Evolution of the Mycobacterial SigK Regulon
Bibliographic record
Abstract
Previous studies have established that members of the Mycobacterium tuberculosis complex exhibit variable production of the antigenic proteins MPT70 and MPT83 due to mutations in their positive regulator, SigK (sigma factor K), and their negative regulator, RskA (regulator of sigma K). To further understand this highly specific SigK-controlled regulon, we have undertaken evolutionary studies to determine the presence of homologues of SigK-regulated genes in other organisms and to predict its transcriptional network. Evolutionary analysis indicates that the positive and negative regulators are conserved across many organisms, but that the genes under their control are variable. Moreover, the addition, loss, and movement of various genes in the mpt70/83 locus suggest that these genes are unlikely to be cotranscribed. To test predictions from sequence analysis, we have used promoter luciferase fusions and Northern blots to show that the majority of genes in this locus have their own promoters, of which a subset are SigK regulated (mpt83, dipZ, mpt70, and Rv0449c). Next, we have shown that the intracellular inducibility of mpt70 and mpt83 is a conserved property, shared between M. tuberculosis and Mycobacterium marinum. In addition, we have shown that SigK and RskA from an environmental mycobacterium isolate (M. gilvum PYR-GCK) complemented the regulatory activity of M. tuberculosis delta sigK rskA. Together, our data indicate that the regulatory system SigK/RskA is conserved across the Mycobacterium genus, whereas the regulon under its control varies considerably across species.
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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 | 0.001 |
| 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".