Evidence map›Paper›PMID 36867580›Full record

ArticleMolecular plant-microbe interactions : MPMI2023

Altering Specificity and Autoactivity of Plant Immune Receptors Sr33 and Sr50 Via a Rational Engineering Approach.

Janina Tamborski, Kyungyong Seong, Furong Liu, Brian J Staskawicz, Ksenia V Krasileva

Open access · goldAbstract read
In one paragraph

Article in Molecular plant-microbe interactions : MPMI, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
16.3field-weighted citation impact, top 1% of its field
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

28 citing papers in PubMed, 42 citations in OpenAlex.

  1. Review
  2. Mechanisms and balanced regulation of plant immunity.Nature reviews. Molecular cell biology · 2026
    Review
  3. Structure-informed engineering of plant-microbe interactions.The Plant journal : for cell and molecular biology · 2026
    Review
  4. Review
  5. Review
  6. Review
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. All Roads Lead to Rome: Pathways to Engineering Disease Resistance in Plants.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  15. Article
  16. Review
  17. Bioengineering a plant NLR immune receptor with a robust binding interface toward a conserved fungal pathogen effector.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  18. Review
  19. Article
  20. The synthetic NLR RGA5Nature communications · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Janina TamborskiDepartment of Plant and Microbial Biology, University of California Berkeley, Berkeley, CA 94720, U.S.A.ORCID 0000-0001-9252-4319
Kyungyong SeongDepartment of Plant and Microbial Biology, University of California Berkeley, Berkeley, CA 94720, U.S.A.
Furong LiuDepartment of Plant and Microbial Biology, University of California Berkeley, Berkeley, CA 94720, U.S.A.
Brian J StaskawiczDepartment of Plant and Microbial Biology, University of California Berkeley, Berkeley, CA 94720, U.S.A.
Ksenia V KrasilevaDepartment of Plant and Microbial Biology, University of California Berkeley, Berkeley, CA 94720, U.S.A.ORCID 0000-0002-1679-0700
Innovative Genomics Institute · USUniversity of California, Berkeley · US

Funding

Cross-kingdom health: evolution of innate immune receptors and their targetsDP2AT011967 · NCCIH · UNIVERSITY OF CALIFORNIA BERKELEY · PI KRASILEVA, KSENIA V · 2021 to 2024
$2.2M
NCCIH NIH HHS DP2 AT011967
6 · The paper itself

Abstract

Many resistance genes deployed against pathogens in crops are intracellular nucleotide-binding (NB) leucine-rich repeat (LRR) receptors (NLRs). The ability to rationally engineer the specificity of NLRs will be crucial in the response to newly emerging crop diseases. Successful attempts to modify NLR recognition have been limited to untargeted approaches or depended on previously available structural information or knowledge of pathogen-effector targets. However, this information is not available for most NLR-effector pairs. Here, we demonstrate the precise prediction and subsequent transfer of residues involved in effector recognition between two closely related NLRs without their experimentally determined structure or detailed knowledge about their pathogen effector targets. By combining phylogenetics, allele diversity analysis, and structural modeling, we successfully predicted residues mediating interaction of Sr50 with its cognate effector AvrSr50 and transferred recognition specificity of Sr50 to the closely related NLR Sr33. We created synthetic versions of Sr33 that contain amino acids from Sr50, including Sr33

Indexed as

Plant ProteinsPlantsPhylogenyPlant DiseasesPlant ImmunityProtein DomainsReceptors, ImmunologicPlant ProteinsReceptors, ImmunologicNLRsplant immunityrational engineeringwheatwheat stem rust

Identifiers

PMID36867580
PMCPMC10561695
OpenAlexW4323035211

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.