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Article

DNA Barcoding Revealed Mislabeling of Imported Seafood Products in Thailand

by
Deep Nithun Senathipathi
1,
Soottawat Benjakul
1,
Phutthipong Sukkapat
1,
Matsapume Detcharoen
2,
Gururaj Moorthy
1 and
Jirakrit Saetang
1,*
1
International Center of Excellence in Seafood Science and Innovation, Faculty of Agro-Industry, Prince of Songkla University, Hat Yai 90110, Songkhla, Thailand
2
Division of Biological Science, Faculty of Science, Prince of Songkla University, Hat Yai 90110, Songkhla, Thailand
*
Author to whom correspondence should be addressed.
Fishes 2024, 9(6), 215; https://doi.org/10.3390/fishes9060215
Submission received: 26 April 2024 / Revised: 24 May 2024 / Accepted: 4 June 2024 / Published: 5 June 2024

Abstract

:
Seafood mislabeling threatens customer rights and causes economic loss worldwide. The information on seafood misrepresentation in Thailand is still lacking, and the investigation and monitoring program must be well established. This study investigated the mislabeling status of imported seafood in Thailand using the DNA barcoding technique. A total of 45 imported seafood products from five distributors were included. Scientific, common, local, and market names of seafood samples were obtained from FAO and Fishbase databases. DNA was extracted, and PCR was performed using a universal primer targeting the COI gene. Species of each sample were identified with over 98% similarity based on COI sequence analysis. DNA sequence revealed 11 mislabeled samples. Among substituted species, Pangasianodon hypophthalmus and Thunnus maccoyii were found to be endangered species according to IUCN status. Products obtained from Brand-C showed the highest mislabeling rate (42.85%). The phylogenetic analysis adopted with the TIM2+F+I+G4 model showed the sequenced DNA similar to the NCBI database reference sequence. Overall, mislabeled products of imported seafood were found at the rate of 24.44%, suggesting that strict surveillance for seafood substitution should be implemented in Thailand.
Key Contribution: The DNA barcoding analysis of seafood products retailed in Thailand unveiled a mislabeling prevalence of 24.44%, with two samples identified as endangered species based on the IUCN classification. Notably, the whole fish emerged as the category most significantly affected by mislabeling.

1. Introduction

Seafood is a commodity susceptible to fraud due to several factors, such as the similarities in morphology across species, the growing demand of international trade, complex supply networks, or high demand but a shortage of specific species [1,2,3]. The most common seafood fraud is product mislabeling, in which fish with high economic value are replaced by a lower monetary value counterpart [4]. This scenario typically happens with closely related marine species due to the similarity in flavor, texture, and appearance [5]. Moreover, seafood mislabeling has been considered a growing issue of concern since it has been reported in several countries, such as Canada, Spain, Taiwan, Greece, Italy, France, and Bulgaria [6,7,8,9,10,11]. Consumption of mislabeled products may consequently impact economic and ecological phenomena and raise food safety issues, such as the high risk of dangerous species adulteration or allergy-related problems [12].
In Thailand, the Food and Drug Administration of Thailand (FDA), along with the National Bureau of Agricultural Commodity and Food Standards (ACFS), is responsible for monitoring the national standard of processed foods, agricultural commodities, dairy, and fishery products [13]. However, the regulations of Thailand do not involve the strict declaration of the scientific name of seafood products on the label [8]. Therefore, the surveillance of the integrity of the seafood market, as well as the investigation of seafood mislabeling, is challenging in Thailand. This is particularly true for imported seafood products, mostly sold as processed commodities without morphological features. Moreover, the surveillance of seafood substitution has not been established. In addition, there is only one study assessing seafood mislabeling, which leads to the lack of information on the prevalence of seafood mislabeling in Thailand [8]. This may consequently result in violence against customer rights.
DNA barcoding is a standard method widely used for species identification until now [14], resulting in the identifying differences between closely related species [15]. Typically, mitochondrial genes are employed as a marker for animal identification since they are found in all living organisms, making them ubiquitous markers. Moreover, mitochondrial DNA provides many advantages, such as the intrinsic ability to resist degradation and high copy number compared to nuclear DNA [16]. Specifically, the cytochrome C oxidase subunit I (COI) gene is a typical marker in animal metabarcoding due to its comprehensive taxonomic coverage in verified databases, including NCBI GenBank and BOLD [17].
Despite seafood playing a vital role in Thailand, seafood mislabeling exposed to customers remains unclear. Therefore, this study aimed to investigate the current misrepresentation status of imported seafood products sold or distributed in Thailand using DNA barcoding. The universal primers targeting 700 bp of the COI gene were used for PCR amplification of isolated DNA from seafood samples.

2. Materials and Methods

2.1. Sample Collections and Preparation

A total of 45 seafood samples, including five samples of whole fish, one sample of the fish collar bone, one sample of sliced fish, 36 fish fillet samples, and two crustacean samples, were purchased randomly from various online and offline markets in Thailand. The criteria for selected samples are as follows: (1) All samples must be imported; (2) all samples should provide the common names/scientific names of species used on the labels; (3) all samples should be sold in processed formats, such as fillets, slices, deshelled, or deheaded products; (4) all samples were randomly purchased based on the availability in the markets (online and offline markets) without brand consideration. Only one sample was smoked before being frozen, while the remaining samples were unprocessed and subsequently frozen. The samples were collected and transferred to the laboratory at 4 °C. Subsequently, the samples were ground to achieve uniformity, and a portion of 50–100 mg was collected, packed in a zip-lock bag, and kept at –80 °C. All samples were assigned with a unique identification name for reference. The relevant information for each sample, including species, name of packaged products, processing method, brand, and importer name, was recorded. The samples were categorized into three groups based on their packaging and labeling attributes.

2.2. Scientific Name Identification

The scientific name of each product was determined by common names appearing on the packages by using the information based on The Food and Agriculture Organization (FAO) (https://www.fao.org/fishery/en/species (accessed on 15 June 2023)) and FishBase [18] database. The scientific names were assigned to all possible species for the products labeled with market names (such as snow fish), relying on the consensus local data.

2.3. DNA Extraction and Quality Evaluation

The DNA extraction was carried out using the QIAamp DNA Mini Kit (Qiagen, Hilden, Germany) following the manufacturer’s instructions. In brief, roughly 30 mg of seafood samples were excised with a scalpel and grounded, followed by the addition of lysis buffer and proteinase K solution. The mixture was incubated at 56 (±1) °C for cell lysis. The spin column was used for DNA binding with a silica spin filter during centrifugation. Ethanolic wash buffer was used to remove the contaminants, and the purified DNA was eluted with 50 µL of elution buffer. DNA quality was assessed using the NanoDrop Lite Plus Spectrophotometer (Thermo Fisher Scientific, Waltham, MA, USA). DNA purity was considered good when the A260/A280 ratio range of 1.8–2.2 and the A260/A230 ratio range of 1.8–2.0 were obtained. The DNA samples were stored at −20 °C until use. The agarose gel electrophoresis technique was then used to determine the integrity of the DNA.

