Publication:

Leveraging coevolutionary insights and AI-based structural modeling to unravel receptor–peptide ligand-binding mechanisms

Date

Date

Date
2024
Journal Article
Published version
cris.lastimport.scopus2025-06-28T03:38:41Z
cris.lastimport.wos2025-07-30T01:34:16Z
cris.virtual.orcidhttps://orcid.org/0000-0003-4935-8583
cris.virtualsource.orcid631ea9be-9c12-4c47-a7ca-f6e3c46602a9
dc.contributor.institutionUniversity of Zurich
dc.date.accessioned2025-01-10T12:01:06Z
dc.date.available2025-01-10T12:01:06Z
dc.date.issued2024-08-06
dc.description.abstract

Secreted signaling peptides are central regulators of growth, development, and stress responses, but specific steps in the evolution of these peptides and their receptors are not well understood. Also, the molecular mechanisms of peptide–receptor binding are only known for a few examples, primarily owing to the limited availability of protein structural determination capabilities to few laboratories worldwide. Plants have evolved a multitude of secreted signaling peptides and corresponding transmembrane receptors. Stress-responsive SERINE RICH ENDOGENOUS PEPTIDES (SCOOPs) were recently identified. Bioactive SCOOPs are proteolytically processed by subtilases and are perceived by the leucine-rich repeat receptor kinase MALE DISCOVERER 1-INTERACTING RECEPTOR-LIKE KINASE 2 (MIK2) in the model plan Arabidopsis thaliana. How SCOOPs and MIK2 have (co)evolved, and how SCOOPs bind to MIK2 are unknown. Using in silico analysis of 350 plant genomes and subsequent functional testing, we revealed the conservation of MIK2 as SCOOP receptor within the plant order Brassicales. We then leveraged AI-based structural modeling and comparative genomics to identify two conserved putative SCOOP–MIK2 binding pockets across Brassicales MIK2 homologues predicted to interact with the “SxS” motif of otherwise sequence-divergent SCOOPs. Mutagenesis of both predicted binding pockets compromised SCOOP binding to MIK2, SCOOP-induced complex formation between MIK2 and its coreceptor BRASSINOSTEROID INSENSITIVE 1-ASSOCIATED KINASE 1, and SCOOP-induced reactive oxygen species production, thus, confirming our in silico predictions. Collectively, in addition to revealing the elusive SCOOP–MIK2 binding mechanism, our analytic pipeline combining phylogenomics, AI-based structural predictions, and experimental biochemical and physiological validation provides a blueprint for the elucidation of peptide ligand–receptor perception mechanisms.

dc.identifier.doi10.1073/pnas.2400862121
dc.identifier.issn0027-8424
dc.identifier.scopus2-s2.0-85200828269
dc.identifier.urihttps://www.zora.uzh.ch/handle/20.500.14742/224517
dc.identifier.wos001408598700006
dc.language.isoeng
dc.subject.ddc580 Plants (Botany)
dc.title

Leveraging coevolutionary insights and AI-based structural modeling to unravel receptor–peptide ligand-binding mechanisms

dc.typearticle
dcterms.accessRightsinfo:eu-repo/semantics/openAccess
dcterms.bibliographicCitation.journaltitleProceedings of the National Academy of Sciences of the United States of America
dcterms.bibliographicCitation.number33
dcterms.bibliographicCitation.originalpublishernameNational Academy of Sciences
dcterms.bibliographicCitation.pagestart:e2400862121
dcterms.bibliographicCitation.pmid39106311
dcterms.bibliographicCitation.volume121
dspace.entity.typePublicationen
uzh.contributor.affiliationUniversity of Zurich
uzh.contributor.affiliationUniversité de Lausanne (UNIL)
uzh.contributor.affiliationMWSchmid GmbH
uzh.contributor.affiliationUniversity of Zurich
uzh.contributor.affiliationUniversity of Zurich
uzh.contributor.affiliationUniversity of Zurich
uzh.contributor.affiliationUniversité de Lausanne (UNIL)
uzh.contributor.affiliationUniversity of Zurich, University of East Anglia
uzh.contributor.authorSnoeck, Simon
uzh.contributor.authorLee, Hyun Kyung
uzh.contributor.authorSchmid, Marc W
uzh.contributor.authorBender, Kyle W
uzh.contributor.authorNeeracher, Matthias J
uzh.contributor.authorFernández-Fernández, Alvaro D
uzh.contributor.authorSantiago, Julia
uzh.contributor.authorZipfel, Cyril
uzh.contributor.correspondenceYes
uzh.contributor.correspondenceNo
uzh.contributor.correspondenceNo
uzh.contributor.correspondenceNo
uzh.contributor.correspondenceNo
uzh.contributor.correspondenceNo
uzh.contributor.correspondenceNo
uzh.contributor.correspondenceYes
uzh.document.availabilitypublished_version
uzh.eprint.datestamp2025-01-10 12:01:06
uzh.eprint.lastmod2025-07-30 01:41:16
uzh.eprint.statusChange2025-01-10 12:01:06
uzh.funder.nameH2020
uzh.funder.projectNumber773153
uzh.funder.projectTitleIMMUNO-PEPTALK - Regulation of plant receptor kinase-mediated immunity by endogenous peptides and their receptors
uzh.harvester.ethYes
uzh.harvester.nbNo
uzh.identifier.doi10.5167/uzh-266561
uzh.jdb.eprintsId14801
uzh.oastatus.unpaywallhybrid
uzh.oastatus.zoraHybrid
uzh.publication.citationSnoeck, S., Lee, H. K., Schmid, M. W., Bender, K. W., Neeracher, M. J., Fernández-Fernández, A. D., Santiago, J., & Zipfel, C. (2024). Leveraging coevolutionary insights and AI-based structural modeling to unravel receptor–peptide ligand-binding mechanisms. Proceedings of the National Academy of Sciences of the United States of America, 121, :e2400862121. https://doi.org/10.1073/pnas.2400862121
uzh.publication.freeAccessAtdoi
uzh.publication.originalworkoriginal
uzh.publication.publishedStatusfinal
uzh.scopus.impact5
uzh.scopus.subjectsMultidisciplinary
uzh.workflow.eprintid266561
uzh.workflow.fulltextStatuspublic
uzh.workflow.revisions24
uzh.workflow.rightsCheckkeininfo
uzh.workflow.sourceCrossref:10.1073/pnas.2400862121
uzh.workflow.statusarchive
uzh.wos.impact4
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