Whole-Genome Resources and Species-Level Taxonomic Validation of 89 Plant-Pathogenic <i>Xanthomonas</i> Strains Isolated from Various Host Plants
Bibliographic record
Abstract
Bacterial spot disease caused by Xanthomonas spp. is a global threat to tomato and pepper plants. A recent classification of these pathogens indicated the need for a diverse dataset of whole-genome resources. We report whole-genome resources of 89 Xanthomonas strains isolated from Canada (n = 44), the United States (n = 29), Argentina (n = 4), Brazil (n = 3), Costa Rica (n = 3), New Zealand (n = 1), Australia (n = 1), Mexico (n = 1), Taiwan (n = 1), Thailand (n = 1), and unknown (n = 1). Of these strains, 48 were previously identified to species-level based on nongenome-based approaches while 41 strains were classified only at the genus level. The average coverage of the sequencing reads was 103×. The draft genome sizes ranged from 4.53 to 5.46 Mbp with a G + C content of 63.53 to 67.78% and comprised 4,233-5,178 protein-coding sequences. Using average nucleotide identity (ANI) and genome-based DNA-DNA hybridization (gDDH) values, the taxonomic classifications were validated for 38 of the 48 strains previously assigned to species level using other methods. Ten strains previously identified as Xanthomonas campestris, X. axonopodis, X. vasicola, and X. arboricola were incorrectly assigned, and new species-level delineations are proposed. Data from ANI, gDDH, and pangenome phylogeny of shared protein families were used to assign the 41 strains, previously identified only to genus level, into five distinct species: X. euvesicatoria (pv. euvesicatoria or pv. perforans), X. hortorum pv. gardneri, X. vesicatoria, X. campestris, and X. arboricola. These 89 whole-genome sequences of Xanthomonas strains, the majority (49.4%) of which are from Canada, could be useful resources in our understanding of the global population structure and evolution of these pathogens.
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 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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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".