Literature DB >> 11817370

A biotic ligand model predicting acute copper toxicity for Daphnia magna: the effects of calcium, magnesium, sodium, potassium, and pH.

Karel A C de Schamphelaere1, Colin R Janssen.   

Abstract

The extent to which Ca2+, Mg2+, Na+, K+ ions and pH independently mitigate acute copper toxicity for the cladoceran Daphnia magna was examined. Higher activities of Ca2+, Mg2+, and Na+ (but not K+) linearly increased the 48-h EC50 (as Cu2+ activity), supporting the concept of competitive binding of these ions and copper ions to toxic action or transport sites at the organism-water interface (e.g. fish gill, the biotic ligand). The increase of the EC50 (as Cu2+ activity) with increasing H+, however, seemed to suggest cotoxicity of CuOH+ rather than proton competition. Based on the biotic ligand model (BLM) concept, we developed a methodology to estimate stability constants for the binding of Cu2+, CuOH+, Ca2+, Mg2+, Na+, and H+ to the biotic ligand, solely based on toxicity data. Following values were obtained: log K(CuBL) = 8.02, log K(CuOHBL)= 7.45, log K(CaBL) = 3.47, log K(MgBL) = 3.58, log K(NaBL) = 3.19, and log K(HBL) approximately 5.4. Further, we calculated that on average 39% of the biotic ligand sites need to be occupied by copper to induce a 50% acute effect for D. magna after 48 h of exposure. Using the estimated constants, a BLM was developed that can predict acute copper toxicity for D. magna as a function of water characteristics. The presented methodology can easily be applied for BLM development for other organisms and metals. After validation with laboratory and natural waters (including DOC), the developed model will support efforts to improve the ecological relevance of presently applied risk assessment procedures.

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Year:  2002        PMID: 11817370     DOI: 10.1021/es000253s

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  37 in total

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3.  Does differential iron supply to algae affect Daphnia life history? An ionome-wide study.

Authors:  Punidan D Jeyasingh; Katja Pulkkinen
Journal:  Oecologia       Date:  2019-08-19       Impact factor: 3.225

4.  Effect of long-distance inter-basin water transfer on the bioavailability of Cu for the receiving water.

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Journal:  Environ Sci Pollut Res Int       Date:  2019-03-20       Impact factor: 4.223

5.  Predicting plant uptake and toxicity of lead (Pb) in long-term contaminated soils from derived transfer functions.

Authors:  Mohammed Kader; Dane T Lamb; Khandaker Rayhan Mahbub; Mallavarapu Megharaj; Ravi Naidu
Journal:  Environ Sci Pollut Res Int       Date:  2016-04-27       Impact factor: 4.223

6.  Dynamic features of ecophysiological response of freshwater clam to arsenic revealed by BLM-based toxicological model.

Authors:  Wei-Yu Chen; Chung-Min Liao
Journal:  Ecotoxicology       Date:  2010-04-06       Impact factor: 2.823

7.  Evolutionary toxicology: Meta-analysis of evolutionary events in response to chemical stressors.

Authors:  Elias M Oziolor; Karel De Schamphelaere; Cole W Matson
Journal:  Ecotoxicology       Date:  2016-10-03       Impact factor: 2.823

8.  Cell membrane surface potential (psi0) plays a dominant role in the phytotoxicity of copper and arsenate.

Authors:  Peng Wang; Dongmei Zhou; Thomas B Kinraide; Xiaosan Luo; Lianzhen Li; Dandan Li; Hailin Zhang
Journal:  Plant Physiol       Date:  2008-10-01       Impact factor: 8.340

9.  Incorporating bioavailability into toxicity assessment of Cu-Ni, Cu-Cd, and Ni-Cd mixtures with the extended biotic ligand model and the WHAM-F(tox) approach.

Authors:  Hao Qiu; Martina G Vijver; Erkai He; Yang Liu; Peng Wang; Bing Xia; Erik Smolders; Liske Versieren; Willie J G M Peijnenburg
Journal:  Environ Sci Pollut Res Int       Date:  2015-08-08       Impact factor: 4.223

10.  Predicting copper phytotoxicity based on pore-water pCu.

Authors:  Mohammed Kader; Dane T Lamb; Liang Wang; Mallavarapu Megharaj; Ravi Naidu
Journal:  Ecotoxicology       Date:  2016-01-06       Impact factor: 2.823

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