72-h diurnal RNA-seq analysis of fully expanded third leaves from maize, sorghum, and foxtail millet at 3-h resolution

Authors

Xianjun Lai, University of Nebraska - Lincoln & Xichang University
Claire Bendix, University of California Berkeley & Plant Gene Expression Center, USDA-ARS
Yan Zhang, University of Nebraska-LincolnFollow
James Schnable, University of Nebraska-LincolnFollow
Frank G. Harmon, University of California Berkeley & Plant Gene Expression Center, USDA-ARSFollow

Date of this Version

2021

Citation

Lai et al. BMC Res Notes (2021) 14:24 https://doi.org/10.1186/s13104-020-05431-5

Comments

The Author(s) 2021.

Abstract

Objectives: 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 tem- poral 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.

Data description: The data set is 72 individual RNA-seq samples representing 24 time course samples each for sor- ghum, 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.