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Liang Z, Yue X, Liu Y, Ye M, Zhong L, Luan Y, Wang Q. Genome-Wide Identification of Specific Genetic Loci Common to Sheep and Goat. Biomolecules 2024; 14:638. [PMID: 38927042 PMCID: PMC11201639 DOI: 10.3390/biom14060638] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2024] [Revised: 04/24/2024] [Accepted: 05/01/2024] [Indexed: 06/28/2024] Open
Abstract
Sheep and goat may become carriers of some zoonotic diseases. They are important livestock and experimental model animals for human beings. The fast and accurate identification of genetic materials originating from sheep and goat can prevent and inhibit the spread of some zoonotic diseases, monitor market product quality, and maintain the stability of animal husbandry and food industries. This study proposed a methodology for identifying sheep and goat common specific sites from a genome-wide perspective. A total of 150 specific sites were selected from three data sources, including the coding sequences of single copy genes from nine species (sheep, goat, cow, pig, dog, horse, human, mouse, and chicken), the dbSNPs for these species, and human 100-way alignment data. These 150 sites exhibited low intraspecific heterogeneity in the resequencing data of 1450 samples from five species (sheep, goat, cow, pig, and chicken) and high interspecific divergence in the human 100-way alignment data after quality control. The results were proven to be reliable at the data level. Using the process proposed in this study, specific sites of other species can be screened, and genome-level species identification can be performed using the screened sites.
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Affiliation(s)
- Zuoxiang Liang
- State Key Laboratory of Animal Biotech Breeding, National Engineering Laboratory for Animal Breeding, Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; (Z.L.); (X.Y.); (Y.L.); (M.Y.); (L.Z.); (Y.L.)
- Department of Animal Science, University of Minnesota, Saint Paul, MN 55108, USA
| | - Xiaoyu Yue
- State Key Laboratory of Animal Biotech Breeding, National Engineering Laboratory for Animal Breeding, Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; (Z.L.); (X.Y.); (Y.L.); (M.Y.); (L.Z.); (Y.L.)
| | - Yangxiu Liu
- State Key Laboratory of Animal Biotech Breeding, National Engineering Laboratory for Animal Breeding, Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; (Z.L.); (X.Y.); (Y.L.); (M.Y.); (L.Z.); (Y.L.)
| | - Mengyan Ye
- State Key Laboratory of Animal Biotech Breeding, National Engineering Laboratory for Animal Breeding, Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; (Z.L.); (X.Y.); (Y.L.); (M.Y.); (L.Z.); (Y.L.)
| | - Ling Zhong
- State Key Laboratory of Animal Biotech Breeding, National Engineering Laboratory for Animal Breeding, Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; (Z.L.); (X.Y.); (Y.L.); (M.Y.); (L.Z.); (Y.L.)
| | - Yue Luan
- State Key Laboratory of Animal Biotech Breeding, National Engineering Laboratory for Animal Breeding, Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; (Z.L.); (X.Y.); (Y.L.); (M.Y.); (L.Z.); (Y.L.)
| | - Qin Wang
- State Key Laboratory of Animal Biotech Breeding, National Engineering Laboratory for Animal Breeding, Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; (Z.L.); (X.Y.); (Y.L.); (M.Y.); (L.Z.); (Y.L.)
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2
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Griffiths KR, McLaughlin JLH, Hall F, Partis L, Hansen SC, Tulloch R, Burke DG. Development of Seven New dPCR Animal Species Assays and a Reference Material to Support Quantitative Ratio Measurements of Food and Feed Products. Foods 2023; 12:3839. [PMID: 37893732 PMCID: PMC10606771 DOI: 10.3390/foods12203839] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2023] [Revised: 10/13/2023] [Accepted: 10/16/2023] [Indexed: 10/29/2023] Open
Abstract
Laboratory testing methods to confirm the identity of meat products and eliminate food fraud regularly rely on PCR amplification of extracted DNA, with most published assays detecting mitochondrial sequences, providing sensitive presence/absence results. By targeting single-copy nuclear targets instead, relative quantification measurements are achievable, providing additional information on the proportions of meat species detected. In this Methods paper, new assays for horse, donkey, duck, kangaroo, camel, water buffalo and crocodile have been developed to expand the range of species that can be quantified, and a previously published reference assay targeting the myostatin gene has been modified to include marsupials and reptiles. The accuracy of this ratio measurement approach was demonstrated using dPCR with mixtures of meat DNA down to 0.1%. However, the limit of detection (LOD) of this approach is not just determined by the assay targets, but by the samples themselves, with food or feed ingredients and processing impacting the DNA yield and integrity. In routine testing settings, the myostatin assay can provide multiple quality control roles, including monitoring the yield and purity of extracted DNA, identifying the presence of additional meats not detected by the suite of species-specific assays and potentially estimating a sample-specific LOD based on measured copy numbers of the myostatin target. In addition to the myostatin positive control assay, a synthetic DNA reference material (RM) has been designed, containing PCR targets for beef, pork, sheep, chicken, goat, kangaroo, horse, water buffalo and myostatin, to be used as a positive template control. The availability of standardised measurement methods and associated RMs significantly improves the reliability, comparability and transparency of laboratory testing, leading to greater confidence in results.
