2020
DOI: 10.1016/j.foodcont.2020.107143
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Mini-DNA barcoding for the identification of commercial fish sold in the markets along the Taiwan Strait

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Cited by 17 publications
(9 citation statements)
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“…Samples that cannot be successfully extracted for DNA in purchased samples include canned food and a small proportion of frozen products. The reason canned food could not be extracted may be that the DNA fragments were seriously denatured during processing (Xiong et al., 2018), and high oil and salt content on preserved meat products was not easy to remove, which led to difficulty in analytical pretreatment and low rate of DNA extraction success (Xing et al., 2020). Similarly, frozen samples could be subjected to excessive time before freezing or to freeze/refreeze cycling with excessive enzymatic activity that could degrade DNA.…”
Section: Resultsmentioning
confidence: 99%
“…Samples that cannot be successfully extracted for DNA in purchased samples include canned food and a small proportion of frozen products. The reason canned food could not be extracted may be that the DNA fragments were seriously denatured during processing (Xiong et al., 2018), and high oil and salt content on preserved meat products was not easy to remove, which led to difficulty in analytical pretreatment and low rate of DNA extraction success (Xing et al., 2020). Similarly, frozen samples could be subjected to excessive time before freezing or to freeze/refreeze cycling with excessive enzymatic activity that could degrade DNA.…”
Section: Resultsmentioning
confidence: 99%
“…The e cacy of species identi cation based on DNA barcoding is also dependent on both su cient inter-and intraspeci c divergence (Xing et al, 2020b), with larger barcode-related intra-and interspeci c differences in genetic distance contributing to the more successful identi cation of species (Dhar and Ghosh, 2017). In the present study, we used the minimum interspeci c and maximum intraspeci c divergence to de ne the barcode gap and found this more e cient than using the means, with both maximum and mean intraspeci c distance values (1.61% and 0.72%, respectively) being inferior to interspeci c distances (9.79-36.38%, with a mean value of 25.99%), with no overlap.…”
Section: Discussionmentioning
confidence: 99%
“…The SeqMan package of DNAStar software was used to splice the forward and reverse sequences determine for each sample. Specimens were identi ed by comparing the COI sequences thus obtained with those in the NCBI database using dedicated statistical tools, and we adopted a sequence similarity of at least 98% as a threshold to determine the validity species identi cation (Armani et al, 2015;Xing et al, 2020b). Subsequently, the sequences were arranged using ClustalW in MEGA6.0 software.…”
Section: Discussionmentioning
confidence: 99%
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“…The scarcity of this species that is mostly appreciated by consumers has led to an increase in their value, commanding a higher market price [29,30]. The high price and limited supply of yellow croaker have resulted in increases in the vulnerability of threat to its populations and the occurrence of fraudulent substitution and mislabeling [31].…”
Section: Identification Of Incorrectly Labeled Fish Sample For Substitution Detectionmentioning
confidence: 99%