<i>In silico</i> analysis of secreted proteins via Sec- and Tat-pathways of <i>Clavibacter</i> spp. unravels functional diversity related to plant host range
Bibliographic record
Abstract
Clavibacter genus comprises phytopathogenic and nonphytopathogenic species in a range of plant hosts. We applied structural and functional approaches for comparative genomics to unveil the adaptation of Clavibacter to plant hosts. The structural approach consisted of phylogeny and whole-genome alignment. The phylogeny suggested that Clavibacter tessallarius, Clavibacter zhangzhiyongii, Clavibacter capcisi, Clavibacter phaseoli depicted the more divergent species. Notably, Clavibacter nebraskensis, Clavibacter insidiosus, Clavibacter sepedonicus, Clavibacter sp. A6099, Clavibacter californiensis, and Clavibacter michiganensis formed a recent monophyletic clade. A synteny degree and genome rearrangements were noted. The functional approach based on prediction-annotation of secreted proteins via Sec- and Tat-pathways, and the prediction of metabolite biosynthetic potential. Regarding to Sec- and Tat-secreted proteins, we focused on carbohydrate-active enzymes (CAZymes) and expansins. The repertoire of secreted CAZymes exhibited variation related to taxonomy of Clavibacter. The predicted expansins harbored domain variability, related to horizontal gene transfer. A heterogeneous distribution-conservation of biosynthetic gene clusters (BGCs) regarding Clavibacter phylogeny was observed. Our results suggested that farm practices of plant hosts likely influence the evolutive history of Clavibacter spp. Furthermore, Sec-, Tat-mediated secreted proteins and metabolite diversity may underpin plant– Clavibacter interactions. Biological knowledge drives sustainable strategies aimed to control plant diseases caused by Clavibacter spp.
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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 | 0.001 |
| 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".