Characterization of the effects of binary metal mixtures on short-term uptake of Ag, Cu, and Ni by rainbow trout (Oncorhynchus mykiss)

Aquat Toxicol. 2016 Nov:180:236-246. doi: 10.1016/j.aquatox.2016.10.008. Epub 2016 Oct 11.

Abstract

Single metal Biotic Ligand Models (BLMs) have been developed for a number of metals and model organisms. While these BLMs improve our ability to regulate metals in the aquatic environment, in reality, organisms are often simultaneously exposed to metal mixtures. Recently, several attempts have been made to develop mixture BLMs (mBLMs). Some of these models assume competitive interactions between all metals, while others assume only metals with a similar mode of action (e.g., Na+ or Ca2+ antagonists) will competitively interact. To begin testing these assumptions in the mBLM framework, standard 3-h gill metal binding assays with Ag, Cu, and Ni (primary metals), were performed in vivo on freshwater rainbow trout. Fish were exposed across a range of concentrations encompassing the 96-h LC50 for that metal to characterize uptake kinetics for each of these three primary metals (radiolabelled) in the presence and absence of a secondary metal (Ag, Cd, Cu, Ni, Pb, or Zn; not radiolabelled). We observed a complex series of interactions in binary mixtures that frequently contradicted theoretical expectations. Metals with similar modes of action did competitively interact in some instances, but not others, and when they did compete the competition was not necessarily reciprocal (e.g., Cu inhibited Ag uptake but Ag did not inhibit Cu uptake). We also observed examples of interactions between metals with dissimilar modes of action and several examples of metals stimulating the uptake of other metals. The underlying mechanisms for these unexpected interactions are unclear, but suggest that many of the current assumptions in mBLMs regarding the number and types of metal uptake sites and corresponding metal interactions are not correct. Careful characterization of metal mixture interactions is clearly needed before a reliable mBLM can be developed.

Keywords: Biotic ligand model; Copper; Mixtures; Nickel; Rainbow trout; Silver.

MeSH terms

  • Animals
  • Copper / pharmacokinetics*
  • Copper / toxicity
  • Gills / drug effects
  • Gills / metabolism*
  • Lethal Dose 50
  • Ligands
  • Models, Chemical
  • Nickel / pharmacokinetics*
  • Nickel / toxicity
  • Oncorhynchus mykiss / metabolism*
  • Silver / pharmacokinetics*
  • Silver / toxicity
  • Water Pollutants, Chemical / pharmacokinetics*

Substances

  • Ligands
  • Water Pollutants, Chemical
  • Silver
  • Copper
  • Nickel