A novel Kayvirus species phage RuSa1 removes biofilm and lyses multiple clinical strains of methicillin resistant Staphylococcus aureus
Bibliographic record
Abstract
The emergence of methicillin-resistant Staphylococcus aureus (MRSA) infection is one of the global healthcare concerns. Here, we report the phenotypic and genotypic characterization of a novel multi-host Staphylococcus phage RuSa1, isolated from wastewater samples derived from a spotted sambar deer (Rusa unicolor) enclosure located at Mangalore, India. Clinical MRSA strains (n = 18) susceptible to RuSa1 were genetically and phenotypically diverse as determined by DNA fingerprinting and in vitro culture assays. RuSa1 displayed a latent period and burst size of 10 min and 50 PFU, respectively, and exhibited efficient biofilm removal activities against S. aureus ATCC BAA-44. The phage exhibited moderate UV stability (3 min) and high titre at 4-37 °C and pH 5‒9. RuSa1 possessed a linear double-stranded genomic DNA with a length of 140 kb. The genome contained 30.18% GC composition and shared 82.0‒94.9% sequence similarity with eleven authentic species of Kayvirus recognized by the International Committee on Taxonomy of Viruses based on VIRIDIC analysis. RuSa1 established distinct phyletic lineage in the maximum likelihood phylogenetic analysis of DNA encoding structural proteins and lacked genes that confer lysogeny. Based on the genotypic, phylogenetic and phenotypic data, RuSa1 is proposed to be a lytic phage and a new species of Kayvirus with a potential therapeutic ability against staphylococcal infections.
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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) | 0.000 | 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".