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Long L, Zhao N, Li C, He Y, Dong L, Yan W, Xing Z, Xia W, Ma Y, Xie Y, Liu N, Li F. Development and collaborative validation of an event-specific quantitative real-time PCR method for detection of genetically modified CC-2 maize. FRONTIERS IN PLANT SCIENCE 2024; 15:1460038. [PMID: 39319004 PMCID: PMC11420048 DOI: 10.3389/fpls.2024.1460038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/05/2024] [Accepted: 08/20/2024] [Indexed: 09/26/2024]
Abstract
As one of the developed genetically modified (GM) maize varieties in China, CC-2 has demonstrated promising commercial prospects during demonstration planting. The establishment of detection methods is a technical prerequisite for effective supervision and regulation of CC-2 maize. In this study, we have developed an event-specific quantification method that targets the junction region between the exogenous gene and the 5' flanking genomic DNA (gDNA) of CC-2. The accuracy and precision of this method were evaluated across high, medium, and low levels of CC-2 maize content, revealing biases within ±25% and satisfactory precision data. Additionally, we determined the limits of quantification of the method to be 0.05% (equivalent to 20 copies) of the CC-2 maize. A collaborative trial further confirmed that our event-specific method for detecting CC-2 produces reliable, comparable, and reproducible results when applied to five different samples provided by various sources. Furthermore, we calculated the expanded uncertainty associated with determining the content level of CC-2 in these samples.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | - Feiwu Li
- Institute of Agricultural Quality Standard and Testing Technology, Jilin Academy of
Agricultural Sciences, Changchun, China
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2
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Liu J, Li ZY, Dong J, Gao DW. A universal quantification of transgenic soybean event DAS-68416-4 using duplex digital PCR. JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE 2021; 101:624-630. [PMID: 32687643 DOI: 10.1002/jsfa.10674] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/15/2019] [Revised: 06/18/2020] [Accepted: 07/20/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND As labeling thresholds and low level presence thresholds of genetically modified (GM) components are implemented in more and more countries and regions, the demands for accurate quantification are increasing rapidly. At the same time, digital polymerase chain reaction (PCR) showed considerable benefits compared with former real-time fluorescence PCR in GM component quantification. RESULTS A universal quantification method using duplex digital PCR was established for detection of transgenic soybean event DAS-68416-4. The absolute limits of quantification (LOQs) of DAS-68416-4 event-specific gene and lectin reference gene were 0.61 copies μL-1 and 4.6 copies μL-1 respectively in droplet digital PCR, while 0.522 copies μL-1 and 5.192 copies μL-1 in chip digital PCR. The relative LOQs of DAS-68416-4 percentage content was 0.1% in both two digital PCR systems. CONCLUSION Gene copy ratio is the universal means of expression internationally used in transgenic component contents. Digital polymerase chain reaction (PCR) executes absolute quantification on specific genes, thus is considered to be suitable for detection of transgenic component contents. It was proved in this research on transgenic soybean event DAS-68416-4. Results indicated perfect satisfaction for transgenic component quantification needs in various technical performances of duplex digital PCR including repeatability, quantitative linear relationship and relative limits of quantification. © 2020 Society of Chemical Industry.
