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.
Project description:We performed transcriptome analysis using an Agilent Arabidopsis ver.3 44k Microarray (Palo Alto, CA, USA) to profile effect of NMN treatment in uninoculated leaves and inoculated leaves with F. graminearum.
Project description:In-vivo induced establishment and activity of the interfascicular cambium in Arabidopsis thaliana stems under NPA treatments. We used microarrays to detail the global programme of gene expression underlying the establishment and activity of the interfascicular cambium.
Project description:tri38-lar - hr - Analyse the transcriptome of Arabidopsis thaliana plants developing localized acquired resistance (LAR) and a hypersensitive response (HR). The goal is to identify genes inducing LAR and/or HR. Here, we want to analyse the transcriptome of Arabidopsis thaliana developing HR. To achieve this, we used Col0 leaf tissues developing an HR reaction after inoculation of the avirulent strain of PstDC3000 carrying the gene avrRpm1. Keywords: normal vs disease comparison
