Ophiostomatales associated with wounds on hardwood trees in Poland
Bibliographic record
Abstract
Wounds on trees provide entrance for many members of the Ophiostomatales (Ascomycota), including economically damaging tree pathogens. Because very little is known regarding wound‐associated fungi on hardwoods in Europe or their potential nitidulid beetle vectors (Coleoptera), the aim of this survey was to explore the diversity of these fungi in Poland. Wound samples associated with 26 tree species were collected from 18 stands in Poland. Fungi belonging to the Ophiostomatales were isolated and identified based on morphology and DNA sequence comparisons of five gene regions, combined with phylogenetic analyses. In total, 32 taxa were identified, including 20 known and 12 currently undescribed species. In addition, Grosmannia cainii , Ophiostoma cf. ponderosae , O. sparsiannulatum and Sporothrix aurorae were reported for the first time outside of the USA. The wound‐associated members of the Ophiostomatales recovered from hardwoods showed high diversity and specificity. Among the species recovered, 16 belonged to Sporothrix , 11 represented Ophiostoma s. l. , five could be assigned to Leptographium s. l. , and one Graphilbum species was detected. Among the studied tree species, wounds on Quercus robur appeared to be the most vulnerable to infection by members of the Ophiostomatales. All the nitidulid beetle species were found in association with species assignable to Ophiostoma and Sporothrix . This study detected a significant association between the occurrence of species belonging to the Ophiostomatales and the health status of the wounded trees. Some of the isolated species were host specific although Ophiostoma quercus , the most frequently encountered species, had a broad host range.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".