Center for Plant Science Innovation & Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, 68588, USA.
College of Agricultural Sciences, Xichang University, Liangshan, 615000, China.
BMC Res Notes. 2021 Jan 14;14(1):24. doi: 10.1186/s13104-020-05431-5.
The purpose of this data set is to capture the complete diurnal (i.e., daily) transcriptome of fully expanded third leaves from the C4 panacoid grasses sorghum (Sorghum bicolor), maize (Zea mays), and foxtail millet (Setaria italica) with RNA-seq transcriptome profiling. These data are the cornerstone of a larger project that examined the conservation and divergence of gene expression networks within these crop plants. This data set focuses on temporal changes in gene expression to identify the network architecture responsible for daily regulation of plant growth and metabolic activities. The power of this data set is fine temporal resolution combined with continuous sampling over multiple days.
The data set is 72 individual RNA-seq samples representing 24 time course samples each for sorghum, maize, and foxtail millet plants cultivated in a growth chamber under equal intervals of light and darkness. The 24 samples are separated by 3-h intervals so that the data set is a fine scale 72-h analysis of gene expression in the leaves of each plant type. FASTQ files from Illumina sequencing are available at the National Center for Biotechnology Information Sequence Read Archive.
本数据集的目的是通过 RNA-seq 转录组分析，捕获完全展开的 C4 类 Panicoideae 禾本科植物高粱（Sorghum bicolor）、玉米（Zea mays）和谷子（Setaria italica）的第三片完整昼（即每日）转录组。这些数据是一个更大项目的基础，该项目研究了这些作物植物中基因表达网络的保守性和分歧。本数据集重点研究基因表达的时间变化，以确定负责植物生长和代谢活动日常调节的网络架构。该数据集的优势在于具有精细的时间分辨率，并可在多个连续日进行连续采样。
本数据集由 72 个个体 RNA-seq 样本组成，每个样本分别代表高粱、玉米和谷子植物在生长室中以相等的光照和黑暗间隔下培养的 24 个时间过程样本。这 24 个样本以 3 小时的间隔分开，因此该数据集是对每种植物类型叶片中基因表达的精细 72 小时分析。Illumina 测序的 FASTQ 文件可在国家生物技术信息中心序列读取档案中获得。
