Real‐time <scp>PCR</scp> assays for the detection of <i>Heterobasidion irregulare</i>,<i> H. occidentale, H. annosum</i> sensu stricto and the <i>Heterobasidion annosum</i> complex
Bibliographic record
Abstract
Summary A set of quantitative hierarchical real‐time PCR assays was developed for the detection of Heterobasidion irregulare, H. occidentale, H. annosum sensu stricto and of the entire Heterobasidion annosum complex. These assays enable specific and accurate detection and quantification of the target species from DNA extracted on airborne collected spores. Heterobasidion‐specific TaqMan™ real‐time PCR detection assays were designed to function under homogeneous conditions so that they may be used in 96‐ or 384‐well plate format arrays for high‐throughput testing of large numbers of samples against multiple targets. Assays were validated for (i) specificity, (ii) sensitivity and (iii) repeatability. All assays were highly specific when evaluated against a panel of pure cultures of target and phylogenetically closely related species. Sensitivity, evaluated by assessing the limit of detection (with a threshold of 95% of positive samples), was found to be between one and a hundred ITS gene region copies or one conidia count equivalent. Precision or repeatability of each assay revealed a mean coefficient of variation of 5.9%. These molecular tools are now available for rapid and reliable monitoring of one of the most significant pathogen species complex of temperate northern coniferous forest around the world.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".