2.4. Polymerase Chain Reaction (PCR) and Sequencing

The polymerase chain reaction (PCR) was performed using Mastercycler nexus—PCR Thermal Cycler (Eppendorf, Hamburg, Germany) with a reaction volume of 20 µL. AllTaq Master Mix Kit (Qiagen, Hilden, Germany) was used for PCR preparation. The universal primers targeting 700 bp of the COI gene were used for PCR amplification of isolated DNA from seafood samples [19]. The sequences are as follows: forward primer: 5′-TGTAAAACGACGGCCAGTCAACCAACCACAAAGACATTGGCAC-3′ and reverse primer: 5′-CAGGAAACAGCTATGACACTTCAGGGTGACCGAAGAATCAGAA-3′. The M13(-21) forward (5′-TGTAAAACGACGGCCAGT-3′) and M13(-27) reverse (5′-GGAAACAGCTATGAC-3′) tails were added for the sequencing of the PCR products. Additionally, universal primers targeting 18S rRNA (size 141 bp) were used as an endogenous control. The sequences of 18S rRNA primer are as follows: forward sequence: 5′-GGTAGTGACGAAAAATAACAATACAGGAC-3′ and reverse sequence: 5′-ATACGCTATTGGAGCTGGAATTACC-3′ [13].
The PCR reactions were prepared using 1X AllTaq buffer, containing 0.4 μM of each forward and reverse primer and 50–100 ng of DNA template. The PCR condition targeting COI started with an initial denaturation step at 95 °C for 2 min. Subsequently, a series of 30 PCR cycles was applied, each consisting of denaturation at 95 °C for 5 s, annealing at 50 °C for 45 s, and extension at 72 °C for 10 s. The final extension was performed at 72 °C for 10 min. For 18S rRNA primers, PCR amplification was initiated with denaturation at 95 °C for 2 min, followed by a series of 30 PCR cycles, each consisting of denaturation at 95 °C for 5 s, annealing at 59 °C for 30 s, and extension at 72 °C for 10 s and the final extension step at 72 °C for 5 min. The PCR results were observed using a 2% agarose gel electrophoresis, which was subsequently stained with a 1% ethidium bromide solution and observed under ultraviolet light. The amplified PCR product underwent purification using the PureLink Quick PCR purification kit (Invitrogen, Thermo Fisher Scientific, Waltham, MA, USA). Sanger sequencing was conducted for all PCR amplicons by outsourced services (U2Bio Co., Ltd., Seoul, Republic of Korea).

2.5. Data Analysis

The DNA chromatogram was edited using FinchTV version 1.4.0 (Geospiza, WA, USA). The edited DNA sequences were analyzed and compared via the nucleotide BLAST [20]. The criteria used to identify species are as follows: (1) All species identified by BLAST (including substituted species) were assigned to the samples based on the identical species name found in the top twenty BLAST search results with 98% sequence similarity [21]; (2) mislabeling was declared when the nucleotide BLAST result of the data from DNA barcoding does not provide the similarity of 98% or above on the DNA sequence expected as the single species identified on the seafood labels; (3) for the species under umbrella names (such as Alaska sole, Arctic cod, or Engawa), mislabeling was declared when the species identified by BLAST with 98% similarity or above does not match any scientific names of species under this umbrella. In general, the BLAST E-value indicates the number of alignments with scores are equivalent to or greater than expected in a database.
The conservation status of the samples was determined by identifying the IUCN status on the International Union for Conservation of Nature (IUCN) database (https://www.iucnredlist.org/ (accessed on 27 September 2023)) using scientific names obtained from BLAST analysis. The COI sequences were aligned using Clustal W implemented in MEGA version 11.0.3 [22]. The phylogenetic tree was constructed using IQ-TREE version 1.6.11 [23] with 1000 ultrafast bootstraps. The TIM2+F+I+G4 substitution model was selected using ModelFinder [24]. Pontoh’s pygmy seahorse (Hippocampus pontohi—NCBI accession no: MH645136.1) was used as an outgroup in this analysis.

3. Results

3.1. Seafood Samples and Package Labels

All samples were categorized into different groups according to their package labels. There were three major groups of labels found in the seafood products obtained involving (1) labels with scientific names and common names on the package (Figure 1A), (2) products with only transparent packages and the common name on them (Figure 1B), and (3) products vacuum sealed without any labeling on the product (Figure 1C). The information on seafood samples used in this study can be found in Table 1. Specifically, six samples provided the scientific name on the product package, including two crustacean samples (ASS-N5 and RS-N5) and four fish samples (AOAA-N6, AOAO-N6, RTMS-N6, and AS-N1). Moreover, five samples were packed in vacuum-sealed packages without the mentioned details on the scientific names, including horse mackerel (HM-N1, HM-N2), green-eyed fish (GEF-N1), capelin (CAP-N3), Engawa (ENG-N5), and Tsubugai (TSB-N5/N4). Therefore, the scientific names of these samples were mentioned as inconclusive. The remaining samples were packed in transparent packaging, mentioning only the product names.

3.2. Seafood Mislabeling and IUCN Status Identifications

Polymerase chain reaction (PCR) revealed the appearance of a single DNA band of COI amplicon in the gel for each sample, indicating the adequate amplification of 700 bp of COI amplicon (Figure 2). After the identification of the scientific names of each sample, seven samples were found to be ambiguous products, including snow fish, Arctic cod, Engawa slices, Tsubugai sashimi, and Alaska sole portion (Table 2). These common market names can refer to more than one species of marine animals. Sanger sequencing revealed ten samples, which were mislabeled or substituted, including Limanda aspera (yellowfin sole), Oncorhynchus mykiss (rainbow trout), Trachurus trachurus (horse mackerel), Oncorhynchus kisutch (coho salmon), Lepidocybium flavobrunneum (escolar), Atheresthes stomias (arrowtooth flounder), Reinhardtius hippoglossoides (Greenland halibut), Phractocephalus hemioliopterus (redtail catfish), Pangasianodon hypophthalmus (iridescent shark), and Oreochromis urolepis (Wami tilapia) (Table 2). Moreover, two substituted samples were classified as endangered species in the IUCN red list, including Pangasianodon hypophthalmus and Thunnus maccoyii.

