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(사)한국바이오칩학회 The Korean BioChip Society



BT+IT+NTThe Korean BioChip Society

BioChip Journal

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Info. Vol.12 - No.1 (2018.03.20)
Title Rapid Differentiation of seven species of Anguilla using PNA clamping-based asymmetric PCR with fluorescence melting curve analysis
Authors Eun Soo Noh1, Hyun Sook Kang1, Eun Mi Kim1, Jae Koo Noh1, Jung Youn Park1, Tae-Jin Choi2 & Jung-Ha Kang1,*
Institutions 1Biotechnology Research Division, National Institute of Fisheries Science, 216, Gijanghaean-ro, Gijang-eup, Gijang-gun, Busan 46083, Republic of Korea
2Department of Microbiology, Pukyong National University, 45, Yongso-ro, Nam-Gu, Busan 48513, Republic of Korea
*Correspondence and requests for materials should be addressed to J.-H. Kang (genetics@korea.kr)
Abstract Differentiation of the genus Anguilla is important for phylogenetic studies, ecological monitoring, and food forensics. Although various methods have been developed to identify these species, current methods are time-consuming and limit the number of species that can be detected. The aim of this study was to develop a rapid and convenient method to identify the genus Anguilla. To differentiate among seven commercially important species of Anguilla (A. japonica, A. anguilla, A. rostrata, A. celebensis, A. pacifica, A. marmorata, and A. bicolor pacifica), fluorescence melting curve analysis (FMCA) with peptide nucleic acid (PNA) probes were used. One primer set was designed to amplify the mitochondrial cytochrome b gene, and seven PNA probes were designed to identify each species from the cyt b gene. The PNA probes were labeled with four different fluorescent reporter dyes (FAM, HEX, Texas Red, Cy5) for multiplex analysis using two tubes. Based on FMCA, each PNA probe showed the highest Tm value when it was 100% complementary to the target sequence. In conclusion, the PNA-based FMCA method is suitable for differentiating among seven species of Anguilla and should be applicable in various fields, such as global marketing and scientific research.
Keyword Anguilla, Fluorescence melting curve analysis, Real-time PCR, Species identification, Cytochrome b
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