Title |
Draft genome sequence of chickpea (Cicer arietinum) provides a resource for trait improvement
|
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Published in |
Nature Biotechnology, January 2013
|
DOI | 10.1038/nbt.2491 |
Pubmed ID | |
Authors |
Rajeev K Varshney, Chi Song, Rachit K Saxena, Sarwar Azam, Sheng Yu, Andrew G Sharpe, Steven Cannon, Jongmin Baek, Benjamin D Rosen, Bunyamin Tar'an, Teresa Millan, Xudong Zhang, Larissa D Ramsay, Aiko Iwata, Ying Wang, William Nelson, Andrew D Farmer, Pooran M Gaur, Carol Soderlund, R Varma Penmetsa, Chunyan Xu, Arvind K Bharti, Weiming He, Peter Winter, Shancen Zhao, James K Hane, Noelia Carrasquilla-Garcia, Janet A Condie, Hari D Upadhyaya, Ming-Cheng Luo, Mahendar Thudi, C L L Gowda, Narendra P Singh, Judith Lichtenzveig, Krishna K Gali, Josefa Rubio, N Nadarajan, Jaroslav Dolezel, Kailash C Bansal, Xun Xu, David Edwards, Gengyun Zhang, Guenter Kahl, Juan Gil, Karam B Singh, Swapan K Datta, Scott A Jackson, Jun Wang, Douglas R Cook |
Abstract |
Chickpea (Cicer arietinum) is the second most widely grown legume crop after soybean, accounting for a substantial proportion of human dietary nitrogen intake and playing a crucial role in food security in developing countries. We report the ∼738-Mb draft whole genome shotgun sequence of CDC Frontier, a kabuli chickpea variety, which contains an estimated 28,269 genes. Resequencing and analysis of 90 cultivated and wild genotypes from ten countries identifies targets of both breeding-associated genetic sweeps and breeding-associated balancing selection. Candidate genes for disease resistance and agronomic traits are highlighted, including traits that distinguish the two main market classes of cultivated chickpea--desi and kabuli. These data comprise a resource for chickpea improvement through molecular breeding and provide insights into both genome diversity and domestication. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 12 | 12% |
India | 8 | 8% |
United Kingdom | 8 | 8% |
Germany | 3 | 3% |
Chile | 2 | 2% |
Netherlands | 2 | 2% |
Belgium | 2 | 2% |
Spain | 2 | 2% |
China | 2 | 2% |
Other | 18 | 18% |
Unknown | 40 | 40% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 65 | 66% |
Scientists | 30 | 30% |
Science communicators (journalists, bloggers, editors) | 4 | 4% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
India | 7 | <1% |
United States | 6 | <1% |
Spain | 3 | <1% |
United Kingdom | 3 | <1% |
Brazil | 3 | <1% |
Netherlands | 2 | <1% |
Germany | 2 | <1% |
China | 2 | <1% |
France | 2 | <1% |
Other | 13 | 2% |
Unknown | 672 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 152 | 21% |
Researcher | 151 | 21% |
Student > Master | 84 | 12% |
Student > Doctoral Student | 39 | 5% |
Professor > Associate Professor | 34 | 5% |
Other | 99 | 14% |
Unknown | 156 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 406 | 57% |
Biochemistry, Genetics and Molecular Biology | 91 | 13% |
Computer Science | 14 | 2% |
Environmental Science | 8 | 1% |
Social Sciences | 4 | <1% |
Other | 23 | 3% |
Unknown | 169 | 24% |