Abstract
Acinetobacter baumannii is a Gram-negative, aerobic and multi-drug resistant bacterial pathogen commonly associated with nosocomial infections. This species has several strains and is known to cause pneumonia, septi cemia, meningitis, urinary tract infection and wound infection which are associated with high mortality rates. This study focused on a genome-wide compari son among target C123 strain and 15 other reference strains to predict the overall properties, and resistance mechanisms of the C123 strain. A total of 16 whole genome sequence strains were retrieved from NCBI database for analysis. The selected strains were assem bled and annotated using computational tools. Further more, comparative genomic analysis, resistance mecha nism prediction, and phylogenetic tree construction were conducted. The analysis revealed significant sim ilarities between the target strain and the reference strains. Most of the selected strains of A. baumannii contained virulence factors and transporters. Most strains exhibited efflux pumps as an antibiotic re sistance mechanism; however, all strains showed the highest affinity for resistance against aminoglycosides and peptide antibiotics. After observing the result of analysis, this study concluded that the target strain C123 will also be pathogenic and multi-drug resistant bacteria.
Recommended Citation
Mendoza, Jennilyn Nicole G.
(2025)
"Computational Comparative Genome Analysis Reveals the Characteristics of Acinetobacter baumannii C123 Strains,"
The Lasallian Journal of Health: Vol. 1:
Iss.
1, Article 6.
Available at:
https://greenprints.dlshsi.edu.ph/tljh/vol1/iss1/6
Included in
Bioinformatics Commons, Computational Biology Commons, Developmental Biology Commons, Genomics Commons, Molecular Genetics Commons