Recombinase Polymerase Amplification Assay for Field Detection of Tomato Bacterial Spot Pathogens
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Bibliographic record
Abstract
Bacterial spot of tomato is caused by Xanthomonas gardneri, X. euvesicatoria, X. perforans, and X. vesicatoria. Current diagnostic methods for the pathogens are not in-field assays. Recombinase polymerase amplification (RPA) is ideal for in-field detection assays, because it is an isothermal technique that is rapid and more tolerant to inhibitors compared with polymerase chain reaction. Hence, novel RPA probes and primers were designed to amplify regions of the hrcN gene of X. gardneri, X. euvesicatoria, and X. perforans. The X. gardneri RPA is specific to X. gardneri with a detection limit of 10 6 CFU/ml and detected X. gardneri in lesions from naturally (n = 6) or artificially (n = 18) infected plants. The X. euvesicatoria RPA detects both X. euvesicatoria and X. perforans with a detection limit of 10 6 CFU/ml and detected both pathogens in plants artificially infected (n = 36) or naturally infected (n = 85) with either X. euvesicatoria or X. perforans. The X. perforans RPA is specific to X. perforans with a detection limit of 10 7 CFU/ml. Although the X. perforans RPA assay was unable to detect X. perforans from lesions, the X. euvesicatoria RPA was successfully used in field to detect X. perforans from symptomatic field samples (n = 31). The X. perforans RPA was then used to confirm the pathogen in the laboratory. The X. euvesicatoria and X. gardneri RPA is promising for rapid, real-time in-field detection of bacterial spot and one of the first developed among plant pathogenic bacteria.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 it