Multi-Omic Approach to Reveal the Effect of Low-Level Gamma Radiation on Rice Seeds. (original) (raw)

2015, 7th Recent Advances in Food Analysis

The exposure of plants to ionizing radiation (IR) is known to trigger a wide range of responses between initial absorption of energy and final biological injury. In this study, we performed multi-omic study to investigate the effects of gamma radiation on seeds of rice plants (cv. Koshihikari) grown in radionuclide contaminated soil at Iitate farm located in Iitate village consequent to the nuclear power plant disaster of March 2011, Fukushima prefecture. Seeds from rice plants (cv. Koshihikari) grown in clean soil served as control. The gene expression analysis was conducted using rice 4 × 44 k microarrays and metabolite analysis was done by using LC/MS and GC/MS followed by combined data analysis using GeneSpring software. Gene expression microarray analysis revealed 1891 and 440 genes as gamma ray inducible and repressible genes, respectively (P<0.05). The metabolite analysis using LC/MS and GC/MS revealed 50 differential metabolites (P<0.05). The combined multi-omics analysis revealed modulation of several metabolic and defense pathways related to stress response of plants. Interconnectivity between upstream and downstream pathways at gene and metabolite levels were also observed. Our results suggest that the rice plants grown up in radionuclide contaminated soils form seeds with elevated capability to defend well by eliciting appropriate stress responses. Cite as: G Hayashi, J Shibato , A Kubo, M Fukumoto, S Shioda, G Oros, R Rakwal, SA Deepak (2015): Multi-Omic Approach to Reveal the Effect of Low-Level Gamma Radiation on Rice Seeds. Book of Abstracts (Editors Jana Hajšlová and Michel Nielen) of the 7th Recent Advances in Food Analysis · RAFA 2015, November 3–6, 2015, Prague, Czech Republic, Published by the University of Chemistry and Technology, Prague, p. 284. ISBN 978-80-7080-934-1