Genetic analyses and molecular characterization of the pathways involved in the conversion of 2‐phenylethylamine and 2‐phenylethanol into phenylacetic acid in <i>Pseudomonas putida</i> U
Bibliographic record
Abstract
In Pseudomonas putida U two different pathways (Pea, Ped) are required for the conversion of 2-phenylethylamine and 2-phenylethanol into phenylacetic acid. The 2-phenylethylamine pathway (PeaABCDEFGHR) catalyses the transport of this amine, its deamination to phenylacetaldehyde by a quinohaemoprotein amine dehydrogenase and the oxidation of this compound through a reaction catalysed by a phenylacetaldehyde dehydrogenase. Another catabolic route (PedS(1)R(1)ABCS(2)R(2)DEFGHI) is needed for the uptake of 2-phenylethanol and for its oxidation to phenylacetic acid via phenylacetaldehyde. This implies the participation of two different two-component signal-transducing systems, two quinoprotein alcohol dehydrogenases, a cytochrome c, a periplasmic binding protein, an aldehyde dehydrogenase, a pentapeptide repeat protein and an ABC efflux system. Additionally, two accessory sets of elements (PqqABCDEF and CcmABCDEFGHI) are necessary for the operation of the main pathways (Pea and Ped). PqqABCDEF is required for the biosynthesis of pyrroloquinoline quinone (PQQ), a prosthetic group of certain alcohol dehydrogenases that transfers electrons to an independent cytochrome c; whereas CcmABCDEFGHI is required for cytochrome c maturation. Our data show that the degradation of phenylethylamine and phenylethanol in P. putida U is quite different from that reported in Escherichia coli, and they demonstrate that PeaABCDEFGHR and PedS(1)R(1)ABCS(2)R(2)DEFGHI are two upper routes belonging to the phenylacetyl-CoA catabolon.
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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 | 0.001 |
| 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".