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Chi J, Ding L, Wang X, Chen X, Peng C, Xu J. A platform for precise quantification of gene editing products based on microfluidic chip-based digital PCR. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2024; 16:4783-4793. [PMID: 38961688 DOI: 10.1039/d4ay00863d] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/05/2024]
Abstract
The new generation of gene editing technologies, primarily based on CRISPR/Cas9 and its derivatives, allows for more precise editing of organisms. However, when the editing efficiency is low, only a small fraction of gene fragments is edited, leaving behind minimal traces and making it difficult to detect and evaluate the editing effects. Although a series of technologies and methods have been developed, they lack the ability for precise quantification and quantitative analysis of these products. Digital polymerase chain reaction (dPCR) offers advantages such as high precision and sensitivity, making it suitable for absolute quantification of nucleic acid samples. In the present study, we developed a novel platform for precise quantification of gene editing products based on microfluidic chip-based dPCR. The results indicated that our assay accurately identified different types of edited samples within a variety of different types, including more complex genomic crops such as tetraploid rapeseed and soybean (highly repetitive sequence). The sensitivity of this detection platform was as low as 8.14 copies per μL, with a detection limit of 0.1%. These results demonstrated the superior performance of the platform, including high sensitivity, low detection limit, and wide applicability, enabling precise quantification and assessment of gene editing efficiency. In conclusion, microfluidic chip-based dPCR was used as a powerful tool for precise quantification and assessment of gene editing products.
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Affiliation(s)
- Jingzheng Chi
- College of Advanced Agricultural Sciences, Zhejiang Agriculture and Forestry University, Hangzhou 311300, China
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Key Laboratory of Traceability for Agricultural Genetically Modified Organisms, Ministry of Agriculture and Rural Affairs, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China.
| | - Lin Ding
- College of Advanced Agricultural Sciences, Zhejiang Agriculture and Forestry University, Hangzhou 311300, China
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Key Laboratory of Traceability for Agricultural Genetically Modified Organisms, Ministry of Agriculture and Rural Affairs, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China.
| | - Xiaofu Wang
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Key Laboratory of Traceability for Agricultural Genetically Modified Organisms, Ministry of Agriculture and Rural Affairs, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China.
| | - Xiaoyun Chen
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Key Laboratory of Traceability for Agricultural Genetically Modified Organisms, Ministry of Agriculture and Rural Affairs, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China.
| | - Cheng Peng
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Key Laboratory of Traceability for Agricultural Genetically Modified Organisms, Ministry of Agriculture and Rural Affairs, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China.
| | - Junfeng Xu
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Key Laboratory of Traceability for Agricultural Genetically Modified Organisms, Ministry of Agriculture and Rural Affairs, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China.
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Soga K, Taguchi C, Sugino M, Egi T, Narushima J, Yoshiba S, Takabatake R, Kondo K, Shibata N. [Investigation of Genetically Modified Maize Imported into Japan in 2021/2022 and the Applicability of Japanese Official Methods]. SHOKUHIN EISEIGAKU ZASSHI. JOURNAL OF THE FOOD HYGIENIC SOCIETY OF JAPAN 2023; 64:218-225. [PMID: 38171892 DOI: 10.3358/shokueishi.64.218] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/05/2024]
Abstract
Given that the number of genetically modified (GM) maize events that have been announced as having undergone safety assessment procedures in Japan is increasing yearly, more information is needed about their actual recent domestic distribution in Japan. In this study, we investigated whether current Japanese official qualitative and quantitative methods (the current official methods) for GM maize can comprehensively target events in domestically distributed maize. For samples with the identity-preserved (IP) handling system and non-IP samples from the United States (US) and non-IP samples from Brazil, we performed event-specific real-time PCR targeting 25 authorized single GM maize events in addition to the current official methods. According to our results, 15 events targeted by the current official methods were detected, but insect-resistance (IR) Event5307 and herbicide-tolerant (HT) DAS40278, not targeted by the current official methods, were detected in the US (one out of 5 lots) and Brazilian (four out of 5 lots) non-IP samples, respectively. Nevertheless, a survey of recent GM maize acreage in recent years has revealed that more than 95% of the acreage in US maize is occupied by HT or IR/HT stacked events, and that more than 95% of the acreage in Brazilian maize is occupied by IR or IR/HT stacked events. Because the current official methods can target all stacked events related to Event5307 and DAS40278, the only undetectable events are the single Event5307 and DAS40278, whose production is estimated to be less than 5% of the total production in the producing country. Therefore, we conclude that the current official methods for the labelling of GM maize should be maintained in view of practicability.
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Affiliation(s)
- Keisuke Soga
- Division of Biochemistry, National Institute of Health Sciences
| | - Chie Taguchi
- Division of Biochemistry, National Institute of Health Sciences
| | - Miyu Sugino
- Division of Biochemistry, National Institute of Health Sciences
| | - Tomohiro Egi
- Food and Agricultural Materials Inspection Center
| | | | - Satoko Yoshiba
- Division of Biochemistry, National Institute of Health Sciences
| | - Reona Takabatake
- Division of Analytical Science, Food Research Institute, National Agriculture and Food Research Organization
| | - Kazunari Kondo
- Division of Biochemistry, National Institute of Health Sciences
- Department of Food Safety and Management, Faculty of Food and Health Sciences, Showa Women's University
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3
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Hou Y, Chen S, Zheng Y, Zheng X, Lin JM. Droplet-based digital PCR (ddPCR) and its applications. Trends Analyt Chem 2022. [DOI: 10.1016/j.trac.2022.116897] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
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4
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Soga K, Nakamura K, Egi T, Narushima J, Yoshiba S, Kishine M, Mano J, Kitta K, Takabatake R, Shibata N, Kondo K. Development and Validation of a New Robust Detection Method for Low-Content DNA Using ΔΔCq-Based Real-Time PCR with Optimized Standard Plasmids as a Control Sample. Anal Chem 2022; 94:14475-14483. [PMID: 36205585 PMCID: PMC9583069 DOI: 10.1021/acs.analchem.2c03680] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
![]()
Real-time polymerase
chain reaction (PCR) is the gold standard
for DNA detection in many fields, including food analysis. However,
robust detection using a real-time PCR for low-content DNA samples
remains challenging. In this study, we developed a robust real-time
PCR method for low-content DNA using genetically modified (GM) maize
at concentrations near the limit of detection (LOD) as a model. We
evaluated the LOD of real-time PCR targeting two common GM maize sequences
(P35S and TNOS) using GM maize event MON863 containing a copy of P35S
and TNOS. The interlaboratory study revealed that the LOD differed
among laboratories partly because DNA input amounts were variable
depending on measurements of DNA concentrations. To minimize this
variability for low-content DNA samples, we developed ΔΔCq-based
real-time PCR. In this study, ΔCq and ΔΔCq are as
follows: ΔCq = Cq (P35S or TNOS) – Cq (SSIIb; maize endogenous
gene), ΔΔCq = ΔCq (analytical sample) – ΔCq
(control sample at concentrations near the LOD). The presence of GM
maize was determined based on ΔΔCq values. In addition,
we used optimized standard plasmids containing SSIIb, P35S, and TNOS
with ΔCq equal to the MON863 genomic DNA (gDNA) at concentrations
near the LOD as a control sample. A validation study indicated that
at least 0.2% MON863 gDNA could be robustly detected. Using several
GM maize certified reference materials, we have demonstrated that
this method was practical for detecting low-content GM crops and thus
for validating GM food labeling. With appropriate standards, this
method would be applicable in many fields, not just food.
