Bacterial extracellular protease activities in field soils under different fertilizer managements
Bibliographic record
Abstract
The major extracellular endopeptidase from Bacillus subtilis PF212 (isolated from paddy field soil) and B. subtilis CF80 (isolated from upland field soil) belongs to the group of serine proteases produced by Bacillus spp. known as subtilisins (optimum pH 7.0, optimum temperature 60 degrees C, and molecular mass 28 kDa). The NH2-terminal amino acid sequence (20 amino acids) of the endopeptidase from (i) strain CF80 was identical with that of subtilisin BPN' and (ii) strain PF212 was identical with that of subtilisin Amylosacchariticus. The properties (i.e., effect of inhibitors) of these endopeptidases were similar to those of the overall soil endopeptidase and soil endopeptidases extracted from paddy field soil. From the numbers of B. subtilis we isolated from paddy fields and found to produce a subtilisin-like serine protease, it seemed possible to consider that subtilisin was one of the soil endopeptidases in paddy field soils. The major extracellular endopeptidase from Serratia marcescens (strains 4-12-132, 4-12-131, and 4-60-110) isolated from upland field soils applied with animal slurry is a serratial metalloprotease (optimum pH 9.5, optimum temperature 40 degrees C, and molecular mass 50 kDa). The NH2-terminal amino acid sequence (20 amino acids) of the endopeptidase from strain 4-12-132 was identical with that of serratial metalloprotease, and partial DNA sequence of the endopeptidase gene of S. marcescens 4-12-132 had high homology with that of the serratial metalloprotease gene. The properties (i.e., effect of inhibitors) of this endopeptidase were similar to those of the overall soil endopeptidase in upland fields applied with animal slurry. Thus, it was possible to consider that serratial metalloprotease was one of the soil endopeptidases in upland fields applied with animal slurry.
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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) | 0.003 | 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".