<i>Staphylococcus aureus</i> grown in anaerobic conditions exhibits elevated glutamine biosynthesis and biofilm units
Bibliographic record
Abstract
The enormous spread of Staphylococcus aureus infections through biofilms is a major concern in hospital-acquired infections. Biofilm formation by S. aureus on any surface is facilitated by adjusting its redox status. This organism is a facultative anaerobe shift more towards reductive conditions by enhancing nitrogen metabolism where glutamine synthesis plays a key role. Glutamine is synthesized by glutamine synthetase (GS) encoded by the glnA gene. The gene was amplified by PCR from the chromosomal DNA of S. aureus, sequenced (HQ329146.1), and cloned. The pure recombinant GS exhibited Km of 11.06 ± 0.05 mmol·L−1 for glutamate and 2.4 ± 0.03 mmol·L−1 for ATP. The glnA gene sequence showed a high degree of variability with its human counterpart, while it was highly conserved in bacteria. Structural analysis revealed that the GS structure of S. aureus showed close homology with other Gram-positive bacteria and exhibited a high degree of variation with Escherichia coli GS. In the present study, we observed the increased presence of GS activity in multidrug-resistant strains of S. aureus with elevated biofilm units, grown in brain heart infusion broth; among them methicillin-resistant strains S. aureus LMV 3, 4, and 5 showed higher biofilm units. All these results explain the important role of glutamine biosynthesis with elevated biofilm units in the pathogenesis of S. aureus.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".