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Chatzoglou E, Tsaousi N, Apostolidis AP, Exadactylos A, Sandaltzopoulos R, Giantsis IA, Gkafas GA, Malandrakis EE, Sarantopoulou J, Tokamani M, Triantaphyllidis G, Miliou H. High-Resolution Melting (HRM) Analysis for Rapid Molecular Identification of Sparidae Species in the Greek Fish Market. Genes (Basel) 2023; 14:1255. [PMID: 37372435 DOI: 10.3390/genes14061255] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 06/05/2023] [Accepted: 06/08/2023] [Indexed: 06/29/2023] Open
Abstract
The red porgy (Pagrus pagrus) and the common dentex (Dentex dentex) are Sparidae species of high commercial value, traded in the Greek market. In some cases, fish species identification from Greek fisheries is difficult for the consumer due to the strong morphological similarities with their imported counterparts or closely related species such as Pagrus major, Pagrus caeroleustictus, Dentex gibbosus and Pagellus erythrinus, especially when specimens are frozen, filleted or cooked. Techniques based on DNA sequencing, such as COI barcoding, accurately identify species substitution incidents; however, they are time consuming and expensive. In this study, regions of mtDNA were analyzed with RFLPs, multiplex PCR and HRM in order to develop a rapid method for species identification within the Sparidae family. HRM analysis of a 113 bp region of cytb and/or a 156 bp region of 16s could discriminate raw or cooked samples of P. pagrus and D. dentex from the aforementioned closely related species and P. pagrus specimens sampled in the Mediterranean Sea when compared to those fished in the eastern Atlantic. HRM analysis exhibited high accuracy and repeatability, revealing incidents of mislabeling. Multiple samples can be analyzed within three hours, rendering this method a useful tool in fish fraud monitoring.
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Affiliation(s)
- Evanthia Chatzoglou
- Laboratory of Applied Hydrobiology, Department of Animal Science, School of Animal Biosciences, Agricultural University of Athens, 11855 Athens, Greece
| | - Nefeli Tsaousi
- Laboratory of Applied Hydrobiology, Department of Animal Science, School of Animal Biosciences, Agricultural University of Athens, 11855 Athens, Greece
| | - Apostolos P Apostolidis
- Laboratory of Fish & Fisheries, Department of Animal Production, School of Agriculture, Faculty of Agriculture, Forestry and Natural Environment, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
| | - Athanasios Exadactylos
- Hydrobiology-Ichthyology Lab, Department of Ichthyology and Aquatic Environment, School of Agricultural Sciences, University of Thessaly, 38446 Volos, Greece
| | - Raphael Sandaltzopoulos
- Department of Molecular Biology and Genetics, Democritus University of Thrace, 68100 Alexandroupolis, Greece
| | - Ioannis A Giantsis
- Department of Animal Science, Faculty of Agricultural Sciences, University of Western Macedonia, 53100 Florina, Greece
| | - Georgios A Gkafas
- Hydrobiology-Ichthyology Lab, Department of Ichthyology and Aquatic Environment, School of Agricultural Sciences, University of Thessaly, 38446 Volos, Greece
| | - Emmanouil E Malandrakis
- Laboratory of Applied Hydrobiology, Department of Animal Science, School of Animal Biosciences, Agricultural University of Athens, 11855 Athens, Greece
| | - Joanne Sarantopoulou
- Hydrobiology-Ichthyology Lab, Department of Ichthyology and Aquatic Environment, School of Agricultural Sciences, University of Thessaly, 38446 Volos, Greece
| | - Maria Tokamani
- Department of Molecular Biology and Genetics, Democritus University of Thrace, 68100 Alexandroupolis, Greece
| | - George Triantaphyllidis
- Laboratory of Applied Hydrobiology, Department of Animal Science, School of Animal Biosciences, Agricultural University of Athens, 11855 Athens, Greece
| | - Helen Miliou
- Laboratory of Applied Hydrobiology, Department of Animal Science, School of Animal Biosciences, Agricultural University of Athens, 11855 Athens, Greece
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Yin X, Xing R, Li Z, Hu B, Yang L, Deng R, Cao J, Chen Y. Real-time qPCR for the detection of puffer fish components from Lagocephalus in food: L. inermis, L. lagocephalus, L. gloveri, L. lunaris, and L. spadiceus. Front Nutr 2022; 9:1068767. [PMID: 36545464 PMCID: PMC9760932 DOI: 10.3389/fnut.2022.1068767] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Accepted: 11/21/2022] [Indexed: 12/11/2022] Open
Abstract
Puffer fish is a type of precious high-end aquatic product, is widely popular in Asia, especially in China and Japan, even though it naturally harbors a neurotoxin known as tetrodotoxin (TTX) that is poisonous to humans and causes food poisoning. With the increasing trade demand, which frequently exceeds existing supply capacities, fostering fraudulent practices, such as adulteration of processed products with non-certified farmed wild puffer fish species. To determine the authenticity of puffer fish processed food, we developed a real-time qPCR method to detect five common puffer fish species in aquatic products: Lagocephalus inermis, Lagocephalus lagocephalus, Lagocephalus gloveri, Lagocephalus lunaris, and Lagocephalus spadiceus. The specificity, cross-reactivity, detection limit, efficiency, and robustness of the primers and probes created for five species of puffer fish using TaqMan technology have been determined. No cross-reactivity was detected in the DNA of non-target sample materials, and no false-positive signal was detected; the aquatic products containing 0.1% of a small amount of wild puffer fish materials without certification can be reliably tracked; the statistical p-value for each method's Ct value was greater than 0.05. The developed qPCR method was sensitive, highly specific, robust, and reproducibility, which could be used to validate the authenticity of wild puffer fish in aquatic products sold for commercial purposes.