3.3. Seafood Mislabeling in the Aspects of Brands, Product Types, and Species

Different proportions of product mislabeling regarding retailers are demonstrated in Figure 3A. The rates of mislabeling were as follows: Brand-C exhibited the most remarkable mislabeling rate of 42.85%, followed by Brand-B, with a rate of 18.75%, and Brand-D, with the lowest rate of 11.11%. When considering the mislabeling rate based on types of seafood products, whole fish showed the highest rate of mislabeling (40%), followed by fillets (25%; Figure 3B). Inter-species substitutions were discerned among the sampled specimens, notably occurring within the same taxonomic families. For instance, various salmon species within the Salmonidae family, including coho salmon and rainbow trout, were identified, resulting in a mislabeling rate of 33% among the total salmon samples. Similarly, mackerel fish, affiliated with the Carangidae family, displayed substitution instances between Japanese horse mackerel and Atlantic horse mackerel. Furthermore, within the Cichlidae family, substitutions were particularly evident in tilapia, with Nile tilapia and Wami tilapia identified as among the detected substitutes. Additionally, instances of mislabeling were observed in fillet product packaging, where flathead sole was substituted with Yellowfin sole and Olive flounder with Arrowtooth flounder of the Pleuronectidae family, resulting in 100% mislabeling within these three families.

3.4. Phylogenetic Comparison of Mislabeled Samples

A phylogenetic tree was constructed using barcode sequences obtained from mislabeled samples. Samples labeled as Engawa slice (ENG-N5) and Tsubugai sashimi grade (TSB-N5) showed the highest degree of similarity (96% and 99%, respectively) to the known reference sequence of Reinhardtius hippoglossoides (Figure 4). Similarly, the other seafood samples were identified to be incorrectly labeled on the package. The highest similarity of an organism obtained from phylogenetic analysis for each mislabeled sample was as follows (sample: species identified format): AFS-N1: Limanda aspera, HIR-N3: Atheresthes stomias, HM-N2: Trachurus trachurus, AS-N1: Oncorhynchus mykiss, AS-N2: Oncorhynchus kisutch, COD-N3: Lepidocybium flavobrunneum, RT-N3: Oreochromis urolepis, RTMS-N6: Phractocephalus hemioliopterus, and RTC-N6: Pangasianodon hypophthalmus. The pair mentioned above samples also exhibited high similarity (96–99%), signifying the mislabeling.

4. Discussion

DNA barcoding is a standard method used for seafood authentication [8]. This method employed the conserved DNA sequence of mitochondrial genes, such as COI, Cytochrome b, or 16S rDNA, for species identification [8,25]. DNA barcodes of full-length COI genes were successfully amplified with more than 80% of seafood samples [8,26]. Additionally, the entire length of the COI gene primer with M13 tails was more precise and effective for sequencing than the conventional primers without M13 [19].
In this study, although most seafood products were successfully identified at the species level through DNA barcoding, determining the scientific names from the typical, market, and local names based on the product packaging labels was challenging because declaring the product species on the label is not compulsory in Thailand [8]. Some fish products share similar market names with other species, leading to customers’ misconceptions about the species they require. For example, snow fish can refer to several kinds of oily white flesh fish species, such as Anoplopoma fimbria (gindara), Dissostichus eleginoides (Patagonian toothfish), or Lepidocybium flavobrunneum (escolar) [27]. This phenomenon was confirmed by the finding in this study, in which two species sold as snow fish showed obvious differences in the country of origin and price. Two different species were also identified under this market name, including Anoplopoma fimbria (gindara) and Dissostichus eleginoides (Patagonian toothfish), by DNA barcoding. Since proper labeling provides information that influences customers’ decisions, a precise and complete label should be mandatory for the manufacturer [8].
The present study revealed the mislabeling of imported seafood products generally sold in Thailand. The information from FAO and Fishbase databases was used to find the scientific names of each product included in this study. Fishbase is a vast database on fish taxonomy, ecology, and biology. This database has been successfully applied to identifying marine species by many publications [21,28,29,30]. FAO, another website with statistical databases, also provides reliable information on nutrition, food, agriculture, fisheries and aquaculture, and many sub-divisions of the FAO’s mandate [31]. As a result, salmon was found to be the species with the highest rate of substitution, mostly misrepresented by Oncorhynchus mykiss (Rainbow trout, AS-N1) and Oncorhynchus kisutch (Coho salmon, AS-N2). This finding was in accordance with the previous study, in which the most common marine mislabeled species were Salmo salar, Oncorhynchus mykiss, Oncorhynchus kisutch, Gadus chalcogrammus, Oreochromis niloticus, and Pangasianodon hypophthalmus [8,32]. Although all these species are a member of the salmonids genera, they are different in terms of pricing and the quality of their meat [8,33].
The adulteration of health-threatening species is one of the issues of concern in the seafood mislabeling situation. DNA barcoding of imported seafood revealed the substitution of Atlantic cod (Gadus morhua; sample COD-N3) for escolar fish (Lepidocybium flavobrunneum), which may cause gastrointestinal illness, such as abdominal cramping, nausea, vomiting, and diarrhea [34] due to the high proportion of oil in their meat [27]. This oily fish was also reported to be used as a substitute for tuna species in Brazil [35,36]. Therefore, the surveillance of using escolar for substitution is crucial to prevent the occurrence of seafood-related illnesses.
Seafood misrepresentation does not involve only customer rights and transparency issues. The substitution has also affected the sustainability implications, particularly the replacement by the IUCN Red List of Threatened Species. In this study, two seafood products were substituted by threatened species, including horse mackerel (sample HM-N1) and redtail catfish (sample RTC-N6). Horse mackerel (Japanese horse mackerel or Aji) is a popular fishing species that is high in nutrition at a low price. However, DNA barcoding revealed the misrepresentation of Japanese horse mackerel replaced by Atlantic horse mackerel (Trachurus trachurus), which has been listed as “vulnerable” on the IUCN’s red list of threatened species. Interestingly, although both horse mackerel are a member of the Trachurus genera, the distribution of each species is totally different in terms of geographical habitat. While Japanese horse mackerel is found in the Northwest Pacific Ocean from southern Japan, along the Korean Peninsula to the East China Sea, the distribution of Atlantic horse mackerel is around the Eastern Atlantic Ocean to South Africa and northward extending into the Mediterranean Sea and the Atlantic coasts of Europe [37]. In Spain, the bluefin tuna (Thunnus thynnus) has the highest substitution rate, with 58% substituted by other less expensive tuna species, such as yellowfin (Thunnus albacares) and bigeye (Thunnus obesus) [36]. This implies the complexity of the seafood supply chain in addition to the morphological resemblance, which may contribute to mislabeling/misrepresentation for intentional or unintentional purposes [37].
Another threatened species found in this study was Pangasianodon hypophthalmus, commonly known as pangasius or striped catfish. This freshwater species belongs to the family Pangasiidae, which is often mislabeled with Pangasius bocourti as both species belonging to the same family [38]. Pangasianodon hypophthalmus has gained significant popularity and widespread consumption in Thailand due to its successful artificial breeding endeavors initiated in 1966. It is likely that the striped catfish is one of the species most involved in mislabeling since its white flesh makes an easy substitute for a variety of expensive white flesh fish species. For example, European perch (Perca fluviatilis) was reported to be substituted by P. hypophthalmus in Italy [9]. The replacement by using striped catfish was also found in snapper, grouper, sole, cod, and even sharks [39,40]. In Southeast Asian supermarkets, frozen striped catfish fillets are commonly mislabeled as a dory, probably as an inference to fishes under the John Dory fish family (Zeidae) [41].
As per the IUCN red list, Pangasianodon hypophthalmus is labeled as an endangered species which cannot be sold commercially. However, the consumption of endangered species is still documented in the vast seafood trade. Several endangered species have been illegally imported as fisheries products, such as narrow sawfish (Anoxypristis cuspidata) in Australia [42], bluefin tuna (Thunnus thynnus) in Belgium [43], and scalloped hammerhead (Sphyrna lewini) in Canada. Thunnus maccoyii (AOAA-N6 and AOAO-N6), known as Southern bluefin tuna, has been designated as endangered by the IUCN red list since 1996. It was reported that stock abundance of Southern bluefin tuna dropped by 90% within 29 years in 1996. The population will not be extinct if the stock decreases by 90% within 30 years due to the long generation time for Southern bluefin tuna (15 years) [44]. However, it is still sold commercially despite being classified as endangered.