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Affiliation(s)
- Jin Liu
- Guangzhou Customs Technology Center, Guangzhou, China
| | - Zhi-Yong Li
- Guangzhou Customs Technology Center, Guangzhou, China
| | - Jie Dong
- Guangzhou Customs Technology Center, Guangzhou, China
| | - Dong-Wei Gao
- Guangzhou Customs Technology Center, Guangzhou, China
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3
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Dolch K, Judas M, Schwägele F, Brüggemann D. Development and validation of two triplex real-time PCR systems for the simultaneous detection of six cereal species in processed meat products. Food Control 2019. [DOI: 10.1016/j.foodcont.2019.02.025] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Venturelli GL, Bischoff JL, Scariot MC, Rossi GB, Arisi ACM. Applicability of quantitative polymerase chain reaction ( qPCR) assays for common bean authentication in processed food. Int J Food Sci Technol 2019. [DOI: 10.1111/ijfs.14041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Gustavo Luiz Venturelli
- CAL CCA UFSC, Molecular Biology Laboratory, Food Science and Technology Department Federal University of Santa Catarina Rod. Admar Gonzaga, 1346 88034‐001 Florianópolis Santa Catarina Brazil
| | - Joana Laura Bischoff
- CAL CCA UFSC, Molecular Biology Laboratory, Food Science and Technology Department Federal University of Santa Catarina Rod. Admar Gonzaga, 1346 88034‐001 Florianópolis Santa Catarina Brazil
| | - Mirella Christine Scariot
- CAL CCA UFSC, Molecular Biology Laboratory, Food Science and Technology Department Federal University of Santa Catarina Rod. Admar Gonzaga, 1346 88034‐001 Florianópolis Santa Catarina Brazil
| | - Gabriela Barbosa Rossi
- CAL CCA UFSC, Molecular Biology Laboratory, Food Science and Technology Department Federal University of Santa Catarina Rod. Admar Gonzaga, 1346 88034‐001 Florianópolis Santa Catarina Brazil
| | - Ana Carolina Maisonnave Arisi
- CAL CCA UFSC, Molecular Biology Laboratory, Food Science and Technology Department Federal University of Santa Catarina Rod. Admar Gonzaga, 1346 88034‐001 Florianópolis Santa Catarina Brazil
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Sousa AI, Ferreira IMPLVO, Faria MA. Sensitive detection of Piper nigrum L. adulterants by a novel screening approach based on qPCR. Food Chem 2019; 283:596-603. [PMID: 30722917 DOI: 10.1016/j.foodchem.2019.01.062] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2018] [Revised: 01/07/2019] [Accepted: 01/11/2019] [Indexed: 01/25/2023]
Abstract
The spice made from the fruits of Piper nigrum L. (Piperaceae) has high economic value since the beginnings of international trade. Because its price has been increasing, adulterations with papaya seeds, cayenne pepper and maize flour were reported. These have been screened by methodologies dedicated to the detection of single adulterants lacking sensitivity and specificity. Herein we propose a specific, highly-sensitive, high-throughput and affordable qPCR-based methodology for the detection of P. nigrum contaminants (Carica papaya, Zea mays and Capsicum annuum) using plant DNA barcodes trnL and psbA-trnH. The method enables the specific detection of contaminants in a short time with low limits of detection (LOD6 values of 1, 2 and 10 Haploid Genome Equivalents). A market survey (29 samples) revealed 41% of samples contaminated, though about ¾ at very low levels indicating accidental contamination. The proposed tool will contribute to the improvement of quality of this much traded spice.
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Affiliation(s)
- Ana I Sousa
- LAQV-REQUIMTE, Department of Chemistry, Faculty of Pharmacy, University of Porto, Rua de Jorge Viterbo Ferreira 228, 4050-313 Porto, Portugal
| | - Isabel M P L V O Ferreira
- LAQV-REQUIMTE, Department of Chemistry, Faculty of Pharmacy, University of Porto, Rua de Jorge Viterbo Ferreira 228, 4050-313 Porto, Portugal
| | - Miguel A Faria
- LAQV-REQUIMTE, Department of Chemistry, Faculty of Pharmacy, University of Porto, Rua de Jorge Viterbo Ferreira 228, 4050-313 Porto, Portugal.