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Affiliation(s)
- Xinying Yin
- Key Laboratory of Biotechnology and Bioresources Utilization of Ministry of Education, Dalian Minzu University, Dalian, China
- Healthy Food Evaluation Research Center, College of Biomass Science and Engineering, Sichuan University, Chengdu, China
| | - Ranran Xing
- Chinese Academy of Inspection and Quarantine, Beijing, China
| | - Zhiru Li
- Key Laboratory of Biotechnology and Bioresources Utilization of Ministry of Education, Dalian Minzu University, Dalian, China
| | - Bing Hu
- Key Laboratory of Biotechnology and Bioresources Utilization of Ministry of Education, Dalian Minzu University, Dalian, China
| | - Lili Yang
- Key Laboratory of Biotechnology and Bioresources Utilization of Ministry of Education, Dalian Minzu University, Dalian, China
| | - Ruijie Deng
- Healthy Food Evaluation Research Center, College of Biomass Science and Engineering, Sichuan University, Chengdu, China
| | - Jijuan Cao
- Key Laboratory of Biotechnology and Bioresources Utilization of Ministry of Education, Dalian Minzu University, Dalian, China
| | - Ying Chen
- Chinese Academy of Inspection and Quarantine, Beijing, China
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Li J, Wei Y, Li J, Liu R, Xu S, Xiong S, Guo Y, Qiao X, Wang S. A novel duplex SYBR Green real-time PCR with melting curve analysis method for beef adulteration detection. Food Chem 2020; 338:127932. [PMID: 32932080 DOI: 10.1016/j.foodchem.2020.127932] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2019] [Revised: 07/30/2020] [Accepted: 08/23/2020] [Indexed: 01/09/2023]
Abstract
An efficient and reliable duplex SYBR Green real-time quantitative PCR (qPCR) method for beef products adulteration detection was developed based on bovine specific and vertebrate universal primers. By analyzing the numbers, positions (Tm value) of melting curve peaks of the duplex PCR products, we simultaneously identified bovine and preliminary screened non-bovine in samples, and also semi-quantified the bovine percentage according to the area ratios of peaks. All of these were necessary for adulteration determination. The specific and universal primers were designed based on mitochondrial genes ND4 and 16S rRNA respectively, their amplicons Tm values were 72.6 ± 0.5 °C and 79-81 °C. There might be some other peaks at 74-78 °C and above 81 °C if non-bovine components existed. Thelimit of detectionwas 1 pgforbovineDNA, and1 - 30 pg fornon-bovineDNAbasedon differentspecies.
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Affiliation(s)
- Jiapeng Li
- China Meat Research Center, 100068 Beijing, China; Beijing Key Laboratory of Meat Processing Technology, 100068 Beijing, China
| | - Yixuan Wei
- China Meat Research Center, 100068 Beijing, China; Beijing Key Laboratory of Meat Processing Technology, 100068 Beijing, China
| | - Jinchun Li
- China Meat Research Center, 100068 Beijing, China; Beijing Key Laboratory of Meat Processing Technology, 100068 Beijing, China
| | - Ruixi Liu
- China Meat Research Center, 100068 Beijing, China; Beijing Key Laboratory of Meat Processing Technology, 100068 Beijing, China
| | - Suigen Xu
- China Meat Research Center, 100068 Beijing, China; Beijing Key Laboratory of Meat Processing Technology, 100068 Beijing, China
| | - Suyue Xiong
- China Meat Research Center, 100068 Beijing, China; Beijing Key Laboratory of Meat Processing Technology, 100068 Beijing, China
| | - Ya Guo
- China Meat Research Center, 100068 Beijing, China; Beijing Key Laboratory of Meat Processing Technology, 100068 Beijing, China
| | - Xiaoling Qiao
- China Meat Research Center, 100068 Beijing, China; Beijing Key Laboratory of Meat Processing Technology, 100068 Beijing, China
| | - Shouwei Wang
- China Meat Research Center, 100068 Beijing, China; Beijing Key Laboratory of Meat Processing Technology, 100068 Beijing, China.