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Affiliation(s)
- Keisuke Soga
- Division of Biochemistry, National Institute of Health Sciences, 3-25-26, Tonomachi, Kawasaki-ku, Kawasaki-shi210-9501, Kanagawa, Japan
| | - Kosuke Nakamura
- Division of Biochemistry, National Institute of Health Sciences, 3-25-26, Tonomachi, Kawasaki-ku, Kawasaki-shi210-9501, Kanagawa, Japan
| | - Tomohiro Egi
- Food and Agricultural Materials Inspection Center: Saitama Shintoshin National Government Building, Kensato Building 2-1, Shintoshin, Chuo-ku, Saitama-Shi330-9731, Saitama, Japan
| | - Jumpei Narushima
- Division of Biochemistry, National Institute of Health Sciences, 3-25-26, Tonomachi, Kawasaki-ku, Kawasaki-shi210-9501, Kanagawa, Japan
| | - Satoko Yoshiba
- Division of Biochemistry, National Institute of Health Sciences, 3-25-26, Tonomachi, Kawasaki-ku, Kawasaki-shi210-9501, Kanagawa, Japan
| | - Masahiro Kishine
- National Agriculture and Food Research Organization, 2-1-12 Kannondai, Tsukuba305-8642, Ibaraki, Japan
| | - Junichi Mano
- National Agriculture and Food Research Organization, 2-1-12 Kannondai, Tsukuba305-8642, Ibaraki, Japan
| | - Kazumi Kitta
- National Agriculture and Food Research Organization, 2-1-12 Kannondai, Tsukuba305-8642, Ibaraki, Japan
| | - Reona Takabatake
- National Agriculture and Food Research Organization, 2-1-12 Kannondai, Tsukuba305-8642, Ibaraki, Japan
| | - Norihito Shibata
- Division of Biochemistry, National Institute of Health Sciences, 3-25-26, Tonomachi, Kawasaki-ku, Kawasaki-shi210-9501, Kanagawa, Japan
| | - Kazunari Kondo
- Division of Biochemistry, National Institute of Health Sciences, 3-25-26, Tonomachi, Kawasaki-ku, Kawasaki-shi210-9501, Kanagawa, Japan
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Kalwar BA, Fangzong W, Saeed MH, Bhutto AA, Tunio MA, Bhagat K. Geometric, spintronic, and opto‐electronic properties of 3d transition metals doped silicene: An ab initio study. J CHIN CHEM SOC-TAIP 2022. [DOI: 10.1002/jccs.202200234] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Basheer Ahmed Kalwar
- College of Electrical Engineering and New Energy China Three Gorges University Yichang China
- Department of Electrical Engineering Mehran University of Engineering and Technology, SZAB Campus Khairpur Mirs Pakistan
| | - Wang Fangzong
- College of Electrical Engineering and New Energy China Three Gorges University Yichang China
| | - Muhammad Hammad Saeed
- College of Electrical Engineering and New Energy China Three Gorges University Yichang China
| | - Aqeel Ahmed Bhutto
- Department of Mechanical Engineering Mehran University of Engineering and Technology, SZAB Campus Khairpur Mirs Pakistan
| | - Mohsin Ali Tunio
- Department of Electrical Engineering Mehran University of Engineering and Technology, SZAB Campus Khairpur Mirs Pakistan
| | - Kalsoom Bhagat
- Department of Electrical Engineering Mehran University of Engineering and Technology, SZAB Campus Khairpur Mirs Pakistan
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Tan LL, Loganathan N, Agarwalla S, Yang C, Yuan W, Zeng J, Wu R, Wang W, Duraiswamy S. Current commercial dPCR platforms: technology and market review. Crit Rev Biotechnol 2022; 43:433-464. [PMID: 35291902 DOI: 10.1080/07388551.2022.2037503] [Citation(s) in RCA: 37] [Impact Index Per Article: 18.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Digital polymerase chain reaction (dPCR) technology has provided a new technique for molecular diagnostics, with superior advantages, such as higher sensitivity, precision, and specificity over quantitative real-time PCRs (qPCR). Eight companies have offered commercial dPCR instruments: Fluidigm Corporation, Bio-Rad, RainDance Technologies, Life Technologies, Qiagen, JN MedSys Clarity, Optolane, and Stilla Technologies Naica. This paper discusses the working principle of each offered dPCR device and compares the associated: technical aspects, usability, costs, and current applications of each dPCR device. Lastly, up-and-coming dPCR technologies are also presented, as anticipation of how the dPCR device landscape may likely morph in the next few years.
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Affiliation(s)
- Li Ling Tan
- Singapore Institute of Manufacturing Technology, Singapore, Singapore.,Materials Science and Engineering School, Nanyang Technological University, Singapore, Singapore
| | - Nitin Loganathan
- Singapore Institute of Manufacturing Technology, Singapore, Singapore
| | - Sushama Agarwalla
- Department of Chemical Engineering, Indian Institute of Technology Hyderabad, Hyderabad, India
| | - Chun Yang
- Mechanical and Aerospace Engineering School, Nanyang Technological University, Singapore, Singapore
| | - Weiyong Yuan
- Faculty of Materials & Energy, Institute for Clean Energy and Advanced Materials, Southwest University, Chongqing, China.,Chongqing Key Laboratory for Advanced Materials and Technologies of Clean Energies, Chongqing, China
| | - Jasmine Zeng
- Singapore Institute of Manufacturing Technology, Singapore, Singapore
| | - Ruige Wu
- Singapore Institute of Manufacturing Technology, Singapore, Singapore
| | - Wei Wang
- Singapore Institute of Manufacturing Technology, Singapore, Singapore
| | - Suhanya Duraiswamy
- Department of Chemical Engineering, Indian Institute of Technology Hyderabad, Hyderabad, India
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7
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Wang C, Huang C, Zhu P, Du Z, Wei S, Fu W. Applicability of a General Analytical Approach for Detection of Genetically Modified Organisms: Collaborative Trial. J AOAC Int 2021; 105:476-482. [PMID: 34927696 DOI: 10.1093/jaoacint/qsab154] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Revised: 11/21/2021] [Accepted: 11/27/2021] [Indexed: 11/14/2022]
Abstract
BACKGROUND With the commercialization of genetically modified organisms (GMOs) in the market, laboratories have undergone a significantly increased workload. A universal analytical approach was designed to achieve cost-efficient and high-throughput GMOs screening with high specificity and accuracy. The approach provides accurate qualification of authorized and unauthorized GMOs. OBJECTIVE This paper describes the assessment of this analytical approach developed to detect majority of commercialized GMOs over the world. METHODS Seven elements and three events were detected by qPCR in a single laboratory to detect 59 commercialized GMOs. Certificated reference materials and food/feed samples from Chinese market were also evaluated for the specificity, conformity and robustness of this approach and were challenged in the inter-laboratory study. RESULTS The results showed that elements and events selected can best detect GMO presence with good specificity and sensitivity. The results showed a concordance between 97.5% and 99.56% and the variance between 0.65% and 12.88%, which is in line with the minimum requirement of analytical methods of GMO testing. CONCLUSION The approach validated here can be used to manipulate GMO presence in food and feed and showed the capacity to manipulate GMOs trace in the trade and domestic agriculture grocery in China. HIGHLIGHTS A universal analytical approach used to track GMO presence was evaluated for its specificity, sensitivity and robustness.
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Affiliation(s)
- Chenguang Wang
- Chinese Academy of Inspection and Quarantine, Beijing, 100176 China
| | - Chunmeng Huang
- Chinese Academy of Inspection and Quarantine, Beijing, 100176 China.,College of Plant Protection, China Agricultural University, Beijing, 100083 China
| | - Pengyu Zhu
- Chinese Academy of Inspection and Quarantine, Beijing, 100176 China
| | - Zhixin Du
- Technical Center of Nanning Customs District, Nanning, Guangxi, 530021 China
| | - Shuang Wei
- Inspection and Quarantine Technology Centre of China Customs, Guangzhou, Guangdong, 510623 China
| | - Wei Fu
- Chinese Academy of Inspection and Quarantine, Beijing, 100176 China.,College of Plant Protection, China Agricultural University, Beijing, 100083 China
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Zheng Q, Ji C, Liu R, Xu J, Wang Y, Yang A, Zheng W, Cao J. Detection of soybean transgenic event GTS-40-3-2 using electric field-induced release and measurement (EFIRM). Anal Bioanal Chem 2021; 413:6671-6676. [PMID: 34523013 DOI: 10.1007/s00216-021-03634-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Revised: 08/19/2021] [Accepted: 08/23/2021] [Indexed: 01/01/2023]
Abstract
Polymerase chain reaction (PCR) technology has become a standard technique for the detection of genetically modified organisms (GMOs). However, this method requires a PCR amplification process which is both expensive and time-consuming. Herein, we propose electric field-induced release and measurement (EFIRM) technology as an alternative method for GMO screening. The specificity and sensitivity of the EFIRM assay were proven to be comparable to those of the real-time PCR method for detecting genetically modified soybeans. After all the parameters had been evaluated, the actual evaluation of soybean samples from soybean cargoes was performed. An actual EFIRM screening was performed on 157 soybean cargo samples, which had 102 transgenic soybean samples containing the GTS-40-3-2 gene, through a blind trial at the Dalian port of China. Our results showed that 101 transgenic soybean samples were correctly detected, with only one false-negative case, and 55 non-transgenic soybean samples were detected as negative; this demonstrates that the EFIRM assay is an effective, accurate, simple, and economical novel method for detecting transgenic products, which may have a positive impact on the development of rapid on-site GMO monitoring platforms.
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Affiliation(s)
- Qiuyue Zheng
- Key Laboratory of Biotechnology and Bioresources Utilization of Ministry of Education, College of Life Science, Dalian Minzu University, Dalian, 116600, China
| | - Chao Ji
- Laboratory for Quality Control and Traceability of Food, Tianjin Normal University, Tianjin, 300387, People's Republic of China
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan Agricultural University, Kunming, 650201, People's Republic of China
| | - Ran Liu
- Technology Center of Dalian Customs District, Dalian, 116001, People's Republic of China
| | - Junyi Xu
- Technology Center of Dalian Customs District, Dalian, 116001, People's Republic of China
| | - Yong Wang
- Tianjin Academy of Agricultural Sciences, Tianjin, 300192, People's Republic of China
| | - Aifu Yang
- Technology Center of Dalian Customs District, Dalian, 116001, People's Republic of China
| | - Wenjie Zheng
- Laboratory for Quality Control and Traceability of Food, Tianjin Normal University, Tianjin, 300387, People's Republic of China.
| | - Jijuan Cao
- Key Laboratory of Biotechnology and Bioresources Utilization of Ministry of Education, College of Life Science, Dalian Minzu University, Dalian, 116600, China.
