Literature DB >> 25182968

GMO quantification: valuable experience and insights for the future.

Mojca Milavec1, David Dobnik, Litao Yang, Dabing Zhang, Kristina Gruden, Jana Zel.   

Abstract

Cultivation and marketing of genetically modified organisms (GMOs) have been unevenly adopted worldwide. To facilitate international trade and to provide information to consumers, labelling requirements have been set up in many countries. Quantitative real-time polymerase chain reaction (qPCR) is currently the method of choice for detection, identification and quantification of GMOs. This has been critically assessed and the requirements for the method performance have been set. Nevertheless, there are challenges that should still be highlighted, such as measuring the quantity and quality of DNA, and determining the qPCR efficiency, possible sequence mismatches, characteristics of taxon-specific genes and appropriate units of measurement, as these remain potential sources of measurement uncertainty. To overcome these problems and to cope with the continuous increase in the number and variety of GMOs, new approaches are needed. Statistical strategies of quantification have already been proposed and expanded with the development of digital PCR. The first attempts have been made to use new generation sequencing also for quantitative purposes, although accurate quantification of the contents of GMOs using this technology is still a challenge for the future, and especially for mixed samples. New approaches are needed also for the quantification of stacks, and for potential quantification of organisms produced by new plant breeding techniques.

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Year:  2014        PMID: 25182968     DOI: 10.1007/s00216-014-8077-0

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


  10 in total

1.  Development and assessment of a duplex droplet digital PCR method for quantification of GM rice Kemingdao.

Authors:  Jun Li; Shanshan Zhai; Hongfei Gao; Fang Xiao; Yunjing Li; Gang Wu; Yuhua Wu
Journal:  Anal Bioanal Chem       Date:  2021-05-22       Impact factor: 4.142

2.  Event-specific detection of transgenic potato AV43-6-G7 using real-time and digital PCR methods.

Authors:  Hongwei Gao; Xiaofan Yu; Tingting Deng; Min Sun; Xizhi Xiao; Xin Huang; Ying Chen; Ronggui Li
Journal:  BMC Biotechnol       Date:  2016-10-27       Impact factor: 2.563

3.  Multiplex quantification of four DNA targets in one reaction with Bio-Rad droplet digital PCR system for GMO detection.

Authors:  David Dobnik; Dejan Štebih; Andrej Blejec; Dany Morisset; Jana Žel
Journal:  Sci Rep       Date:  2016-10-14       Impact factor: 4.379

Review 4.  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

Review 5.  Critical assessment of digital PCR for the detection and quantification of genetically modified organisms.

Authors:  Tigst Demeke; David Dobnik
Journal:  Anal Bioanal Chem       Date:  2018-03-24       Impact factor: 4.142

6.  New multiplex PCR methods for rapid screening of genetically modified organisms in foods.

Authors:  Nelly Datukishvili; Tamara Kutateladze; Inga Gabriadze; Kakha Bitskinashvili; Boris Vishnepolsky
Journal:  Front Microbiol       Date:  2015-07-24       Impact factor: 5.640

7.  Optimization of digital droplet polymerase chain reaction for quantification of genetically modified organisms.

Authors:  Lars Gerdes; Azuka Iwobi; Ulrich Busch; Sven Pecoraro
Journal:  Biomol Detect Quantif       Date:  2016-01-07

Review 8.  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

9.  Development, Optimization, and Evaluation of a Duplex Droplet Digital PCR Assay To Quantify the T-nos/hmg Copy Number Ratio in Genetically Modified Maize.

Authors:  Dalmira Félix-Urquídez; Melina Pérez-Urquiza; José-Benigno Valdez Torres; Josefina León-Félix; Raymundo García-Estrada; Abraham Acatzi-Silva
Journal:  Anal Chem       Date:  2015-12-09       Impact factor: 6.986

10.  Addition of a histone deacetylase inhibitor increases recombinant protein expression in Medicago truncatula cell cultures.

Authors:  Rita B Santos; Ana Sofia Pires; Rita Abranches
Journal:  Sci Rep       Date:  2017-12-01       Impact factor: 4.379

  10 in total

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