Green Algae and Networks for Adverse Outcome Pathways

  • Anze Zupanic
  • Smitha Pillai
  • Diana Coman Schmid
  • Kristin Schirmer


If adverse outcome pathways (AOPs) are to become the new standard predictive tool for chemical risk assessment in ecotoxicology, substantial effort will be required to construct AOPs for exposures to different chemical groups making sure that we have enough representation of different test species to adequately cover the tree of life. This should include plants, which have not yet received sufficient attention from the AOP community. In this chapter, we present Chlamydomonas reinhardtii, a unicellular green microalga that serves as a model organism for, among others, photosynthesis and the circadian rhythm. We review C. reinhardtii as a model organism for ecotoxicology and summarize different publicly available genomic and OMICS resources for the species. We also present a new putative AOP for C. reinhardtii exposed to silver, constructed based on integration of transcriptomic and proteomic datasets. Finally, we present the current state-of-the-art bioinformatics procedures that can be used for constructing AOPs from OMICS type of datasets and evaluate whether the approaches are suitable for C. reinhardtii.


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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Anze Zupanic
    • 1
  • Smitha Pillai
    • 1
  • Diana Coman Schmid
    • 1
  • Kristin Schirmer
    • 1
    • 2
    • 3
  1. 1.Department of Environmental ToxicologyEawag, Swiss Federal Institute for Aquatic Science and TechnologyDübendorfSwitzerland
  2. 2.EPF Lausanne, School of Architecture, Civil and Environmental EngineeringLausanneSwitzerland
  3. 3.Department of Environmental Systems ScienceETH ZürichZürichSwitzerland

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