State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding and Cultivation of State Forestry Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing 100091, China.
Wenshan Academy of Agriculture Sciences, NO. 2 in Taikang Road (West), Wenshan 663099, China.
Sci Data. 2018 Oct 30;5:180233. doi: 10.1038/sdata.2018.233.
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.
附生兰花，至少包含 18000 个物种，在经常经历周期性干旱胁迫的生境中茁壮生长。然而，对于研究这种特殊种群的抗旱机制，很少有全球基因表达谱数据集被公布。在这项研究中，设计了一个涉及连续干旱处理对附生兰花石斛的影响的实验，生成了 39 个具有超过 20 亿个读数的成熟叶片组织 RNA-seq 测序数据集。通过一系列质量评估，包括 RNA 样本质量、RNA-seq 读取质量和全局基因表达谱，对这些数据集进行了验证。我们相信这些全面的转录组资源将有助于更好地理解兰花附生植物的抗旱机制。