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Affiliation(s)
- Kate R. Griffiths
- Bioanalysis Section, National Measurement Institute, Lindfield, Sydney, NSW 2070, Australia
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3
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Wang Y, Teo E, Lin KJ, Wu Y, Chan JSH, Tan LK. Quantification of Pork, Chicken, Beef, and Sheep Contents in Meat Products Using Duplex Real-Time PCR. Foods 2023; 12:2971. [PMID: 37569240 PMCID: PMC10418471 DOI: 10.3390/foods12152971] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Revised: 07/28/2023] [Accepted: 08/02/2023] [Indexed: 08/13/2023] Open
Abstract
Accurate methods for meat speciation and quantification are essential for ensuring the supply of safe and wholesome meat and composite products with animal origins to negate the potential associated hazards, aid classification of consignments at the import control system, and thwart food fraud committed for financial gain. To better enhance meat safety control and combat food fraud, this study developed two duplex real-time polymerase chain reaction (real-time PCR) systems specifically designed for chicken, pork, sheep, and beef, using single-copy, chromosomally encoded, species-specific gene sequences to accurately measure the content of each meat type in meat products. DNA extracted from the raw and boiled reference materials prepared in varying proportions (ranging from 1% to 75%) were used in the development of the duplex assay to derive calibration factors to determine the meat content in different meat products. The method was further validated using proficiency test samples and market monitoring samples. Our findings showed that this method exhibits high specificity and sensitivity, with a significant accuracy range of 0.14% to 24.07% in quantifying the four meat types in both raw and processed meat products. Validation results further confirmed the effectiveness of our method in accurately quantifying meat content. Thus, we have demonstrated the duplex qPCR assays as promising approaches for implementation in routine analysis to strengthen meat safety control systems and combat meat fraud, thereby safeguarding consumer health and trust in the meat industry.
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Affiliation(s)
- Yanwen Wang
- National Centre for Food Science, Singapore Food Agency, 7 International Business Park, Singapore 609919, Singapore; (Y.W.)
| | - Emily Teo
- National Centre for Food Science, Singapore Food Agency, 7 International Business Park, Singapore 609919, Singapore; (Y.W.)
| | - Kung Ju Lin
- National Centre for Food Science, Singapore Food Agency, 7 International Business Park, Singapore 609919, Singapore; (Y.W.)
| | - Yuansheng Wu
- National Centre for Food Science, Singapore Food Agency, 7 International Business Park, Singapore 609919, Singapore; (Y.W.)
| | - Joanne Sheot Harn Chan
- National Centre for Food Science, Singapore Food Agency, 7 International Business Park, Singapore 609919, Singapore; (Y.W.)
- Department of Food Science and Technology, National University of Singapore, S14 Level 5 Science Drive 2, Singapore 117542, Singapore
| | - Li Kiang Tan
- National Centre for Food Science, Singapore Food Agency, 7 International Business Park, Singapore 609919, Singapore; (Y.W.)
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4
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Aravind Kumar N, Vishnuraj MR, Vaithiyanathan S, Srinivas C, Chauhan A, Barbuddhe SB. Droplet Digital PCR Assay with Linear Regression Models for Quantification of Buffalo-Derived Materials in Different Food Matrices. FOOD ANAL METHOD 2023. [DOI: 10.1007/s12161-022-02441-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
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5
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Detection of porcine DNA in food using direct asymmetric PCR and catalyzed hairpin assembly fluorescent biosensor: A novel assay for halal food analysis. Food Control 2022. [DOI: 10.1016/j.foodcont.2022.108989] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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6
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Identification of Mammalian and Poultry Species in Food and Pet Food Samples Using 16S rDNA Metabarcoding. Foods 2021; 10:foods10112875. [PMID: 34829156 PMCID: PMC8620145 DOI: 10.3390/foods10112875] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Revised: 11/12/2021] [Accepted: 11/15/2021] [Indexed: 12/14/2022] Open
Abstract
The substitution of more appreciated animal species by animal species of lower commercial value is a common type of meat product adulteration. DNA metabarcoding, the combination of DNA barcoding with next-generation sequencing (NGS), plays an increasing role in food authentication. In the present study, we investigated the applicability of a DNA metabarcoding method for routine analysis of mammalian and poultry species in food and pet food products. We analyzed a total of 104 samples (25 reference samples, 56 food products and 23 pet food products) by DNA metabarcoding and by using a commercial DNA array and/or by real-time PCR. The qualitative and quantitative results obtained by the DNA metabarcoding method were in line with those obtained by PCR. Results from the independent analysis of a subset of seven reference samples in two laboratories demonstrate the robustness and reproducibility of the DNA metabarcoding method. DNA metabarcoding is particularly suitable for detecting unexpected species ignored by targeted methods such as real-time PCR and can also be an attractive alternative with respect to the expenses as indicated by current data from the cost accounting of the AGES laboratory. Our results for the commercial samples show that in addition to food products, DNA metabarcoding is particularly applicable to pet food products, which frequently contain multiple animal species and are also highly prone to adulteration as indicated by the high portion of analyzed pet food products containing undeclared species.
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7
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Chen X, Ji Y, Li K, Wang X, Peng C, Xu X, Pei X, Xu J, Li L. Development of a Duck Genomic Reference Material by Digital PCR Platforms for the Detection of Meat Adulteration. Foods 2021; 10:foods10081890. [PMID: 34441667 PMCID: PMC8394454 DOI: 10.3390/foods10081890] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Revised: 08/12/2021] [Accepted: 08/13/2021] [Indexed: 11/16/2022] Open
Abstract
Low-cost meat, such as duck, is frequently used to adulterate more expensive foods like lamb or beef in many countries. However, the lack of DNA-based reference materials has limited the quality control and detection of adulterants. Here, we report the development and validation of duck genomic DNA certified reference materials (CRMs) through the detection of the duck interleukin 2 (IL2) gene by digital PCR (dPCR) for the identification of duck meat in food products. The certified value of IL2 in CRMs was 5.78 ± 0.51 × 103 copies/μL with extended uncertainty (coverage factor k = 2) based on IL2 quantification by eight independent collaborating laboratories. Quantification of the mitochondrial gene cytb revealed a concentration of 2.0 × 106 copies/μL, as an information value. The CRMs were also used to determine the limit of detection (LOD) for six commercial testing kits, which confirmed that these kits meet or exceed their claimed sensitivity and are reliable for duck detection.