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Noma S, Kikuchi Y, Satou M, Tanaka T, Takiya T, Okusu H, Futo S, Takabatake R, Kitta K, Mano J. Simple, precise, and less-biased GMO quantification by multiplexed genetic element-specific digital PCR. J AOAC Int 2021; 105:159-166. [PMID: 34626115 DOI: 10.1093/jaoacint/qsab138] [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] [Received: 04/27/2021] [Revised: 08/24/2021] [Accepted: 09/29/2021] [Indexed: 11/13/2022]
Abstract
BACKGROUND To provide the consumer with choices of GMO or non-GMO, official food labeling systems were established in many countries. Because the threshold GMO content values were set to distinguish between "non-GMO" and "GMO" designations, GMO content quantification method are required for ensuring the appropriateness of labeling. OBJECTIVE As the number of GMOs is continuously increasing around the world, we set out to develop a low-cost, simple and less-biased analytical strategy to cover all necessary detection targets. METHODS Digital PCR methods are advantageous compared to the conventional quantitative real-time PCR methods. We developed a digital PCR-based GMO quantification method to evaluate the GMO content in maize grains. To minimize the analytical workload, we adopted multiplex digital PCR targeting 35S promoter and NOS terminator, which are genetic elements commonly introduced in many GMOs. RESULTS Our method is significantly simpler and more precise than the conventional real-time PCR-based methods. Additionally, we found that this method enables to quantify the copy number of GM DNA without double counting multiple elements (P35S and TNOS) tandemly placed in a recombinant DNA construct. CONCLUSION This is the first report on the development of a GM maize quantification method using the multiplexed genetic element-specific digital PCR method. The tandem effect we report here is quite useful for reducing the bias in the analytical results. HIGHLIGHTS Multiplexed genetic element-specific digital PCR can simplify weight-based GMO quantification and thus should prove useful in light of the continuous increase in the numbers of GM events.
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Affiliation(s)
- Satoshi Noma
- Research Center for Basic Science, Nisshin Seifun Group Inc., 5-3-1 Tsurugaoka, Fujimino, Saitama 356-8511, Japan
| | - Yosuke Kikuchi
- Research Center for Basic Science, Nisshin Seifun Group Inc., 5-3-1 Tsurugaoka, Fujimino, Saitama 356-8511, Japan
| | - Megumi Satou
- Food Research Center, Nippn Corporation, 5-1-3 Midorigaoka, Atsugi, Kanagawa 243-0041, Japan
| | - Tomoki Tanaka
- Food Research Center, Nippn Corporation, 5-1-3 Midorigaoka, Atsugi, Kanagawa 243-0041, Japan
| | - Toshiyuki Takiya
- Food Research Center, Nippn Corporation, 5-1-3 Midorigaoka, Atsugi, Kanagawa 243-0041, Japan
| | - Hideki Okusu
- Food Research Center, Nippn Corporation, 5-1-3 Midorigaoka, Atsugi, Kanagawa 243-0041, Japan
| | - Satoshi Futo
- FASMAC Co., Ltd., 5-1-3 Midorigaoka, Atsugi, Kanagawa 243-0041, Japan
| | - Reona Takabatake
- Institute of Food Research, National Agriculture and Food Research Organization, 2-1-12 Kannondai, Tsukuba, Ibaraki 305-8642, Japan
| | - Kazumi Kitta
- Institute of Food Research, National Agriculture and Food Research Organization, 2-1-12 Kannondai, Tsukuba, Ibaraki 305-8642, Japan
| | - Junichi Mano
- Institute of Food Research, National Agriculture and Food Research Organization, 2-1-12 Kannondai, Tsukuba, Ibaraki 305-8642, Japan
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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: 1.3] [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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Takabatake R, Onishi M, Minegishi Y, Futo S, Soga K, Nakamura K, Kondo K, Mano J, Kitta K. Development of a Novel Detection Method Targeting an Ultrashort 25 bp Sequence Found in Agrobacterium-Mediated Transformed GM Plants. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2020; 68:15327-15334. [PMID: 33296196 DOI: 10.1021/acs.jafc.0c03864] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Agrobacterium-mediated transformation is the most commonly used technique for plant genetic engineering. During the transformation, a T-DNA region, which is flanked by the right border (RB) and the left border, is transferred to plant nuclear chromosomes. Simultaneously, a sequence adjacent to the RB on T-DNA is frequently transferred to plant genomes together with the intentionally introduced recombinant DNA. We developed a novel polymerase chain reaction (PCR)-mediated detection method targeting this region. The conserved sequence of the region found in genetically modified (GM) crops is only 25 bp in length. To detect this ultrashort 25 bp sequence near the RB region, we designed a primer set consisting of a 12-base forward primer and a 13-base reverse primer. The predicted band was detected from GM crops by optimizing the PCR conditions. We used lateral flow DNA chromatography for rapid and inexpensive detection. The developed method would be applicable for screening the GM crops generated by Agrobacterium-mediated transformation.
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Affiliation(s)
- Reona Takabatake
- Division of Analytical Science, Food Research Institute, National Agriculture and Food Research Organization, 2-1-12 Kannondai, Tsukuba, Ibaraki 305-8642, Japan
| | - Mari Onishi
- FASMAC Co., Ltd., 5-1-3 Midorigaoka, Atsugi, Kanagawa 243-0041, Japan
| | - Yasutaka Minegishi
- Nippon Gene Co., Ltd., 1-5, Kandanishiki-cho, Chiyoda-ku, Tokyo 101-0054, Japan
| | - Satoshi Futo
- FASMAC Co., Ltd., 5-1-3 Midorigaoka, Atsugi, Kanagawa 243-0041, Japan
| | - Keisuke Soga
- National Institute of Health Sciences, 3-25-26, Tonomachi, Kawasaki-ku, Kawasaki-shi, Kanagawa 210-9501, Japan
| | - Kosuke Nakamura
- National Institute of Health Sciences, 3-25-26, Tonomachi, Kawasaki-ku, Kawasaki-shi, Kanagawa 210-9501, Japan
| | - Kazunari Kondo
- National Institute of Health Sciences, 3-25-26, Tonomachi, Kawasaki-ku, Kawasaki-shi, Kanagawa 210-9501, Japan
| | - Junichi Mano
- Division of Analytical Science, Food Research Institute, National Agriculture and Food Research Organization, 2-1-12 Kannondai, Tsukuba, Ibaraki 305-8642, Japan
| | - Kazumi Kitta
- Division of Analytical Science, Food Research Institute, National Agriculture and Food Research Organization, 2-1-12 Kannondai, Tsukuba, Ibaraki 305-8642, Japan
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12
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Otuboah FY, Zheng J, Chen C, Wang Z, Wan X, Sun L. High-throughput and uniform large field-of-view multichannel fluorescence microscopy with super-thin dichroism for a dPCR gene chip. APPLIED OPTICS 2020; 59:10768-10776. [PMID: 33361897 DOI: 10.1364/ao.403495] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/07/2020] [Accepted: 10/26/2020] [Indexed: 06/12/2023]
Abstract
With the rapid development of digital precision medicine, the digital polymerase chain reaction (dPCR) deoxyribonucleic acid (DNA) gene chip integrates more channels with smaller size and larger area, which leads to a higher technical requirement for commercial optical fluorescence microscopy. The multitime image splicing method is widely used for DNA detection. However, it consumes time and has visible seamless image results. This work has demonstrated the design and fabrication of a three channel reversed and reduced fluorescence microscopic imaging system with high-resolution and large field of view for one-time imaging. We introduced the super ultra-thin dichroic mirror into the space between the objective lens and the gene chip to achieve a uniform illumination and a strong signal for the large area gene chip. The fabricated new fluorescence microscopy can take a one-time imaging for the 28×18mm dPCR gene chip with more than 20,000 multi micro-droplets within FAM, HEX, and ROX fluorescence channels. The optical system was designed with a numerical aperture (NA) of 0.106. Modulation transfer function (MTF) is higher than 0.675 at 70 lp/mm, and the function resolution capability is 10 µm with the whole magnification of -0.65times. The fly's eye lens-based illumination system was tested with a uniform output of over 90% in the whole ϕ34.7mm chip area. The design was tested, and the experimental results showed that this new system provides a fast, efficient, and professional optical imaging method for detection of the new emerged digital PCR gene chip, which has larger area and more channels.
