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Comparative study of different molecular methods for typing of Acinetobacter baumannii clinical isolates from University Hospitals
Authors:Inwon Seo  Jangwon Lee  Seung-Yeol Son  Kyudong Han
Institution:1. Department of Microbiology, College of Advanced Science, Dankook University, Cheonan, 330-714, Republic of Korea
2. Department of Nanobiomedical Science & BK21 PLUS NBM Global Research Center for Regenerative Medicine, Dankook University, Cheonan, 330-714, Republic of Korea
Abstract:Acinetobacter baumannii, a rod-shape Gram-negative bacterium, is an opportunistic pathogen causing diseases in humans. This bacterium has been recognized as one of the leading causes of nosocomial infection which occurs in hospital or hospital-like setting. The antibiotic resistance of A. baumannii could result from the heavy use of antibiotics and has been recognized as a threat to human health. However, prevention against the disease caused by A. baumannii is difficult due to variable host susceptibility against their infections. We isolated 53 bacterial strains from four different university hospitals in South Korea and identified 34 out of the 53 isolates as A. baumannii, based on the nucleotide sequence of 16S rRNA and gpi genes. For the subtyping of the clinical isolates, we used enterobacterial repetitive intergenic consensus-polymerase chain reaction (ERIC-PCR) and multilocus sequencing typing (MLST) and compared the results. The result of ERIC-PCR showed that there are 14 distinct DNA fingerprint patterns in the 34 A. baumannii clinical isolates. For MLST analysis of the isolates, we amplified and sequenced seven housekeeping genes (gltA, gyrB, gdhB, recA, cpn60, gpi, and rpoD) from each isolate. Each unique allelic profile at the concatenated nucleotide sequences of the seven genes was assigned as a sequence type (ST) and six different STs (ST92, ST105, ST138, ST169, ST262, and ST357) were detected in the 34 A. baumannii clinical isolates. Among the six STs, ST138 was the most ubiquitous in the A. baumannii clinical isolates. To examine the regional distribution of the isolates, STs were clustered into clonal complexes based on their similarity to a previously registered central genotype and the clustering was verified by network phylogenetic analysis.
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