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As challenges to food security increase, the demand for lead genes for improving crop production is growing. However, genetic screens of plant mutants typically yield very low frequencies of desired phenotypes. Here, we present a powerful computational approach for selecting candidate genes for screening insertion mutants. We combined ranking of Arabidopsis thaliana regulatory genes according to their expression in response to multiple abiotic stresses (Multiple Stress [ MST] score), with stress-responsive RNA co-expression network analysis to select candidate multiple stress regulatory ( MSTR) genes. Screening of 62 T- DNA insertion mutants defective in candidate MSTR genes, for abiotic stress germination phenotypes yielded a remarkable hit rate of up to 62%; this gene discovery rate is 48-fold greater than that of other large-scale insertional mutant screens. Moreover, the MST score of these genes could be used to prioritize them for screening. To evaluate the contribution of the co-expression analysis, we screened 64 additional mutant lines of MST-scored genes that did not appear in the RNA co-expression network. The screening of these MST-scored genes yielded a gene discovery rate of 36%, which is much higher than that of classic mutant screens but not as high as when picking candidate genes from the co-expression network. The MSTR co-expression network that we created, Ara STressRegNet is publicly available at . This systems biology-based screening approach combining gene ranking and network analysis could be generally applicable to enhancing identification of genes regulating additional processes in plants and other organisms provided that suitable transcriptome data are available. [ABSTRACT FROM AUTHOR]

Abiotic stresses are a primary cause of crop loss worldwide. The convergence of stress signalling pathways to a common set of transcription factors suggests the existence of upstream regulatory genes that control plant responses to multiple abiotic stresses. To identify such genes, data from published Arabidopsis thaliana abiotic stress microarray analyses were combined with our presented global analysis of early heat stress-responsive gene expression, in a relational database. A set of Multiple Stress ( MST) genes was identified by scoring each gene for the number of abiotic stresses affecting expression of that gene. ErmineJ over-representation analysis of the MST gene set identified significantly enriched gene ontology biological processes for multiple abiotic stresses and regulatory genes, particularly transcription factors. A subset of MST genes including only regulatory genes that were designated ‘ Multiple Stress Regulatory’ ( MSTR) genes, was identified. To validate this strategy for identifying MSTR genes, mutants of the highest-scoring MSTR gene encoding the circadian clock protein CCA1, were tested for altered sensitivity to stress. A double mutant of CCA1 and its structural and functional homolog, LATE ELONGLATED HYPOCOTYL, exhibited greater sensitivity to salt, osmotic and heat stress than wild-type plants. This work provides a reference data set for further study of MSTR genes. [ABSTRACT FROM AUTHOR]

Two genes encoding Arabidopsis (Arabidopsis thaliana) DEAD-box RNA helicases were identified in a functional genomics screen as being down-regulated by multiple abiotic stresses. Mutations in either gene caused increased tolerance to salt, osmotic, and heat stresses, suggesting that the helicases suppress responses to abiotic stress. The genes were therefore designated STRESS RESPONSE SUPPRESSOR1 (STRSTI; At1g31970) and STRS2 (At5g08620). In the strs mutants, salt, osmotic, and cold stresses in- duced enhanced expression of genes encoding the transcriptional activators DREB1A/CBF3 and DREB2A and a downstream DREB target gene, RD29A. Under heat stress, the strs mutants exhibited enhanced expression of the heat shock transcription factor genes, HSF4 and HSF7, and the downstream gene HEAT SHOCK PROTEIN1O1. Germination of mutant seed was hyposensitive to the phytohormone abscisic acid (ABA), but mutants showed up-regulated expression of genes encoding ABA- dependent stress-responsive transcriptional activators and their downstream targets. In wild-type plants, STRSI and STRS2 expression was rapidly down-regulated by salt, osmotic, and heat stress, but not cold stress. STRS expression was also reduced by ABA, but salt stress led to reduced STRS expression in both wild-type and ABA-deficient mutant plants. Taken together, our results suggest that STRS1 and STRS2 attenuate the expression of stress-responsive transcriptional activators and function in ABA-dependent and ABA-independent abiotic stress signaling networks. [ABSTRACT FROM AUTHOR]