MGOS Information Sitemap

 
MGOS Information

This material is based upon work supported by the National Science Foundation under Grant No. 0627159. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

Rice blast disease, caused by the fungus Magnaporthe grisea, is a leading constraint to rice production and is a serious threat to food security worldwide. In order to advance research of this pathogen and its interactions with rice, the MGOS database has been funded by NSF-MGS #0627159 titled Community Annotation Database for Magnaporthe grisea. This award will support community annotation, microarray submission, add new data when possible, and enhance queries.

The participants on this grant are:

Cari Soderlund, PI University of Arizona Computer Scientist
Marc Orbach, co-PI University of Arizona Plant Pathologist
Barbara Valent, co-PI Kansas State University Plant Pathologist
Kevin Greer University of Arizona Computer Scientist
Anupreet Kour University of Arizona Postdoc, Annotation
This site is hosted by AGCOL.

The M. oryza genome and gene models are provided by Bruce Birren, Chinnappa D. Kodira, et al from Broad.

A grant was funded NSF-PGRP #0115642 titled Whole genome analysis of pathogen-host recognition and subsequent response in the rice blast patho-system to elucidate the basis of plant resistance through a comprehensive analysis of the molecular events that occur during pathogen-host recognition and the subsequent defense responses. The MGOS database was created as a web-based repository for the data generated by this grant (Soderlund et al. 2006).

The PIs for the original grant are:

Ralph Dean North Carolina State University
Dan Ebbole Texas A&M University
Mark Farman University of Kentucky
Marc Orbach University of Arizona
Carol Soderlund University of Arizona
Guo-liang Wang Ohio State University
Rod Wing University of Arizona
Jin-Rong Xu Purdue University

The data in MGOS generated by this grant is:
EST Eight rice cDNA libraries were constructed and end-sequenced from different varieties (differing in susceptibility to the disease) and different stages of infection (Jantasuriyarat et al. 2005)
RL-Sage Five robust long–serial analysis gene expression (RL-SAGE)(Gowda et al. 2004) libraries were host-pathogen. constructed and sequenced, four from different stages of rice infection and one from M. grisea (Gowda et al. 2006, 2007).
Microarray A dual O. sativa-M. grisea microarray was constructed that contains all predicted M. grisea genes and a subset of rice genes that are thought to be involved in resistance. This microarray is available for purchase by the community from Agilent Technologies (Palo Alto, CA, U.S.A.), and all relevant information about the probes is in the MGOS database.
Mutants A high-throughput approach to creating M. grisea mutants was developed, resulting in over 50,000 lines that have been screened for phenotypes and for changes in pathogenicity when applied to susceptible rice varieties (Donofrio et al. 2005).
Secreted proteins Secreted proteins were identified from the M. grisea genomic sequence, as these proteins are often active during host-pathogen interaction.

Additional data in MGOS:
EST Nine M. grisea cDNA libraries constructed and end-sequenced from different stages of infection, tissue type, and cultured on different medium (Ebbole et al. 2005).
M. grisea sequenced genome The M. grisea genome sequence from Broad (Dean et al. 2005).

Publications from, or in collaboration with, the original grant (#0115642):
M. Gowda, R-C. Venu, H. Li , C. Jantasuriyarat, S. Chen, M. Bellizzi, V. Pampanwar, H. Kim, R. A. Dean, E. Stahlberg, R. Wing, C. Soderlund, and G. Wang (2007). Magnaporthe grisea Infection Triggers RNA Variation and Antisense Transcript Expression in Rice. Plant Physiology, in press.
Soderlund, C., K. Haller, V. Pampanwar, D. Ebbole, M. Farman, M. Orbach, G. Wang, R. Wing, J. Xu, D. Brown, T. Mitchell, R. Dean (2006) MGOS: a resource for studying Magnaporthe grisea and Oryza Sativa interactions. Mol Plant Microbe Interact 19: 1055-1061. PDF
Gowda M., V. Reddyvarichannarayappa, Y. Jia, E. Stahlberg, V. Pampanwar, C. Soderlund, G. Wang (2006). Use of RL-SAGE Analysis to Identify Novel Fungal and Plant Genes Involved in Host-Pathogen Interactions. In: Ronald PC (ed) "Methods in Molecular Biology:Plant-Pathogen Interactions". Humana Press Inc., Totowa, NJ Vol. 354 pp. 131-144.
N. Donofrio, R. Rajagopalon, D. Brown, S. Diener, D. Windham, S. Nolin, A. Floyd, T. Mitchell, N. Galadima, S. Tucker, M. Orbach, G. Patel, M. Farman, V. Pampanwar, C. Soderlund, Y. Lee, R. Dean (2005). PACLIMS: A component LIM system for high-throughput functional genomic analysis. BMC Bioinformatics 6:94. PDF
Jantasuriyarat, C., M. Gowda, K. Haller, J. Hatfield, G. Lu, E. Stahlberg, B. Zhou, H. Li, H. Kim, Y. Yu, R. Dean, R. Wing, C. Soderlund, and G. Wang (2005). Large-Scale Identification of Expressed Sequence Tags Involved in Rice and Rice Blast Fungus Interaction. Plant Physiol. 138: 105-115. PDF
Dean, R, N. Talbot, D. Ebbole, M. Farman, T. Mitchell, M. Orbach, M. Thon, R. Kulkarni, J. Xu, H. Pan, N. Read, Y. Lee, I. Carbone, S. Brown, D. Soanes, S. Djonovic, E. Kolomiets, C. Rehmeyer, W. Li, M. Harding, S. Kim, M. Lebrun, H. Bohnert, J. Butler, S. Calvo, L. Ma, R. Nicol, S. Purcell, C. Nusbaum, J. Galagan, and B. Birren. (2005) The genome sequence of the rice blast fungus Magnaporthe grisea. Nature, 434:980-986. PDF
M. Gowda, C. Jantasuriyarat, R. Dean, and G. Wang (2004). Robust-LongSAGE (RL-SAGE): A Substantially Improved LongSAGE Method for Gene Discovery and Transcriptome Analysis. Plant Physiology 134: 890-897. PDF