Development of an electrostatic model predicting copper toxicity to plants

Wang, Peng, De Schamphelaere, Karel A. C., Kopittke, Peter M., Zhou, Dong-Mei, Peijnenburg, Willie J. G. M. and Lock, Koen (2012) Development of an electrostatic model predicting copper toxicity to plants. Journal of Experimental Botany, 63 2: 659-668. doi:10.1093/jxb/err254

Author Wang, Peng
De Schamphelaere, Karel A. C.
Kopittke, Peter M.
Zhou, Dong-Mei
Peijnenburg, Willie J. G. M.
Lock, Koen
Title Development of an electrostatic model predicting copper toxicity to plants
Journal name Journal of Experimental Botany   Check publisher's open access policy
ISSN 0022-0957
Publication date 2012-01
Year available 2011
Sub-type Article (original research)
DOI 10.1093/jxb/err254
Volume 63
Issue 2
Start page 659
End page 668
Total pages 10
Place of publication Oxford, United Kingdom
Publisher Oxford University Press
Collection year 2012
Language eng
Formatted abstract
The focus of the present study was to investigate the mechanisms for the alleviation of Cu toxicity in plants by coexistent cations (e.g. Al3+, Mn2+, Ca2+, Mg2+, H+, Na+, and K+) and the development of an electrostatic model to predict 50% effect activities (EA50s) accurately. The alleviation of Cu2+ toxicity was evaluated in several plants in terms of (i) the electrical potential at the outer surface of the plasma membrane (PM) (Ψ0°) and (ii) competition between cations for sites at the PM involved in the uptake or toxicity of Cu2+, the latter of which is invoked by the Biotic Ligand Model (BLM) as the sole explanation for the alleviation of toxicity. The addition of coexistent cations into the bulk-phase medium reduces the negativity of Ψ0° and hence decreases the activity of Cu2+ at the PM surface. Our analyses suggest that the alleviation of toxicity results primarily from electrostatic effects (i.e. changes in both the Cu2+ activity at the PM surface and the electrical driving force across the PM), and that BLM-type competitive effects may be of lesser importance in plants. Although this does not exclude the possibility of competition, the data highlight the importance of electrostatic effects. An electrostatic model was developed to predict Cu2+ toxicity thresholds (EA50s), and the quality of its predictive capacity suggests its potential utility in risk assessment of copper in natural waters and soils.
Keyword Biotic ligand model
Copper toxicity
Electrostatic effects
Plasma membrane
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes First published online: October 20, 2011

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2012 Collection
School of Agriculture and Food Sciences
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Citation counts: TR Web of Science Citation Count  Cited 11 times in Thomson Reuters Web of Science Article | Citations
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