Molecular taxonomy and phylogenetics of Daedaleopsis confragosa (Bolt.: Fr.) J. Schröt. From wild cherry in Serbia
Bibliographic record
Abstract
Daedaleopsis spp., a lignicolous fungus causes of white rot on wild cherry and other broadleaved species and makes economic losses in Serbian forestry. The paper presents results of two morphologically distinct fungi Daedaleopsis confragosa and Daedaleopsis tricolor isolated from native populations of wild cherry (Prunus avium L.) found in the sites of Protected Forests of Serbia. Morphological appearance of D. tricolor was found more abundant in comparison to D. confragosa species. Samples from Serbia were analysed using morphometric and molecular tools and compared with isolates from United Kingdom and published sequences from Sweden, Austria, Hungary, Germany, Canada, France, USA and Czech Republic to give the taxonomic insight and their genetic relatedness using fungal barcoding region ITS rDNA. Results from BLAST search confirmed morphology of the isolates to their taxonomic affiliation as D. confragosa while sequence analysis showed mutations at several polymorphic positions that indicates genetic divergence to D. tricolor. Phylogenetic analysis presents narrow genetic relations of Serbian isolates with the one from United Kingdom while distinctness from other countries investigated specimens. Future work needs variable regions for both species to be amplified in order to evaluate species boundaries or employing NGS technologies in more detailed sequence analyses.
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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) | 0.000 | 0.000 |
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.
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".