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bioRxiv · 10.64898/2026.06.13.732091

In silico characterization of lysis and host-recognition modules in Staphylococcus aureus bacteriophage genomes

Hasugian, I. A.·Alifiyah, N. I.
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Abstract

Background/aimAntimicrobial resistance in methicillin-resistant Staphylococcus aureus (MRSA) requires precision non-antibiotic therapeutics, yet phage lytic efficacy is poorly predicted by phenotypic assays, as shown by paradoxical biofilm responses. This study characterized the genomic architecture of lytic S. aureus bacteriophages, focusing on the conservation of the lysis module and the variability of host-recognition modules, to provide a rational basis for phage candidate selection. Materials and methodsTwenty-two complete S. aureus phage genomes were retrieved from NCBI GenBank. Genomic features were extracted with custom Biopython scripts. Lysis (endolysin, holin) and host-recognition (tail fiber/receptor-binding protein) modules were annotated and validated by InterPro domain analysis, with disrupted endolysins resolved by tBLASTn. Phylogeny was reconstructed from large terminase subunit (TerL) sequences using maximum likelihood. ResultsGenome size spanned three classes, from 17.5 to 148.6 kb. The LysK-type endolysin (CHAP-Amidase-SH3b) was highly conserved, whereas tail fiber/RBP genes were detected in only 14 of 22 phages. Domain analysis reclassified two proteins annotated as endolysins as virion-associated peptidoglycan hydrolases, and identified two independent mechanisms--HNH endonuclease insertion and intron splitting--that interrupt lysis-module genes and confound automated annotation. Maximum likelihood analysis recovered a strongly supported, highly conserved core clade with EW and SA13 as divergent lineages. ConclusionLysis modules are conserved whereas host-recognition modules are variable, indicating that host recognition rather than the lytic enzyme is the principal determinant of host range and the more rational target for phage selection and engineering.

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Hasugian, I. A., Alifiyah, N. I.. 2026-06-17. In silico characterization of lysis and host-recognition modules in Staphylococcus aureus bacteriophage genomes. https://doi.org/10.64898/2026.06.13.732091

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