Difference between revisions of "IC4R005-lncRNA-2016-19769571"
(→Plant Culture & Treatment) |
(→The Background of This Project) |
||
| Line 3: | Line 3: | ||
==The Background of This Project== | ==The Background of This Project== | ||
| + | * Drought-stress can cause major economic loss and is a serious issue to address in agriculture. Defining the molecular pathways in how a plant responds to droughtstress may prove valuable in developing new drought-resistant plants. In this study, the researchers identified several novel drought-responsive regulatory coding and noncoding transcripts in rice, Oryza sativa L., using the next generation sequencing (NGS) technique and bioinformatics analyses. | ||
==Plant Culture & Treatment== | ==Plant Culture & Treatment== | ||
Revision as of 14:38, 16 July 2016
Contents
Project Title
- Novel drought-responsive regulatory coding and non-coding transcripts from Oryza Sativa L.
The Background of This Project
- Drought-stress can cause major economic loss and is a serious issue to address in agriculture. Defining the molecular pathways in how a plant responds to droughtstress may prove valuable in developing new drought-resistant plants. In this study, the researchers identified several novel drought-responsive regulatory coding and noncoding transcripts in rice, Oryza sativa L., using the next generation sequencing (NGS) technique and bioinformatics analyses.
Plant Culture & Treatment
- Rice plants, O.sativa L. Nipponbare, were acquired from the Rural Development Administration of Korea (RDA). The rice plants were cultured in Yoshida solution at pH 5.8 and maintained in a temperaturecontrolled culture room at 29 �C under 16 h/8 h light/dark conditions. Rice plants at the three-leaf stage were subjected to drought-stress for 1 and 6 h by removal of the culture solution. Untreated plants were used as control. After treatment, entire plants were immediately transferred into liquid nitrogen.
Research Findings
Labs working on this Project
- Department of Biomedical Sciences, Sunmoon University, Asan 336-708, Korea
- Department of Computer Science and Engineering, Seoul National University, Gwanak-Gu, Seoul 151-744, Republic of Korea
- Interdisciplinary Program in Bioinformatics, Seoul National University, Gwanak-Gu, Seoul 151-747, Republic of Korea
- Bioinformatics Institute, Seoul National University, GwanakGu, Seoul 151-747, Republic of Korea
Corresponding Author
- Hawk-Bin Kwon: hbkwon@sunmoon.ac.kr
