Application of Gamma Ray-Responsive Genes for Transcriptome-Based Phytodosimetry in Rice
Transcriptome-based dose–response curves were recently applied to the phytodosimetry of gamma radiation in a dicot plant, <i>Arabidopsis thaliana</i>, as an alternative biological assessment of genotoxicity using DNA damage response (DDR) genes. In the present study, we characterized gam...
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doaj-b867c4248d0a4d1d8aa59d7a95bad42b2021-05-31T23:53:06ZengMDPI AGPlants2223-77472021-05-011096896810.3390/plants10050968Application of Gamma Ray-Responsive Genes for Transcriptome-Based Phytodosimetry in RiceJin-Hong Kim0Kwon Hwangbo1Eujin Lee2Shubham Kumar Dubey3Moon-Soo Chung4Byung-Yeoup Chung5Sungbeom Lee6Advanced Radiation Technology Institute, Korea Atomic Energy Research Institute, 29 Geumgu-gil, Jeongeup-si 56212, KoreaAdvanced Radiation Technology Institute, Korea Atomic Energy Research Institute, 29 Geumgu-gil, Jeongeup-si 56212, KoreaAdvanced Radiation Technology Institute, Korea Atomic Energy Research Institute, 29 Geumgu-gil, Jeongeup-si 56212, KoreaAdvanced Radiation Technology Institute, Korea Atomic Energy Research Institute, 29 Geumgu-gil, Jeongeup-si 56212, KoreaAdvanced Radiation Technology Institute, Korea Atomic Energy Research Institute, 29 Geumgu-gil, Jeongeup-si 56212, KoreaAdvanced Radiation Technology Institute, Korea Atomic Energy Research Institute, 29 Geumgu-gil, Jeongeup-si 56212, KoreaAdvanced Radiation Technology Institute, Korea Atomic Energy Research Institute, 29 Geumgu-gil, Jeongeup-si 56212, KoreaTranscriptome-based dose–response curves were recently applied to the phytodosimetry of gamma radiation in a dicot plant, <i>Arabidopsis thaliana</i>, as an alternative biological assessment of genotoxicity using DNA damage response (DDR) genes. In the present study, we characterized gamma ray-responsive marker genes for transcriptome-based phytodosimetry in a monocot plant, rice (<i>Oryza sativa</i> L.), and compared different phytodosimetry models between rice and <i>Arabidopsis</i> using gamma-H2AX, comet, and quantitative transcriptomic assays. The transcriptome-based dose–response curves of four marker genes (<i>OsGRG, OsMutS</i>, <i>OsRAD51</i>, and <i>OsRPA1</i>) were reliably fitted to quadratic or exponential decay equations (<i>r</i><sup>2</sup> > 0.99). However, the single or integrated dose–response curves of these genes were distinctive from the conventional models obtained by the gamma-H2AX or comet assays. In comparison, rice displayed a higher dose-dependency in the comet signal and <i>OsRAD51</i> transcription, while the gamma-H2AX induction was more dose-dependent in <i>Arabidopsis</i>. The dose-dependent transcriptions of the selected gamma-ray-inducible marker genes, including <i>OsGRG</i>, <i>OsMutS</i>, <i>OsRAD51</i>, and <i>OsRPA1</i> in rice and <i>AtGRG</i>, <i>AtPARP1</i>, <i>AtRAD51</i>, and <i>AtRPA1E</i> in <i>Arabidopsis</i>, were maintained similarly at different vegetative stages. These results suggested that the transcriptome-based phytodosimetry model should be further corrected with conventional genotoxicity- or DDR-based models despite the high reliability or dose-dependency of the model. In addition, the relative weighting of each gene in the integrated transcriptome-based dose–response model using multiple genes needs to be considered based on the trend and amplitude of the transcriptional change.https://www.mdpi.com/2223-7747/10/5/968gamma radiationphytodosimetryrice<i>Arabidopsis</i>transcriptomegenotoxicity |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jin-Hong Kim Kwon Hwangbo Eujin Lee Shubham Kumar Dubey Moon-Soo Chung Byung-Yeoup Chung Sungbeom Lee |
spellingShingle |
Jin-Hong Kim Kwon Hwangbo Eujin Lee Shubham Kumar Dubey Moon-Soo Chung Byung-Yeoup Chung Sungbeom Lee Application of Gamma Ray-Responsive Genes for Transcriptome-Based Phytodosimetry in Rice Plants gamma radiation phytodosimetry rice <i>Arabidopsis</i> transcriptome genotoxicity |
author_facet |
Jin-Hong Kim Kwon Hwangbo Eujin Lee Shubham Kumar Dubey Moon-Soo Chung Byung-Yeoup Chung Sungbeom Lee |
author_sort |
Jin-Hong Kim |
title |
Application of Gamma Ray-Responsive Genes for Transcriptome-Based Phytodosimetry in Rice |
title_short |
Application of Gamma Ray-Responsive Genes for Transcriptome-Based Phytodosimetry in Rice |
title_full |
Application of Gamma Ray-Responsive Genes for Transcriptome-Based Phytodosimetry in Rice |
title_fullStr |
Application of Gamma Ray-Responsive Genes for Transcriptome-Based Phytodosimetry in Rice |
title_full_unstemmed |
Application of Gamma Ray-Responsive Genes for Transcriptome-Based Phytodosimetry in Rice |
title_sort |
application of gamma ray-responsive genes for transcriptome-based phytodosimetry in rice |
publisher |
MDPI AG |
series |
Plants |
issn |
2223-7747 |
publishDate |
2021-05-01 |
description |
Transcriptome-based dose–response curves were recently applied to the phytodosimetry of gamma radiation in a dicot plant, <i>Arabidopsis thaliana</i>, as an alternative biological assessment of genotoxicity using DNA damage response (DDR) genes. In the present study, we characterized gamma ray-responsive marker genes for transcriptome-based phytodosimetry in a monocot plant, rice (<i>Oryza sativa</i> L.), and compared different phytodosimetry models between rice and <i>Arabidopsis</i> using gamma-H2AX, comet, and quantitative transcriptomic assays. The transcriptome-based dose–response curves of four marker genes (<i>OsGRG, OsMutS</i>, <i>OsRAD51</i>, and <i>OsRPA1</i>) were reliably fitted to quadratic or exponential decay equations (<i>r</i><sup>2</sup> > 0.99). However, the single or integrated dose–response curves of these genes were distinctive from the conventional models obtained by the gamma-H2AX or comet assays. In comparison, rice displayed a higher dose-dependency in the comet signal and <i>OsRAD51</i> transcription, while the gamma-H2AX induction was more dose-dependent in <i>Arabidopsis</i>. The dose-dependent transcriptions of the selected gamma-ray-inducible marker genes, including <i>OsGRG</i>, <i>OsMutS</i>, <i>OsRAD51</i>, and <i>OsRPA1</i> in rice and <i>AtGRG</i>, <i>AtPARP1</i>, <i>AtRAD51</i>, and <i>AtRPA1E</i> in <i>Arabidopsis</i>, were maintained similarly at different vegetative stages. These results suggested that the transcriptome-based phytodosimetry model should be further corrected with conventional genotoxicity- or DDR-based models despite the high reliability or dose-dependency of the model. In addition, the relative weighting of each gene in the integrated transcriptome-based dose–response model using multiple genes needs to be considered based on the trend and amplitude of the transcriptional change. |
topic |
gamma radiation phytodosimetry rice <i>Arabidopsis</i> transcriptome genotoxicity |
url |
https://www.mdpi.com/2223-7747/10/5/968 |
work_keys_str_mv |
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