Effects of Metal Mixtures on Aquatic Biota: A Review of Observations and Methods

Norwood, W. P.; Borgmann, Uwe; Dixon, D. George; Wallace, A.

doi:10.1080/713610010

Cited by 263 publications

(242 citation statements)

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“…Equations 3 and 4 were derived from the common expression of the TEF approach based on substance concentrations [6]. According to the BLM, f M is determined based on assumed independence of the complexation capacity of ions on water quality characteristics [14,16].…”

Section: Toxicity Of Single Metalsmentioning

confidence: 99%

“…This assumption is based on physiological findings indicating that toxic cations, such as Cu 2þ and Ag þ , may inhibit the uptake of Na þ or Ca 2þ for specific binding sites at the fish gill, leading to adverse effects [3][4][5]. Furthermore, the assumption potentially allows taking into account interactions between different metal ions in assessment of mixture toxicity [1,6,7]. In particular, it is possible to predict how different metals interact with one another if their stability constants are known.…”

Section: Introductionmentioning

confidence: 99%

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Modeling toxicity of binary metal mixtures (Cu²⁺–Ag⁺, Cu²⁺–Zn²⁺) to lettuce, Lactuca sativa, with the biotic ligand model

Vijver

Hendriks

et al. 2012

Enviro Toxic and Chemistry

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Abstract-The biotic ligand model (BLM) was applied to predict metal toxicity to lettuce, Lactuca sativa. Cu 2þ had the lowest median effective activity (EA50 M ), compared with Ag þ and Zn 2þ (EA50 Cu ¼ 2.60 Â 10 À8 M, EA50 Ag ¼ 1.34 Â 10 À7 M, EA50 Zn ¼ 1.06 Â 10 À4 M). At the 50% response level, the fraction of the total number of biotic ligands occupied by ions ( f50 M ) was lowest for Ag þ among the metals ( f50 Ag ¼ 0.22, f50 Cu ¼ 0.36, f50 Zn ¼ 0.42). Cu 2þ had the highest affinity for biotic ligands compared with Ag þ and Zn 2þ , as shown by stability constants of the cation-biotic ligand binding, expressed as log K MBL (log K CuBL ¼ 7.40, log K AgBL ¼ 6.39, log K ZnBL ¼ 4.00). Furthermore, the BLM was combined with the toxic equivalency factor approach in predicting toxicity of mixtures of Cu 2þ -Zn 2þ and Cu 2þ -Ag þ . The fraction of biotic ligands occupied by ions was used to determine the relative toxic potency of metals and the toxic equivalency quotient (TEQ) of mixtures. This approach allowed for including interactions in estimating mixture toxicity and showed good predictive power (r 2 ¼ 0.64-0.84). The TEQ at the 50% response level (TEQ50, Cu 2þ equivalents) for Cu 2þ -Zn 2þ mixtures was significantly lower than the value for Cu 2þ -Ag þ mixtures. Joint toxicity depended on both TEQ and specific composition of the mixture. The present study supports the use of the accumulation of metal ions at the biotic ligands as a predictor of toxicity of single metals and mixtures. Environ. Toxicol. Chem. 2013;32:137-143. # 2012 SETAC

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Section: Toxicity Of Single Metalsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Modeling toxicity of binary metal mixtures (Cu²⁺–Ag⁺, Cu²⁺–Zn²⁺) to lettuce, Lactuca sativa, with the biotic ligand model

Vijver

Hendriks

et al. 2012

Enviro Toxic and Chemistry

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“…While the science has improved, the judicious use of the various methods with suitable acknowledgement of their limitations is not altogether common. In addition, a growing body of recent literature is showing the importance of new chemical stressors, their accumulation in sediments, and their interactions showing greater than additive effects [221][222][223][224]. The often common and significant stressors are frequently not characterized from an exposure-and-effects (risk) perspective.…”

