Title |
Small RNA and transcriptome deep sequencing proffers insight into floral gene regulation in Rosa cultivars
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Published in |
BMC Genomics, November 2012
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DOI | 10.1186/1471-2164-13-657 |
Pubmed ID | |
Authors |
Jungeun Kim, June Hyun Park, Chan Ju Lim, Jae Yun Lim, Jee-Youn Ryu, Bong-Woo Lee, Jae-Pil Choi, Woong Bom Kim, Ha Yeon Lee, Yourim Choi, Donghyun Kim, Cheol-Goo Hur, Sukweon Kim, Yoo-Sun Noh, Chanseok Shin, Suk-Yoon Kwon |
Abstract |
Roses (Rosa sp.), which belong to the family Rosaceae, are the most economically important ornamental plants--making up 30% of the floriculture market. However, given high demand for roses, rose breeding programs are limited in molecular resources which can greatly enhance and speed breeding efforts. A better understanding of important genes that contribute to important floral development and desired phenotypes will lead to improved rose cultivars. For this study, we analyzed rose miRNAs and the rose flower transcriptome in order to generate a database to expound upon current knowledge regarding regulation of important floral characteristics. A rose genetic database will enable comprehensive analysis of gene expression and regulation via miRNA among different Rosa cultivars. |
X Demographics
Geographical breakdown
Country | Count | As % |
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France | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
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Scientists | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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India | 1 | 1% |
Netherlands | 1 | 1% |
France | 1 | 1% |
Brazil | 1 | 1% |
Unknown | 80 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 23 | 27% |
Researcher | 21 | 25% |
Student > Master | 7 | 8% |
Student > Postgraduate | 6 | 7% |
Professor > Associate Professor | 6 | 7% |
Other | 11 | 13% |
Unknown | 10 | 12% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 57 | 68% |
Biochemistry, Genetics and Molecular Biology | 9 | 11% |
Chemistry | 2 | 2% |
Nursing and Health Professions | 1 | 1% |
Computer Science | 1 | 1% |
Other | 3 | 4% |
Unknown | 11 | 13% |