Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

A Local Regulatory Network Around Three NAC Transcription Factors in Stress Responses and Senescence in Arabidopsis leaves (Dark Induced Senescence).

ABSTRACT: A network model has been generated that describes the immediate gene expression cascade surrounding three similar but distinct NAC transcription factors that have roles to play in leaf senescence and in many stress responses in Arabidopsis. ANAC019, ANAC055 and ANAC072 belong to the same clade of NAC domain genes and have overlapping expression patterns. A combination of promoter DNA/protein interactions identified using yeast 1 hybrid analysis and modeling using gene expression time course data has been used to predict the regulatory network upstream of these genes. Similarities and divergence in regulation during a variety of stress responses are predicted by different combinations of upstream transcription factors binding and also by the modeling. Mutant analysis with potential upstream genes was used to test and confirm some of the predicted interactions.. Gene expression measurements in mutants of ANAC019 and ANAC055 at different times during leaf senescence have shown a distinctly different role for each of these genes. To assess mutant response to Dark Induced Senescence (DIS), leaf5 from transplanted rosettes, subjected to dark conditions, from Col-0, myb2 (genotype IM24) and myb108 (genotype BOS1) knockout plants, were photographically assessed for red/green ratio. When the average ratio for Col-0 samples was >0.8, leaf 5 for Col-0, myb2 and myb108 lines was harvested (4 biological replicates). The same sampling procedure was then performed on consecutive days to sample as senescence progressed. Analysis of expression differences between Col-0 and myb2 and Col-0 and myb108 under each condition, using dye swaps, was performed using the R Bioconductor package limmaGUI (Wettenhall and Smyth, 2004).

ORGANISM(S): Arabidopsis thaliana

SUBMITTER: Jonathan Moore

PROVIDER: E-GEOD-45595 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Publications

A local regulatory network around three NAC transcription factors in stress responses and senescence in Arabidopsis leaves.

Hickman Richard R Hill Claire C Penfold Christopher A CA Breeze Emily E Bowden Laura L Moore Jonathan D JD Zhang Peijun P Jackson Alison A Cooke Emma E Bewicke-Copley Findlay F Mead Andrew A Beynon Jim J Wild David L DL Denby Katherine J KJ Ott Sascha S Buchanan-Wollaston Vicky V

The Plant journal : for cell and molecular biology 20130511 1

A model is presented describing the gene regulatory network surrounding three similar NAC transcription factors that have roles in Arabidopsis leaf senescence and stress responses. ANAC019, ANAC055 and ANAC072 belong to the same clade of NAC domain genes and have overlapping expression patterns. A combination of promoter DNA/protein interactions identified using yeast 1-hybrid analysis and modelling using gene expression time course data has been applied to predict the regulatory network upstrea ...[more]

PMID: 23578292

Similar Datasets

Project 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 have generated a high-resolution time series of gene expression profiles from a single Arabidopsis leaf during infection by the necrotrophic fungal pathogen, Botrytis cinerea. Approximately one-third of the Arabidopsis genome is differentially expressed during the first 48 hours after infection, with the majority of gene expression changes occurring before significant lesion development. We have 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 novel role for TGA3 in defense against necrotrophic pathogens. These data provide an unprecedented level of detail about transcriptional change during a defense response and are suited to systems biology analyses to generate predictive models of the gene regulatory networks underlying the Arabidopsis response to B. cinerea. Samples were compared at three time points: 16, 24 and 32 hours post infection. Time points were chosen based on the expression profile of TGA3 in the high-resolution time series also presented in this paper. Samples were collected for three different conditions: tga3-2 mock inoculated, tga3-2 infected and Col-0 infected. Four individual leaves (biological replicates) from separate plants were collected for each treatment-time point totalling 36 samples. The four biological replicates for each treatment-time point were pooled. At each time point, the expression of the 4 pooled replicates was compared between tga3-2 mock inoculated vs. tga3-2 infected and tga3-2 infected vs. Col-0 infected using four technical replicates for each comparison which included balanced dye swaps.

Dataset Information

A Local Regulatory Network Around Three NAC Transcription Factors in Stress Responses and Senescence in Arabidopsis leaves (Dark Induced Senescence).

Publications

A local regulatory network around three NAC transcription factors in stress responses and senescence in Arabidopsis leaves.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure