Reprint of “Fast and sensitive in vivo studies under controlled environmental conditions to substitute long-term field trials with genetically modified plants”

•An in vitro assessment of root and rhizosphere effects of transgenic plants thatcan detect even minor effects and correlates them to transgene expression with less space, time and labour.•Dissimilarity of rhizodeposits between transgenic and non-transgenic cultivars is reflected by soil microbial PLFA ratios.•Fast detection of statistically significant transgene-specific effects with a great numbers of events cultivated in small space under semi-sterile and non-sterile conditions.•Early detection of effects that can prevent superfluous developments and analyses.•The system might render time consuming and expensive field tests that are less sensitive, unnecessary. We introduce an easy, fast and effective method to analyze the influence of genetically modified (GM) plants on soil and model organisms in the laboratory to substitute laborious and time consuming field trials. For the studies described here we focused on two GM plants of the so-called 3rd generation: GM plants producing pharmaceuticals (PMP) and plant made industrials (PMI). Cyanophycin synthetase (cphA) was chosen as model for PMI and Choleratoxin B (CTB) as model for PMP. The model genes are expressed in transgenic roots of composite Vicia hirsuta plants grown in petri dishes for semi-sterile growth or small containers filled with non-sterile soil. No significant influence of the model gene expression on root induction, growth, biomass, interaction with symbionts such as rhizobia (number, size and functionality of nodules, selection of nodulating strains) or arbuscular mycorrhizal fungi could be detected. In vitro, but not in situ under field conditions, structural diversity of the bulk soil microbial community between transgenic and non-transgenic cultivars was determined by PLFA pattern-derived ratios of bacteria: fungi and of gram+: gram− bacteria. Significant differences in PLFA ratios were associated with dissimilarities in the quantity and molecular composition of rhizodeposits as revealed by Py-FIMS analyses. Contrary to field trials, where small effects based on the transgene expression might be hidden by the immense influence of various environmental factors, our in vitro system can detect even minor effects and correlates them to transgene expression with less space, time and labour.