|CUPERLOVIC-CULF, MIROSLAVA - National Research Council - Canada|
|SURENDRA, ANU - National Research Council - Canada|
|RICHARD, RENE - National Research Council - Canada|
Submitted to: Meeting Abstract
Publication Type: Abstract Only
Publication Acceptance Date: 3/30/2017
Publication Date: N/A
Technical Abstract: Fusarium head blight (FHB), primarily induced by the filamentous ascomycete Fusarium graminearum (Fg), is one of the most damaging diseases in wheat and other small grain cereals worldwide. Current methods for disease control include utilization of less susceptible cultivars and treatment with fungicides. However, FHB remains a major problem due to lack of fully resistant wheat varieties and development of fungal resistance to existing fungicides. This lack of effective sources of resistance or optimal treatments is further compounded by climate change and certain agricultural practices that are increasing the threat of disease. Climate change is expected to intensify FHB contamination of wheat and increase the associated risk of mycotoxin contamination in food and feed. Rising CO2 levels are part of the climate change with still unknown effect on natural wheat resistance mechanisms against Fg. In this study the defense response of wheat plants grown at ambient (400 ppm) CO2 and elevated (800 ppm) CO2 was evaluated and compared. Plant and fungal metabolites play a major role in defense and virulence with significant differences in metabolic response in resistant and susceptible plants. 1D and 2D 1H NMR spectroscopy performed in this work have provided information for detailed metabolite assignment and quantification leading to possible metabolic markers discriminating metabolic changes in wheat subtypes with different resistance and at changing CO2 levels. A new method for metabolite quantification from NMR data that automatically aligns spectra of standards and samples prior to quantification utilizing multivariate linear regression optimization of spectra of assigned metabolites to samples’ 1D spectra is described and used. Fg infection-induced metabolic changes in different conditions will be discussed in the context of metabolic network and resistance. Resistance related metabolites determined in this as well as previous, published work have been systematized for further functional analysis in the new Web database called Wheat Fungal Diseases Metabolome – WFDM.