| As one of the most important food crops in the world,rice production affects the food and clothing of people around the world and even the global economic stability.As a model fungus,Pyricularia oryzae not only seriously affects rice production,but also infects other important cereal crops,posing a threat to global food security.At present,there are still some key problems in the infection mechanism of rice blast fungus that have not been resolved.Because traditional biological experiments or calculation methods can only identify relevant markers at a certain level in the process of interaction,it is difficult to show the full picture of fungal-plant interaction and the internal connections between different omics markers,so this article uses multiple omics data Start by combining data from multiple omics levels to explore the mechanism of action of rice blast infecting rice.This article mainly explores the mechanism of RNA silencing and secreted protein in the rice blast fungus infecting rice,revealing the mechanism of rice blast fungus infecting rice,and discovering key factors.The omics data used in this article are from NCBI database,HPIDB database,Uniport database and other public databases,mainly including sRNA data before and after rice blast infection,rice blast fungus mRNA data,rice blast fungus protein data,and rice blast fungus Rice gene expression data before and after infection,rice mRNA data,rice protein data,multiple sets of model host-model fungal protein data.In terms of genomics,this paper analyzes the differentially expressed gene chips before and after the rice blast fungus infects rice,and screens out 1.5-fold differentially expressed rice genes,totaling 1367.In terms of transcriptomics,this paper screened and analyzed the differentially expressed sRNA of the rice blast fungus infecting rice,and found a total of 623 differentially expressed sRNA data,and predicted the target genes of the rice blast fungus and rice respectively.A total of 1857 pairs of rice blast fungus-rice small RNA interaction pairs and 664 pairs of rice blast fungus internal small RNA interaction pairs were obtained.In terms of proteomics,this paper uses Interolog and Domain-Domain methods to predict protein interaction pairs,and screens secreted proteins from Pyricularia oryzae to obtain 7352 pairs of Pyricularia oryzae protein interaction pairs,and uses machine learning methods to construct rice blast.Prediction model of bacteria-rice interaction protein.Next,combine the data of rice genomics,rice blast fungus transcriptomics,and rice blast fungus-rice proteomics to analyze the PPI interaction network and GO function enrichment modules of Pyricularia oryzae and rice,and modularize them.Segmentation,mining the key factors of multiple omics joint regulation and the biological processes that they participate in.The results showed that 22 sRNA data of Magnaporthe grisea and 77 secreted proteins of Magnaporthe grisea were used as effect factors to participate in the infection process of Magnaporthe grisea.A number of significantly enriched GO modules were discovered,which are related to gene expression,protein synthesis and molecular transport.And metabolism related.This study explored the multi-omics interaction mechanism of Magnaporthe grisea infecting rice from the perspective of biological calculation,and established a prediction model of Magnaporthe grisea-rice interaction protein through machine learning methods,and established the Magnaporthe grisea-rice multi-group interaction mechanism.Through multi-omics joint analysis,the key effect factors of the rice blast fungus infection process were discovered,and the main interaction mechanism of the rice blast fungus infection process was revealed in order to further reveal the interaction between fungi and plants.The operating mechanism provides new ideas and methods. |
