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An effective method for identification of three mussel species and their hybrids based on SNPs

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Abstract

We described here the successful identification of three economic aquaculture mussel species in China and their hybrids by high resolution melting curve analysis (HRM) of single nucleotide polymorphisms (SNPs). The nuclear 18S ribosomal RNA gene sequences from Mytilus edulis, Mytilus coruscus, and Perna viridis were aligned and amplified. In total, 8 SNP sites were detected from the 79-bp amplicon. A total of 90 samples from the three mussel species were clearly separated, hybrids from M. edulis and M. coruscus could also be clearly identified. The melting profiles from HRM analysis were found to be distinct across the species tested. This new identification method will be a useful tool for discrimination of the three commercially important mussel species and their hybrids.

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Acknowledgements

This study was supported by the grants from Science and Technology correspondent of Zhejiang Province (2013.09–2017.12), Ningbo Science and Technology Project (2015C10006), Open Fund of Zhejiang Provincial Top Key Discipline of Aquaculture in Ningbo University (xkzsc1505, 1529) and KC Wong Magana Fund in Ningbo University.

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Authors and Affiliations

  1. Key Laboratory of Applied Marine Biotechnology, Ministry of Education, Ningbo University, Ningbo, 315211, China

    Xingqiang Chen, Ronghua Li, Chunlin Wang, Changkao Mu, Weiwei Song, Lei Liu, Ce Shi & Pingping Zhan

  2. Collaborative Innovation Center for Zhejiang Marine High-efficiency and Healthy Aquaculture, Ningbo University, Ningbo, 315211, China

    Ronghua Li, Chunlin Wang, Changkao Mu & Weiwei Song

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  1. Xingqiang Chen
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  2. Ronghua Li
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  3. Chunlin Wang
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  4. Changkao Mu
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  5. Weiwei Song
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  6. Lei Liu
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  7. Ce Shi
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  8. Pingping Zhan
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Correspondence to Ronghua Li.

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Chen, X., Li, R., Wang, C. et al. An effective method for identification of three mussel species and their hybrids based on SNPs. Conservation Genet Resour 12, 5–8 (2020). https://doi.org/10.1007/s12686-018-1051-y

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  • DOI: https://doi.org/10.1007/s12686-018-1051-y

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