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Record W4320709262 · doi:10.1128/mbio.03424-22

Amino Acid Availability Determines Plant Immune Homeostasis in the Rhizosphere Microbiome

2023· article· en· W4320709262 on OpenAlexafffund
Yang Liu, Andrew J. Wilson, Jiatong Han, Alisa Hui, Lucy R. O’Sullivan, Tao Huan, Cara H. Haney

Bibliographic record

VenuemBio · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant-Microbe Interactions and Immunity
Canadian institutionsUniversity of British Columbia
FundersNational Institute of General Medical SciencesChina Scholarship CouncilNatural Sciences and Engineering Research Council of CanadaGovernment of CanadaNational Institutes of HealthNational Science Foundation
KeywordsMicrobiomeRhizosphereImmune systemHomeostasisBiologyAmino acidPlant ImmunityPlant rootsComputational biologyMicrobiologyBacteriaChemistryBiochemistryImmunologyBioinformaticsCell biologyBotanyGeneticsArabidopsis

Abstract

fetched live from OpenAlex

Understanding how microbiota evade and suppress host immunity is critical to our knowledge of how beneficial microbes persist in association with a host. Prior work has shown that secretion of organic acids by beneficial microbes is sufficient to suppress plant immunity. This work shows that microbial amino acid metabolism is not only critical for growth in the plant rhizosphere microbiome, but also for regulation of plant rhizosphere pH, and, consequentially, regulation of plant immunity. We found that, in the absence of microbial glutamate and arginine metabolism, rhizosphere alkalization and microbial overgrowth occurs. Collectively, our findings suggest that, by regulating nutrient availability, plants have the potential to regulate their immune homeostasis in the rhizosphere microbiome.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.899
Threshold uncertainty score0.776

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.025
GPT teacher head0.225
Teacher spread0.200 · 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

Citations30
Published2023
Admission routes2
Has abstractyes

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