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This study provides the first shotgun metagenomic characterization of infected diabetic foot ulcers (DFUs) from North Africa. We analyzed two independent datasets with distinct roles: 25 non-infected US DFUs (PRJNA506988) served as an ecological reference cohort to characterize depth-stratified microbial community patterns and pre-infection ARG ecology; 15 infected Libyan DFUs constituted the primary characterization cohort. Metagenomic sequencing, taxonomic classification, resistome and virulome profiling, and metagenome-assembled genome (MAG) reconstruction were performed. In the US reference cohort, depth-dependent community shifts were documented: Fusobacteriota predominated in deeper ulcers, while Staphylococcaceae and Pseudomonadaceae were enriched in superficial wounds. Eighty ARGs were detected across depth groups, including mecA and the mexAB-oprM efflux system, in clinically non-infected wounds. In the Libyan cohort, four major opportunistic pathogens were identified: Pseudomonas aeruginosa , Staphylococcus aureus , Acinetobacter baumannii , and Corynebacterium striatum . From sample M13, a high-quality P. aeruginosa MAG (99.68% completeness, 0.89% contamination) was reconstructed, classified as ST664 and carrying 220 virulence factors, 60 antibiotic resistance genes (all confirmed by RGI v6.0.2), and 213 mobile genetic elements. These findings represent the first genomic evidence of ST664 in a North African DFU and underscore the need for metagenomics-guided antimicrobial stewardship in chronic wound management.
Abdulsamad et al. (Wed,) studied this question.