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Population dynamics and metabolic activity of Pseudomonas abietaniphila BKME-9 within pulp mill wastewater microbial communities assayed by competitive PCR and RT-PCR

2001· article· en· W1977919013 on OpenAlexaff
Annette F. Muttray, Zhontang Yu, William W. Mohn

Bibliographic record

VenueFEMS Microbiology Ecology · 2001
Typearticle
Languageen
FieldEnvironmental Science
TopicMicrobial Fuel Cells and Bioremediation
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsBiologyPaper millPopulationEffluentMicrobial population biologyActivated sludgeMicrobiologyFood scienceWastewaterBacteriaWaste management

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.531
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.007
GPT teacher head0.199
Teacher spread0.191 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations45
Published2001
Admission routes1
Has abstractyes

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