Molecular data support establishment of a new genus for the lichenicolous species<i>Neobarya usneae</i>(Hypocreales)
Bibliographic record
Abstract
Neobarya usneae Etayo is a relatively uncommon lichenicolous fungus that forms distinctive obpyriform ascomata on species of Usnea. The species is one of five known lichenicolous species in Neobarya, a genus established in the Clavicipitaceae that contains a variety of mycoparasitic species. The only molecular data for Neobarya species available in GenBank are for unidentified Neobarya species. We obtained sequences of ITS and nrLSU representing a culture and herbarium specimens of N. usneae from New Brunswick, Canada, and from a herbarium specimen of N. parasitica (Fuckel) Lowen, the type species of the genus, collected in Luxembourg, to determine the phylogenetic placement of these species. Our results indicate that N. usneae is not closely related to the type of Neobarya in the Clavicipitaceae, but is instead a member of the Hypocreaceae, the first lichenicolous species known for certain from this Hypocrealean family. Based on these results, we are now establishing a new genus, Lichenobarya, for N. usneae in the Hypocreaceae, and encouraging further study of other Neobarya species to establish their phylogenetic relationships, given the potential for genetic heterogeneity in the group.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".