![]() | ![]() |
Formats:
|
||||
Copyright © 2005, American Society of Plant Biologists Large-Scale Identification of Expressed Sequence Tags Involved in Rice and Rice Blast Fungus Interaction1 Department of Plant Pathology (C.J., M.G., G.L., B.Z., H.L., G.-L.W.) and Ohio Supercomputer Center (E.S.), The Ohio State University, Columbus, Ohio 43210; Arizona Genomics Computational Laboratory, BIO5 Institute (K.H., J.H., C.S.) and Arizona Genomics Institute, Department of Plant Sciences (H.K., Y.Y., R.A.W.), University of Arizona, Tucson, Arizona 85721; and Fungal Genomics Laboratory, Department of Plant Pathology, North Carolina State University, Raleigh, North Carolina 27695 (R.A.D.) *Corresponding author; e-mail wang.620/at/osu.edu; fax 614–292–4455. Received October 25, 2004; Revised January 25, 2005; Accepted January 28, 2005. This article has been cited by other articles in PMC.Abstract To better understand the molecular basis of the defense response against the rice blast fungus (Magnaporthe grisea), a large-scale expressed sequence tag (EST) sequencing approach was used to identify genes involved in the early infection stages in rice (Oryza sativa). Six cDNA libraries were constructed using infected leaf tissues harvested from 6 conditions: resistant, partially resistant, and susceptible reactions at both 6 and 24 h after inoculation. Two additional libraries were constructed using uninoculated leaves and leaves from the lesion mimic mutant spl11. A total of 68,920 ESTs were generated from 8 libraries. Clustering and assembly analyses resulted in 13,570 unique sequences from 10,934 contigs and 2,636 singletons. Gene function classification showed that 42% of the ESTs were predicted to have putative gene function. Comparison of the pathogen-challenged libraries with the uninoculated control library revealed an increase in the percentage of genes in the functional categories of defense and signal transduction mechanisms and cell cycle control, cell division, and chromosome partitioning. In addition, hierarchical clustering analysis grouped the eight libraries based on their disease reactions. A total of 7,748 new and unique ESTs were identified from our collection compared with the KOME full-length cDNA collection. Interestingly, we found that rice ESTs are more closely related to sorghum (Sorghum bicolor) ESTs than to barley (Hordeum vulgare), wheat (Triticum aestivum), and maize (Zea mays) ESTs. The large cataloged collection of rice ESTs in this study provides a solid foundation for further characterization of the rice defense response and is a useful public genomic resource for rice functional genomics studies. |
PubMed related articles
Your browsing activity is empty. Activity recording is turned off. |
|||