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Evidence for extensive diversity in the pollen-parasitic genus <i>Retiarius</i> in western North America, including two new species associated with lichens

2025· dataset· en· W7084161292 on OpenAlexaboutno aff

Bibliographic record

VenueFigshare · 2025
Typedataset
Languageen
FieldAgricultural and Biological Sciences
TopicPlant-Microbe Interactions and Immunity
Canadian institutionsnot available
Fundersnot available
KeywordsLichenThallusGenusTaxonPhylogeneticsRibosomal DNACharacter evolutionCladePhylogenetic tree

Abstract

fetched live from OpenAlex

Understanding the diversity of microscopic hyphomycetes is an ongoing effort, and many species remain undescribed. While studying lichen organismal composition in western Canada, metagenomic data revealed the presence of an unknown species of Retiarius (Orbiliaceae, Ascomycota), a genus of 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, successfully detecting multiple lineages of Retiarius across a wide geographic range within North America. We proceeded to screen accumulations of pollen on the undersurface of lichen thalli to isolate any pollen-associated fungi. Using dilution series and PCR for identification, we isolated two specifically distinct strains of Retiarius with morphology unlike any described member of the genus. Inclusion of DNA from these strains in a multilocus phylogeny using the internal transcribed spacer regions 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. The former possesses trinacrium-shaped conidia, similar to those of 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)0.000
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: Observational
GenreCandidate signal: Dataset · Consensus signal: none
Teacher disagreement score0.041
Threshold uncertainty score0.082

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.137
GPT teacher head0.303
Teacher spread0.166 · 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
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
Published2025
Admission routes1
Has abstractyes

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