Genetic and Molecular Mapping of Bacteria in Chronic Ulcerative Infections among Diabetics Patients

Research investigated Pseudomonas aeruginosa genetic profiles that infect diabetic foot ulcers through DNA sequencing examination of samples obtained in Wasit province, Iraq. Standard PCR procedures were used to test ulcers of 90 diabetic patients for P. aeruginosa through swab collection. DNA sequencing followed to generate results for six positive samples that received accession numbers for submission to NCBI GenBank. The local strains analyzed through MEGA-11 software demonstrated genetic similarities to a reference strain from India based on NCBI-BLAST database results with identity ranges from 99.15 % to 99.68 % and mutation ranges from 0.0003 % to 0.001 %. Genetic sequencing proved to be highly effective for bacterial pathogen identification in persistent infections according to these research findings. The studied gene marker shows potential value as both a tool for evolutionary research and diagnostic improvement for clinical P. aeruginosa monitoring.

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Publication Details

Journal
Journal of Wasit for Science and Medicine
Published
2025-04-01
DOI
https://doi.org/10.31185/jwsm.540
Primary Topic
Mycobacterium research and diagnosis
Type
article
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article

Genetic and Molecular Mapping of Bacteria in Chronic Ulcerative Infections among Diabetics Patients

Aida Hameed Hasan Alobaidi
Journal of Wasit for Science and Medicine
Mycobacterium research and diagnosis
article

Genetic and Molecular Mapping of Bacteria in Chronic Ulcerative Infections among Diabetics Patients

Aida Hameed Hasan Alobaidi
article en

Abstract

Research investigated Pseudomonas aeruginosa genetic profiles that infect diabetic foot ulcers through DNA sequencing examination of samples obtained in Wasit province, Iraq. Standard PCR procedures were used to test ulcers of 90 diabetic patients for P. aeruginosa through swab collection. DNA sequencing followed to generate results for six positive samples that received accession numbers for submission to NCBI GenBank. The local strains analyzed through MEGA-11 software demonstrated genetic similarities to a reference strain from India based on NCBI-BLAST database results with identity ranges from 99.15 % to 99.68 % and mutation ranges from 0.0003 % to 0.001 %. Genetic sequencing proved to be highly effective for bacterial pathogen identification in persistent infections according to these research findings. The studied gene marker shows potential value as both a tool for evolutionary research and diagnostic improvement for clinical P. aeruginosa monitoring.

Journal of Wasit for Science and MedicineVol. 18(2)
Openalex Percentile: Top 81%
Mycobacterium research and diagnosis
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