Characterization of<i>tdt</i>genes for the degradation of tricyclic diterpenes by<i>Pseudomonas diterpeniphila</i>A19-6a
Bibliographic record
Abstract
Resin acids are tricyclic diterpenes that are toxic to aquatic life when released in high concentrations in pulp mill effluents. These naturally formed organic acids are readily degraded by bacteria and fungi; nevertheless, many of the mechanisms involved are still unknown. We report the localization, cloning, and sequencing of genes for abietane degradation (9.18 kb; designated tdt (tricyclic diterpene) LRSABCD) from the gamma-Proteobacterium Pseudomonas diterpeniphila A19-6a. Using gene knockout mutants, we demonstrate that tdtL, encoding a putative CoA ligase, is required for growth on abietic and dehydroabietic acids. A second gene knockout in tdtD, encoding a putative cytochrome P450 monooxygenase, reduced the growth of strain A19-6a on abietic and dehydroabietic acids as sole sources of carbon and energy, but did not eliminate growth. The degree of homology between P450TdtD and P450TerpC, the closest known P450 homologue to TdtD, identifies TdtD as a new member of the P450 superfamily. Hybridization of six of the tdt genes to genomic DNA of a related resin acid degrading bacterium Pseudomonas abietaniphila BKME-9 identified tdt homologues in this strain that utilizes aromatic ring dioxygenase genes (dit) to open the ring structure of abietic and dehydroabietic acids. These results suggest the tdt and dit genes may function in concert to allow these Pseudomonas strains to degrade resin acids. Homologues of several of the tdt genes were detected in resin acid degrading Ralstonia and Comamonas species within the beta- and gamma-Proteobacteria.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 teacher head, 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".