A highly sensitive and specific real-time quantitative polymerase chain reaction assay for Perkinsus marinus detection in oysters

Oyster aquaculture is one of the fastest-growing food production industries worldwide; however, it faces a significant challenge from the protist Perkinsus marinus, particularly in the USA. Although several quantitative molecular diagnostic methodologies are available for identifying diseases caused by P. marinus, the primer pairs used therein led to non-specific identification of other Perkinsus spp. Hence, a quantitative real-time PCR (Pm-qPCR) assay specific for P. marinus was developed using a TaqMan-based probe with the internal quencher in this study. A primer pair and probe specific to P. marinus were designed from a hypothetical protein of P. marinus collected from the whole-genome shotgun sequence database of the National Center for Biotechnology Information (NCBI). In silico analysis using homologous sequences of P. olseni and P. chesapeaki confirmed the high specificity of primers designed in this study. The Pm-qPCR assay was performed using seven different strains of P. marinus, P. olseni, and P. chesapeaki, revealing high specificity and sensitivity for detecting only P. marinus strains. In conclusion, it was demonstrated that Pm-qPCR can effectively and accurately diagnose P. marinus with high specificity and sensitivity. This assay is promising for monitoring oyster health and disease management in ecosystems and aquaculture.

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Publication Details

Journal
Scientific Reports
Published
2024-10-26
DOI
https://doi.org/10.1038/s41598-024-76822-y
Citations
4
Primary Topic
Marine Bivalve and Aquaculture Studies
Type
article
Field-Weighted Citation Impact
1.13

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article

A highly sensitive and specific real-time quantitative polymerase chain reaction assay for Perkinsus marinus detection in oysters

Hyoun Joong Kim, S.D.N.K. Bathige, Jun‐Hee Lee, Hyung‐Bae Jeon et al.
4 citations
Scientific Reports
Marine Bivalve and Aquaculture Studies
1.13
article

A highly sensitive and specific real-time quantitative polymerase chain reaction assay for Perkinsus marinus detection in oysters

Hyoun Joong Kim, S.D.N.K. Bathige, Jun‐Hee Lee, Hyung‐Bae Jeon, Seung-Hyeon Kim, Kyung-Il Park
article en
4 citations

Abstract

Oyster aquaculture is one of the fastest-growing food production industries worldwide; however, it faces a significant challenge from the protist Perkinsus marinus, particularly in the USA. Although several quantitative molecular diagnostic methodologies are available for identifying diseases caused by P. marinus, the primer pairs used therein led to non-specific identification of other Perkinsus spp. Hence, a quantitative real-time PCR (Pm-qPCR) assay specific for P. marinus was developed using a TaqMan-based probe with the internal quencher in this study. A primer pair and probe specific to P. marinus were designed from a hypothetical protein of P. marinus collected from the whole-genome shotgun sequence database of the National Center for Biotechnology Information (NCBI). In silico analysis using homologous sequences of P. olseni and P. chesapeaki confirmed the high specificity of primers designed in this study. The Pm-qPCR assay was performed using seven different strains of P. marinus, P. olseni, and P. chesapeaki, revealing high specificity and sensitivity for detecting only P. marinus strains. In conclusion, it was demonstrated that Pm-qPCR can effectively and accurately diagnose P. marinus with high specificity and sensitivity. This assay is promising for monitoring oyster health and disease management in ecosystems and aquaculture.

Scientific ReportsVol. 14(1)
Kunsan National University (KR)
Ministry of Oceans and Fisheries, Korea Institute of Marine Science and Technology promotion
Life below water
Openalex Percentile: Top 23%
Marine Bivalve and Aquaculture Studies
1.13
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A highly sensitive and specific real-time quantitative polymerase chain reaction assay for Perkinsus marinus detection in oysters — Hyoun Joong Kim, S.D.N.K. Bathige, et al. · Scientific Reports (2024) | TGRS Research Map | TGRS