5. Conclusions

The species of a total of 45 seafood products, including fish and shrimp, were successfully identified using the DNA barcoding technique. The mislabeling rate is relatively high, about 24.44%, in which salmon showed the highest rate of misrepresentation. There are some products using generic and ambiguous terms as market names, such as snow fish, which have been used as a name for three fish species, including gindara, Patagonian toothfish, and escolar. Moreover, one product was substituted by vulnerable species listed in the IUCN Red List of Threatened Species. The universal primer used in this study was suitable for identifying natural and raw products such as fillets and less processed fish products. Distinguishing species and scientific names for each sample from common, market, and local names on product packaging labels is still required to conquer the mislabeling of seafood and products. It can be used by both governmental agencies and industry for seafood authentication monitoring, contributing to the transparency of the seafood market in Thailand and worldwide.

Author Contributions

Conceptualization, J.S. and D.N.S.; methodology, J.S. and D.N.S.; software, M.D. and D.N.S.; investigation, D.N.S. and P.S.; resources, J.S. and S.B.; data curation, J.S., D.N.S. and G.M.; writing—original draft preparation, D.N.S. and J.S.; writing—review and editing, J.S., S.B. and M.D.; supervision, J.S.; project administration, J.S. and S.B; funding acquisition, J.S. and S.B. All authors have read and agreed to the published version of the manuscript.

Funding

This research was supported by Prince of Songkla University (Grant no. AGR6602013S). The International Research Network program (IRN) and the Reinventing University Program at Prince of Songkla University are also acknowledged.

Institutional Review Board Statement

Not applicable.

Data Availability Statement

Data will be made available on request.

