Cutinolytic esterase activity of bacteria isolated from mixed-plant compost and characterization of a cutinase gene from<i>Pseudomonas pseudoalcaligenes</i>
Bibliographic record
Abstract
The objective of the current study was to examine cutinolytic esterase (i.e., cutinase) activity by pseudomonads and bacteria isolated from mixed-plant compost. Approximately 400 isolates representing 52 taxa recovered from mixed-plant compost using cuticle baits, along with 117 pseudomonad isolates obtained from a culture collection (i.e., non-compost habitats), were evaluated. The ability of isolates to degrade the synthetic cutin polycaprolactone (PCL) was initially measured. Isolates from 23 taxa recovered from the compost degraded PCL. As well, isolates from 13 taxa of pseudomonads cleared PCL. Secondary screening measured esterase activity induced by the presence of apple cuticle using the chromogenic substrate p-nitrophenyl butyrate. Eighteen isolates representing four taxa (Alcaligenes faecalis , Bacillus licheniformis , Bacillus pumilus , and Pseudomonas pseudoalcaligenes) recovered from compost exhibited substantial esterase activity when grown with cuticle. In contrast, none of the pseudomonad isolates from the culture collection produced appreciable esterase activity. Although degradation of PCL was not correlated with esterase activity, isolates that were unable to degrade PCL failed to produce measureable esterase activities. Zymogram analysis indicated that the esterases produced by bacteria from compost ranged in size from 29 to 47 kDa. A gene from P. pseudoalcaligenes (cutA) was found to code for a cutin-induced esterase consisting of 302 amino acids and a theoretical protein size of 32 kDa. The enzyme was unique and was most closely related to other bacterial lipases (≤48% similarity).
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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) | 0.000 | 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 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".