文献类型：期刊文献

英文题名：Data Descriptor: Transcriptomic profiling for prolonged drought in Dendrobium catenatum

作者：Wan, Xiao[1] Zou, Long-Hai[1] Zheng, Bao-Qiang[1] Tian, Ying-Qiu[2] Wang, Yan[1]

第一作者：Wan, Xiao

通信作者：Wang, Y[1]

机构：[1]Chinese Acad Forestry, State Key Lab Tree Genet & Breeding, Key Lab Tree Breeding & Cultivat, State Forestry Adm,Res Inst Forestry, Beijing 100091, Peoples R China;[2]Wenshan Acad Agr Sci, 2 Taikang Rd West, Wenshan 663099, Peoples R China

年份：2018

卷号：5

外文期刊名：SCIENTIFIC DATA

收录：;WOS:【SCI-EXPANDED(收录号:WOS:000448759000002)】；

基金：This work was supported by the National Science & Technology Pillar Program during the Twelfth Five-year Plan Period (Grant No. 2013BAD01B0703; The Exploitation, Innovation and Utilization of Genus Dendrobium Germplasm Resources).

语种：英文

摘要：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.