ABSTRACT: Illumina data from equal mixing of leaves, seedling, stems, roots, inflorescences in late developmental stages and inflorescences in late developmental stages of Aquilegia oxysepala var. kansuensis
Project description:The current experiment was designed to obtain a broad characterization of the genetic pathways acting in early Aquilegia coerulea floral meristem development. We conducted an in-depth transcriptome profiling of early floral development in A. coerulea at four finely dissected developmental stages, with eight biological replicates per stage. . The developmental window we sequenced sampled stages that started with a late phase of stamen initiation, covered the period of FM termination, and ended with the initial stage of morphogenesis of the floral organs.
Project description:Identifying the intracellular and cell wall-ionically bound glycoside hydrolases (GHs) carbohydrate esterases (CEs) at the late growth stage of Arabidopsis stems is important for understanding the mechanisms regulating the cell wall integrity. The fact that whole plant stems are used as biomass feedstocks and the mixing of intracellular proteins with the cell wall proteome caused by an increasing proportion of broken cells of stems at the late growth stage pose a challenge in identifying these GHs and CEs. Here, we used a CaCl2-extraction procedure to isolate non-structural proteins from Arabidopsis whole stems, followed by protein solution method for direct identification of stem proteins, and by SDS-PAGE separation and protein gel band method for improving the identification of stem proteins, using Nano-LC-MS/MS analysis. Totally, 75 and 236 stem proteins were identified by using these two methods, respectively, confirming the later method (i.e. protein gel method) identified three time more stem proteins. Among these proteins, based on cell wall protein databases and data mining analyses, 6 and 22 proteins were identified as cell wall proteins from the late growth stage Arabidopsis stems, by using these two methods respectively.
Project description:Identifying the intracellular and cell wall-ionically bound glycoside hydrolases (GHs) carbohydrate esterases (CEs) at the late growth stage of Arabidopsis stems is important for understanding the mechanisms regulating the cell wall integrity. The fact that whole plant stems are used as biomass feedstocks and the mixing of intracellular proteins with the cell wall proteome caused by an increasing proportion of broken cells of stems at the late growth stage pose a challenge in identifying these GHs and CEs. Here, we used a CaCl2-extraction procedure to isolate non-structural proteins from Arabidopsis whole stems, followed by protein solution method for direct identification of stem proteins, and by SDS-PAGE separation and protein gel band method for improving the identification of stem proteins, using Nano-LC-MS/MS analysis. Totally, 75 and 236 stem proteins were identified by using these two methods, respectively, confirming the later method (i.e. protein gel method) identified three time more stem proteins. Among these proteins, based on cell wall protein databases and data mining analyses, 6 and 22 proteins were identified as cell wall proteins from the late growth stage Arabidopsis stems, by using these two methods respectively.
Project description:To obtain detailed information about gene expression during stamen development in Arabidopsis thaliana, we compared, by microarray analysis, the gene expression profile of wild-type inflorescences to those of the floral mutants apetala3, sporocyteless/nozzle, and male sterile 1, in which different aspects of stamen formation are disrupted. These experiments led to the identification of groups of genes with predicted expression at early, intermediate and late stages of stamen development. Additional experiments aimed at characterizing gene expression specifically during microspore formation. To this end, we compared the gene expression profiles of wild-type flowers of distinct developmental stages to those of the male sterile 1 mutant. Computational analysis of the datasets derived from this experiment led to the identification of genes that are likely involved in the control of key developmental processes during microsporogenesis. Keywords: mutant comparison, developmental series
