Proceedings of the National Academy of Sciences · 2011 · 220 citations · 39 references
Life SciencesPlant BiologyPlant SciencesGene ExpressionGene RegulationTranscriptional RegulationCis-regulatory ElementsGene Regulatory ElementsPlant Gene ExpressionPlant Transcriptional RegulationStress Response GenesStress-responsive Gene RegulationAbiotic StressCis-acting Regulatory ElementsGene Expression Under Abiotic StressGene SuperfamiliesPlant SurvivalStress Response ElementsStress-induced TranscriptionStress-responsive Gene Expression
Environmental stress leads to dramatic transcriptional reprogramming, which is central to plant survival. Although substantial knowledge has accumulated on how a few plant cis-regulatory elements (CREs) function in stress regulation, many more CREs remain to be discovered. In addition, the plant stress cis-regulatory code, i.e., how CREs work independently and/or in concert to specify stress-responsive transcription, is mostly unknown. On the basis of gene expression patterns under multiple stresses, we identified a large number of putative CREs (pCREs) in Arabidopsis thaliana with characteristics of authentic cis-elements. Surprisingly, biotic and abiotic responses are mostly mediated by two distinct pCRE superfamilies. In addition, we uncovered cis-regulatory codes specifying how pCRE presence and absence, combinatorial relationships, location, and copy number can be used to predict stress-responsive expression. Expression prediction models based on pCRE combinations perform significantly better than those based on simply pCRE presence and absence, location, and copy number. Furthermore, instead of a few master combinatorial rules for each stress condition, many rules were discovered, and each appears to control only a small subset of stress-responsive genes. Given there are very few documented interactions between plant CREs, the combinatorial rules we have uncovered significantly contribute to a better understanding of the cis-regulatory logic underlying plant stress response and provide prioritized targets for experimentation.
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Making Large-Scale SVM Learning Practical
Thorsten Joachims · Technical reports · 2006 · 4.3K citations · Full text
Plant Productivity and Environment
J. S. Boyer · Science · 1982 · 3.9K citations
Plant cis-acting regulatory DNA elements (PLACE) database: 1999
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