Recently, Prof. Liu Bang’s research group from Key Laboratory of Agricultural Animal Genetics, Breeding, and Reproduction of Ministry of Education, College of Animal Sciences & Technology / College of Veterinary Medicine of HZAU, has made new progress in the quantification of animal-derived ingredients, with relevant achievements published in the international academic journal Food Chemistry entitled “A novel quantitative real-time PCR method for the detection of mammalian and poultry species based on a shared single-copy nuclear DNA sequence”.
Accurate identification of animal-derived ingredients is crucial to monitor the quality and safety of meat products. This study aims to develop a novel quantitative real-time PCR (qRT-PCR) method for mammalian and poultry DNA detection.
Multiple sequence alignment results of the first exon of the LcoR gene (A),
Copy number detection results in 18 species (B) and Quantitative detection results(C)
A shared single-copy nuclear DNA sequence, derived from the first exon of the LcoR gene, was identified as a multi-species universal reference for qRT-PCR assay. The conservation and copy number of the LcoR gene were evaluated among 60 species. The detection limit was 0.01 ng DNA or 0.01% meat ingredient, and the limit of quantification was 0.01 ng DNA or 0.05% meat ingredient. Both relative error (R.E.) and relative standard deviation (R.S.D.) were ≤ 25%. Moreover, modified coefficient k was introduced into this system to improve the accuracy and reliability of results.
The proposed approach is useful for regulatory and legislative bodies to detect defined threshold limits of prohibited species and establish food labeling requirements for meat and poultry. Additionally, the quantitative method can contribute to fighting against meat adulteration and maintaining a fair market.
Prof. Liu Bang and associate researcher Zhou Xiang from College of Animal Sciences & Technology / College of Veterinary Medicine of HZAU are co-corresponding authors, and Wang Wenjun, a postdoc under the supervision of Prof. Liu Bang, is the first author of the paper. Besides, Prof. Jennifer Michal and Prof. Zhihua Jiang from Washington State University participated in the research. This work was supported by the National Science and Technology Major Project of China (2018ZX08012-001).
Source: http://news.hzau.edu.cn/2020/0928/58318.shtml
Article: https://linkinghub.elsevier.com/retrieve/pii/S030881462032032X
Translated by: Yan Xiruo
Proofread by: Jin Bei
