Taxonomic Identification of Bacillus Species Using Matrix-Assisted Laser Desorption/Ionization-Time of Flight Mass Spectrometry.
10.5145/ACM.2016.19.4.110
- Author:
Won Seon YU
1
;
Kyeong Min LEE
;
Kyu Jam HWANG
Author Information
1. Pathogen Resource TF, Center for Infectious Diseases, Korea National Institute of Health, Korea Centers for Disease Control and Prevention, Cheongju, Korea. kyuhwang61@korea.kr
- Publication Type:Original Article
- Keywords:
Bacillus speciess;
Identification;
MALDI-TOF MS
- MeSH:
Bacillus cereus;
Bacillus*;
Classification;
Dermatoglyphics;
Genes, rRNA;
Mass Spectrometry*;
Multiplex Polymerase Chain Reaction;
Trees;
Virulence
- From:Annals of Clinical Microbiology
2016;19(4):110-120
- CountryRepublic of Korea
- Language:Korean
-
Abstract:
BACKGROUND: In this study, we compared various methods of taxonomic identification of Bacillus strains: biochemical methods, 16S rRNA gene sequencing, and matrix-assisted laser desorption/ionization-time of flight mass spectrometry (MALDI-TOF MS). We also developed a pathogen- isolate resource database, thus increasing the identification rate when using MALDI-TOF MS. METHODS: Thirty Bacillus strains were obtained from the NCCP (National Culture Collection for Pathogens) and were identified using the VITEK 2 system (bio-Mérieux, France), API kit (bioMérieux, France), 16S rRNA gene sequencing, and MALDI-TOF MS. The pathogenicity of Bacillus cereus was confirmed through the identification of virulent genes using a multiplex PCR, and both protein extraction for protein profiling in MALDI-TOF MS and repetitive-sequence fingerprinting were performed. RESULTS: The identification rates at the species level were 40%, 80%, and 76.3% for the VITEK 2 system (bioMérieux), 16S rRNA gene sequencing, and MALDI-TOF MS, respectively. When the major spectrum-profiling dendrogram was compared with the phylogenetic tree, which was constructed based on the 16S rRNA gene sequences and rep-PCR fingerprinting, the classifications were confirmed to be effective. CONCLUSION: Identification of Bacillus strains using MALDI-TOF MS was more effective than that using the VITEK 2 system (bioMérieux), but was similar to that using 16S rRNA gene sequencing. Continual addition to a proteome-based database can result in increased identification rates for MALDI-TOF MS.