Miniprimer PCR assay targeting multiple genes: a new rapid and reliable tool for genotyping<i>Pantoea stewartii</i>subsp.<i>stewartii</i>
Bibliographic record
Abstract
AIM: Development of a 'miniprimer' PCR assay for genotyping Pantoea stewartii subsp. stewartii, the causal agent of the Stewart's bacterial wilt on maize. METHODS AND RESULTS: Four 10-nucleotide (10-nt) 'miniprimer' sets were designed and evaluated in the presence of Titanium Taq DNA polymerase. Under optimal reaction conditions, the miniprimer pair Uni-BacF-10/Uni-BacR-10 reproducibly generated identical banding patterns among 10 strains of P. stewartii subsp. stewartii, different patterns from strains of P. stewartii subsp. indologenes, other Panteoa species, Clavibacter michiganensis, Pectobacterium spp., Pseudomonas spp. and other bacterial species. The amplicons of Pantoea stewartii subsp. stewartii were cloned and sequenced to identify genes or DNA fragments that are targeted by the miniprimer PCR assay. Of the 14 'clone types' identified, sequences of a 1.23-kb fragment had a 99.8% similarity to part of the Pantoea stewartii zeaxanthin diglucoside biosynthetic operon (AY166713). Other dominant cloned fragments included a 411-bp amplicon that exhibited 99.8% similarity to the psaU gene (syn:ysaU; GQ249669), a type III protein-secretion system complex of P. stewartii subsp. stewartii strain DC283, and a 548-bp fragment showed 63% homology to the Asp/Glu racemase encoding gene in Erwinia tasmaniensis strain ET1/99. CONCLUSION: The miniprimer PCR assay reported here is highly discriminatory and reproducible in genotyping Pantoea stewartii subsp. stewartii. SIGNIFICANCE AND IMPACT OF THE STUDY: This miniprimer PCR assay could be a new reliable and rapid tool for fingerprinting the Stewart's wilt pathogen of maize.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".