Loop-mediated isothermal amplification assay for sensitive and rapid detection of<i>Phytophthora capsici</i>
Bibliographic record
Abstract
Phytophthora capsici is an oomycete plant pathogen that infects peppers, tomatoes, and other agronomic and ornamental crops of the Solanaceae and Cucurbitaceae families worldwide. Early and accurate detection of P. capsici is essential for controlling this disease in the field. The internal transcribed spacer (ITS) regions of nuclear-encoded ribosomal DNA genes are widely used to detect Phytophthora nicotianae, Pythium helicoides and Peronospora variabilis. In this study, a novel and highly sensitive loop-mediated isothermal amplification (LAMP) assay was developed for the specific detection of P. capsici using calcein as a fluorescent indicator. Four LAMP primers were designed based on the ITS sequence of P. capsici. A total of 23 isolates of P. capsici from geographically distinct counties in China yielded positive results in the LAMP assay. No cross-reaction was observed with other oomycetes or fungal pathogens. The detection limit of P. capsici by LAMP was 100 fg genomic DNA per 25 μL reaction. The LAMP assay developed in this study is simple, fast, sensitive and specific, and can be used in the field to detect P. capsici in infected plant tissue.
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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 | 0.000 | 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".