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Transcriptomic profiling for prolonged drought in Dendrobium catenatum
- Source :
- Scientific Data
- Publication Year :
- 2018
- Publisher :
- Springer Science and Business Media LLC, 2018.
-
Abstract
- Orchid epiphytes, a group containing at least 18,000 species, thrive in habitats that often undergo periodic drought stress. However, few global gene expression profiling datasets have been published for studies addressing the drought-resistant mechanism of this special population. In this study, an experiment involving the effect of continuous drought treatments on an epiphytic orchid, Dendrobium catenatum, was designed to generate 39 mature-leaf-tissue RNA-seq sequencing datasets with over two billion reads. These datasets were validated by a series of quality assessments including RNA sample quality, RNA-seq read quality, and global gene expression profiling. We believe that these comprehensive transcriptomic resources will allow a better understanding of the drought-resistant mechanisms of orchid epiphytes.
- Subjects :
- 0106 biological sciences
0301 basic medicine
Statistics and Probability
Data Descriptor
Drought stress
Special populations
Computational biology
Library and Information Sciences
Biology
01 natural sciences
Education
Transcriptome
03 medical and health sciences
Profiling (information science)
Transcriptomics
Drought
Sequence Analysis, RNA
Gene Expression Profiling
fungi
Dendrobium catenatum
food and beverages
RNA sequencing
Droughts
Computer Science Applications
Gene expression profiling
Sample quality
030104 developmental biology
Epiphyte
Statistics, Probability and Uncertainty
Dendrobium
010606 plant biology & botany
Information Systems
Subjects
Details
- ISSN :
- 20524463
- Volume :
- 5
- Database :
- OpenAIRE
- Journal :
- Scientific Data
- Accession number :
- edsair.doi.dedup.....1af28ab459fa66e0eaa2faeb31f782d9