Anchoring metabolic changes to phenotypic effects in the chlorophyte Scenedesmus vacuolatus under chemical exposure

Sans-Piché, Frédéric; Kluender, Christina; Altenburger, Rolf; Schmitt‐Jansen, Mechthild

doi:10.1016/j.marenvres.2009.12.004

Cited by 13 publications

(17 citation statements)

References 10 publications

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“…vacuolatus under PNA exposure. We found a critical threshold value estimated for PNA in this study that was 1.75-fold lower than the reported threshold value of 0.228 μmol L –1 PNA exposure that caused a response on the algae metabolome level . Our results thus, by contrast, suggest that the effect might alternatively be interpreted as a gradual change in an adverse outcome pathway.…”

Section: Discussioncontrasting

confidence: 91%

“…Sans-Piché et al suggested distinguishing pharmacological effects at the metabolism level (0.00713–0.228 μmol L –1 ) from toxic effects at the phenotypic level (0.45–1.82 μmol L –1 ) by anchoring concentration changes of metabolites to effects on photosynthesis and growth of S. vacuolatus under PNA exposure.…”

Section: Discussionmentioning

confidence: 99%

“…Sans-Pichéet al 37 suggested distinguishing pharmacological effects at the metabolism level (0.00713−0.228 μmol L −1 ) from toxic effects at the phenotypic level (0.45−1.82 μmol L −1 ) by anchoring concentration changes of metabolites to effects on photosynthesis and growth of S. vacuolatus under PNA exposure. We found a critical threshold value estimated for PNA in this study that was 1.75-fold lower than the reported threshold value of 0.228 μmol L −1 PNA exposure that caused a response on the algae metabolome level.…”

Section: Environmental Science and Technologymentioning

confidence: 99%

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Time-Dependent Effects in Algae for Chemicals with Different Adverse Outcome Pathways: A Novel Approach

Vogs

Altenburger

2016

Environ. Sci. Technol.

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Chemicals affect unicellular algae as a result of toxicokinetic and toxicodynamic processes. The internal concentration of chemicals in algae cells typically reaches equilibrium within minutes, while damage cumulatively increases over hours. The time gap between the steady state of internal exposure and damage development is thus suspected to span up to hours, mainly due to toxicodynamic processes. The quantification of rate-limited toxicodynamic processes, aggregated as a progressive effect from an initiating molecular event through biological key events toward the adverse outcome on algae growth inhibition, might discriminate between different adverse outcome pathways (AOPs). To support our hypothesis, we selected six chemicals according to different physicochemical properties and three distinctly dissimilar AOPs. The time courses of internal concentrations were linked to the observed affected Scenedesmus vacuolatus growth using toxicokinetic-toxicodynamic modeling. Effects on cell growth were explained by effect progression and not by the time to reach internal equilibrium concentration. Effect progression rates ranged over 6 orders of magnitude for all chemicals but varied by less than 1 order of magnitude within similar AOP (photosystem II inhibitors > reactive chemicals > lipid biosynthesis inhibitors), meaning that inhibitors of photosystem II advance an effect toward algae growth fastest compared to reactive chemicals and inhibitors of lipid biosynthesis.

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Section: Discussioncontrasting

confidence: 91%

Section: Discussionmentioning

confidence: 99%

Section: Environmental Science and Technologymentioning

confidence: 99%

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Time-Dependent Effects in Algae for Chemicals with Different Adverse Outcome Pathways: A Novel Approach

Vogs

Altenburger

2016

Environ. Sci. Technol.

