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ARS Home » Midwest Area » Peoria, Illinois » National Center for Agricultural Utilization Research » Mycotoxin Prevention and Applied Microbiology Research » Research » Publications at this Location » Publication #334163

Research Project: Novel Methods for Controlling Trichothecene Contamination of Grain and Improving the Climate Resilience of Food Safety and Security Programs

Location: Mycotoxin Prevention and Applied Microbiology Research

Title: Metabolomics analysis of the effect of elevated co2 on wheat resistance to Fusarium head blight

item CUPERLOVIC-CULF, MIROSLAVA - National Research Council - Canada
item Vaughan, Martha
item Vermillion, Karl
item SURENDRA, ANU - National Research Council - Canada
item RICHARD, RENE - National Research Council - Canada
item Teresi, Jennifer
item McCormick, Susan

Submitted to: Meeting Abstract
Publication Type: Abstract Only
Publication Acceptance Date: 11/25/2016
Publication Date: N/A
Citation: N/A

Interpretive Summary:

Technical Abstract: Climate change is expected to intensify Fusarium head blight (FHB) contamination of wheat and increase the associated risk of mycotoxin contamination in food and feed. Rising CO2 levels are part of climate change with still unknown effects on natural wheat resistance mechanisms against Fusarium graminearum, the primary etiological agent of FHB. In this study the defense response of wheat plants grown at ambient (400 ppm) CO2 and elevated (800 ppm) CO2 was evaluated and compared. Both Type I, resistance to initial infection, and Type II, resistance to Fusarium, spread throughout the wheat head, were compromised at elevated (800 ppm) CO2 with increased pathogen biomass and trichothecene contamination. Plant and fungal metabolites play a major role in defense and virulence, and there are significant differences in the metabolic responses of resistant and susceptible plants. 1D and 2D 1H nuclear magnetic resonance (NMR) spectroscopy were performed for the metabolite assignment and quantification of metabolites in wheat grown at different CO2 levels. These data provide putative markers which can discriminate metabolic changes that are consistent with difference in wheat susceptibility to FHB. 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. Fusarium infection-induced metabolic changes in wheat grown under 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.