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The Oryza BAC resource: a genus-wide and genome scale tool for exploring rice genome evolution and leveraging useful genetic diversity from wild relatives - 2010 - News
2010 : The Oryza BAC resource: a genus-wide and genome scale tool for exploring rice genome evolution and leveraging useful genetic diversity from wild relatives
Posted by webmaster on 2010/11/1 23:50:00 ( 3487 reads )

Jetty S.S. Ammiraju1), Xiang Song1), Meizhong Luo2), Nicholas Sisneros1), Angelina Angelova1), David Kudrna1), HyeRan Kim3), Yeisoo Yu1), Jose Luis Goicoechea1), Mathias Lorieux4), Nori Kurata5), Darshan Brar6), Doreen Ware7)8), Scott Jackson9) and Rod A. Wing1)

Breeding Science, Vol. 60 (2010) , No. 5 536-543

Rice was the first crop to have a high-quality reference genome sequence and is now at the forefront of intense functional and evolutionary research for two reasons—its central role in world food security, and its status as a model system for grasses. A thorough characterization of the rice genome cannot be accomplished without a deep understanding of its evolutionary history. The genus Oryza contains two cultivated and 22 wild rice species that represent 10 distinct genome types embedded within a robust phylogeny spanning a ~15 million year time span. The genus contains an untapped reservoir of agriculturally important traits and a historical record of genomic changes (especially those related to domestication, polyploidy, speciation and adaption).The two main objectives of the ‘Oryza Map Alignment Project’ (OMAP) were to functionally characterize the rice genome from a comparative standpoint and to provide essential tools to leverage the novel genetic diversity from wild relatives for rice improvement. The objective of this review is to summarize our efforts towards developing the most comprehensive genus-wide set of publicly available BAC resources for the genus Oryza, the first of its kind among plants (and perhaps higher eukaryotes), and their applications.

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Attached Files: raju_breeding_sci.pdf
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A portion of AGI's material is based upon work supported by the National Science Foundation under Grant Number 102620.