Acknowledgments

The authors gratefully acknowledge the research facility supported by the International Center of Excellence in Seafood Science and Innovation, Faculty of Agro-Industry, Prince of Songkla University, Hat Yai, Thailand.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. FAO, Food and Agriculture Organization of the United Nations. Rome. 2018. Available online: https://www.fao.org/home/en (accessed on 25 September 2023).
  2. Cundy, M.E.; Santana-Garcon, J.; McLennan, A.G.; Ayad, M.E.; Bayer, P.E.; Cooper, M.; Corrigan, S.; Harrison, E.; Wilcox, C. Seafood label quality and mislabeling rates hamper consumer choices for sustainability in Australia. Sci. Rep. 2023, 13, 10146. [Google Scholar] [CrossRef] [PubMed]
  3. Fox, M.; Mitchell, M.; Dean, M.; Elliott, C.; Campbell, K. The seafood supply chain from a fraudulent perspective. Food Secur. 2018, 10, 939–963. [Google Scholar] [CrossRef]
  4. Kitch, C.J.; Tabb, A.M.; Marquis, G.E.; Hellberg, R.S. Species substitution and mislabeling of ceviche, poke, and sushi dishes sold in Orange County, California. Food Control 2023, 146, 109525. [Google Scholar] [CrossRef]
  5. Li, H.; Xie, R.; Yu, W.; Wang, N.; Chen, A. Rapid identification of cod and oil fish components based on loop-mediated isothermal amplification. Aquaculture 2021, 545, 737209. [Google Scholar] [CrossRef]
  6. Minoudi, S.; Karaiskou, N.; Avgeris, M.; Gkagkavouzis, K.; Tarantili, P.; Triantafyllidou, D.; Palilis, L.; Avramopoulou, V.; Tsikliras, A.; Barmperis, K. Seafood mislabeling in Greek market using DNA barcoding. Food Control 2020, 113, 107213. [Google Scholar] [CrossRef]
  7. Pardo, M.Á.; Jiménez, E. DNA barcoding revealing seafood mislabeling in food services from Spain. J. Food Compos. Anal. 2020, 91, 103521. [Google Scholar] [CrossRef]
  8. Panprommin, D.; Manosri, R. DNA barcoding as an approach for species traceability and labeling accuracy of fish fillet products in Thailand. Food Control 2022, 136, 108895. [Google Scholar] [CrossRef]
  9. Pappalardo, A.M.; Giuga, M.; Raffa, A.; Nania, M.; Rossitto, L.; Calogero, G.S.; Ferrito, V. COIBar-RFLP molecular strategy discriminates species and unveils commercial frauds in fishery products. Foods 2022, 11, 1569. [Google Scholar] [CrossRef] [PubMed]
  10. Feldmann, F.; Ardura, A.; Blanco-Fernandez, C.; Garcia-Vazquez, E. DNA Analysis detects different mislabeling trend by country in European cod fillets. Foods 2021, 10, 1515. [Google Scholar] [CrossRef] [PubMed]
  11. Deconinck, D.; Volckaert, F.A.; Hostens, K.; Panicz, R.; Eljasik, P.; Faria, M.; Monteiro, C.S.; Robbens, J.; Derycke, S. A high-quality genetic reference database for European commercial fishes reveals substitution fraud of processed Atlantic cod (Gadus morhua) and common sole (Solea solea) at different steps in the Belgian supply chain. Food Chem. Toxicol. 2020, 141, 111417. [Google Scholar] [CrossRef] [PubMed]
  12. Xiong, X.; Yao, L.; Ying, X.; Lu, L.; Guardone, L.; Armani, A.; Guidi, A.; Xiong, X. Multiple fish species identified from China’s roasted Xue Yu fillet products using DNA and mini-DNA barcoding: Implications on human health and marine sustainability. Food Control 2018, 88, 123–130. [Google Scholar] [CrossRef]
  13. Sultana, S.; Ali, M.E.; Hossain, M.M.; Naquiah, N.; Zaidul, I. Universal mini COI barcode for the identification of fish species in processed products. Food Res. Int. 2018, 105, 19–28. [Google Scholar] [CrossRef] [PubMed]
  14. Hanner, R.; Becker, S.; Ivanova, N.V.; Steinke, D. FISH-BOL and seafood identification: Geographically dispersed case studies reveal systemic market substitution across Canada. Mitochondrial DNA 2011, 22, 106–122. [Google Scholar] [CrossRef] [PubMed]
  15. Hebert, P.D.N.; Stoeckle, M.Y.; Zemlak, T.S.; Francis, C.M. Identification of birds through DNA barcodes. PLoS Biol. 2004, 2, e312. [Google Scholar] [CrossRef] [PubMed]
  16. Merheb, M.; Matar, R.; Hodeify, R.; Siddiqui, S.S.; Vazhappilly, C.G.; Marton, J.; Azharuddin, S.; Al Zouabi, H. Mitochondrial DNA, a powerful tool to decipher ancient human civilization from domestication to music, and to uncover historical murder cases. Cells 2019, 8, 433. [Google Scholar] [CrossRef] [PubMed]
  17. Liu, K.; Zhao, S.; Yu, Z.; Zhou, Y.; Yang, J.; Zhao, R.; Yang, C.; Ma, W.; Wang, X.; Feng, M. Application of DNA barcoding in fish identification of supermarkets in Henan province, China: More and longer COI gene sequences were obtained by designing new primers. Food Res. Int. 2020, 136, 109516. [Google Scholar] [CrossRef] [PubMed]
  18. Froese, R.a.D.P. FishBase. World Wide Web Electronic Publication. 2023. Available online: www.fishbase.org (accessed on 5 March 2023).
  19. Ivanova, N.V.; Zemlak, T.S.; Hanner, R.H.; Hebert, P.D. Universal primer cocktails for fish DNA barcoding. Mol. Ecol. Notes 2007, 7, 544–548. [Google Scholar] [CrossRef]
  20. Altschul, S.F.; Gish, W.; Miller, W.; Myers, E.W.; Lipman, D.J. Basic local alignment search tool. J. Mol. Biol. 1990, 215, 403–410. [Google Scholar] [CrossRef] [PubMed]
  21. Wong, E.H.-K.; Hanner, R.H. DNA barcoding detects market substitution in North American seafood. Food Res. Int. 2008, 41, 828–837. [Google Scholar] [CrossRef]
  22. Higgins, D. CLUSTAL W: Improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice. Nucleic Acids Res. 1994, 22, 4673–4680. [Google Scholar]
  23. Minh, B.Q.; Schmidt, H.A.; Chernomor, O.; Schrempf, D.; Woodhams, M.D.; Von Haeseler, A.; Lanfear, R. IQ-TREE 2: New models and efficient methods for phylogenetic inference in the genomic era. Mol. Biol. Evol. 2020, 37, 1530–1534. [Google Scholar] [CrossRef] [PubMed]
  24. Kalyaanamoorthy, S.; Minh, B.Q.; Wong, T.K.; Von Haeseler, A.; Jermiin, L.S. ModelFinder: Fast model selection for accurate phylogenetic estimates. Nat. Methods 2017, 14, 587–589. [Google Scholar] [CrossRef] [PubMed]
