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Record W4409752042 · doi:10.1094/mpmi-04-25-0036-r

SRF6 Is Necessary for the Perception of the Cell Wall Component TGA by <i>Arabidopsis thaliana</i> and Its Subsequent Immune Reaction

2025· article· en· W4409752042 on OpenAlexafffund
I. Dave, Leah Ritchie, G. Adam Mott

Bibliographic record

VenueMolecular Plant-Microbe Interactions · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant-Microbe Interactions and Immunity
Canadian institutionsThe Scarborough HospitalUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsArabidopsisImmune systemBiologyCell biologyArabidopsis thalianaKinaseSignal transductionCellReceptorT-cell receptorCell wallEffectorFunction (biology)Immune receptorMutantT cellGeneGenetics

Abstract

fetched live from OpenAlex

Plants are sessile organisms and must accurately respond to a variety of growth, developmental, and environmental signals throughout their life to maximize fitness. Plant cell surface receptor-like kinases are ideal for the perception of such signals and their transduction within the cell. The Strubbelig receptor family (SRF) is a group of leucine-rich repeat receptor-like kinases, several of which have unknown function. Here, we identify a role for SRF6 in the perception of cell wall damage and the activation of downstream immune responses. We show that SRF6 is necessary for proper immune responses following elicitation with a short-chain oligogalacturonic acid, including activation of defense genes and increased bacterial resistance. We also demonstrate that the srf6 mutants are more sensitive to isoxaben treatment, suggesting enhanced cell wall integrity maintenance responses. These findings are compatible with the hypothesis that cell wall integrity maintenance responses are elevated when pattern-triggered immunity is compromised. [Formula: see text] Copyright © 2025 The Author(s). This is an open access article distributed under the CC BY-NC-ND 4.0 International license .

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.188
Threshold uncertainty score0.502

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.012
GPT teacher head0.225
Teacher spread0.213 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes2
Has abstractyes

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