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ARS Home » Midwest Area » Ames, Iowa » Corn Insects and Crop Genetics Research » Research » Publications at this Location » Publication #152245
Title: COMPREHENSIVE TRANSCRIPTIONAL PROFILING OF BARLEY-POWDERY MILDEW INTERACTIONS USING AFFYMETRIX GENECHIPS

Author
item CALDO, RICO - IOWA STATE UNIVERSITY
item NETTLETON, DAN - IOWA STATE UNIVERSITY
item TURNER, STACY - IOWA STATE UNIVERSITY
item ASHLOCK, DANIEL - IOWA STATE UNIVERSITY
item DICKERSON, JULIE - IOWA STATE UNIVERSITY
item Wise, Roger

Submitted to: Keystone Symposia
Publication Type: Proceedings
Publication Acceptance Date: 3/10/2003
Publication Date: 4/10/2003
Citation: CALDO, R., NETTLETON, D., TURNER, S., ASHLOCK, D., DICKERSON, J., WISE, R.P. COMPREHENSIVE TRANSCRIPTIONAL PROFILING OF BARLEY-POWDERY MILDEW INTERACTIONS USING AFFYMETRIX GENECHIPS. AVAILABLE FROM: http://www.keystonesymposia.org/Meetings/ViewMeetings.cfm?MeetingID=658. KEYSTONE SYMPOSIA. 2003.

Interpretive Summary:

Technical Abstract: Host responses to the invading pathogens are controlled by complex regulatory pathways and accompanied by regulated expression of many genes. Advances in the field of transcriptional profiling provide tools for large-scale analysis of gene expression and make possible new ways to understand how genes contribute to complex phenotypes. In this study, oligo-based Affymetrix barley GeneChip arrays representing 22,700 genes are being used to study the molecular mechanisms of disease resistance, susceptibility, and cell death. Time course expression profiling is being performed with plants containing the Mla6 and Mla13 resistance specificities, and programmed-cell-death mutants derived from the parental line containing Mla6, in response to the powdery mildew isolates 5874 (AvrMla6, virMla13) and K1 (AvrMla13, virMla6). Our goal is to identify induced/repressed genes at different time points after pathogen infection to provide a molecular description of the events orchestrating incompatible and compatible barley-powdery mildew interactions. In addition, this project will create an on-line interactive database, BarleyBase, and develop a set of web-accessible tools for the analysis of Affymetrix GeneChip data. BarleyBase will feature "click through" integration of web-base data sets, and it will be interoperable with the Gramene comparative mapping resource for grains (http://www.gramene.org/). The web-based analysis tools will enable database users to perform meta-analysis of gene expression in response to a particular treatment.