Monitoring the Expression Profiles of 7000 Arabidopsis Genes Under Drought, Cold and High-salinity Stresses Using a Full-length CDNA Microarray
Overview
Cell Biology
Molecular Biology
Authors
Affiliations
Full-length cDNAs are essential for functional analysis of plant genes in the post-sequencing era of the Arabidopsis genome. Recently, cDNA microarray analysis has been developed for quantitative analysis of global and simultaneous analysis of expression profiles. We have prepared a full-length cDNA microarray containing approximately 7000 independent, full-length cDNA groups to analyse the expression profiles of genes under drought, cold (low temperature) and high-salinity stress conditions over time. The transcripts of 53, 277 and 194 genes increased after cold, drought and high-salinity treatments, respectively, more than fivefold compared with the control genes. We also identified many highly drought-, cold- or high-salinity- stress-inducible genes. However, we observed strong relationships in the expression of these stress-responsive genes based on Venn diagram analysis, and found 22 stress-inducible genes that responded to all three stresses. Several gene groups showing different expression profiles were identified by analysis of their expression patterns during stress-responsive gene induction. The cold-inducible genes were classified into at least two gene groups from their expression profiles. DREB1A was included in a group whose expression peaked at 2 h after cold treatment. Among the drought, cold or high-salinity stress-inducible genes identified, we found 40 transcription factor genes (corresponding to approximately 11% of all stress-inducible genes identified), suggesting that various transcriptional regulatory mechanisms function in the drought, cold or high-salinity stress signal transduction pathways.
Martinez-Seidel F, Suwanchaikasem P, Gentry-Torfer D, Rajarathinam Y, Ebert A, Erban A Philos Trans R Soc Lond B Biol Sci. 2025; 380(1921):20230384.
PMID: 40045790 PMC: 11883437. DOI: 10.1098/rstb.2023.0384.
Zhang S, Ji Z, Jiao W, Shen C, Qin Y, Huang Y Nat Commun. 2025; 16(1):1420.
PMID: 39915505 PMC: 11802876. DOI: 10.1038/s41467-025-56752-7.
Namuunaa G, Bujin B, Yamagami A, Bolortuya B, Kawabata S, Ogawa H BMC Plant Biol. 2025; 25(1):44.
PMID: 39794690 PMC: 11724609. DOI: 10.1186/s12870-025-06046-3.
Liu X, Wang Y, Tang X, Wang W, Khan A, Pang X Sci Rep. 2024; 14(1):28236.
PMID: 39548243 PMC: 11568302. DOI: 10.1038/s41598-024-79544-3.
Genome-wide computational analysis of the dirigent gene family in Solanum lycopersicum.
Saddique M, Guan G, Hu B, Khan M, Amjad M, Abbas S Proteome Sci. 2024; 22(1):10.
PMID: 39449003 PMC: 11515309. DOI: 10.1186/s12953-024-00233-0.