Cis-regulatory code of stress-responsive transcription in Arabidopsis thaliana

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 str...

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Veröffentlicht in:Proceedings of the National Academy of Sciences - PNAS 2011-09, Vol.108 (36), p.14992-14997
Hauptverfasser: Zou, Cheng, Sun, Kelian, Mackaluso, Joshua D, Seddon, Alexander E, Jin, Rong, Thomashow, Michael F, Shiu, Shin-Han
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container_issue 36
container_start_page 14992
container_title Proceedings of the National Academy of Sciences - PNAS
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creator Zou, Cheng
Sun, Kelian
Mackaluso, Joshua D
Seddon, Alexander E
Jin, Rong
Thomashow, Michael F
Shiu, Shin-Han
description 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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subjects Abiotic stress
Arabidopsis - genetics
Arabidopsis - metabolism
Arabidopsis Proteins - genetics
Arabidopsis Proteins - metabolism
Arabidopsis thaliana
Binding sites
Biological Sciences
Datasets
Environmental stress
Flowers & plants
Gene expression
Genes
Modeling
Mutation
Plant cells
Plant stress
prediction
Prediction models
Predictive modeling
Response Elements - physiology
stress response
Stress, Physiological - physiology
transcription (genetics)
Transcription factors
Transcription Factors - genetics
Transcription Factors - metabolism
Transcription, Genetic - physiology
Up regulation
title Cis-regulatory code of stress-responsive transcription in Arabidopsis thaliana
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