A small RNA derived from the 5’ end of the IS200 <i>tnpA</i> transcript regulates multiple virulence regulons in <i>Salmonella</i> Typhimurium
Bibliographic record
Abstract
Abstract The insertion sequence IS200 is widely distributed in Eubacteria. Despite its wide-ranging occurrence, IS200 does not appear to be mobile and as such is considered an ancestral component of bacterial genomes. Previous work in Salmonella enterica revealed that the IS200 tnpA transcript is processed to form a small highly structured RNA ( 5’tnpA ) that participates in the post-transcriptional control of invF expression, encoding a key transcription factor in this enteropathogen’s invasion regulon. To further examine the scope of 5’tnpA transcript integration into Salmonella gene expression networks, we performed comparative RNA-seq revealing the differential expression of over 200 genes in a Salmonella SL1344 5’tnpA disruption strain. This includes the genes for the master regulators of both invasion and flagellar regulons (HilD and FlhDC, respectively), plus genes involved in cysteine biosynthesis (cysteine regulon) and an operon ( phsABC ) encoding a thiosulfate reductase complex. These expression changes were accompanied by an 80-fold increase in Salmonella invasion of HeLa cells. Likewise, a phsABC disruption strain was associated with an increased invasion specifically under anaerobic growth conditions. Based on these findings, we propose that early induction of invasion and motility regulons in the absence of 5’tnpA causes a metabolic stress resulting in cysteine limitation and activation of CysB, which turns down expression of the phsABC operon to increase the flux of thiosulfate in the media towards cysteine production. Taken together, this study provides a powerful new example of bacterial transposon domestication that is based not on the production of a regulatory protein, but of a transposon-derived small RNA.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".