How Can We Better Detect Unauthorized GMOs in Food and Feed Chains?
Current GMO detection systems have limited abilities to detect unauthorized genetically modified organisms (GMOs). Here, we propose a new workflow, based on next-generation sequencing (NGS) technology, to overcome this problem. In providing information about DNA sequences, this high-throughput workf...
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| Veröffentlicht in: | Trends in biotechnology (Regular ed.) 2017-06, Vol.35 (6), p.508-517 |
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| creator | Fraiture, Marie-Alice Herman, Philippe De Loose, Marc Debode, Frédéric Roosens, Nancy H |
| description | Current GMO detection systems have limited abilities to detect unauthorized genetically modified organisms (GMOs). Here, we propose a new workflow, based on next-generation sequencing (NGS) technology, to overcome this problem. In providing information about DNA sequences, this high-throughput workflow can distinguish authorized and unauthorized GMOs by strengthening the tools commonly used by enforcement laboratories with the help of NGS technology. In addition, thanks to its massive sequencing capacity, this workflow could be used to monitor GMOs present in the food and feed chain. In view of its potential implementation by enforcement laboratories, we discuss this innovative approach, its current limitations, and its sustainability of use over time. |
| doi_str_mv | 10.1016/j.tibtech.2017.03.002 |
| format | Article |
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Here, we propose a new workflow, based on next-generation sequencing (NGS) technology, to overcome this problem. In providing information about DNA sequences, this high-throughput workflow can distinguish authorized and unauthorized GMOs by strengthening the tools commonly used by enforcement laboratories with the help of NGS technology. In addition, thanks to its massive sequencing capacity, this workflow could be used to monitor GMOs present in the food and feed chain. In view of its potential implementation by enforcement laboratories, we discuss this innovative approach, its current limitations, and its sustainability of use over time.</description><identifier>ISSN: 0167-7799</identifier><identifier>EISSN: 1879-3096</identifier><identifier>DOI: 10.1016/j.tibtech.2017.03.002</identifier><identifier>PMID: 28347568</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>Anatomy ; Animals ; Assembly ; Bioinformatics ; Biology ; Biotechnology ; Brassica ; Chains ; Consumers ; Corn ; Crops ; Deoxyribonucleic acid ; detection ; Discrimination ; DNA ; DNA microarrays ; DNA sequencing ; DNA walking ; Enforcement ; Environmental monitoring ; Food ; Food Analysis - methods ; Food chains ; Food plants ; Food processing ; Fragmentation ; Gene expression ; Gene mapping ; Genetically altered foods ; Genetically engineered organisms ; Genetically modified organisms ; Genetics ; Genomes ; Genomics ; High-Throughput Nucleotide Sequencing - methods ; Humans ; Insertion ; Internal Medicine ; Laboratories ; Legislation ; Markers ; Methods ; monitoring ; new workflow ; next-generation-sequencing ; Nucleic acids ; Nucleotide sequence ; Organisms, Genetically Modified - genetics ; Plant breeding ; Polymerase chain reaction ; qPCR ; Regulatory approval ; Research centers ; Ribonucleic acid ; Rice ; Risk assessment ; RNA ; Safety ; Site-directed mutagenesis ; Statistical analysis ; Sustainability ; T-DNA ; Technology utilization ; Transgenes ; Transgenic plants ; Trends ; unauthorized GMO ; Viruses</subject><ispartof>Trends in biotechnology (Regular ed.), 2017-06, Vol.35 (6), p.508-517</ispartof><rights>Elsevier Ltd</rights><rights>2017 Elsevier Ltd</rights><rights>Copyright © 2017 Elsevier Ltd. All rights reserved.</rights><rights>Copyright Elsevier Limited Jun 1, 2017</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c485t-c32f9faf954e3c7cf0aa67c2e4fd7dea77018ad2d9d21adc661ddbee9b0496633</citedby><cites>FETCH-LOGICAL-c485t-c32f9faf954e3c7cf0aa67c2e4fd7dea77018ad2d9d21adc661ddbee9b0496633</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0167779917300380$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65534</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28347568$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Fraiture, Marie-Alice</creatorcontrib><creatorcontrib>Herman, Philippe</creatorcontrib><creatorcontrib>De Loose, Marc</creatorcontrib><creatorcontrib>Debode, Frédéric</creatorcontrib><creatorcontrib>Roosens, Nancy H</creatorcontrib><title>How Can We Better Detect Unauthorized GMOs in Food and Feed Chains?