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Affiliation(s)
- Xiaoyun Chen
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China; (X.C.); (Y.J.); (X.W.); (C.P.); (X.X.)
| | - Yi Ji
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China; (X.C.); (Y.J.); (X.W.); (C.P.); (X.X.)
| | - Kai Li
- Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China; (K.L.); (X.P.)
| | - Xiaofu Wang
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China; (X.C.); (Y.J.); (X.W.); (C.P.); (X.X.)
| | - Cheng Peng
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China; (X.C.); (Y.J.); (X.W.); (C.P.); (X.X.)
| | - Xiaoli Xu
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China; (X.C.); (Y.J.); (X.W.); (C.P.); (X.X.)
| | - Xinwu Pei
- Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China; (K.L.); (X.P.)
| | - Junfeng Xu
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China; (X.C.); (Y.J.); (X.W.); (C.P.); (X.X.)
- Correspondence: (J.X.); (L.L.)
| | - Liang Li
- Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China; (K.L.); (X.P.)
- Correspondence: (J.X.); (L.L.)
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8
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Liu G, Luo J, Xu W, Li C, Guo Y, Guo L. Improved triplex real-time PCR with endogenous control for synchronous identification of DNA from chicken, duck, and goose meat. Food Sci Nutr 2021; 9:3130-3141. [PMID: 34136178 PMCID: PMC8194750 DOI: 10.1002/fsn3.2272] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2020] [Revised: 03/07/2021] [Accepted: 03/11/2021] [Indexed: 11/20/2022] Open
Abstract
The authentication and labeling of meat products, concerning origins and species, are key to fair trade and to protect consumer interests in the market. We developed an improved triplex real-time PCR approach to simultaneously identify chicken, duck, and goose DNA in meat, including an endogenous control to avoid false negatives. Our method specifically detected DNA from chicken, duck, and goose, and showed no cross-reaction with DNA extracted from other meat types. The detection limits of chicken, duck, and goose DNA were 0.001-0.00025 ng, 0.0025-0.0001 ng, and 0.001-0.00001 ng, respectively, and we were able to simultaneously identify DNA from two distinct origins using as little as 0.1% of total meat weight. Our newly generated triplex real-time PCR method with endogenous control exhibited high specificity, sensitivity, and efficiency for simultaneous identification of DNA from chicken, duck, and goose in meat.
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Affiliation(s)
- Guo‐Qiang Liu
- Xilin Gol Food Testing and Risk Assessment CenterXilin Gol Institute of BioengineeringXilingol Vocational CollegeXilinhotChina
| | - Jian‐Xing Luo
- Xilin Gol Food Testing and Risk Assessment CenterXilin Gol Institute of BioengineeringXilingol Vocational CollegeXilinhotChina
| | - Wei‐Liang Xu
- Xilin Gol Food Testing and Risk Assessment CenterXilin Gol Institute of BioengineeringXilingol Vocational CollegeXilinhotChina
| | - Chun‐Dong Li
- Xilin Gol Food Testing and Risk Assessment CenterXilin Gol Institute of BioengineeringXilingol Vocational CollegeXilinhotChina
| | - Yuan‐Sheng Guo
- Xilin Gol Food Testing and Risk Assessment CenterXilin Gol Institute of BioengineeringXilingol Vocational CollegeXilinhotChina
| | - Liang Guo
- Xilin Gol Food Testing and Risk Assessment CenterXilin Gol Institute of BioengineeringXilingol Vocational CollegeXilinhotChina
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9
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Yu N, Ren J, Huang W, Xing R, Deng T, Chen Y. An effective analytical droplet digital PCR approach for identification and quantification of fur-bearing animal meat in raw and processed food. Food Chem 2021; 355:129525. [PMID: 33799266 DOI: 10.1016/j.foodchem.2021.129525] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2020] [Revised: 03/01/2021] [Accepted: 03/02/2021] [Indexed: 11/18/2022]
Abstract
Available nuclear gene sequences for meat detection are still rare and little applicability in the investigation of new types of meat adulteration such as fox, mink and raccoon dog was performed. In the present work, we developed a reliable qualitative and quantitative detection method for fur-bearing animal meat based on droplet digital PCR (ddPCR). Three sets of primers and probes targeted nuclear genes for fox, mink and raccoon dog were designed for ddPCR system; In addition, turkey was selected as internal reference to transform the copy numbers to the fraction of target species. Results indicated that the dynamic ranges of three fur-bearing animals were all from 1% to 90%; the limit of detection (LOD) and limit of quantification (LOQ) for three fur-bearing animals were same, with LOD 0.1% (w/w) and LOQ 1% (w/w). Moreover, we confirmed that different additives had no effect on quantification accuracy in the ddPCR assay.
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Affiliation(s)
- Ning Yu
- Chinese Academy of Inspection and Quarantine, Beijing, 100176
| | - Junan Ren
- Chinese Academy of Inspection and Quarantine, Beijing, 100176; Beijing Food & Wine Inspection and Testing 1st Station, Beijing, 101111
| | - Wensheng Huang
- Chinese Academy of Inspection and Quarantine, Beijing, 100176
| | - Ranran Xing
- Chinese Academy of Inspection and Quarantine, Beijing, 100176
| | - Tingting Deng
- Chinese Academy of Inspection and Quarantine, Beijing, 100176
| | - Ying Chen
- Chinese Academy of Inspection and Quarantine, Beijing, 100176.
