由亞洲,、北美和歐洲科學(xué)家合作研究的水稻遺傳多樣性將有助于改進(jìn)水稻生產(chǎn)。Proceedings of the National Academy of Sciences在線討論了這組科學(xué)家的發(fā)現(xiàn)，他們檢查了20種國(guó)際育種中使用的水稻品種的基因組。
科學(xué)家研究了單核苷酸多態(tài)性（SNP）使水稻品種產(chǎn)生的差異,。國(guó)家水稻研究所（IRRI）所長(zhǎng)Robert Zeigler說：“如果育種者能多知道一些水稻的遺傳組成，就能更有效的利用它,。由于我們面對(duì)氣候變化的不確定性,，我們將開發(fā)更多的水稻多樣性來(lái)研發(fā)改良水稻品種”。
合作者包括科羅拉多州立大學(xué),、密歇根州立大學(xué),、Perlegen Sciences公司、McGill大學(xué),、馬普發(fā)育生物學(xué)研究所,、馬普學(xué)會(huì)Friedrich Miescher實(shí)驗(yàn)室和康乃爾大學(xué)，他們受到Generation Challenge項(xiàng)目和美國(guó)農(nóng)業(yè)部的資助,。（生物谷Bioon.com）
生物谷推薦原始出處：
PNAS July 13, 2009, doi: 10.1073/pnas.0900992106
Genomewide SNP variation reveals relationships among landraces and modern varieties of rice
Kenneth L. McNallya,1, Kevin L. Childsb, Regina Bohnertc, Rebecca M. Davidsond, Keyan Zhaoe, Victor J. Ulata, Georg Zellerc,f, Richard M. Clarkf, Douglas R. Hoeng, Thomas E. Bureaug, Renee Stokowskih, Dennis G. Ballingerh, Kelly A. Frazerh, David R. Coxh, Badri Padhukasahasrame, Carlos D. Bustamantee, Detlef Weigelf, David J. Mackilla, Richard M. Bruskiewicha, Gunnar R?tschc, C. Robin Buellb, Hei Leunga and Jan E. Leachd,1
aInternational Rice Research Institute, DAPO Box 7777, Metro Manila 1301, The Philippines;
bDepartment of Plant Biology, Michigan State University, 166 Plant Biology Building, East Lansing, MI 48824;
cFriedrich Miescher Laboratory of the Max Planck Society, D-72076 Tübingen, Germany;
dBioagricultural Sciences and Pest Management and Program in Plant Molecular Biology, Colorado State University, Fort Collins, CO 80523-1177;
eDepartment of Biological Statistics and Computational Biology, Cornell University, Ithaca, NY 14853;
fDepartment of Molecular Biology, Max Planck Institute for Developmental Biology, D-72076 Tübingen, Germany;
gDepartment of Biology, McGill University, 1205 Dr. Penfield Avenue, Montreal, QC, Canada H3A 1B1; and
hPerlegen Sciences, Inc., 2021 Stierlin Court, Mountain View, CA 94043
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.