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“…Hydrophilic and lipophilic GC‐MS chromatograms were processed separately with XCMS in the R software (Ver 3.0.1 for Windows), using parameters from Sans‐Piché et al . The XCMS program performs peak finding, alignment, and peak picking of mass spectral features, resulting in a data matrix on the basis of m/z fragments per retention time rather than individual compounds.…”

Section: Methodsmentioning

confidence: 99%

High‐throughput concentration–response analysis for omics datasets

Smetanová

Riedl

Zitzkat

et al. 2015

Enviro Toxic and Chemistry

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Omics-based methods are increasingly used in current ecotoxicology. Therefore, a large number of observations for various toxic substances and organisms are available and may be used for identifying modes of action, adverse outcome pathways, or novel biomarkers. For these purposes, good statistical analysis of toxicogenomic data is vital. In contrast to established ecotoxicological techniques, concentration-response modeling is rarely used for large datasets. Instead, statistical hypothesis testing is prevalent, which provides only a limited scope for inference. The present study therefore applied automated concentration-response modeling for 3 different ecotoxicotranscriptomic and ecotoxicometabolomic datasets. The modeling process was performed by simultaneously applying 9 different regression models, representing distinct mechanistic, toxicological, and statistical ideas that result in different curve shapes. The best-fitting models were selected by using Akaike's information criterion. The linear and exponential models represented the best data description for more than 50% of responses. Models generating U-shaped curves were frequently selected for transcriptomic signals (30%), and sigmoid models were identified as best fit for many metabolomic signals (21%). Thus, selecting the models from an array of different types seems appropriate, because concentration-response functions may vary because of the observed response type, and they also depend on the compound, the organism, and the investigated concentration and exposure duration range. The application of concentration-response models can help to further tap the potential of omics data and is a necessary step for quantitative mixture effect assessment at the molecular response level.

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“…12 Furthermore, a metabolomics approach studying the effect of PNA on Scenedesmus vacuolatus reported first effects on metabolite concentrations for exposures of 0.007− 0.228 μmol L −1 and growth-related effects from 0.456 μmol L −1 on. 37 Thus, the chronic exposure concentration in this study is still 2−3 orders of magnitude lower than the concentrations triggering first effects on the metabolome level. In comparison to single species tests, median efficacies detected for periphyton communities were with 4−6 μmol L −1 about one magnitude higher than for single species tests.…”

Section: Environmental Science and Technologymentioning

confidence: 64%

Pollution-Induced Community Tolerance To Diagnose Hazardous Chemicals in Multiple Contaminated Aquatic Systems

Rotter

Gunold

Mothes

et al. 2015

Environ. Sci. Technol.

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Aquatic ecosystems are often contaminated with large numbers of chemicals, which cannot be sufficiently addressed by chemical target analyses. Effect-directed analysis (EDA) enables the identification of toxicants in complex contaminated environmental samples. This study suggests pollution-induced community tolerance (PICT) as a confirmation tool for EDA to identify contaminants which actually impact on local communities. The effects of three phytotoxic compounds local periphyton communities, cultivated at a reference (R-site) and a polluted site (P-site), were assessed to confirm the findings of a former EDA study on sediments. The sensitivities of R- and P-communities to prometryn, tributyltin (TBT) and N-phenyl-2-naphthylamine (PNA) were quantified in short-term toxicity tests and exposure concentrations were determined. Prometryn and PNA concentrations were significantly higher at the P-site, whereas TBT concentrations were in the same range at both sites. Periphyton communities differed in biomass, but algal class composition and diatom diversity were similar. Community tolerance of P-communities was significantly enhanced for prometryn, but not for PNA and TBT, confirming site-specific effects on local periphyton for prometryn only. Thus, PICT enables in situ effect confirmation of phytotoxic compounds at the community level and seems to be suitable to support confirmation and enhance ecological realism of EDA.

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Anchoring metabolic changes to phenotypic effects in the chlorophyte Scenedesmus vacuolatus under chemical exposure

Cited by 13 publications

References 10 publications

Time-Dependent Effects in Algae for Chemicals with Different Adverse Outcome Pathways: A Novel Approach

Time-Dependent Effects in Algae for Chemicals with Different Adverse Outcome Pathways: A Novel Approach

High‐throughput concentration–response analysis for omics datasets

Pollution-Induced Community Tolerance To Diagnose Hazardous Chemicals in Multiple Contaminated Aquatic Systems

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