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http://dx.doi.org/10.5010/JPB.2019.46.3.205

Methods for environmental risk assessment of rice transgenic plants expressing small non-coding RNA  

Jin, Byung Jun (Division of Applied Life Science (BK21 Plus), Institute of Agriculture & Life Science, Gyeongsang National University)
Chun, Hyun Jin (Division of Applied Life Science (BK21 Plus), Institute of Agriculture & Life Science, Gyeongsang National University)
Cho, Hyun Min (Division of Applied Life Science (BK21 Plus), Institute of Agriculture & Life Science, Gyeongsang National University)
Lee, Su Hyeon (Division of Applied Life Science (BK21 Plus), Institute of Agriculture & Life Science, Gyeongsang National University)
Choi, Cheol Woo (Division of Applied Life Science (BK21 Plus), Institute of Agriculture & Life Science, Gyeongsang National University)
Jung, Wook-Hun (Division of Applied Life Science (BK21 Plus), Institute of Agriculture & Life Science, Gyeongsang National University)
Baek, Dongwon (Division of Applied Life Science (BK21 Plus), Institute of Agriculture & Life Science, Gyeongsang National University)
Han, Chang-deok (Division of Applied Life Science (BK21 Plus), Institute of Agriculture & Life Science, Gyeongsang National University)
Kim, Min Chul (Division of Applied Life Science (BK21 Plus), Institute of Agriculture & Life Science, Gyeongsang National University)
Publication Information
Journal of Plant Biotechnology / v.46, no.3, 2019 , pp. 205-216 More about this Journal
Abstract
Since the RNA interference (RNAi) had been discovered in many organisms, small non-coding RNA-mediated gene silencing technology, including RNAi have been widely applied to analysis of gene function, as well as crop improvement. Despite the usefulness of RNAi technology, RNAi transgenic crops have various potential environmental risks, including off-target and non-target effects. In this study, we developed methods that can be effectively applied to environmental risk assessment of RNAi transgenic crops and verified these methods in 35S::dsRNAi_eGFP rice transgenic plant we generated. Off-target genes, which can be non-specifically suppressed by the expression of dsRNAi_eGFP, were predicted by using the published web tool, pssRNAit, and verified by comparing their expressions between wild-type (WT) and 35S::dsRNAi_eGFP transgenic rice. Also, we verified the non-target effects of the 35S:: dsRNAi_eGFP plant by evaluating horizontal and vertical transfer of small interfering RNAs (siRNAs) produced in the 35S::dsRNAi_eGFP plant into neighboring WT rice and rhizosphere microorganisms, respectively. Our results suggested that the methods we developed, could be widely applied to various RNAi transgenic crops for their environmental risk assessment.
Keywords
Rice; RNA interference; Small non-coding RNA; Off-target effect; Environmental risk assessment;
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