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Record W2136242626 · doi:10.1093/jac/dkr519

Growth phase-dependent expression of RND efflux pump- and outer membrane porin-encoding genes in Acinetobacter baumannii ATCC 19606

2011· article· en· W2136242626 on OpenAlexaff
Dinesh M. Fernando, Ayush Kumar

Bibliographic record

VenueJournal of Antimicrobial Chemotherapy · 2011
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBacterial Genetics and Biotechnology
Canadian institutionsOntario Tech University
Fundersnot available
KeywordsPorinAcinetobacter baumanniiEffluxBiologyGeneBacterial outer membraneMicrobiologyCell biologyGeneticsBacteriaPseudomonas aeruginosaEscherichia coli

Abstract

fetched live from OpenAlex

OBJECTIVES: To analyse the expression of resistance-nodulation-division (RND) efflux pumps and outer membrane porins during various growth phases of Acinetobacter baumannii ATCC 19606. METHODS: Expression of five different RND pump-encoding genes (adeB, adeG, adeJ, AciBau_2436 and AciBau_2746) and two outer membrane porin-encoding genes (carO and oprD) was analysed at four growth timepoints, representing early, mid and late log phases and the stationary phase using quantitative RT-PCR. RESULTS: The adeB and adeJ RND pump genes were expressed at higher levels than all of the other RND pumps, though their expression was reduced at higher cell density. The adeG gene was found to be constitutively expressed, albeit at much lower levels than those seen for adeB or adeJ. The previously uncharacterized AciBau_2436 was found to be expressed in the early exponential phase. The expression level of oprD was found to be inversely proportional to cell density, while that of carO was found to increase in the mid-log phase but then decrease in the later stages of the growth phase. CONCLUSIONS: This work shows cell density-dependent expression of adeB, adeJ, AciBau_2436, carO and oprD genes, suggesting a role of global regulatory mechanisms in the expression of these genes in A. baumannii ATCC 19606.

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 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 score0.005
Threshold uncertainty score0.642

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.013
GPT teacher head0.238
Teacher spread0.224 · 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.

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

Citations38
Published2011
Admission routes1
Has abstractyes

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