Bioinformatics Analysis Of Wheat Disease Resistance Molecular Markers

Triticum aestivum L.is one of the major food crops in the world today.In recent years,The main diseases include powdery mildew and various rust diseases have always affected wheat production.Lead to serious wheat disease.As time goes by,these germs will mutate with the replacement of wheat varieties.Therefore,disease-resistant breeding is an eternal research content for every breeding worker.By use of molecular breeding techniques to breed cultivars with long-lasting resistance and comprehensive resistance is the best strategy for wheat breeding.Bioinformatics integrates the application of biological knowledge,mathematical models,and computer operations to study nucleic acid sequences and proteins in order to obtain biologically meaningful information.With the rapid development of bioinformatics technology and the continuous enrichment of biological information resources,The electronic positioning of genes has been gradually developed.The technology is based on bioinformatics gene mapping technology,which Compared with traditional positioning technology is simpler and cheaper.The combination of molecular biology and bioinformatics technology provides a more effective method for wheat research.The aim of this study was to search for SSR and STS markers related to wheat powdery mildew resistance and rust resistance.Construct a database of wheat disease resistance molecular markers to locate them in the whole genome database of Chinese spring wheat.So as to locate disease resistance markers for physically.It lays the foundation for the fine positioning of genes and the cloning of genes.Make a bioinformatics research for could be successfully located genes to use functional predictions and functional annotations and KEGG analysis.In order to study the incidence of wheat powdery mildew and rust.To lay the foundation to study the pathogenesis of wheat disease and discover new genes for resistance to diseases and locate resistant genes and molecular marker-assisted breeding.The results of this paper are as follows:(1)On the Linux platform,368 disease-resistance markers were mapped to the Chinese spring wheat genome sequence by re-PCR method.Use MapChart2.1 software to map.A total of 247 disease-resistance-related genes were identified to the corresponding chromosome,which locates the most on the 2B chromosome.(2)Using software of Fgenesh gene function prediction to predict wheat disease resistance genes that can be successfully located.A total of 108 functional genes were predicted.Using B1ast2 go software to classify the obtained 108 gene nucleic acid sequences.There are 73 functional genes have been successfully annotated,there are 35 functional genes have not been successfully annotated.A total of 89 GO terminology information were obtained,there were 51 biological pathways and 23 cell assembly and 15 molecular function.Use the KEGG database to perform the metabolic pathway analysis for the functional genes.The 13 enzymes encoded by the 16 functional genes involved 11 biochemical pathways.(3)In the experiment,159 pairs of primers were used to carry out real-time PCR and amplify on 51 wheat samples.Construct a phylogenetic tree by use of NTSYS software.The genetic similarity coefficient is 0.66-0.90 and an average of 0.78.At 0.75,51 materials can be divided into nine categories.(4)Using the wheat 55 K chip to carry out SNP detection on 38 wheat varieties in the experiment.Make a UPGMA cluster diagram to divided 38 materials into five subgroups.