College of Agronomy, Shihezi University, Shihezi, 830032, China.
Key Laboratory of Oasis Eco-agriculture of Xinjiang Production and Construction Corps, Shihezi, 832003, China.
Sci Data. 2019 Oct 9;6(1):197. doi: 10.1038/s41597-019-0210-7.
Gossypium hirsutum, a cotton species widely cultivated around the world, is a typical cold-sensitive crop. Low-temperature (LT) stress is one of the main environmental stressors that can affect growth and the quality of cotton fibers. LT is also a major challenge for cotton survival, growth maturity and geographical distribution. However, few genome-wide transcriptional response and profiling datasets are available to explore the LT-tolerant mechanism of cotton. This study treated G. hirsutum with four LT gradients (control at 25 °C and cold temperatures at 4 °C, 10 °C and 15 °C) for 24 hour to generate 12 RNA-Seq datasets (three biological replicates per treatment) with approximately 280 million clean reads per dataset. The quality of the datasets obtained in the current study was validated through a series of quality checks including verification of RNA sample quality and RNA-Seq read quality. Data analyses included novel gene discovery, global gene expression profiling and quantitative real-time PCR. This is the first study to report genome-wide transcriptomic datasets for cotton in response to LT exposure.
陆地棉（Gossypium hirsutum），一种广泛种植于世界各地的棉花品种，是一种典型的冷敏感作物。低温（LT）胁迫是影响棉花生长和纤维品质的主要环境胁迫因素之一。低温也是棉花生存、生长成熟和地理分布的主要挑战。然而，目前可用的全基因组转录组响应和分析数据集很少，无法探索棉花对低温的耐受机制。本研究采用四种 LT 梯度（对照 25°C，冷处理 4°C、10°C 和 15°C）处理陆地棉 24 小时，生成了 12 个 RNA-Seq 数据集（每个处理 3 个生物学重复），每个数据集约有 2.8 亿个清洁读段。通过一系列质量检查，包括验证 RNA 样品质量和 RNA-Seq 读段质量，对本研究中获得的数据集的质量进行了验证。数据分析包括新基因的发现、全基因表达谱分析和定量实时 PCR。这是首次报道棉花对 LT 暴露的全基因组转录组数据集。
