Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Transcription profiling of Arabidopsis GA-treated wild type and etr1-1 plants to identify genes that are induced directly as a result of the GA treatment

ABSTRACT: This work is part of an existing collaboration between the two laboratories, funded by the EU (EU-RTN-INTEGA). Both parties will share the cost of this microarray experiment. Background: We have demonstrated that ethylene-insensitive mutants and wild type(col-0) Arabidopsis plants treated with an ethylene perception inhibitor have increased levels of expression of genes, such as GASA1 and g-TIP, that are thought to be regulated by GA (Vriezen et al, unpublished results). However, this observation was based on an RNA gel blot analysis and therefore limited to few genes. Aim: To investigate whether plants with decreased ethylene perception are generally hypersensitive to GA or whether this effect is restricted to specific genes. We plan to undertake a complete transcriptome analysis of GA-treated wild type andetr1-1 plants. The aim is to identify genes that are induced directly as a result of the GA treatment, and we will therefore focus on the time window 0-3h. Tissues to be sampled: Plants will be grown in vitroon MS/2 containing 1% sucrose, pH 5.7, at 22 C,70% RH, under white light (54 PAR) and a photoperiod of 16h light/8h dark. Plants will be treated at 14 days and harvested entirely, i.e. roots and shoots are extracted together. Experimental set-up: Col-0 and the ethylene-insensitive mutant etr1-1 will be sprayed with 50 microM GA4 in water. GA4 is the major bio-active GA in Arabidopsis. Samples will be taken after 0, 30 min, 1h, and 3h. In order to correct for touch-induced genes a control, which is sprayed with water only and harvested at 1h, will be included for both genotypes. The total number of chips to be hybridized is 10. The time course with 4 data points is preferred to a single time point with 3 repeats, because it will allow us to follow the induction kinetics and identify early response genes. For each timepoint, RNA will be extracted from at least 40 individuals. Experiment Overall Design: 18 samples

ORGANISM(S): Arabidopsis thaliana

SUBMITTER: Nottingham Arabidopsis Stock Centre (NASC)

PROVIDER: E-GEOD-6150 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Publications

Reciprocal influence of ethylene and gibberellins on response-gene expression in Arabidopsis thaliana.

De Grauwe Liesbeth L Vriezen Wim H WH Bertrand Sophie S Phillips Andy A Vidal Ana M AM Hedden Peter P Van Der Straeten Dominique D

Planta 20070310 2

The complexity of hormonal responses and their functional overlap support the presence of an intensive cross-talk between hormone signalling pathways. A detailed analysis of responses induced by ethylene and gibberellin (GA) in a GA-insensitive mutant (gai), an ethylene-resistant mutant (etr1-3), the gai etr1-3 double-mutant, and in wild-type Arabidopsis thaliana plants, revealed multiple interactions between ethylene and GA signal transduction pathways. Ethylene insensitive mutants and wild-typ ...[more]

PMID: 17351788

Similar Datasets

Project description:Our interest lies in how plants respond to bacterial pathogens. Over the past three years we have identified and documented reproducible, landmark biochemical and molecular events following the challenge of Arabidopsis with the phytopathogenic enterobacteria P. syringae. Significantly, our studies revealed 60% of cDNA-AFLP differentials not present on the 8,200 feature GeneChips and 20% absent from public EST databases (de Torres in press). We now seek to exploit this background using carefully defined time-points to analyse global changes in the Arabidopsis transcriptome using challenges selected to define gene targets implicated in (i) expression of basal immunity (ii) the establishment of successful parasitism (resistance) by a virulent pathogen (host). The results will provide a rationale for future functional assays of the identified pathways using transgenic knockouts and mutant analyses. Additionally, data will provide underpinning support for comparative proteomics of the defense response currently in progress with GARNet support using the same experimental parameters (BBSRC 32/P14635). We propose the following treatments: (i) Mock vs. DC3000hrpA @ 60 min: 60 minutes is subsequent to host immediate-early stress responses and will catalogue the innate responses induced by pathogen associated molecular patterns. The hrpA lesion will ensure no type III effectors influence transcriptional responses. Gene products induced at this time are predicted to potentiate latter host responses (2 treatments X 3 biological replicates = 6 chips). (ii) Mock vs. DC3000 vs. DC3000hrpA vs. DC3000::avrRpm1 @ 4 hours: A key time point previously defined where no macroscopic symptoms are visible but significant differences exist between compatible and incompatible interactions at the molecular and physiological levels. These treatments will serve to define the earliest genes induced by the complement of DC3000 type III effector and will specifically define genes/pathways suppressed by virulence factors in addition to those implicated in orchestration of the hypersensitive cell death. We will also include an incompatible interaction on a transgenic line expressing an RPM1 interacting protein, which fails to mount an HR but exhibits hyper-resistance. We predict this challenge will separate the resistance response (pathogen restriction) from that associated with hypersensitive cell death (5 treatments X 3 biological replicates = 15 chips). (iii) Mock vs. DC3000 vs. DC3000hrpA @ 14 hours: At 10 h before phenotypes are apparent in the DC3000 background, Type III effector delivery is well advanced and impact on host transcription maximal (3 treatments X 3 biological replicates = 9 chips). Experiment Overall Design: Number of plants pooled:4 leaves/plant; 18 plants/time point

