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Title: FUNCTIONAL GENOMIC ANALYSIS OF SYMBIOTIC AND PATHOGENIC INTERACTIONS OF MEDICAGO TRUNCATULA

Author
item ENDRE, GABRIELLA - UNIVERSITY OF MINNESOTA
item PENUELA, SILVIA - UNIVERSITY OF MINNESOTA
item KRISHNAMURTHY, NANDINI - TEXAS A&M UNIVERSITY
item Samac, Deborah - Debby
item VANDENBOSCH, KATHRYN - UNIVERSITY OF MINNESOTA

Submitted to: International Congress on Molecular Plant-Microbe Interactions
Publication Type: Abstract Only
Publication Acceptance Date: 7/11/2001
Publication Date: N/A
Citation: N/A

Interpretive Summary:

Technical Abstract: Medicago truncatula has become a useful model plant for molecular studies of nitrogen-fixing symbiotic interactions. This species is also very suitable as a model to investigate plant responses to foliar and root pathogens. As a basis for functional genomic analysis, 16 cDNA libraries have been constructed from different developmental states. Partial sequencing of clones from these libraries has contributed to the > 120,000 ESTs from M. truncatula that have been deposited in GenBank by April 2001. Our long-term aims are to establish a unigene set of cDNA clones and to investigate thoroughly the genome-wide patterns of gene expression using hybridization of probes to DNA microarrays. As a first step, we have assembled a small scale array of ~1,000 cDNA clones ('kiloclone set') that contains positive and negative controls and clones of known tissue-specific patterns. The kiloclone set is also rich in clones encoding proteins with putative functions in signal transduction, transcriptional regulation, control of cell division and cell death, pathogen response, secondary metabolism, and a number of genes of unknown function. Hybridization experiments to date have assessed differences in gene expression during the early steps of the symbiotic process or during pathogenic interactions, compared to uninoculated plants. Information on optimization of microarray production and hybridization and the latest results of this work, identifying differentially expressed clones, will be presented. We gratefully acknowledge support from the NSF Plant Genome Project, award number 9872664.