AB 20:203-208 (2014)  -  DOI: https://doi.org/10.3354/ab00559

Identification and classification of the principal microflora of the sea pineapple Halocynthia roretzi using MALDI biotyping and 16S rRNA analysis

Seong-Won Nho1,2, Ho Bin Jang1, In Seok Cha1, Seong Bin Park1, Young-Kyu Kim1, Fernand F. Fagutao1, Jong Earn Yu1, Tae-Sung Jung1,*

1Laboratory of Aquatic Animal Diseases, Research Institute of Life Science, College of Veterinary Medicine, Gyeongsang National University, 900 Gajwa-dong, Jinju, Gyeongnam 660-710, South Korea
2Present address: Department of Basic Sciences, College of Veterinary Medicine, Mississippi State University, Mississippi 39762-6100, USA
*Corresponding author:

ABSTRACT: Halocynthia roretzi (phylum Cordata), also called ‘sea pineapples’, live in shallow coastal waters and typically feed on plankton and detritus that they filter from seawater. It has been reported that symbiotic microflora associated with H. roretzi act as protective agents that strengthen its immune system or control energy metabolism. This study analyzed the culturable microflora from the coelomic fluid of the sea pineapple using MALDI-biotyping and 16S rRNA sequencing, combining a recent technology with the conventional method of bacteria identification. The MALDI-biotyper enabled the classification of the symbiotic microflora into 5 groups based on the specific patterns of their mass spectrum. The 16S rRNA sequencing was then used to establish the identity of the dominant bacteria in 4 groups, later revealed as 2 groups of Vibrio spp., Shwanella spp. and Bacillus spp. MALDI-biotyping was applied for the identification of microorganisms directly from cultured agar, and, coupled with numerical taxonomic analyses, we determined the major microflora associated with H. roretzi.


KEY WORDS:  Halocynthia roretzi · Microflora · MALDI-biotyper · 16S rRNA


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Cite this article as: Nho SW, Jang HB, Cha IS, Park SB and others (2014) Identification and classification of the principal microflora of the sea pineapple Halocynthia roretzi using MALDI biotyping and 16S rRNA analysis. Aquat Biol 20:203-208. https://doi.org/10.3354/ab00559

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