Resource Development and Investigation of Novel Species from Unidentified Pathogens in NCCP using MALDI-TOF MS and 16S rRNA Gene Analysis

Species identification is an important item to characterize unidentified bacterial pathogens in developing and managing bacterial resources. In this study, unidentified pathogens based on the results of an automated identification system were identified using matrix assisted laser desorption ionization-time of flight mass spectrometry (MALD-TOF MS) and 16S rRNA gene analysis for development of national resources in the National Culture Collection for Pathogens (NCCP) in Korea. A total of 437 unidentified strains from branch banks of the NCCP were collected, and 16S rRNA and dnaJ gene sequencing, as well as MALDI-TOF MS analysis were performed to identify bacterial species. The mass spectra extracted were analyzed. Twelve strains exhibiting less than 98.65% similarity in 16S rRNA gene were selected as the primary candidates for novel species, and 21 strains exhibiting 98.65~99.0% similarity in 16S rRNA gene were selected as possible candidates for novel species. Among them, strain 32, belonging to Dermabacter sp., was finally selected as a possible strain representing a novel species and 14 unidentified bacterial strains using automated phenotypic identification system were newly registered at NCCP. The present study showed that unidentified pathogens using the automated phenotypic identification system were efficiently identified using the combination of MALDI-TOF MS and 16S rRNA gene analysis, and developed to the national resources in NCCP.

Taxonomic Identification of Bacillus Species Using Matrix-Assisted Laser Desorption/Ionization-Time of Flight Mass Spectrometry / 대한임상미생물학회지

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.