Population dynamics and metabolic activity of Pseudomonas abietaniphila BKME-9 within pulp mill wastewater microbial communities assayed by competitive PCR and RT-PCR
Bibliographic record
Abstract
Resin acids contribute to the acute toxicity of pulp and paper mill effluent. We monitored the abundance and metabolic activity of the resin acid degrader, Pseudomonas abietaniphila BKME-9, within complex communities of laboratory-scale effluent treatment systems using competitive PCR and competitive RT-PCR, targeting the 16S rDNA and rRNA. In continuous culture, a positive linear relationship was found between the rRNA:rDNA ratio and specific growth rate of BKME-9. In batch culture, the rRNA:rDNA ratio peaked briefly during early exponential growth of BKME-9. During continuous growth of an activated sludge community inoculated with BKME-9, the rRNA:rDNA ratio of BKME-9 decreased when the community was stressed with an alkaline pH shock. After the pH shock, the metabolic activity and population of BKME-9 recovered concomitantly with recovery of resin acid removal activity in the system. Thus, BKME-9 has characteristics that could be useful for bioaugmentation of biotreatment systems, and it is possible to monitor the population and activity of BKME-9 in such complex systems.
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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 | 0.001 |
| 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".