A Combinatorial Approach To Study Cytochrome P450 Enzymes for<i>De Novo</i>Production of Steviol Glucosides in Baker’s Yeast
Bibliographic record
Abstract
Biosynthesis of steviol glycosides in planta proceeds via two cytochrome P450 enzymes (CYPs): kaurene oxidase (KO) and kaurenoic acid hydroxylase (KAH). KO and KAH function in succession with the support of a NADPH-dependent cytochrome P450 reductase (CPR) to convert kaurene to steviol. This work describes a platform for recombinant production of steviol glucosides (SGs) in Saccharomyces cerevisiae, demonstrating the full reconstituted pathway from the simple sugar glucose to the SG precursor steviol. With a focus on optimization of the KO-KAH activities, combinations of functional homologues were tested in batch growth. Among the CYPs, novel KO75 (CYP701) and novel KAH82 (CYP72) outperformed their respective functional homologues from Stevia rebaudiana, SrKO (CYP701A5) and SrKAH (CYP81), in assays where substrate was supplemented to culture broth. With kaurene produced from glucose in the cell, SrCPR1 from S. rebaudiana supported highest turnover for KO-KAH combinations, besting two other CPRs isolated from S. rebaudiana, the Arabidopsis thaliana ATR2, and a new class I CPR12. Some coexpressions of ATR2 with a second CPR were found to diminish KAH activity, showing that coexpression of CPRs can lead to competition for CYPs with possibly adverse effects on catalysis.
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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".