  25. Fernandes, T.J.; Amaral, J.S.; Mafra, I. DNA barcode markers applied to seafood authentication: An updated review. Crit. Rev. Food Sci. Nutr. 2021, 61, 3904–3935. [Google Scholar] [CrossRef] [PubMed]
  26. Günther, B.; Raupach, M.J.; Knebelsberger, T. Full-length and mini-length DNA barcoding for the identification of seafood commercially traded in Germany. Food Control 2017, 73, 922–929. [Google Scholar] [CrossRef]
  27. Ling, K.H.; Cheung, C.W.; Cheng, S.W.; Cheng, L.; Li, S.-L.; Nichols, P.D.; Ward, R.D.; Graham, A.; But, P.P.-H. Rapid detection of oilfish and escolar in fish steaks: A tool to prevent keriorrhea episodes. Food Chem. 2008, 110, 538–546. [Google Scholar] [CrossRef] [PubMed]
  28. Boden, G.; Musschoot, T.; Snoeks, J. African fish biodiversity, fishbase and fishculture. Trop. SPE 2004, 37–43. Available online: http://www.tropicultura.org/eng/content/v22ns.html (accessed on 5 March 2023).
  29. Panprommin, D.; Soontornprasit, K.; Tuncharoen, S.; Iamchuen, N. The utility of DNA barcoding for the species identification of larval fish in the lower ing river, Thailand. Turk. J. Fish. Aquat. Sci. 2020, 20, 671–679. [Google Scholar] [CrossRef] [PubMed]
  30. Ward, R.D.; Zemlak, T.S.; Innes, B.H.; Last, P.R.; Hebert, P.D. DNA barcoding Australia's fish species. Philos. Trans. R. Soc. B Biol. Sci. 2005, 360, 1847–1857. [Google Scholar] [CrossRef]
  31. Garibaldi, L.; Caddy, J.F. Depleted Marine Resources: An Approach to Quantification Based on the FAO Capture Database; Food and Agriculture Organization of the United Nations: Rome, Italy, 2004. [Google Scholar]
  32. Cawthorn, D.-M.; Steinman, H.A.; Witthuhn, R.C. DNA barcoding reveals a high incidence of fish species misrepresentation and substitution on the South African market. Food Res. Int. 2012, 46, 30–40. [Google Scholar] [CrossRef]
  33. Rørå, A.M.B.; Kvåle, A.; Mørkøre, T.; Rørvik, K.-A.; Hallbjoørn, S.; Thomassen, S.; Magny, S. Process yield, colour and sensory quality of smoked Atlantic salmon (Salmo salar) in relation to raw material characteristics. Food Res. Int. 1998, 31, 601–609. [Google Scholar] [CrossRef]
  34. Unicomb, L.; Kirk, M.; Yohannes, K.; Dalton, C.; Halliday, L. An outbreak of gastrointestinal illness associated with the consumption of escolar fish. Commun. Dis. Intell. Q. Rep. 2002, 26, 441–445. [Google Scholar]
  35. Staffen, C.F.; Staffen, M.D.; Becker, M.L.; Löfgren, S.E.; Muniz, Y.C.N.; de Freitas, R.H.A.; Marrero, A.R. DNA barcoding reveals the mislabeling of fish in a popular tourist destination in Brazil. PeerJ 2017, 5, e4006. [Google Scholar] [CrossRef] [PubMed]
  36. Pardo, M.Á.; Jiménez, E.; Viðarsson, J.R.; Ólafsson, K.; Ólafsdóttir, G.; Daníelsdóttir, A.K.; Pérez-Villareal, B. DNA barcoding revealing mislabeling of seafood in European mass caterings. Food Control 2018, 92, 7–16. [Google Scholar] [CrossRef]
  37. Takashima, Y.; Morita, T.; Yamashita, M. Complete mitochondrial DNA sequence of Atlantic horse mackerel Trachurus trachurus and molecular identification of two commercially important species T. trachurus and T. japonicus using PCR-RFLP. Fish. Sci. 2006, 72, 1054–1065. [Google Scholar] [CrossRef]
  38. Galal-Khallaf, A.; Ardura, A.; Mohammed-Geba, K.; Borrell, Y.J.; Garcia-Vazquez, E. DNA barcoding reveals a high level of mislabeling in Egyptian fish fillets. Food Control 2014, 46, 441–445. [Google Scholar] [CrossRef]
  39. Razali, N.A.S.; Bakar, Y.; Mohd-Assaad, N.; Ghazali, S.M. Mislabelled frozen fish fillets in the Klang Valley in Malaysia and its potential impact on consumers. J. Consum. Prot. Food Saf. 2022, 17, 145–154. [Google Scholar] [CrossRef]
  40. Helgoe, J.; Oswald, K.J.; Quattro, J.M. A comprehensive analysis of the mislabeling of Atlantic cod (Gadus morhua) products in Spain. Fish. Res. 2020, 222, 105400. [Google Scholar] [CrossRef]
  41. Nurul, H.; Boni, I.; Noryati, I. The effect of different ratios of Dory fish to tapioca flour on the linear expansion, oil absorption, colour and hardness of fish crackers. Int. Food Res. J. 2009, 16, 159–165. [Google Scholar]
  42. Holmes, B.H.; Steinke, D.; Ward, R.D. Identification of shark and ray fins using DNA barcoding. Fish. Res. 2009, 95, 280–288. [Google Scholar] [CrossRef]
  43. Christiansen, H.; Fournier, N.; Hellemans, B.; Volckaert, F.A. Seafood substitution and mislabeling in Brussels’ restaurants and canteens. Food Control 2018, 85, 66–75. [Google Scholar] [CrossRef]
  44. Matsuda, H.; Mori, M. Why Is the Tuna Critically Endangered and Still Sold in the Market? Ecol. Risk Manag. Conserv. Biol. Ecotoxicol. 2021, 119–134. [Google Scholar] [CrossRef]
Figure 1. Examples of seafood packages obtained in this study. (A) A product labeled with a scientific name and common name. (B) Products are packed in a transparent bag with only a common name printed on paper. (C) Vacuum-sealed product without labeling.
Figure 1. Examples of seafood packages obtained in this study. (A) A product labeled with a scientific name and common name. (B) Products are packed in a transparent bag with only a common name printed on paper. (C) Vacuum-sealed product without labeling.
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Figure 2. Agarose gel electrophoresis of COI amplicons of seafood samples. The PCR products of all samples demonstrated a size of 700 bp. Each sample is given with the reference no. 1–45 corresponding to those appearing in Table 1. Marker: 100 bp DNA ladder and NC: Negative control.
Figure 2. Agarose gel electrophoresis of COI amplicons of seafood samples. The PCR products of all samples demonstrated a size of 700 bp. Each sample is given with the reference no. 1–45 corresponding to those appearing in Table 1. Marker: 100 bp DNA ladder and NC: Negative control.
