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Kanamycin reveals the role played by glutamate receptors in shaping plant resource allocation

2005· article· en· W1844855912 on OpenAlexaff
Christian Dubos, Janet A. Willment, David J. Huggins, Guy H. Grant, Malcolm M. Campbell

Bibliographic record

VenueThe Plant Journal · 2005
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant and Biological Electrophysiology Studies
Canadian institutionsUniversity of Toronto
FundersBiotechnology and Biological Sciences Research CouncilEngineering and Physical Sciences Research CouncilDirectorate for Biological Sciences
KeywordsIonotropic effectGlutamate receptorBiologyArabidopsisArabidopsis thalianaBiochemistryReceptorMutantCell biologyGene

Abstract

fetched live from OpenAlex

Ionotropic glutamate receptors (iGluRs) play important roles in neurotransmission in animals. There is growing evidence that iGluRs also play important roles in plants. Using a chemical genetics approach, which combined a pH-homeostasis mutant of Arabidopsis thaliana (de-etiolated3), several different iGluR agonists, molecular modelling, and reporter gene expression in transgenic plants, we provide evidence that iGluR agonism can induce dramatic changes in plant development and metabolism. Systematic hypothesis testing revealed a signalling circuit that integrates amino acid and sugar signals to affect elongation growth and the deposition of carbon into starch and lignins. The data show that aminoglycoside antibiotics, such as kanamycin, and polyamines impinge upon this circuit. These findings provide a mechanism for the conversion of amino acid and sugar signals into an appropriate response at the gene expression level, and underline the similarities in iGluR agonism between animals and plants.

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)0.001
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 score0.893
Threshold uncertainty score0.518

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.022
GPT teacher head0.201
Teacher spread0.179 · 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

Citations33
Published2005
Admission routes1
Has abstractyes

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