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Dahm OJ, Sampson GL, Silva AJ, Hellberg RS. Use of Molecular Methods to Authenticate Animal Species and Tissue in Bovine Liver Dietary Supplements. J Diet Suppl 2021; 19:381-394. [PMID: 33615949 DOI: 10.1080/19390211.2021.1887424] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
Dietary supplements containing bovine (subfamily Bovinae) liver are susceptible to fraud due to their high value and the lack of modern detection methods available for processed animal tissues. The objective of this research was to use molecular methods to authenticate dietary supplements claiming to contain bovine liver or beef liver through the verification of animal species and tissue type. A total of 53 bovine/beef liver dietary supplements were purchased from online sources. The presence of liver was verified with reverse transcription and real-time PCR testing for microRNA-122 (miR-122), which is highly expressed in liver tissue. Multiplex real-time PCR targeting domestic cattle (Bos taurus), horse (Equus caballus), sheep (Ovis aries), and pork (Sus scrofa) was used to verify species. Samples that failed species identification with multiplex real-time PCR underwent DNA mini-barcoding. Overall, bovine species were detected in 48/53 liver supplements: 35 samples were confirmed as domestic cattle with multiplex real-time PCR and an additional 13 samples were confirmed as domestic cattle or Bos spp. with DNA mini-barcoding. One of these samples was also positive for sheep/lamb, which was declared on the label. One product contained undeclared pork in addition to beef. MiR-122 was detected in 51 out of 53 supplements, suggesting the presence of liver. While this study demonstrates the potential use of tissue-specific microRNAs in verifying tissues in dietary supplements, more research is needed to evaluate the specificity of these markers.
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Affiliation(s)
- Olive J Dahm
- Chapman University, Schmid College of Science and Technology, Food Science Program, One University Drive, Orange, CA, USA
| | - Georgia L Sampson
- Chapman University, Schmid College of Science and Technology, Food Science Program, One University Drive, Orange, CA, USA
| | - Anthony J Silva
- Chapman University, Schmid College of Science and Technology, Food Science Program, One University Drive, Orange, CA, USA
| | - Rosalee S Hellberg
- Chapman University, Schmid College of Science and Technology, Food Science Program, One University Drive, Orange, CA, USA
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Kaltenbrunner M, Mayer W, Kerkhoff K, Epp R, Rüggeberg H, Hochegger R, Cichna-Markl M. Applicability of a duplex and four singleplex real-time PCR assays for the qualitative and quantitative determination of wild boar and domestic pig meat in processed food products. Sci Rep 2020; 10:17243. [PMID: 33057090 PMCID: PMC7560752 DOI: 10.1038/s41598-020-72655-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2020] [Accepted: 09/03/2020] [Indexed: 12/04/2022] Open
Abstract
Appropriate analytical methods are needed for the detection of food authentication. We investigated the applicability of a duplex real-time PCR assay targeting chromosome 1 and two singleplex real-time PCR assays targeting chromosome 9, both published recently, for the qualitative and quantitative determination of wild boar and domestic pig in processed food products. In addition, two singleplex real-time PCR assays targeting chromosome 7 were tested for their suitability to differentiate the two subspecies. Even by targeting the three genome loci, the probability of misclassification was not completely eliminated. Application of the real-time PCR assays to a total of 35 commercial meat products, including 22 goulash products, revealed that domestic pig DNA was frequently present, even in 14 out of 15 products declared to consist of 100% wild boar. Quantitative results obtained with the real-time PCR assays for wild boar (p < 0.001) and those for domestic pig (p < 0.001) were significantly different. However, the results obtained with the real-time PCR assays for wild boar (r = 0.673; p < 0.001) and those for domestic pig (r = 0.505; p = 0.002) were found to be significantly correlated. If the rules given in the paper are followed, the real-time PCR assays are applicable for routine analysis.
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Affiliation(s)
- Maria Kaltenbrunner
- Department of Molecular Biology and Microbiology, Institute for Food Safety Vienna, Austrian Agency for Health and Food Safety, Spargelfeldstraße 191, 1220 Vienna, Austria
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Währinger Straße 38, 1090 Vienna, Austria
| | - Walter Mayer
- Department of Molecular Biology and Microbiology, Institute for Food Safety Vienna, Austrian Agency for Health and Food Safety, Spargelfeldstraße 191, 1220 Vienna, Austria
| | - Kirsten Kerkhoff
- Impetus GmbH & Co. Bioscience KG, Fischkai 1, 27572 Bremerhaven, Germany
| | - Rita Epp
- Impetus GmbH & Co. Bioscience KG, Fischkai 1, 27572 Bremerhaven, Germany
| | - Hermann Rüggeberg
- Impetus GmbH & Co. Bioscience KG, Fischkai 1, 27572 Bremerhaven, Germany
| | - Rupert Hochegger
- Department of Molecular Biology and Microbiology, Institute for Food Safety Vienna, Austrian Agency for Health and Food Safety, Spargelfeldstraße 191, 1220 Vienna, Austria
| | - Margit Cichna-Markl
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Währinger Straße 38, 1090 Vienna, Austria
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Hrbek V, Zdenkova K, Jilkova D, Cermakova E, Jiru M, Demnerova K, Pulkrabova J, Hajslova J. Authentication of Meat and Meat Products Using Triacylglycerols Profiling and by DNA Analysis. Foods 2020; 9:foods9091269. [PMID: 32927765 PMCID: PMC7555453 DOI: 10.3390/foods9091269] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2020] [Revised: 09/06/2020] [Accepted: 09/08/2020] [Indexed: 11/16/2022] Open
Abstract
Two alternative, complementary analytical strategies were successfully used to identify the most common meat species—beef, pork and chicken—in meat products. The first innovative high-throughput approach was based on triacylglycerols fingerprinting by direct analysis in real time coupled with high-resolution mass spectrometry (DART–HRMS). The second was the classic commonly used DNA analysis based on the use of nuclear or mitochondrial DNA in multiplex polymerase chain reaction (mPCR). The DART–HRMS method represents a rapid, high throughput screening method and was shown to have a good potential for the authentication of meat products. Nevertheless, it should be noted that due to a limited number of samples in this pilot study, we present here a proof of concept. More samples must be analyzed by DART–HRMS to build a robust classification model applicable for reliable authentication. To verify the DART–HRMS results, all samples were analyzed by PCRs. Good compliance in samples classification was documented. In routine practice under these conditions, screening based on DART–HRMS could be used for identification of suspect samples, which could be then examined and validated by accurate PCRs. In this way, saving of both labor and cost could be achieved. In the final phase, commercially available meat products from the Czech market were tested using this new strategy. Canned meats—typical Czech sausages and luncheon meats, all with declared content of beef, pork and chicken meat—were used. Compliance with the label declaration was confirmed and no adulteration was found.
