Rapid detection and identification of the bacterium Pantoea stewartii in maize by TaqMan<sup>®</sup>real-time PCR assay targeting the cpsD gene
Bibliographic record
Abstract
AIMS: The development and evaluation of a sensitive and specific TaqMan real-time polymerase chain reaction (PCR) for the detection and identification of Pantoea stewartii on maize. METHODS AND RESULTS: A TaqMan-based real-time PCR assay targeting the cpsD gene enabling specific detection of P. stewartii in maize leaves and seeds was developed. Under optimal conditions, the selected primers and probe were specific for the detection of all 14 reference P. stewartii strains by real-time PCR. The 32 non-Panteoa and eight other Pantoea strains tested negative. The TaqMan PCR assay detected 1 pg of purified DNA and 10(4)P. stewartii colony forming units per millilitre (10 cells per reaction) in pure cultures consisting of 92.0% intact (viable) cells. Direct processing of leaf lesions and seeds by the real-time PCR detected 10 and 50 P. stewartii cells per reaction respectively. TaqMan real-time PCR results were validated by dilution plating of macerates and PCR-based subcloning followed by DNA sequencing. CONCLUSIONS: The real-time PCR assay described is a rapid, reliable and more sensitive tool for the detection of P. stewartii. SIGNIFICANCE AND IMPACT OF THE STUDY: This real-time PCR assay would avoid false-negative results and reduce the time required for certifying maize seed shipments.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 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".