Ionomic responses of rice plants to the stresses of different arsenic species in hydroponics. (March 2020)

• Record Type: Journal Article
• Authors: Du, Fan; Liu, Peng; Wang, Kai; Yang, Zhaoguang; Wang, Lin
• Is Part Of: Chemosphere. Volume 243(2020)
• Publication Date: 2020-03
• Subjects: Ionomics -- Heatmap -- Principle component analysis -- Paddy rice; Pollution -- Periodicals; Pollution -- Physiological effect -- Periodicals; Environmental sciences -- Periodicals; Atmospheric chemistry -- Periodicals; 551.511
• DOI: 10.1016/j.chemosphere.2019.125398
• Languages: English
• ISSNs: 0045-6535

Abstract

Abstract: Different ionomic profiles of plants are associated with different external stresses to which they are exposed. Investigation of ionomic variation is necessary for understanding the migration and detoxification of toxic elements in plants. In the current study, rice plants were treated with arsenite, arsenate, monomethylarsonic acid and dimethylarsinic acid in hydroponics. The ionomic responses of the rice plants to different arsenic (As) species stresses were measured and analyzed. The multielement approach is more sensitive at detecting significant variations from external environmental stresses than the consideration of several individual elements. The pairs of significant correlations between elements varied based on the rice tissues and As species used in treatment, resulting in specific correlation networks. However, some pairs of correlations existed regardless of As species treatment used in this study. Positive correlations between P and Fe were observed in rice roots treated with any of the As species, implying that P and Fe share similar biological processes. The heatmap from hierarchical cluster analysis (HCA) agreed with the principal component analysis (PCA) results in ionomic differentiation between roots and shoots. Furthermore, ionomic differences between rice plants treated with different As species were identified through PCA. This study revealed that the ionomic profiles in rice plants are sufficient to detect responses to environmental perturbations. Association studies between ionomics and genomics are necessary to further understand the potential mechanisms that promote uptake or exclusion of elements in plants. Graphical abstract: Image 1 Highlights: The ionomic responses of rice plants to As species stresses were determined. Multielement approach is sensitive to detect variations from environmental stress. Ionomic profiles were capable to detect the response to external perturbations. Correlation between P and Fe was attributed to their similar biological processes.