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Affiliation(s)
- Vojtech Hrbek
- Department of Food Analysis and Nutrition, University of Chemistry and Technology, Technicka 5, 166 28 Prague 6, Czech Republic; (V.H.); (M.J.); (J.P.); (J.H.)
| | - Kamila Zdenkova
- Department of Biochemistry and Microbiology, University of Chemistry and Technology, Technicka 5, 166 28 Prague 6, Czech Republic; (E.C.); (K.D.)
- Correspondence:
| | - Diliara Jilkova
- Department of Biochemistry and Microbiology, University of Chemistry and Technology, Technicka 5, 166 28 Prague 6, Czech Republic; (E.C.); (K.D.)
- Research Department, Food Research Institute Prague, Radiová 1285/7, 10231 Prague 10, Czech Republic;
| | - Eliska Cermakova
- Department of Biochemistry and Microbiology, University of Chemistry and Technology, Technicka 5, 166 28 Prague 6, Czech Republic; (E.C.); (K.D.)
| | - Monika Jiru
- Department of Food Analysis and Nutrition, University of Chemistry and Technology, Technicka 5, 166 28 Prague 6, Czech Republic; (V.H.); (M.J.); (J.P.); (J.H.)
| | - Katerina Demnerova
- Department of Biochemistry and Microbiology, University of Chemistry and Technology, Technicka 5, 166 28 Prague 6, Czech Republic; (E.C.); (K.D.)
| | - Jana Pulkrabova
- Department of Food Analysis and Nutrition, University of Chemistry and Technology, Technicka 5, 166 28 Prague 6, Czech Republic; (V.H.); (M.J.); (J.P.); (J.H.)
| | - Jana Hajslova
- Department of Food Analysis and Nutrition, University of Chemistry and Technology, Technicka 5, 166 28 Prague 6, Czech Republic; (V.H.); (M.J.); (J.P.); (J.H.)
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Zhao L, Li S, Hua MZ, Liu J, Zhang H, Hu Y, Chen Y, Lu X, Zheng W. Development of a species-specific PCR coupled with lateral flow immunoassay for the identification of goose ingredient in foods. Food Control 2020. [DOI: 10.1016/j.foodcont.2020.107240] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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14
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Mori C, Matsumura S. Current issues for mammalian species identification in forensic science: a review. Int J Legal Med 2020; 135:3-12. [PMID: 32562039 DOI: 10.1007/s00414-020-02341-w] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2020] [Accepted: 06/09/2020] [Indexed: 12/21/2022]
Abstract
Mammalian species identification is one of the important issues in forensic science. Determining the origins of non-human biological material found at crime scenes can increase the possibility of identifying the true culprit by narrowing down the range of suspects. Although many techniques based on mitochondrial DNA (mtDNA) have been developed, challenges remain to cost-effectively identify species from degraded samples containing a mixture of DNA from multiple species and to standardize procedures for mammalian species identification. This review evaluates the reliability and versatility of mtDNA-based techniques to reveal obstacles to the establishment of standard analytical methods, with a particular focus on DNA mixtures. When samples contain a mixture of DNA from multiple species, the interpretation of sequencing analysis results is difficult. Although DNA metabarcoding using next-generation sequencing (NGS) technologies can overcome the DNA mixture problem, DNA metabarcoding is not suitable for the type of small-scale analysis routinely performed by local forensic laboratories, primarily because it is costly and time-consuming. By contrast, fluorescent multiplex PCR analysis enables cost-effective and simultaneous species identification from suboptimal samples, although the number of identifiable species is currently limited in comparison with sequencing techniques. The advantages and limitations of current techniques presented in this review indicate that multiplex PCR analysis will continue to be important for mammalian species identification in forensic casework analysis. Further developments in multiplex PCR analysis that enable the identification of an increased number of species will play a key step for standardization efforts among forensic laboratories.
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Affiliation(s)
- Chikahiro Mori
- The United Graduate School of Agricultural Science, Gifu University, 1-1 Yanagido, Gifu, 501-1193, Japan. .,Forensic Science Laboratory, Gifu Prefectural Police Headquarters, 2-1-1 Yabutaminami, Gifu, 500-8501, Japan.
| | - Shuichi Matsumura
- Faculty of Applied Biological Sciences, Gifu University, 1-1 Yanagido, Gifu, 501-1193, Japan
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15
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Song L, Hu Z, Wang Q, Jiang J, Cao Y, Wang D, Rui S, Li L, Cai X, Wu Y, Suo Y. Quantitative species determination based on real time PCR–Can the results be expressed as weight/weight equivalents? FOOD BIOTECHNOL 2020. [DOI: 10.1080/08905436.2020.1743305] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Affiliation(s)
- Liping Song
- The Center for Supervision and Inspection of Food Quality and Safty of China, Beijing, China
| | - Zhikai Hu
- The Center for Supervision and Inspection of Food Quality and Safty of China, Beijing, China
| | - Qinglong Wang
- The Center for Supervision and Inspection of Food Quality and Safty of China, Beijing, China
| | - Jie Jiang
- Beijing 101 High School International Department, Beijing, China
| | - Yue Cao
- The Center for Supervision and Inspection of Food Quality and Safty of China, Beijing, China
| | - Dan Wang
- The Center for Supervision and Inspection of Food Quality and Safty of China, Beijing, China
| | - Sun Rui
- The Center for Supervision and Inspection of Food Quality and Safty of China, Beijing, China
| | - Long Li
- The Center for Supervision and Inspection of Food Quality and Safty of China, Beijing, China
| | - Xuefeng Cai
- The Center for Supervision and Inspection of Food Quality and Safty of China, Beijing, China
| | - Yantao Wu
- The Center for Supervision and Inspection of Food Quality and Safty of China, Beijing, China
| | - Yiping Suo
- The Center for Supervision and Inspection of Food Quality and Safty of China, Beijing, China
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16
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Cao W, Li Y, Chen X, Chang Y, Li L, Shi L, Bai W, Ye L. Species identification and quantification of silver pomfret using the droplet digital PCR assay. Food Chem 2019; 302:125331. [PMID: 31404867 DOI: 10.1016/j.foodchem.2019.125331] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2018] [Revised: 07/30/2019] [Accepted: 08/04/2019] [Indexed: 11/30/2022]
Abstract
Adulteration of the high-value silver pomfret (Pampus argenteus) is a serious problem worldwide, necessitating accurate identification and quantification of the species. In this study, optimisation of the digital droplet PCR (ddPCR) assay for the identification and quantification of the silver pomfret was carried out. The primer and probe concentrations, melting temperature, and PCR cycle number were optimised by combining single-factor experiments with an orthogonal experimental design. The absolute limits of detection and quantification of the ddPCR were 2copies/μl and 21 copies/μl, respectively. Its sensitivity was 0.1% for meat mixtures and 0.5% for DNA mixtures. The ddPCR was 156 times more sensitive than the real-time PCR, although both methods had similar specificities. However, the overall time needed to complete the ddPCR method was twice that of the real-time PCR. Notwithstanding, the ddPCR methodology established in this study can be a valuable tool for addressing species adulteration issues.
