one of the most important food crops. It is an important goal of wheat breeding at home and abroad to continuously select new high-yield varieties and continuously increase wheat yield. Wheat yield is mainly composed of three elements: number of spikes per unit area, number of grains per spike, and grain weight. Affected by the genetic characteristics of the variety and environmental conditions, the variation range of the number of spikes and grains per unit area is greater than the number of spikes per unit area and grain weight. On the basis of the three elements of panicle number, panicle grain number and grain weight, strengthening the selection of panicle grain...

Claims

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Application Information

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IPC IPC(8): C12Q1/6895C12Q1/6858C12N15/11
CPCC12Q1/6895C12Q1/6858C12Q2600/13C12Q2600/156C12Q2531/113
Inventor 刘树兵庞昀龙朱华强梁云龙燕强
Owner SHANDONG AGRICULTURAL UNIVERSITY
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