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Comparative DNA Sequence Analysis of Wheat and Rice Genomes

    • 1 Department of Plant Breeding, Cornell University, Ithaca, New York 14853, USA
    • 2 Department of Agronomy, University of Missouri, Columbia, Missouri 65211, USA
    • 3 USDA-ARS, University of Missouri, Columbia, Missouri 65211, USA
    • 4 Department of Plant Pathology, Kansas State University, Manhattan, Kansas 66506, USA
    • 5 USDA/ARS Western Regional Research Center, Albany, California 94710, USA
    • 6 Department of Agronomy and Range Science, University of California, Davis, Davis, California 95616, USA
    • 7 Department of Plant and Soil Science, Texas Tech University, Lubbock, Texas 79409, USA
    • 8 Department of Soil and Crop Sciences, Colorado State University, Fort Collins, Colorado 80524, USA
    • 9 Department of Agronomy and Plant Genetics, University of Minnesota, Twin Cities, St. Paul, Minnesota 55108-6026, USA
    • 10 Department of Plant Sciences, North Dakota State University, Fargo, North Dakota 58105-5051, USA
    • 11 Department of Botany and Plant Science, University of California, Riverside, California 92521, USA
    • 12 Department of Crop and Soil Sciences, Washington State University, Pullman, Washington 99164-6420, USA
    • 13 USDA-ARS National Program Staff, Beltsville, Maryland 20705-5139, USA
    • 14 Genetic Resources Conservation Program, University of California, Davis, Davis, California 95616, USA
Published August 5, 2003. Vol 13 Issue 8, pp. 1818-1827. https://doi.org/10.1101/gr.1113003
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cover of Genome Research Vol 36 Issue 4
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Abstract

The use of DNA sequence-based comparative genomics for evolutionary studies and for transferring information from model species to crop species has revolutionized molecular genetics and crop improvement strategies. This study compared 4485 expressed sequence tags (ESTs) that were physically mapped in wheat chromosome bins, to the public rice genome sequence data from 2251 ordered BAC/PAC clones using BLAST. A rice genome view of homologous wheat genome locations based on comparative sequence analysis revealed numerous chromosomal rearrangements that will significantly complicate the use of rice as a model for cross-species transfer of information in nonconserved regions.

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