Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Arabidopsis defense against Botrytis cinerea: chronology and regulation deciphered by high-resolution temporal transcriptomic analysis (time series)

ABSTRACT: A novel experimental design strategy (A Mead et al, in preparation), based on the principle of the M-bM-^@M-^\loop designM-bM-^@M-^], was developed to enable efficient extraction of information about key sample comparisons using a two-colour hybridisation experimental system. With 192 distinct samples (four biological replicates at each of 24 time points in mock and treated conditions) to be compared, the experimental design included 288 two-colour microarray slides, allowing four technical replicates of each sample to be observed. One third of the slides were devoted to assessment of changes in gene expression between time points, using a simple loop design to link samples from time points across the 24 sampled times, directly comparing samples collected on adjacent sampling times (i.e. 2 hrs post-infection with 4 hrs post-infection, 4 hrs post-infection with 6 hrs post-infection, etc.). With the remaining slides, four separate loops were constructed comparing treatments, biological replicates and samplling times. infected vs. mock, 24 time points, randomized loop, 576 Imagene files

ORGANISM(S): Arabidopsis thaliana

SUBMITTER: Jonathan Moore

PROVIDER: E-GEOD-29642 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

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

Windram Oliver O Madhou Priyadharshini P McHattie Stuart S Hill Claire C Hickman Richard R Cooke Emma E Jenkins Dafyd J DJ Penfold Christopher A CA Baxter Laura L Breeze Emily E Kiddle Steven J SJ Rhodes Johanna J Atwell Susanna S Kliebenstein Daniel J DJ Kim Youn-Sung YS Stegle Oliver O Borgwardt Karsten K Zhang Cunjin C Tabrett Alex A Legaie Roxane R Moore Jonathan J Finkenstadt Bärbel B Wild David L DL Mead Andrew A Rand David D Beynon Jim J Ott Sascha S Buchanan-Wollaston Vicky V Denby Katherine J KJ

The Plant cell 20120928 9

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 genom ...[more]

PMID: 23023172

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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.

Project description:Leaf senescence is an essential developmental process that involves altered regulation of thousands of genes and changes in many metabolic and signaling pathways resulting in massive physiological and structural changes in the leaf. The regulation of senescence is complex and although several senescence regulatory genes have been identified and characterized there is little information on how these individual regulators function globally in the control of the process. In this paper we use microarray analysis to obtain a high-resolution time course profile of gene expression during development of a single leaf over a three week period from just before full expansion to senescence. The multiple time points enable the use of highly informative clustering tools to reveal distinct time points at which signaling and metabolic pathways change during senescence. Analysis of motif enrichment in co-regulated gene clusters identifies clear groups of transcription factors active at different stages of leaf development and senescence. A novel experimental design strategy (A Mead et al, in preparation), based on the principle of the “loop design”, was developed to enable efficient extraction of information about key sample comparisons using a two-colour hybridisation experimental system. With 88 distinct samples (four biological replicates at each of 22 time points) to be compared, the experimental design included 176 two-colour microarray slides, allowing four technical replicates of each sample to be observed. Half of the slides were devoted to assessment of changes in gene expression between time points, using a simple loop design to link 11 samples from either the 7h time points or the 14h time points across the 11 sampling days, directly comparing samples collected on adjacent sampling days (i.e. 19 DAS with 21 DAS, 27 DAS with 29 DAS, etc.), and directly comparing the samples collected at 39 DAS with those collected at 19 DAS. Four separate loops were constructed for the 7h time points and for the 14h time points, using the arbitrary biological replicate labelling to identify the samples to be included in each loop. The remaining slides provided assessment of differences between the 7h and 14h samples and between the arbitrarily labelled biological replicates, with some further assessment of changes between sampling days. All direct comparisons (pairs of samples hybridised together on a slide) were between 7h and 14h samples collected on adjacent sampling days (i.e. 19 DAS with 21 DAS, etc.), including comparisons between samples collected at 39 DAS and at 19 DAS, and different arbitrarily labelled biological replicates. These 88 comparisons formed a single loop connecting all 88 treatments, therefore ensuring that the design was fully connected (allowing each sample to be compared with every other sample).

Project description:AtGenExpress: A multinational coordinated effort to uncover the transcriptome of the multicellular model organism Arabidopsis thaliana (Hybridisations done at NASC); The activity of genes and their encoded products can be regulated in several ways, but transcription is the primary level, since all other modes of regulation (RNA splicing, RNA and protein stability, etc.) are dependent on a gene being transcribed in the first place. The importance of transcriptional regulation has been underscored by the recent flood of global expression analyses, which have confirmed that transcriptional co-regulation of genes that act together is the norm, not the exception. Moreover, many studies suggest that evolutionary change is driven in large part by modifications of transcriptional programs. An essential first step toward deciphering the transcriptional code is to determine the expression pattern of all genes. With this goal in mind, an international effort to develop a gene expression atlas of Arabidopsis has been underway since fall 2003. This project, dubbed AtGenExpress, is funded by the DFG, and will provide the Arabidopsis community with access to a large set of Affymetrix microarray data. As part of this collaboration, we have generated expression data from 80 biologicaly different samples in triplicate. Series 2: Base line experiment for pathogen infection. Growth and infection conditions: Seeds will be stratified for 3 days at 4Â°C and sown on soil. Plants are grown at 22Â°C under a 8/16 hour light/dark regime in Percival growth chambers. All pathogen treatments will be performed on leaves of 5-weeks old plants. Bacterial infiltrations will be performed with 10-8 cfu/ml in 10 mM MgCl2. 5x105 spores of Phytophthora infestans in water will be applied to leaf surfaces. LPS (100 Âµg/ml), HrpZ (1 ÂµM), NPP1 (2 ÂµM) or flagellin (1 ÂµM flg22) will be applied in water. Experiments should be performed in triplicate at the time points indicated below. Experimenter name = Dierk Scheel , Frederic Brunner , Lore Westphal; Experimenter institute = AtGenExpress Experiment Overall Design: 18 samples were used in this experiment

Dataset Information

Arabidopsis defense against Botrytis cinerea: chronology and regulation deciphered by high-resolution temporal transcriptomic analysis (time series)

Publications

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

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