Arabidopsis defence against Botrytis cinerea: chronology and regulation deciphered by high-resolution temporal transcriptomic analysis

TY - JOUR

T1 - Arabidopsis defence against Botrytis cinerea

T2 - chronology and regulation deciphered by high-resolution temporal transcriptomic analysis

AU - Windram, Oliver P F

AU - Madhou, Priyadharshini

AU - McHattie, Stuart

AU - Hill, Claire

AU - Hickman, Richard

AU - Cooke, Emma

AU - Jenkins, Dafyd

AU - Penfold, Chris

AU - Baxter, Laura

AU - Breeze, Emily

AU - Kiddle, Steven

AU - Rhodes, Johanna

AU - Atwell, Suanna

AU - Klebenstein, Daniel

AU - Kim, Youn-sung

AU - Stegle, Oliver

AU - Borgwardt, Karsten

AU - Zhang, Cunjin

AU - Tabrett, Alex

AU - Legaie, Roxane

AU - Moore, Jonathon

AU - Finkenstadt, Barbel

AU - Wild, David

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.

U2 - 10.1105/tpc.112.102046

DO - 10.1105/tpc.112.102046

M3 - Article

SN - 1040-4651

VL - 24

SP - 3530

EP - 3557

JO - Plant Cell

JF - Plant Cell

IS - 9

M1 - N/A

ER -