Production of Dictyostelium discoideum Hybrid Type Enzyme SteelyA in the Diatom Phaeodactylum tricornutum
Bibliographic record
Abstract
The bioproduction of high-value molecules offers a sustainable and cost-effective alternative to traditional extraction and chemical synthesis, particularly for complex metabolites like cannabinoids (CBs), which have therapeutic potential for neurodegenerative diseases. The marine diatom Phaeodactylum tricornutum presents a promising chassis for CB biosynthesis due to its high lipid content, essential building blocks to biosynthesize CBs. In this study, we explored the feasibility of producing olivetolic acid (OA), the key CB precursor, using a hybrid-type polyketide synthase, SteelyA, from Dictyostelium discoideum. Unlike the native Cannabis sativa enzymes—tetraketide synthase and olivetolic acid cyclase—which exhibit low productivity and stability in diatoms, SteelyA was expected to offer an alternative biosynthetic route. Heterologous production in P. tricornutum resulted in a C-terminal fragment of the SteelyA enzyme, suggesting partial expression or processing of the very high-molecular-weight (352 kDa) SteelyA protein over six months without affecting cellular growth. However, HPLC-MS analysis did not detect intracellular OA or its derivatives in vivo and in vitro, suggesting enzymatic inactivity or metabolic limitations. These negative findings highlight the need for further investigation into the metabolic and proteomic requirements for CB precursor biosynthesis in diatoms, guiding future optimization strategies for sustainable cannabinoid production.
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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) | 0.000 | 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".