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Record W2755021067 · doi:10.1021/acs.jafc.7b03556

Isolation and Characterization of a Novel, Highly Selective Astaxanthin-Producing Marine Bacterium

2017· article· en· W2755021067 on OpenAlexaff
Dalal Asker

Bibliographic record

VenueJournal of Agricultural and Food Chemistry · 2017
Typearticle
Languageen
FieldEnergy
TopicAlgal biology and biofuel production
Canadian institutionsUniversity of Toronto
FundersAsahi Kasei Pharma Corporation
KeywordsAstaxanthinCarotenoidBacteria16S ribosomal RNAStrain (injury)BiologyHigh-performance liquid chromatographyChemistryFood scienceMicrobiologyBiochemistryChromatography

Abstract

fetched live from OpenAlex

A high-throughput screening approach for astaxanthin-producing bacteria led to the discovery of a novel, highly selective astaxanthin-producing marine bacterium (strain N-5). Phylogenetic analysis based on partial 16S rRNA gene and phenotypic metabolic testing indicated it belongs to the genus Brevundimonas . Therefore, it was designated as Brevundimonas sp. strain N-5. To identify and quantify carotenoids produced by strain N-5, HPLC-DAD and HPLC-MS methods were used. The culture conditions including media, shaking, and time had significant effects on cell growth and carotenoids production including astaxanthin. The total carotenoids were ∼601.2 μg g –1 dry cells including a remarkable amount (364.6 μg g –1 dry cells) of optically pure astaxanthin (3S, 3′S) isomer, with high selectivity (∼60.6%) under medium aeration conditions. Notably, increasing the culture aeration enhanced astaxanthin production up to 85% of total carotenoids. This is the first report that describes a natural, highly selective astaxanthin-producing marine bacterium.

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)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.000
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 head0.009
GPT teacher head0.201
Teacher spread0.191 · 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

Citations62
Published2017
Admission routes1
Has abstractyes

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