|FLEURY, DELPHINE - University Of Adelaide|
|LUO, MING-CHENG - University Of California|
|DVORAK, JAN - University Of California|
|RAMSAY, LUKE - Scottish Crops Research Institute (SCRI)|
|GILL, BIKRAM - Kansas State University|
|YOU, FRANK - University Of California|
|SCHOAEI, ZAHRA - University Of Adelaide|
|DEAL, KARIN - University Of California|
|LANGRIDGE, PETER - University Of California|
Submitted to: Biomed Central (BMC) Plant Biology
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 6/7/2010
Publication Date: 6/16/2010
Citation: Fleury, D., Luo, M., Dvorak, J., Ramsay, L., Gill, B., Anderson, O.D., You, F., Schoaei, Z., Deal, K., Langridge, P. 2010. Physical mapping of a large plant genome using global high-information-content-fingerprinting: the distal region of the wheat ancestor Aegilops tauschii chromosome 3DS. Biomed Central (BMC) Plant Biology. 10:113.
Interpretive Summary: Wheat is one of the world's most important crops, but because of the large size of the wheat genome it has been difficult to apply the most advanced genomics technologies to improving wheat. This report explores two approaches to help improve this situation. One approach is to use the smaller genome of a close ancestor of wheat, the diploid grass Aegilops tauschii as model system. The other approach is to use the similar order of genes long the chromosome in different grasses, including those, such as rice, that are easier to study. Using these approaches, a section of one chromosome arm was subjected to high-resolution physical mapping as a demonstration of the utility of such a combined strategy.
Technical Abstract: Physical maps employing libraries of bacterial artificial chromosome (BAC) clones are essential for comparative genomics and sequencing of large and repetitive genomes such as those of the hexaploid bread wheat. The diploid ancestor of wheat genome, Aegilops tauschii, is used as a resource for wheat D-genome genomics. The barley diploid genome is only slightly larger than the ancestor wheat D genome, making it another good model for the Triticeae and Triticum aestivum. Gene co-linearity between the grass can be exploited by extrapolating the knowledge obtained from rice to Ae. tauschii or barley, and then from them to wheat.