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Record W4388621647 · doi:10.11646/phytotaxa.625.3.5

Piptoporellus taiwanensis sp. nov. (Polyporales, Fomitopsidaceae) from Taiwan and its phytochemistry

2023· article· en· W4388621647 on OpenAlexaff
Chia‐I Jen, MING-NAN LAI, Hiran A. Ariyawansa, Asanka R. Bandara, Lean‐Teik Ng

Bibliographic record

VenuePhytotaxa · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicLichen and fungal ecology
Canadian institutionsKane Biotech (Canada)
Fundersnot available
KeywordsBiologyBotanyInternal transcribed spacerCladePhylogeneticsRibosomal RNAGeneBiochemistry

Abstract

fetched live from OpenAlex

Piptoporellus is a recently proposed genus placed under Fomitopsis-like taxa in the Antrodia clade. Four species of Piptoporellus are known, of which three are distributed in China, and one in Africa. A specimen collected around Sun Moon Lake, Nantou County, Taiwan proved to be the first documentation of Piptoporellus in Taiwan. Based on morpho-molecular data, a new species, Piptoporellus taiwanensis, is introduced. In a multi-gene. phylogeny of nuclear ribosomal internal transcribed spacer (nrITS) region, large subunit RNA gene (nrLSU), small subunit RNA gene (nrSSU), and translation elongation factor 1-α gene (tef1-α), the novel taxon formed a distinct clade sister to P. hainanensis and P. triqueter. Phenotypically our strain differs from other Piptoporellus species in having yellow to orange pileus, buff to yellow pore surface, thin-walled basidiospores, and a dimitic hyphal system. Chemical analysis showed that this novel species contained about 3.878 g of total polysaccharides, 112.9 mg of total phenols, 182.9 mg of total flavonoids, 34.33 mg of total triterpenoids, and trace amounts of alkaloids per 100 g of dried fruiting bodies. This study has shed light on the diversity of Piptoporellus taxa in Taiwan and has also shown that this novel species contains significant amounts of polysaccharides, polyphenols, and triterpenoids.

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)0.000
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.800
Threshold uncertainty score0.920

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)0.0010.001

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 head0.020
GPT teacher head0.213
Teacher spread0.193 · 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 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

Citations0
Published2023
Admission routes1
Has abstractyes

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