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Record W2418798131 · doi:10.4014/jmb.1409.09031

Cloning, Expression, and Characterization of a Cold-Adapted and Surfactant-Stable Alginate Lyase from Marine Bacterium Agarivorans sp. L11

2015· article· en· W2418798131 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Microbiology and Biotechnology · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEnzyme Production and Characterization
Canadian institutionsMinistry of Education and Child Care
FundersOcean University of ChinaNational Natural Science Foundation of China
KeywordsLyaseEscherichia coliEnzymeBiochemistryMolecular cloningCloning (programming)Recombinant DNAPulmonary surfactantBacteriaBiologyChemistryGeneGene expressionGenetics

Abstract

fetched live from OpenAlex

The purpose of this study was to find a cold-adapted and surfactant-stable alginate lyase as a candidate for biotechnological and industrial applications. The gene for a new alginate lyase, AlyL1, from Agarivorans sp. L11 was cloned and expressed in Escherichia coli. The recombinant AlyL1 was most active at 40°C (1,370 U/mg). It was a cold-adapted alginate lyase, which showed 54.5% and 72.1% of maximum activity at 15°C and 20°C, respectively. AlyL1 was an alkaliphilic enzyme and most active at pH 8.6. In addition, it showed high stability in the presence of various surfactants at a high concentration (from 0.1% to 1% (w/v)). AlyL1 was an endo-type alginate lyase that degraded both polyM and polyG blocks, yielding disaccharides and trisaccharides as the main products. This is the first report of the cloning and functional expression of a cold-adapted and surfactant-stable alginate lyase. AlyL1 might be an interesting candidate for biotechnological and industrial applications.

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.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.039
Threshold uncertainty score0.452

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 head0.007
GPT teacher head0.200
Teacher spread0.193 · 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