Back

High-Throughput Glycan Array Screening Reveals Rhamnogalacturonan-I as a Ligand for Arabidopsis Leucine-Rich Repeat Receptor Kinases

LEE, D.; Ruprecht, C.; Lee, J.-M.; Choi, M.-S.; Hrovat, T.; Heo, G.; Edelbacher, N.; Enugutti, B.; Blaukopf, M.; Cho, C. H.; Lee, H.-S.; Belkhadir, Y.; Smakowska-Luzan, E.; Pfrengle, F.

2025-01-31 plant biology
10.1101/2025.01.29.635407 bioRxiv
Show abstract

The plant cell wall not only serves as a physical barrier against pathogens but, when damaged, also functions as a source of cell wall-derived molecules that play crucial roles in plant immunity as damage-associated molecular patterns (DAMPs). While oligogalacturonides from homogalacturonan are well-studied DAMPs, the immune-signaling potential of other cell wall components remains largely unexplored. Conventional genetic and biochemical approaches aimed at identifying ligand-receptor pairs in plant immunity have been limited by the vast diversity of potential ligand molecules and functional redundancy of putative receptors. Here, we developed a high-throughput screening pipeline that simultaneously examines multiple interactions between plant cell wall-derived glycans and >350 extracellular domains (ECDs) of receptor kinases and receptor like proteins in Arabidopsis, resulting in the screening of >40,000 interactions. We discovered a group of leucine-rich repeat receptor kinases named ARMs (AWARENESS of RG-I MAINTENANCES) that interact with rhamnogalacturonan-I (RG-I), a major component of pectin. RG-I treatment induced pattern-triggered immunity responses, with distinct kinetics compared to oligogalacturonide responses. We identified RG-I oligosaccharide structures required for interaction with ARM receptors and immune activation, and found that ARM receptors are redundantly involved in plant immunity. Collectively, our approach provides a powerful platform for discovering glycan-receptor pairs in plants, facilitating a more comprehensive understanding of cell wall surveillance mechanisms in plant immunity.

Matching journals

The top 2 journals account for 50% of the predicted probability mass.