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Sun JY, Guo R, Jiang Q, Chen CZ, Gao YQ, Jiang MM, Shen RF, Zhu XF, Huang J. Brassinosteroid decreases cadmium accumulation via regulating gibberellic acid accumulation and Cd fixation capacity of root cell wall in rice (Oryza sativa). JOURNAL OF HAZARDOUS MATERIALS 2024; 469:133862. [PMID: 38432090 DOI: 10.1016/j.jhazmat.2024.133862] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/09/2024] [Revised: 02/02/2024] [Accepted: 02/21/2024] [Indexed: 03/05/2024]
Abstract
The precise mechanism behind the association between plants' reactions to cadmium (Cd) stress and brassinosteroid (BR) remains unclear. In the current investigation, Cd stress quickly increased the endogenous BR concentration in the rice roots. Exogenous BR also increased the hemicellulose level in the root cell wall, which in turn increased its capacity to bind Cd. Simultaneously, the transcription level of genes responsible for root Cd absorption was decreased, including Natural Resistance-Associated Macrophage Protein 1/5 (OsNRAMP1/5) and a major facilitator superfamily gene called OsCd1. Ultimately, the increased expression of Heavy Metal ATPase 3 (OsHMA3) and the decreased expression of OsHMA2, which was in charge of separating Cd into vacuoles and translocating Cd to the shoots, respectively, led to a decrease in the amount of Cd that accumulated in the rice shoots. In contrast, transgenic rice lines overexpressing OsGSK2 (a negative regulator in BR signaling) accumulated more Cd, while OsGSK2 RNA interference (RNAi) rice line accumulated less Cd. Furthermore, BR increased endogenous Gibberellic acid (GA) level, and applying GA could replicate its alleviative effect. Taken together, BR decreased Cd accumulation in rice by mediating the cell wall's fixation capacity to Cd, which might relied on the buildup of the GA.
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Affiliation(s)
- Jie Ya Sun
- School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China; State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Science, Nanjing 210008, China
| | - Rui Guo
- School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China
| | - Qi Jiang
- State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Science, Nanjing 210008, China
| | - Chang Zhao Chen
- School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China; State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Science, Nanjing 210008, China
| | - Yong Qiang Gao
- School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China; State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Science, Nanjing 210008, China
| | - Meng Meng Jiang
- School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China
| | - Ren Fang Shen
- State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Science, Nanjing 210008, China
| | - Xiao Fang Zhu
- State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Science, Nanjing 210008, China
| | - Jiu Huang
- School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China.
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