Poster: Plant-pathogen interactions
Abs #
550: Comparative analysis of disease resistance related genes in rice
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Presenter: |
Zeng, Nai Yan , s003216@mailserv.cuhk.edu.hk | Authors | Zeng, Nai Yan (A) Wong, Kwong Kwok (B) Cheung, Ming Yan (A) Zhao, Kai Jun (C) Lei, Cai Lin (C) Lau, Tung (A) Chow, Shuk Man (A) Zhang, Qi (C) Ling, Zhong Zhuan (C) Sun, Sai Ming Samuel (A) Lam, Hon Ming (A) | | Affiliations: |
(A): Department of Biology, The Chinese University of Hong Kong (Hong Kong)
(B): Texas Children Cancer Center (TX, USA)
(C): Institute of Crop Breeding & Cultivation, The Chinese Academy of Agricultural Sciences (Beijing, PRC)
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Rice bacterial blight (BB), caused by Xanthomonas oryzae pv. oryzae (Xoo) and blast, caused by Magnaporthe grisea have been two of the most severe rice diseases worldwide. To obtain a better understanding on gene expression profiles related to disease resistance pathways in rice, comparative analysis of the two diseases was performed using cDNA microarray technology. A series of near isogenic lines (NILs) that exhibit narrow, intermediate and broad resistant spectra toward Xoo (Xa lines) or blast fungus (Pi lines) were employed to provide a homogenous genetic background. Two sets of cDNA chips were constructed, one containing 10,368 clones from a cDNA library of incompatible pathogen inoculated Pi line, the other containing 9,216 cDNA clones from fourteen subtractive libraries of incompatible pathogen inoculated Xa lines. Same RNA samples were used in comparative analysis of the two cDNA chips. After statistical analysis of microarray data, we found some genes correlated to all resistant lines as well as some genes specifically to blast or BB resistant lines. Clustering study with these differential genes showed a relationship between the gene expression profiles and the resistant spectra of the rice lines. RT-PCR was performed to validate the microarray data and do time-course study of some differential genes. Results confirmed the microarray data and suggested the timing and dosage of resistance related gene expression may contribute to the resistant spectrum. [This research is supported by the RGC Earmarked grant CUHK4273/02M to H.M.L., K.J.Z, Q.Z, and Z.Z.L. and funding from H.K. UGC-AoE Plant & Fungal Biotechnology Center and SHARF grant to S.M.S and H.M.L.]
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