A comprehensive comparison of assays for detection and identification of <i>Ralstonia solanacearum</i> race 3 biovar 2
Bibliographic record
Abstract
AIMS: To determine the reliable combination of protocols for specific detection and identification of R. solanacearum race 3 biovar 2 (R3bv2) through a comprehensive comparison among currently available techniques. METHODS AND RESULTS: Sensitivity and specificity of the conventional isolation, bioassay, serological assays, conventional and real-time PCR and multiplex PCR were assessed for the detection of 25 strains of R. solanacearum biovars 1, 2 and 3 (Phylotypes I, II, III and IV) in spiked potato saps. Results indicated that all assays evaluated varied in complexity and sensitivity and should be applied strategically in indexing schemes to maximize efficiency of testing without compromising accuracy of the results. CONCLUSIONS: The TaqMan PCR assay, with an internal reaction control and confirmation by melting curve and electrophoretic analysis, achieved best sensitivity at 10(2) -10(3 ) CFU ml(-1) for all eighteen strains of R. solanacearum R3bv2. Selective enrichment on mSMSA medium plates enhanced the detection sensitivity up to 10-100 CFU ml(-1) for the conventional PCR-based assays. SIGNIFICANCE AND IMPACT OF THE STUDY: This is the first time nine different assays were compared side by side for their sensitivity and specificity in detection and identification of R. solanacearum R3bv2. The data accumulated here will provide basis for regulatory applications for low level detection and rapid identification of latently infections caused by R. solanacearum R3bv2.
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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 | 0.006 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 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 | 0.001 |
| 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".