Lateral gene transfer in <i>Mycobacterium avium</i> subspecies <i>paratuberculosis</i>
Bibliographic record
Abstract
Lateral gene transfer is an integral part of genome evolution in most bacteria. Bacteria can readily change the contents of their genomes to increase adaptability to ever-changing surroundings and to generate evolutionary novelty. Here, we report instances of lateral gene transfer in Mycobacterium avium subsp. paratuberculosis, a pathogenic bacteria that causes Johne's disease in cattle. A set of 275 genes are identified that are likely to have been recently acquired by lateral gene transfer. The analysis indicated that 53 of the 275 genes were acquired after the divergence of M. avium subsp. paratuberculosis from M. avium subsp. avium, whereas the remaining 222 genes were possibly acquired by a common ancestor of M. avium subsp. paratuberculosis and M. avium subsp. avium after its divergence from the ancestor of M. tuberculosis complex. Many of the acquired genes were from proteobacteria or soil dwelling actinobacteria. Prominent among the predicted laterally transferred genes is the gene rsbR, a possible regulator of sigma factor, and the genes designated MAP3614 and MAP3757, which are similar to genes in eukaryotes. The results of this study suggest that like most other bacteria, lateral gene transfers seem to be a common feature in M. avium subsp. paratuberculosis and that the proteobacteria contribute most of these genetic exchanges.
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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 | 0.001 | 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) | 0.001 | 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".