Section: Assessment Methods and Limitationsmentioning

confidence: 99%

Assessing contaminated sediments in the context of multiple stressors

Burton

Johnston

2010

Enviro Toxic and Chemistry

142

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Abstract-Sediments have a major role in ecosystem functioning but can also act as physical or chemical stressors. Anthropogenic activities may change the chemical constituency of sediments and the rate, frequency, and extent of sediment transport, deposition, and resuspension. The importance of sediments as stressors will depend on site ecosystem attributes and the magnitude and preponderance of co-occurring stressors. Contaminants are usually of greater ecological consequence in human-modified, depositional environments, where other anthropogenic stressors often co-occur. Risk assessments and restoration strategies should better consider the role of chemical contamination in the context of multiple stressors. There have been numerous advances in the temporal and spatial characterization of stressor exposures and quantification of biological responses. Contaminated sediments causing biological impairment tend to be patchy, whereas more pervasive anthropogenic stressors, such as alterations to habitat and flow, physical disturbance, and nutrient addition, may drive large-scale ecosystem responses. A systematic assessment of relevant ecosystem attributes and reference conditions can assist in understanding the importance of sediments in the context of other stressors. Experimental manipulations then allow for the controlled study of dominant stressors and the establishment of causal links. This approach will result in more effective management of watersheds and waterways. Environ. Toxicol. Chem. 2010;29:262529: -264329: . # 2010

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“…The effects of copper combined with toxic metals such as zinc, cadmium, lead, silver, and nickel have been extensively documented for a range of organisms (16,17). In most of these studies, the effects were found to be additive or even antagonistic (combinations were less toxic than single metals), but in some cases, synergistic toxicity was apparent.…”

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confidence: 99%

Iron and Copper Act Synergistically To Delay Anaerobic Growth of Bacteria

Bird

Coleman

Newman

2013

Appl Environ Microbiol

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bTransition metals are known to cause toxic effects through their interaction with oxygen, but toxicity under anoxic conditions is poorly understood. Here we investigated the effects of iron (Fe) and copper (Cu) on the anaerobic growth and gene expression of the purple phototrophic bacterium Rhodopseudomonas palustris TIE-1. We found that Fe(II) and Cu(II) act synergistically to delay anaerobic growth at environmentally relevant metal concentrations. Cu(I) and Cu(II) had similar effects both alone and in the presence of ascorbate, a Cu(II) reductant, indicating that reduction of Cu(II) to Cu(I) by Fe(II) is not sufficient to explain the growth inhibition. Addition of Cu(II) increased the toxicity of Co(II) and Ni(II); in contrast, Ni(II) toxicity was diminished in the presence of Fe(II). The synergistic anaerobic toxicity of Fe(II) and Cu(II) was also observed for Escherichia coli MG1655, Shewanella oneidensis MR-1, and Rhodobacter capsulatus SB1003. Gene expression analyses for R. palustris identified three regulatory genes that respond to Cu(II) and not to Fe(II): homologs of cueR and cusR, two known proteobacterial copper homeostasis regulators, and csoR, a copper regulator recently identified in Mycobacterium tuberculosis. Two P-type ATPase efflux pumps, along with an F o F 1 ATP synthase, were also upregulated by Cu(II) but not by Fe(II). An Escherichia coli mutant deficient in copA, cus, and cueO showed a smaller synergistic effect, indicating that iron might interfere with one or more of the copper homeostasis systems. Our results suggest that interactive effects of transition metals on microbial physiology may be widespread under anoxic conditions, although the molecular mechanisms remain to be more fully elucidated.

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Effects of Metal Mixtures on Aquatic Biota: A Review of Observations and Methods

Cited by 263 publications

References 0 publications

Modeling toxicity of binary metal mixtures (Cu²⁺–Ag⁺, Cu²⁺–Zn²⁺) to lettuce, Lactuca sativa, with the biotic ligand model

Modeling toxicity of binary metal mixtures (Cu²⁺–Ag⁺, Cu²⁺–Zn²⁺) to lettuce, Lactuca sativa, with the biotic ligand model

Assessing contaminated sediments in the context of multiple stressors

Iron and Copper Act Synergistically To Delay Anaerobic Growth of Bacteria

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Effects of Metal Mixtures on Aquatic Biota: A Review of Observations and Methods

Cited by 263 publications

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Modeling toxicity of binary metal mixtures (Cu2+–Ag+, Cu2+–Zn2+) to lettuce, Lactuca sativa, with the biotic ligand model

Modeling toxicity of binary metal mixtures (Cu2+–Ag+, Cu2+–Zn2+) to lettuce, Lactuca sativa, with the biotic ligand model

Assessing contaminated sediments in the context of multiple stressors

Iron and Copper Act Synergistically To Delay Anaerobic Growth of Bacteria

Contact Info

Product

Resources

About

Modeling toxicity of binary metal mixtures (Cu²⁺–Ag⁺, Cu²⁺–Zn²⁺) to lettuce, Lactuca sativa, with the biotic ligand model

Modeling toxicity of binary metal mixtures (Cu²⁺–Ag⁺, Cu²⁺–Zn²⁺) to lettuce, Lactuca sativa, with the biotic ligand model