Literature DB >> 25278179

Energy-based modelling to assess effects of chemicals on Caenorhabditis elegans: a case study on uranium.

Benoit Goussen1, Rémy Beaudouin2, Morgan Dutilleul3, Adeline Buisset-Goussen3, Jean-Marc Bonzom3, Alexandre R R Péry2.   

Abstract

The ubiquitous free-living nematode Caenorhabditis elegans is a powerful animal model for measuring the evolutionary effects of pollutants which is increasingly used in (eco) toxicological studies. Indeed, toxicity tests with this nematode can provide in a few days data on the whole life cycle. These data can be analysed with mathematical tools such as toxicokinetic-toxicodynamic modelling approaches. In this study, we assessed how a chronic exposure to a radioactive heavy metal (uranium) affects the life-cycle of C. elegans using a mechanistic model. In order to achieve this, we exposed individuals to a range of seven concentrations of uranium. Growth and reproduction were followed daily. These data were analysed with a model for nematodes based on the Dynamic Energy Budget theory, able to handle a wide range of plausible biological parameters values. Parameter estimations were performed using a Bayesian framework. Our results showed that uranium affects the assimilation of energy from food with a no-effect concentration (NEC) of 0.42 mM U which would be the threshold for effects on both growth and reproduction. The sensitivity analysis showed that the main contributors to the model output were parameters linked to the feeding processes and the actual exposure concentration. This confirms that the real exposure concentration should be measured accurately and that the feeding parameters should not be fixed, but need to be reestimated during the parameter estimation process.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Bayesian; Caenorhabditis elegans; Dynamic Energy Budget; Numerical behaviour; Uranium

Mesh:

Substances:

Year:  2014        PMID: 25278179     DOI: 10.1016/j.chemosphere.2014.09.006

Source DB:  PubMed          Journal:  Chemosphere        ISSN: 0045-6535            Impact factor:   7.086


  6 in total

1.  Toxicodynamic modeling of zebrafish larvae to metals using stochastic death and individual tolerance models: comparisons of model assumptions, parameter sensitivity and predictive performance.

Authors:  Yongfei Gao; Jianfeng Feng; Lin Zhu
Journal:  Ecotoxicology       Date:  2017-02-03       Impact factor: 2.823

2.  Incorporating Suborganismal Processes into Dynamic Energy Budget Models for Ecological Risk Assessment.

Authors:  Cheryl A Murphy; Roger M Nisbet; Philipp Antczak; Natàlia Garcia-Reyero; Andre Gergs; Konstadia Lika; Teresa Mathews; Erik B Muller; Diane Nacci; Angela Peace; Christopher H Remien; Irvin R Schultz; Louise M Stevenson; Karen H Watanabe
Journal:  Integr Environ Assess Manag       Date:  2018-06-30       Impact factor: 3.084

3.  An individual-based model of zebrafish population dynamics accounting for energy dynamics.

Authors:  Rémy Beaudouin; Benoit Goussen; Benjamin Piccini; Starrlight Augustine; James Devillers; François Brion; Alexandre R R Péry
Journal:  PLoS One       Date:  2015-05-04       Impact factor: 3.240

4.  Adaptation costs to constant and alternating polluted environments.

Authors:  Morgan Dutilleul; Denis Réale; Benoit Goussen; Catherine Lecomte; Simon Galas; Jean-Marc Bonzom
Journal:  Evol Appl       Date:  2017-11-10       Impact factor: 5.183

5.  Toxicity-based toxicokinetic/toxicodynamic assessment of bioaccumulation and nanotoxicity of zerovalent iron nanoparticles in Caenorhabditis elegans.

Authors:  Ying-Fei Yang; Yi-Jun Lin; Chung-Min Liao
Journal:  Int J Nanomedicine       Date:  2017-06-26

6.  Integrated presentation of ecological risk from multiple stressors.

Authors:  Benoit Goussen; Oliver R Price; Cecilie Rendal; Roman Ashauer
Journal:  Sci Rep       Date:  2016-10-26       Impact factor: 4.996

  6 in total

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