Antioxidant Enzymatic Activity and Osmotic Adjustment as Components of the Drought Tolerance Mechanism in Carex duriuscula
文献类型: 外文期刊
作者: Hou, Peichen 1 ; Wang, Feifei 3 ; Luo, Bin 1 ; Li, Aixue 1 ; Wang, Cheng 1 ; Shabala, Lana 2 ; Ahmed, Hassan Ahmed Ibr 1 ;
作者机构: 1.Beijing Acad Agr & Forestry Sci, Beijing Res Ctr Intelligent Equipment Agr, Beijing 100097, Peoples R China
2.Univ Tasmania, Tasmanian Inst Agr, Hobart, Tas 7001, Australia
3.Yangzhou Univ, Jiangsu Key Lab Crop Genet & Physiol, Coinnovat Ctr Modern Prod Technol Grain Crops,Col, Key Lab Plant Funct Genom,Minist Educ,Jiangsu Key, Yangzhou 225009, Jiangsu, Peoples R China
4.Foshan Univ, Int Res Ctr Environm Membrane Biol, Foshan 528011, Peoples R China
5.Port Said Univ, Fac Sci, Dept Bot, Port Said 42526, Egypt
6.Chinese Acad Forestry, Res Inst Forestry, State Key Lab Tree Genet & Breeding, Beijing 100091, Peoples R China
7.Chinese Acad Forestry, Tianjin Res Inst Forestry, Tianjin 300000, Peoples R China
8.Huazhong Agr Univ, Coll Plant Sci & Technol, Wuhan 430070, Peoples R China
关键词: Carex duriuscula; drought tolerance; ROS; antioxidant enzyme; ion concentration; osmotic adjustment; energy cost
期刊名称:PLANTS-BASEL ( 影响因子:2.762; )
ISSN:
年卷期: 2021 年 10 卷 3 期
页码:
收录情况: SCI
摘要: Drought stress is a major environmental constraint for plant growth. Climate-change-driven increases in ambient temperatures resulted in reduced or unevenly distributed rainfalls, leading to increased soil drought. Carex duriuscula C. A. Mey is a typical drought-tolerant sedge, but few reports have examined the mechanisms conferring its tolerant traits. In the present study, the drought responses of C. duriuscula were assessed by quantifying activity of antioxidant enzymes in its leaf and root tissues and evaluating the relative contribution of organic and inorganic osmolyte in plant osmotic adjustment, linking it with the patterns of the ion acquisition by roots. Two levels of stress-mild (MD) and severe (SD) drought treatments-were used, followed by re-watering. Drought stress caused reduction in a relative water content and chlorophyll content of leaves; this was accompanied by an increase in the hydrogen peroxide (H2O2) and superoxide (O-2(-)) contents in leaves and roots. Under MD stress, the activities of catalase (CAT), peroxidase (POD), and glutathione peroxidase (GPX) increased in leaves, whereas, in roots, only CAT and POD activities increased. SD stress led to an increase in the activities of CAT, POD, superoxide dismutase (SOD), and GPX in both tissues. The levels of proline, soluble sugars, and soluble proteins in the leaves also increased. Under both MD and SD stress conditions, C. duriuscula increased K+, Na+, and Cl- uptake by plant roots, which resulted in an increased K+, Na+, and Cl- concentrations in leaves and roots. This reliance on inorganic osmolytes enables a cost-efficient osmotic adjustment in C. duriuscula. Overall, this study revealed that C. duriuscula was able to survive arid environments due to an efficient operation of its ROS-scavenging systems and osmotic adjustment mechanisms.
- 相关文献
作者其他论文 更多>>
-
Improving UASS pesticide application: optimizing and validating drift and deposition simulations
作者:Tang, Qing;Zhang, Ruirui;Chen, Liping;Zhang, Pan;Li, Longlong;Xu, Gang;Yi, Tongchuan;Tang, Qing;Zhang, Ruirui;Chen, Liping;Zhang, Pan;Li, Longlong;Xu, Gang;Yi, Tongchuan;Hewitt, Andrew
关键词:lattice Boltzmann method (LBM); unmanned aerial spraying systems (UASS); Pest management; pesticide drift and deposition; optimization
-
Hyperspectral transmittance imaging detection of early decayed oranges caused by Penicillium digitatum using NFINDR-JMSAM algorithm with spectral feature separating
作者:Cai, Letian;Chen, Liping;Li, Xuetong;Zhang, Yizhi;Shi, Ruiyao;Li, Jiangbo;Cai, Letian
关键词:Citrus; Decay detection; Hyperspectral transmittance imaging; NFINDR-JMSAM; Spectral separation
-
Construction of a stable YOLOv8 classification model for apple bruising detection based on physicochemical property analysis and structured-illumination reflectance imaging
作者:Zhang, Junyi;Chen, Liping;Cai, Zhonglei;Shi, Ruiyao;Cai, Letian;Li, Jiangbo;Zhang, Junyi;Luo, Liwei;Yang, Xuhai;Li, Jiangbo
关键词:Apple; Bruising detection; Physicochemical property analysis; Structured-illumination reflectance imaging; Deep learning model
-
YOLO-detassel: Efficient object detection for Omitted Pre-Tassel in detasseling operation for maize seed production
作者:Yang, Jiaxuan;Zhang, Ruirui;Ding, Chenchen;Chen, Liping;Xie, Yuxin;Ou, Hong;Yang, Jiaxuan;Zhang, Ruirui;Ding, Chenchen;Chen, Liping;Xie, Yuxin;Ou, Hong;Yang, Jiaxuan;Chen, Liping
关键词:Detasseling; Object detection; UAV; Deep learning; Maize hybrid seed production
-
Boosting Cost-Efficiency in Robotics: A Distributed Computing Approach for Harvesting Robots
作者:Xie, Feng;Xie, Feng;Li, Tao;Feng, Qingchun;Li, Tao;Feng, Qingchun;Chen, Liping;Zhao, Chunjiang;Zhao, Hui
关键词:5G network; computation allocation; edge computing; harvesting robot; visual system
-
Combining dual-wavelength laser-induced fluorescence hyperspectral imaging with mutual information decomposition and redundancy elimination method to detect Aflatoxin B1 of individual maize kernels
作者:Fan, Yaoyao;Kang, Jian;Chen, Liping;Fan, Yaoyao;Yao, Xueying;Wang, Zheli;Long, Yuan;Chen, Liping;Huang, Wenqian;Tian, Xi;Tian, Xi
关键词:Dual-wavelength; Fluorescence hyperspectral imaging; Mutual information; Information decomposition; Maize kernels; Aflatoxin B1
-
Detection of maize seed viability using time series multispectral imaging technology
作者:Meng, Jingwu;Luo, Bin;Kang, Kai;Zhang, Han;Meng, Jingwu;Xia, Yu
关键词:Multispectral; Time series; Ensemble learning; Stochastic subspace; Maize seed viability



