PAG-IX: GENETICALLY AND PHYSICALLY ANCHORED EST RESOURCES FOR BARLEY GENOMICS

PAG-IX   Plant & Animal Genome IX Conference

Town & Country Hotel, San Diego, CA, January 13-17, 2001.


Workshop: Barley
W13_06.html

GENETICALLY AND PHYSICALLY ANCHORED EST RESOURCES FOR BARLEY GENOMICS

TIMOTHY J CLOSE1, Rod Wing2, Andris Kleinhofs3, Roger P Wise4,

1 Department of Botany & Plant Sciences, University of California, Riverside, CA, 92521-0124, USA
2 Clemson University Genomics Institute, Clemson, SC, 29634, USA
3 Department of Crop and Soil Sciences, Washington State University, Pullman, WA, 99164-6420, USA
4 Corn Insects and Crop Genetics Research, USDA-ARS and Department of Plant Pathology, Iowa State University, Ames, IA, 50011-1020, USA

Complete sequencing of the large genome plants such as barley (5,000 Mb) and its important Triticeae relative wheat (16,000 Mb) is not yet practical. A proven and more affordable solution to gene discovery is to develop expressed sequence tag (EST) databases. The objective of this project is to establish and provide to the public sector a non-redundant barley EST resource. The specific objectives are: 1) develop high quality cDNA libraries from important developmental stages and tissue types; 2) sequence the 5' end, characterize and display 50,000 barley EST's, and 3) anchor prioritized EST's to the barley genetic map and to barley and rice BAC libraries. This effort focuses principally on Morex barley, from which a 6.3X BAC library was previously produced [Yu et al. (2000) TAG in press]. The cDNA libraries in this project include a range of vegetative and reproductive tissues, and include normal as well as several biotic and abiotic stress treatments. Approximately 15,000 ESTs were completed as of Fall 2000. All DNA sequence data is posted at CUGI Barley EST Site and deposited on dbEST. It is anticipated that 50,000 ESTs will be complete by Spring 2001. The next phase of the project involves the identification of BAC clones that match a prioritized list of 600 barley ESTs, and genetically mapping as many of these as possible using the Steptoe x Morex and Harrington x Morex mapping populations.


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