Construction Of Biological Pathways Of Potato Late Blight Resistance-related Gene And The Role In Resistance

Potato(Solanum tuberosum) is the fourth largest food crop in the world, after rice, wheat and corn. Potato production suffered from a variety of plant diseases and insect pests, including potato late blight caused by oomycetes(Phytophthora infestans) which is the most devastating diseases. Therefore, one of the main objective in breeding is cultivating potato varieties with durable late blight resistance. In order to study the potato disease-resistant mechanism, there were many literatures having reported a lot of late blight induced genes with different potato materials and different treatments, these genes were likely to be related to the resistance, but it was too laborious to analyze these genes one by one. In this study, we aimed to analyze these genes’ network from the whole metabolic pathways, through collect and classify these genes reported by others and our laboratory, and we classified these genes through kinase and transcription factor aspects, finally, classification analysis in the overall level of GO were conducted with all the potato late blight resistant-related genes. The follows are main research results:1. The classification results showed that the genes mapped in metabolic network in the process of potato late blight involved in the carbohydrate metabolism, amino acid metabolism, nucleic acid metabolism and secondary metabolism pathways. The statistical analysis from KEGG metabolic pathways showed that in the 42 metabolic pathways, the biggest one is amino acid metabolism, the second is secondary metabolism pathway. From the constructed five levels of metabolic pathways system, we can investigate the full information of resistance associated gene in metabolic pathways.2. Tese genes did not mapped to metabolic pathways were further analyzed using iTAK database, and the result shows that all 517 kinase genes were divided into 4 kinase classes: Transmembrane Receptor Kinase and Related non- Transmembrane Kinases; ATN1/CTR1/EDR1/GmPK6 like Kinase; Non-Transmembrane Protein Kinases and Other and Unclassified Protein Kinase.3. The result sorting transcription factors and transcriptional regulators in resistancerelated genes by using iTAK database showed that resistance-related genes can be divided into 46 classes. This study believes that we can take some important types of transcription factors as a whole by this classification.4. The result of GO analysis shows that these genes distributed in three GO terms, CC(cellular component), MF(molecular function) and BP(biological process), and the genes in immune metabolic processes could be the focused genes, in addition, there are a lot of genes involving in other biological processes.This study first using bioinformatics technology integrating the late blight resistance-related genes have been reported in studies, classifying these resistance-related genes to metabolic pathways in accordance with the functional classification, and building a distribution network, analyzing these biological pathways, to provide an open platform for further study of these pathways or the genes in them, and provide the basic information about late blight resistant mechanism research.