Submitted to: International Conference on Legume Genomics and Genetics
Publication Type: Abstract Only
Publication Acceptance Date: 5/6/2004
Publication Date: 6/7/2004
Citation: Zou, J., Rodriguez-Zas, S., Gonzales, D.O., Vodkin, L.O., Clough, S.J. 2004. Gene expression profiling of soybean response during compatible and incompatible interactions with the bacterial pathogen pseudomonas syringae [abstract]. International Conference on Legume Genomics and Genetics. p. 245.
Technical Abstract: The interaction between a foliar bacterial pathogen and a plant host is often classified as being either compatible or incompatible. Under compatible interactions disease develops, whereas in incompatible interactions, host resistance is quickly established, which is often accompanied by rapid cell death (the hypersensitive response). Defeating the pathogen or succumbing to its assault depends on the ability of the host to respond rapidly and aggressively to the pathogen through the proper activation and repression of numerous genes. To detail the genetic responses that occur under both interactions, we performed large-scale mRNA expression profiling using cDNA microarrays representing over 27,000 soybean expression sequence tags. Soybean leaves (Williams 82) were infiltrated with Pseudomonas syringae pv. glycinea with or without avrB, or 10 mM MgC12 (as control). RNAs were sampled at 0, 2, 8, and 24 hour post inoculation (hpi). By replicating our experiments with a loop design and using a statistical analysis (ANOVA), significant changes in transcription level were revealed. For example, during the incompatible reaction, over 14 per cent of the 27,000 genes monitored showed significant expression level changes in at least one of the time points. In addition, many genes showed statistically significant difference between compatible and incompatible interactions at both the 8 and 24 hpi time points, even though the trend of the expression of most genes were the same. We further classified significant genes into one of 18 functional categories allowing for the observation of regulations patterns. In addition, quantitative real-time PCR was performed on a handful of genes to verify microarray results and to extend analysis of specific genes over additional conditions. These global gene expression results reveal a rapid genetic response to the avirulent pathogen and subsequent oxidative stresses within 8 hpi.