Comparison of rpoB gene sequencing, 16S rRNA gene sequencing, gyrB multiplex PCR, and the VITEK2 system for identification of Acinetobacter clinical isolates

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Title
Comparison of rpoB gene sequencing, 16S rRNA gene sequencing, gyrB multiplex PCR, and the VITEK2 system for identification of Acinetobacter clinical isolates
Author(s)
M J Lee; S J Jang; X M Li; G Park; J K Kook; M J Kim; Young Hyo Chang; J H Shin; S H Kim; D M Kim; S H Kang; D S Moon
Bibliographic Citation
Diagnostic Microbiology and Infectious Disease, vol. 78, no. 1, pp. 29-34
Publication Year
2014
Abstract
Since accurate identification of species is necessary for proper treatment of Acinetobacter infections, we compared the performances of 4 bacterial identification methods using 167 Acinetobacter clinical isolates to identify the best identification method. To secure more non-baumannii Acinetobacter (NBA) strains as target strains, we first identified Acinetobacter baumannii in a total of 495 Acinetobacter clinical isolates identified using the VITEK 2 system. Because 371 of 495 strains were identified as A. baumannii using gyrB multiplex 1 PCR and blaOXA51-like PCR, we performed rpoB gene sequencing and 16S rRNA gene sequencing on remaining 124 strains belonging to NBA and 52 strains of A. baumannii. For identification of Acinetobacter at the species level, the accuracy rates of rpoB gene sequencing, 16S rRNA gene sequencing, gyrB multiplex PCR, and the VITEK 2 were 98.2%, 93.4%, 77.2%, and 35.9%, respectively. The gyrB multiplex PCR seems to be very useful for the detection of ACB complex because its concordance rates to the final identification of strains of ACB complex were 100%. Both the rpoB gene sequencing and the 16S rRNA gene sequencing may be useful in identifying Acinetobacter.
Keyword
16SAcinetobacterDNADNA GyraseGenesIdentificationPCRRibosomalRNASequence analysisRpoB
ISSN
0732-8893
Publisher
Elsevier
DOI
http://dx.doi.org/10.1016/j.diagmicrobio.2013.07.013
Type
Article
Appears in Collections:
Ochang Branch Institute > Division of National Bio-Infrastructure > Bio-Infrastructure Policy Support Center > 1. Journal Articles
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