A Linear Model to Predict Chronic Effects of Chemicals on Daphnia magna
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Chronic toxicity data for Daphnia magna are information requirements in the context of regulations on chemical safety. This paper proposes a linear model for the prediction of chemically-induced effects on the reproductive output of D. magna. This model is based on data retrieved from the Japanese Ministry of Environment database and it predicts chronic effects as a function of acute toxicity data. The proposed model proved to be able to predict chronic toxicities for chemicals not used in the training set. Our results suggest that experiments involving chronic exposure to chemicals could be reduced thanks to the proposed model.
KeywordsDaphnia magna Chronic toxicity Acute toxicity Predictive model OECD (Q)SAR Toolbox
This work was supported by the National Research Agency (ANR) within the project AMORE (Contract number: 2009 CESA 15 01) and by the French Ministry in charge of Ecology and Sustainable Development, within the framework of Programmes 189 and 190.
- EC (2006) Regulation No 1907/2006 of the European parliament and of the council of 18 December 2006 concerning the registration, evaluation, authorisation and restriction of chemicals (REACH), establishing a European chemicals agency, amending directive 1999/45/EC and repealing council regulation (EEC) no 793/93 and commission regulation (EC) no 1488/94 as well as council directive 76/769/EEC and commission directives 91/155/EEC, 93/67/EEC, 93/105/EC and 2000/21/EC, The European parliament and the council of the European union. Available at http://www.eur-lex.europa.eu/LexUriServ/site/en/oj/2006/l_396/l_39620061230en00010849.pdf
- MoE (2010) Japan ecotoxicity tests data (version dated March 2010). Available at http://www.env.go.jp/chemi/sesaku/02e.pdf
- OECD (1984) Daphnia sp. acute immobilisation test and reproduction test, part 1: 24 h EC50 acute immobilisation test available at http://www.oecd.org/dataoecd/17/21/1948249.pdf
- OECD (1998) Daphnia magna reproduction test available at http://www.oecd.org/dataoecd/17/63/1948277.pdf
- OECD (2010) OECD (Q)SAR application Toolbox. Software available from the OECD website http://www.oecd.org/document/54/0,3343,en_2649_34379_42923638_1_1_1_1,00.html
- R Development Core Team (2010) R: a language and environment for statistical computing, Vienna, Austria. R Development Core Team, Vienna. Available at http://www.R-project.org