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Record W1990738896 · doi:10.4161/psb.4.8.9237

Metabolic engineering and potential functions of proanthocyanidins in poplar

2009· letter· en· W1990738896 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePlant Signaling & Behavior · 2009
Typeletter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant Gene Expression Analysis
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsBiologyProanthocyanidinMYBGeneInsectBotanyHerbivoreMetabolic pathwayGene expressionBiochemistryPolyphenol

Abstract

fetched live from OpenAlex

Poplar (Populus spp.) is a widely distributed tree genus of significant economic and ecological importance. Poplar trees accumulate proanthocyanidins (PAs) in leaves, roots, and a variety of other tissues. Damage to leaves by insects causes a rapid accumulation of PAs, both at the site of damage and distally in undamaged leaves. This rapid PA accumulation is mediated by the activation of genes encoding enzymes involved in PA synthesis. PAs have been hypothesized to deter insect feeding and reduce the nutritive value of poplar leaf tissue, but experimental evidence supporting a role for PAs as an effective inducible defense against herbivores is lacking. Our recent paper described the identification of a MYB gene that regulates the PA pathway under multiple stress conditions, and we used this gene to constitutively activate the PA pathway in poplar. Here we describe observations that suggest that poplar PAs may have roles besides insect defense, for example, responses to UV light. The PA-modified trees will be a useful tool for analyzing the biological roles of PAs in this important model tree.

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.

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 categoriesMeta-epidemiology (narrow)
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 score0.303
Threshold uncertainty score1.000

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.009
GPT teacher head0.216
Teacher spread0.207 · 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