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Plant Physiology Preview Published on October 1, 2008; 10.1104/pp.108.128488
OPEN ACCESS ARTICLE
Received August 28, 2008 Arabidopsis transcriptome reveals control circuits regulating redox homeostasis and the role of an AP2 transcription factor
Department of Biology, Washington University in St. Louis, One Brookings Drive, Campus Box 1137, St. Louis, MO 63130l; Department of Mathematics and Statistics, Texas Tech University, Lubbock, TX 79409 * Corresponding author; email: rsq{at}wustl.edu.
Sensors and regulatory circuits that maintain redox homeostasis play a central role in adjusting plant metabolism and development to changing environmental conditions. We report here control networks in Arabidopsis that respond to photosynthetic (PS) stress. We independently subjected Arabidopsis leaves to two commonly used PSII inhibitors; high light (HL) and 3-(3,4-dichlorophenyl)-1,1-dimethylurea (DCMU). Microarray analysis of expression patterns during the period of redox adjustment to these inhibitors reveals that 20% and 8% of the transcriptome are under HL and DCMU regulation, respectively. Approximately 6% comprise a subset of genes common to both perturbations, the redox responsive genes (RRGs). A redox network was generated in an attempt to identify genes whose expression is tightly coordinated during adjustment to homeostasis, using expression of these RRGs under HL conditions. Ten sub-networks were identified from the network. Hierarchal sub-clustering of sub-networks responding to the DCMU stress identified novel groups of genes that were tightly controlled while adjusting to homeostasis. Upstream analysis of the promoters of the genes in these clusters revealed different motifs for each sub-network, including motifs that were previously identified with responses to other stresses such as light, dehydration or ABA. Functional categorization of RRGs demonstrated involvement of genes in many metabolic pathways, including several families of transcription factors, especially those in the AP2 family. Using a T-DNA insertion in one AP2 transcription factor (RRTF1) from the RRGs, we showed that the genes predicted to be within the sub-network containing RRTF1 were changed in this insertion line (
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