MPMI Vol
نویسندگان
چکیده
Magnaporthe oryzae causes rice blast disease, which is the most serious disease of cultivated rice worldwide. We previously developed the Magnaporthe grisea–Orzya sativa (MGOS) database as a repository for the M. oryzae and rice genome sequences together with a comprehensive set of functional interaction data generated by a major consortium of U.S. researchers. The MGOS database has now undergone a major redesign to include data from the international blast research community, accessible with a new intuitive, easy-to-use interface. Registered database users can manually annotate gene sequences and features as well as add mutant data and literature on individual gene pages. Over 900 genes have been manually curated based on various biological databases and the scientific literature. Gene names and descriptions, gene ontology annotations, published and unpublished information on mutants and their phenotypes, responses in diverse microarray analyses, and related literature have been incorporated. Thus far, 362 M. oryzae genes have associated information on mutants. MGOS is now poised to become a one-stop repository for all structural and functional data available on all genes of this critically important rice pathogen.
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MPMI Vol
Dongping Wang,1 Mingsheng Qi,1 Bernarda Calla,1 Schuyler S. Korban,2 Steven J. Clough,1,3 Peter J. A. Cock,4 George W. Sundin,5 Ian Toth,4 and Youfu Zhao1 Department of Crop Sciences, Department of Natural Resources and Environmental Sciences University of Illinois at Urbana-Champaign, Urbana, IL 61801, U.S.A.; USDA Agricultural Research Service, Urbana, IL 61801, U.S.A.; Cellular and Molecular...
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Department of Energy–Plant Research Laboratory, Michigan State University, E. Lansing, MI, U.S.A.; Department of Chemistry, Carleton University, Ottawa, Canada; Center for Plant Science Innovation, University of Nebraska, Lincoln, NE, U.S.A.; Agriculture and Agri-Food Canada, London, Canada; Department of Life Sciences, Imperial College, London, U.K.; Department of Plant Pathology and Microbiol...
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available on-line contains supplemental material with the sequences of the unigenes predicted from P. infestans and a comparison of the frequencies of Pfam domains in predicted proteins from P. infestans, Neurospora crassa, and Arabidopsis thaliana. e-Xtra*
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