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Digital PCR: What Relevance to Plant Studies? BIOLOGY 2020; 9:biology9120433. [PMID: 33266157 PMCID: PMC7760125 DOI: 10.3390/biology9120433] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/03/2020] [Revised: 11/25/2020] [Accepted: 11/27/2020] [Indexed: 01/01/2023]
Abstract
Simple Summary Digital PCR is a third-generation technology based on the subdivision of the analytical sample into numerous partitions that are amplified individually. This review presents the major applications of digital PCR (dPCR) technology developed so far in the field of plant science. In greater detail, dPCR assays have been developed to trace genetically modified plant components, pathogenic and non-pathogenic microorganisms, and plant species. Other applications have concerned the study of the aspects of structural and functional genetics. Abstract Digital PCR (dPCR) is a breakthrough technology that able to provide sensitive and absolute nucleic acid quantification. It is a third-generation technology in the field of nucleic acid amplification. A unique feature of the technique is that of dividing the sample into numerous separate compartments, in each of which an independent amplification reaction takes place. Several instrumental platforms have been developed for this purpose, and different statistical approaches are available for reading the digital output data. The dPCR assays developed so far in the plant science sector were identified in the literature, and the major applications, advantages, disadvantages, and applicative perspectives of the technique are presented and discussed in this review.
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14
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Quantitative detection of viable but nonculturable state Escherichia coli O157:H7 by ddPCR combined with propidium monoazide. Food Control 2020. [DOI: 10.1016/j.foodcont.2020.107140] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
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15
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Fu W, Wang C, Zhu P, Xu W, Li X, Zhu S. A universal analytical approach for screening and monitoring of authorized and unauthorized GMOs. Lebensm Wiss Technol 2020. [DOI: 10.1016/j.lwt.2020.109176] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
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16
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Bak A, Emerson JB. Cauliflower mosaic virus (CaMV) Biology, Management, and Relevance to GM Plant Detection for Sustainable Organic Agriculture. FRONTIERS IN SUSTAINABLE FOOD SYSTEMS 2020. [DOI: 10.3389/fsufs.2020.00021] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
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17
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Establishment and application of a loop-mediated isothermal amplification method with double-stranded displacement probes to quantify the genetically modified rice M12 event. Eur Food Res Technol 2020. [DOI: 10.1007/s00217-020-03430-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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18
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Liu H, Wang J, Li P, Bai L, Jia J, Pan A, Long X, Cui W, Tang X. Rapid detection of P–35S and T-nos in genetically modified organisms by recombinase polymerase amplification combined with a lateral flow strip. Food Control 2020. [DOI: 10.1016/j.foodcont.2019.106775] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
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19
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Tian J, Chu H, Zhang Y, Li K, Tian H, Zhang X, Xu W. TiO 2 Nanoparticle-Enhanced Linker Recombinant Strand Displacement Amplification (LRSDA) for Universal Label-Free Visual Bioassays. ACS APPLIED MATERIALS & INTERFACES 2019; 11:46504-46514. [PMID: 31755686 DOI: 10.1021/acsami.9b16314] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
The influence of nanomaterials on dynamic isothermal amplification and their morphology regulated by bionic biological reactions in vitro remain unknown. From a theoretical perspective, TiO2 nanoparticles enhance the amplification efficiency and reaction specificity of recombinase polymerase amplification (RPA). These nanoparticles aggregated into larger nanoclusters by adsorbing RPA components, termed nanoscale RPA factories, which increased their local concentrations to enhance RPA. Following the nick/extension cycles mediated by a bifunctional linker located at the 5' end of the forward primers, the TiO2 nanoparticle-enhanced LRSDA process produces single-stranded products, constituting the G-quadruplex DNAzymes and catalyzing the chromogenic substrate to facilitate colorimetric analysis for on-site bioassays. Salmonella spp. and genetically modified maize MON810 could be detected with a detection limit of 4 cfu/mL and 0.1% transgenic components, respectively. Briefly, TiO2-assisted isothermal molecular amplification addressed the demands of practical on-site applications.
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Affiliation(s)
- Jingjing Tian
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science & Nutritional Engineering , China Agricultural University , Beijing 100083 , People's Republic of China
- Key Laboratory of Safety Assessment of Genetically Modified Organism (Food Safety) , Ministry of Agriculture , Beijing 100083 , People's Republic of China
| | - Huashuo Chu
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science & Nutritional Engineering , China Agricultural University , Beijing 100083 , People's Republic of China
| | - Yuan Zhang
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science & Nutritional Engineering , China Agricultural University , Beijing 100083 , People's Republic of China
- College of Food Science and Technology , Agricultural University of Hebei , Baoding , Hebei 071001 , People's Republic of China
| | - Kai Li
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science & Nutritional Engineering , China Agricultural University , Beijing 100083 , People's Republic of China
| | - Hongtao Tian
- College of Food Science and Technology , Agricultural University of Hebei , Baoding , Hebei 071001 , People's Republic of China
| | - Xiujie Zhang
- Department Center of Science and Technology , Ministry of Agriculture and Rural Affairs , Beijing 100176 , People's Republic of China
| | - Wentao Xu
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science & Nutritional Engineering , China Agricultural University , Beijing 100083 , People's Republic of China
- Key Laboratory of Safety Assessment of Genetically Modified Organism (Food Safety) , Ministry of Agriculture , Beijing 100083 , People's Republic of China
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20
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Deng T, Huang W, Ren J, Ma X, Ge Y, Chen Y. Verification and applicability of endogenous reference genes for quantifying GM rice by digital PCR. Anal Biochem 2019; 587:113442. [DOI: 10.1016/j.ab.2019.113442] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2019] [Revised: 09/16/2019] [Accepted: 09/16/2019] [Indexed: 11/28/2022]
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21
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Bak A, Emerson JB. Multiplex quantitative PCR for single-reaction genetically modified (GM) plant detection and identification of false-positive GM plants linked to Cauliflower mosaic virus (CaMV) infection. BMC Biotechnol 2019; 19:73. [PMID: 31699075 PMCID: PMC6836441 DOI: 10.1186/s12896-019-0571-1] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2019] [Accepted: 10/15/2019] [Indexed: 01/05/2023] Open
Abstract
Background Most genetically modified (GM) plants contain a promoter, P35S, from the plant virus, Cauliflower mosaic virus (CaMV), and many have a terminator, TNOS, derived from the bacterium, Agrobacterium tumefaciens. Assays designed to detect GM plants often target the P35S and/or TNOS DNA sequences. However, because the P35S promoter is derived from CaMV, these detection assays can yield false-positives from non-GM plants infected by this naturally-occurring virus. Results Here we report the development of an assay designed to distinguish CaMV-infected plants from GM plants in a single multiplexed quantitative PCR (qPCR) reaction. Following initial testing and optimization via PCR and singleplex-to-multiplex qPCR on both plasmid and plant DNA, TaqMan qPCR probes with different fluorescence wavelengths were designed to target actin (a positive-control plant gene), P35S, P3 (a CaMV-specific gene), and TNOS. We tested the specificity of our quadruplex qPCR assay using different DNA extracts from organic watercress and both organic and GM canola, all with and without CaMV infection, and by using commercial and industrial samples. The limit of detection (LOD) of each target was determined to be 1% for actin, 0.001% for P35S, and 0.01% for both P3 and TNOS. Conclusions This assay was able to distinguish CaMV-infected plants from GM plants in a single multiplexed qPCR reaction for all samples tested in this study, suggesting that this protocol is broadly applicable and readily transferrable to any interested parties with a qPCR platform.
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Affiliation(s)
- Aurélie Bak
- Department of Plant Pathology, University of California, Davis, CA, 95616, USA
| | - Joanne B Emerson
- Department of Plant Pathology, University of California, Davis, CA, 95616, USA.
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22
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Zhu P, Fu W, Wei S, Liu X, Wang C, Lu Y, Shang Y, Wu X, Wu Y, Zhu S. A high-throughput and ultrasensitive identification methodology for unauthorized GMP component based on suspension array and logical calculator. Sci Rep 2019; 9:7311. [PMID: 31086245 PMCID: PMC6513989 DOI: 10.1038/s41598-019-43863-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2018] [Accepted: 04/24/2019] [Indexed: 01/08/2023] Open
Abstract
To solve the problem of the unauthorized GMP components within import and export goods, the LI-US (Logic Identification of unauthorized GMP content by Universal-primer Suspension-array) system, which takes advantage of suspension array and logic calculator, was developed in the present study. Seventeen signal input channels have been optimized and validated in our research to ensure the multiplex practicality of the LI-US system. Three LI-US logic gates, including a YES gate, an OR gate and an AND gate, were designed as different detection strategies for GMP identification. The feasibility and specificity of the LI-US system were validated in the present study. Combining the optimization and evaluation of the signal input procedure, the sensitivity of this LI-US system reached 0.05% of the GMP mass concentration. The practicability evaluation of LI-US demonstrated its application within different substrates and varieties. In conclusion, the LI-US system was developed with extremely high specificity, sensitivity and practicability among different substrates and varieties, which could meet the demands of unauthorized GMP contents for both import and export goods.
