|Khan, Rana - UNIVERSITY OF MARYLAND|
|Alkharouf, Nadim - GEORGE MASON UNIVERSITY|
|Sumner, Lloyd - NOBLE FOUNDATION|
Submitted to: Mid Atlantic Plant Molecular Biology Society Conference
Publication Type: Abstract Only
Publication Acceptance Date: July 22, 2003
Publication Date: July 22, 2003
Citation: Matthews, B.F., Khan, R., Alkharouf, N., Sumner, L.W. 2003. Alterations of gene expression and metabolite levels in soybean roots during invasion by the soybean cyst nematode [abstract]. Mid Atlantic Plant Molecular Biology Society Conference. p.13. Technical Abstract: The soybean cyst nematode (SCN) is the most devastating pest of soybean in the US, causing an estimated one billion dollars in damage each year. The defense response of soybean to SCN is a multigenic trait and varies depending upon the genotypes of soybean and SCN. More than 6,000 cDNA inserts from several soybean cDNA libraries were printed and monitored using microarrays to identify genes involved in the response of soybean to SCN. RNA was harvested from roots of soybean cv. Peking resistant to SCN strain NL1-RHp (reflecting a race 3 phenotype) and susceptible cv. Kent, either not infected or at 0, 6, 12 hr, 1, 2, 4, 6, and 8 days after infection by SCN strain NL1-RHp. Two independent biological samples were used for microarrays and metabolic profiles. The RNA was fluorescently labeled as cDNA for hybridization to the microarrays. A number of defense-related genes were identified statistically as being altered due to SCN invasion, as were genes encoding potential regulatory factors, such as kinases and transcription factors, genes involved in sugar metabolism and cell wall formation, and a number of genes encoding proteins of unknown function. Alterations in metabolic profiles combined with gene expression analysis allowed a better interpretation of the events that occur in the root during nematode attack. These results are being used to identify pathways, genes, and metabolites important to the defense response of soybean against SCN attack. See our web site at http://bldg6.arsusda.gov/benlab/ for further information.