Effect of Transgenes on Global Gene Expression in Soybean Is within the Natural Range of Variation of Conventional Cultivars

Current safety assessment for novel crops, including transgenic crops, uses a targeted approach, which relies on compositional analysis. The possibility that transgene expression could lead to unintended effects remains a debated issue. This study used transcriptome profiling as a nontargeted approa...

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Bibliographic Details
Published in:Journal of agricultural and food chemistry 2008-05, Vol.56 (9), p.3057-3067
Main Authors: Cheng, K. C, Beaulieu, J, Iquira, E, Belzile, F. J, Fortin, M. G, Strömvik, M. V
Format: Article
Language:English
Subjects:
Biological and medical sciences
Chemical Aspects of Biotechnology/Molecular Biology
cultivars
Food industries
Fruit and vegetable industries
Fundamental and applied biological sciences. Psychology
gene expression
Gene Expression - genetics
Gene Expression Profiling
Genotype
Glycine max
Glycine max - genetics
leaves
Plant Leaves - genetics
Plants, Genetically Modified - genetics
Pleiotropic effects
soybeans
Species Specificity
transcriptome
transgenes
Transgenes - genetics
transgenic plants
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Summary:Current safety assessment for novel crops, including transgenic crops, uses a targeted approach, which relies on compositional analysis. The possibility that transgene expression could lead to unintended effects remains a debated issue. This study used transcriptome profiling as a nontargeted approach to evaluate overall molecular changes in transgenic soybean cultivars. Global gene expression was measured in the first trifoliate leaves of two transgenic and three conventional soybean cultivars using the soybean Affymetrix GeneChip. It was found that gene expression differs more between the two conventional cultivars than between the transgenics and their closest conventional cultivar investigated and that the magnitudes of differences measured in gene expression and genotype (determined by SSR analysis) do not necessarily correlate. A MySQL database coupled with a CGI Web interface was developed to store and present the results (http://soyxpress.agrenv.mcgill.ca/). By integrating the microarray data with gene annotations and other soybean data, a comprehensive view of differences in gene expression is explored between cultivars.
ISSN:0021-8561
1520-5118
DOI:10.1021/jf073505i