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Record W4412847740 · doi:10.3114/persoonia.2025.55.04

A multilocus phylogeny of <i>Hericium</i> ( <i>Hericiaceae, Russulales</i> )

2025· article· en· W4412847740 on OpenAlexaff
J. Koga, R. Greg Thorn, Ewald Langer

Bibliographic record

VenuePersoonia - Molecular Phylogeny and Evolution of Fungi · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMycorrhizal Fungi and Plant Interactions
Canadian institutionsWestern University
Fundersnot available
KeywordsPhylogeneticsBiologyEvolutionary biologyZoologyGenetics

Abstract

fetched live from OpenAlex

Clear distinction of the species of Hericium will aid in natural products discovery, medicinal applications, and breeding for commercial cultivation of these edible and medicinally valuable mushrooms. A phylogeny of Hericium species from North America, together with key taxa from Europe, was accomplished using sequence data from the nuclear ribosomal internal transcribed spacer (ITS) region and adjacent large ribosomal subunit (LSU), translation elongation factor 1-alpha ( TEF-1α ), and RNA polymerase second largest subunit ( RPB2 ) gene sequences. Compared to previous unresolved phylogenies based solely on ITS data, the species of Hericium were resolved as monophyletic groups, including the type species H. coralloides (synonyms and H. ramosum ; Europe and North America), H. alpestre (Europe to central Asia), H. americanum (eastern North America), H. abietis (western North America), H. cirrhatum (Europe and boreal-montane North America), H. erinaceus (Europe), two recently described species of the H. erinaceus species complex, H. asiaticum (Eastern Asia) and H. carolinense (eastern United States), and a third new species in this complex from western North America, H. oregonense described herein. All taxa, including the newly described species within the H. erinaceus complex, were strongly supported in maximum likelihood analyses.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.004
GPT teacher head0.195
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 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

Citations3
Published2025
Admission routes1
Has abstractyes

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