MétaCan
Menu
Back to cohort
Record W2109167773 · doi:10.1139/cjm-2014-0412

Cloning and expression of delta-1-pyrroline-5-carboxylate dehydrogenase in <i>Escherichia coli</i> DH5α improves phosphate solubilization

2014· article· en· W2109167773 on OpenAlexvenueno aff
Mingbo Gong, Chaoxi Tang, Changxiong Zhu

Bibliographic record

VenueCanadian Journal of Microbiology · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMicrobial Metabolic Engineering and Bioproduction
Canadian institutionsnot available
Fundersnot available
KeywordsOpen reading frameEscherichia coliBiologyMolecular biologyComplementary DNABiochemistryExpression vectorDehydrogenaseclone (Java method)GenePeptide sequenceEnzymeRecombinant DNA

Abstract

fetched live from OpenAlex

A primary cDNA library of Penicillium oxalicum I1 was constructed using the switching mechanism at the 5' end of the RNA transcript (SMART) technique. A total of 106 clones showed halos in tricalcium phosphate (TCP) medium, and clone I-40 showed clear halos. The full-length cDNA of clone I-40 was 1355 bp with a complete open reading frame (ORF) of 1032 bp, encoding a protein of 343 amino acids. Multiple alignment analysis revealed a high degree of homology between the ORF of clone I-40 and delta-1-pyrroline-5-carboxylate dehydrogenase (P5CDH) of other fungi. The ORF expression vector was constructed and transformed into Escherichia coli DH5α. The transformant (ORF-1) with the P5CDH gene secreted organic acid in medium with TCP as the sole source of phosphate. Acetic acid and α-ketoglutarate were secreted in 4 and 24 h, respectively. ORF-1 decreased the pH of the medium from 6.62 to 3.45 and released soluble phosphate at 0.172 mg·mL(-1) in 28 h. Expression of the P. oxalicum I1 p5cdh gene in E. coli could enhance organic acid secretion and phosphate-solubilizing ability.

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 score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.004
GPT teacher head0.184
Teacher spread0.180 · 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

Citations7
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Journal of MicrobiologySame topicMicrobial Metabolic Engineering and BioproductionFrench-language works237,207