Predicting chronic copper and nickel reproductive toxicity to Daphnia pulex-pulicaria from whole-animal metabolic profiles

Environ Pollut. 2016 May:212:325-329. doi: 10.1016/j.envpol.2016.01.074. Epub 2016 Feb 6.

Abstract

The emergence of omics approaches in environmental research has enhanced our understanding of the mechanisms underlying toxicity; however, extrapolation from molecular effects to whole-organism and population level outcomes remains a considerable challenge. Using environmentally relevant, sublethal, concentrations of two metals (Cu and Ni), both singly and in binary mixtures, we integrated data from traditional chronic, partial life-cycle toxicity testing and metabolomics to generate a statistical model that was predictive of reproductive impairment in a Daphnia pulex-pulicaria hybrid that was isolated from an historically metal-stressed lake. Furthermore, we determined that the metabolic profiles of organisms exposed in a separate acute assay were also predictive of impaired reproduction following metal exposure. Thus we were able to directly associate molecular profiles to a key population response - reproduction, a key step towards improving environmental risk assessment and management.

Keywords: Ecotoxicology; Environmental risk assessment; Mass spectrometry; Metabolomics; Metal mixtures; PLS-R.

MeSH terms

  • Animals
  • Copper / toxicity*
  • Daphnia / drug effects
  • Daphnia / metabolism*
  • Daphnia / physiology
  • Ecotoxicology / methods*
  • Ecotoxicology / statistics & numerical data
  • Genetics, Population
  • Metabolome*
  • Metabolomics
  • Models, Statistical
  • Nickel / toxicity*
  • Reproduction / drug effects*
  • Risk Assessment
  • Time Factors
  • Water Pollutants, Chemical / toxicity*

Substances

  • Water Pollutants, Chemical
  • Copper
  • Nickel