TaqMan Real-Time PCR Assay for Specific Detection and Differentiation of <i>Xanthomonas translucens</i> pv. <i>undulosa</i> from Other Pathovars Targeting a Recombination Mediator Gene, <i>rec</i>F
Bibliographic record
Abstract
Bacterial leaf streak and black chaff diseases of wheat caused by Xanthomonas translucens pv. undulosa is becoming a major constraint to growers and trade since it is seedborne. Molecular tools for specific detection/differentiation of pv. undulosa are lacking. We report the development of a TaqMan real-time PCR for specific detection/identification of pv. undulosa targeting the recombination mediator gene (recF). Analysis of the complete recF (1,117 bp) sequences identified the gene as a reliable phylogenetic marker for identification of pv. undulosa, differentiating it from the other pathovars; recF-based sequence homology values among the 11 pathovars correlated well with genome-based DNA-DNA hybridization values. The discriminatory power of recF to differentiate pv. undulosa from the other pathovars is due to nucleotide polymorphic positions. We used these nucleotide polymorphisms to develop a TaqMan PCR for specific detection of pv. undulosa. The specificity of the assay was validated using 67 bacterial and fungal/oomycete strains. The selected primers and the double-quenched FAM-labeled TaqMan probe were specific for the detection of 11 pv. undulosa/secalis strains. The 56 strains of other X. translucens pathovars (n = 39) and non-Xanthomonas spp. (n = 17) did not exhibit any detectable fluorescence. Also, greenhouse-inoculated and naturally infected wheat leaf samples showed positive reactions for the presence of pv. undulosa DNA but not healthy control plants. The TaqMan assay reliably detected as low as 1-pg DNA amount and 10 colony forming units of the target pathogen per reaction. This TaqMan assay could be useful to regulatory agencies with economic benefits to wheat growers.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".