Genome-wide prediction marker group for corn ear rot and its application

Abstract

The present invention discloses a whole genome prediction marker group for corn ear rot and its application, the prediction marker group includes 381 molecular markers, and the specific information of the molecular marker group is shown in a table. The whole genome prediction marker group for corn ear rot described in the present invention can be used to predict the resistance phenotype of corn ear rot, with an accuracy of about 85%, which can fully meet the needs of corn resistance breeding and accelerate the breeding process of corn ear rot resistance. The whole genome prediction system established by the present invention through the marker group can predict and select the corn ear rot resistance phenotype of the DH line produced by breeding, and can also predict and select the early generation selection line in the breeding process, and can also predict the resistance performance of hybrids to ear rot, thereby shortening the breeding process of corn resistance to ear rot and accelerating the cultivation of new green varieties.

Description

Technical Field

[0001] The invention relates to the field of corn ear rot resistance breeding, and in particular to a corn ear rot whole genome prediction marker group and application thereof. Background Art

[0002] Corn ear rot is a worldwide disease that is relatively common and extremely harmful. The incidence rate of common varieties is 10% to 20%, and the incidence rate of susceptible varieties can reach about 50%, which can cause serious losses. This disease has become a prominent problem in corn production.

[0003] At present, the resistance breeding of corn ear rot is mainly carried out through artificial inoculation identification, which requires pathogen preservation, reproduction, artificial inoculation identification and other processes, with high technical requirements, high difficulty, and great environmental impact on the degree of disease, instability and other shortcomings. In addition, ear rot is controlled by micro-effect multiple genes, and it is difficult to solve its resistance breeding using molecular marker-assisted selection.

[0004] The use of molecular markers provided by the whole genome prediction marker group for corn ear rot combined with corresponding statistical algorithms to calculate breeding values ​​can enable early selection when DNA is obtained, shorten the generation interval, and accelerate genetic progress. Summary of the invention

[0005] To solve the above problems, the present invention provides a whole genome prediction marker group for corn ear rot and its application. The marker group is used to predict corn ear rot resistance, which can provide certain help for discovering corn ear rot resistance genes, studying corn ear rot resistance mechanisms, and thus improving corn yield and quality.

[0006] To achieve the above object, the technical solution adopted by the present invention is:

[0007] A whole genome prediction marker group for corn ear rot, which includes 381 markers, and the nucleotide sequences are shown in ID NO: 1 to ID NO: 381.

[0008] The corn ear rot whole genome prediction marker group described in the present invention can be used to predict the corn ear rot resistance phenotype with an accuracy rate of about 85%, which can fully meet the needs of corn resistance breeding and accelerate the breeding process of corn ear rot resistance.

[0009] The application of the whole genome prediction marker group for corn ear rot described in the present invention can be used for the selection of DH lines produced by breeding.

[0010] The whole genome prediction system established by the marker group in the present invention can be used to select DH lines produced by breeding, and can also be used to select early-generation selection lines in breeding. It can also predict the ability of hybrids to resist ear and kernel rot, thereby shortening the breeding process for resistance to ear and kernel rot and accelerating the cultivation of new green varieties. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] Other features, objects and advantages of the present invention will become more apparent from the detailed description of non-limiting embodiments made with reference to the following drawings:

[0012] Figure 1 It is a genome-wide association analysis of maize ear rot;

[0013] Figure 2 The specific distribution of marker groups on each chromosome for the whole genome prediction of corn ear rot;

[0014] Figure 3 Comparison of the prediction accuracy between randomly selected markers and the marker group of the present invention. DETAILED DESCRIPTION

[0015] The present invention is described in detail below in conjunction with specific embodiments. The following embodiments will help those skilled in the art to further understand the present invention, but are not intended to limit the present invention in any form. It should be noted that, for those of ordinary skill in the art, several variations and improvements may be made without departing from the concept of the present invention. These all belong to the protection scope of the present invention.

[0016] The applicant used 1,500,000 SNP markers covering the entire genome to conduct an association analysis on corn ear rot, filtered out markers with an allele frequency (MAF) less than 0.05, and combined with the average disease grade index of 4 environments to obtain molecular markers that are highly correlated with ear rot resistance (such as Figure 1 , -log(P): -log logarithm of the significant P value of the marker. A larger -log(P) value indicates a more significant marker).

[0017] Based on the significant markers obtained by association analysis and some molecular markers that have been published, a genome-wide prediction marker group for corn ear rot was established, which contains a total of 381 markers (Table 1). They are distributed on all 10 chromosomes of corn ( Figure 2 ).

[0018]

[0019]

[0020] The predictive effect of this marker group on corn ear rot.

[0021] Comparison of the prediction accuracy of 500 randomly selected molecular markers with that of the marker group revealed that the prediction accuracy of the marker group for corn ear rot was much higher than that of random markers (e.g. Figure 3 ).

[0022] Application Examples

[0023] In the early stage of breeding, 500 DH lines were tested for genotype before field propagation, and the marker group was used to predict their resistance to corn ear rot. The predicted results were used to eliminate DH lines with high susceptibility to corn ear rot, and the accuracy rate was about 85%. It can be seen that breeding time and resources were saved.

[0024] In addition, the molecular marker group provided by the whole genome prediction marker group of corn ear rot can be used to carry out early selection when DNA is available, shorten the generation interval and accelerate genetic progress.

[0025] The above describes the specific embodiments of the present invention. It should be understood that the present invention is not limited to the above specific embodiments, and those skilled in the art may make various modifications or variations within the scope of the claims, which do not affect the essence of the present invention.

Claims

1. Application of whole genome prediction marker group for corn ear rot, characterized by: It is used to predict the resistance phenotype of corn ear rot; the prediction marker group contains 381 molecular markers, and the molecular marker position information is shown in the following table:

Images