Title |
Building the sugarcane genome for biotechnology and identifying evolutionary trends
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Published in |
BMC Genomics, June 2014
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DOI | 10.1186/1471-2164-15-540 |
Pubmed ID | |
Authors |
Nathalia de Setta, Cláudia Barros Monteiro-Vitorello, Cushla Jane Metcalfe, Guilherme Marcelo Queiroga Cruz, Luiz Eduardo Del Bem, Renato Vicentini, Fábio Tebaldi Silveira Nogueira, Roberta Alvares Campos, Sideny Lima Nunes, Paula Cristina Gasperazzo Turrini, Andreia Prata Vieira, Edgar Andrés Ochoa Cruz, Tatiana Caroline Silveira Corrêa, Carlos Takeshi Hotta, Alessandro de Mello Varani, Sonia Vautrin, Adilson Silva da Trindade, Mariane de Mendonça Vilela, Carolina Gimiliani Lembke, Paloma Mieko Sato, Rodrigo Fandino de Andrade, Milton Yutaka Nishiyama, Claudio Benicio Cardoso-Silva, Katia Castanho Scortecci, Antônio Augusto Franco Garcia, Monalisa Sampaio Carneiro, Changsoo Kim, Andrew H Paterson, Hélène Bergès, Angélique D’Hont, Anete Pereira de Souza, Glaucia Mendes Souza, Michel Vincentz, João Paulo Kitajima, Marie-Anne Van Sluys |
Abstract |
Sugarcane is the source of sugar in all tropical and subtropical countries and is becoming increasingly important for bio-based fuels. However, its large (10 Gb), polyploid, complex genome has hindered genome based breeding efforts. Here we release the largest and most diverse set of sugarcane genome sequences to date, as part of an on-going initiative to provide a sugarcane genomic information resource, with the ultimate goal of producing a gold standard genome. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 1 | 13% |
India | 1 | 13% |
Kenya | 1 | 13% |
China | 1 | 13% |
Unknown | 4 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 50% |
Scientists | 3 | 38% |
Practitioners (doctors, other healthcare professionals) | 1 | 13% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Brazil | 11 | 5% |
Thailand | 2 | <1% |
Netherlands | 1 | <1% |
France | 1 | <1% |
Australia | 1 | <1% |
Israel | 1 | <1% |
United Kingdom | 1 | <1% |
Colombia | 1 | <1% |
Argentina | 1 | <1% |
Other | 3 | 1% |
Unknown | 186 | 89% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 43 | 21% |
Researcher | 41 | 20% |
Student > Master | 32 | 15% |
Student > Doctoral Student | 19 | 9% |
Student > Postgraduate | 15 | 7% |
Other | 37 | 18% |
Unknown | 22 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 137 | 66% |
Biochemistry, Genetics and Molecular Biology | 32 | 15% |
Environmental Science | 2 | <1% |
Computer Science | 2 | <1% |
Psychology | 2 | <1% |
Other | 5 | 2% |
Unknown | 29 | 14% |