Project description DEENESFRITPL How plant cell types distinguish friend from foe Plant responses to 'friend or foe' are regulated in different cell types. The EU-funded PlantCellResponse project will therefore use a state-of-the-art in vivo protein proximity labelling technique to investigate responses to beneficial and pathogenic bacteria in the plant model Arabidopsis thaliana. The research fellow will determine plant responses to the bacteria with plant growth-promoting effects (PGPB), the processes or specialised metabolites involved and the regulatory proteins that control them. They will also investigate the response regulation to PGPB and a pathogen in specific root cell types by generating cell type-specific nuclear proteome data. Finally, PlantCellResponse will characterise the role of specific regulatory protein candidates and their target cell type specific through individual gene by gene experiments. Show the project objective Hide the project objective Objective Plants respond to and must distinguish between beneficial and pathogenic bacteria (‘friend and foe’) surrounding them. Bacteria may manipulate the plant’s immune system to allow colonialization or can be resistant to plant defence responses such as the biosynthesis of specialized metabolites. It has been increasingly shown that plant responses occur in a cell type specific manner but single cell research has not yet been extensively explored in plant. Here, I propose to apply a state of the art in vivo protein proximity labelling technique to investigate responses to beneficial and pathogenic bacteria in the Arabidopsis thaliana root including the cell type specific level. The first objective of the proposed research is to determine if and to which extent there are differential plant responses to pathogenic and beneficial bacteria with Plant Growth Promoting effects (PGPB), which processes or specialized metabolites are involved in these responses and which regulatory proteins control these responses. This will be achieved through a multi-omics approach for which I will generate nuclear proteome data through protein proximity labelling, RNA-seq and metabolite data from A. thaliana seedlings exposed to a pathogen versus a PGPB. The second objective of this research will be to investigate the response regulation to a PGPB and a pathogen in specific root cell types by generating cell type specific nuclear proteome data. As the third objective I will determine the role of specific regulatory protein candidates from objectives 1 and 2 and their target cell type specific processes such as specialized metabolism or root development through individual gene by gene experiments. The proposed research will provide new insights into how plant responses to ‘friend or foe’ are regulated in different cell types. The generated datasets will be valuable for the community and provide a starting point for my own future independent research career. Fields of science natural sciencesbiological sciencesbiochemistrybiomoleculesproteinsproteomicsnatural sciencesbiological sciencesmicrobiologybacteriology Keywords Plant sciences Plant-environment interaction pathogens Plant Growth Promoting Bacteria (PGPB) jasmonate specialized metabolism transcriptional regulation transcription factors nuclear proteomi Programme(s) H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions Main Programme H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility Topic(s) MSCA-IF-2020 - Individual Fellowships Call for proposal H2020-MSCA-IF-2020 See other projects for this call Funding Scheme MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF) Coordinator MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV Net EU contribution € 162 806,40 Address HOFGARTENSTRASSE 8 80539 Munchen Germany See on map Region Bayern Oberbayern München, Kreisfreie Stadt Activity type Research Organisations Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Total cost € 162 806,40
