High-Throughput Phenotyping (HTP) Data Reveal Dosage Effect at Growth Stages inArabidopsis thalianaIrradiated by Gamma Rays
High-Throughput Phenotyping (HTP) Data Reveal Dosage Effect at Growth Stages inArabidopsis thalianaIrradiated by Gamma Rays
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DOI：
10.3390/plants9050557
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发表时间：
2020-05-01
期刊：
影响因子：
4.5
通讯作者：
Kim, Jin-Baek
中科院分区：
文献类型：
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作者：
Chang, Sungyul;Lee, Unseok;Kim, Jin-Baek
辐射剂量对植物物种的影响在数量上表现为致死剂量或突变育种中生长减少所需的剂量。然而，致死剂量和生长抑制未能提供动态生长行为信息，如辐照后的生长速率。辐照过的拟南芥种子在环境受控的高通量表型分析（HTP）平台上生长，以捕获生长图像，并用机器学习算法进行分析。数字表型数据分析显示，在低于LD（50）值（641戈伊）治疗后，生长模式独特。与野生型相比，用100-戈伊γ辐照处理的植物显示出几乎相同的生长模式;在播种后>21天观察到兴奋效应。在200个Gy处理的植物中，观察到均匀的生长模式，但莲座丛面积小于野生型（p< 0.05）。营养和生殖阶段之间的转变并没有被推迟照射在200和300戈伊，虽然在相同的照射剂量下检测到生长抑制。在一项单独的研究中，使用200和300戈伊剂量的HTP对结果进行了验证。据我们所知，这是第一个应用HTP平台测量和分析植物辐射剂量效应的研究。该方法能够对增长模式进行深入分析，这在以前由于缺乏时间序列数据而无法发现。这一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。
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 ofArabidopsiswere 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(50)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 (p< 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.