Abstract
A high resolution melting (HRM) curve analysis of single nucleotide polymorphisms (SNPs) was used to identify three Sepia species, commonly found on the south coast of China. The mitochondrial 16S rRNA gene sequences from Sepiella japonica, Sepia pharaonis and Sepia lycidas were amplified and aligned. A total of 19 SNPs and seven deletion sites were identified in 122-base-pair (bp) amplicons. All samples from the three Sepia species were clustered into three curves based on HRM analysis, in line with the sequencing results. This new method thus enables a quick, economical and efficient identification of Sepia species.
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Acknowledgements
This research was supported by Natural Science Foundation of Zhejiang Province (LY18C190006), Ningbo agricultural major projects (201401C1111001) and sponsored by K.C. Wong Magna Fund in Ningbo University.
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Zhao, Y., Song, W., Li, R. et al. A high-resolution melting analysis method for the effective discrimination of three Sepia species. J Consum Prot Food Saf 15, 383–385 (2020). https://doi.org/10.1007/s00003-020-01289-8
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DOI: https://doi.org/10.1007/s00003-020-01289-8