Objective
Human nutrition is based on cereals, where Rice is the model because of its small genome, detailed molecular maps and ease of transformation. We aim to use functional genomics and proteomics in rice for which a rough draft of the genome sequence is available. The integrated strategy proposed here will provide a phenotypic function to the rice gene sequence information in the databases and address traits of interest for cereal crops. We will use a Rice Mutation Machine to uncover gene-phenotype relationships using knockout or gene detection transposon inserts and Proteomics methods to discover novel transcription factor networks determining key cereal traits. Cereal crop validation will be done using gene over expression and map correlations to known traits. The gene-trait discoveries will provide applications and intellectual property using GMO as well as non-GMO strategies for cereal crops in the EU.
Fields of science
- natural sciencesbiological sciencesbiochemistrybiomoleculesproteinsproteomics
- natural sciencescomputer and information sciencesdatabases
- natural sciencesbiological sciencesgeneticsmutation
- natural sciencesbiological sciencesgeneticsgenomes
- agricultural sciencesagriculture, forestry, and fisheriesagriculturegrains and oilseedscereals
Call for proposal
Data not availableFunding Scheme
CSC - Cost-sharing contractsCoordinator
WAGENINGEN
Netherlands