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Affiliation(s)
- Pengyu Zhu
- Chinese Academy of Inspection and Quarantine, Beijing, 100029, China
| | - Wei Fu
- Chinese Academy of Inspection and Quarantine, Beijing, 100029, China
| | - Shuang Wei
- Guangdong Entry-Exit Inspection and Quarantine Bureau, Guangdong, 510000, China
| | - Xiao Liu
- Chinese Academy of Inspection and Quarantine, Beijing, 100029, China
| | - Chenguang Wang
- Chinese Academy of Inspection and Quarantine, Beijing, 100029, China
| | - Yun Lu
- Chinese Academy of Inspection and Quarantine, Beijing, 100029, China
| | - Ying Shang
- Yunnan Insititute of Food Safety, Kunmming University of Science and technology, Yunnan, 650500, China
| | - Xiyang Wu
- Department of Food Science and Engineering, Jinan University, Guangzhou, 510000, China
| | - Yuping Wu
- Chinese Academy of Inspection and Quarantine, Beijing, 100029, China.
| | - Shuifang Zhu
- Chinese Academy of Inspection and Quarantine, Beijing, 100029, China.
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23
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A highly integrated real-time digital PCR device for accurate DNA quantitative analysis. Biosens Bioelectron 2019; 128:151-158. [PMID: 30660930 DOI: 10.1016/j.bios.2018.12.055] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2018] [Revised: 12/21/2018] [Accepted: 12/25/2018] [Indexed: 11/23/2022]
Abstract
Misclassification of positive partitions in microfluidic digital polymerase chain reaction (dPCR) can cause the false positives and false negatives, which significantly alter the resulting estimate of target DNA molecules. To address this issue, establishing real-time fluorescence interrogation of each partition in microfluidic arrays is an effective way in which false positive and false negative partitions can be eliminated. However, currently available devices for real-time fluorescence interrogation are either not competent for microfluidic digital array, or they are bulky, expensive and entail peripheral equipment due to low integration. Therefore, in this study, a Raspberry Pi based, low-cost and highly integrated device is presented to achieve real-time fluorescence detection for microfluidic digital array, termed real-time dPCR device. In the device, uniform thermocycler, streamlined real-time fluorescence imaging setup, and compact data processing system are all integrated to undergo on-chip dPCR amplification, real-time fluorescence detection, and data analysis. Using this real-time dPCR device, the accuracy of DNA absolute quantification by dPCR is improved, since the misclassification of positive partitions is efficiently reduced based on the characteristic real-time fluorescence curves of positive partitions in a self-priming microfluidic chip. Compared with end-point dPCR on our device and commercialized QuantStudio™ 3D dPCR system, the real-time dPCR on our device exhibits a higher accuracy for DNA quantification. In addition, this real-time dPCR device is much smaller and cheaper than the commercialized Digital PCR system, but not sacrificing the capability of error correction for absolute quantitation analysis. Conclusively, this highly integrated real-time dPCR device is very beneficial for DNA quantitative analysis where the determination accuracy is pivotal.
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24
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Niu C, Xu Y, Zhang C, Zhu P, Huang K, Luo Y, Xu W. Ultrasensitive Single Fluorescence-Labeled Probe-Mediated Single Universal Primer-Multiplex-Droplet Digital Polymerase Chain Reaction for High-Throughput Genetically Modified Organism Screening. Anal Chem 2018; 90:5586-5593. [PMID: 29652133 DOI: 10.1021/acs.analchem.7b03974] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
As genetically modified (GM) technology develops and genetically modified organisms (GMOs) become more available, GMOs face increasing regulations and pressure to adhere to strict labeling guidelines. A singleplex detection method cannot perform the high-throughput analysis necessary for optimal GMO detection. Combining the advantages of multiplex detection and droplet digital polymerase chain reaction (ddPCR), a single universal primer-multiplex-ddPCR (SUP-M-ddPCR) strategy was proposed for accurate broad-spectrum screening and quantification. The SUP increases efficiency of the primers in PCR and plays an important role in establishing a high-throughput, multiplex detection method. Emerging ddPCR technology has been used for accurate quantification of nucleic acid molecules without a standard curve. Using maize as a reference point, four heterologous sequences ( 35S, NOS, NPTII, and PAT) were selected to evaluate the feasibility and applicability of this strategy. Surprisingly, these four genes cover more than 93% of the transgenic maize lines and serve as preliminary screening sequences. All screening probes were labeled with FAM fluorescence, which allows the signals from the samples with GMO content and those without to be easily differentiated. This fiveplex screening method is a new development in GMO screening. Utilizing an optimal amplification assay, the specificity, limit of detection (LOD), and limit of quantitation (LOQ) were validated. The LOD and LOQ of this GMO screening method were 0.1% and 0.01%, respectively, with a relative standard deviation (RSD) < 25%. This method could serve as an important tool for the detection of GM maize from different processed, commercially available products. Further, this screening method could be applied to other fields that require reliable and sensitive detection of DNA targets.
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Affiliation(s)
- Chenqi Niu
- Laboratory of Food Safety, College of Food Science and Nutritional Engineering , China Agricultural University , Beijing 100083 , China
| | - Yuancong Xu
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science & Nutritional Engineering , China Agricultural University , Beijing 100083 , China.,Laboratory of Food Safety, College of Food Science and Nutritional Engineering , China Agricultural University , Beijing 100083 , China
| | - Chao Zhang
- Laboratory of Food Safety, College of Food Science and Nutritional Engineering , China Agricultural University , Beijing 100083 , China
| | - Pengyu Zhu
- The Institute of Plant Quarantine , Chinese Academy of Inspection and Quarantine , Beijing 100029 , China
| | - Kunlun Huang
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science & Nutritional Engineering , China Agricultural University , Beijing 100083 , China.,Laboratory of Food Safety, College of Food Science and Nutritional Engineering , China Agricultural University , Beijing 100083 , China.,Key Laboratory of Safety Assessment of Genetically Modified Organism (Food Safety) , Ministry of Agriculture , Beijing 100083 , China
| | - Yunbo Luo
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science & Nutritional Engineering , China Agricultural University , Beijing 100083 , China.,Key Laboratory of Safety Assessment of Genetically Modified Organism (Food Safety) , Ministry of Agriculture , Beijing 100083 , China
| | - Wentao Xu
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science & Nutritional Engineering , China Agricultural University , Beijing 100083 , China.,Laboratory of Food Safety, College of Food Science and Nutritional Engineering , China Agricultural University , Beijing 100083 , China.,Key Laboratory of Safety Assessment of Genetically Modified Organism (Food Safety) , Ministry of Agriculture , Beijing 100083 , China
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25
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Zulak KG, Cox BA, Tucker MA, Oliver RP, Lopez-Ruiz FJ. Improved Detection and Monitoring of Fungicide Resistance in Blumeria graminis f. sp. hordei With High-Throughput Genotype Quantification by Digital PCR. Front Microbiol 2018; 9:706. [PMID: 29706938 PMCID: PMC5908980 DOI: 10.3389/fmicb.2018.00706] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2018] [Accepted: 03/27/2018] [Indexed: 01/09/2023] Open
Abstract
The increased occurrence of triazole fungicide resistant strains of Blumeria graminis f. sp. hordei (Bgh) is an economic concern for the barley industry in Australia and elsewhere. High levels of resistance to triazoles in the field are caused by two separate point mutations in the Cyp51 gene, Y136F and S509T. Early detection of these mutations arising in pathogen field populations is important as this allows time for changes in fungicide practices to be adopted, thus mitigating potential yield losses due to fungicide failure and preventing the resistance from becoming dominant. A digital PCR (dPCR) assay has been developed for the detection and quantification of the Y136F and S509T mutations in the Bgh Cyp51 gene. Mutation levels were quantifiable as low as 0.2% in genomic DNA extractions and field samples. This assay was applied to the high throughput screening of Bgh field and bait trial samples from barley growing regions across Australia in the 2015 and 2016 growing seasons and identified the S509T mutation for the first time in the Eastern states of Australia. This is the first report on the use of digital PCR technology for fungicide resistance detection and monitoring in agriculture. Here we describe the potential application of dPCR for the screening of fungicide resistance mutations in a network of specifically designed bait trials. The combination of these two tools constitute an early warning system for the development of fungicide resistance that allows for the timely adjustment of management practices.
