Technical system which has inclusiveness and can accurately identify, excavate and clone alleles of rice blast Pita disease-resistant gene family

Abstract

The invention discloses a technical system which has inclusiveness and can accurately identify, excavate and clone alleles of a rice blast Pita disease-resistant gene family. According to the technical system, two-stage detection markers are set according to two-stage differentiation such as clear functional haplotype-disease-resistant allele existing in the gene family. The technical system can be used for identifying, excavating and cloning alleles of the rice blast Pita disease-resistant allele family, and has systematic and rigorous inclusiveness and comparability. The invention can be widely applied to improving the purposiveness and efficiency of resource utilization of gramineous crops including but not limited to rice germplasm, improving the purposiveness and efficiency of disease-resistant breeding work, improving the reasonable layout of disease-resistant varieties and prolonging the service life of the disease-resistant varieties.

Description

technical field [0001] The invention belongs to the field of agricultural biotechnology, and more specifically relates to a set of inclusive and accurate technical system for identifying, excavating and cloning alleles of rice blast Pita disease resistance gene family. Background technique [0002] Rice is one of the most important food crops in the world, and the rice blast caused by Pyricularia eryzae is one of the most serious limiting factors of rice production, causing a large amount of food loss every year. From the point of view of environmental protection and agricultural sustainable development, the breeding and utilization of disease-resistant varieties is the safest and most effective way to control rice blast. Traditional rice disease resistance breeding relies on direct identification and selection of resistance phenotypes of breeding materials, which not only requires breeders to have rich experience in inoculation and investigation, but is also easily affected...

AI Technical Summary

Problems solved by technology

For complex genomic regions and complex gene families, three prominent and realistic problems arise from this: (1) Any single molecular marker that is not designed based on its evolutionary level is difficult to identify in complex genomic regions and complex gene families. Gene families are prone to problems such as sequencing errors; (2) Any single molecular marker that is not designed based on its evolutionary level is difficult to avoid the problem of false positive or negative markers due to technical limitations of molecular markers; (3) Any single molecular marker that is not designed based on its evolutionary level cannot constitute an inclusive and comparable technical system to continuously mine, identify and name new genes in complex gene families, and identify easily Problems such as "synonymous heterogeneous genes" and "true and false target genes"

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