Plasmid-Mediated Bioaugmentation of Wastewater Microbial Communities in a Laboratory-Scale Bioreactor
Bibliographic record
Abstract
Xenobiotic degradation during biological wastewater treatment can be established or enhanced by bioaugmentation - the addition of biological agents carrying biodegradation genes required to perform the task. Whereas the addition of microbial cells carrying chromosomally encoded catabolic genes can be impaired by limited survival of the added microorganisms, the addition of donor organisms carrying a transmissible catabolic plasmid is a promising alternative. This plasmid can spread within the indigenous microbial community of the system, circumventing the need for extended survival of the introduced bacterial strain. Here we discuss how the catabolic plasmid pNB2 can be evaluated towards its potential to facilitate the degradation of a xenobiotic compound, 3-chloroaniline, and demonstrate the applicability of this plasmid to accomplish 3-chloroaniline degradation in a bioreactor setting after in situ transfer to suitable recipient strains.
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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 | 0.001 | 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".