Antimicrobial resistance (AMR) is one of the major challenges of the century and should be addressed with a One Health approach. This study aimed to develop a tool that can provide a better understanding of AMR patterns and improve management practices in swine production systems to reduce its spread between farms. We generated similarity networks based on the phenotypic AMR pattern for each farm with information on important bacterial pathogens for swine farming based on the Euclidean distance. We included seven pathogens:
Genomic and functional techniques to mine the microbiome for novel antimicrobials and antimicrobial resistance genes: Mining antimicrobial resistance and biosynthesis
- NSF-PAR ID:
- 10036993
- Publisher / Repository:
- Wiley-Blackwell
- Date Published:
- Journal Name:
- Annals of the New York Academy of Sciences
- Volume:
- 1388
- Issue:
- 1
- ISSN:
- 0077-8923
- Page Range / eLocation ID:
- 42 to 58
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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