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Hierarchical plant metabolomics for gene function and mode of action discovery

ReferenceEGA17716
Principal Investigator / Supervisor Dr Ian Scott
Co-Investigators /
Co-Supervisors		 Mr Robert Darby, Professor John Draper, Professor Royston Goodacre, Mr Nigel Hardy, Professor Douglas Kell, Professor Ross King, Mr Jem Rowland
Institution Aberystwyth University
DepartmentInst of Biological, Environ & Rural Sci
Funding typeResearch
Value (£) 462,596
StatusCompleted
TypeResearch Grant
Start date 01/04/2003
End date 30/09/2006
Duration42 months

Abstract

Exploitation of genome sequences on public databases requires integrated approaches to determine gene function. Rapid phenotype fingerprinting is essential to exploit reverse genetics resources, such as the ATIS gene tag Arabidopsis mutant collection. We propose a hierarchical metabolomics approach opening with machine learning computational of high-throughput analysis of plant metabolites to facilitate comprehensive gene function determination. A major output will be a metabolome fingerprint database that will provide the basis of future applied post-genomic technologies for high-throughput mode- of-action analysis for agrochemical discovery as well as plant breeding, substantial equivalence testing of GMOs and food quality assessment. (Joint with grants 17717, 17718 and 17719).

Summary

unavailable
Committee Closed Committee - Genes & Developmental Biology (GDB)
Research TopicsX – not assigned to a current Research Topic
Research PriorityX – Research Priority information not available
Research Initiative Exploiting Genomics: Agri, Food and Environment (EGA) [2001]
Funding SchemeX – not Funded via a specific Funding Scheme
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