Effect of NaCl on growth, morphology, and camptothecin accumulation in <i>Camptotheca acuminata</i> seedlings
Bibliographic record
Abstract
NaCl salt is shown to increase alkaloid accumulation in some plant species, but creates an extensive problem in plant cultivation. The effect of NaCl on Camptotheca acuminata Decaisne growth, morphology, and camptothecin accumulation (concentration and yield) was studied in a hydroponic culture system. High NaCl levels (above 75 mM) in growth media significantly reduced plant height, weight, leaf number, and leaf length but increased leaf weight. In contrast, low NaCl levels (below 75 mM) only moderately reduced growth and affected morphology. Our results suggest a concentration of 75 mM is the threshold for NaCl to exert a detrimental effect on C. acuminata seedlings. Furthermore, high NaCl levels (above 75 mM) increased camptothecin concentrations both in leaves and roots, whereas low NaCl levels (below 75 mM) had no effect on camptothecin concentrations. However, total leaf camptothecin yield, the product of leaf camptothecin concentration and total leaf dry weight per seedling, decreased with increasing NaCl concentration. There was a negative relationship between plant growth and camptothecin concentration. Our results suggest that high NaCl salinity increases camptothecin concentration, but is not helpful to achieve a high camptothecin yield. Therefore, a salty growth environment should be avoided for camptothecin production. Key words: Alkaloid, anti-cancer plant, HPLC, plant secondary metabolism
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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) | 0.000 | 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 | 0.001 |
| 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".