Naslov
Assessment of river sediment toxicity: combining empirical zebrafish embryotoxicity testing with in silico toxicity characterization

Autori
Babić, Sanja ; Barišić, Josip ; Stipaničev, Draženka ; Repec, Siniša ; Lovrić, Mario ; Malev, Olga ; Martinović-Weigelt, Dalma ; Čož-Rakovac, Rozelindra ; Klobučar, Göran

Izvornik
Science of the total environment (0048-9697) 643 (2018); 435-450

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
toxicity prediction ; Danio rerio ; pharmaceuticals ; pesticides ; QSAR ; histopathology: sediment

Sažetak
Quantitative chemical analyses of 428 organic contaminants (OCs) indicated the presence of 313 OCs in the sediment extracts from Sava River, Croatia. Pharmaceuticals were present in higher concentrations than pesticides thus confirming their increasing threat to freshwater ecosystems. Toxicity evaluation of the sediment extracts from four locations (Jesenice, Rugvica, Galdovo and Lukavec) using zebrafish embryotoxicity test (ZET) accompanied with semi-quantitative histopathological analyses exhibited correlation with cumulative number and concentrations of OCs at the investigated sites (10.05, 15.22, 1.25, and 9.13 µg/g respectively). Toxicity of sediment extracts and sediment was predicted using Toxic unit (TU) approach and persistence, bioaccumulation and toxicity (PBT) ranking. Additionally, influential OCs and genes were identified by graph mining of the prior knowledge informed, site-specific chemical-gene interaction models. Predicted toxicity of sediment extracts (TUext) was similar to the results obtained by ZET and associated histopathology with Rugvica sediment being the most toxic, followed by Jesenice, Lukavec and Galdovo. Sediment TU (TUsed) favoured OCs with low octanol-water partition coefficients like herbicide glyphosate and antibiotics ciprofloxacin and sulfamethazine thus indicating locations containing higher concentrations of these OCs (Galdovo and Rugvica) as the most toxic. Results suggest that comprehensive in silico sediment toxicity predictions advocate providing equal attention to organic contaminants with either very low or very high log Kow.

Izvorni jezik
Engleski

Znanstvena područja
Biologija

POVEZANOST RADA