Evidence map›Paper›PMID 40721668›Full record

ArticleNature plants2025

Reverse engineering of the pattern recognition receptor FLS2 reveals key design principles of broader recognition spectra against evading flg22 epitopes.

Songyuan Zhang, Songyuan Liu, Hung-Fei Lai, Kyle W Bender, Gijeong Kim, Amedeo Caflisch, Cyril Zipfel

Erratum issuedAbstract read
In one paragraph

Article in Nature plants, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

  1. Mechanisms and balanced regulation of plant immunity.Nature reviews. Molecular cell biology · 2026
    Review
  2. Review
  3. Structure-informed engineering of plant-microbe interactions.The Plant journal : for cell and molecular biology · 2026
    Review
  4. Diversification and deployment of PRR and NLR immune receptors in potato.The Plant journal : for cell and molecular biology · 2026
    Review
  5. Article
  6. Review
  7. Review
  8. Review
  9. The transformative power of structural predictions with AI in plant science.The Plant journal : for cell and molecular biology · 2026
    Review
  10. Plant cell surface receptors.The Plant journal : for cell and molecular biology · 2026
    Review
  11. Calcium signaling in crops.The New phytologist · 2026
    Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. mamp-ml: A deep learning approach to epitope immunogenicity in plants.bioRxiv : the preprint server for biology · 2025
    Article
  18. Review
  19. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Songyuan ZhangInstitute of Plant and Microbial Biology, Zurich-Basel Plant Science Center, University of Zurich, Zurich, Switzerland.ORCID 0009-0006-2576-0112
Songyuan LiuDepartment of Biochemistry, University of Zurich, Zurich, Switzerland.ORCID 0009-0007-5551-0576
Hung-Fei LaiInstitute of Plant and Microbial Biology, Zurich-Basel Plant Science Center, University of Zurich, Zurich, Switzerland.
Kyle W BenderInstitute of Plant and Microbial Biology, Zurich-Basel Plant Science Center, University of Zurich, Zurich, Switzerland.
Gijeong KimInstitute of Plant and Microbial Biology, Zurich-Basel Plant Science Center, University of Zurich, Zurich, Switzerland.ORCID 0000-0002-3147-7317
Amedeo CaflischDepartment of Biochemistry, University of Zurich, Zurich, Switzerland.
Cyril ZipfelInstitute of Plant and Microbial Biology, Zurich-Basel Plant Science Center, University of Zurich, Zurich, Switzerland. cyril.zipfel@botinst.uzh.ch.ORCID 0000-0003-4935-8583

Funding

Universität Zürich (University of Zurich) n/a
6 · The paper itself

Abstract

In the ongoing plant-pathogen arms race, plants use pattern recognition receptors (PRRs) to recognize pathogen-associated molecular patterns (PAMPs), while in successful pathogens, PAMPs can evolve to evade detection. Engineering PRRs to recognize evading PAMPs could potentially generate broad-spectrum and durable disease resistance. Here we reverse-engineered two natural variants of the PRR FLAGELLIN SENSING 2 (FLS2), VrFLS2XL and GmFLS2b, with extended recognition specificities towards evading flg22 variants. We identified minimal gain-of-function residues enabling blind FLS2s to recognize otherwise evading flg22 variants. We uncovered two strategies: (1) optimizing FLS2-flg22 interaction around flg22's key evasion sites and (2) strengthening direct FLS2-BAK1 interaction to overcome weak agonistic and antagonistic flg22s, respectively. In addition, we leveraged polymorphisms that enhance recognition through unknown mechanisms to engineer a superior recognition capability. These findings offer basic design principles to engineer PRRs with broader recognition spectra, paving the way for PRR engineering to generate precisely gene-edited disease-resistant crops.

Indexed as

ArabidopsisArabidopsis ProteinsEpitopesFlagellinPlant DiseasesProtein KinasesReceptors, Pattern RecognitionDisease ResistanceArabidopsis ProteinsEpitopesFlagellinFLS2 protein, ArabidopsisProtein KinasesReceptors, Pattern Recognition

Identifiers

PMID40721668
PMCPMC12364711

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.