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Record W4415450582 · doi:10.1016/j.celrep.2025.116457

A bacterial exotoxin-triggered plant immune response restricts pathogen growth

2025· article· en· W4415450582 on OpenAlexafffund
David Thoms, Melissa Y. Chen, Yang Liu, Leah Fulton, Youqing Luo, Daniel E Hiott, Siyu Song, Zayda Morales Moreira, Nicole R. Wang, Diego A. R. Zorio, Martin Rejzek, Ryan Potter, Philip Carella, Cara H. Haney

Bibliographic record

VenueCell Reports · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant-Microbe Interactions and Immunity
Canadian institutionsUniversity of British Columbia
FundersDivision of Integrative Organismal SystemsLife Sciences InstituteChina Scholarship CouncilNatural Sciences and Engineering Research Council of CanadaUniversity of British ColumbiaCanada Research Chairs
KeywordsPathogenImmune systemPlant ImmunityPseudomonas fluorescensImmunityStrain (injury)Pseudomonas syringaeElicitor

Abstract

fetched live from OpenAlex

For optimal growth and development, hosts must promote healthy symbiotic interactions while restricting pathogens. To ask whether hosts can distinguish phylogenetically similar pathogens and beneficial bacteria, we used two closely related plant root-associated strains within the Pseudomonas fluorescens species complex. Despite having similar immunogenic microbe-associated molecular patterns, one strain is beneficial and the other exhibits exotoxin-dependent virulence. We show that the two strains co-exist in vitro, but the beneficial strain outcompetes the pathogen in the rhizosphere. We find that plants respond to the pathogen, but not the beneficial strain, predominantly via an exotoxin-triggered defense response in roots. The purified exotoxin is sufficient to induce immunity and restrict bacterial growth in a BAK1/BKK1/CERK1-dependent manner. We show that these immune components are also required for balancing the growth between the beneficial and pathogenic strains. We conclude that plant immunity can distinguish phylogenetically similar microbes with distinct lifestyles, in part, through perception of exotoxins.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.013
GPT teacher head0.207
Teacher spread0.193 · 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 source (direct Gemma or distilled Codex), 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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