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United States Department of Agriculture

Agricultural Research Service

Title: EST ANALYSIS FOR DISCOVERY OF MICROBE-INDUCED GENES IN ROOTS OF MEDICAGO TRUNCATULA)

Author
item Town, Chris
item Endre, Gabriella
item Cho, Jennifer
item White, Joe
item Fedorova, Maria
item Gantt, Steve
item Hahn, Michael
item Harrison, Maria
item Samac, Deborah - Debby
item Vance, Carroll

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

Interpretive Summary:

Technical Abstract: Our aim is to characterize legume genes involved in responses to microbes. We have developed a resource of expressed sequence tags (ESTs) from Medicago truncatula and implemented DNA microanalysis on a pilot scale (see Endre et al). As of April 2001, > 50,000 5' sequences have been obtained from cDNA libraries spanning various stages of vegetative development. To identify genes induced in roots, ESTs were obtained from libraries generated after inoculation with the nitrogen-fixing bacterium Sinorhizobium, the mycorrhizal fungus Glomus, or the root rot-inducing oomycete Phytophthora or its glucan elicitor. All ESTs have been deposited in GenBank and used (with other public data) to construct a gene index that represents a minimally redundant set of sequences. The gene index (MtGI) groups M. truncatula ESTs into tentative consensus sequences (TCs) according to sequence overlap (http://www.tigr.org//tdb/mtgi). The second release of MtGI (12/00) predicted ~10,000 TCs and ~20,000 singletons, totaling ~30,000 unique sequences. MtGI assigns probable function to expressed genes based on BLAST results, and indicates expression patterns of highly expressed genes based on tissue of origin of the ESTs. Analysis reveals many examples of tissue-specific patterns of expression. An overview of library compositions will be presented and genes predicted to be induced by microbes in roots will be highlighted. We gratefully acknowledge NSF Plant Genome Project, award # 9872664.

Last Modified: 8/24/2016
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