Millicent D. Alexandrov Sanciangco1, Kevin L. Childs2, Regina Bohnert3, Rebecca M. Davidson4,5, Keyan Zhao6, Victor Jun Ulat1, Georg Zeller7,8, Richard M. Clark8, Douglas Hoen9, Thomas E. Bureau9, Renee Stokowski10, Dennis G. Ballinger10, Kelly A. Frazer10, David R. Cox10, Badri Padhukasahasram6, Carlos D. Bustamante6, Detlef Weigel8, D. J. Mackill1, Richard Bruskiewich1, Gunnar Rätsch3, C. Robin Buell2, Hei Leung1, Jan E. Leach4,5
1International Rice Research Institute, DAPO Box 7777, Metro Manila 1301, The Philippines;
2Department of Plant Biology, Michigan State University, 166 Plant Biology Building, East Lansing, MI 48824;
3Friedrich Miescher Laboratory of the Max Planck Society, D-72076 Tübingen, Germany;
4Bioagricultural Sciences and Pest Management and Program in Plant Molecular Biology, Colorado State University, Fort Collins, CO 80523-1177;
6Department of Biological Statistics and Computational Biology, Cornell University, Ithaca, NY 14853
7#N##TAB##TAB##TAB##TAB# Max Planck Institute for Developmental Biology#N##TAB##TAB##TAB#
8Department of Molecular Biology, Max Planck Institute for Developmental Biology, D-72076 Tübingen, Germany
9Department of Biology, McGill University, 1205 Dr. Penfield Avenue, Montreal, QC, Canada H3A 1B1; and
10Perlegen Sciences, Inc., 2021 Stierlin Court, Mountain View, CA 94043
Tóm tắt
Rice, the primary source of dietary calories for half of humanity, is the first crop plant for which a high-quality reference genome sequence from a single variety was produced. We used resequencing microarrays to interrogate 100 Mb of the unique fraction of the reference genome for 20 diverse varieties and landraces that capture the impressive genotypic and phenotypic diversity of domesticated rice. Here, we report the distribution of 160,000 nonredundant SNPs. Introgression patterns of shared SNPs revealed the breeding history and relationships among the 20 varieties; some introgressed regions are associated with agronomic traits that mark major milestones in rice improvement. These comprehensive SNP data provide a foundation for deep exploration of rice diversity and gene–trait relationships and their use for future rice improvement.
