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Record W2091581640 · doi:10.1139/w09-002

<i>Pseudomonas fluorescens ompW</i>: plasmid localization and requirement for naphthalene uptake

2009· article· en· W2091581640 on OpenAlexvenueno aff
Tracy M. Neher, Donald R. Lueking

Bibliographic record

VenueCanadian Journal of Microbiology · 2009
Typearticle
Languageen
FieldEnvironmental Science
TopicMicrobial bioremediation and biosurfactants
Canadian institutionsnot available
Fundersnot available
KeywordsSuppression subtractive hybridizationPseudomonas fluorescensBiologyEffluxcDNA libraryGenePorinPlasmidComplementary DNAPseudomonasMutantCatabolismBiochemistryMicrobiologyEscherichia coliMolecular biologyBacteriaGeneticsBacterial outer membraneMetabolism

Abstract

fetched live from OpenAlex

Suppressive subtractive hybridization has been utilized to generate a cDNA library of genes differentially expressed in naphthalene grown cells of Pseudomonas fluorescens. The library was devoid of genes known to be associated with naphthalene catabolism, but was enriched in genes related to cellular uptake and efflux systems. The gene for OmpW, which was present in the cDNA library and has been proposed to encode a porin for the transport of hydrophobic molecules, was isolated, cloned, and sequenced. This gene was shown to be exclusively localized on a large catabolic plasmid possessed by the organism, and its specific mutation resulted in the loss of the organism's ability to grow on naphthalene and several other polycyclic aromatic hydrocarbons. It is proposed that a primary response by P. fluorescens to the presence of naphthalene is the elevation of the cellular mechanism(s) required for its assimilation. The presence of genes related to the uptake and efflux mechanisms present following suppressive subtractive hybridization supports this proposal.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.012
GPT teacher head0.212
Teacher spread0.200 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations33
Published2009
Admission routes1
Has abstractyes

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