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Aligments used in phylogenetic analyzes

2024· dataset· en· W6939861493 on OpenAlexaboutno aff

Bibliographic record

VenueFigshare · 2024
Typedataset
Languageen
FieldAgricultural and Biological Sciences
TopicMycorrhizal Fungi and Plant Interactions
Canadian institutionsnot available
Fundersnot available
KeywordsThallusPhylogenetic treeLichenPhylogeneticsRibosomal DNAHyphomycetesMorphology (biology)Taxonomy (biology)

Abstract

fetched live from OpenAlex

The diversity of microscopic hyphomycetes is still an ongoing effort and many species remain to be described. While studying lichen organismal composition in western Canada, metatranscriptome data revealed the presence of an unknown species of Retiarius (Orbiliaceae, Ascomycota), a pollen-parasitic fungus with no previous records in the region. We developed genus-specific primers to amplify Retiarius DNA in lichen and adjacent substrate extractions and detected multiple lineages of Retiarius across a wide geographic range. We proceeded to screen accumulations of pollen on the undersurface of lichen thalli to isolate any pollen-associated fungi. Using dilution series and direct-PCR for identification, we isolated two strains of Retiarius with morphology unlike any described member of the genus. Inclusion of DNA from these strains in a multilocus phylogeny using ITS1-5.8S-ITS2 (ITS), partial nuc 28S rDNA (28S) and nuc small subunit (18S) confirmed their evolutionarily distinct position in the genus. We describe these two species here as Retiarius canadensis and R. crescentus, respectively. The former possesses trinacrium-shaped conidia, similar to R. bovicornutus and R. revayae, but morphometrically different; and the latter is distinguished by its canoe-shaped conidia, a morphological character heretofore unknown from Retiarius.

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)0.004
metaresearch head score (Gemma)0.025
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Dataset · Consensus signal: none
Teacher disagreement score0.072
Threshold uncertainty score0.241

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.025
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0080.012
Science and technology studies0.0030.001
Scholarly communication0.0030.002
Open science0.0020.003
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0720.025

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 head0.030
GPT teacher head0.250
Teacher spread0.219 · 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 designNot applicable
Domainnot available
GenreDataset

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
Published2024
Admission routes1
Has abstractyes

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