Title |
A reference genome for common bean and genome-wide analysis of dual domestications
|
---|---|
Published in |
Nature Genetics, June 2014
|
DOI | 10.1038/ng.3008 |
Pubmed ID | |
Authors |
Jeremy Schmutz, Phillip E McClean, Sujan Mamidi, G Albert Wu, Steven B Cannon, Jane Grimwood, Jerry Jenkins, Shengqiang Shu, Qijian Song, Carolina Chavarro, Mirayda Torres-Torres, Valerie Geffroy, Samira Mafi Moghaddam, Dongying Gao, Brian Abernathy, Kerrie Barry, Matthew Blair, Mark A Brick, Mansi Chovatia, Paul Gepts, David M Goodstein, Michael Gonzales, Uffe Hellsten, David L Hyten, Gaofeng Jia, James D Kelly, Dave Kudrna, Rian Lee, Manon M S Richard, Phillip N Miklas, Juan M Osorno, Josiane Rodrigues, Vincent Thareau, Carlos A Urrea, Mei Wang, Yeisoo Yu, Ming Zhang, Rod A Wing, Perry B Cregan, Daniel S Rokhsar, Scott A Jackson |
Abstract |
Common bean (Phaseolus vulgaris L.) is the most important grain legume for human consumption and has a role in sustainable agriculture owing to its ability to fix atmospheric nitrogen. We assembled 473 Mb of the 587-Mb genome and genetically anchored 98% of this sequence in 11 chromosome-scale pseudomolecules. We compared the genome for the common bean against the soybean genome to find changes in soybean resulting from polyploidy. Using resequencing of 60 wild individuals and 100 landraces from the genetically differentiated Mesoamerican and Andean gene pools, we confirmed 2 independent domestications from genetic pools that diverged before human colonization. Less than 10% of the 74 Mb of sequence putatively involved in domestication was shared by the two domestication events. We identified a set of genes linked with increased leaf and seed size and combined these results with quantitative trait locus data from Mesoamerican cultivars. Genes affected by domestication may be useful for genomics-enabled crop improvement. |
Twitter Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 10 | 26% |
Mexico | 5 | 13% |
Belgium | 1 | 3% |
Montenegro | 1 | 3% |
Ireland | 1 | 3% |
Netherlands | 1 | 3% |
Germany | 1 | 3% |
Brazil | 1 | 3% |
Colombia | 1 | 3% |
Other | 2 | 5% |
Unknown | 15 | 38% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 18 | 46% |
Members of the public | 18 | 46% |
Science communicators (journalists, bloggers, editors) | 3 | 8% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 10 | 1% |
Brazil | 10 | 1% |
Spain | 4 | <1% |
Mexico | 3 | <1% |
United Kingdom | 3 | <1% |
Netherlands | 2 | <1% |
France | 2 | <1% |
Japan | 2 | <1% |
Canada | 2 | <1% |
Other | 16 | 2% |
Unknown | 850 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 178 | 20% |
Researcher | 166 | 18% |
Student > Master | 134 | 15% |
Student > Bachelor | 77 | 9% |
Student > Doctoral Student | 68 | 8% |
Other | 126 | 14% |
Unknown | 155 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 534 | 59% |
Biochemistry, Genetics and Molecular Biology | 126 | 14% |
Environmental Science | 16 | 2% |
Computer Science | 11 | 1% |
Business, Management and Accounting | 6 | <1% |
Other | 42 | 5% |
Unknown | 169 | 19% |