<i>Arabidopsis</i> Defense against <i>Botrytis cinerea</i>: Chronology and Regulation Deciphered by High-Resolution Temporal Transcriptomic Analysis
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- Oliver Windram
- School of Life Sciences, University of Warwick, Coventry CV4 7AL, United Kingdom
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- Priyadharshini Madhou
- School of Life Sciences, University of Warwick, Coventry CV4 7AL, United Kingdom
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- Stuart McHattie
- Warwick Systems Biology Centre, University of Warwick, Coventry CV4 7AL, United Kingdom
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- Claire Hill
- School of Life Sciences, University of Warwick, Coventry CV4 7AL, United Kingdom
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- Richard Hickman
- Warwick Systems Biology Centre, University of Warwick, Coventry CV4 7AL, United Kingdom
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- Emma Cooke
- Molecular Organization and Assembly of Cells Doctoral Training Centre, University of Warwick, Coventry CV4 7AL, United Kingdom
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- Dafyd J. Jenkins
- Warwick Systems Biology Centre, University of Warwick, Coventry CV4 7AL, United Kingdom
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- Christopher A. Penfold
- Warwick Systems Biology Centre, University of Warwick, Coventry CV4 7AL, United Kingdom
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- Laura Baxter
- Warwick Systems Biology Centre, University of Warwick, Coventry CV4 7AL, United Kingdom
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- Emily Breeze
- School of Life Sciences, University of Warwick, Coventry CV4 7AL, United Kingdom
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- Steven J. Kiddle
- Warwick Systems Biology Centre, University of Warwick, Coventry CV4 7AL, United Kingdom
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- Johanna Rhodes
- School of Life Sciences, University of Warwick, Coventry CV4 7AL, United Kingdom
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- Susanna Atwell
- Department of Plant Sciences, University of California, Davis, California 95616
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- Daniel J. Kliebenstein
- Department of Plant Sciences, University of California, Davis, California 95616
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- Youn-sung Kim
- School of Life Sciences, University of Warwick, Coventry CV4 7AL, United Kingdom
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- Oliver Stegle
- Max Planck Institute for Developmental Biology and Max Planck Institute for Intelligent Systems, 72076 Tuebingen, Germany
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- Karsten Borgwardt
- Max Planck Institute for Developmental Biology and Max Planck Institute for Intelligent Systems, 72076 Tuebingen, Germany
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- Cunjin Zhang
- School of Life Sciences, University of Warwick, Coventry CV4 7AL, United Kingdom
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- Alex Tabrett
- School of Life Sciences, University of Warwick, Coventry CV4 7AL, United Kingdom
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- Roxane Legaie
- Warwick Systems Biology Centre, University of Warwick, Coventry CV4 7AL, United Kingdom
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- Jonathan Moore
- Warwick Systems Biology Centre, University of Warwick, Coventry CV4 7AL, United Kingdom
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- Bärbel Finkenstadt
- Department of Statistics, University of Warwick, Coventry CV4 7AL, United Kingdom
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- David L. Wild
- Warwick Systems Biology Centre, University of Warwick, Coventry CV4 7AL, United Kingdom
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- Andrew Mead
- School of Life Sciences, University of Warwick, Coventry CV4 7AL, United Kingdom
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- David Rand
- Warwick Systems Biology Centre, University of Warwick, Coventry CV4 7AL, United Kingdom
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- Jim Beynon
- School of Life Sciences, University of Warwick, Coventry CV4 7AL, United Kingdom
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- Sascha Ott
- Warwick Systems Biology Centre, University of Warwick, Coventry CV4 7AL, United Kingdom
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- Vicky Buchanan-Wollaston
- School of Life Sciences, University of Warwick, Coventry CV4 7AL, United Kingdom
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- Katherine J. Denby
- School of Life Sciences, University of Warwick, Coventry CV4 7AL, United Kingdom
Abstract
<jats:title>Abstract</jats:title> <jats:p>Transcriptional reprogramming forms a major part of a plant's response to pathogen infection. Many individual components and pathways operating during plant defense have been identified, but our knowledge of how these different components interact is still rudimentary. We generated a high-resolution time series of gene expression profiles from a single Arabidopsis thaliana leaf during infection by the necrotrophic fungal pathogen Botrytis cinerea. Approximately one-third of the Arabidopsis genome is differentially expressed during the first 48 h after infection, with the majority of changes in gene expression occurring before significant lesion development. We used computational tools to obtain a detailed chronology of the defense response against B. cinerea, highlighting the times at which signaling and metabolic processes change, and identify transcription factor families operating at different times after infection. Motif enrichment and network inference predicted regulatory interactions, and testing of one such prediction identified a role for TGA3 in defense against necrotrophic pathogens. These data provide an unprecedented level of detail about transcriptional changes during a defense response and are suited to systems biology analyses to generate predictive models of the gene regulatory networks mediating the Arabidopsis response to B. cinerea.</jats:p>
Journal
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- The Plant Cell
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The Plant Cell 24 (9), 3530-3557, 2012-09-01
Oxford University Press (OUP)
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Details 詳細情報について
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- CRID
- 1360857597063668480
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- ISSN
- 1532298X
- 10404651
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- Data Source
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- Crossref