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ARS Home » Midwest Area » Ames, Iowa » Corn Insects and Crop Genetics Research » Research » Publications at this Location » Publication #219652
Title: Genomics of Biotic Interactions in the Triticeae

Author
item Wise, Roger
item Lauter, Nicholas
item Szabo, Les
item SCHWEIZER, PATRICK - LEIBNIZ INST., GERMANY

Submitted to: Book Chapter
Publication Type: Book / Chapter
Publication Acceptance Date: 2/14/2009
Publication Date: 7/20/2009
Citation: Wise, R.P., Lauter, N.C., Szabo, L.J., Schweizer, P. 2009. Genomics of Biotic Interactions in the Triticeae. In: Feuillet, C., Muehlbauer, G., editors. Genetics and Genomics of the Triticeae. New York, NY: Springer. p. 559-589.

Interpretive Summary:

Technical Abstract: Plant diseases pose threats to agriculture in all corners of the world. In highly productive systems, the genetic uniformity required for mechanized production renders crops vulnerable to severe losses. The advent of Triticeae microarrays built upon community-wide sequencing efforts is empowering direct, crop-specific studies. This is especially true for those systems for which robust downstream functional genomics platforms are available that permit rapid reverse genetic analysis of statistically significant genes. Recent genomic analysis in Triticeae grain crops has promoted a better understanding of host-pathogen interactions through examination of resistant and susceptible interactions and comparison of responses mediated by different resistance genes. Gene expression studies involving extensive infection time courses have revealed that successful pathogens are able to suppress the host defense responses that they trigger early in the interaction. In turn, it appears that resistance (R) genes enable plants to override the suppression of basal defenses and stimulate subsequent massive induction of potent, broadly effective defenses. Up until now, parallel expression technology has been mostly applied to experimental systems differing by a particular genotype, time, or pathogen. More recently, new genetical genomics applications will make possible the creation of dense expression polymorphism maps and identification of regulatory regions. These resources will promote the understanding of the complex architecture of plant disease defense, which will have long-term value for improved breeding strategies for Triticeae grain crops.