Project description:Purpose: The goals of this study are to analyze the transcriptome of Arabidopsis thaliana treated after flg22 and to find changes of glucosinolate metabolism genes after treatment. Methods: Total mRNA of 10 day wild-type Arabidopsis seedlings that were treated with and without flg22( final concentrations 1μmol/L) in 1/2 MS medium for 4h, were extracted respectively. Each sample was harvested in three independent biological replicates with equal weight and mixed ,subsequently sequencing. The sequence reads that passed quality filters were mapped to the Arabidopsis_thaliana genome (TAIR10.18).Then the mapping genes were used for the abundance and functional analysis. Results: We mapped about 45 million and 52 million sequence reads of control sample and treatment sample to the Arabidopsis_thaliana genome (TAIR10.18) and identified total 23,413 genes with Botiw/TopHat workflow. Comparison of the two samples showed 1,200 differentially expressed genes (DEGs), including 290 down-regulated and 910 up-regulated genes. The DEGs were associated with energy metabolism, amino acid metabolism and biosynthesis of secondary metabolites. After flg22 treatment, genes involved in indolic glucosinolate biosynthesis pathway were up-regulated significantly,which is further demonstrated by Real Time RT-PCR, while aliphatic glucosinolate pathway almost had no change, indicating the important role of indolic glucosinolates in plant defense responses. Conclusion: Our study provides the overall genetic resource of Arabidopsis_thaliana after treated by flg22 to date. These data will pave the way for further studies about deeply understand pathogen induced defense and the contribution of indolic glucosinolates.
Project description:We used RNA-seq to profile gene expression changes during flg22 activated pattern-triggered immunity in multiple Brassicaceae including Capsella rubella, Cardamine hirsuta and Eutrema salsugineum as well as in multiple Arabidopsis thaliana accessions. This allows comparative transcriptomics within and across species to investigate the evolution of stress-responsive transcrption changes in these species.
Project description:This study evaluates the transcriptome of Arabidopsis thaliana seedlings exposed to the MAMP flg22 in the presence of 35 different bacteria
Project description:This study evaluates the transcriptome of Arabidopsis thaliana roots exposed to the MAMP flg22 in the presence of a 35-member bacterial SynCom
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:in our previous work we studied the molecular networks cotrolling their metabolism in Arabidopsis thaliana on the level of soluble proteome and metebolome using myb28/29 and cyp79B2/B3 as mutants for aliphilic and indollic glucosinolates production respectively.we go deeper to study the changes on the level of membrane and membrane associated proteins in both mutants.
Project description:While pathogen-induced immunity is comparatively well characterized, far less is known about plant defense responses to arthropod herbivores. To date, most molecular-genetic studies of plant-arthropod interactions have focused on insects. However, plant-feeding (phytophagous) mites are also pests of diverse plants, and mites induce different patterns of damage to plant tissues than do well-studied insects (e.g., Lepidopteran larvae or aphids). The two-spotted spider mite, Tetranychus urticae, is among the most significant mite pests in agriculture. T. urticae is an extreme generalist that has been documented on a staggering number of plant hosts (more than 1,100), and is renowned for the rapid evolution of pesticide resistance. To understand reciprocal interactions between T. urticae and a plant host at the molecular level, we examined mite herbivory using Arabidopsis thaliana. Despite differences in feeding guilds, we found that transcriptional responses of A. thaliana to mite herbivory generally resembled those observed for insect herbivores. In particular, defense to mites was mediated by jasmonic acid (JA) biosynthesis and signaling. Further, indole glucosinolates dramatically increased mite mortality and development times. Variation in both basal and activated levels of these defense pathways might also explain differences in mite damage and feeding success between A. thaliana accessions. On the herbivore side, a diverse set of genes associated with detoxification of xenobiotics was induced upon exposure to increasing levels of in planta indole glucosinolates. Our findings provide molecular insights into the nature of, and response to, herbivory for a representative of a major class of arthropod herbivores. We used microarray to assess global gene expresion in Arabidopsis thaliana upon Tetranychus urticae attack in two A. thaliana accessions: Bla-2, resistant to spider mite herbivory and Kon, susceptible to spider mite herbivory.