The evolution of «Mycobacterium tuberculosis»: the mycobacterial SigK-RskA regulatory system
Bibliographic record
Abstract
The mycobacteria genus comprises bacteria pathogenic for humans and animals, including M. tuberculosis complex (MTC). In the past decade, considerable research has focused on genomic studies differences between MTC strains and sub-species. These data largely address the devolution of MTC organisms, through a process of reductive genomics and single nucleotide polymorphisms. We hypothesized that these findings present an incomplete evolutionary scenario for the pathogen M. tuberculosis. To test this possibility, we have conducted comparative genomic analysis among sequenced mycobacteria to look for evidence of horizontal gene transfers during the evolution of the genus. Using a bioinformatic screen, we predicted a number of foreign genes acquisitions during the step-wise genesis of M. tuberculosis. Along with others, this study emphasizes another side of the evolution of M. tuberculosis and demonstrates that before the process of genomic decay, M. tuberculosis had acquired foreign genes.
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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 | 0.000 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".