Extrachromosomal expression of functional Cannabis sativa cannabidiolic acid synthase in Phaedodactylum tricornutum
Bibliographic record
Abstract
Cannabis sativa 's cannabidiolic acid (CBDA) offers significant therapeutic potential without inducing psychotropic effects but is typically found as part of a complex mixture of metabolites in plant extracts. Using a heterologous expression platform could allow the production of pure CBDA. Here, we propose to express CBDA synthase (CBDAS) in Phaeodactylum tricornutum . Episomes carrying CBDAS variants, incorporating the native signal peptide (CBDAS) or the highly abundant secreted protein 1 secretory signal peptide (SP:CBDAS) were constructed. CBDAS variants were tagged with the yellow fluorescent protein (YFP), introduced into the marine diatom, and screened by fluorescence. Confocal microscopy revealed that CBDAS and SP:CBDAS arranged in aggregated structures indicative of secretory pathway involvement. Western blot assays confirmed whole construct accumulation intracellularly, while soluble YFP was detected extracellularly. Finally, enzymatic assays showed CBDA production by both CBDAS and SP:CBDAS strains, confirming the potential of P. tricornutum as a platform for cannabinoid biosynthesis. • Microalgae production of cannabidiolic acid (CBDA), a bioactive cannabinoid (CB) • Promising photosynthetic platform for sustainable biomanufacturing pharmaceuticals • Cannabis CBDA synthase was successfully heterologously expressed in Phaeodactylum tricornutum . • Fluorescent tagging and microscopy used to track CBDA synthase localization. • Secretory signal peptides enhance CBDA synthase targeting and secretion pathways.
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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 | 0.000 |
| 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".