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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".