Histochemical Screening of Leaves Compared to in situ and in vitro Calluses of Solanum aculeatissimum Jacq.
Bibliographic record
Abstract
Solanum aculeatissimum Jacq. is a shrub considered to have valuable medicinal potential in folk medicine in China and Nepal. The fruit extract is used for toothache, scabies, headache, dandruff and lice infestation. A limited number of reports address techniques of tissue culture for this plant. Therefore, the objective of the present study was to establish the species in vitro from seeds and subsequently to compare the production of primary and secondary metabolites in the plant’s leaves in situ and in vitro and in calluses obtained from leaf segments. Seedlings were established from seeds in Murashige and Skoog (MS) medium with a 50% salt concentration.The seedlings were kept under a photoperiod of 16 h of photosynthetically active radiation at 45-55 µmol m-2 s-1 provided by fluorescent bulbs. The callus induction experiment followed a completely randomized design consisting of 2 doses of kinetin (KIN), 2.5 and 10 mg L-1, in the absence or presence of light. Segments were inoculated in glass bottles containing 50% MS medium, 30 g L-1 of sucrose, 3.5 g L-1 of agar and 1 mg L-1 of 2,4-D (2,4-dichlorophenoxyacetic acid), with the pH adjusted to 5.7±0.03. We observed that in vitro cultivation of calluses resulted in greater secondary metabolite production and accumulation, regardless of KIN concentration. In calluses, the best alternative for potentiation occurred in cultivation in the absence of light when compared to the tissues of both in situ and in vitro leaves.
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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 | 0.001 | 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) | 0.002 | 0.001 |
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".