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Record W2326273816 · doi:10.5897/ajb2015.15089

DNA-based identification of Lentinula edodes strains with species-specific primers

2016· article· en· W2326273816 on OpenAlexaff
L George Pheba, R Sripathi Venkateswara, T Nyaku Seloame, Chandra Govind, V Kantety Ramesh

Bibliographic record

VenueAFRICAN JOURNAL OF BIOTECHNOLOGY · 2016
Typearticle
Languageen
FieldMedicine
TopicFungal Biology and Applications
Canadian institutionsBritish Columbia Rehabilitation Foundation
Fundersnot available
KeywordsLentinulaBiologyFlammulinaPrimer (cosmetics)Grifola frondosaAgaricus bisporusBasidiomycotaMushroomBoletusPolymerase chain reactionFungusLentinusAgaricalesEdible mushroomMicrobiologyBotanyGeneGeneticsChemistry

Abstract

fetched live from OpenAlex

Lentinula edodes is among the five globally cultivated edible mushrooms, which are wood decaying spore bearing Basidiomycetes possessing separate hyphae. Specific identification of this fungus from others in the division Basidiomycota using specific primers enables a fast and accurate detection through polymerase chain reaction (PCR). As a prelude to additional nutritional and sequence characterization research, we have developed a species-specific PCR assay for this fungus after screening four primer-pairs and two universal primer pairs. The primer-pair LE1F/R was specific in amplifications of ATCC-defined L. edodes strains and did not amplify DNA from six medicinally and nutritionally important fungal reference strains, Oyster (Pleurotus ostreatus), Maitake (Grifola frondosa), Enoki (Flammulina velutipes), Baby bella (Agaricus bisporus), Porcini (Boletus edulis), and Chanterelle (Cantharellus cibarius). However, amplifications using the universal primers were positive for all six strains. This assay will therefore serve to validate morphology-based-identifications of L. edodes strains. Key words: Lentinula edodes, LE1F/R, species-specific primers.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.003

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 head0.014
GPT teacher head0.234
Teacher spread0.220 · 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

Citations5
Published2016
Admission routes1
Has abstractyes

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Same venueAFRICAN JOURNAL OF BIOTECHNOLOGYSame topicFungal Biology and ApplicationsFrench-language works237,207