Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

A Local Regulatory Network Around Three NAC Transcription Factors in Stress Responses and Senescence in Arabidopsis leaves (expression between lines at timepoints).

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. Leaf 7 from the anac019 (genotype 9C11) and anac055 (genotype IM4) mutants and their WT controls, Col-5 and Col-0 respectively, was tagged with cotton 18 days after sowing (DAS) and harvested from five randomly selected plants (biological replicates), 8 h into the light period, at 23, 29, 31, 33 and 35 DAS (full senescence). Variance in expression between lines at timepoints was analysed using a local adaptation of the MAANOVA package as previously described (Breeze et al., Plant Cell 2011 Mar;23(3):873-94. PMID: 21447789) using a loop design including dye swaps. Genotype DM (double mutant cross between IM4 and 9C11) was also included in the experiment, and was part of the loop design. Results for DM are included here in so far as they played a role in the ANOVA definition of values, but are not discussed in the paper.

ORGANISM(S): Arabidopsis thaliana

SUBMITTER: Jonathan Moore

PROVIDER: E-GEOD-45183 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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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

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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:Constituting the final growth phase during the lifecycle of maize (Zea Mays L.), leaf senescence plays an important biological role in grain yield in crops. We undertook proteomic and physiological analyses in inbred line Yu816 in order to unravel the underlying mechanisms of leaf senescence induced by preventing pollination. A total of 6,941 proteins were identified by Isobaric tags for Relative and Absolute Quantitation (iTRAQ) analysis. Proteomic analyses between pollinated (POL) and non-pollinated (NONPOL) plants indicated that 973 different proteins accumulated in NONPOL plants. The accumulated proteins were classified into various groups, including response to stimuli, cellular processes, cell death and metabolic processes using functional analysis. Furthermore, in accordance with the changes in these different accumulated proteins, analysis of changes in leaf total soluble sugars and starch content showed that the prevention of pollination can disturb endogenousplant hormone and sugar metabolism and lead to ROS bursts, protein degradation and photosystem breakdown, eventually resulting in leaf senescence. This represents the first attempt at global proteome profiling in response to induced leaf senescence by preventing pollination in maize, and provides a better understanding of the molecular mechanisms involved in induced leaf senescence.Constituting the final growth phase during the lifecycle of maize (Zea Mays L.), leaf senescence plays an important biological role in grain yield in crops. We undertook proteomic and physiological analyses in inbred line Yu816 in order to unravel the underlying mechanisms of leaf senescence induced by preventing pollination. A total of 6,941 proteins were identified by Isobaric tags for Relative and Absolute Quantitation (iTRAQ) analysis. Proteomic analyses between pollinated (POL) and non-pollinated (NONPOL) plants indicated that 973 different proteins accumulated in NONPOL plants. The accumulated proteins were classified into various groups, including response to stimuli, cellular processes, cell death and metabolic processes using functional analysis. Furthermore, in accordance with the changes in these different accumulated proteins, analysis of changes in leaf total soluble sugars and starch content showed that the prevention of pollination can disturb endogenousplant hormone and sugar metabolism and lead to ROS bursts, protein degradation and photosystem breakdown, eventually resulting in leaf senescence. This represents the first attempt at global proteome profiling in response to induced leaf senescence by preventing pollination in maize, and provides a better understanding of the molecular mechanisms involved in induced leaf senescence.

Dataset Information

A Local Regulatory Network Around Three NAC Transcription Factors in Stress Responses and Senescence in Arabidopsis leaves (expression between lines at timepoints).

Publications

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

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