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Figure 3. (A) The ratio of mislabeled products compared with total products from each brand. The mislabeling rates of Brand-C, Brand-B, and Brand-D were 42.85%, 18.75%, and 11.11%, respectively. For Brand-E, the percentage of mislabeling was 100%. (B) The ratio of the type of mislabeled seafood sample was computed relative to the total products purchased. (C) Total seafood samples were substituted and mislabeled between family and species levels.
Figure 3. (A) The ratio of mislabeled products compared with total products from each brand. The mislabeling rates of Brand-C, Brand-B, and Brand-D were 42.85%, 18.75%, and 11.11%, respectively. For Brand-E, the percentage of mislabeling was 100%. (B) The ratio of the type of mislabeled seafood sample was computed relative to the total products purchased. (C) Total seafood samples were substituted and mislabeled between family and species levels.
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Figure 4. Rooted maximum likelihood phylogenetic tree constructed using the DNA sequence of mislabeled commercial fish products with the NCBI reference GenBank database. Bootstrap values are shown at each node. Hippocampus species was used as an outgroup.
Figure 4. Rooted maximum likelihood phylogenetic tree constructed using the DNA sequence of mislabeled commercial fish products with the NCBI reference GenBank database. Bootstrap values are shown at each node. Hippocampus species was used as an outgroup.
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Table 1. List of all seafood samples with brands, types, and distributors of samples.
Table 1. List of all seafood samples with brands, types, and distributors of samples.
NoSeafood SamplesProduct TypePackaged NameSample Name/IDSample TypeBrand/Distributors
1FishFrozenTrout (fjord)/rainbow troutTrFilletBrand-D
2FishFrozenKing salmonKSFilletBrand-D
3FishFrozenSockeye salmonSSFilletBrand-D
4FishFrozenJapanese amberjack (Hamachi)HmFilletBrand-A
5FishFrozenAlaska flathead soleAFS-N1FilletBrand-B
6FishFrozenYellow tail collar meatYTF-N1Collar bone/headBrand-B
7FishFrozen smoked Atlantic salmon (Norwegian) smoked black pepperAS-N1FilletBrand-C
8FishFrozenHorse mackerel—aji fry breadedHM-N1Whole fishBrand-C
9FishFrozenGreeneye fish (Mehikari)GEF-N1Whole fishBrand-C
10FishFrozenKanetuka (Alaska pollock)KAN-N2FilletBrand-C
11FishFrozenSockeye salmon (Alaska)SS-N2FilletBrand-C
12FishFrozenHalibutHAL-N2FilletBrand-C
13FishFrozenHorse mackerel—dried aji hirakiHM-N2Whole fishBrand-C
14FishFrozenAlaska pollock ALP-N2FilletBrand-C
15FishFrozenQR code (cobia)QRFilletBrand-C
16FishFrozenAtlantic salmon AS-N2FilletBrand-C
17FishFrozenSnow fish (fillet)SNF-N3FilletBrand-C
18FishFrozenCod fish (fillet)COD-N3FilletBrand-C
19FishFrozenHirame fillet HIR-N3FilletBrand-C
20FishFrozenCapelinCAP-N3Whole fishBrand-A
21FishFrozenHalibutHAL-N3FilletBrand-A
22FishFrozenSnow fish (fillet)SNF-N3aFilletBrand-A
23FishFrozenSnow fish (kimiri)SNF-K-N3FilletBrand-A
24FishFrozenRed tilapiaRT-N3Whole fishBrand-D
25FishFrozenHallibut fillet HAL-N3aFilletBrand-D
26FishFrozenSnow fish filletSNF-N3bFilletBrand-D
27FishFrozenDory fishPD-N3FilletBrand-D
28FishFrozenArctic codA-COD-N3FilletBrand-D
29FishFrozenBlack codB-COD-N3FilletBrand-D
30FishFrozenPangasius doryPD-N5FilletBrand-B
31FishFrozenFish sashimi hiramasaFSM-N5FilletBrand-B
32FishFrozenEngawa sliceENG-N5FilletBrand-B
33ShrimpFrozenArgentina sweet shrimpASS-N5Whole shrimpBrand-B
34ShrimpFrozenRed shrimp (akeabi)RS-N5Whole shrimpBrand-B
35FishFrozenTsubugai sashimi gradeTSB-N5FilletBrand-B
36FishFrozenFish sashimi hamachiFSP-N5FilletBrand-B
37FishFrozenAlaska sole portionASP-N6FilletBrand-B
38FishFrozenAkami akamiAOAA-N6FilletBrand-B
39FishFrozenAkami otoro AOAO-N6FilletBrand-B
40FishFrozenAlaska pollack portionAPP-N6FilletBrand-B
41FishFrozenTuna steakTS-N6FilletBrand-B
42FishFrozenTuna head to tailTHT-N6FilletBrand-B
43FishFrozenDried shima hokke hiraki (atka mackerel)SHH-N6FilletBrand-B
44FishFrozenRed-tailed mystus sliceRTMS-N6SliceBrand-E
45FishFrozenRedtail catfishRTC-N6FilletBrand-C
Table 2. Mislabeled seafood samples identified using the sequence of COI gene and BLAST analysis.
Table 2. Mislabeled seafood samples identified using the sequence of COI gene and BLAST analysis.
No.Seafood SamplesProduct TypePackaged NameScientific NameRemarksSample IDBLAST Identified ResultsMislabeledBrandsIdentified
Species
** IUCN Status of Identified Species
Forward SequenceReverse SequenceIdentity PercentageGenBank Accession No.
1FishFrozenTrout (fjord)/rainbow troutOncorhynchus mykiss Tr99%ON097695.1NoBrand-D-NE
2FishFrozenKing salmonOncorhynchus tshawytscha KS99%OL457394.1NoBrand-D-NE
3FishFrozenSockeye salmonOncorhynchus nerka SS99%KF278764.1NoBrand-D-LC
4FishFrozenJapanese amberjack (Hamachi)Seriola quinqueradiata Hm100%OQ932939.1NoBrand-A-LC
5FishFrozenAlaska flathead soleHippoglossoides elassodon AFS-N1ΧΧ98%MH032456.1YesBrand-BLimanda asperaLC
6FishFrozenYellow tail collar meatSeriola quinqueradiata YTF-N199%KU168711.1NoBrand-B-LC
7FishFrozen smokedAtlantic salmon (Norwegian) smoked black pepperSalmo salar AS-N1ΧΧ100%KP013084.1YesBrand-COncorhynchus mykissLC
8FishFrozenHorse mackerel—aji fry breadedTrachurus japonicus HM-N1100%HM180926.1NoBrand-C-NT
9FishFrozenGreeneye fish (mehikari)Chlorophthalmus albatrossis GEF-N199%KP267656.1NoBrand-C-LC
10FishFrozenKanetuka (Alaska pollock)Gadus chalcogrammus KAN-N2100%MW435131.1NoBrand-C-NE
11FishFrozenSockeye salmon (Alaska)Oncorhynchus nerka SS-N299%KF278762.1NoBrand-C-LC
12FishFrozenHalibutReinhardtius hippoglossoides HAL-N299%MH032539.1NoBrand-C-NT
13FishFrozenHorse mackerel—dried aji hirakiTrachurus japonicus HM-N2ΧΧ99%LR991652.1YesBrand-CTrachurus trachurusVu
