Title |
Open access resources for genome-wide association mapping in rice
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Published in |
Nature Communications, February 2016
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DOI | 10.1038/ncomms10532 |
Pubmed ID | |
Authors |
Susan R. McCouch, Mark H. Wright, Chih-Wei Tung, Lyza G. Maron, Kenneth L. McNally, Melissa Fitzgerald, Namrata Singh, Genevieve DeClerck, Francisco Agosto-Perez, Pavel Korniliev, Anthony J. Greenberg, Ma. Elizabeth B. Naredo, Sheila Mae Q. Mercado, Sandra E. Harrington, Yuxin Shi, Darcy A. Branchini, Paula R. Kuser-Falcão, Hei Leung, Kowaru Ebana, Masahiro Yano, Georgia Eizenga, Anna McClung, Jason Mezey |
Abstract |
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. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 8 | 31% |
United Kingdom | 3 | 12% |
Germany | 2 | 8% |
Indonesia | 1 | 4% |
Norway | 1 | 4% |
France | 1 | 4% |
Australia | 1 | 4% |
Unknown | 9 | 35% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 12 | 46% |
Scientists | 9 | 35% |
Science communicators (journalists, bloggers, editors) | 4 | 15% |
Practitioners (doctors, other healthcare professionals) | 1 | 4% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | <1% |
France | 2 | <1% |
Netherlands | 1 | <1% |
Malaysia | 1 | <1% |
United Kingdom | 1 | <1% |
Israel | 1 | <1% |
Benin | 1 | <1% |
Philippines | 1 | <1% |
Unknown | 422 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 91 | 21% |
Student > Ph. D. Student | 84 | 19% |
Student > Master | 42 | 10% |
Student > Bachelor | 32 | 7% |
Student > Doctoral Student | 31 | 7% |
Other | 46 | 11% |
Unknown | 108 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 239 | 55% |
Biochemistry, Genetics and Molecular Biology | 50 | 12% |
Computer Science | 8 | 2% |
Psychology | 6 | 1% |
Environmental Science | 3 | <1% |
Other | 15 | 3% |
Unknown | 113 | 26% |