Gene flow, recombination, and positive selection in <i>Stenotrophomonas maltophilia</i>: mechanisms underlying the diversity of the widespread opportunistic pathogen
Bibliographic record
Abstract
Stenotrophomonas maltophilia is a global multidrug-resistant human opportunistic pathogen in clinical environments. Stenotrophomonas maltophilia is also ubiquitous in aqueous environments, soil, and plants. Various molecular typing methods have revealed that S. maltophilia exhibits high levels of phenotypic and genotypic diversity. However, information regarding the genomic diversity within S. maltophilia and the corresponding genetic mechanisms resulting in said diversity remain scarce. The genome sequences of 17 S. maltophilia strains were selected to investigate the mechanisms contributing to genetic diversity at the genome level. The core and large pan-genomes of the species were first estimated, resulting in a large, open pan-genome. A species phylogeny was also reconstructed based on 344 orthologous genes with one copy per genome, and the contribution of four evolutionary mechanisms to the species genome diversity was quantified: 15%-35% of the genes showed evidence for recombination, 0%-25% of the genes in one genome were likely gained, 0%-44% of the genes in some genomes were likely lost, and less than 0.3% of the genes in a genome were under positive selection pressures. We observed that, among the four main mechanisms, homologous recombination plays a key role in maintaining diversity in S. maltophilia. In this study, we provide an overview of evolution in S. maltophilia to provide a better understanding of its evolutionary dynamics and its relationship with genome diversity.
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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".