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Record W2316200340 · doi:10.1515/bot-2012-0224

Isolation and bioassay screening of fungal endophytes from North Atlantic marine macroalgae

2013· article· en· W2316200340 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

VenueBotanica Marina · 2013
Typearticle
Languageen
FieldMedicine
TopicMicrobial Natural Products and Biosynthesis
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsBiologyBioassayMarine fungiBotanyIsolation (microbiology)AlgaeAntimicrobialPlant use of endophytic fungi in defenseMarine bacteriophageBacteriaEndophyteMicrobiologyEcology

Abstract

fetched live from OpenAlex

Abstract Endophytic fungi of marine macroalgae and the bioactive chemicals they produce have not been widely explored or documented. In this study, fungal endophytes were isolated from four species of brown, three species of red, and two species of green marine algae collected from the Shetland Islands, UK. Sixty-four distinct endophytes were isolated, 36 of which were identified to the genus or species level, with the highest diversity of isolable fungi being obtained from the green algae. Extracts of fungal tissue and spent nutrient broth were prepared from each isolate and screened for bioactivity. Antimicrobial and larvicidal assays revealed that the extracts from 24 endophytes showed antifungal activity, 25 displayed activity against Gram-positive bacteria, 20 showed activity against Gram-negative bacteria, and 11 showed larvicidal activity.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.291
Threshold uncertainty score1.000

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)0.0010.000

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 head0.010
GPT teacher head0.207
Teacher spread0.196 · 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