Literature DB >> 16366682

Distortion of genetically modified organism quantification in processed foods: influence of particle size compositions and heat-induced DNA degradation.

Francisco Moreano1, Ulrich Busch, Karl-Heinz Engel.   

Abstract

Milling fractions from conventional and transgenic corn were prepared at laboratory scale and used to study the influence of sample composition and heat-induced DNA degradation on the relative quantification of genetically modified organisms (GMO) in food products. Particle size distributions of the obtained fractions (coarse grits, regular grits, meal, and flour) were characterized using a laser diffraction system. The application of two DNA isolation protocols revealed a strong correlation between the degree of comminution of the milling fractions and the DNA yield in the extracts. Mixtures of milling fractions from conventional and transgenic material (1%) were prepared and analyzed via real-time polymerase chain reaction. Accurate quantification of the adjusted GMO content was only possible in mixtures containing conventional and transgenic material in the form of analogous milling fractions, whereas mixtures of fractions exhibiting different particle size distributions delivered significantly over- and underestimated GMO contents depending on their compositions. The process of heat-induced nucleic acid degradation was followed by applying two established quantitative assays showing differences between the lengths of the recombinant and reference target sequences (A, deltal(A) = -25 bp; B, deltal(B) = +16 bp; values related to the amplicon length of the reference gene). Data obtained by the application of method A resulted in underestimated recoveries of GMO contents in the samples of heat-treated products, reflecting the favored degradation of the longer target sequence used for the detection of the transgene. In contrast, data yielded by the application of method B resulted in increasingly overestimated recoveries of GMO contents. The results show how commonly used food technological processes may lead to distortions in the results of quantitative GMO analyses.

Entities:  

Mesh:

Substances:

Year:  2005        PMID: 16366682     DOI: 10.1021/jf051894f

Source DB:  PubMed          Journal:  J Agric Food Chem        ISSN: 0021-8561            Impact factor:   5.279


  3 in total

1.  Testing the interaction between analytical modules: an example with Roundup Ready soybean line GTS 40-3-2.

Authors:  Gianni Bellocchi; Marzia De Giacomo; Nicoletta Foti; Marco Mazzara; Eleonora Palmaccio; Cristian Savini; Chiara Di Domenicantonio; Roberta Onori; Guy Van den Eede
Journal:  BMC Biotechnol       Date:  2010-08-05       Impact factor: 2.563

2.  Impact of genetic structures on haploid genome-based quantification of genetically modified DNA: theoretical considerations, experimental data in MON 810 maize kernels (Zea mays L.) and some practical applications.

Authors:  David Zhang; Aurélie Corlet; Stephane Fouilloux
Journal:  Transgenic Res       Date:  2007-07-19       Impact factor: 2.788

3.  Establishment of quantitative analysis method for genetically modified maize using a reference plasmid and novel primers.

Authors:  Gi-Seong Moon; Weon-Sun Shin
Journal:  Prev Nutr Food Sci       Date:  2012-12
  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.