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Record W1932801006 · doi:10.1111/mmi.13000

Involvement of reductases <scp>I</scp>ru<scp>O</scp> and <scp>N</scp>tr<scp>A</scp> in iron acquisition by <scp><i>S</i></scp><i>taphylococcus aureus</i>

2015· article· en· W1932801006 on OpenAlexafffund
Mélissa Hannauer, Andrew Arifin, David E. Heinrichs

Bibliographic record

VenueMolecular Microbiology · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBacterial Genetics and Biotechnology
Canadian institutionsWestern University
FundersCanadian Institutes of Health Research
KeywordsMutantSiderophoreDeferoxamineHemeBiologyBiochemistryMicrobiologyVirulenceWild typeEnzymeGene

Abstract

fetched live from OpenAlex

To obtain host iron, Staphylococcus aureus secretes siderophores staphyloferrin A (SA) or staphyloferrin B (SB), and accesses heme iron through use of iron-regulated surface determinant proteins. While iron transport in S. aureus is well documented, there is scant information about proteins required to access iron from complexes in the cytoplasm. In vitro studies identified a pyridine nucleotide-disulfide oxidoreductase, named IruO, as an electron donor for the heme monooxygenases IsdG and IsdI, promoting heme degradation. Here, we show that an iruO mutant was not debilitated for growth on heme, suggesting involvement of another reductase. NtrA is an iron-regulated nitroreductase and, as with the iruO mutant, a ntrA mutant grew on heme comparable with wild type (WT). In contrast, a iruO ntrA double mutant was severely debilitated for growth on heme, a phenotype that was complemented by expression of either iruO or ntrA in trans, demonstrating their overlapping role in heme-iron utilization. Contrasting the involvement of multiple reductases for heme iron utilization, ntrA was shown essential for iron utilization using SA, although not SB or other siderophores tested, and an iruO mutant was incapable of deferoxamine-mediated growth. Accordingly, virulence of WT S. aureus, but not an iruO mutant, was enhanced in mice receiving deferoxamine.

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)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesMeta-epidemiology (narrow)
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 score0.236
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0020.002
Research integrity0.0030.001
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 head0.007
GPT teacher head0.212
Teacher spread0.205 · 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; both teacher heads agree on what is shown here.

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

Citations19
Published2015
Admission routes2
Has abstractyes

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