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Rapid MALDI biotyper-based identification and cluster analysis of Streptococcus iniae
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Rapid MALDI biotyper-based identification and cluster analysis of Streptococcus iniae
Si Won Kim 1, Seong Won Nho 2, Se Pyeong Im 1, Jung Seok Lee 1, Jae Wook Jung 1, Jassy Mary S. Lazarte 1, Jaesung Kim 1, Woo-Jai Lee 3, Jeong-Ho Lee 4, Tae Sung Jung 1
Journal of Microbiology 2017;55(4):260-266
DOI: https://doi.org/10.1007/s12275-017-6472-x
Published online: January 26, 2017
1Laboratory of Aquatic Animal Diseases, Institute of Animal Medicine, College of Veterinary Medicine, Gyeongsang National University, Jinju 52828, Republic of Korea, 2Division of Microbiology, National Center for Toxicological Research/FDA, Jefferson, Arkansas, USA, 3BluGen Korea, Busan 48071, Republic of Korea, 4Inland Aquaculture Research Center, NIFS, Changwon 51695, Republic of Korea1Laboratory of Aquatic Animal Diseases, Institute of Animal Medicine, College of Veterinary Medicine, Gyeongsang National University, Jinju 52828, Republic of Korea, 2Division of Microbiology, National Center for Toxicological Research/FDA, Jefferson, Arkansas, USA, 3BluGen Korea, Busan 48071, Republic of Korea, 4Inland Aquaculture Research Center, NIFS, Changwon 51695, Republic of Korea
Corresponding author:  Tae Sung Jung , Tel: +82-55-751-5822, 
Received: 21 September 2016   • Revised: 2 December 2016   • Accepted: 15 December 2016
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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 charac-terized 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 iden-tified 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 pro-teomic 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 Strep-tococcus species. Our results suggest that the use of MALDI TOF MS could outperform the conventional methods, prov-ing easier, faster, cheaper and more efficient in properly identifying S. iniae. This strategy could facilitate the epide-miological and taxonomical study of this important fish pathogen.

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    Rapid MALDI biotyper-based identification and cluster analysis of Streptococcus iniae
    J. Microbiol. 2017;55(4):260-266.   Published online January 26, 2017
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