Poster
Athira Menon
DPhil Student
Univ of Oxford
Oxford, England, United Kingdom
Marcel Bach-Pages
University of Oxford
Oxford, England, United Kingdom
Felix Homma
University of Oxford
Oxford, England, United Kingdom
Honglin Chen
Post-doctoral researcher
MRC-University of Glasgow Centre for Virus Research
Glasgow, Scotland, United Kingdom
Brett Wadley
DPhil student
University of Oxford
Oxford, England, United Kingdom
Farnusch Kaschani
University of Duisburg-Essen
Essen, Nordrhein-Westfalen, Germany
Markus Kaiser
University of Duisburg-Essen
Essen, Nordrhein-Westfalen, Germany
Alfredo Castello
Professor in Systems Virology
MRC-University of Glasgow Centre for Virus Research
Glasgow, Scotland, United Kingdom
Renier A. L. van der Hoorn
University of Oxford
Oxford, England, United Kingdom
Gail M. Preston (she/her/hers)
University of Oxford
Oxford, England, United Kingdom
RNA binding proteins (RBPs) are proteins that interact with RNA, modulate gene expression, and play a role in the growth, development, and defence responses of plants. Pathogens use multiple strategies to evade the plant’s immune system and establish infection including the use of effectors and other small molecules. Upon infection, the RBP landscape gets remodelled which results in the modulation of plant immunity. In this work, a technique known as plant RNA Interactome Capture (ptRIC) was used to identify Arabidopsis thaliana leaf RBPs that are differentially binding RNA during Pseudomonas syringae pv. tomato DC3000 (PsPto) infection. Infection assays were used to determine the immune phenotype of the A. thaliana mutants of the differential RBPs. The AI protein structure prediction tool Alphafold Multimer was used to predict if PsPto effectors were directly interacting with RBPs to alter their RNA binding activity. The characterisation of RBPs involved in plant immunity would help develop crops in the future that are more resistant to pathogens by exploiting RBPs and associated networks.