Metagenomic Characterization of Infected Diabetic Foot Ulcers in North Africa

25 non-infected US diabetic foot ulcers and 15 infected Libyan DFUs were analyzed via shotgun metagenomic sequencing. The dataset includes taxonomic classification, resistome and virulome profiling, and a reconstructed Pseudomonas aeruginosa MAG with 220 virulence factors and 60 antibiotic resistance genes. Author Muhanad Abdullah Abdulsamad published the data on figshare in 2026.

Use Cases

• Profiling microbial community shifts based on wound depth stratification described in the US reference cohort.
• Identifying antibiotic resistance genes (ARGs) like mecA and efflux systems in clinically non-infected wounds.
• Characterizing opportunistic pathogens such as Pseudomonas aeruginosa ST664 and its associated virulence factors from the Libyan cohort.
• Supporting metagenomics-guided antimicrobial stewardship research based on the resistome and virulome data.

Strengths

• Includes a high-quality, reconstructed metagenome-assembled genome (MAG) with 99.68% completeness and 0.89% contamination.
• Profiles 80 antibiotic resistance genes across depth groups in the reference cohort.
• Documents the first genomic evidence of Pseudomonas aeruginosa ST664 in a North African DFU, carrying 220 virulence factors.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is small (93.8 KB), indicating limited scope, likely containing summary or processed results rather than raw sequence data.

Provenance

Source

figshare, author Muhanad Abdullah Abdulsamad.

Collection Method

Shotgun metagenomic sequencing, taxonomic classification, resistome and virulome profiling, and MAG reconstruction.

Freshness

Last updated 2026-05-20 05:50:42; freshness should be verified.

Geography

North Africa (Libya) and United States.