Identification, characterization, and overexpression of a phytase with potential industrial interest
Bibliographic record
Abstract
A high phytase-producing strain of Aspergillus niger N-3 was identified by screening 104 microbial strains. The gene for A. niger N-3 was cloned and expressed in Pichia pastoris. The coding region without the introns and putative signal sequence was comprised of 1347 nucleotides. It encoded a polypeptide of 448 amino acids, exhibiting high amino acid sequence homologies (94.87%) with the typical phytase of A. niger NRRL 3135. The molecular mass of the recombinant phytase as determined by SDS-PAGE was 60-70 kDa, with maximum activity at approximately 55 degrees C (after incubation at 10 min). The phytase retained about 45% of its enzymatic activity under heat treatment at 90 degrees C for 5 min. It showed a greater affinity for sodium phytate than for p-nitrophenyl phosphate. Dual optima pH (2.0 and 5.5) was gained. The activity at pH 2.0 was about 30% higher than at pH 5.5, which was more suitable to the circumstance of the stomachs of monogastric animals. The extent of glycosylation influenced the characterization of phytase. The deglycosylated phytase showed pH optima at 3.5 and 5.5, and the molecular mass had dropped to 50 kDa.
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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".