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Affiliation(s)
- Weiwei Cao
- Institute of Food Safety and Nutrition, Jinan University, Guangzhou 510632, Guangdong, China
| | - Yiming Li
- College of Light Industry and Food Sciences, South China University of Technology, Guangzhou 510641, Guangdong, China
| | - Xun Chen
- Institute of Food Safety and Nutrition, Jinan University, Guangzhou 510632, Guangdong, China
| | - Yanlei Chang
- Institute of Food Safety and Nutrition, Jinan University, Guangzhou 510632, Guangdong, China
| | - Lili Li
- Institute of Food Safety and Nutrition, Jinan University, Guangzhou 510632, Guangdong, China
| | - Lei Shi
- Institute of Food Safety and Nutrition, Jinan University, Guangzhou 510632, Guangdong, China
| | - Weibin Bai
- Institute of Food Safety and Nutrition, Jinan University, Guangzhou 510632, Guangdong, China
| | - Lei Ye
- Institute of Food Safety and Nutrition, Jinan University, Guangzhou 510632, Guangdong, China.
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17
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Dobrovolny S, Blaschitz M, Weinmaier T, Pechatschek J, Cichna-Markl M, Indra A, Hufnagl P, Hochegger R. Development of a DNA metabarcoding method for the identification of fifteen mammalian and six poultry species in food. Food Chem 2018; 272:354-361. [PMID: 30309555 DOI: 10.1016/j.foodchem.2018.08.032] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2017] [Revised: 02/16/2018] [Accepted: 08/08/2018] [Indexed: 01/16/2023]
Abstract
Meat products are prone to adulteration by the replacement of meat from more expensive animal species with meat from cheaper sources. We present a DNA metabarcoding method allowing the identification and differentiation of 15 mammalian and six poultry species in foodstuffs. The method, developed on the MiSeq® platform, targets a mitochondrial 16S rDNA region recently found to be suitable for the differentiation of 300 mammalian species. We designed a novel primer pair for poultry and applied it in combination with the primer pair for mammalian species in a duplex assay. The applicability of the method was investigated by analysing DNA extracts from muscle, DNA extract mixtures and extracts from model sausages. Our results indicated that the species of interest can be identified, differentiated and detected down to a proportion of 0.1%. Since 96 samples can be sequenced in one run, the method has high potential for application in routine analysis.
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Affiliation(s)
- Stefanie Dobrovolny
- Austrian Agency for Health and Food Safety, Institute for Food Safety, Department of Molecular Biology and Microbiology, Spargelfeldstraße 191, 1220 Vienna, Austria.
| | - Marion Blaschitz
- Austrian Agency for Health and Food Safety, Institute for Medical Microbiology and Hygiene - Center for Anthropogenic Infections, Department of Clinical Molecular Biology, Währinger Straße 25a, 1090 Vienna, Austria.
| | - Thomas Weinmaier
- Division of Computational Systems Biology, Department of Microbiology and Ecosystem Science, University of Vienna, Althanstraße 14, 1090 Vienna, Austria.
| | - Jan Pechatschek
- Siemens Aktiengesellschaft Österreich, RC-AT EM DG SWS GC NMS, Siemensstraße 90, 1210 Vienna, Austria.
| | - Margit Cichna-Markl
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Währinger Straße 38, 1090 Vienna, Austria.
| | - Alexander Indra
- Austrian Agency for Health and Food Safety, Institute for Medical Microbiology and Hygiene, Währinger Straße 25a, 1090 Vienna, Austria.
| | - Peter Hufnagl
- Austrian Agency for Health and Food Safety, Institute for Medical Microbiology and Hygiene - Center for Anthropogenic Infections, Department of Clinical Molecular Biology, Währinger Straße 25a, 1090 Vienna, Austria.
| | - Rupert Hochegger
- Austrian Agency for Health and Food Safety, Institute for Food Safety, Department of Molecular Biology and Microbiology, Spargelfeldstraße 191, 1220 Vienna, Austria.
