Chang Sungyul, Lee Unseok, Hong Min Jeong, Jo Yeong Deuk, Kim Jin-Beak
Radiation Breeding Research Team, Advanced Radiation Technology Institute (ARTI), Korea Atomic Energy Research Institute (KAERI), 29 Geumgu-gil, Jeongeup-si, Jeollabuk-do 56212, Korea.
Smart Farm Research Center, Korea Institute of Science and Technology (KIST), 679 Saimdang-ro, Gangneung, Gangwon-do 210-340, Korea.
Plants (Basel). 2020 Apr 27;9(5):557. doi: 10.3390/plants9050557.
The effects of radiation dosages on plant species are quantitatively presented as the lethal dose or the dose required for growth reduction in mutation breeding. However, lethal dose and growth reduction fail to provide dynamic growth behavior information such as growth rate after irradiation. Irradiated seeds of were grown in an environmentally controlled high-throughput phenotyping (HTP) platform to capture growth images that were analyzed with machine learning algorithms. Analysis of digital phenotyping data revealed unique growth patterns following treatments below LD value at 641 Gy. Plants treated with 100-Gy gamma irradiation showed almost identical growth pattern compared with wild type; the hormesis effect was observed >21 days after sowing. In 200 Gy-treated plants, a uniform growth pattern but smaller rosette areas than the wild type were seen ( < 0.05). The shift between vegetative and reproductive stages was not retarded by irradiation at 200 and 300 Gy although growth inhibition was detected under the same irradiation dose. Results were validated using 200 and 300 Gy doses with HTP in a separate study. To our knowledge, this is the first study to apply a HTP platform to measure and analyze the dosage effect of radiation in plants. The method enabled an in-depth analysis of growth patterns, which could not be detected previously due to a lack of time-series data. This information will improve our knowledge about the effects of radiation in model plant species and crops.
在诱变育种中,辐射剂量对植物物种的影响以致死剂量或生长抑制所需剂量的形式进行定量呈现。然而,致死剂量和生长抑制未能提供诸如辐照后生长速率等动态生长行为信息。将辐照后的种子种植在环境可控的高通量表型分析(HTP)平台上,以获取生长图像,并使用机器学习算法进行分析。对数字表型数据的分析揭示了在641 Gy的致死剂量(LD)值以下处理后的独特生长模式。与野生型相比,经100 Gyγ射线辐照处理的植物显示出几乎相同的生长模式;在播种后21天以上观察到刺激效应。在经200 Gy处理的植物中,观察到生长模式一致,但莲座叶面积比野生型小(P<0.05)。尽管在相同辐照剂量下检测到生长抑制,但200和300 Gy辐照并未延迟营养生长和生殖生长阶段之间的转变。在另一项研究中,使用200和300 Gy剂量的HTP验证了结果。据我们所知,这是第一项应用HTP平台来测量和分析辐射对植物剂量效应的研究。该方法能够深入分析生长模式,而此前由于缺乏时间序列数据而无法检测到这些模式。这些信息将增进我们对辐射对模式植物物种和作物影响的了解。