A new approach to toxicity testing in Daphnia magna: application of high throughput FT-ICR mass spectrometry metabolomics View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2009-03

AUTHORS

Nadine S. Taylor, Ralf J. M. Weber, Andrew D. Southam, Tristan G. Payne, Olga Hrydziuszko, Theodoros N. Arvanitis, Mark R. Viant

ABSTRACT

Currently there is a surge of interest in exploiting toxicogenomics to screen the toxicity of chemicals, enabling rapid and accurate categorisation into classes of defined mode-of-action (MOA), and prioritising chemicals for further testing. Direct infusion FT-ICR mass spectrometry-based metabolomics can provide a sensitive and unbiased analysis of metabolites in only 15 mins and therefore has considerable potential for chemical screening. The water flea, Daphnia magna, is an OECD test species and is utilised internationally for toxicity testing. However, no metabolomics studies of this species have been reported. Here we optimised and evaluated the effectiveness of FT-ICR mass spectrometry metabolomics for toxicity testing in D. magna. We confirmed that high-quality mass spectra can be recorded from as few as 30 neonates (<24 h old; 224 μg dry mass) or a single adult daphnid (301 μg dry mass). An OECD 24 h acute toxicity test was conducted with neonates at copper concentrations of 0, 5, 10, 25, 50 μg l−1. A total of 5447 unique peaks were detected reproducibly, of which 4768 were assigned at least one empirical formula and 1017 were putatively identified based upon accurate mass measurements. Significant copper-induced changes to the daphnid metabolome, consistent with the documented MOA of copper, were detected thereby validating the approach. In addition, N-acetylspermidine was putatively identified as a novel biomarker of copper toxicity. Collectively, our results highlight the excellent sensitivity, reproducibility and mass accuracy of FT-ICR mass spectrometry, and provide strong evidence for its applicability to high-throughput screening of chemical toxicity in D. magna. More... »

PAGES

44-58

References to SciGraph publications

  • 2007-12. Seven Golden Rules for heuristic filtering of molecular formulas obtained by accurate mass spectrometry in BMC BIOINFORMATICS
  • 2006-07. Dynamic range of mass accuracy in LTQ orbitrap hybrid mass spectrometer in JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY
  • 2008-03. Assessment of PLSDA cross validation in METABOLOMICS
  • 2007-12. Improved classification accuracy in 1- and 2-dimensional NMR metabolomics data using the variance stabilising generalised logarithm transformation in BMC BIOINFORMATICS
  • 2008-02. New surveyor tools for charting microbial metabolic maps in NATURE REVIEWS MICROBIOLOGY
  • 2008-06. Towards high-throughput metabolomics using ultrahigh-field Fourier transform ion cyclotron resonance mass spectrometry in METABOLOMICS
  • 2003-02. The Combined Effects of Hardness, pH, and Dissolved Organic Carbon on the Chronic Toxicity of Zn to D. magna: Development of a Surface Response Model in ARCHIVES OF ENVIRONMENTAL CONTAMINATION AND TOXICOLOGY
  • 2008-08. Metabolomics approach for determining growth-specific metabolites based on Fourier transform ion cyclotron resonance mass spectrometry in ANALYTICAL AND BIOANALYTICAL CHEMISTRY
  • 2002-02. Metabonomics: a platform for studying drug toxicity and gene function in NATURE REVIEWS DRUG DISCOVERY
  • 2007-09. Proposed minimum reporting standards for chemical analysis in METABOLOMICS
  • 2005-04. NMR-derived developmental metabolic trajectories: an approach for visualizing the toxic actions of trichloroethylene during embryogenesis in METABOLOMICS
  • 2008-02. Systems biology meets stress ecology: linking molecular and organismal stress responses in Daphnia magna in GENOME BIOLOGY
  • Journal

    TITLE

    Metabolomics

    ISSUE

    1

    VOLUME

    5

    Author Affiliations

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s11306-008-0133-3

    DOI

    http://dx.doi.org/10.1007/s11306-008-0133-3

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1034002251


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