Rapid detection of <scp><i>Hymenoscyphus fraxineus</i></scp> using genome‐specific primers based on loop‐mediated isothermal amplification assay
Bibliographic record
Abstract
BACKGROUND: Ash dieback, caused by Hymenoscyphus fraxineus (T. Kowalski) Baral, Queloz & Hosoya, is a serious fungal disease affecting Common ash (Fraxinus excelsior) populations across Europe and posing a global risk to ash trees worldwide. Traditional polymerase chain reaction (PCR)-based detection methods often target conserved gene regions, limiting the development of species-specific probes. However, the increasing availability of whole-genome sequences for H. fraxineus and its close relatives enables the identification of unique genes or genomic regions. RESULTS: This study utilized such genomic data to develop a sensitive, species-specific loop-mediated isothermal amplification (LAMP) assay for detecting H. fraxineus in Fraxinus mandshurica samples. The LAMP assay demonstrated a sensitivity of 2.53 fg/μL and proved effective in early detection of the pathogen. CONCLUSION: Altogether the developed LAMP detection method could be quite useful for further studies on the characteristics of the life cycle and colonization process of H. fraxineus in Asian ash host species. © 2025 Society of Chemical Industry.
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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 | 0.000 |
| 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 | 0.000 |
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 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".