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ARS Home » Northeast Area » Frederick, Maryland » Foreign Disease-Weed Science Research » Research » Publications at this Location » Publication #193981


item Schneider, Katherine
item Choi, Jane
item Alkharouf, Nadim
item Lum, Nicole
item Munroe, David
item Matthews, Benjamin - Ben
item Frederick, Reid

Submitted to: American Phytopathological Society
Publication Type: Abstract Only
Publication Acceptance Date: 3/28/2006
Publication Date: 7/28/2006
Citation: Schneider, K., Choi, J.J., Alkharouf, N.W., Lum, N.L., Munroe, D.J., Matthews, B.F., Frederick, R.D. 2006. Microarray analysis of genes expressed in rppl-mediated resistance to asian soybean rust. American Phytopathological Society 96:S104

Interpretive Summary:

Technical Abstract: Asian soybean rust caused by Phakopsora pachyrhizi has spread from southern Asia and Australia to southern Africa and South America within the past decade. More recently, soybean rust was identified for the first time in the continental U.S. in November 2004. While no known rust resistance exists in commercially available U.S. soybean cultivars, four independent resistance genes (Rpp1-Rpp4) have been described that recognize specific rust isolates. A soybean-rust cDNA library enriched for resistance-related transcripts was constructed using suppressive subtractive hybridization (SSH) to identify soybean genes that are expressed in the Rpp1 resistant reaction. Results showed an enrichment of soybean cDNA clones that were placed into functional categories of cell rescue/defense/stress (6%), cellular transport (11%), protein fate (7%), and others. Gene expression was compared between Rpp1 resistant and susceptible rust interactions using a 7883 soybean cDNA clone microarray and the Affymetrix Soybean Genome Chip. Unregulated clones with similarity to peroxidases and lipoxygenases were prevalent, as were putative Bax inhibitors. Down-regulated cDNA clones included those with similarity to cell wall-associated proteins such as extensins, proline-rich proteins and xyloglucan endotransglycosylases. A comparison of the results from both microarrays will be presented.