The Fem Cell-surface Signaling System is Regulated by ExsA in <i>Pseudomonas aeruginosa</i> and Affects Pathogenicity
Bibliographic record
Abstract
ABSTRACT Bacterial interspecies interactions shape the function and the structural dynamics of microbial communities and affect the progression of polymicrobial infections. The FemA-FemR-FemI (Fem) cell surface signaling system in Pseudomonas aeruginosa is known to be involved in the uptake of iron-chelating mycobactin produced by the Mycobacterium species. In this report, we present the data that indicates the femA -PA1909 operon was positively regulated by ExsA, a master regulator for the type three secretion system (T3SS), connecting the Fem system with T3SS. Intriguingly, the Fem system also influenced virulence factors in P. aeruginosa, including the quorum sensing systems, pyocyanin production, biofilm formation and the type six secretion systems (T6SSs). Using a Galleria mellonella infection model we observed that an femA deletion in PAO1 significantly increased the host survival rate while femI over-expression decreased it, suggesting a role for the Fem system in bacterial pathogenicity in vivo . Our data indicate the Fem system is a target of the T3SS master activator ExsA, and it affects P. aeruginosa pathogenicity.
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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".