Scientia Agricultura Sinica ›› 2013, Vol. 46 ›› Issue (24): 5123-5131.doi: 10.3864/j.issn.0578-1752.2013.24.006

• PLANT PROTECTION • Previous Articles     Next Articles

Comparative Analysis of Gene Expression Profiles of Rice Responding to Different Races of Magnaporthe grisea

 JIANG  Zhao-Yuan-1, 2 , 3 , REN  Jin-Ping-1, 2 , 3 , LIU  Xiao-Mei-1, 2 , 3 , ZOU  Xiao-Wei-1, 2 , 3 , GUO  Xiao-Li-1, 2 , 3 , WANG  Ji-Chun-1, 2 , 3 , WEN  Jia-Wei-2, LIU  Wen-Ping-2, XIA  Hai-Feng-4, HONG  De-Zhi-5   

  1. 1.Northeast Agricultural Research Center of China, Jilin Academy of Agricultural Sciences, Changchun 130033;
    2.Institute of Plant Protection, Jilin Academy of Agricultural Sciences, Gongzhuling 136100, Jilin;
    3.Key Laboratory of Integrated Pest Management on Crops in Northeast, Ministry of Agriculture, Gongzhuling136100, Jilin;
    4.Tonghua Academy of Agricultural Sciences, Tonghua 135007, Jilin; 5Agricultural Technology and Extension Center of Jilin Province, Changchun 130021
  • Received:2013-06-05 Online:2013-12-16 Published:2013-09-16

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Abstract: 【Objective】The objective of this study is to investigate the gene expression profiles of rice at 48 h after compatible and incompatible Magnaporthe grisea inoculation, and to explore the molecular mechanism of rice resistance to different M. griseas races.【Method】mRNA expression in compatible and incompatible rice was profiled using the Affymetrix microarray assay. GO (gene ontology) analyses were conducted on differentially expressed genes using a free web-based Molecular Annotation System 3.0 (MAS 3.0). Finally, the quantitative real-time PCR was used to verify the expression patterns of genes selected from microarray in rice. 【Result】Among the 49 824 transcripts on the array, about 24 000 transcripts were detected in rice. And 1 028 genes showed a fold change (FC) of more than 2.5. There were 460 genes were up-regulated and 568 genes were down-regulated in incompatible rice. Subsequently, real-time PCR was performed to validate four genes screened out by the microarray approach and sufficient consistency was observed between the two methods. The differentially expressed genes were functionally categorized by GO term analysis, which demonstrated that the gene set encoded proteins that function in signal transduction, enzyme regulation, transcription, molecule transport, and so on. 【Conclusion】 The result of gene expression profiles show that there were significant differences inthe compatible and incompatible rice. The genes differentially expressed in rice identified by microarray and functionally categorized by GO term analysis will help further understanding of plant disease resistance mechanisms in plant-pathogen interaction and may be beneficial to provide a new method for control of rice blast.

Key words: rice blast , gene expression profile , genechip

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