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Li J, Li J, Xu S, Xiong S, Yang J, Chen X, Wang S, Qiao X, Zhou T. A rapid and reliable multiplex PCR assay for simultaneous detection of fourteen animal species in two tubes. Food Chem 2019; 295:395-402. [PMID: 31174774 DOI: 10.1016/j.foodchem.2019.05.112] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2018] [Revised: 04/30/2019] [Accepted: 05/15/2019] [Indexed: 02/08/2023]
Abstract
A simple and rapid method for animal species identification to prevent food adulteration based on mitochondrial DNA using two independent multiplex polymerase chain reactions (PCRs) and microchip electrophoresis was developed. This method was designed to identify fourteen domestic animals (Group I: cattle, donkey, dog, fox, raccoon-dog, deer and horse; Group II: pig, sheep, goat, chicken, duck, cat and mouse) simultaneously using ten pairs of primers and three of which were degenerate primers. Sequences for species-specific primers were generated based on mitochondrial genes, including 12S rRNA, 16S rRNA, ND2 and CO I. This method was validated in terms of the specificity, sensitivity and practicability, and the developed multiplex PCR method was able to correctly identify animal species of raw meats and processed meat products. The detection limits of two multiplex PCRs were 0.02 ng DNA for animal species in Group I and 0.2 ng DNA for Group II, respectively.
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Affiliation(s)
- Jinchun Li
- China Meat Research Center, 100068 Beijing, China; Beijing Key Laboratory of Meat Processing Technology, 100068 Beijing, China
| | - Jiapeng Li
- China Meat Research Center, 100068 Beijing, China; Beijing Key Laboratory of Meat Processing Technology, 100068 Beijing, China.
| | - Suigen Xu
- China Meat Research Center, 100068 Beijing, China; Beijing Key Laboratory of Meat Processing Technology, 100068 Beijing, China
| | - Suyue Xiong
- China Meat Research Center, 100068 Beijing, China; Beijing Key Laboratory of Meat Processing Technology, 100068 Beijing, China
| | - Junna Yang
- China Meat Research Center, 100068 Beijing, China; Beijing Key Laboratory of Meat Processing Technology, 100068 Beijing, China
| | - Xi Chen
- China Meat Research Center, 100068 Beijing, China; Beijing Key Laboratory of Meat Processing Technology, 100068 Beijing, China
| | - Shouwei Wang
- China Meat Research Center, 100068 Beijing, China; Beijing Key Laboratory of Meat Processing Technology, 100068 Beijing, China
| | - Xiaoling Qiao
- China Meat Research Center, 100068 Beijing, China; Beijing Key Laboratory of Meat Processing Technology, 100068 Beijing, China
| | - Tong Zhou
- China Meat Research Center, 100068 Beijing, China; Beijing Key Laboratory of Meat Processing Technology, 100068 Beijing, China
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Verrez-Bagnis V, Sotelo CG, Mendes R, Silva H, Kappel K, Schröder U. Methods for Seafood Authenticity Testing in Europe. BIOACTIVE MOLECULES IN FOOD 2019. [DOI: 10.1007/978-3-319-78030-6_69] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
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Lo YT, Shaw PC. DNA-based techniques for authentication of processed food and food supplements. Food Chem 2018; 240:767-774. [DOI: 10.1016/j.foodchem.2017.08.022] [Citation(s) in RCA: 126] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2017] [Revised: 07/07/2017] [Accepted: 08/03/2017] [Indexed: 12/31/2022]
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Abdullah A, Rehbein H. DNA barcoding for the species identification of commercially important fishery products in Indonesian markets. Int J Food Sci Technol 2016. [DOI: 10.1111/ijfs.13278] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Asadatun Abdullah
- Department of Safety and Quality of Milk and Fish Products; Max Rubner-Institute; Palmaille 9 22767 Hamburg Germany
- Department of Aquatic Product Technology; Bogor Agricultural University; Bogor Indonesia
| | - Hartmut Rehbein
- Department of Safety and Quality of Milk and Fish Products; Max Rubner-Institute; Palmaille 9 22767 Hamburg Germany
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Authentication of closely related scombrid, catfish and tilapia species by PCR-based analysis and isoelectric focusing of parvalbumin. Eur Food Res Technol 2015. [DOI: 10.1007/s00217-015-2479-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Laknerová I, Zdeňková K, Purkrtová S, Piknová Ľ, Vyroubalová Š, Hanák P. Interlaboratory Identification of Black Seabream (S
pondyliosoma cantharus
) as a Model Species on Basis of Polymerase Chain Reaction Targeting the Second Intron of the Parvalbumin Gene. J FOOD QUALITY 2014. [DOI: 10.1111/jfq.12114] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
Affiliation(s)
- Ivana Laknerová
- Food Research Institute Prague; Radiová 1285/7 Praha 10 102 31 Czech Republic
| | | | | | | | | | - Petr Hanák
- Food Research Institute Prague; Radiová 1285/7 Praha 10 102 31 Czech Republic
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