Antimicrobial Resistance: What Can We Learn from Genomics?
1. Antimicrobial Resistance and Genomics: Illuminating New Frontiers in a Global Crisis
- Bacillus cereus Group Diversity and AMR in Foodstuffs: Sornchuer et al. [7] used whole-genome sequencing to investigate B. cereus isolates from food in Thailand. Their work highlights the co-occurrence of virulence and resistance genes in both pathogenic and non-pathogenic strains, raising food safety and public health concerns.
- One Health AMR Surveillance in E. coli: Jewell et al. [8] leveraged WGS to assess the AMR gene distribution in E. coli across humans, animals, food, and environmental sources in Washington State. Their study underscores the feasibility and power of genomic surveillance within a One Health framework.
- Multidrug-Resistant E. coli ST410 in Egypt: Mohamed et al. [9] characterized a high-risk E. coli clone co-harboring ESBL and carbapenemase genes, including blaNDM-5. The discovery of chromosomal integration of blaCMY-2 emphasizes the urgent need for surveillance in clinical settings.
- Methicillin-Resistant Staphylococcus epidermidis: Altayb et al. [10] reported on the genomic features of multidrug-resistant S. epidermidis, identifying biofilm-associated genes and unique SCCmec elements that complicate treatment options for nosocomial infections.
- Comparative Genomics of Arcanobacterium phocae Strains: Aaltonen et al. [11] conducted whole-genome sequencing of 42 A. phocae strains isolated from seals and various fur animals. Their findings reveal distinct phylogenetic clusters between marine and terrestrial hosts, alongside virulence-associated proteins of interest for vaccine development, highlighting the need for targeted prevention strategies in the fur industry.
- Pan and Core Genome Analysis of Mycobacterium tuberculosis Strains: Zakham et al. [12] performed a comparative genome analysis of 183 M. tuberculosis strains, including BCG vaccine variants. The study revealed high inter-species diversity and identified conserved virulence genes within the core genome, offering valuable insights for future TB vaccine development and the assessment of attenuated strain safety.
2. Future Directions
- Strengthening the One Health Approach: Understanding the interconnectedness of human, animal, and environmental health is vital for predicting and preventing AMR emergence.
- Global Genomic Surveillance: Expanding genomic monitoring networks will enable early detection of high-risk clones and resistance genes before they become entrenched in clinical settings.
- Bioinformatics and Predictive Tools: Developing advanced computational platforms for real-time analysis and prediction of resistance evolution will support faster public health responses.
- Novel Therapeutics and Alternatives: Investment in the development of new antimicrobials, bacteriophage therapy, and microbiome modulation could offer viable alternatives to current treatments.
- Public Health Policy Integration: Genomic data must inform global policy decisions, antimicrobial stewardship programs, and infection prevention strategies.
Conflicts of Interest
References
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Sironen, T.; Kant, R. Antimicrobial Resistance: What Can We Learn from Genomics? Antibiotics 2025, 14, 661. https://doi.org/10.3390/antibiotics14070661
Sironen T, Kant R. Antimicrobial Resistance: What Can We Learn from Genomics? Antibiotics. 2025; 14(7):661. https://doi.org/10.3390/antibiotics14070661
Chicago/Turabian StyleSironen, Tarja, and Ravi Kant. 2025. "Antimicrobial Resistance: What Can We Learn from Genomics?" Antibiotics 14, no. 7: 661. https://doi.org/10.3390/antibiotics14070661
APA StyleSironen, T., & Kant, R. (2025). Antimicrobial Resistance: What Can We Learn from Genomics? Antibiotics, 14(7), 661. https://doi.org/10.3390/antibiotics14070661