A Bacterial Pathogen Senses Host Mannose to Coordinate Virulence
Bibliographic record
Abstract
Bacterial pathogens are thought to activate expression of virulence genes upon detection of host-associated cues, but identification of the nature of such signals has proved difficult. We generated a genome-scale defined transposon mutant library in Edwardsiella piscicida, an important fish pathogen, to quantify the fitness of insertion mutants for intracellular growth in macrophages and in turbot (Scophthalmus maximus). These screens identified EvrA, a transcription activator that induces expression of esrB, a key virulence regulator. EvrA is directly bound and activated by mannose-6-phosphate (man-6P) derived from actively imported mannose. Mutants lacking EvrA or expressing an EvrA unable to bind man-6P were similarly attenuated in turbot. Exogenously added mannose promoted E. piscicida virulence, and high levels of mannose were detected in fish tissue. Together, these observations reveal that binding of a host-derived sugar to a transcription factor can facilitate pathogen sensing of the host environment and trigger virulence programs.
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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 | 0.000 | 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) | 0.001 | 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 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".