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Affiliation(s)
- Katherine G Zulak
- The Fungicide Resistance Group, Centre for Crop and Disease Management, School of Molecular and Life Sciences, Curtin University, Bentley, WA, Australia
| | - Belinda A Cox
- The Fungicide Resistance Group, Centre for Crop and Disease Management, School of Molecular and Life Sciences, Curtin University, Bentley, WA, Australia
| | - Madeline A Tucker
- The Fungicide Resistance Group, Centre for Crop and Disease Management, School of Molecular and Life Sciences, Curtin University, Bentley, WA, Australia
| | - Richard P Oliver
- Centre for Crop and Disease Management, School of Molecular and Life Sciences, Curtin University, Bentley, WA, Australia
| | - Francisco J Lopez-Ruiz
- The Fungicide Resistance Group, Centre for Crop and Disease Management, School of Molecular and Life Sciences, Curtin University, Bentley, WA, Australia
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26
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Demeke T, Dobnik D. Critical assessment of digital PCR for the detection and quantification of genetically modified organisms. Anal Bioanal Chem 2018; 410:4039-4050. [PMID: 29574561 PMCID: PMC6010488 DOI: 10.1007/s00216-018-1010-1] [Citation(s) in RCA: 82] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2018] [Revised: 03/06/2018] [Accepted: 03/08/2018] [Indexed: 12/21/2022]
Abstract
The number of genetically modified organisms (GMOs) on the market is steadily increasing. Because of regulation of cultivation and trade of GMOs in several countries, there is pressure for their accurate detection and quantification. Today, DNA-based approaches are more popular for this purpose than protein-based methods, and real-time quantitative PCR (qPCR) is still the gold standard in GMO analytics. However, digital PCR (dPCR) offers several advantages over qPCR, making this new technique appealing also for GMO analysis. This critical review focuses on the use of dPCR for the purpose of GMO quantification and addresses parameters which are important for achieving accurate and reliable results, such as the quality and purity of DNA and reaction optimization. Three critical factors are explored and discussed in more depth: correct classification of partitions as positive, correctly determined partition volume, and dilution factor. This review could serve as a guide for all laboratories implementing dPCR. Most of the parameters discussed are applicable to fields other than purely GMO testing. Graphical abstract There are generally three different options for absolute quantification of genetically modified organisms (GMOs) using digital PCR: droplet- or chamber-based and droplets in chambers. All have in common the distribution of reaction mixture into several partitions, which are all subjected to PCR and scored at the end-point as positive or negative. Based on these results GMO content can be calculated.
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Affiliation(s)
- Tigst Demeke
- Canadian Grain Commission, Grain Research Laboratory, 1404-303 Main Street, Winnipeg, MB, R3C3G8, Canada
| | - David Dobnik
- Department of Biotechnology and Systems Biology, National Institute of Biology, Večna pot 111, 1000, Ljubljana, Slovenia.
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27
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Colorimetric detection of genetically modified organisms based on exonuclease III-assisted target recycling and hemin/G-quadruplex DNAzyme amplification. Mikrochim Acta 2017; 185:75. [PMID: 29594619 DOI: 10.1007/s00604-017-2618-0] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2017] [Accepted: 12/15/2017] [Indexed: 01/16/2023]
Abstract
An isothermal colorimetric method is described for amplified detection of the CaMV 35S promoter sequence in genetically modified organism (GMO). It is based on (a) target DNA-triggered unlabeled molecular beacon (UMB) termini binding, and (b) exonuclease III (Exo III)-assisted target recycling, and (c) hemin/G-quadruplex (DNAzyme) based signal amplification. The specific binding of target to the G-quadruplex sequence-locked UMB triggers the digestion of Exo III. This, in turn, releases an active G-quadruplex segment and target DNA for successive hybridization and cleavage. The Exo III impellent recycling of targets produces numerous G-quadruplex sequences. These further associate with hemin to form DNAzymes and hence will catalyze H2O2-mediated oxidation of the chromogenic enzyme substrate ABTS2- causing the formation of a green colored product. This finding enables a sensitive colorimetric determination of GMO DNA (at an analytical wavelength of 420 nm) at concentrations as low as 0.23 nM. By taking advantage of isothermal incubation, this method does not require sophisticated equipment or complicated syntheses. Analyses can be performed within 90 min. The method also discriminates single base mismatches. In our perception, it has a wide scope in that it may be applied to the detection of many other GMOs. Graphical abstract An isothermal and sensitive colorimetric method is described for amplified detection of CaMV 35S promoter sequence in genetically modified organism (GMO). It is based on target DNA-triggered molecular beacon (UMB) termini-binding and exonuclease III assisted target recycling, and on hemin/G-quadruplex (DNAzyme) signal amplification.
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28
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Grelewska-Nowotko K, Żurawska-Zajfert M, Żmijewska E, Sowa S. Optimization and Verification of Droplet Digital PCR Even-Specific Methods for the Quantification of GM Maize DAS1507 and NK603. Appl Biochem Biotechnol 2017; 185:207-220. [PMID: 29110175 DOI: 10.1007/s12010-017-2634-x] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2017] [Accepted: 10/16/2017] [Indexed: 12/21/2022]
Abstract
In recent years, digital polymerase chain reaction (dPCR), a new molecular biology technique, has been gaining in popularity. Among many other applications, this technique can also be used for the detection and quantification of genetically modified organisms (GMOs) in food and feed. It might replace the currently widely used real-time PCR method (qPCR), by overcoming problems related to the PCR inhibition and the requirement of certified reference materials to be used as a calibrant. In theory, validated qPCR methods can be easily transferred to the dPCR platform. However, optimization of the PCR conditions might be necessary. In this study, we report the transfer of two validated qPCR methods for quantification of maize DAS1507 and NK603 events to the droplet dPCR (ddPCR) platform. After some optimization, both methods have been verified according to the guidance of the European Network of GMO Laboratories (ENGL) on analytical method verification (ENGL working group on "Method Verification." (2011) Verification of Analytical Methods for GMO Testing When Implementing Interlaboratory Validated Methods). Digital PCR methods performed equally or better than the qPCR methods. Optimized ddPCR methods confirm their suitability for GMO determination in food and feed.
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Affiliation(s)
- Katarzyna Grelewska-Nowotko
- GMO Controlling Laboratory, Department of Plant Biotechnology and Cytogenetics, Plant Breeding and Acclimatization Institute - National Research Institute, Radzikow, 05-870, Blonie, Poland.
| | - Magdalena Żurawska-Zajfert
- GMO Controlling Laboratory, Department of Plant Biotechnology and Cytogenetics, Plant Breeding and Acclimatization Institute - National Research Institute, Radzikow, 05-870, Blonie, Poland
| | - Ewelina Żmijewska
- GMO Controlling Laboratory, Department of Plant Biotechnology and Cytogenetics, Plant Breeding and Acclimatization Institute - National Research Institute, Radzikow, 05-870, Blonie, Poland
| | - Sławomir Sowa
- GMO Controlling Laboratory, Department of Plant Biotechnology and Cytogenetics, Plant Breeding and Acclimatization Institute - National Research Institute, Radzikow, 05-870, Blonie, Poland
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Identification of a chicken ( Gallus gallus ) endogenous reference gene ( Actb ) and its application in meat adulteration. Food Chem 2017; 234:472-478. [DOI: 10.1016/j.foodchem.2017.05.038] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2016] [Revised: 05/02/2017] [Accepted: 05/06/2017] [Indexed: 11/20/2022]
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30
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A nanobiosensor composed of Exfoliated Graphene Oxide and Gold Nano-Urchins, for detection of GMO products. Biosens Bioelectron 2017; 95:72-80. [DOI: 10.1016/j.bios.2017.02.054] [Citation(s) in RCA: 38] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2016] [Revised: 02/25/2017] [Accepted: 02/28/2017] [Indexed: 01/14/2023]
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31
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Wang C, Cheng N, Zhu L, Xu Y, Huang K, Zhu P, Zhu S, Fu W, Xu W. Colorimetric biosensor based on a DNAzyme primer and its application in logic gate operations for DNA screening. Anal Chim Acta 2017; 987:111-117. [DOI: 10.1016/j.aca.2017.08.001] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2016] [Revised: 07/07/2017] [Accepted: 08/03/2017] [Indexed: 10/19/2022]
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32
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Kamle M, Kumar P, Patra JK, Bajpai VK. Current perspectives on genetically modified crops and detection methods. 3 Biotech 2017; 7:219. [PMID: 28674844 PMCID: PMC5495694 DOI: 10.1007/s13205-017-0809-3] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2017] [Accepted: 05/02/2017] [Indexed: 01/31/2023] Open
Abstract
Genetically modified (GM) crops are the fastest adopted commodities in the agribiotech industry. This market penetration should provide a sustainable basis for ensuring food supply for growing global populations. The successful completion of two decades of commercial GM crop production (1996-2015) is underscored by the increasing rate of adoption of genetic engineering technology by farmers worldwide. With the advent of introduction of multiple traits stacked together in GM crops for combined herbicide tolerance, insect resistance, drought tolerance or disease resistance, the requirement of reliable and sensitive detection methods for tracing and labeling genetically modified organisms in the food/feed chain has become increasingly important. In addition, several countries have established threshold levels for GM content which trigger legally binding labeling schemes. The labeling of GM crops is mandatory in many countries (such as China, EU, Russia, Australia, New Zealand, Brazil, Israel, Saudi Arabia, Korea, Chile, Philippines, Indonesia, Thailand), whereas in Canada, Hong Kong, USA, South Africa, and Argentina voluntary labeling schemes operate. The rapid adoption of GM crops has increased controversies, and mitigating these issues pertaining to the implementation of effective regulatory measures for the detection of GM crops is essential. DNA-based detection methods have been successfully employed, while the whole genome sequencing using next-generation sequencing (NGS) technologies provides an advanced means for detecting genetically modified organisms and foods/feeds in GM crops. This review article describes the current status of GM crop commercialization and discusses the benefits and shortcomings of common and advanced detection systems for GMs in foods and animal feeds.
