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Record W1979810463 · doi:10.1016/s0378-1097(03)00299-4

Induction of<i>Oenococcus oeni</i>H<sup>+</sup>-ATPase activity and mRNA transcription under acidic conditions

2003· article· en· W1979810463 on OpenAlexaff
Louis‐Charles Fortier, Raphaà lle Tourdot-Maréchal, Charles Divià ̈s, Byong H. Lee, Jean Guzzo

Bibliographic record

VenueFEMS Microbiology Letters · 2003
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicATP Synthase and ATPases Research
Canadian institutionsMcGill University
Fundersnot available
KeywordsOenococcus oeniATPaseBiochemistryBiologyEnzymeMessenger RNAProtein subunitMalic acidMolecular biologyChemistryGeneLactic acidMalolactic fermentationBacteria

Abstract

fetched live from OpenAlex

The profiles of Oenococcus oeni IOB84.13 H(+)-ATPase activity under various conditions of growth were studied. Cells growing at low pH 3.5 had a 1.6-fold higher H(+)-ATPase activity compared to control cells grown at pH 5.3. While the pH of the growth medium was shown to be stable in the presence of malic acid, a drastic decrease in pH from 5.3 down to 3.9 during growth in the absence of malic acid induced an increase in H(+)-ATPase activity by 1.5-fold. This induction was even greater when the initial pH was 3.5. Partial cloning of the genes encoding the beta-subunit and the epsilon-subunit of the H(+)-ATPase suggested a typical F(1)F(0)-ATPase genetic organization in O. oeni. The atp mRNA was detected by slot blots. Cells shocked at acidic pH were shown to contain higher levels of atp mRNA compared to the control cells grown at pH 5.3. Taken together, these results indicate that the H(+)-ATPase of O. oeni is induced at low pH and that regulation seems to occur at the level of transcription. This agrees with the role of this enzyme in the regulation of the cytoplasmic pH and in the acid tolerance of O. oeni.

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 score0.012
Threshold uncertainty score0.733

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)0.0000.000

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 head0.015
GPT teacher head0.258
Teacher spread0.243 · 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

Citations50
Published2003
Admission routes1
Has abstractyes

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