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Publishing Language: Chinese

Quantitative Detection Technology of Porcine-Derived Materials in Meat by Real-time PCR

XiaoHu ZHAI1( ), LingXu LI2( ), XiaoZhu CHEN2, HuaiDe JIANG2, WeiHua HE1, DaWei YAO2( )
Jiangsu Agri-Animal Husbandry Vocational College, Taizhou 225300, Jiangsu
College of Veterinary Medicine, Nanjing Agricultural University, Nanjing 210095
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Abstract

【Objective】

The aim of this study was to develop a rapid and accurate quantitative method for identifying porcine-derived materials.

【Method】

Porcine microsatellites DNA were selected from GenBank nucleotide database. Primers specific for porcine were designed based on the sequences of microsatellite DNA. Genomic DNA from 10 kinds of common animals was amplified by PCR method. The specificity of selected microsatellite DNA to porcine-derived materials was judged by the amplification products. According to the microsatellite sequence, the specific primers and probes were designed to establish a Real-time PCR method for identifying porcine-derived materials. The double standard curve was used to quantify the porcine-derived materials and total animal-derived materials, respectively, and the percentage content of porcine-derived materials was calculated.

【Result】

Porcine specific microsatellite DNA with the accession number EF172428 was selected. Only porcine DNA gave a fragment through PCR assay, while there was no amplification for other non-target animal species DNA. The limit of detection was 0.02 ng in a 25 μL reactive system using the Real-time PCR method. This method could accurately detect porcine-derived components in mixed DNA samples and mixed meat samples with 1.32% percent error and 1.06%-7.12% percent error, respectively.

【Conclusion】

The quantitative detection method of porcine-derived materials by Real-time PCR in this research could be used to detect the percentage content of porcine-derived materials in mixed samples.

References

【1】
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Scientia Agricultura Sinica
Pages 156-164

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Cite this article:
ZHAI X, LI L, CHEN X, et al. Quantitative Detection Technology of Porcine-Derived Materials in Meat by Real-time PCR. Scientia Agricultura Sinica, 2023, 56(1): 156-164. https://doi.org/10.3864/j.issn.0578-1752.2023.01.012

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Received: 26 March 2022
Accepted: 01 November 2022
Published: 01 January 2023
© 2023 The Journal of Scientia Agricultura Sinica