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Affiliation(s)
- Madhu Kamle
- Department of Forestry, North Eastern Regional Institute of Science and Technology (Deemed University), Nirjuli, Arunachal Pradesh, 791109, India
| | - Pradeep Kumar
- Department of Forestry, North Eastern Regional Institute of Science and Technology (Deemed University), Nirjuli, Arunachal Pradesh, 791109, India.
| | - Jayanta Kumar Patra
- Research Institute of Biotechnology and Medical Converged Science, Dongguk University-Seoul, Ilsandong-gu, Gyeonggido, 10326, Korea
| | - Vivek K Bajpai
- Department of Applied Microbiology and Biotechnology, Microbiome Laboratory, Yeungnam University, Gyeongsan, Gyeongbuk, 38541, Korea.
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33
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Shang Y, Xu W, Wang Y, Xu Y, Huang K. Novel multiplex qualitative detection using universal primer-multiplex-PCR combined with pyrosequencing. Food Chem 2017; 237:773-778. [PMID: 28764066 DOI: 10.1016/j.foodchem.2017.05.068] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2015] [Revised: 05/04/2017] [Accepted: 05/14/2017] [Indexed: 11/19/2022]
Abstract
This study described a novel multiplex qualitative detection method using pyrosequencing. Based on the principle of the universal primer-multiplex-PCR, only one sequencing primer was employed to realize the detection of the multiple targets. Samples containing three genetically modified (GM) crops in different proportions were used to validate the method. The dNTP dispensing order was designed based on the product sequences. Only 12 rounds (ATCTGATCGACT) of dNTPs addition and, often, as few as three rounds (CAT) under ideal conditions, were required to detect the GM events qualitatively, and sensitivity was as low as 1% of a mixture. However, when considering a mixture, calculating signal values allowed the proportion of each GM to be estimated. Based on these results, we concluded that our novel method not only realized detection but also allowed semi-quantitative detection of individual events.
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Affiliation(s)
- Ying Shang
- Yunnan Institute of Food Safety, Kunming University of Science and Technology, Kunming, Yunnan 650500, China; Laboratory of Food Safety, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China
| | - Wentao Xu
- Laboratory of Food Safety, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China; The Supervision, Inspection and Testing Center of Genetically Modified Organisms, Ministry of Agriculture, Beijing 100083, China
| | - Yong Wang
- Tianjing Institute of Agricultural Quality Standard and Testing Technology, Tianjing Academy of Agricultural Sciences, Tianjin, 300192, China
| | - Yuancong Xu
- Laboratory of Food Safety, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China
| | - Kunlun Huang
- Laboratory of Food Safety, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China; The Supervision, Inspection and Testing Center of Genetically Modified Organisms, Ministry of Agriculture, Beijing 100083, China.
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34
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Gao H, Wen L, Wu Y, Fu Z, Wu G. An ultrasensitive label-free electrochemiluminescent immunosensor for measuring Cry1Ab level and genetically modified crops content. Biosens Bioelectron 2017; 97:122-127. [PMID: 28582707 DOI: 10.1016/j.bios.2017.04.033] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2017] [Revised: 04/22/2017] [Accepted: 04/23/2017] [Indexed: 01/03/2023]
Abstract
The development of genetically modified (GM) insect-resistant crops has aroused great public concern about the risks on the eco-environment resulting from a release of toxic Cry proteins (such as Cry1Ab) to the soil. Therefore, it is of crucial importance to measure the Cry proteins level and the GM crops content. Here, we have tested for the first time a method that uses novel carbon nanospheres (CNPs) label-free electrochemiluminescent (ECL) immunosensor for the ultrasensitive quantification of Cry1Ab and GM crops. In this work, novel CNPs were prepared from printer toner with a very facile approach, and linked with anti-Cry1Ab antibodies to modify a golden working electrode. The immunoreaction between Cry1Ab and its antibody formed an immunocomplex on the bioreceptor region of the sensor, which inhibited electron transfer between the electrode surface and the ECL substance, leading to a decrease of ECL response. Under the optimal conditions, the fabricated label-free ECL immunosensor determined Cry1Ab down to 3.0pgmL-1 within a linear range of 0.010-1.0ngmL-1, showing significant improvement of sensitivity than that of most previous reports. Meanwhile, the proposed method was successfully applied for GM rice BT63 and GM maize MON810 detections down to 0.010% and 0.020%, respectively. Due to its outstanding advantages such as high sensitivity, ideal selectivity, simple fabrication, rapid detection, and low cost, the developed method can be considered as a powerful and pioneering tool for GM crops detection. Its use can also be extended to other toxin protein sensing in foods.
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Affiliation(s)
- Hongfei Gao
- Key Laboratory of Oil Crop Biology of the Ministry of Agriculture, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062, China; Supervision and Test Center (Wuhan) for Environmental Safety of Genetically Modified Plants, Ministry of Agriculture, Wuhan 430062, China
| | - Luke Wen
- Key Laboratory of Oil Crop Biology of the Ministry of Agriculture, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062, China; Supervision and Test Center (Wuhan) for Environmental Safety of Genetically Modified Plants, Ministry of Agriculture, Wuhan 430062, China
| | - Yuhua Wu
- Key Laboratory of Oil Crop Biology of the Ministry of Agriculture, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062, China; Supervision and Test Center (Wuhan) for Environmental Safety of Genetically Modified Plants, Ministry of Agriculture, Wuhan 430062, China
| | - Zhifeng Fu
- Key Laboratory of Luminescence and Real-Time Analytical Chemistry of the Ministry of Education, College of Pharmaceutical Sciences, Southwest University, Chongqing 400716, China.
| | - Gang Wu
- Key Laboratory of Oil Crop Biology of the Ministry of Agriculture, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062, China; Supervision and Test Center (Wuhan) for Environmental Safety of Genetically Modified Plants, Ministry of Agriculture, Wuhan 430062, China.
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35
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Ultra-sensitive and absolute quantitative detection of Cu2+ based on DNAzyme and digital PCR in water and drink samples. Food Chem 2017; 221:1770-1777. [DOI: 10.1016/j.foodchem.2016.10.106] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2016] [Revised: 10/18/2016] [Accepted: 10/22/2016] [Indexed: 11/18/2022]
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36
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Fu W, Wei S, Wang C, Du Z, Zhu P, Wu X, Wu G, Zhu S. A temperature-tolerant multiplex elements and genes screening system for genetically modified organisms based on dual priming oligonucleotide primers and capillary electrophoresis. Food Chem 2017; 229:396-402. [PMID: 28372191 DOI: 10.1016/j.foodchem.2017.02.088] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2016] [Revised: 11/17/2016] [Accepted: 02/17/2017] [Indexed: 01/22/2023]
Abstract
High throughput screening systems are the preferred solution to meet the urgent requirement of increasing number of genetically modified organisms (GMOs). In this study, we have successfully developed a multiplex GMO element screening system with dual priming oligonucleotide (DPO) primers. This system can detect the cauliflower mosaic virus 35S (CaMV 35S), terminator of nopaline synthase gene (NOS), figwort mosaic virus 35S (FMV 35S) promoter, neomycin phosphotransferaseII (NPTII), Bt Cry 1Ab, phosphinothricin acetyltransferase genes (bar) and Streptomyces viridochromogenes (pat) simultaneously, which covers more than 90% of all authorized GMO species worldwide. This system exhibits a high tolerance to annealing temperatures, high specificity and a limit of detection equal to conventional PCR. A total of 214 samples from markets, national entry-exit agencies, the Institute for Reference Materials and Measurement (IRMM) and the American Oil Chemists' Society (AOCS) were also tested for applicability. This screening system is therefore suitable for GMO screening.
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Affiliation(s)
- Wei Fu
- Institute of Plant Quarantine, Chinese Academy of Inspection and Quarantine, Beijing 100176, China
| | - Shuang Wei
- Shantou Entry-exit Inspection and Quarantine Bureau, Shantou 515041, China
| | - Chenguang Wang
- Institute of Plant Quarantine, Chinese Academy of Inspection and Quarantine, Beijing 100176, China; College of Plant Protection, China Agricultural University, Beijing 100193, China
| | - Zhixin Du
- Guangxi Entry-exit Inspection and Quarantine Bureau, Nanning 530028, China
| | - Pengyu Zhu
- Institute of Plant Quarantine, Chinese Academy of Inspection and Quarantine, Beijing 100176, China
| | - Xiyang Wu
- Department of Food Science and Engineering, College of Science and Technology, Jinan University, Guangzhou 510632, China
| | - Gang Wu
- Key Laboratory of Oil Crop Biology of the Ministry of Agriculture, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062, China.
| | - Shuifang Zhu
- Institute of Plant Quarantine, Chinese Academy of Inspection and Quarantine, Beijing 100176, China.
