Title |
Functional annotation of the transcriptome of Sorghum bicolor in response to osmotic stress and abscisic acid
|
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Published in |
BMC Genomics, October 2011
|
DOI | 10.1186/1471-2164-12-514 |
Pubmed ID | |
Authors |
Diana V Dugas, Marcela K Monaco, Andrew Olson, Robert R Klein, Sunita Kumari, Doreen Ware, Patricia E Klein |
Abstract |
Higher plants exhibit remarkable phenotypic plasticity allowing them to adapt to an extensive range of environmental conditions. Sorghum is a cereal crop that exhibits exceptional tolerance to adverse conditions, in particular, water-limiting environments. This study utilized next generation sequencing (NGS) technology to examine the transcriptome of sorghum plants challenged with osmotic stress and exogenous abscisic acid (ABA) in order to elucidate genes and gene networks that contribute to sorghum's tolerance to water-limiting environments with a long-term aim of developing strategies to improve plant productivity under drought. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Brazil | 6 | 2% |
United States | 4 | 1% |
Australia | 2 | <1% |
Malaysia | 1 | <1% |
Israel | 1 | <1% |
India | 1 | <1% |
United Kingdom | 1 | <1% |
Colombia | 1 | <1% |
Thailand | 1 | <1% |
Other | 3 | 1% |
Unknown | 266 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 72 | 25% |
Researcher | 69 | 24% |
Student > Master | 37 | 13% |
Student > Postgraduate | 18 | 6% |
Professor > Associate Professor | 13 | 5% |
Other | 37 | 13% |
Unknown | 41 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 191 | 67% |
Biochemistry, Genetics and Molecular Biology | 21 | 7% |
Environmental Science | 4 | 1% |
Engineering | 4 | 1% |
Computer Science | 3 | 1% |
Other | 16 | 6% |
Unknown | 48 | 17% |