Development and Evaluation of a Loop-Mediated Isothermal Amplification (LAMP) Method for Detection of the Potato Powdery Scab Pathogen <i>Spongospora subterranea</i>
Bibliographic record
Abstract
Spongospora subterranea is the causal agent of powdery scab of potato (Solanum tuberosum), which can significantly reduce potato quality. In this study, we developed and evaluated a loop-mediated isothermal amplification (LAMP) method for the detection of S. subterranea. A set of LAMP primers named PS-LAMP was designed and tested for specificity and sensitivity. In the specificity test, in silico analysis using the NCBI Primer-BLAST tool indicated that PS-LAMP was specific to S. subterranea. The in vitro tests confirmed specificity, showing that PS-LAMP could produce positive signals from DNA isolated from each of three potato tubers with powdery scab symptoms but did not produce positive signals from DNA isolated from 38 nontarget plant pathogens. The sensitivity of PS-LAMP was tested on both gBlocks and DNA isolated from potato samples with powdery scab symptoms. On gBlocks, the lowest number of copies for a positive LAMP reaction was six, which was similar to results obtained via qPCR, but it was 10 times more sensitive than conventional PCR. On a DNA sample from S. subterranea-infected potato, the lowest amount of template DNA for a positive LAMP reaction was 2 pg, which was incomparable with the sensitivity of qPCR. Considering the convenience of the LAMP technique, as well as the high specificity and sensitivity, this assay can be very useful for plant pathology practitioners and diagnostic labs interested in rapid, accurate, and routine detection of S. subterranea and confirmation of powdery scab disease.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".