Synthetic oligonucleotide-based qPCR assay for sensitive detection of harmful dinoflagellates Dinophysis spp.
ID:15 View Protection:ATTENDEE Updated Time:2026-04-22 15:12:42 Hits:41 Poster Presentation

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Abstract
With the accelerating impact of climate change, Korean coastal waters are becoming increasingly subtropical, raising the likelihood of harmful algal bloom (HAB)-forming species. Early detection of HAB species is essential for effective monitoring and management. Among them, the genus Dinophysis, which causes Diarrhetic Shellfish Poisoning (DSP), is difficult to culture under laboratory conditions, posing challenges for the development of accurate quantitative standards. To overcome this limitation, this study used artificially synthesized oligonucleotides as a substitute for Dinophysis DNA to construct a qPCR standard curve. Species-specific primers targeting the LSU rDNA region were designed, and the performance of the synthetic oligo-based standard curve was evaluated by comparison with Dinophysis genomic DNA. The spike experiment was conducted to improve the accuracy of cell density quantification in environmental samples. The sensitivity and specificity of the developed detection method were further evaluated using EvaGreen-based qPCR assays with field samples collected from Jinhae Bay and Jeju coastal waters in 2022 and 2023. As a result, in-silico analysis showed that the primer-binding regions were highly conserved among 14 Dinophysis species and matched 30 Dinophysis sequences in NCBI GenBank. Specificity tests further confirmed positive amplification only in Dinophysis acuminata among 14 dinoflagellate species, 1 diatom species and 1 raphidophyte species. The synthetic oligonucleotide-based standard curve showed high reliability (R² = 0.999) and yielded quantification results comparable to those obtained using Dinophysis genomic DNA. In addition, the spike experiment improved the accuracy of cell density estimation, and EvaGreen-based qPCR assays successfully detected Dinophysis in field samples, including low-density samples that were difficult to detect by microscopy. This approach enables effective analysis of environmental samples and demonstrates the potential of DNA sequence-based detection strategies for other non-culturable harmful microalgae. The method will contribute to improving HAB monitoring efforts in response to the ecological changes driven by climate change.
 
Keywords
Synthetic olignucleotide,Dinophysis,Harmful Algal Blooms (HABs),eDNA
Speaker
Su Min Kang
Post Doc. Jeju National University

Submission Author
Su Min Kang Jeju National University
Xu Wang Jeju National University
Sae-Hee Kim Jeju national university
Naeun Yun Jeju National University
Seung Min Yang Jeju National University
Tae Gyu Park National Institute of Fisheries Science (NIFS)
Suk Hyun Youn National Institute of Fisheries Science (NIFS)
Jin Ho Kim National Jeju Univ.
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Important Date
  • Conference Date

    Jun 16

    2026

    to

    Jun 18

    2026

  • Apr 03 2026

    Draft paper submission deadline

Sponsored By
Hokkaido University
Organized By
Hokkaido University