Network Analysis of Antimicrobial Resistance in Staphylococcus aureus: Identification of Hub Genes and Potential Therapeutic Targets
Document Type
Conference Proceeding
Publication Date
4-2025
Abstract
Staphylococcus aureus is an opportunistic pathogen with increasing antibiotic resistance, posing a global health threat. To identify key genes facilitating resistance, we analyzed 1,062 genomes from the NCBI Genome database and compiled 229 antimicrobial resistance genes from CARD, ResFinder, NCBI, and AR-ANNOT databases. Using network analysis, we identified mecA, mgrA, arlR, arlS, and msrA1 as hub genes, playing central roles in resistance pathways. Functional enrichment and molecular function analyses revealed that these genes are primarily involved in antibiotic efflux, target replacement, and target protection. These mechanisms contribute to resistance against disinfectants, fluoroquinolones, penams, streptogramins, macrolides, peptides, tetracyclines, and glycylcyclines. Identifying hub genes and their biological processes enhances our understanding of S. aureus resistance mechanisms and provides potential targets for novel therapeutic strategies. Our findings offer valuable insights into combatting antibiotic resistance and guiding future drug development efforts.
Recommended Citation
Hasan, Md Imran, "Network Analysis of Antimicrobial Resistance in Staphylococcus aureus: Identification of Hub Genes and Potential Therapeutic Targets" (2025). Student Research Symposium 2025. 13.
https://digitalcommons.tamusa.edu/srs_2025/13
Comments
1:00-2:00 p.m.
BLH 362
Studies in Computational & Systems Biology
Zechun Cao, Moderator