Induction of callus culture through plant growth regulators supplementation and the effect of elicitors on enhancement of betalain synthesis using Gomphrena globosa
Bibliographic record
Abstract
Abstract Betalains are water soluble nitrogenous pigments produce by plants under the Caryophyllales order and has been favoured as a natural colourant in food and pharmaceutical industries due to its high stability towards pH and temperature over a wide range of food. There is a constant search for alternative source and technique for betalain production to meet the growing demand as conventional extraction method requires high quantity of plant material. Thus, this study sought to examine the potential of producing betalain through callus culture of a natural betalain bearing plant, Gomphrena globosa using different plant growth regulators (PGR) and to evaluate the effect of elicitation in enhancing betalain production. Callus induction from different explants showed that the percentage of callus induction (84.00-100.00%) from the leaf and hypocotyl explants was significantly higher than seeds (53.33%). A combination of 0.5 mg/L 2,4-dichlorophenoxyacetic acid (2,4-D) with 1.0 mg/L 6-benzylaminopurine (BAP) were found to be effective inducing pink callus in full strength MS medium. Elicitation with tyrosine was the most effective in enhancing the betacyanin content (red-violet pigments) followed by salicylic acid. The highest betacyanin content, 0.139 ± 0.035 mg/mg FW callus was obtained when 100 µM of tyrosine was supplied. Copper sulphate was found to be effective in increasing the callus size but not the betalain content. The callus size was about 13-fold bigger in MS medium supplemented with 25 µM copper sulphate compared to medium without elicitors. This is the first study reporting an optimised protocol in the production of pigmented callus containing betalain from G. globosa using a combination of PGRs consisting of 2,4-D and BAP. In addition, tyrosine can be used as a suitable elicitor to enhance betalain production which provides an alternative source of betalain for the commercial production of natural colorants.
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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 | 0.001 |
| 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".