Development and evaluation of a loop-mediated isothermal amplification (LAMP) method for detection of the potato wart pathogen <i>Synchytrium endobioticum</i>
Bibliographic record
Abstract
Abstract Potato ( Solanum tuberosum ) wart, caused by the biotrophic fungal pathogen Synchytrium endobioticum , is a serious disease of cultivated potatoes. A rapid and accurate method for wart diagnosis is needed. In this study, we described the development and evaluation of a loop-mediated isothermal amplification (LAMP) method for the detection of S. endobioticum . Four sets of LAMP primers were designed. Their sensitivity was tested on a gBlock and the specificity of the most sensitive primer set (LAMP1) was verified by in silico analysis and on DNA of non-target species. The LAMP1 primer set showed a detection limit at 7-8 gBlock DNA molecules per reaction. On sensitivity, the LAMP was comparable to qPCR (SYBR green- and probe-based) and about 10 times more sensitive than conventional PCR. Considering the convenience of operation, the LAMP protocol is accurate and robust and should be recommended for the routine lab testing for potato wart.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".