Project description:Plant reproduction depends on the concerted activation of many genes to assure the correct communication between pollen and pistil. Here we queried the whole transcriptome of Arabidopsis thaliana in order to identify genes with specific reproductive functions. We used the ATH1 whole genome array to profile wild-type unpollinated pistils and unfertilized ovules in comparison with the expression profile of pistils 0.5, 3.5 and 8.0 hours after pollination KEYWORDS: time course
Project description:By knocking out genes encoding specific arogenate dehydrase (ADT) enzymes in Arabidopsis, variable reductions in lignin can be achieved. To understand how ADT composition affects plant phenotypes and biomolecular systems, we successfully constructed single and multiple ADT knockout (KO) mutants in Arabidopsis. Using these mutants, a multi-omics (metabolome, transcriptome and proteome) evaluation was conducted using GC- and LC-MS, RNA-Seq, and iTRAQ labeled LC-MS/MS technologies. Identifications include primary and secondary metabolites, transcripts, and proteins in leaf and stem samples taken at 4 weeks of age from 9 KO and wild-type (WT) lines.
Project description:Leaf development has been monitored chiefly by following anatomical markers. Analysis of transcriptome dynamics during leaf maturation revealed multiple expression patterns that rise or fall with age or that display age specific peaks. These were used to formulate a digital differentiation index (DDI), based on a set of selected markers with informative expression during leaf ontogeny. The leaf-based DDI reliably predicted the developmental state of leaf samples from diverse sources and was independent of mitotic cell division transcripts or propensity of the specific cell type. To calibrate and test the DDI a series of Arabidopsis shoot development was used (Efroni et al, 2008)