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Jacchia S, Kagkli DM, Lievens A, Angers-Loustau A, Savini C, Emons H, Mazzara M. Identification of single target taxon-specific reference assays for the most commonly genetically transformed crops using digital droplet PCR. Food Control 2018; 93:191-200. [PMID: 30393444 PMCID: PMC6058085 DOI: 10.1016/j.foodcont.2018.06.013] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2018] [Revised: 06/01/2018] [Accepted: 06/07/2018] [Indexed: 11/24/2022]
Abstract
Knowledge of the number of DNA sequences targeted by the taxon-specific reference assays is essential for correct GM quantification and is key to the harmonisation of measurement results. In the present study droplet digital PCR (ddPCR) was used to determine the number of DNA target copies of taxon-specific assays validated for real-time PCR for the four main genetically modified (GM) crops. The transferability of experimental conditions from real-time PCR to ddPCR was also explored, as well as the effect of DNA digestion. The results of this study indicate that for each crop at least one taxon-specific assay can be identified as having a single DNA target. A short list of taxon-specific reference assays is proposed as best candidates for the relative quantification of GM events for soybean, maize, cotton and oilseed rape. The investigated assays could be in most cases transferred to ddPCR without further optimisation. The use of DNA digestion did not improve ddPCR characteristics such as rain and resolution at the conditions tested.
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Affiliation(s)
- Sara Jacchia
- European Commission, Joint Research Centre (JRC), via E. Fermi 2749, 21027 Ispra, Italy
| | - Dafni-Maria Kagkli
- European Commission, Joint Research Centre (JRC), via E. Fermi 2749, 21027 Ispra, Italy
| | - Antoon Lievens
- European Commission, Joint Research Centre (JRC), Retieseweg 111, 2440 Geel, Belgium
| | | | - Christian Savini
- European Commission, Joint Research Centre (JRC), via E. Fermi 2749, 21027 Ispra, Italy
| | - Hendrik Emons
- European Commission, Joint Research Centre (JRC), Retieseweg 111, 2440 Geel, Belgium
| | - Marco Mazzara
- European Commission, Joint Research Centre (JRC), via E. Fermi 2749, 21027 Ispra, Italy
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7
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Wei S, Wang C, Zhu P, Zhou G, Fu W, Wu X. A high-throughput multiplex tandem PCR assay for the screening of genetically modified maize. Lebensm Wiss Technol 2018. [DOI: 10.1016/j.lwt.2017.08.061] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
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Paternò A, Verginelli D, Bonini P, Misto M, Quarchioni C, Dainese E, Peddis S, Fusco C, Vinciguerra D, Marchesi U. In-House Validation and Comparison of Two Wheat (Triticum aestivum) Taxon-Specific Real-Time PCR Methods for GMO Quantification Supported by Droplet Digital PCR. FOOD ANAL METHOD 2017. [DOI: 10.1007/s12161-017-1097-6] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
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9
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Angers-Loustau A, Petrillo M, Paracchini V, Kagkli DM, Rischitor PE, Puertas Gallardo A, Patak A, Querci M, Kreysa J. Towards Plant Species Identification in Complex Samples: A Bioinformatics Pipeline for the Identification of Novel Nuclear Barcode Candidates. PLoS One 2016; 11:e0147692. [PMID: 26807711 PMCID: PMC4725681 DOI: 10.1371/journal.pone.0147692] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2015] [Accepted: 01/07/2016] [Indexed: 11/25/2022] Open
Abstract
Monitoring of the food chain to fight fraud and protect consumer health relies on the availability of methods to correctly identify the species present in samples, for which DNA barcoding is a promising candidate. The nuclear genome is a rich potential source of barcode targets, but has been relatively unexploited until now. Here, we show the development and use of a bioinformatics pipeline that processes available genome sequences to automatically screen large numbers of input candidates, identifies novel nuclear barcode targets and designs associated primer pairs, according to a specific set of requirements. We applied this pipeline to identify novel barcodes for plant species, a kingdom for which the currently available solutions are known to be insufficient. We tested one of the identified primer pairs and show its capability to correctly identify the plant species in simple and complex samples, validating the output of our approach.
