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ARS Home » Southeast Area » Stuttgart, Arkansas » Dale Bumpers National Rice Research Center » Research » Publications at this Location » Publication #260835
Title: Expression profiling of common and specific defense responses of rice to Magnaporthe oryzae infection using deep sequencing technologies

Author
item REDDYVARI-CHANNARAYA, V - The Ohio State University
item MADHAV, M. SHESHU - The Ohio State University
item NOBUTA, KAN - University Of Delaware
item SREEREKHA, M - The Ohio State University
item CHEN, SONGBIAO - The Ohio State University
item SONGKUMARN, PATTAVIPHA - The Ohio State University
item Jia, Yulin
item MEYERS, BLAKE - University Of Delaware
item WANG, GUO-LIANG - The Ohio State University

Submitted to: Symposium Proceedings
Publication Type: Abstract Only
Publication Acceptance Date: 8/5/2010
Publication Date: 12/2/2011
Citation: Reddyvari-Channaraya, V., Madhav, M., Nobuta, K., Sreerekha, M.V., Chen, S., Songkumarn, P., Jia, Y., Meyers, B.C., Wang, G. 2011. Expression profiling of common and specific defense responses of rice to Magnaporthe oryzae infection using deep sequencing technologies [abstract]. In: Fifth International Rice Blast Conference, August 12-14, 2010, Little Rock, Arkansas p. 75.

Interpretive Summary:

Technical Abstract: Rice blast caused by Magnaporthe oryzae is a serious disease in rice production. Wild type Nipponbare and transgenic rice plants (carrying the Pi9 blast resistance gene) were challenged with the rice blast strain KJ201 to identify the early, mid and late host responses to M. oryzae infection at the transcriptional level. Deep transcriptome analysis was performed using Illumina’s massively parallel signature sequencing (MPSS) and sequencing-by-synthesis (SBS) technologies. Thirteen MPSS and eight SBS libraries were constructed from compatible and incompatible interactions to identify putative genes involved in host susceptibility and resistance mechanisms. About 1 to 1.5 million and 2 to 12 million signatures were obtained from each library using MPSS and SBS technologies. More than 80% of the signatures matched to the Nipponbare genomic sequence. About 70% of the signatures overlap identified in the MPSS and SBS libraries. About 30% more transcriptome data was generated using SBS compared to MPSS. Functional classification of the genes expressed in these libraries was carried out using KEGG (http://www.genome.jp/kegg/). RT-PCR was performed to validate early, mid and late responsive host putative susceptibility genes. Transcription factors in rice and secreted proteins from M. oryzae expressed in the compatible and incompatible interactions were also analyzed. The comprehensive transcriptome data obtained in this study responsible have built the foundation for the in-depth elucidation of molecular basis of defense responses and the development of durably blast resistant cultivars.