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Record W3133737402 · doi:10.1073/pnas.2008747118

Negative regulation of plastidial isoprenoid pathway by herbivore-induced β-cyclocitral in <i>Arabidopsis thaliana</i>

2021· article· en· W3133737402 on OpenAlexaff
Sirsha Mitra, Roger Estrada‐Tejedor, Daniel C. Volke, Michael A. Phillips, Jonathan Gershenzon, Louwrance P. Wright

Bibliographic record

VenueProceedings of the National Academy of Sciences · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant biochemistry and biosynthesis
Canadian institutionsUniversity of Toronto
FundersNovo Nordisk FondenMax-Planck-GesellschaftDepartment of Biotechnology, Ministry of Science and Technology, India
KeywordsArabidopsis thalianaTerpenoidArabidopsisHerbivoreBotanyBiologyGeneBiochemistry

Abstract

fetched live from OpenAlex

Significance Plants are known to respond to insect herbivory in multiple ways. Under herbivore attack, plants increase their commitment to defense but decrease their commitment to growth and carbon assimilation. Unfortunately, this second aspect is less studied. Here we report the discovery of an herbivore-triggered signal (β-cyclocitral) that enhances plant resistance and down-regulates the methylerythritol-4-phosphate (MEP) pathway of terpenoid biosynthesis. The MEP pathway supplies the precursors for many metabolites important in photosynthesis such as chlorophylls, carotenoids, plastoquinones, phylloquinones, and tocopherols. We also elucidated the mechanism responsible for the reduction of MEP pathway flux under herbivory and found that β-cyclocitral inhibits the activity of the first step of the pathway, which was also shown to control flux under normal growth conditions.

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)0.001
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 score0.013
Threshold uncertainty score0.268

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 integrity0.0000.000
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 head0.020
GPT teacher head0.253
Teacher spread0.233 · 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

Citations62
Published2021
Admission routes1
Has abstractyes

Explore more

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