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Record W2593814366 · doi:10.1139/cjm-2016-0602

An extracellular aminopeptidase encoded by the <i>ywaD</i> gene plays an important role in supplying nitrogen nutrition for the growth of <i>Bacillus subtilis</i> 168

2017· article· en· W2593814366 on OpenAlexvenueno aff
Zhongmei Liu, Xinxing Gao, Li Zhou, Wenjing Cui, Yaping Tian, Zhemin Zhou

Bibliographic record

VenueCanadian Journal of Microbiology · 2017
Typearticle
Languageen
FieldMedicine
TopicPeptidase Inhibition and Analysis
Canadian institutionsnot available
FundersNational Natural Science Foundation of China
KeywordsBacillus subtilisMutantAminopeptidaseExtracellularProteaseAmino acidBiologyBiochemistryStrain (injury)Wild typeGeneSerine proteaseMolecular biologyMicrobiologyBacteriaEnzymeLeucineGenetics

Abstract

fetched live from OpenAlex

To investigate the physiological role of an extracellular aminopeptidase (BSAP168) encoded by the ywaD gene in Bacillus subtilis 168, we constructed the ywaD-deletion mutant (BS-AP-K). Compared with that of the wild-type strain, the maximum growth rate of BS-AP-K was reduced by 28% when grown in soybean protein medium at 37 °C, but not in Luria-Bertani medium. The impaired growth rate was more marked at higher temperature and could be compensated by supplementation of amino acid to the culture media. Further studies showed that in regards to the amino acid compositions and peptide distribution in the culture supernatants, there was an obvious difference between the culture supernatants of wild-type and BS-AP-K strains. In addition, another mutant strain (BS-AP-R) was constructed by replacing ywaD with ywaD-ΔPA to evaluate the effect of a protease-associated domain in BSAP168 on growth. All these findings indicated that BSAP168 played an important role in supplying the amino acids required for growth.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.014
GPT teacher head0.243
Teacher spread0.229 · 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 source (direct Gemma or distilled Codex), 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

Citations3
Published2017
Admission routes1
Has abstractyes

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