Agradecimentos: The project SOLUTIONS is supported by the European Union Seventh Framework Programme (FP7-ENV-2013-two-stage Collaborative project) under grant agreement number 603437. Neale was supported by the National Health and Medical Research Council (NHMRC) – European Union Collaborative...

Agradecimentos: The project SOLUTIONS is supported by the European Union Seventh Framework Programme (FP7-ENV-2013-two-stage Collaborative project) under grant agreement number 603437. Neale was supported by the National Health and Medical Research Council (NHMRC) – European Union Collaborative Research Grant (APP1074775). Umbuzeiro and Morales acknowledge Fapesp for research funding (2015/24758-5 and 2013/16956-6); Morales thanks CAPES for PhD fellowship and Shao thanks CSC for a PhD fellowship. Hollert, Seiler and Shao would like to kindly thank Nikon Deutschland GmbH, Promega Corporation and ibs tecnomara GmbH for their contribution to this study as a partner of the Students Lab "Fascinating Environment" at Aachen Biology and Biotechnology (ABBt). We thank Maria König (UFZ), Christin Kühnert (UFZ), Janet Krüger (UFZ), Ana Catarina Almeida (NIVA), José Zwarg (FT/UNICAMP), Letícia Ferreira (FT/UNICAMP) and Elodie Paillard (WatchFrog) for experimental assistance and Nils Klüver (UFZ) for helpful discussions

Abstract: Surface waters can contain a diverse range of organic pollutants, including pesticides, pharmaceuticals and industrial compounds. While bioassays have been used for water quality monitoring, there is limited knowledge regarding the effects of individual micropollutants and their...

Abstract: Surface waters can contain a diverse range of organic pollutants, including pesticides, pharmaceuticals and industrial compounds. While bioassays have been used for water quality monitoring, there is limited knowledge regarding the effects of individual micropollutants and their relationship to the overall mixture effect in water samples. In this study, a battery of in vitro bioassays based on human and fish cell lines and whole organism assays using bacteria, algae, daphnids and fish embryos was assembled for use in water quality monitoring. The selection of bioassays was guided by the principles of adverse outcome pathways in order to cover relevant steps in toxicity pathways known to be triggered by environmental water samples. The effects of 34 water pollutants, which were selected based on hazard quotients, available environmental quality standards and mode of action information, were fingerprinted in the bioassay test battery. There was a relatively good agreement between the experimental results and available literature effect data. The majority of the chemicals were active in the assays indicative of apical effects, while fewer chemicals had a response in the specific reporter gene assays, but these effects were typically triggered at lower concentrations. The single chemical effect data were used to improve published mixture toxicity modeling of water samples from the Danube River. While there was a slight increase in the fraction of the bioanalytical equivalents explained for the Danube River samples, for some endpoints less than 1% of the observed effect could be explained by the studied chemicals. The new mixture models essentially confirmed previous findings from many studies monitoring water quality using both chemical analysis and bioanalytical tools. In short, our results indicate that many more chemicals contribute to the biological effect than those that are typically quantified by chemical monitoring programs or those regulated by environmental quality standards. This study not only demonstrates the utility of fingerprinting single chemicals for an improved understanding of the biological effect of pollutants, but also highlights the need to apply bioassays for water quality monitoring in order to prevent underestimation of the overall biological effect

COORDENAÇÃO DE APERFEIÇOAMENTO DE PESSOAL DE NÍVEL SUPERIOR - CAPES

FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULO - FAPESP

2013/16956-6; 2015/24758-5

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