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DNA条形码和宏条形码技术在三文鱼产品物种鉴定中的应用

Application of DNA barcoding and metabarcoding for species identification in salmon products.

作者信息

Wang Nan, Xing Ran-Ran, Zhou Meng-Yue, Sun Rui-Xue, Han Jian-Xun, Zhang Jiu-Kai, Zheng Wen-Jie, Chen Ying

机构信息

Agro-product Safety Research Center, Chinese Academy of Inspection and Quarantine, Beijing, China.

College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, China.

出版信息

Food Addit Contam Part A Chem Anal Control Expo Risk Assess. 2021 May;38(5):754-768. doi: 10.1080/19440049.2020.1869324. Epub 2021 Mar 30.

DOI:10.1080/19440049.2020.1869324
PMID:33783328
Abstract

Mislabelling is a significant manifestation of food fraud. Traditional Sanger sequencing technology is the gold standard for seafood species identification. However, this method is not suitable for analysing processed samples that may contain more than one species. This study tested the feasibility of next-generation sequencing in identifying mixed salmon products. Salmon samples containing up to eight species were amplified using mini-barcode primers, and sequenced on an Illumina HiSeq2500 platform. All species were accurately identified, and mixtures as low as 1% (w/w) could be detected. Furthermore, this study conducted a market survey of 32 products labelled as salmon. For pure and mixed fish products, Sanger and next-generation sequencing techniques were respectively used for species identification, and for NGS results, we also used real-time PCR method to cross-validate the mixed products to further verify the accuracy of the DNA metabarcoding technology established in this study. DNA barcoding and metabarcoding of commercial salmon food products revealed the presence of mislabelling in 16 of 32 (50%) samples. The developed DNA barcoding and metabarcoding methods are useful for the identification of salmon species in food and can be used for quality control of various types of salmon products.

摘要

标签错误是食品欺诈的一个重要表现。传统的桑格测序技术是海鲜物种鉴定的金标准。然而,这种方法不适用于分析可能包含不止一个物种的加工样品。本研究测试了新一代测序技术在鉴定混合三文鱼产品方面的可行性。使用微型条形码引物对含有多达八个物种的三文鱼样品进行扩增,并在Illumina HiSeq2500平台上进行测序。所有物种均被准确鉴定,低至1%(w/w)的混合物也能被检测到。此外,本研究对32种标为三文鱼的产品进行了市场调查。对于纯鱼和混合鱼产品,分别使用桑格测序技术和新一代测序技术进行物种鉴定,对于新一代测序结果,我们还使用实时PCR方法对混合产品进行交叉验证,以进一步验证本研究建立的DNA宏条形码技术的准确性。对商业三文鱼食品进行的DNA条形码和宏条形码分析显示,32个样品中有16个(50%)存在标签错误。所开发的DNA条形码和宏条形码方法可用于食品中三文鱼物种的鉴定,并可用于各类三文鱼产品的质量控制。

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