TY - JOUR
T1 - Arabidopsis defense against Botrytis cinerea
T2 - Chronology and regulation deciphered by high-resolution temporal transcriptomic analysis
AU - Windram, Oliver
AU - Madhou, Priyadharshini
AU - Mchattie, Stuart
AU - Hill, Claire
AU - Hickman, Richard
AU - Cooke, Emma
AU - Jenkins, Dafyd J.
AU - Penfold, Christopher A.
AU - Baxter, Laura
AU - Breeze, Emily
AU - Kiddle, Steven J.
AU - Rhodes, Johanna
AU - Atwell, Susanna
AU - Kliebenstein, Daniel J.
AU - Kim, Youn sung
AU - Stegle, Oliver
AU - Borgwardt, Karsten
AU - Zhang, Cunjin
AU - Tabrett, Alex
AU - Legaie, Roxane
AU - Moore, Jonathan
AU - Finkenstadt, Bärbel
AU - Wild, David L.
AU - Mead, Andrew
AU - Rand, David
AU - Beynon, Jim
AU - Ott, Sascha
AU - Buchanan-Wollaston, Vicky
AU - Denby, Katherine J.
PY - 2012/9
Y1 - 2012/9
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84868288164&partnerID=8YFLogxK
U2 - 10.1105/tpc.112.102046
DO - 10.1105/tpc.112.102046
M3 - Article
C2 - 23023172
AN - SCOPUS:84868288164
SN - 1040-4651
VL - 24
SP - 3530
EP - 3557
JO - The Plant Cell
JF - The Plant Cell
IS - 9
ER -