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Alphafold-multimer predicts cross-kingdom interactions at the plant-pathogen interface

Abstract:
Adapted plant pathogens from various microbial kingdoms produce hundreds of unrelated small secreted proteins (SSPs) with elusive roles. Some of these SSPs might be inhibitors targeting the most harmful hydrolases secreted by the host. Here, we used Alphafold-Multimer (AFM) to screen 1,879 SSPs of seven tomato pathogens for interacting with six defence-related hydrolases of tomato that accumulate to high levels in the apoplast during infection. This screen of 11,274 protein pairs identified 15 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 tomato pathogens Cladosporium fulvum and Fusarium oxysporum, respectively. Together with a novel P69B inhibitor from the bacterial pathogen Xanthomonas perforans and the previously reported Kazal-like inhibitors of the oomycete pathogen Phytophthora infestans, P69B emerges as an important effector hub targeted by different microbial kingdoms, consistent with the presence of a hyper-variant residue in P69B orthologs and gene duplication and diversification of P69B paralogs that could avoid inhibitor binding. This study demonstrates the power of artificial intelligence to accurately predict novel cross-kingdom interactions at the plant-pathogen interface.
Publication status:
Published
Peer review status:
Not peer reviewed

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Preprint server copy:
10.1101/2023.04.03.535425

Authors


More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Biology
Role:
Author
ORCID:
0000-0002-7417-9766
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Biology
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Biology
Oxford college:
Somerville College
Role:
Author
ORCID:
0000-0002-3692-7487


More from this funder
Funder identifier:
https://ror.org/00cwqg982
Funding agency for:
Homma, F
Grant:
DDT00060
Programme:
Interdisciplinary Doctoral Training Program
More from this funder
Funder identifier:
https://ror.org/0472cxd90
Funding agency for:
van der Hoorn, RAL
Grant:
101019324
Programme:
ExtraImmune


Preprint server:
bioRxiv
Publication date:
2023-04-04
DOI:


Language:
English
Keywords:
Pubs id:
1336371
Local pid:
pubs:1336371
Deposit date:
2025-04-29

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