Pupylation-Based Proximity-Tagging of FERONIA-Interacting Proteins in Arabidopsis

Mol Cell Proteomics. 2024 Nov;23(11):100828. doi: 10.1016/j.mcpro.2024.100828. Epub 2024 Aug 13.

Abstract

The plasma membrane-localized receptor kinase FERONIA (FER) plays critical roles in a remarkable variety of biological processes throughout the life cycle of Arabidopsis thaliana. Revealing the molecular connections of FER that underlie these processes starts with identifying the proteins that interact with FER. We applied pupylation-based interaction tagging (PUP-IT) to survey cellular proteins in proximity to FER, encompassing weak and transient interactions that can be difficult to capture for membrane proteins. We reproducibly identified 581, 115, and 736 specific FER-interacting protein candidates in protoplasts, seedlings, and flowers, respectively. We also confirmed 14 previously characterized FER-interacting proteins. Protoplast transient gene expression expedited the testing of new gene constructs for PUP-IT analyses and the validation of candidate proteins. We verified the proximity labeling of five selected candidates that were not previously characterized as FER-interacting proteins. The PUP-IT method could be a valuable tool to survey and validate protein-protein interactions for targets of interest in diverse subcellular compartments in plants.

Keywords: Arabidopsis; FERONIA; LC-MS/MS; flower; interactome; leaf; pupylation-based proximity-tagging; receptor-like kinase; seedling.

MeSH terms

  • Arabidopsis Proteins* / genetics
  • Arabidopsis Proteins* / metabolism
  • Arabidopsis* / genetics
  • Arabidopsis* / metabolism
  • Flowers / genetics
  • Flowers / metabolism
  • Phosphotransferases / metabolism
  • Protein Binding
  • Protein Interaction Mapping / methods
  • Protein Serine-Threonine Kinases
  • Protoplasts / metabolism
  • Seedlings / genetics
  • Seedlings / metabolism

Substances

  • Arabidopsis Proteins
  • At3g51550 protein, Arabidopsis
  • Phosphotransferases
  • Protein Serine-Threonine Kinases