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Title: Differential sugar beet gene expression during the defense response to challenge by Cercospora beticola

item McClintock, Mary
item Hill, Amy
item Fenwick, Ann
item Reeves, Patrick
item Webb, Kimberly
item Panella, Leonard

Submitted to: Meeting Abstract
Publication Type: Abstract Only
Publication Acceptance Date: 2/25/2009
Publication Date: 2/25/2009
Citation: Larson, R.L., Mcclintock, M.E., Cramer, R.A., Hill, A.L., Fenwick, A.L., Reeves, P.A., Webb, K.M., Panella, L.W. 2009. Differential sugar beet gene expression during the defense response to challenge by Cercospora beticola. Meeting Abstract.

Interpretive Summary:

Technical Abstract: Cercospora leaf spot (CLS), caused by the fungus Cercospora beticola Sacc., is a widespread foliar disease of sugar beet that causes reduced sugar and root yield. It can become a problem in many production areas in the U.S. and world-wide. The study of host resistance is important for the understanding of host-pathogen interaction, the development of more effective disease control strategies, and ultimately marker assisted selection utilizing implicated defense response genes. In the current study, a modified suppressive subtractive hybridization (SSH) was utilized to identify host plant genes involved in the defense response of sugar beet resistant to CLS. A CLS-resistant sugar beet germplasm, (FC504CMS X FC502/2)] X SP6322-0 (LSR), was inoculated with C. beticola or mock inoculated, RNA extracted and a subtracted library created for the identification of highly expressed and low abundance defense related genes. Semi-quantitative reverse transcriptase polymerase chain reaction (RT-PCR) was then used to quantify and verify expression level over time, after challenge by C. beticola, of a few potential defense related genes identified from the subtractive library. RNA was extracted from mock inoculated and C. beticola inoculated susceptible (FC403) and resistant (LSR) sugar beet plants at 0 h, 48 h, 72 h, and 5 day. Expression of CP5, GST, SOD, P450, PR-10, and UVB were quantified over the time course. ANOVA analysis shows significant expression differences between resistant and susceptible cultivars for some of the selected genes.