The Gymnosperm Cytochrome P450 CYP750B1 Catalyzes Stereospecific Monoterpene Hydroxylation of (+)-Sabinene in Thujone Biosynthesis in Western Redcedar
Bibliographic record
Abstract
Western redcedar (WRC; Thuja plicata) produces high amounts of oxygenated thujone monoterpenoids associated with resistance against herbivore feeding, particularly ungulate browsing. Thujones and other monoterpenoids accumulate in glandular structures in the foliage of WRC. Thujones are produced from (+)-sabinene by sabinol and sabinone. Using metabolite analysis, enzyme assays with WRC tissue extracts, cloning, and functional characterization of cytochrome P450 monooxygenases, we established that trans-sabin-3-ol but not cis-sabin-3-ol is the intermediate in thujone biosynthesis in WRC. Based on transcriptome analysis, full-length complementary DNA cloning, and characterization of expressed P450 proteins, we identified CYP750B1 and CYP76AA25 as the enzymes that catalyze the hydroxylation of (+)-sabinene to trans-sabin-3-ol. Gene-specific transcript analysis in contrasting WRC genotypes producing high and low amounts of monoterpenoids, including a glandless low-terpenoid clone, as well as assays for substrate specificity supported a biological role of CYP750B1 in α- and β-thujone biosynthesis. This P450 belongs to the apparently gymnosperm-specific CYP750 family and is, to our knowledge, the first member of this family to be functionally characterized. In contrast, CYP76AA25 has a broader substrate spectrum, also converting the sesquiterpene farnesene and the herbicide isoproturon, and its transcript profiles are not well correlated with thujone accumulation.
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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".