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37
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Witte AK, Mester P, Fister S, Witte M, Schoder D, Rossmanith P. A Systematic Investigation of Parameters Influencing Droplet Rain in the Listeria monocytogenes prfA Assay - Reduction of Ambiguous Results in ddPCR. PLoS One 2016; 11:e0168179. [PMID: 27992475 PMCID: PMC5167268 DOI: 10.1371/journal.pone.0168179] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2016] [Accepted: 11/25/2016] [Indexed: 11/18/2022] Open
Abstract
The droplet digital polymerase chain reaction (ddPCR) determines DNA amounts based upon the pattern of positive and negative droplets, according to Poisson distribution, without the use of external standards. However, division into positive and negative droplets is often not clear because a part of the droplets has intermediate fluorescence values, appearing as “rain” in the plot. Despite the droplet rain, absolute quantification with ddPCR is possible, as shown previously for the prfA assay in quantifying Listeria monocytogenes. Nevertheless, reducing the rain, and thus ambiguous results, promotes the accuracy and credibility of ddPCR. In this study, we extensively investigated chemical and physical parameters for optimizing the prfA assay for ddPCR. While differences in the concentration of all chemicals and the dye, quencher and supplier of the probe did not alter the droplet pattern, changes in the PCR cycling program, such as prolonged times and increased cycle numbers, improved the assay.
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Affiliation(s)
- Anna Kristina Witte
- Christian Doppler Laboratory for Monitoring of Microbial Contaminants, Institute of Milk Hygiene, Department for Farm Animals and Veterinary Public Health, University of Veterinary Medicine, Vienna, Austria
| | - Patrick Mester
- Christian Doppler Laboratory for Monitoring of Microbial Contaminants, Institute of Milk Hygiene, Department for Farm Animals and Veterinary Public Health, University of Veterinary Medicine, Vienna, Austria
| | - Susanne Fister
- Christian Doppler Laboratory for Monitoring of Microbial Contaminants, Institute of Milk Hygiene, Department for Farm Animals and Veterinary Public Health, University of Veterinary Medicine, Vienna, Austria
| | - Matthias Witte
- Department of Psychology, University of Graz, Graz, Austria
| | - Dagmar Schoder
- Christian Doppler Laboratory for Monitoring of Microbial Contaminants, Institute of Milk Hygiene, Department for Farm Animals and Veterinary Public Health, University of Veterinary Medicine, Vienna, Austria
- Institute of Milk Hygiene, Department for Farm Animals and Veterinary Public Health, University of Veterinary Medicine, Vienna, Austria
| | - Peter Rossmanith
- Christian Doppler Laboratory for Monitoring of Microbial Contaminants, Institute of Milk Hygiene, Department for Farm Animals and Veterinary Public Health, University of Veterinary Medicine, Vienna, Austria
- Institute of Milk Hygiene, Department for Farm Animals and Veterinary Public Health, University of Veterinary Medicine, Vienna, Austria
- * E-mail:
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38
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Cheng N, Zhu P, Xu Y, Huang K, Luo Y, Yang Z, Xu W. High-sensitivity assay for Hg (II) and Ag (I) ion detection: A new class of droplet digital PCR logic gates for an intelligent DNA calculator. Biosens Bioelectron 2016; 84:1-6. [DOI: 10.1016/j.bios.2016.04.084] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2016] [Revised: 04/13/2016] [Accepted: 04/26/2016] [Indexed: 12/21/2022]
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39
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Demeke T, Holigroski M, Eng M, Xing J. Absolute quantification of genetically engineered traits with droplet digital PCR: Effect of DNA treatments and spiking with non-target DNA. Food Control 2016. [DOI: 10.1016/j.foodcont.2016.03.007] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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40
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Evaluation of the performance of quantitative detection of the Listeria monocytogenes prfA locus with droplet digital PCR. Anal Bioanal Chem 2016; 408:7583-7593. [PMID: 27558101 PMCID: PMC5061835 DOI: 10.1007/s00216-016-9861-9] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2016] [Revised: 07/03/2016] [Accepted: 07/11/2016] [Indexed: 01/23/2023]
Abstract
Fast and reliable pathogen detection is an important issue for human health. Since conventional microbiological methods are rather slow, there is growing interest in detection and quantification using molecular methods. The droplet digital polymerase chain reaction (ddPCR) is a relatively new PCR method for absolute and accurate quantification without external standards. Using the Listeria monocytogenes specific prfA assay, we focused on the questions of whether the assay was directly transferable to ddPCR and whether ddPCR was suitable for samples derived from heterogeneous matrices, such as foodstuffs that often included inhibitors and a non-target bacterial background flora. Although the prfA assay showed suboptimal cluster formation, use of ddPCR for quantification of L. monocytogenes from pure bacterial cultures, artificially contaminated cheese, and naturally contaminated foodstuff was satisfactory over a relatively broad dynamic range. Moreover, results demonstrated the outstanding detection limit of one copy. However, while poorer DNA quality, such as resulting from longer storage, can impair ddPCR, internal amplification control (IAC) of prfA by ddPCR, that is integrated in the genome of L. monocytogenes ΔprfA, showed even slightly better quantification over a broader dynamic range. Evaluating the absolute quantification potential of ddPCR targeting Listeria monocytogenes prfA ![]()
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41
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DING X, MU Y. Research and Application Progress of Digital Nucleic Acid Amplification Detection Techniques. CHINESE JOURNAL OF ANALYTICAL CHEMISTRY 2016. [DOI: 10.1016/s1872-2040(16)60918-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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42
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Zhu P, Fu W, Wang C, Du Z, Huang K, Zhu S, Xu W. Development and application of absolute quantitative detection by duplex chamber-based digital PCR of genetically modified maize events without pretreatment steps. Anal Chim Acta 2016; 916:60-6. [DOI: 10.1016/j.aca.2016.02.020] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2016] [Accepted: 02/17/2016] [Indexed: 12/21/2022]
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43
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Zhu P, Wang C, Huang K, Luo Y, Xu W. A Novel Pretreatment-Free Duplex Chamber Digital PCR Detection System for the Absolute Quantitation of GMO Samples. Int J Mol Sci 2016; 17:402. [PMID: 26999129 PMCID: PMC4813257 DOI: 10.3390/ijms17030402] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2016] [Revised: 03/13/2016] [Accepted: 03/14/2016] [Indexed: 12/03/2022] Open
Abstract
Digital polymerase chain reaction (PCR) has developed rapidly since it was first reported in the 1990s. However, pretreatments are often required during preparation for digital PCR, which can increase operation error. The single-plex amplification of both the target and reference genes may cause uncertainties due to the different reaction volumes and the matrix effect. In the current study, a quantitative detection system based on the pretreatment-free duplex chamber digital PCR was developed. The dynamic range, limit of quantitation (LOQ), sensitivity and specificity were evaluated taking the GA21 event as the experimental object. Moreover, to determine the factors that may influence the stability of the duplex system, we evaluated whether the pretreatments, the primary and secondary structures of the probes and the SNP effect influence the detection. The results showed that the LOQ was 0.5% and the sensitivity was 0.1%. We also found that genome digestion and single nucleotide polymorphism (SNP) sites affect the detection results, whereas the unspecific hybridization within different probes had little side effect. This indicated that the detection system was suited for both chamber-based and droplet-based digital PCR. In conclusion, we have provided a simple and flexible way of achieving absolute quantitation for genetically modified organism (GMO) genome samples using commercial digital PCR detection systems.
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Affiliation(s)
- Pengyu Zhu
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science & Nutritional Engineering, China Agricultural University, Beijing 100083, China.
| | - Chenguang Wang
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science & Nutritional Engineering, China Agricultural University, Beijing 100083, China.
| | - Kunlun Huang
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science & Nutritional Engineering, China Agricultural University, Beijing 100083, China.
- Beijing Laboratory for Food Quality and Safety, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China.
| | - Yunbo Luo
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science & Nutritional Engineering, China Agricultural University, Beijing 100083, China.
- Beijing Laboratory for Food Quality and Safety, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China.
| | - Wentao Xu
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science & Nutritional Engineering, China Agricultural University, Beijing 100083, China.
- Beijing Laboratory for Food Quality and Safety, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China.
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44
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Wan J, Song L, Wu Y, Brzoska P, Keys D, Chen C, Valliyodan B, Shannon JG, Nguyen HT. Application of Digital PCR in the Analysis of Transgenic Soybean Plants. ACTA ACUST UNITED AC 2016. [DOI: 10.4236/abb.2016.710039] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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