Yonsei Med J.  2022 Dec;63(12):1138-1143. 10.3349/ymj.2022.0271.

Identification of Fusobacterium Species Using Matrix-Assisted Laser Desorption/Ionization-Timeof-Flight Mass Spectrometry by Updating ASTA CoreDB

Affiliations
  • 1Department of Laboratory Medicine and Research Institute of Bacterial Resistance, Yonsei University College of Medicine, Seoul, Korea
  • 2R&D Center, NOSQUEST Inc., Yongin, Korea
  • 3Korean Collection for Oral Microbiology and Department of Oral Biochemistry, School of Dentistry, Chosun University, Gwangju, Korea
  • 4Seoul Clinical Laboratories Academy, Yongin, Korea

Abstract

Purpose
Fusobacterium species can cause infections, and associations with cancer are being increasingly reported. As their clinical significance differs, accurate identification of individual species is important. However, matrix-assisted laser desorption/ionization-time of flight mass spectrometry has not been found to be effective in identifying Fusobacterium species in previous studies. In this study, we aimed to improve the accuracy and efficacy of identifying Fusobacterium species in clinical laboratories.
Materials and Methods
In total, 229 Fusobacterium isolates were included in this study. All isolates were identified at the species level based on nucleotide sequences of the 16S ribosomal RNA gene and/or DNA-dependent RNA polymerase β-subunit gene (rpoB). Where necessary, isolates were identified based on whole genome sequences. Among them, 47 isolates were used for updating the ASTA database, and 182 isolates were used for the validation of Fusobacterium spp. identification.
Results
Fusobacterium isolates used for validation (182/182) were correctly identified at the genus level, and most (180/182) were correctly identified at the species level using the ASTA MicroIDSys system. Most of the F. nucleatum isolates (74/75) were correctly identified at the subspecies level.
Conclusion
The updated ASTA MicroIDSys system can identify nine species of Fusobacterium and four subspecies of F. nucleatum in good agreement. This tool can be routinely used in clinical microbiology laboratories to identify Fusobacterium species and serve as a springboard for future research.

Keyword

Fusobacterium; Fusobacterium nucleatum; Fusobacterium necrophorum; spectrometry; mass; matrix-assisted laser desorption-ionization
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