CORDIS provides links to public deliverables and publications of HORIZON projects.
Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .
Deliverables
My project will identify and characterize transcription regulators involved in primary cell wall metabolism and molecular components regulating SA production. Multiple methods will be used in this project. (Phospho)proteomics and transcriptomics data will be analyzed to generate a list of SA signal transduction candidate genes and transcription regulators crucial in response to ISX. Around 20-40 T-DNA insertion lines for candidate genes will be ordered from the NASC stock center. Phenotypic characterization of the insertion lines will be performed to identify candidates where the loss of function affects SA production and cell wall metabolism changes induced by CWI impairment in Arabidopsis seedlings. Maximal four candidates that are exhibiting the most substantial (loss of function) phenotypes will be selected for follow-up studies. Functional characterizations of candidates will be performed, including localization, expression/co-immunoprecipitation studies, and characterization of mutant phenotypes. In addition, identifying those Arabidopsis candidates affect performance-relevant stress traits homologs in commercially relevant food and bioenergy crops. The experiments planned here will generate different types of data. The data generated from this project will be in the form of: (1) Digital images, (confocal laser scanning microscopy (CLSM) and widefield microscope), and photographs showing phenotypes of transgenic plants. Confocal data will be stored as files containing all the raw spatial/quantitative information needed for any subsequent analysis. Processed data displays will be compiled in summary presentations. (2) Results from phenotypic analyses of all samples will be generated. These data will be compiled in an openly accessible format, and raw data will be stored on a data repository server maintained by NTNU. (3) qRT-PCR data generated with the available qRT-PCR systems will be stored in Excel file format. (4) Data generated in proteomics/transcriptomics experiments will be stored both in original raw file formats and in standardized lists in excel format. (5) Data from the research will be detailed in publications, with the use of web-based supplementary data displays where possible, and the available access to our data repository. All manuscripts will be published in open access format to facilitate accessibility. Any novel data regarding the functions of the genes characterized will be deposited in the Arabidopsis database. IP issues will be pursued as required in order to safeguard public access to any tools developed during this project. This will be done in consultation with the NTNU Spin out consultants. To reach the non-academic community, I will use internet-based tools such as a Blog, Twitter, and a project website to share significant progress in my project.
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