Evidence map›Paper›PMID 26744216›Full record

ArticleThe Plant cell2016

Comparative Analysis of the Flax Immune Receptors L6 and L7 Suggests an Equilibrium-Based Switch Activation Model.

Maud Bernoux, Hayden Burdett, Simon J Williams, Xiaoxiao Zhang, Chunhong Chen, Kim Newell, Gregory J Lawrence, Bostjan Kobe, Jeffrey G Ellis, Peter A Anderson and 1 more

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in The Plant cell, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
33.6field-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

52 citing papers in PubMed, 118 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Review
  6. Review
  7. Article
  8. Review
  9. Article
  10. Plasma membrane association and resistosome formation of plant helper immune receptors.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. Review
  16. A genetically linked pair of NLR immune receptors shows contrasting patterns of evolution.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  17. CaThe EMBO journal · 2022
    Review
  18. Review
  19. Article
  20. 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

11 authors at 3 institutions in 1 country.

Maud BernouxCSIRO Agriculture, Canberra ACT 2601, Australia maud.bernoux@csiro.au.ORCID http://orcid.org/0000-0001-5416-4295
Hayden BurdettSchool of Biological Sciences, Flinders University, Adelaide SA 5001, Australia.ORCID http://orcid.org/0000-0003-4803-9660
Simon J WilliamsSchool of Chemistry and Molecular Biosciences, Institute for Molecular Bioscience and Australian Infectious Diseases Research Centre, University of Queensland, Brisbane QLD 4072, Australia.ORCID http://orcid.org/0000-0003-4781-6261
Xiaoxiao ZhangCSIRO Agriculture, Canberra ACT 2601, Australia.ORCID http://orcid.org/0000-0002-5417-6963
Chunhong ChenCSIRO Agriculture, Canberra ACT 2601, Australia.
Kim NewellCSIRO Agriculture, Canberra ACT 2601, Australia.
Gregory J LawrenceCSIRO Agriculture, Canberra ACT 2601, Australia.
Bostjan KobeSchool of Chemistry and Molecular Biosciences, Institute for Molecular Bioscience and Australian Infectious Diseases Research Centre, University of Queensland, Brisbane QLD 4072, Australia.ORCID http://orcid.org/0000-0001-9413-9166
Jeffrey G EllisCSIRO Agriculture, Canberra ACT 2601, Australia.
Peter A AndersonSchool of Biological Sciences, Flinders University, Adelaide SA 5001, Australia.
Peter N DoddsCSIRO Agriculture, Canberra ACT 2601, Australia.
Commonwealth Scientific and Industrial Research Organisation · AUFlinders University · AUThe University of Queensland · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

NOD-like receptors (NLRs) are central components of the plant immune system. L6 is a Toll/interleukin-1 receptor (TIR) domain-containing NLR from flax (Linum usitatissimum) conferring immunity to the flax rust fungus. Comparison of L6 to the weaker allele L7 identified two polymorphic regions in the TIR and the nucleotide binding (NB) domains that regulate both effector ligand-dependent and -independent cell death signaling as well as nucleotide binding to the receptor. This suggests that a negative functional interaction between the TIR and NB domains holds L7 in an inactive/ADP-bound state more tightly than L6, hence decreasing its capacity to adopt the active/ATP-bound state and explaining its weaker activity in planta. L6 and L7 variants with a more stable ADP-bound state failed to bind to AvrL567 in yeast two-hybrid assays, while binding was detected to the signaling active variants. This contrasts with current models predicting that effectors bind to inactive receptors to trigger activation. Based on the correlation between nucleotide binding, effector interaction, and immune signaling properties of L6/L7 variants, we propose that NLRs exist in an equilibrium between ON and OFF states and that effector binding to the ON state stabilizes this conformation, thereby shifting the equilibrium toward the active form of the receptor to trigger defense signaling.

Indexed as

Models, BiologicalAdenosine DiphosphateAdenosine TriphosphateAmino Acid SequenceCell DeathFlaxMolecular Sequence DataMutationPhenotypePlant ProteinsPolymorphism, GeneticProtein BindingProtein Structure, TertiaryReceptors, Cell SurfaceSaccharomyces cerevisiaeSequence AlignmentAdenosine DiphosphateAdenosine TriphosphatePlant ProteinsReceptors, Cell Surface

Identifiers

PMID26744216
PMCPMC4746675
OpenAlexW2223338073

What OpenQuestion holds

Textmetadata
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.