Skip to main content
ARS Home » Pacific West Area » Parlier, California » San Joaquin Valley Agricultural Sciences Center » Crop Diseases, Pests and Genetics Research » Research » Publications at this Location » Publication #147450
Title: DEVELOPING GENE EXPRESSION PROFILES FOR RESEARCH ON GRAPE RESPONSES TO XYLELLA FASTIDIOSA

Author
item Lin, Hong
item WALKER, ANDREW - UNIV. OF CA., DAVIS

Submitted to: American Society of Enology and Viticulture Annual Meeting Abstracts
Publication Type: Abstract Only
Publication Acceptance Date: 3/13/2003
Publication Date: 6/8/2003
Citation: Lin, H., Walker, A. 2003. Developing gene expression profiles for research on grape responses to Xylella fastidiosa [Abstract]. American Society of Enology and Viticulture. p. 51.

Interpretive Summary:

Technical Abstract: Pierce's disease (PD), caused by the bacterium Xylella fastidiosa (Xf), is one of the most devastating grape diseases. However, information regarding the molecular basis of the host plant response to Xf infection is very limited. In order to characterize the molecular events in the grape Xf interaction, we are developing a genomic approach to identify transcriptional pathways correlated with susceptibility and resistance. Highly resistant and susceptible genotypes were selected from a Vitis rupestris x Muscadinia rotundifolia population created by H.P. Olmo. RNA samples will be collected over time intervals from each genotype and infected and control plants will be used to construct subtractive cDNA libraries that will represent a complete expression profile of each genotype in response to Xf. We chose to use a subtractive technique for cDNA library construction because this approach will help remove the most common housekeeping genes and maximize identification of genes that specifically respond to Xf. About 6,000 - 8,000 clones will be sequenced from each library. These sequences will be put into a PD expression profile database and homology-based comparisons will be made among published grape, Arabidopsis and other public plant databases. A subset of candidate genes will be selected for differential expression analysis using microarrays. The results derived from this study will help reveal the molecular mechanism(s) of grape resistance and susceptibility Xf.