Acinetobacter baumannii has emerged as an important and problematic human pathogen as it is the causative agent of several types of infections including pneumonia, meningitis, septicemia, and urinary tract infections. We explored the pathogenic content of this harmful pathogen using a combination of DNA sequencing and insertional mutagenesis. The genome of this organism was sequenced using a strategy involving high-density pyrosequencing, a novel, rapid method of high-throughput sequencing. Excluding the rDNA repeats, the assembled genome is 3,976,746 base pairs (bp) and has 3830 ORFs. A significant fraction of ORFs (17.2%) are located in 28 putative alien islands, indicating that the genome has acquired a large amount of foreign DNA. Consistent with its role in pathogenesis, a remarkable number of the islands (16) contain genes implicated in virulence, indicating the organism devotes a considerable portion of its genes to pathogenesis. The largest island contains elements homologous to the Legionella/Coxiella Type IV secretion apparatus. Type IV secretion systems have been demonstrated to be important for virulence in other organisms and thus are likely to help mediate pathogenesis of A. baumannii. Insertional mutagenesis generated avirulent isolates of A. baumannii and verified that six of the islands contain virulence genes, including two novel islands containing genes that lacked homology with others in the databases. The DNA sequencing approach described in this study allows the rapid elucidation of the DNA sequence of any microbe and, when combined with genetic screens, can identify many novel genes important for microbial pathogenesis.
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http://dx.doi.org/10.1101/gad.1510307 | DOI Listing |
J Infect Dev Ctries
December 2024
Department of Medical Microbiology, Faculty of Medicine, Pamukkale University, Denizli, Turkey.
Introduction: This study aims to investigate the presence of class 1, 2, and 3 integrons in Acinetobacter baumannii isolates, evaluate the relationship between integrons and antibiotic resistance and determine the clonal relationship between isolates by PFGE method.
Methodology: A total of 188 A. baumannii strains between February 2020 and March 2023 were included in the study.
J Infect Dev Ctries
December 2024
Ankara Etlik City Hospital, Department of Medical Microbiology, Ankara, Turkey.
Introduction: Antimicrobial resistance remains a global threat with increasing morbidity and mortality rates. The aim of this study was to identify the antimicrobial resistance trends among ESKAPE pathogens (Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa, and Enterobacter spp.) isolated from clinical samples at a Health Practice and Research Hospital over five years.
View Article and Find Full Text PDFHeliyon
January 2025
ANSES - Université de Lyon, Unité Antibiorésistance et Virulence Bactériennes, Lyon, France.
causes hospital-acquired infections in human patients with compromised immune system. Strains associated to nosocomial infections are often resistant to carbapenems and belong to few international clones (IC1-11). .
View Article and Find Full Text PDFJ Res Pharm Pract
December 2024
Department of Clinical Pharmacy and Pharmacy Practice, Isfahan University of Medical Sciences, Isfahan, Iran.
is one of the primary pathogens responsible for healthcare-associated infections. It is related to high rates of morbidity and mortality globally, mainly because of its high capacity to develop resistance to antimicrobials. Nowadays, carbapenem-resistant (CRAB) has increased and represents a significant concern among carbapenem-resistant organisms.
View Article and Find Full Text PDFUnlabelled: As sequencing costs decrease, short-read and long-read technologies are indispensable tools for uncovering the genetic drivers behind bacterial pathogen resistance. This study explores the differences between the use of short-read (Illumina) and long-read (Oxford Nanopore Technologies, ONT) sequencing in detecting antimicrobial resistance (AMR) genes in ESKAPE pathogens ( and ). Utilizing a dataset of 1,385 whole genome sequences and applying commonly used bioinformatic methods in bacterial genomics, we assessed the differences in genomic completeness, pangenome structure, and AMR gene and point mutation identification.
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