Metagenomic Characterization of Infected Diabetic Foot Ulcers in North Africa

North African diabetic foot ulcer infections are characterized by shotgun metagenomic sequencing. The dataset includes 25 non-infected US wounds as a reference and 15 infected Libyan wounds, with analysis of microbial communities, resistomes, and virulomes. Author Muhanad Abdullah Abdulsamad published the data on figshare in May 2026.

Use Cases

• Profiling antibiotic resistance gene ecology based on the detection of 80 ARGs including mecA and mexAB-oprM
• Identifying opportunistic pathogens in chronic wounds based on the characterization of Pseudomonas aeruginosa, Staphylococcus aureus, Acinetobacter baumannii, and Corynebacterium striatum
• Reconstructing high-quality metagenome-assembled genomes based on the P. aeruginosa MAG with 99.68% completeness
• Analyzing virulence factor profiles based on the 220 virulence factors identified in the ST664 P. aeruginosa strain

Strengths

• Includes a reference cohort of 25 non-infected wounds for ecological comparison
• Contains a high-quality, reconstructed P. aeruginosa MAG with 99.68% completeness and 0.89% contamination
• Profiles a detailed resistome and virulome, identifying 220 virulence factors and 60 antibiotic resistance genes in one strain

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 at 423.6 KB, indicating limited scope

Provenance

Source

figshare

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