Genetic and Environmental Influence on Maize Kernel Proteome
Autor: | Sirpa Kärenlampi, Seppo Auriola, Richard M. Röhlig, Mikko Anttonen, Karl-Heinz Engel, Satu Lehesranta |
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Rok vydání: | 2010 |
Předmět: |
Proteomics
Genotype Proteome Genetically modified crops Environment Biology Zea mays 01 natural sciences Biochemistry Mass Spectrometry 03 medical and health sciences Species Specificity Two dimensional electrophoresis Germany Electrophoresis Gel Two-Dimensional Plant Proteins 030304 developmental biology 2. Zero hunger 0303 health sciences Geography business.industry 010401 analytical chemistry Reproducibility of Results General Chemistry 0104 chemical sciences Biotechnology Seeds Seasons business |
Zdroj: | Journal of Proteome Research. 9:6160-6168 |
ISSN: | 1535-3907 1535-3893 |
DOI: | 10.1021/pr100251p |
Popis: | Comparative targeted compositional analysis is currently an important element in the safety assessment of genetically modified plants. Profiling methods have been suggested as nontargeted tools to improve the detection of possible unintended effects. In this study, the capability of 2-dimensional electrophoresis to detect significant differences among seven conventional maize (Zea mays) cultivars grown in six different locations in Germany during two consecutive seasons was evaluated. Besides maize genotype, both geographic location and season had a significant effect on protein profiles. Differences as high as 55- and 53-fold in the quantity of specific proteins were recorded, the median observed difference being around 6- and 5-fold between the genotypes and growing locations, respectively. Understanding the variation in the quantity of individual proteins should help to put the variation of endogenous proteins and the novel proteins in the genetically modified plants in perspective. This together with the targeted analyses the profiling methods, including proteomics, could also help to get a deeper insight into the unintended alterations that might have occurred during the genetic modification process. |
Databáze: | OpenAIRE |
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