A Cytochrome P450 Involved in the Metabolism of Abietane Diterpenoids by<i>Pseudomonas abietaniphila</i>BKME-9
Bibliographic record
Abstract
Diterpenoids are naturally occurring plant compounds which have pharmaceutical properties. We have sequenced a 10.4-kbp extension of the dit cluster in Pseudomonas abietaniphila BKME-9, containing genes involved in abietane diterpenoid biodegradation. The ditQ gene was found to encode a cytochrome P450 monooxygenase, P450dit, and to be homologous to the tdtD gene of Pseudomonas diterpeniphila A19-6a. Knocking out ditQ had little effect on growth of BKME-9 on abietic acid but severely impaired growth on dehydroabietic acid (DhA) and palustric acid (PaA), increasing doubling times from 3.8 to 15 h on DhA and from 5.6 to 18.5 h on PaA. A xylE transcriptional fusion showed that transcription of ditQ was induced by a range of diterpenoids. Substrate binding assays of P450dit expressed in Escherichia coli revealed that DhA binds to the enzyme and yields a type I binding spectrum with a Kd of 0.4 microM. These results indicate that P450dit is involved in the metabolism of DhA and PaA and are consistent with its putative role in converting DhA to 7-hydroxy-DhA. Finally, an amino acid sequence identity of greater than 72% and conserved gene arrangement support the hypothesis that the dit gene cluster of P. abietaniphila BKME-9 and the tdt cluster of P. diterpeniphila A19-6a contain functional homologues.
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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".