</title><title>Trends in biotechnology (Regular ed.)</title><addtitle>Trends Biotechnol</addtitle><description>Current GMO detection systems have limited abilities to detect unauthorized genetically modified organisms (GMOs). Here, we propose a new workflow, based on next-generation sequencing (NGS) technology, to overcome this problem. In providing information about DNA sequences, this high-throughput workflow can distinguish authorized and unauthorized GMOs by strengthening the tools commonly used by enforcement laboratories with the help of NGS technology. In addition, thanks to its massive sequencing capacity, this workflow could be used to monitor GMOs present in the food and feed chain. In view of its potential implementation by enforcement laboratories, we discuss this innovative approach, its current limitations, and its sustainability of use over time.</description><subject>Anatomy</subject><subject>Animals</subject><subject>Assembly</subject><subject>Bioinformatics</subject><subject>Biology</subject><subject>Biotechnology</subject><subject>Brassica</subject><subject>Chains</subject><subject>Consumers</subject><subject>Corn</subject><subject>Crops</subject><subject>Deoxyribonucleic acid</subject><subject>detection</subject><subject>Discrimination</subject><subject>DNA</subject><subject>DNA microarrays</subject><subject>DNA sequencing</subject><subject>DNA walking</subject><subject>Enforcement</subject><subject>Environmental monitoring</subject><subject>Food</subject><subject>Food Analysis - methods</subject><subject>Food chains</subject><subject>Food plants</subject><subject>Food processing</subject><subject>Fragmentation</subject><subject>Gene expression</subject><subject>Gene mapping</subject><subject>Genetically altered foods</subject><subject>Genetically engineered organisms</subject><subject>Genetically modified organisms</subject><subject>Genetics</subject><subject>Genomes</subject><subject>Genomics</subject><subject>High-Throughput Nucleotide Sequencing - methods</subject><subject>Humans</subject><subject>Insertion</subject><subject>Internal Medicine</subject><subject>Laboratories</subject><subject>Legislation</subject><subject>Markers</subject><subject>Methods</subject><subject>monitoring</subject><subject>new workflow</subject><subject>next-generation-sequencing</subject><subject>Nucleic acids</subject><subject>Nucleotide sequence</subject><subject>Organisms, Genetically Modified - genetics</subject><subject>Plant breeding</subject><subject>Polymerase chain reaction</subject><subject>qPCR</subject><subject>Regulatory approval</subject><subject>Research centers</subject><subject>Ribonucleic acid</subject><subject>Rice</subject><subject>Risk assessment</subject><subject>RNA</subject><subject>Safety</subject><subject>Site-directed mutagenesis</subject><subject>Statistical analysis</subject><subject>Sustainability</subject><subject>T-DNA</subject><subject>Technology utilization</subject><subject>Transgenes</subject><subject>Transgenic plants</subject><subject>Trends</subject><subject>unauthorized 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| ispartof | Trends in biotechnology (Regular ed.), 2017-06, Vol.35 (6), p.508-517 |
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| source | MEDLINE; Elsevier ScienceDirect Journals |
| subjects | Anatomy Animals Assembly Bioinformatics Biology Biotechnology Brassica Chains Consumers Corn Crops Deoxyribonucleic acid detection Discrimination DNA DNA microarrays DNA sequencing DNA walking Enforcement Environmental monitoring Food Food Analysis - methods Food chains Food plants Food processing Fragmentation Gene expression Gene mapping Genetically altered foods Genetically engineered organisms Genetically modified organisms Genetics Genomes Genomics High-Throughput Nucleotide Sequencing - methods Humans Insertion Internal Medicine Laboratories Legislation Markers Methods monitoring new workflow next-generation-sequencing Nucleic acids Nucleotide sequence Organisms, Genetically Modified - genetics Plant breeding Polymerase chain reaction qPCR Regulatory approval Research centers Ribonucleic acid Rice Risk assessment RNA Safety Site-directed mutagenesis Statistical analysis Sustainability T-DNA Technology utilization Transgenes Transgenic plants Trends unauthorized GMO Viruses |
| title | How Can We Better Detect Unauthorized GMOs in Food and Feed Chains? |
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