Elicitation of secondary metabolism in <i>Echinacea purpurea</i> L. by gibberellic acid and triazoles
Bibliographic record
Abstract
Abstract In vitro bioreactor production of Echinacea purpurea L. was used to facilitate the screening of compounds capable of eliciting increased secondary metabolite production. Based on previous experience with various bioreactors, the Southern Sun Liquid Lab Rocker was selected for this study as it produces healthy, vigorous, whole plants. The focus of the present study was to quantify the concentration of the medicinally important secondary metabolites caftaric acid and cichoric acid and to study the effect of growth regulators on the production of these compounds in this system. Both marker compounds were produced at levels that compared favorably to field grown plants. Application of gibberellic acid (GA3), paclobutrazol, uniconazole and a combined treatment of GA3 with paclobutrazol to the in vitro plants generally increased the concentration of caftaric acid in the roots with little effect on the concentration in the shoots. The concentration of cichoric acid was higher in the roots of treated plants than in the roots of control plants, but lower in corresponding shoots. The present study highlights the use of in vitro production of whole plants as a model system for studying the regulation of plant secondary metabolism in a controlled environment.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".