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Rapid MALDI biotyper-based identification and cluster analysis of Streptococcus iniae

Authors :
Woo-Jai Lee
Seong Won Nho
Se Pyeong Im
Jung Seok Lee
Jaesung Kim
Si Won Kim
Jeong Ho Lee
Tae Sung Jung
Jassy Mary S. Lazarte
Jae Wook Jung
Source :
Journal of Microbiology. 55:260-266
Publication Year :
2017
Publisher :
Springer Science and Business Media LLC, 2017.

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.

Details

ISSN :
19763794 and 12258873
Volume :
55
Database :
OpenAIRE
Journal :
Journal of Microbiology
Accession number :
edsair.doi.dedup.....d71d5c7c7f359005b322801dcde9584e
Full Text :
https://doi.org/10.1007/s12275-017-6472-x