Open access resources for genome-wide association mapping in rice

被引:346
作者
McCouch, Susan R. [1 ,2 ]
Wright, Mark H. [1 ,8 ]
Tung, Chih-Wei [1 ,9 ]
Maron, Lyza G. [1 ]
McNally, Kenneth L. [3 ]
Fitzgerald, Melissa [3 ,4 ]
Singh, Namrata [1 ]
DeClerck, Genevieve [1 ]
Agosto-Perez, Francisco [1 ,2 ]
Korniliev, Pavel [1 ,2 ]
Greenberg, Anthony J. [1 ,2 ]
Naredo, Ma. Elizabeth B. [3 ]
Mercado, Sheila Mae Q. [3 ]
Harrington, Sandra E. [1 ]
Shi, Yuxin [1 ]
Branchini, Darcy A. [5 ,10 ]
Kuser-Falcao, Paula R. [1 ,11 ]
Leung, Hei [3 ]
Ebana, Kowaru [6 ]
Yano, Masahiro [6 ]
Eizenga, Georgia [7 ]
McClung, Anna [7 ]
Mezey, Jason [2 ]
机构
[1] Cornell Univ, Sch Integrat Plant Sci, Plant Breeding & Genet sect, Ithaca, NY 14850 USA
[2] Cornell Univ, Dept Biol Stat & Computat Biol, Ithaca, NY 14850 USA
[3] Int Rice Res Inst, DAPO Box 7777,1301 Metro, Manila, Philippines
[4] Univ Queensland, Sch Food Sci, St Lucia, Qld 4072, Australia
[5] Cornell Univ, Transnat Learning Ctr, Ithaca, NY 14850 USA
[6] Natl Inst Agrobiol Sci, 2-1-2 Kannondai, Tsukuba, Ibaraki 3058602, Japan
[7] USDA ARS, Dale Bumpers Natl Rice Res Ctr, 2890 Hwy 130 E, Stuttgart, AR 72160 USA
[8] Stanford Sch Med, Dept Genet, Stanford, CA 94305 USA
[9] Natl Taiwan Univ, Dept Agron, Taipei 106, Taiwan
[10] Cornell Univ, Mann Lib, Ithaca, NY 14850 USA
[11] Embrapa Agr Informat, BR-13083886 Campinas, Brazil
来源
NATURE COMMUNICATIONS | 2016年 / 7卷
基金
美国农业部; 美国国家科学基金会;
关键词
GRAIN LENGTH; ORYZA-SATIVA; POPULATION-STRUCTURE; PLANT HEIGHT; DWARF MUTANT; MAJOR QTL; GENE; SIZE; DIVERSITY; ENCODES;
D O I
10.1038/ncomms10532
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Increasing food production is essential to meet the demands of a growing human population, with its rising income levels and nutritional expectations. To address the demand, plant breeders seek new sources of genetic variation to enhance the productivity, sustainability and resilience of crop varieties. Here we launch a high-resolution, open-access research platform to facilitate genome-wide association mapping in rice, a staple food crop. The platform provides an immortal collection of diverse germplasm, a high-density single-nucleotide polymorphism data set tailored for gene discovery, well-documented analytical strategies, and a suite of bioinformatics resources to facilitate biological interpretation. Using grain length, we demonstrate the power and resolution of our new high-density rice array, the accompanying genotypic data set, and an expanded diversity panel for detecting major and minor effect QTLs and subpopulation-specific alleles, with immediate implications for rice improvement.
引用
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页数:13
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