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MGOS: A Resource for Studying Magnaporthe grisea and Oryza sativa Interactions

October 2006 , Volume 19 , Number  10
Pages  1,055 - 1,061

Carol Soderlund , 1 Karl Haller , 1 Vishal Pampanwar , 1 Daniel Ebbole , 2 Mark Farman , 3 Marc J. Orbach , 4 Guo-liang Wang , 5 Rod Wing , 6 Jin-Rong Xu , 7 Doug Brown , 8 Thomas Mitchell , 8 and Ralph Dean 8

1Arizona Genomics Computational Laboratory, Bio5 Institute, University of Arizona, Tucson 85721, U.S.A.; 2Department of Plant Pathology, Texas A&M University, College Station 77843, U.S.A.; 3Department of Plant Pathology, University of Kentucky, Lexington 40506, U.S.A.; 4Division of Plant Pathology and Microbiology, University of Arizona, Tucson, 85721, U.S.A.; 5Department of Plant Pathology, Ohio State University, Columbus 43210, U.S.A.; 6Arizona Genomics Institute, Plant Sciences, University of Arizona, Tucson 85721, U.S.A.; 7Department of Plant Pathology, Purdue University, West Lafayette, IN 47907, U.S.A.; 8Fungal Genomics Laboratory, Department of Plant Pathology, North Carolina State University, Raleigh 27695, U.S.A.


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Accepted 19 May 2006.

The MGOS (Magnaporthe grisea Oryza sativa) web-based database contains data from Oryza sativa and Magnaporthe grisea interaction experiments in which M. grisea is the fungal pathogen that causes the rice blast disease. In order to study the interactions, a consortium of fungal and rice geneticists was formed to construct a comprehensive set of experiments that would elucidate information about the gene expression of both rice and M. grisea during the infection cycle. These experiments included constructing and sequencing cDNA and robust long-serial analysis gene expression libraries from both host and pathogen during different stages of infection in both resistant and susceptible interactions, generating >50,000 M. grisea mutants and applying them to susceptible rice strains to test for pathogenicity, and constructing a dual O. sativa-M. grisea microarray. MGOS was developed as a central web-based repository for all the experimental data along with the rice and M. grisea genomic sequence. Community-based annotation is available for the M. grisea genes to aid in the study of the interactions.


Additional keywords: host-pathogen .

© 2006 The American Phytopathological Society