Transfer of the Catabolic Plasmid pJP4 in Bacterial Biofilms in Lab-Scale Continuous Flow-Through Cells
Bibliographic record
Abstract
Limited information is available on how external environmental factors (e.g., the type of carbon source) affect biofilm architecture, conjugative transfer of the plasmid pJP4 and xenobiotic degradation in biofilms. The aim of this project was to investigate the influence of glucose and 2,4-dichlorophenoxyacetic acid, two different carbon sources which represent the absence and presence of selective pressure, respectively, on the combined effect of biofilm architecture, transfer of the plasmid pJP4 in soil derived mixed culture biofilms and consequent biodegradation of 2,4-D. The pJP4 plasmid was transferred to soil-derived mixed culture recipients in plate mating experiments and isolated transconjugant colonies were characterized as Comamonas testosteroni. Donor and transconjugant cells were not detected microscopically in biofilms and no transconjugant colonies were isolated; however, gfp, dsRed, and tfdB genes were detected in biofilm effluents with and without selective pressure. Heterogeneous biofilm architecture was observed for both with and without selective pressure.
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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".