1a.Objectives (from AD-416)
Grass species including many important cereal and bioenergy crops are integral to U.S. future plans for sustainable food and energy. To meet the increasing demands for food and energy fuel worldwide, it is necessary to develop valuable genomics resource and knowledge that can be directly applied to crop improvement and biofuel research. This project will use genomics and bioinformatics to develop knowledge and resources for cereal and biofuel improvement, including utilizing the new grass model species Brachypodium to search for genes associated with agronomical traits such as grain development and cell wall biosynthesis. Project will enhance data within public databases and connect these data to other relevant data and databases.
1b.Approach (from AD-416)
1) Improve Agrobacterium-mediated transformation of Brachypodium for high-throughput generation of T-DNA tagged mutant population. 2)Contribute to the development, maintenance, and distribution of T-DNA tagged mutant plants. 3)Molecular and genetic characterization of mutants by directly linking the corresponding genes onto genetic and physical maps of both wheat and Brachypodium, . 4)Collaborate in development software tools for processing of data and website to make the data accessible to public.. 5)Data collation and curation for inclusion in the GrainGenes database. Documents SCA with UC Davis. Formerly 5325-21000-013-10S (11/09).
A genome-wide physical map has been constructed to facilitate the comparative analysis with wheat and other cereal crops. Over 60,000 Bacterial Artificial Chromosome (BAC) end sequences (BES) have been generated and anchored to the physical map. These BES were used to identify SSR markers that are directly associated with the physical maps. The physical mapping data and related resources developed are available at http://phymap.ucdavis.edu/brachypodium/ website for community use. In addition, The T-DNA insertion sites have been determined by Sanger sequencing for ~ 7000 mutant lines to facilitate the functional analysis of tagged genes. Monitoring activities for research progress included site visits, meetings, conference calls, e-mail and phone calls.