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18
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Xu R, Wei S, Zhou G, Ren J, Liu Z, Tang S, Cheung PC, Wu X. Multiplex TaqMan locked nucleic acid real-time PCR for the differential identification of various meat and meat products. Meat Sci 2018; 137:41-46. [DOI: 10.1016/j.meatsci.2017.11.003] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2017] [Revised: 10/27/2017] [Accepted: 11/01/2017] [Indexed: 12/11/2022]
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19
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Meat species identification by two direct-triplex real-time PCR assays using low resolution melting. Food Chem 2017; 233:144-150. [DOI: 10.1016/j.foodchem.2017.04.090] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2016] [Revised: 01/02/2017] [Accepted: 04/16/2017] [Indexed: 11/19/2022]
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20
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Feng T, Li S, Wang S, Pan J. Cross priming amplification with nucleic acid test strip analysis of mutton in meat mixtures. Food Chem 2017; 245:641-645. [PMID: 29287420 DOI: 10.1016/j.foodchem.2017.08.107] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2015] [Revised: 05/24/2017] [Accepted: 08/30/2017] [Indexed: 11/28/2022]
Abstract
A simple, sensitive, accurate and affordable rapid detection of meat species authentication is urgently needed in food industry. In this study, a cross priming amplification (CPA) combining nucleic acid test strip (CPA-Strip) assay for rapid detection of mutton from meat mixture were developed and its feasibility was investigated. In an isothermal CPA system, cytochrome b (cytb) gene as target was amplified at 63°C for 60min. The nucleic acid strip was able to show the corresponding test line in the presence of target gens in 5min. Non-targeting gene interference was not evident. The CPA-Strip has been applied for the detection of 0.1-100% mutton in a thermal treated meat mixtures with a detection limit of a detect limit of 1%. CPA-Strip assay would be a promising simple, rapid and sensitive method for identification of target species in raw and processed meat mixtures.
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Affiliation(s)
- Tao Feng
- College of Life Sciences, China Jiliang University, 258 Xueyuan Street, Xiasha High Education Area, Hangzhou 310018, PR China
| | - Sufang Li
- College of Life Sciences, China Jiliang University, 258 Xueyuan Street, Xiasha High Education Area, Hangzhou 310018, PR China.
| | - Sunan Wang
- Canadian Food and Wine Institute, Niagara College, 135 Taylor Road, Niagara-on-the-Lake, Ontario L0S 1J0, Canada
| | - Jiarong Pan
- College of Life Sciences, China Jiliang University, 258 Xueyuan Street, Xiasha High Education Area, Hangzhou 310018, PR China.
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21
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Ren Y, Li X, Liu Y, Yang L, Cai Y, Quan S, Pan L, Chen S. A novel quantitative real-time PCR method for identification and quantification of mammalian and poultry species in foods. Food Control 2017. [DOI: 10.1016/j.foodcont.2017.01.003] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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22
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Ren J, Deng T, Huang W, Chen Y, Ge Y. A digital PCR method for identifying and quantifying adulteration of meat species in raw and processed food. PLoS One 2017; 12:e0173567. [PMID: 28319152 PMCID: PMC5358868 DOI: 10.1371/journal.pone.0173567] [Citation(s) in RCA: 50] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2016] [Accepted: 02/23/2017] [Indexed: 11/18/2022] Open
Abstract
Meat adulteration is a worldwide concern. In this paper, a new droplet digital PCR (ddPCR) method was developed for the quantitative determination of the presence of chicken in sheep and goat meat products. Meanwhile, a constant (multiplication factor) was introduced to transform the ratio of copy numbers to the proportion of meats. The presented ddPCR method was also proved to be more accurate (showing bias of less than 9% in the range from 5% to 80%) than real-time PCR, which has been widely used in this determination. The method exhibited good repeatability and stability in different thermal treatments and at ultra-high pressure. The relative standard deviation (RSD) values of 5% chicken content was less than 5.4% for ultra-high pressure or heat treatment. Moreover, we confirmed that different parts of meat had no effect on quantification accuracy of the ddPCR method. In contrast to real-time PCR, we examined the performance of ddPCR as a more precise, sensitive and stable analytical strategy to overcome potential problems of discrepancies in amplification efficiency discrepancy and to obtain the copy numbers directly without standard curves. The method and strategy developed in this study can be applied to quantify the presence and to confirm the absence of adulterants not only to sheep but also to other kinds of meat and meat products.
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Affiliation(s)
- Junan Ren
- College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, China
- Agro-product Safety Research Center, Chinese Academy of Inspection and Quarantine, Beijing, China
| | - Tingting Deng
- College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, China
- Agro-product Safety Research Center, Chinese Academy of Inspection and Quarantine, Beijing, China
| | - Wensheng Huang
- Agro-product Safety Research Center, Chinese Academy of Inspection and Quarantine, Beijing, China
| | - Ying Chen
- Agro-product Safety Research Center, Chinese Academy of Inspection and Quarantine, Beijing, China
- * E-mail: (YG); (YC)
| | - Yiqiang Ge
- College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, China
- China Rural Technology Development Center, Beijing, China
- * E-mail: (YG); (YC)
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23
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24
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Amaral JS, Santos G, Oliveira MBP, Mafra I. Quantitative detection of pork meat by EvaGreen real-time PCR to assess the authenticity of processed meat products. Food Control 2017. [DOI: 10.1016/j.foodcont.2016.07.029] [Citation(s) in RCA: 57] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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25
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Druml B, Kaltenbrunner M, Hochegger R, Cichna-Markl M. A novel reference real-time PCR assay for the relative quantification of (game) meat species in raw and heat-processed food. Food Control 2016. [DOI: 10.1016/j.foodcont.2016.05.055] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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26
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Wadle S, Lehnert M, Schuler F, Köppel R, Serr A, Zengerle R, von Stetten F. Simplified development of multiplex real-time PCR through master mix augmented by universal fluorogenic reporters. Biotechniques 2016; 61:123-8. [PMID: 27625206 DOI: 10.2144/000114443] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2016] [Accepted: 06/03/2016] [Indexed: 11/23/2022] Open
Abstract
Mediator probe (MP) PCR is a real-time PCR approach that uses standardized universal fluorogenic reporter oligonucleotides (UR) in conjunction with label-free sequence-specific probes. To enable multiplex real-time MP PCR, we designed a set of five optimized URs with different fluorescent labels. Performance of the optimized URs was verified in multiplex real-time MP PCR for the detection of a pentaplex food panel and a quadruplex methicillin-resistant Staphylococcus aureus (MRSA) panel. Results were comparable to corresponding multiplex hydrolysis probe (HP) PCR, also designated as TaqMan PCR. Analyses of MRSA DNA standards and DNA extracted from patient swab samples showed improved lower limits of detection (LoDs) by a factor of 2-5 when using quadruplex real-time MP PCR instead of HP PCR. The novel set of standardized URs we present here simplifies development of multiplex real-time PCR assays by requiring only the design of label-free probes. In the future, real-time PCR master mixes could be augmented with up to five standardized fluorogenic URs, each emitting light at a different wavelength.
