NSF LogoNSF Award Abstract - #0321462 AWSFL008-DS3

Development of Diploid Wheat (Triticum Monococcum) Deletion Lines for Reverse
Genetics.

NSF Org DBI
Latest Amendment Date July 8, 2004
Award Number 0321462
Award Instrument Continuing grant
Program Manager Jane Silverthorne
DBI DIV OF BIOLOGICAL INFRASTRUCTURE
BIO DIRECT FOR BIOLOGICAL SCIENCES
Start Date September 1, 2003
Expires August 31, 2005 (Estimated)
Expected Total Amount $1808502 (Estimated)
Investigator Shahryar F. Kianian s.kianian@ndsu.nodak.edu (Principal Investigator current)
Bikram S. Gill (Co-Principal Investigator current)
Ramin Yadegari (Co-Principal Investigator current)
Jorge Dubcovsky (Co-Principal Investigator current)
Oscar Riera-Lizarazu (Co-Principal Investigator current)
Sponsor North Dakota State U Fargo
1735 Research Park Drive
Fargo, ND 581055756 701/231-8045
NSF Program 1329 PLANT GENOME RESEARCH PROJECT
Field Application
Program Reference Code 9109,9150,BIOT,

Abstract

Wheat is the single most important source of plant protein in the human diet and together with other cereal grains (rice, corn, sorghum, barley, millet, and oats) accounts for most of the food directly consumed by humans.

The challenge for the post-sequencing era is to identify the biological functions of sequenced genes. Reverse genetics - the discovery of gene function by searching for lesions in specific genes - plays an essential role in that process. The large, complex genomes of important crop species like wheat necessitate the development of a large number of mutants, and genetic screening methods developed to date do not support the high throughput necessary for making this search efficient. We intend to optimize and demonstrate a model screening system applicable to any large genome species.

Research resources We will produce a collection of lines carrying small deletions in the genome in the cultivated diploid wheat, Triticum monococcum. Screening of this mutant collection for lesions in genes of interest can be accomplished efficiently through a pooling scheme combined with a method termed DEALING (DEtecting Adduct Lesions IN Genomes). We will demonstrate the utility of this approach by identifying mutations that affect reproductive development in wheat. We will also develop a database, WIRE (the Wheat Information Resource), to disseminate the information generated by this and future DEALING experiments.


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