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Record W2025762507 · doi:10.1016/j.femsle.2005.02.031

Disruption of a gene encoding glycerol 3-phosphatase from<i>Candida albicans</i>impairs intracellular glycerol accumulation-mediated salt-tolerance

2005· article· en· W2025762507 on OpenAlexafffund
Jinjiang Fan, Malcolm Whiteway, Shi‐Hsiang Shen

Bibliographic record

VenueFEMS Microbiology Letters · 2005
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicFungal and yeast genetics research
Canadian institutionsMcGill UniversityBiotechnology Research InstituteHôpital Maisonneuve-Rosemont
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsGlycerolBiologyCandida albicansPhosphataseBiochemistryGene expressionGeneOsmoregulationMicrobiologyPhosphorylationSalinity

Abstract

fetched live from OpenAlex

Intracellular glycerol accumulation is critical for Candida albicans to maintain osmolarity, and therefore defects in glycerol homeostasis can have severe effects on the morphogenetic plasticity and pathogenicity of this fungus. The final step of glycerol synthesis involves the dephosphorylation of glycerol 3-phosphate by glycerol 3-phosphatase (GPP1). We have identified a single copy of the GPP orthologous gene (GPP1) in the C. albicans haploid genome, as well as the paralogous gene 2-deoxyglucose-6-phosphate phosphatase (DOG1); both belong to a family of low molecular weight phosphatases. A knockout of the GPP1 gene in C. albicans caused increased susceptibility to high salt concentrations, indicating a deficiency in osmoregulation. Reintroduction of the GPP1 gene complemented the impairment of salt-tolerance in the gpp1/gpp1 mutant. Northern blot analysis showed that the GPP1 gene was strongly responsive to osmotic stress, and its transcriptional expression was positively correlated with intracellular glycerol accumulation. These results demonstrate that the GPP1 gene plays an important role in the osmoregulation in C. albicans.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.011
GPT teacher head0.254
Teacher spread0.242 · 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

Citations33
Published2005
Admission routes2
Has abstractyes

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