MGOS Information
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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:
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Cari Soderlund, PI
| University of Arizona
| Computer Scientist
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Mark Orbach, co-PI
| University of Arizona
| Plant Pathologist
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Barbara Valent, co-PI
| Kansas State University
| Plant Pathologist
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Kevin Greer
| University of Arizona
| Computer Scientist
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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:
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Ralph Dean
| North Carolina State University
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Dan Ebbole
| Texas A&M University
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Mark Farman
| University of Kentucky
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Marc Orbach
| University of Arizona
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Carol Soderlund
| University of Arizona
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Guo-liang Wang |
Ohio State University
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Rod Wing
| University of Arizona
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Jin-Rong Xu
| Purdue University
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The data in MGOS generated by this grant is:
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| 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)
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| 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).
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| Microarray
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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.
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| Mutants
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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).
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| Secreted proteins
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Secreted proteins were identified from the M. grisea
genomic sequence, as these proteins are often active during
host-pathogen interaction.
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Additional data in MGOS:
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| 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).
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| M. grisea sequenced genome
| The M. grisea genome sequence from
Broad (Dean et al. 2005).
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| Rice sequenced genome
| The rice genome sequence from TIGR that
was sequenced by the IRGSP.
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Publications from, or in collaboration with, the original grant (#0115642):
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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.
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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
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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.
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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
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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
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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
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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
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