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Record W2081469258 · doi:10.1139/w09-008

Identification, characterization, and overexpression of a phytase with potential industrial interest

2009· article· en· W2081469258 on OpenAlexvenueno aff
Xiaowei Shi, Minglv Sun, Bo Zhou, Xiaoyun Wang

Bibliographic record

VenueCanadian Journal of Microbiology · 2009
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPhytase and its Applications
Canadian institutionsnot available
Fundersnot available
KeywordsPhytaseAspergillus nigerPichia pastorisBiochemistryMolecular massBiologyAmino acidRecombinant DNAGlycosylationSignal peptideEnzymePeptide sequencePhytic acidGene

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.555
Threshold uncertainty score0.097

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.017
GPT teacher head0.195
Teacher spread0.178 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations15
Published2009
Admission routes1
Has abstractyes

Explore more

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