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Novel growth characteristics and high rates of nitrate reduction of an<i>Escherichia coli</i>strain, LCB2048, that expresses only a periplasmic nitrate reductase

2000· article· en· W1988315912 on OpenAlexaff
Laura C. POTTER, Paul D. Millington, Gavin H. Thomas, Richard A. Rothery, Gérard Giordano, Jeffrey A. Cole

Bibliographic record

VenueFEMS Microbiology Letters · 2000
Typearticle
Languageen
FieldEnvironmental Science
TopicWastewater Treatment and Nitrogen Removal
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPeriplasmic spaceNitrate reductaseNitrateEscherichia coliBiochemistryChemistryStrain (injury)MutantGlycerolBiologyMicrobiologyEnzymeOrganic chemistry

Abstract

fetched live from OpenAlex

Escherichia coli strain LCB2048 is a double mutant defective in the synthesis of the two membrane-associated nitrate reductases A and Z. This strain can grow anaerobically on a non-fermentable carbon source, glycerol, in the presence of nitrate even in media supplemented with high concentrations of tungstate. This growth was totally dependent upon a highly active, periplasmic nitrate reductase (Nap). Due to the presence of a previously unreported narL mutation, synthesis of the periplasmic nitrate reductase by this strain was induced during anaerobic growth by nitrate. We have also demonstrated that methyl viologen is an ineffective electron donor to Nap: its use leads to an underestimation of the contribution of Nap activity to the rate of nitrate reduction in vivo.

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 score0.053
Threshold uncertainty score0.981

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 studies0.0000.001
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 head0.010
GPT teacher head0.200
Teacher spread0.190 · 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

Citations18
Published2000
Admission routes1
Has abstractyes

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