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Application of the Whole Genome-Based Bacterial Identification System, TrueBac ID, Using Clinical Isolates That Were Not Identified With Three Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry (MALDI-TOF MS) Systems

Authors
 Sung-Min Ha  ;  Chang Ki Kim  ;  Juhye Roh  ;  Jung-Hyun Byun  ;  Seung-Jo Yang  ;  Seon-Bin Choi  ;  Jongsik Chun  ;  Dongeun Yong 
Citation
 ANNALS OF LABORATORY MEDICINE, Vol.39(6) : 530-536, 2019 
Journal Title
 ANNALS OF LABORATORY MEDICINE 
ISSN
 2234-3806 
Issue Date
2019
Keywords
Genome-based identification ; Next generation sequencing ; Performance ; TrueBac ID
Abstract
BACKGROUND: Next-generation sequencing is increasingly used for taxonomic identification of pathogenic bacterial isolates. We evaluated the performance of a newly introduced whole genome-based bacterial identification system, TrueBac ID (ChunLab Inc., Seoul, Korea), using clinical isolates that were not identified by three matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) systems and 16S rRNA gene sequencing. METHODS: Thirty-six bacterial isolates were selected from a university-affiliated hospital and a commercial clinical laboratory. Species was identified by three MALDI-TOF MS systems: Bruker Biotyper MS (Bruker Daltonics, Billerica, MA, USA), VITEK MS (bioMérieux, Marcy l'Étoile, France), and ASTA MicroIDSys (ASTA Inc., Suwon, Korea). Whole genome sequencing was conducted using the Illumina MiSeq system (Illumina, San Diego, CA, USA), and genome-based identification was performed using the TrueBac ID cloud system (www.truebacid.com). RESULTS: TrueBac ID assigned 94% (34/36) of the isolates to known (N=25) or novel (N=4) species, genomospecies (N=3), or species group (N=2). The remaining two were identified at the genus level. CONCLUSIONS: TrueBac ID successfully identified the majority of isolates that MALDI-TOF MS failed to identify. Genome-based identification can be a useful tool in clinical laboratories, with its superior accuracy and database-driven operations.
Files in This Item:
T201902632.pdf Download
DOI
10.3343/alm.2019.39.6.530
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Laboratory Medicine (진단검사의학교실) > 1. Journal Papers
Yonsei Authors
Kim, Chang Ki(김창기)
Byun, Jung-Hyun(변정현)
Yong, Dong Eun(용동은) ORCID logo https://orcid.org/0000-0002-1225-8477
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/173020
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