Abstract
Abstract This study aimed to evaluate effect of jasmonic acid (JA), and selected growth regulators on the in vitro biosynthesis of secondary metabolites in plant callus cultures of Phoenix dactylifera L . cv. Barhi. Gas Chromatography-Mass Spectrometry (GC-MS) detected and examined secondary metabolites. Callus tissues were cultured on MS medium supplemented with different combinations of JA, 2iP, 2,4-D, NAA. The metabolic profiling revealed that Treatment B (2 JA, 2 2iP, 8 2,4 -D, 40 NAA) mg/L produced the highest diversity and total number of secondary metabolites, identifying 50 compounds with 66% being unique metabolites. In contrast, Treatment F (4 JA, 4 2iP, 12 2,4 -D, 60 NAA) mg/L achieved the highest ratio of unique metabolites (77.5%) but resulted in a lower total number of identified compounds (40 metabolites). These findings suggest that using moderate concentrations of plant growth regulators (PGR) more effectively enhances the diversity and accumulation of secondary metabolites compared to higher concentrations. The findings highlight the potential of tailoring growth regulator combinations as an effective technique for increasing bioactive chemical production in plant tissue culture systems for pharmaceutical and commercial use.
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Claims 4
Claim · model-written summary
Treatment B produced the highest diversity and total number of secondary metabolites, identifying 50 compounds.
- Taxon
- Phoenix dactylifera L. cv. Barhi
Phoenix dactyliferat0 - Organ / stage
- Calluse1
- Treatment
- Treatment B (2 JA, 2 2iP, 8 2,4 -D, 40 NAA) mg/Le0
- Outcome
- diversity and total number of secondary metabolitese0
- Direction
- higheste0
- Value
- 50 compoundse0
Not reportedComparator
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
t0“Phoenix dactylifera L. cv. Barhi”
e0“Treatment B (2 JA, 2 2iP, 8 2,4 -D, 40 NAA) mg/L produced the highest diversity and total number of secondary metabolites, identifying 50 compounds with 66% being unique metabolites”
e1“Callus tissues were cultured”
Claim · model-written summary
Treatment B metabolites were 66% unique.
- Taxon
- Phoenix dactylifera L. cv. BarhiPhoenix dactyliferat0
- Treatment
- Treatment Be0
- Outcome
- unique metabolitese0
- Value
- 66%e0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
t0“Phoenix dactylifera L. cv. Barhi”
e0“Treatment B (2 JA, 2 2iP, 8 2,4 -D, 40 NAA) mg/L produced the highest diversity and total number of secondary metabolites, identifying 50 compounds with 66% being unique metabolites”
Claim · model-written summary
Treatment F achieved the highest unique metabolite ratio of 77.5%.
- Taxon
- Phoenix dactylifera L. cv. BarhiPhoenix dactyliferat0
- Treatment
- Treatment F (4 JA, 4 2iP, 12 2,4 -D, 60 NAA) mg/Le0
- Outcome
- ratio of unique metabolitese0
- Direction
- higheste0
- Value
- 77.5%e0
Not reportedComparator
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
t0“Phoenix dactylifera L. cv. Barhi”
e0“Treatment F (4 JA, 4 2iP, 12 2,4 -D, 60 NAA) mg/L achieved the highest ratio of unique metabolites (77.5%)”
Claim · model-written summary
Treatment F yielded a lower total of 40 identified metabolites.
- Taxon
- Phoenix dactylifera L. cv. BarhiPhoenix dactyliferat0
- Treatment
- Treatment F (4 JA, 4 2iP, 12 2,4 -D, 60 NAA) mg/Le0
- Outcome
- total number of identified compoundse0
- Direction
- lowere0
- Value
- 40 metabolitese0
Not reportedComparator
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
t0“Phoenix dactylifera L. cv. Barhi”
e0“Treatment F (4 JA, 4 2iP, 12 2,4 -D, 60 NAA) mg/L achieved the highest ratio of unique metabolites (77.5%) but resulted in a lower total number of identified compounds (40 metabolites)”
The same questions in other papers
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1 paper in the same direction as this paper
- positive
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2 papers in the same direction as this paper
- positive
- positive
Claims are grouped by organism, treatment and what was measured or targeted. A paper counts as positive when any of its claims in the group is positive.