Publications by authors named "Chun-Mae Dong"

Accurate origin determination of seafood is crucial for consumer trust and safety. This study was performed to develop a machine learning-based single-nucleotide polymorphism (SNP) analysis technique to determine the origin of species in salted small-shrimp products. Mitochondrial DNA (COI and 16S rRNA) analysis revealed genetic variations among species and origins.

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Article Synopsis
  • Pufferfish are important to the economy as edible fish, but misidentification can result in poisoning, making accurate species identification vital.
  • This study utilized the mtDNA COI gene to create specific primers that can quickly identify six of the 21 pufferfish species sold in Korea via a multiplex PCR method.
  • The method proved effective, allowing for the identification of each species within six hours, thus helping to prevent mislabeled fish, protect consumers, and reduce poisoning risks.
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Heat shock protein (HSP) 70, the highly conserved stress protein families, plays important roles in protecting cells against heat and other stresses in most animal species. In the present study, we identified and characterized four Hsp70 (RuHSP4, RuHSC70, RuHSP12A, RuGRP78) family proteins based on the expressed sequence tag (EST) analysis of the Korean rose bitterling R. uyekii cDNA library.

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Pen shell (Atrina pectinata) is a popular food source with a high commercial value in a number of Asian Pacific areas. The natural A. pectinata population has been declining continuously over the past several decades.

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In this study, we developed 20 polymorphic microsatellite markers for the Korean black scraper, Thamnaconus modestus (Günther, 1877), Monacanthidae, and used them to compare allelic variation between wild and hatchery populations in Korea. All loci were readily amplified and demonstrated allelic variability, with the number of alleles ranging from 5-35 in the wild population and 5-22 in the farmed population. The average observed and expected heterozygosities were estimated, respectively, as 0.

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