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Development of Single-Nucleotide Polymorphism (SNP)-Based Species-Specific Real-Time PCR Assays for Authenticating Five Highly Priced Tuna

文献类型： 外文期刊

作者： Qu, Meng 1 ; Jiang, Yanhua 1 ; Li, Na 1 ; Guo, Yingying 1 ; Zhu, Wenjia 1 ; Li, Na 1 ; Zhao, Xinnan 1 ; Yao, Lin 1 ; Wang, Lianzhu 1 ;

作者机构： 1.Chinese Acad Fishery Sci, Minist Agr & Rural Affairs, Yellow Sea Fisheries Res Inst, Key Lab Testing & Evaluat Aquat Prod Safety & Qual, Qingdao 266071, Peoples R China

2.Shandong Inst Prod Qual Inspect, Jinan 250102, Peoples R China

关键词： tuna; species identification; 2b-RAD; SNP; real-time PCR

期刊名称：FOODS （ 影响因子：5.1； 五年影响因子：5.6 ）

ISSN：

年卷期： 2024 年 13 卷 22 期

页码：

收录情况： SCI

摘要： Tuna are economically important as food resources in food markets. However, because tuna is often processed into steaks or fillets, the meat can be difficult to identify through morphological features. For effective fishery management and to protect the rights of consumers, it is necessary to develop a molecular method to accurately identify the species used in tuna products. Herein, we discovered five single-nucleotide polymorphism (SNP) sites via 2b-RAD sequencing and developed five SNP-based real-time polymerase chain reaction assays for the rapid identification of five highly priced tuna species. Three species-specific TaqMan systems were designed to identify albacore tuna (Thunnus alalunga), bigeye tuna (T. obesus), and southern bluefin tuna (T. maccoyii) and two cycling systems were designed to identify yellowfin tuna (T. albacares) and Atlantic bluefin tuna (T. thynnus). The systems showed good specificity and sensitivity (sensitivity of 0.0002 ng mu L-1 for albacore tuna, bigeye tuna, and southern bluefin tuna and 0.002 ng mu L-1 for yellowfin tuna and Atlantic bluefin tuna). Both systems were able to distinguish the target species from other species in a specific, sensitive, and accurate manner. Thus, these methods can be employed for the identification of species used in tuna products, protecting consumers and producers from economic fraud.

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