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Growth and Cultural-Morphological Characteristics of Vegetative Mycelia of Medicinal Caterpillar Fungus Ophiocordyceps sinensis G.H. Sung et al. (Ascomycetes) Isolates from Tibetan Plateau (P.R.China)

2011· article· en· W2022664483 on OpenAlexaff
Gayane S. Barseghyan, John C. Holliday, Thomas C. Price, Leah M. Madison, Solomon P. Wasser

Bibliographic record

VenueInternational journal of medicinal mushrooms · 2011
Typearticle
Languageen
FieldMedicine
TopicFungal Biology and Applications
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsMyceliumCordycepsBiologyPotato dextrose agarFungusNutrient agarBotanyAgarNutrientHypocrealesAgar plateAscomycotaBacteriaEcologyGene

Abstract

fetched live from OpenAlex

The morphological and cultural characteristics of vegetative mycelia of 29 Tibetan strains of medicinal caterpillar fungus Ophiocordyceps sinensis (= Cordyceps sinensis) were studied. Data on mycelial growth of the above-mentioned fungi strains on different types of nutrients, the macro- and micromorphological description of colonies grown on different agar media, and anamorph stage identification are provided. It was shown that strains of O. sinensis demonstrated moderately slow growth on selected nutrients compared with other ascomycetous fungi. The highest growth rate value from all analyzed strains is O. sinenis N14-2.7 mm/day was completed with a mycelial run on potato-dextrose agar (pH = 6.0) in 15 d. Most of the examined strains preferred Sabouraun’s dextrose agar; some of the strains preferred potato-dextrose agar as the medium for optimal development. The least favorable nutrient for all strains was Czapek solution agar. Analyses of morphological and microstructural peculiarities on different types of nutrients were conducted and detailed descriptions and illustrations were provided. Based on macro- and micromorphological characteristics, the investigated strains were identified as Hirsutella sinensis and Tolypocladium sinensis species, which were identified as the anamorphs of Ophiocordyceps sinensis.

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 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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.635
Threshold uncertainty score0.710

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.024
GPT teacher head0.295
Teacher spread0.271 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations28
Published2011
Admission routes1
Has abstractyes

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