Project Number: 3620-42000-033-00
Start Date: Jan 19, 2006
End Date: Jan 18, 2011
Train neural networks to classify corn kernel disease symptom expression in ‘resistant’ vs. ‘susceptible’ white or yellow maize lines infected with by different species of fungi; identify filters for detecting and rejecting mycotoxin contaminated maize grains in commercially available high speed optical sorters; identify genes that respond to maize or are required for growth on maize via analysis of the F. verticillioides Expressed Sequence Tag (EST) database and F. verticillioides genes that respond to competition via microarray analysis; obtain protein sequence information on promising mycoparasite antifungal protein candidates via MALDI-TOF MS analysis and use this information to identify and clone the corresponding genes; characterize the impact of stress on plant disease resistance gene products (PDRGPs) and F. verticillioides growth in developing maize ears; evaluate PDRGPs and F. verticillioides ear rot reactions in agronomically characterized germplasm for use as markers in ear rot resistance breeding programs; investigate the biocontrol potential of Acremonium zeae in maize cultivation; evaluate maize endophyte metabolites for their antifungal activities against Aspergillus flavus and Fusarium verticillioides as well as other biological effects relevant to agriculture or medicine. BSL-1 and risk group RG1 recertified September 3, 2009.