ArticleJournal of microbiology (Seoul, Korea)2017
Rapid MALDI biotyper-based identification and cluster analysis of Streptococcus iniae.
Article in Journal of microbiology (Seoul, Korea), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed, 16 citations in OpenAlex.
- Development and validation of a custom Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry (MALDI-TOF MS) peptide database for the rapid and accurate identification of Aeromonas spp. isolated from diseased fish.BMC veterinary research · 2026Article
- Automatic Identification of MALDI-TOF MS Database Using ClassicalComputational and mathematical methods in medicine · 2022Article
- Research and Development of User Clustering-Based Content Similarity Algorithms in Dance-Assisted Choreography Techniques.Computational intelligence and neuroscience · 2022Article
- Identification of bacterial pathogens in cultured fish with a custom peptide database constructed by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS).BMC veterinary research · 2020Article
- Use of MALDI-TOF Mass Spectrometry for the Fast Identification of Gram-Positive Fish Pathogens.Frontiers in microbiology · 2017Article
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Authors and funding
10 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Streptococcus iniae causes severe mortalities among cultured marine species, especially in the olive flounder (Paralichthys olivaceus), which is economically important in Korea and Japan. Recently, there has been growing concern regarding the emergence of S. iniae as a zoonotic pathogen. Here, 89 S. iniae isolates obtained from diseased olive flounders collected from 2003 to 2008 in Jeju Island, South Korea, were characterized using matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS). The results were aligned both with the available Bruker Daltonics data-base and with a new set of S. iniae data entries developed in our laboratory, and the results were compared. When we used the Bruker Daltonics database, the 89 isolates yielded either "no reliable identification" or were incorrectly identified as Streptococcus pyogenes at the genus level. When we used the new data entries from our laboratory, in contrast, all of the isolates were correctly identified as S. iniae at the genus (100%) and species (96.6%) levels. We performed proteomic analysis, divided the 89 isolates into cluster I (51.7%), cluster II (20.2%), and cluster III (28.1%), and then used the MALDI Biotyper software to identify specific mass peaks that enabled discrimination between clusters and between Streptococcus species. Our results suggest that the use of MALDI TOF MS could outperform the conventional methods, proving easier, faster, cheaper and more efficient in properly identifying S. iniae. This strategy could facilitate the epidemiological and taxonomical study of this important fish pathogen.
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