Supplemental Material for He et al., 2020
datasetposted on 09.03.2020 by Cheng He, Yicong Du, Junjie Fu, Erliang Zeng, Sunghun Park, Frank White, Jun Zheng, Sanzhen Liu
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
Time-course gene expression data of maize seedlings under drought were used to identify drought responsive genes, their time-series expression patterns, and which drought stages, namely, early, middle, and late, responses occurred. As compared with later responsive genes, a higher proportion of genes with copy number variation were found in early and middle responsive genes, and their sequence variation is more associated with levels of drought tolerance. With small RNA time-course expression data from the same samples, interactions between genes and small RNAs were investigated to understand transcriptomic regulation upon progressive drought stress.