Literature DB >> 24553665

Detecting authorized and unauthorized genetically modified organisms containing vip3A by real-time PCR and next-generation sequencing.

Chanjuan Liang1, Jeroen P van Dijk, Ingrid M J Scholtens, Martijn Staats, Theo W Prins, Marleen M Voorhuijzen, Andrea M da Silva, Ana Carolina Maisonnave Arisi, Johan T den Dunnen, Esther J Kok.   

Abstract

The growing number of biotech crops with novel genetic elements increasingly complicates the detection of genetically modified organisms (GMOs) in food and feed samples using conventional screening methods. Unauthorized GMOs (UGMOs) in food and feed are currently identified through combining GMO element screening with sequencing the DNA flanking these elements. In this study, a specific and sensitive qPCR assay was developed for vip3A element detection based on the vip3Aa20 coding sequences of the recently marketed MIR162 maize and COT102 cotton. Furthermore, SiteFinding-PCR in combination with Sanger, Illumina or Pacific BioSciences (PacBio) sequencing was performed targeting the flanking DNA of the vip3Aa20 element in MIR162. De novo assembly and Basic Local Alignment Search Tool searches were used to mimic UGMO identification. PacBio data resulted in relatively long contigs in the upstream (1,326 nucleotides (nt); 95 % identity) and downstream (1,135 nt; 92 % identity) regions, whereas Illumina data resulted in two smaller contigs of 858 and 1,038 nt with higher sequence identity (>99 % identity). Both approaches outperformed Sanger sequencing, underlining the potential for next-generation sequencing in UGMO identification.

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Year:  2014        PMID: 24553665     DOI: 10.1007/s00216-014-7667-1

Source DB:  PubMed          Journal:  Anal Bioanal Chem        ISSN: 1618-2642            Impact factor:   4.142


  21 in total

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2.  Response of plasma membrane H+-ATPase in rice (Oryza sativa) seedlings to simulated acid rain.

Authors:  Chanjuan Liang; Yuqing Ge; Lei Su; Jinjin Bu
Journal:  Environ Sci Pollut Res Int       Date:  2014-08-05       Impact factor: 4.223

Review 3.  Current perspectives on genetically modified crops and detection methods.

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Journal:  3 Biotech       Date:  2017-07-03       Impact factor: 2.406

4.  LIFE-Seq: a universal Large Integrated DNA Fragment Enrichment Sequencing strategy for deciphering the transgene integration of genetically modified organisms.

Authors:  Hanwen Zhang; Rong Li; Yongkun Guo; Yuchen Zhang; Dabing Zhang; Litao Yang
Journal:  Plant Biotechnol J       Date:  2022-02-01       Impact factor: 13.263

5.  Integrated DNA walking system to characterize a broad spectrum of GMOs in food/feed matrices.

Authors:  Marie-Alice Fraiture; Philippe Herman; Loic Lefèvre; Isabel Taverniers; Marc De Loose; Dieter Deforce; Nancy H Roosens
Journal:  BMC Biotechnol       Date:  2015-08-14       Impact factor: 2.563

Review 6.  Trends and advances in food analysis by real-time polymerase chain reaction.

Authors:  Nur Thaqifah Salihah; Mohammad Mosharraf Hossain; Hamadah Lubis; Minhaz Uddin Ahmed
Journal:  J Food Sci Technol       Date:  2016-05-05       Impact factor: 2.701

Review 7.  Molecular Approaches for High Throughput Detection and Quantification of Genetically Modified Crops: A Review.

Authors:  Ibrahim B Salisu; Ahmad A Shahid; Amina Yaqoob; Qurban Ali; Kamran S Bajwa; Abdul Q Rao; Tayyab Husnain
Journal:  Front Plant Sci       Date:  2017-10-16       Impact factor: 5.753

8.  A bioinformatics approach for identifying transgene insertion sites using whole genome sequencing data.

Authors:  Doori Park; Su-Hyun Park; Yong Wook Ban; Youn Shic Kim; Kyoung-Cheul Park; Nam-Soo Kim; Ju-Kon Kim; Ik-Young Choi
Journal:  BMC Biotechnol       Date:  2017-08-15       Impact factor: 2.563

Review 9.  Current and new approaches in GMO detection: challenges and solutions.

Authors:  Marie-Alice Fraiture; Philippe Herman; Isabel Taverniers; Marc De Loose; Dieter Deforce; Nancy H Roosens
Journal:  Biomed Res Int       Date:  2015-10-15       Impact factor: 3.411

10.  Identification of Genomic Insertion and Flanking Sequence of G2-EPSPS and GAT Transgenes in Soybean Using Whole Genome Sequencing Method.

Authors:  Bingfu Guo; Yong Guo; Huilong Hong; Li-Juan Qiu
Journal:  Front Plant Sci       Date:  2016-07-12       Impact factor: 5.753

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