Award details

Molecular genetics of the forage grasses

Reference	BBS/E/G/00003123
Principal Investigator / Supervisor	Professor Ian King
Co-Investigators / Co-Supervisors
Institution	Inst of Grassland and Environmental Res
Department	Inst of Grassland and Environmental Res Department
Funding type	Research
Value (£)	966,823
Status	Completed
Type	Institute Project
Start date	01/04/1999
End date	31/03/2003
Duration	48 months

Abstract

1)Alien introgression. The aim of this work is to transfer genes controlling important traits from the Festucae into Lolium. This involves the (i) identification of genetic variation for target traits within the Festucae, (ii) production of Lolium/Festuca hybrids and introgression lines, (iii) genetic and physical mapping of introgressed Festuca chromosome segments. This work is resulting in the determination of the number of genes controlling traits and their chromosomal location. In addition this work will provide the starting material for the isolation of genes via chromosome landing techniques. 2) Genomics. A novel Lolium perenne(Lp)/Festuca pratensis (Fp) introgression system will be used to generate high resolution physical and genetic maps of a Festuca chromosome syntenous with rice chromosome 1 and wheat chromosome 3. Rice group 1 Ests will be physically mapped on the chromosome. This will allow the determination and comparison of the evolutionary and organisational relationships between physical gene distribution and recombination frequency in large- and small-genome plant species. 3) Gene isolation & Functional genomics . The objectives of this work are to isolate target genes from either (i) introgressed Festuca chromosome segments or Lolium via the use of BAC libraries or (ii) maize using the maize Mutator grid. Gene isolation using BAC libraries will utilise high density genetic maps of regions of either the Festuca or Lolium genome accompanied by the application of chromosome landing strategies. Gene function will be determined via gene knockouts in maize.5) Metabolomics. This work will examine the potential of using analytical techniques including FT-IR and multivariate analysis methodologies such as genetic programming and artificial neural networks for use in plant identification, classification and plant breeding etc.

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	X - not in an Initiative
Funding Scheme	X – not Funded via a specific Funding Scheme

I accept the terms and conditions of use (opens in new window)

export PDF file

back to list new search