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          Institute: MPI für Entwicklungsbiologie     Collection: Abteilung 6 - Molecular Biology (D. Weigel)     Display Documents



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ID: 636029.0, MPI für Entwicklungsbiologie / Abteilung 6 - Molecular Biology (D. Weigel)
Arabidopsis defense against Botrytis cinerea: chronology and regulation deciphered by high-resolution temporal transcriptomic analysis
Authors:Windram, O.; Madhou, P.; McHattie, S.; Hill, C.; Hickman, R.; Cooke, E.; Jenkins, D. J.; Penfold, C. A.; Baxter, L.; Breeze, E.; Kiddle, S. J.; Rhodes, J.; Atwell, S.; Kliebenstein, D. J.; Kim, Y. S.; Stegle, O.; Borgwardt, K.; Zhang, C.; Tabrett, A.; Legaie, R.; Moore, J.; Finkenstadt, B.; Wild, D. L.; Mead, A.; Rand, D.; Beynon, J.; Ott, S.; Buchanan-Wollaston, V.; Denby, K. J.
Date of Publication (YYYY-MM-DD):2012-09
Title of Journal:Plant Cell
Volume:24
Issue / Number:9
Start Page:3530
End Page:3557
Review Status:not specified
Audience:Not Specified
Abstract / Description: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.
External Publication Status:published
Document Type:Article
Affiliations:MPI für Entwicklungsbiologie/Abteilung 6 - Molekulare Biologie (Detlef Weigel)
External Affiliations:%G eng
Identifiers:ISSN:1532-298X (Electronic) 1040-4651 (Linking) %R 10.1... [ID No:1]
URL:http://www.ncbi.nlm.nih.gov/pubmed/23023172 [ID No:2]
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