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Title:   Author  item
                                            Wise, Rogeritem
                                            Lauter, Nicholasitem
                                            Szabo, Lesitem
                                            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.


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