Deep and Comparative Transcriptome Analysis of Rice Plants Infested by the Beet Armyworm (Spodoptera exigua) and Water Weevil (Lissorhoptrus oryzophilus)

Authors

R. C. Venu, Ohio State University
M. Sheshu Madhav, Ohio State University
M. V. Sreerekha, Ohio State University
Kan Nobuta, Illumina
Yuan Zhang, Ohio State University
Peter Carswell, Ohio State UniversityFollow
Michael J. Boehm, University of Nebraska-LincolnFollow
B. C. Meyers, University of DelawareFollow
Kenneth L. Korth, University of ArkansasFollow
Guo-Liang Wang, Ohio State UniversityFollow

Document Type

Article

Date of this Version

2010

Citation

Rice (2010) 3:22–35 DOI 10.1007/s12284-010-9037-8

Comments

Copyright 2019 Springer Science+Business Media, LLC. Open Access licensed.

Abstract

The beet armyworm (Spodoptera exigua) and the rice water weevil (Lissorhoptrus oryzophilus) are two important insect pests in rice production. To identify insect-responsive genes in rice, we performed a deep transcriptome analysis of Nipponbare rice leaves infested with both beet armyworm and water weevil using massively parallel signature sequencing (MPSS). Many antisense, alternative, and novel transcripts were commonly and specifically induced and suppressed in the infested tissue. Key genes involved in the defense metabolic pathways such as salicylic acid and jasmonic acid biosynthesis pathways were up-regulated in the infested leaves. To validate theMPSS results, we analyzed the transcriptome of the rice leaves infested with water weevils using Solexa’s sequencing-bysynthesis (SBS) method. The MPSS and SBS data were highly correlated (Pearson’s correlation coefficient=0.85), and 83% of genes had similar gene expression in both libraries. Our comprehensive and in-depth survey of the insect-infested libraries provides a rich genomic resource for further analyzing the function of key regulatory genes involved in insect resistance in rice.

Supplementary files are attached below.