Title |
Molecular footprints of domestication and improvement in soybean revealed by whole genome re-sequencing
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Published in |
BMC Genomics, August 2013
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DOI | 10.1186/1471-2164-14-579 |
Pubmed ID | |
Authors |
Ying-hui Li, Shan-cen Zhao, Jian-xin Ma, Dong Li, Long Yan, Jun Li, Xiao-tian Qi, Xiao-sen Guo, Le Zhang, Wei-ming He, Ru-zhen Chang, Qin-si Liang, Yong Guo, Chen Ye, Xiao-bo Wang, Yong Tao, Rong-xia Guan, Jun-yi Wang, Yu-lin Liu, Long-guo Jin, Xiu-qing Zhang, Zhang-xiong Liu, Li-juan Zhang, Jie Chen, Ke-jing Wang, Rasmus Nielsen, Rui-qiang Li, Peng-yin Chen, Wen-bin Li, Jochen C Reif, Michael Purugganan, Jian Wang, Meng-chen Zhang, Jun Wang, Li-juan Qiu |
Abstract |
Artificial selection played an important role in the origin of modern Glycine max cultivars from the wild soybean Glycine soja. To elucidate the consequences of artificial selection accompanying the domestication and modern improvement of soybean, 25 new and 30 published whole-genome re-sequencing accessions, which represent wild, domesticated landrace, and Chinese elite soybean populations were analyzed. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Belgium | 1 | 25% |
Australia | 1 | 25% |
Germany | 1 | 25% |
Unknown | 1 | 25% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 2 | 50% |
Scientists | 1 | 25% |
Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 1% |
Netherlands | 1 | <1% |
India | 1 | <1% |
France | 1 | <1% |
China | 1 | <1% |
Argentina | 1 | <1% |
Unknown | 171 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 35 | 20% |
Researcher | 33 | 19% |
Student > Master | 26 | 15% |
Student > Bachelor | 13 | 7% |
Student > Doctoral Student | 7 | 4% |
Other | 28 | 16% |
Unknown | 36 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 104 | 58% |
Biochemistry, Genetics and Molecular Biology | 21 | 12% |
Environmental Science | 2 | 1% |
Computer Science | 2 | 1% |
Unspecified | 1 | <1% |
Other | 5 | 3% |
Unknown | 43 | 24% |