Identification of Streptococcus dysgalactiae using matrix-assisted laser desorption/ionization-time of flight mass spectrometry; refining the database for improved identification
| Autor: | Eirik Jovall Nybakken, Christian Salgård Jensen, Oddvar Oppegaard, Marianne Gilhuus, Haima Mylvaganam |
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| Rok vydání: | 2020 |
| Předmět: |
0301 basic medicine
Microbiology (medical) Resolution (mass spectrometry) Streptococcus pyogenes 030106 microbiology Matrix assisted laser desorption ionization time of flight computer.software_genre Mass spectrometry 03 medical and health sciences 0302 clinical medicine Species level Streptococcal Infections Ionization time of flight Humans 030212 general & internal medicine Database biology Streptococcus General Medicine biology.organism_classification Bacterial Typing Techniques Infectious Diseases Canis Spectrometry Mass Matrix-Assisted Laser Desorption-Ionization Identification (biology) Streptococcus dysgalactiae computer |
| Zdroj: | Diagnostic microbiology and infectious disease. 99(1) |
| ISSN: | 1879-0070 |
| Popis: | Matrix-assisted laser desorption/ionization time of flight (MALDI-ToF) has revolutionized bacterial identification. However, the phylogenetic resolution is still insufficient for discerning several β-haemolytic streptococcal species. We aimed to improve the diagnostic performance of MALDI-ToF through manual curation of the reference spectra in Brukers Compass Library DB-7854. Before intervention, only 133 out of 217 (62%) Streptococcus dysgalactiae isolates were successfully identified to the species level, 83 isolates were identified to the genus level as either S. dysgalactiae, S. pyogenes or S. canis, and one S. dysgalactiae isolate was wrongly identified as S. canis. All 109 S. canis isolates were successfully identified to the species level. Removal of three reference spectra from the database significantly improved the identification of S. dysgalactiae to 94%, without compromising identification of S. canis. This illustrates the advantage of refinement of the reference database in order to improve the analytic precision of MALDI-ToF. |
| Databáze: | OpenAIRE |
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