Phylogenomic Insights on the <i>Xanthomonas translucens</i> Complex, and Development of a TaqMan Real-Time Assay for Specific Detection of pv. <i>translucens</i> on Barley
Bibliographic record
Abstract
The reemergence and spread of Xanthomonas translucens, the causal agent of bacterial leaf streak in cereal crops and wilt in turfgrass and forage species, is a concern to growers in the United States and Canada. The pathogen is seedborne and listed as an A2 quarantine organism by EPPO, making it a major constraint to international trade and exchange of germplasm. The pathovar concept of the X. translucens group is confusing due to overlapping of plant host ranges and specificity. Here, comparative genomics, phylogenomics, and 81 up-to-date bacterial core gene set (ubcg2) were used to assign the pathovars of X. translucens into three genetically and taxonomically distinct clusters. The study also showed that whole genome-based digital DNA–DNA hybridization unambiguously can differentiate the pvs. translucens and undulosa. Orthologous gene and proteome matrix analyses suggest that the cluster consisting of graminis, poae, arrhenatheri, phlei, and phleipratensis is very divergent. Whole-genome data were exploited to develop the first pathovar-specific TaqMan real-time PCR tool for detection of pv. translucens on barley. Specificity of the TaqMan assay was validated using 62 Xanthomonas and non- Xanthomonas strains as well as growth chamber-inoculated and naturally infected barley leaves. Sensitivity levels of 0.1 pg (purified DNA) and 23 CFUs per reaction (direct culture) compared favorably with other previously reported real-time PCR assays. The phylogenomics data reported here suggest that the clusters could constitute novel taxonomic units or new species. Finally, the pathovar-specific diagnostic tool will have significant benefits to growers and facilitate international exchange of barley germplasm and trade.
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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".