<i> <i>Vibrio cholerae</i> </i> biofilm matrix assembly and growth are shaped by a glutamate-specific TAXI/TRAP protein
Bibliographic record
Abstract
Biofilms are critical for the environmental persistence, survival, and infectivity of Vibrio cholerae , the causative agent of cholera. Here, we find that GluP, a glutamate-specific TRAP-TAXI protein, is an uncharacterized matrix component that plays a critical role in biofilm architecture. Loss of GluP reduces biofilm corrugation, expands colony size, and disperses cells from microcolonies, arguing that this factor maintains biofilm structure and organization. While GluP does not affect the abundance or localization of known matrix proteins, its absence reduces Vibrio exopolysaccharide (VPS) production. We determined the crystal structure of GluP, which revealed that GluP binds glutamate, and its biofilm-related phenotypes depend on this binding capability. We further examined the role of GluP in V. cholerae growth under defined conditions where L-glutamate serves as a carbon source, nitrogen source, or both. GluP-deficient strains specifically showed reduced growth when glucose was the carbon source and glutamate the nitrogen source. This defect is dependent on glutamate binding by GluP and highlights its role in coordinating nutrient acquisition and biofilm formation. Importantly, both biofilm assembly and growth defects occurred independently of the predicted membrane component of the Glu TRAP-TAXI system, GluQM. These findings indicate that GluP plays a dual role in biofilm assembly and growth, providing insight into its functional importance in V. cholerae physiology.
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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 | 0.001 |
| 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".