Project description:DCA (3,5-Dichloroanthranilic acid) is a newly identified synthetic defense elicitor. To perform a comparative analysis of defense responses triggered by DCA and the structurally related defense inducer INA (2,6-Dichloroisonicotinic acid) Affymetrix chip experiments were performed with Arabidopsis thaliana seedlings treated with one of these two compounds.
Project description:This study evaluates the transcriptome of Arabidopsis thaliana seedlings growing in the presence of a diversity of synthetic bacteria communities under different phosphate availability.
Project description:This study evaluates the transcriptome of Arabidopsis thaliana seedlings exposed to communities of suppressors (SynCom5-S1) and non-suppressors (SynCom5-NS1) of the plant immune system
Project description:Plants in their natural and agricultural environments are continuously exposed to a plethora of diverse microorganisms resulting in microbial colonization of plants in the rhizosphere. This process is believed to be accompanied by an intricate network of ongoing simultaneous interactions. In this study, we compared transcriptional patterns of Arabidopsis thaliana roots and shoots in the presence and absence of whole microbial communities extracted from compost soil. The results show a clear growth promoting effect of Arabidopsis shoots in the presence of soil microbes compared to axenically grown plants under identical conditions. Element analyses showed that iron uptake was facilitated by these mixed microbial communities which also lead to transcriptional downregulation of genes required for iron transport. In addition, soil microbial communities suppressed the expression of marker genes involved in oxidative stress/redox signalling, cell wall modification and plant defense. While most previous studies have focussed on individual plant-microbe interactions, our data suggest that multi-species transcriptional profiling, using simultaneous plant and metatranscriptomics coupled to metagenomics may be required to further increase our understanding of the intricate networks underlying plant-microbe interactions in their diverse environments.
Project description:DCA (3,5-Dichloroanthranilic acid) is a newly identified synthetic defense elicitor. To perform a comparative analysis of defense responses triggered by DCA and the structurally related defense inducer INA (2,6-Dichloroisonicotinic acid) Affymetrix chip experiments were performed with Arabidopsis thaliana seedlings treated with one of these two compounds. Experiment Overall Design: Arabidopsis thaliana plants (accession Col-0) were grown on soil in a semi-sterile growth chamber under fluorescent lights (14 hours light, 10 hours dark, 21 centi grades, 100 Einstein/m2/s). Wild type Col-0 plants and the npr1-3 mutant were used in this study. Aerial tissues of 2 week old soil grown Arabidopsis seedlings were sprayed with 100uM 3,5-Dichloroanthranilic acid (DCA), or 100uM 2,6-Dichloroisonicotinic acid (INA) or mock solution and harvested 48h or 6 days after the treatment. Final DMSO concentrations never exceeded 0.002%. Mock treatments were application of 0.002% DMSO in water. For harvesting the aerial plant parts were shock-frozen in liquid nitrogen. Total RNA was isolated from seedlings using TRIZOL (Invitrogen) follwing the manufacturerâ??s instructions. RNA was processed and hybridized to Affymetrix Arabidopsis ATH1 genome array GeneChip following manufacturerâ??s instructions (Affymetrix) by the University of California, Riverside Core Instrument Facility. Three independent biological replicates were performed for each treatment.
Project description:The goal of this project is to compare the primary metabolite profile in different tissue types of the model plant Arabidopsis thaliana. Specifically, plants were grown hydroponically under the long-day (16hr light/day) condition at 21C. Tissue samples, including leaves, inflorescences, and roots were harvest 4 1/2 weeks post sowing. Untargeted primary metabolites profiling was carried out using GCTOF.
Project description:Arabidopsis thaliana is a well-established model system for the analysis of the basic physiological and metabolic pathways of plants. The presented model is a new semi-quantitative mathematical model of the metabolism of Arabidopsis thaliana. The Petri net formalism was used to express the complex reaction system in a mathematically unique manner. To verify the model for correctness and consistency concepts of network decomposition and network reduction such as transition invariants, common transition pairs, and invariant transition pairs were applied. Based on recent knowledge from literature, including the Calvin cycle, glycolysis and citric acid cycle, glyoxylate cycle, urea cycle, sucrose synthesis, and the starch metabolism, the core metabolism of Arabidopsis thaliana was formulated. Each reaction (transition) is experimentally proven. The complete Petri net model consists of 134 metabolites, represented by places, and 243 reactions, represented by transitions. Places and transitions are connected via 572 edges.