详细信息
RNA-seq transcriptomic profiling of crassulacean acid metabolism pathway in Dendrobium catenatum ( SCI-EXPANDED收录) 被引量:18
文献类型:期刊文献
英文题名:RNA-seq transcriptomic profiling of crassulacean acid metabolism pathway in Dendrobium catenatum
作者:Zou, Long-Hai[1,2,3] Wan, Xiao[1,2,3] Deng, Hua[4] Zheng, Bao-Qiang[1,2,3] Li, Bai-Jun[1,2,3] Wang, Yan[1,2,3]
第一作者:Zou, Long-Hai
通信作者:Wang, Y[1];Wang, Y[2];Wang, Y[3]
机构:[1]Chinese Acad Forestry, Key Lab Tree Breeding & Cultivat State Forestry A, Beijing 100091, Peoples R China;[2]Chinese Acad Forestry, State Key Lab Tree Genet & Breeding, Beijing 100091, Peoples R China;[3]Chinese Acad Forestry, Res Inst Forestry, Beijing 100091, Peoples R China;[4]Chinese Acad Forestry, Res Inst Forestry Policy & Informat, Beijing 100091, 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:000449924200001)】;
基金:This work was funded by the Basic Research Fund of RIF (RIF2014-05) and 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:The regulation of crassulacean acid metabolism (CAM) pathway has recently become a topic of intensive research and has been explored in terms of several aspects, including phylogenetics, genomics, and transcriptomics. Orchidaceae, which contains approximately 9,000 CAM species, is one of the largest lineages using this special photosynthetic pathway. However, no comprehensive transcriptomic profiling focused on CAM regulation in orchid species had previously been performed. In this report, we present two Illumina RNA-seq datasets, including a total of 24 mature leaf samples with 844.4 million reads, from Dendrobium catenatum (Orchidaceae), a facultative CAM species. The first dataset was generated from a time-course experiment based on the typical CAM phases in a diel. The second was derived from an experiment on drought stress and stress removal. A series of quality assessments were conducted to verify the reliability of the datasets. These transcriptomic profiling datasets will be useful to explore and understand the essence of CAM regulation.
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