{"id":"doi:10.1038/s41467-023-41721-9","kind":"article","title":"AlphaFold-Multimer predicts cross-kingdom interactions at the plant-pathogen interface","authors":["Homma F","Huang J","van der Hoorn RAL"],"author_count":3,"year":2023,"published":"2023-09-27","venue":"Nature communications","cited_by":151,"doi":"10.1038/s41467-023-41721-9","arxiv_id":null,"nct_id":null,"source_url":"https://doi.org/10.1038/s41467-023-41721-9","archive_url":"https://space-kitty.com/papers/doi:10.1038/s41467-023-41721-9","updated":null,"pmid":"37758696","pmcid":"PMC10533508","openalex_id":null,"pdf_url":"https://europepmc.org/articles/PMC10533508/pdf","abstract":"Adapted plant pathogens from various microbial kingdoms produce hundreds of unrelated small secreted proteins (SSPs) with elusive roles. Here, we used AlphaFold-Multimer (AFM) to screen 1879 SSPs of seven tomato pathogens for interacting with six defence-related hydrolases of tomato. This screen of 11,274 protein pairs identified 15 non-annotated SSPs that are predicted to obstruct the active site of chitinases and proteases with an intrinsic fold. Four SSPs were experimentally verified to be inhibitors of pathogenesis-related subtilase P69B, including extracellular protein-36 (Ecp36) and secreted-into-xylem-15 (Six15) of the fungal pathogens Cladosporium fulvum and Fusarium oxysporum, respectively. Together with a P69B inhibitor from the bacterial pathogen Xanthomonas perforans and Kazal-like inhibitors of the oomycete pathogen Phytophthora infestans, P69B emerges as an effector hub targeted by different microbial kingdoms, consistent with a diversification of P69B orthologs and paralogs. This study demonstrates the power of artificial intelligence to predict cross-kingdom interactions at the plant-pathogen interface.","abstract_license":"CC-BY (article license as recorded by Europe PMC; abstract reproduced unmodified apart from markup removal)","license":"CC-BY","is_open_access":true,"retracted":false,"peer_reviewed":null,"categories":[],"details":null,"provenance":"europepmc","attribution":"Abstract of \"AlphaFold-Multimer predicts cross-kingdom interactions at the plant-pathogen interface\" by Homma F, Huang J, van der Hoorn RAL, https://doi.org/10.1038/s41467-023-41721-9, used under its Creative Commons Attribution license (CC-BY); markup removed, otherwise unmodified.","topics":[{"slug":"protein-design","name":"AI Protein Design & Structure Prediction","domain_slug":"biotech"}],"cited_in_dossiers":[]}