Benzylisoquinoline alkaloid production in yeast via norlaudanosoline improves selectivity and yield
Bibliographic record
Abstract
Abstract The benzylisoquinoline alkaloid (BIA) family of tetrahydroisoquinolines (THIQs) comprises over 2,500 members, including the pharmaceuticals morphine, codeine, and papaverine as well as the antibiotics sanguinarine and chelerythrine used in animal husbandry. Agricultural cultivation can currently supply the demand for the BIAs that accumulate in plants, but broader access to the entire BIA family would open new avenues of research and commercialization. Microbial synthesis presents an attractive option due to cheap feedstock, genetic tractability, and ease of scale-up. Previously we reported titers of the key branch-point BIA ( S )-reticuline of 4.6 g/L in yeast, which was achieved through leveraging the Ehrlich pathway 2-oxoacid decarboxylase Aro10 to generate the intermediate 4-hydroxyphenylacetaldehyde (4-HPAA). Here, we establish a superior route to ( S )-reticuline by switching the pathway intermediate from 4-HPAA to 3,4-dihydroxyphenylacetaldehyde (3,4-dHPAA) using human monoamine oxidase A (MAO). The resulting ( S )-norlaudanosoline route to ( S )-reticuline synthesis is more selective, resolving prior issues with off-pathway THIQs synthesized due to concerted enzyme promiscuity. The new pathway is also more efficient, enabling titers of 4.8 g/L ( S )-reticuline while improving yields over 40%, from 17 mg/g sucrose to 24 mg/g sucrose in fed-batch fermentations. Finally, we extend de novo ( S )-reticuline synthesis to dihydrosanguinarine, achieving 635 mg/L dihydrosanguinarine and sanguinarine in fed-batch fermentation the highest reported titer of these BIAs by a factor of 40. Highlights Monoamine oxidase A (MAO) supports high-titer ( S )-reticuline synthesis in yeast MAO route to ( S )-reticuline improves specificity compared to Aro10 route This work represents a 40% increase in highest reported ( S )-reticuline yield 653 mg/L (dihydro-) sanguinarine was produced by extending the pathway
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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 | 0.001 |
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".