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Record W2934560295 · doi:10.1177/1934578x0800300804

Selective Elicitation of the Phytoalexin Rutalexin in Rutabaga and Turnip Roots by a Biotrophic Plant Pathogen

2008· article· en· W2934560295 on OpenAlexaff
M. Soledade C. Pedras, Ravi S. Gadagi, Qing‐An Zheng, S. R. Rimmer

Bibliographic record

VenueNatural Product Communications · 2008
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenomics, phytochemicals, and oxidative stress
Canadian institutionsAgriculture and Agri-Food CanadaUniversity of Saskatchewan
Fundersnot available
KeywordsPhytoalexinBrassica rapaBiologyBrassicaInoculationBotanyAbiotic componentHorticultureBiochemistry

Abstract

fetched live from OpenAlex

Stress responses of roots of rutabaga ( Brassica napus ssp. napobrassica) and turnip ( B. rapa ssp. rapa) were analyzed. Phytoalexin production due to biotic elicitation by the biotroph Albugo candida and abiotic elicitation using UV irradiation was quantified by HPLC. The phytoalexin rutalexin was produced in substantially higher amounts in rutabaga and turnip roots inoculated with A. candida than in UV irradiated roots. By contrast, production of the phytoalexins brassinin in rutabaga and cyclobrassinin in turnip was higher in UV irradiated roots than in roots inoculated with A. candida. Overall, the results suggest that A. candida is able to redirect the phytoalexin biosynthetic pathway towards rutalexin, a phytoalexin substantially less inhibitory than either brassinin or cyclobrassinin.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.149
Threshold uncertainty score0.385

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 integrity0.0000.000
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 head0.013
GPT teacher head0.239
Teacher spread0.227 · 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

Citations0
Published2008
Admission routes1
Has abstractyes

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