Abstract
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.