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Affiliation(s)
- Alexandre Angers-Loustau
- Molecular Biology and Genomic Unit, Institute for Health and Consumer Protection, Joint Research Center, European Commission, Ispra, Italy
| | - Mauro Petrillo
- Molecular Biology and Genomic Unit, Institute for Health and Consumer Protection, Joint Research Center, European Commission, Ispra, Italy
| | - Valentina Paracchini
- Molecular Biology and Genomic Unit, Institute for Health and Consumer Protection, Joint Research Center, European Commission, Ispra, Italy
| | - Dafni M. Kagkli
- Molecular Biology and Genomic Unit, Institute for Health and Consumer Protection, Joint Research Center, European Commission, Ispra, Italy
| | - Patricia E. Rischitor
- Molecular Biology and Genomic Unit, Institute for Health and Consumer Protection, Joint Research Center, European Commission, Ispra, Italy
| | - Antonio Puertas Gallardo
- Molecular Biology and Genomic Unit, Institute for Health and Consumer Protection, Joint Research Center, European Commission, Ispra, Italy
| | - Alex Patak
- Molecular Biology and Genomic Unit, Institute for Health and Consumer Protection, Joint Research Center, European Commission, Ispra, Italy
| | - Maddalena Querci
- Molecular Biology and Genomic Unit, Institute for Health and Consumer Protection, Joint Research Center, European Commission, Ispra, Italy
| | - Joachim Kreysa
- Molecular Biology and Genomic Unit, Institute for Health and Consumer Protection, Joint Research Center, European Commission, Ispra, Italy
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Jacchia S, Nardini E, Bassani N, Savini C, Shim JH, Trijatmiko K, Kreysa J, Mazzara M. International ring trial for the validation of an event-specific Golden Rice 2 quantitative real-time polymerase chain reaction method. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2015; 63:4954-4965. [PMID: 25946377 DOI: 10.1021/acs.jafc.5b00951] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
This article describes the international validation of the quantitative real-time polymerase chain reaction (PCR) detection method for Golden Rice 2. The method consists of a taxon-specific assay amplifying a fragment of rice Phospholipase D α2 gene, and an event-specific assay designed on the 3' junction between transgenic insert and plant DNA. We validated the two assays independently, with absolute quantification, and in combination, with relative quantification, on DNA samples prepared in haploid genome equivalents. We assessed trueness, precision, efficiency, and linearity of the two assays, and the results demonstrate that both the assays independently assessed and the entire method fulfill European and international requirements for methods for genetically modified organism (GMO) testing, within the dynamic range tested. The homogeneity of the results of the collaborative trial between Europe and Asia is a good indicator of the robustness of the method.
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Affiliation(s)
- Sara Jacchia
- †Molecular Biology and Genomics Unit, Institute for Health and Consumer Protection, European Commission Joint Research Centre, Via E. Fermi 2749, 21027 Ispra, Varese, Italy
| | - Elena Nardini
- †Molecular Biology and Genomics Unit, Institute for Health and Consumer Protection, European Commission Joint Research Centre, Via E. Fermi 2749, 21027 Ispra, Varese, Italy
| | - Niccolò Bassani
- †Molecular Biology and Genomics Unit, Institute for Health and Consumer Protection, European Commission Joint Research Centre, Via E. Fermi 2749, 21027 Ispra, Varese, Italy
| | - Christian Savini
- †Molecular Biology and Genomics Unit, Institute for Health and Consumer Protection, European Commission Joint Research Centre, Via E. Fermi 2749, 21027 Ispra, Varese, Italy
| | - Jung-Hyun Shim
- ‡Plant Breeding, Genetics and Biotechnology Division, International Rice Research Institute, Los Baños, 4031 Laguna, Philippines
| | - Kurniawan Trijatmiko
- ‡Plant Breeding, Genetics and Biotechnology Division, International Rice Research Institute, Los Baños, 4031 Laguna, Philippines
| | - Joachim Kreysa
- †Molecular Biology and Genomics Unit, Institute for Health and Consumer Protection, European Commission Joint Research Centre, Via E. Fermi 2749, 21027 Ispra, Varese, Italy
| | - Marco Mazzara
- †Molecular Biology and Genomics Unit, Institute for Health and Consumer Protection, European Commission Joint Research Centre, Via E. Fermi 2749, 21027 Ispra, Varese, Italy
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