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Affiliation(s)
- Simon Wadle
- Laboratory for MEMS Applications, IMTEK-Department of Microsystems Engineering, University of Freiburg, Freiburg, Germany.,Hahn-Schickard-Institut für Mikroanalysesysteme, Freiburg, Germany
| | - Michael Lehnert
- Laboratory for MEMS Applications, IMTEK-Department of Microsystems Engineering, University of Freiburg, Freiburg, Germany
| | - Friedrich Schuler
- Laboratory for MEMS Applications, IMTEK-Department of Microsystems Engineering, University of Freiburg, Freiburg, Germany.,Hahn-Schickard-Institut für Mikroanalysesysteme, Freiburg, Germany
| | - René Köppel
- Food Control Authority of the Canton of Zürich, Zürich, Switzerland
| | - Annerose Serr
- Department of Medical Microbiology and Hygiene, University Hospital Freiburg, Freiburg, Germany
| | - Roland Zengerle
- Laboratory for MEMS Applications, IMTEK-Department of Microsystems Engineering, University of Freiburg, Freiburg, Germany.,Hahn-Schickard-Institut für Mikroanalysesysteme, Freiburg, Germany.,BIOSS-Centre for Biological Signalling Studies, University of Freiburg, Freiburg, Germany
| | - Felix von Stetten
- Laboratory for MEMS Applications, IMTEK-Department of Microsystems Engineering, University of Freiburg, Freiburg, Germany.,Hahn-Schickard-Institut für Mikroanalysesysteme, Freiburg, Germany
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27
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Druml B, Mayer W, Cichna-Markl M, Hochegger R. Development and validation of a TaqMan real-time PCR assay for the identification and quantification of roe deer (Capreolus capreolus) in food to detect food adulteration. Food Chem 2015; 178:319-26. [DOI: 10.1016/j.foodchem.2015.01.003] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2014] [Revised: 05/29/2014] [Accepted: 01/04/2015] [Indexed: 10/24/2022]
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28
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Iwobi A, Sebah D, Kraemer I, Losher C, Fischer G, Busch U, Huber I. A multiplex real-time PCR method for the quantification of beef and pork fractions in minced meat. Food Chem 2015; 169:305-13. [DOI: 10.1016/j.foodchem.2014.07.139] [Citation(s) in RCA: 63] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2013] [Revised: 07/01/2014] [Accepted: 07/30/2014] [Indexed: 11/24/2022]
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29
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Quantitative analysis of pork and chicken products by droplet digital PCR. BIOMED RESEARCH INTERNATIONAL 2014; 2014:810209. [PMID: 25243184 PMCID: PMC4163444 DOI: 10.1155/2014/810209] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/25/2014] [Revised: 08/15/2014] [Accepted: 08/15/2014] [Indexed: 12/21/2022]
Abstract
In this project, a highly precise quantitative method based on the digital polymerase chain reaction (dPCR) technique was developed to determine the weight of pork and chicken in meat products. Real-time quantitative polymerase chain reaction (qPCR) is currently used for quantitative molecular analysis of the presence of species-specific DNAs in meat products. However, it is limited in amplification efficiency and relies on standard curves based Ct values, detecting and quantifying low copy number target DNA, as in some complex mixture meat products. By using the dPCR method, we find the relationships between the raw meat weight and DNA weight and between the DNA weight and DNA copy number were both close to linear. This enabled us to establish formulae to calculate the raw meat weight based on the DNA copy number. The accuracy and applicability of this method were tested and verified using samples of pork and chicken powder mixed in known proportions. Quantitative analysis indicated that dPCR is highly precise in quantifying pork and chicken in meat products and therefore has the potential to be used in routine analysis by government regulators and quality control departments of commercial food and feed enterprises.
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30
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Authenticity control of game meat products--a single method to detect and quantify adulteration of fallow deer (Dama dama), red deer (Cervus elaphus) and sika deer (Cervus nippon) by real-time PCR. Food Chem 2014; 170:508-17. [PMID: 25306377 DOI: 10.1016/j.foodchem.2014.08.048] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2014] [Revised: 07/15/2014] [Accepted: 08/11/2014] [Indexed: 11/20/2022]
Abstract
This contribution presents a single real-time PCR assay allowing the determination of the deer content (the sum of fallow deer (Dama dama), red deer (Cervus elaphus) and sika deer (Cervus nippon)) in meat products to detect food adulteration. The PCR assay does not show cross-reactivity with 20 animal species and 43 botanical species potentially contained in game meat products. The limit of quantification is 0.5% for fallow deer and red deer and 0.1% for sika deer. The deer content in meat products is determined by relating the concentration obtained with the deer PCR assay to that obtained with a reference system which amplifies mammals and poultry DNA. The analysis of binary meat mixtures with pork, a meat mixture containing equal amounts of fallow deer, red deer and sika deer in pork and a model game sausage showed that the quantification approach is very accurate (systematic error generally <25%).
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31
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Ali ME, Razzak MA, Hamid SBA. Multiplex PCR in Species Authentication: Probability and Prospects—A Review. FOOD ANAL METHOD 2014. [DOI: 10.1007/s12161-014-9844-4] [Citation(s) in RCA: 57] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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