Project description:Nitric oxide (NO.) is a well-established signal in mammalian cells regulating e.g. smooth muscle tone, neurotransmission and apoptosis. NO interacts with superoxide (O2-) to derive the highly reactive peroxynitrite (ONOO-) radical leading to the generation of lipid hydroxy-peroxides (ROO.) and cell death. Thus the recent reports implicating of .NO in the Hypersensitive Response (HR) a form of programmed cell death elicited by pathogens in plantsis suggestive of parallel roles in animals and plants. As part of BBSRC funded programmes which are investigating oxidative signaling and cell death in Arabidopsis we have collaborated with the Trace Gas Detection facility at the University of Nijmegen to be the first to measure NO in planta from a developing HR (Mur et al.paper in prep). The challenge remains to understand the spatio-temporal role(s) of .NO during the HR and disease development. In line with other groups e.g. Klessig et al.(2000) PNAS 978849-55 we have observed that .NO mediated event are both SA- dependent and independent. We propose a two-stage programme to investigate NO events which will lead to subsequent BBSRC grant bids. Firstly to exploit the GARNET Affymetrix transcriptomic service to identify genes which are upregulated by .NO (see programme below). These will be compared with similar data generated by other members of the consortium; Dr. Steve Neill for oxidative stress (Desikan et al. (2001). Plant Physiol 127(1): 159-72; Clarke et al.2000 Plant J.; 24:667-77); Dr. Paul Kenton who is mainly interested in signaling by the oxylipid Jasmonic acid (Kentonet al. (1999). MPMI 12(1): 74-78) as well as from other sources. Though these data in themselves will suggest modes of NO action. However as a second approach we will clone the promoter of a strongly NO-responsive gene which will be fused to positive and negative selectable markers as well as reporter genes e.g. LUC. to identify Arabidopsis EMS mutants which are perturbed in NO-mediated events. Programme. Our in planta measurement show that from a baseline production of 1nl.g fwt-1h-1 NO levels rise to 6nl. g fwt-h-1 (_plus/- 1.1 SE) prior to cell death and to 25nl g fwt-h-1 (_plus/- 4.2 SE) at cell death following which the concentration falls. At this juncture we will intend to gas Arabidopsis to ~75ppb (the head-space concentration when NO production was at 6nl. g fwt-h-1). Prior to using the DNA RNA will establish that this does not elicit cell death over the proposed treatment period and that both PR1 (SA-dependent) and PAL1 (SA-independent) genes are induced. We will compare this plant with sealed but non-treated Arabidopsis. Future targets for DNA RNAs analysis induce plant treated with both NO (Sodium Nitro Prusside) and O2- (Xanthine oxidase) generators and depending on their effectiveness (to be assessed by NO measurement) HR lesions treated with Nitric Oxide Synthase inhibitors. Experiment Overall Design: Number of plants pooled:8

Dataset Information

Transcription profiling of Arabidopsis GA-treated wild type and etr1-1 plants to identify genes that are induced directly as a result of the GA treatment

Publications

Reciprocal influence of ethylene and gibberellins on response-gene expression in Arabidopsis thaliana.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure