The emergence of antibiotic resistance has significantly elevated the threat posed by Acinetobacter baumannii as an opportunistic pathogen. A.baumannii, a notorious bacterium, poses a serious threat to health care, leading to severe nosocomial infections, particularly in immunocompromised individuals. Whole-Genome Sequencing studies are efficient in providing accurate genetic information, aiding in detecting outbreaks, surveillance of resistance, and controlling infection transmission. In this study, we investigated the whole genome of a clinical isolate A. baumannii JJAB01 which sourced from a urine sample of an Intensive Care Unit (ICU) patient. This strain showed resistance to 24 available antibiotics, signifying Extremely Drug Resistant (XDR) and high potential for pathogenicity. Whole Genome Sequencing was performed using Illumina, and the raw reads were evaluated using the FastQC tool. Genome assembly and annotation were performed with Unicycler and the RAST server. The JJAB01 genome is 4.07 Mb with a GC content of 38.9 %. A total of 51 and 31 virulence factors and antimicrobial-resistant (AMR) genes were predicted using the VFDB and CARD databases. Comparative genome studies were carried out on virulence factors, resistance genes, prophages, and Multi-Locus Sequence Typing (MLST) across twelve closely related A. baumannii genomes, including JJAB01, X4-584, X4-705, 2023CK-00423, 2023CK-00890, 2023CK-00127, 2022CK-00066, B20AB01, B20AB10, F20AB03, G20AB08, and X4-65. These computational investigations in this study emphasis the multidimensional nature of the ICU strain JJAB01 and its genetic similarity to other strains, thereby enhancing our understanding of drug resistance and the pathogenicity associated with A. baumannii infections.
Keywords: Antimicrobial resistance; Comparative genomics; Genome assembly and annotation; Whole genome sequence.
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