Award details

The Arabidopsis Functional Genomics Resource Network: Metabolic profiling of Arabidopsis

Reference	IGF12435
Principal Investigator / Supervisor	Professor Michael Beale
Co-Investigators / Co-Supervisors	Professor Ian Bancroft, Professor Michael Bevan, Professor James Beynon, Professor Paul Dupree, Professor Jonathan Jones, Professor Ottoline Leyser, Dr David Lonsdale, Professor Sean May
Institution	Rothamsted Research
Department	Sustainable Soils and Grassland Systems
Funding type	Research
Value (£)	363,656
Status	Completed
Type	Research Grant
Start date	14/08/2000
End date	14/08/2003
Duration	36 months

Abstract

GARNet, the Genomic Arabidopsis Resources Network aims to create resources and services of functional genomics. The technologies of functional genomics are developing rapidly, and there is a large need for wide availability of these technologies. The IGF initiative ensures functional genomics technologies will become available to a wide audience. Transcriptome analysis, bioinformatics, metabolite profiling, proteome analysis and forward and reverse genetics are the spearpoints of the Arabidopsis GARNet project. The wide range of available genomic resources will allow for fast progress of a wide range of research projects. The GARNet service providers undertake the development and maintenance of the different resources and facilities. The aim is to provide the UK Arabidopsis community with access to high quality services, but international access to the recourses is also possible. The Garnet Steering Committee will monitor the progress of the project and is responsible for prioritising access to the resources. This part of the GARNet network aims to develop mass spectrometric methods for the profiling of metabolites in Arabidopsis. The key issue in the development of methods for screening of mutant or tagged lines is achieving high throughput without loss of accuracy or information content. We aim to take two approaches: 1) at IACR-LARS, the automation of traditional extraction and clean-up procedures coupled with automated GC-MS and LC-MS; and 2) at the Institute of Biological Sciences, Aberystwyth, the chemometric analysis of electrospray MS data generated from crude extracts. By combining the two approaches we will develop the optimum methods for rapid screening of Arabidopsis lines to allow the integration of metabolic data with gene sequence and expression data. (Joint with grants 42/IGF12422, 208/IGF12424, 207/IGF12428, 8/IGF12429, 208/IGF12438, 208/IGF12441, 83/IGF12442 and 87/IGF12443.)

Summary

unavailable

Committee	Closed Committee - Genes & Developmental Biology (GDB)
Research Topics	X – not assigned to a current Research Topic
Research Priority	X – Research Priority information not available
Research Initiative	Investigating Gene Function (IGF) [1999-2005]
Funding Scheme	X – not Funded via a specific Funding Scheme

Associated awards:

IGF12422 The Arabidopsis Functional Genomics Resource Network: Development of an array and Bioinformatics facility at NASC

IGF12424 The Arabidopsis Functional Genomics Resource Network: Analysis and annotation of ESTs for Micro-arraying and identification of primers for amplification of GSTs

IGF12428 The Arabidopsis Functional Genomics Resource Network: Provision of genome sequence tags to Arabidopsis micro-array facility

IGF12429 The Arabidopsis Functional Genomics Resource Network: Proteomics facility for the UK Arabidopsis community

IGF12438 The Arabidopsis Functional Genomics Resource Network: Sequencing transposon insertion sites

IGF12441 The Arabidopsis Functional Genomics Resource Network: Construction identification and supply of systematic gene transfer clones

IGF12442 The Arabidopsis Functional Genomics Resource Network: Arabidopsis insertion mutagenesis: sequencing dSpm insertions and generating new dSpm insertion

IGF12443 The Arabidopsis Functional Genomics Resource Network: Coordination

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