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Record W1971021533 · doi:10.1086/422130

Use of the Black Yeast <i>Phaeococcomyces</i> Fungal Melanin Model System for Preparation of 1,3,6,8‐Tetrahydroxynaphthalene and the Other Components of the DHN Fungal Melanin Pathway

2004· article· en· W1971021533 on OpenAlexafffund
Michael J. Butler, R. B. Gardiner, Alan W. Day

Bibliographic record

VenueInternational Journal of Plant Sciences · 2004
Typearticle
Languageen
FieldMedicine
TopicFungal Biology and Applications
Canadian institutionsWestern University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsYeastMelaninBiologyBiochemistryMutantEnzyme

Abstract

fetched live from OpenAlex

Compounds of the dihydroxynaphthalene (DHN) fungal melanin pathway are in short supply worldwide, especially 1,3,6,8‐tetrahydroxynaphthalene, the chemically unstable starting point of the pathway, and are not commercially available. This is becoming an impediment to physiological survey work in the DHN pathway. We describe the use of our black yeast Phaeococcomyces DHN melanin model system to produce sufficient amounts of 1,3,6,8‐tetrahydroxynaphthalene for physiological studies, using a simple modified culture method that uses an oxygen‐scavenging growth medium containing cysteine and thioglycollate, which is also sealed with an oxygen‐excluding layer of the black yeast. The medium also contains the DHN pathway reductase enzyme inhibitor tricyclazole, which causes excretion of 1,3,6,8‐tetrahydroxynaphthalene and 1,3,8‐dihydroxynaphthalene. The presence of oxygen scavengers and the thick yeast growth prevents oxidation of the hydroxynaphthalenes. Most of the other components of the DHN fungal melanin pathway can be produced using the black yeast or using a scytalone dehydratase negative mutant of the black yeast that accumulates scytalone.

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.049
GPT teacher head0.287
Teacher spread0.238 · 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
Published2004
Admission routes2
Has abstractyes

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