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Assessment of typical pollutants in waterborne by combining active biomonitoring and integrated biomarkers response
Authors:He Xiuting  Nie Xiangping  Wang Zhaohui  Cheng Zhang  Li Kaibin  Li Guiying  Hung Wong Ming  Liang Ximei  Tsui Martin T K
Institution:a Institute of Hydrobiology, Jinan University, Guangzhou 510632, China
b Pearl River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou 510380, China
c Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Wushan Street, Tianhe District, Guangzhou 510640, China
d Croucher Institute for Environmental Sciences and Department of Biology, Hong Kong Baptist University, Kowloon Tong, Hong Kong, China
e Department of Ecology, Evolution and Behavior, University of Minnesota, St. Paul, MN 55108, USA
Abstract:Organic pollutants, heavy metals and pharmaceuticals are continuously dispersed into the environment and have become a relevant environmental emerging concern. In this study, a situ assay to assess ecotoxicity of mixed pollutants was carried out in three typical sites with different priority contaminations in Guangzhou, China. Chemical analysis of organic pollutants, metals and quinolones in three exposure sites were determined by GC-ECD/MS, ICP-AES and HPLC, as well as, a combination of biomarkers including: ethoxyresorufin O-deethylase (EROD); aminopyrine N-demethylase (APND); erythromycin N-demethylase (ERND); glutathione S-transferase (GST); malondialdehyde (MDA); CYP1A; and P-glycoprotein (P-gp) mRNA expressions were evaluated in Mugilogobius abei. Results of chemical analysis in sediment samples revealed that the dominant chemicals were organic pollutants and heavy metals in Huadi River while quinolones in the pond. Bioassays indicated that differences among sites were in relation to some specific biomarkers. EROD and GST activities significantly increased after 72 h in situ exposure, but no difference was observed among the exposure sites. APND, ERND and MDA exhibited dissimilar change patterns for different priority pollutants. CYP1A and P-gp mRNA expressions were significantly induced at all exposure sites, whilst P-gp activity was typical for S2 with the highest levels of quinolones. The molecular biomarkers seemed to be more susceptible than enzyme activities. These assays confirmed the usefulness of applying a large array of various combined biomarkers at different levels, in assessing the toxic effects of mixed pollutants in a natural aquatic environment.
Keywords:Ecotoxicology  Mugilogobius abei  P450 enzyme activities  Antioxidant enzyme  CYP1A gene  P-glycoprotein gene
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