A High-Quality Genome Resource for the Oak Wilt Pathogen <i>Bretziella fagacearum</i>
Bibliographic record
Abstract
Bretziella fagacearum is a destructive vascular wilt fungal pathogen affecting oaks in the United States and Canada. The epidemiology of oak wilt varies across different geographical locations, indicating the need to investigate the population dynamics of B. fagacearum to discern potential differences in its genotypes using genomic tools. A good-quality genome of B. fagacearum is crucial as a reference for population genetics studies. Here, we report a high-quality genome of B. fagacearum isolate C519. The genome assembly consists of nine scaffolds, corresponding to the nine chromosomes, totaling 27,072,536 bp with a GC content of 47.29%. It is predicted to encode 7,554 proteins, which are annotated using RNA sequencing data from the same isolate. The circular mitochondrial genome consists of a chromosome of 174,403 bp with a GC content of 28.59% and contains 54 open reading frames, including 14 core genes, 28 tRNAs, 4 rRNAs, and 8 hypothetical proteins. The reference genome can enhance the understanding of molecular epidemiology and biology of B. fagacearum, aiding in identifying genetic variations and pathogen–host interactions and developing diagnostic tools and disease management strategies. [Formula: see text] The author(s) have dedicated the work to the public domain under the Creative Commons CC0 “No Rights Reserved” license by waiving all of his or her rights to the work worldwide under copyright law, including all related and neighboring rights, to the extent allowed by law, 2025.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 0.014 |
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".