| Response characteristics of physiological and biochemical indices and gene expression analysis of sesame during seedling stage under drought |
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| DOI：10.7606/j.issn.1000-7601.2024.01.15 |
| Key Words: Sesamum indicum L. physiological indicators of drought resistance drought resistance identification SOD synthesis related gene expression |
| Author Name | Affiliation | | LIU Wenping | Industrial Crop Research Institute, Shanxi Agricultural University, Taiyuan, Shanxi 030031, China | | LIU Xiaxia | Industrial Crop Research Institute, Shanxi Agricultural University, Taiyuan, Shanxi 030031, China | | HAN Junmei | Industrial Crop Research Institute, Shanxi Agricultural University, Taiyuan, Shanxi 030031, China | | WEN Fei | Industrial Crop Research Institute, Shanxi Agricultural University, Taiyuan, Shanxi 030031, China | | LV Wei | Industrial Crop Research Institute, Shanxi Agricultural University, Taiyuan, Shanxi 030031, China | | WANG Ruopeng | Industrial Crop Research Institute, Shanxi Agricultural University, Taiyuan, Shanxi 030031, China |
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| Abstract: |
| To establish a drought resistance identification system for sesame and screen drought resistant varieties, a pot repeated drought method was used, with normal water content (CK) and drought stress (DS) treatments set up. 31 sesame materials were subjected to super physiological and biochemical indicators determination and comprehensive evaluation, and the expression level of SOD synthesis related genes was detected using qRT-PCR. Results of the analysis showed that O2, SS, Pro contents, SOD, and POD activities under drought stress were obviously increased compared with the control group. The highest coefficient of variation of drought resistance coefficient and drought resistance index were SOD(98.64%) and O2 (154.01%). The drought resistance index was significantly positively correlated with O2 content and SOD activity, which could be used as important indicators for drought resistance identification of sesame seedlings. 31 sesame materials were divided into 5 categories by clustering analysis: high drought\|resistance, medium drought\|resistance, low drought\|resistance, low drought\|sensitive and high drought\|sensitive. Using a comprehensive evaluation method, 2 high drought resistance materials (‘Fenzhi 10’ and ‘Yu-11-12’) , 4 medium drought\|resistance materials, 9 low drought\|resistance materials, 10 drought\|sensitivity materials, and 5 highly drought\|sensitivity materials were selected. The content of O2 and the activity of SOD can be used as the indexes for rapid identification of drought resistance of sesame. |
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