<i>In situ</i>evidence for metabolic and chemical microdomains in the structured polymer matrix of bacterial microcolonies
Bibliographic record
Abstract
CLSM and fluorescent probes were applied to assess the structure, composition, metabolic activity and gradients within naturally occurring β-proteobacteria microcolonies. Extracellular polymeric substances (EPS) as defined by lectin-binding analyses had three regions: (i) cell associated, (ii) intercellular and (iii) an outer layer covering the entire colony. We assessed structural, microenvironmental and metabolic implications of this complex EPS structure. Permeability studies indicated that the outer two layers were permeable to 20 nm beads, intercellular EPS to <40 nm beads and the outer layer was permeable to <100 nm beads. Phosphatase activity occurred at the cell surface and associated polymer. Glucose oxidase activity was only detected inside the cells and the cell-associated polymer. Rhodamine 123 suggested that activity was highest near the cell surface. The potential sensitive dye JC-1 concentrated within the outer EPS layer and the gradient was responsive to inhibition by KCN, dispersion using KCl and enhanced by addition of nutrients (nutrient broth). pH gradients occurred from the cell interior (pH 7) to the microcolony interior (pH 4+) with a gradient of increasing pH (pH 7+) to the colony exterior. The EPS provides a physical and chemical structuring mechanism forming microdomains that segregate extracellular activities at the microscale, possibly resulting in a microcolony with unitary structure and function.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".