14FishFrozenAlaska pollock Gadus chalcogrammus ALP-N299%MH035605.1NoBrand-C-NE
15FishFrozenQR code (cobia)Rachycentron canadum QR99%KP410326.1NoBrand-C-LC
16FishFrozenAtlantic salmon Salmo salar AS-N2ΧΧ100%OL457409.1YesBrand-COncorhynchus kisutchLC
17FishFrozenSnow fish (fillet)InconclusiveFish species with high oil are termed as snow fish.
1. Anoplopoma fimbria (Gindara)
2. Dissostichus eleginoides (Patagonian toothfish)
3. Lepidocybium flavobrunneum (Escolar)
SNF-N3Anoplopoma fimbria (Gindara) ^Anoplopoma fimbria (Gindara) ^100%JQ353976.1NoBrand-C-NE
18FishFrozenCod fish (fillet)Gadus morhua COD-N3ΧΧ99%HM007724.1YesBrand-CLepidocybium flavobrunneumVu
19FishFrozenHirame fillet Paralichthys olivaceus HIR-N3ΧΧ99%KF386420.1YesBrand-CAtheresthes stomiasNE
20FishFrozenCapelinMallotus villosus CAP-N399%FJ205579.1NoBrand-A-NE
21FishFrozenHalibutReinhardtius hippoglossoides HAL-N399%MN893184.1NoBrand-A-NT
22FishFrozenSnow fish (fillet)InconclusiveFish species with high oil are termed as snow fish.
1. Anoplopoma fimbria (Gindara)
2. Dissostichus eleginoides (Patagonian toothfish)
3. Lepidocybium flavobrunneum (Escolar)
SNF-N3aDissostichus eleginoides ^Dissostichus eleginoides ^99%NC_018135.1NoBrand-A-NE
23FishFrozenSnow fish (kimiri)InconclusiveFish species with high oil are termed as snow fish.
1. Anoplopoma fimbria (Gindara)
2. Dissostichus eleginoides (Patagonian toothfish)
3. Lepidocybium flavobrunneum (Escolar)
SNF-K-N3Dissostichus eleginoides ^Dissostichus eleginoides ^99%NC_018135.1NoBrand-A-NE
24FishFrozenRed tilapiaOreochromis niloticus RT-N3ΧΧ100%KU565854.1YesBrand-DOreochromis urolepisLC
25FishFrozenHallibut fillet Reinhardtius hippoglossoides HAL-N3a99%MN893184.1NoBrand-D-NT
26FishFrozenSnow fish filletInconclusiveFish species with high oil are termed as snow fish.
1. Anoplopoma fimbria (Gindara)
2. Dissostichus eleginoides (Patagonian toothfish)
3. Lepidocybium flavobrunneum (Escolar)
SNF-N3bDissostichus eleginoides ^Dissostichus eleginoides ^99%MW829388.1NoBrand-D-NE
27FishFrozenDory fishPangasianodon hypophthalmus PD-N3100%KR080263.1NoBrand-D-EN
28FishFrozenArctic codInconclusiveCommon Artic cod species:
1. Boreogadus saida (Polar cod)
2. Gadus morhua (Northeast Arctic cod)
A-COD-N3Gadus morhua ^Gadus morhua ^99%ON545931.1NoBrand-D-Vu
29FishFrozenBlack codAnoplopoma fimbria B-COD-N399%MG872572.1NoBrand-D-NE
30FishFrozenPangasius doryPangasianodon hypophthalmus PD-N599%MW829646.1NoBrand-B-EN
31FishFrozenFish sashimi hiramasaSeriola lalandi FSM-N5100%LC178024.1NoBrand-B-LC
32FishFrozenEngawa sliceInconclusiveEngawa is part of flatfish species mainly:
1. Paralichthys olivaceus (Hirame)
2. Pseudopleuronectes yokohamae (Karei)
ENG-N5ΧΧ99%KF386350.1YesBrand-BReinhardtius hippoglossoidesNT
33ShrimpFrozenArgentina sweet shrimpPleoticus muelleri ASS-N599%MF490134.1NoBrand-B-NE
34ShrimpFrozenRed shrimp (akeabi)Pleoticus muelleri RS-N5100%KJ879318.1NoBrand-B-NE
35FishFrozenTsubugai sashimi gradeInconclusiveCommon whelks:
1. Neptunea spp.,
2. Buccinum undatum,
3. Babylonia japonica
TSB-N5ΧΧ100%MW829378.1YesBrand-BReinhardtius hippoglossoidesNT
36FishFrozenFish sashimi hamachiSeriola quinqueradiata FSP-N5100%MK560632.1NoBrand-B LC
37FishFrozenAlaska sole portionInconclusiveCommon Alaska sole:
1. Pleuronectes quadrituberculatus (Alaska plaice)
2. Artheresthes stomias (Arrowtooth flounder)
3. Microstomus pacificus (Dover sole)
4. Hippoglossoides elassodon (Flathead sole)
5. Errex zachirus (Rex sole)
6. Pleuronectes bilineatus (Rock sole)
7. Limanda aspera (Yellowfin sole)
ASP-N6Limanda aspera ^Limanda aspera ^100%KP975731.1NoBrand-B-LC
38FishFrozenAkami akamiThunnus maccoyii AOAA-N6100%OU343215.1NoBrand-B-EN
39FishFrozenAkami otoro Thunnus maccoyii AOAO-N6100%JN086150.1NoBrand-B-EN
40FishFrozenAlaska pollach portionGadus chalcogrammus APP-N699%MK216583.1NoBrand-B-NE
41FishFrozenTuna streakAll tuna speciesAll tuna speciesTS-N699%LN908910.1NoBrand-BThunnus albacaresLC
42FishFrozenTuna head to tailAll tuna speciesAll tuna speciesTHT-N699%
99%
MW817806.1
KF925362.1
NoBrand-BThunnus species.
43FishFrozenDried shima hokke hiraki (atka mackerel)Pleurogrammus monopterygius SHH-N6100%JQ354277.1NoBrand-B-NE
44FishFrozenRed-tailed mystus sliceHemibagrus wyckioides RTMS-N6ΧΧ99%MF083116.1YesBrand-EPhractocephalus hemioliopterusLC
45FishFrozenRedtail catfishPhractocephalus hemioliopterus RTC-N6ΧΧ99%MH119967.1YesBrand-CPangasianodon hypophthalmusNE
** Note: International Union for Conservation of Nature (IUCN); EN—endangered; Vu—vulnerable; NT—near threatened; LC—least concern; NE—not evaluated and could not be assessed. ✔—Correct forward and reverse sequence as per the package and scientific name identified initially with the reference database. Χ—Mismatched forward and reverse sequence as per the package and scientific name identified initially with the reference database. ^ - Sequence which was identified from various near similar species or common names.
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Senathipathi, D.N.; Benjakul, S.; Sukkapat, P.; Detcharoen, M.; Moorthy, G.; Saetang, J. DNA Barcoding Revealed Mislabeling of Imported Seafood Products in Thailand. Fishes 2024, 9, 215. https://doi.org/10.3390/fishes9060215

AMA Style

Senathipathi DN, Benjakul S, Sukkapat P, Detcharoen M, Moorthy G, Saetang J. DNA Barcoding Revealed Mislabeling of Imported Seafood Products in Thailand. Fishes. 2024; 9(6):215. https://doi.org/10.3390/fishes9060215

Chicago/Turabian Style

Senathipathi, Deep Nithun, Soottawat Benjakul, Phutthipong Sukkapat, Matsapume Detcharoen, Gururaj Moorthy, and Jirakrit Saetang. 2024. "DNA Barcoding Revealed Mislabeling of Imported Seafood Products in Thailand" Fishes 9, no. 6: 215. https://doi.org/10.3390/fishes9060215

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