A sensitive biomarker for the detection of aquatic contamination based on behavioral assays using zebrafish larvae

Nüßer, Leonie; Skulovich, Olya; Hartmann, Sarah; Seiler, Thomas‐Benjamin; Cofalla, Catrina; Schuettrumpf, Holger; Hollert, Henner; Salomons, Elad; Ostfeld, Avi

doi:10.1016/j.ecoenv.2016.07.033

Cited by 38 publications

(6 citation statements)

References 38 publications

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“…Currently, it is not possible to compare other studies of the same purpose. Differing from BEWS's propose of detecting low-concentration toxic substances by evaluating the behavior changes of the organisms exposed to it [8,9,12,13], the model of this work is dedicated to indicate the EMF exposure that is near the reference-level field intensity. The behavioral characteristics of zebrafish are selected as the objects for analysis and evaluation, while this study adopted the RBF-SVM model, which is different from existing machine learning models [13] or other statistical models [8][9][10].…”

Section: Discussionmentioning

confidence: 99%

“…They detect the presence of toxic substances by continuously tracking the physiological performance of organisms [6] and could provide more reliable predictions of substance toxicity than the chemical concentration alone, especially in case of mixtures of substances [7]. The fast development of a fish tracking system supports enhancing the ability of biological monitors-or more specifically, a biological early warning system (BEWS)-to observe and sense the behavioral response of bio-organisms [8][9][10][11][12][13]. The tracking systems of BEWS could provide abundant and explicit information for the behavior and movement analysis, contributing to the satisfying result of water quality assessment when the concentration of pollutants in the water is relatively low.…”

Section: Introductionmentioning

confidence: 99%

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Indication of Electromagnetic Field Exposure via RBF-SVM Using Time-Series Features of Zebrafish Locomotion

Tsang

Kong

et al. 2020

Sensors

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This paper introduces a novel model based on support vector machine with radial basis function kernel (RBF-SVM) using time-series features of zebrafish (Danio rerio) locomotion exposed to different electromagnetic fields (EMFs) to indicate the corresponding EMF exposure. A group of 14 adult zebrafish was randomly divided into two groups, 7 in each group; the fish of each group have the novel tank test under a sham or real magnetic exposure of 6.78 MHz and about 1 A/m. Their locomotion in the tests was videotaped to convert into the x, y coordinate time-series of the trajectories for reforming time-series matrices according to different time-series lengths. The time-series features of zebrafish locomotion were calculated by the comparative time-series analyzing framework highly comparative time-series analysis (HCTSA), and a limited number of the time-series features that were most relevant to the EMF exposure conditions were selected using the minimum redundancy maximum relevance (mRMR) algorithm for RBF-SVM classification training. Before this, ambient environmental parameters (AEPs) had little effect on the locomotion performance of zebrafish processed by the empirical method, which had been quantitatively verified by regression using another group of 14 adult zebrafish. The results have demonstrated that the purposed model is capable of accurately indicating different EMF exposures. All classification accuracies can be 100%, and the classification precision of several classifiers based on specific parameters and feature sets with specific dimensions can reach higher than 95%. The speculative reason for this result is that the specified EMF has affected the zebrafish neural aspect, which is then reflected in their behaviors. The outcomes of this study have provided a new indication model for EMF exposures and provided a reference for the investigation of the impact of EMF exposure.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Indication of Electromagnetic Field Exposure via RBF-SVM Using Time-Series Features of Zebrafish Locomotion

Tsang

Kong

et al. 2020

Sensors

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“…For the rst 60 min, pure water was delivered, then a Cd solution was introduced into the chamber. Based on our previous research, the 24 h median lethal concentration (LC50-24 h) of Cd to zebra sh was 7 mg/L [20]. Five concentration gradients (0.1 TU, 0.25 TU, 0.5 TU, 1 TU, and 2 TU) were set up to evaluate the effect of Cd on the swimming behavior of zebra sh.…”

Section: Measurement Intervals and Cadmium Concentrationsmentioning

confidence: 99%

Use of acoustic stimulus to recognize abnormal zebrafish behavior in water quality warning systems

Huang

武

Yuetong

et al. 2022

Preprint

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Fish behavioral responses have impeded the development of water quality warning technology due to high false alarm rates. The causes of abnormal behavior in fish such as zebrafish (Danio rerio), are often unknown. In this study, acoustic stimuli were tested in recognizing abnormal zebrafish behavior under cadmium exposure. Acoustic startle response sensitivity curves were obtained and analyzed to determine the loudness and frequencies at which the zebrafish responded to the stimuli. The standard stimulus duration was 30 s, and the interval between two stimulations was 20 min. It was found that Cd exposure can weaken zebrafish acoustic startle responses, particularly at 100 Hz and 97 dB, and was significantly correlated with the reduction of the response. After 30 min, the average rate of swimming activity decreased to 24% in 0.25 TU and to 17.6% in 2 TU exposure. This indicates that the acoustic stimulation elicits a response that could help determine a false alarm. Based on this data, we designed a model for testing the abnormal behavior. This study can offer insights for improving the accuracy and stability of water quality warning systems, and is beneficial to the development and application of early-warning systems with biological monitoring of water quality.

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“…OECD TG 229; OECD TG 234). With consistency in endpoint assessment, zebrafish has been actively used in toxicity investigation that ranges from effects on development 9 , mutations and genotoxic effects 10 , behavioral alterations 11 to reproduction 12–14 . However, the obtained information on the functionality and the disruption of the endocrine system is limited to EDCs affecting plasma VTG content, fertility and fecundity, and gonad health.…”

Section: Introductionmentioning

confidence: 99%

A combined FSTRA-shotgun proteomics approach to identify molecular changes in zebrafish upon chemical exposure

Ayobahan

Eilebrecht

Kotthoff

et al. 2019

Sci Rep

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The fish short-term reproduction assay (FSTRA) is a common in vivo screening assay for assessing endocrine effects of chemicals on reproduction in fish. However, the current reliance on measures such as egg number, plasma vitellogenin concentration and morphological changes to determine endocrine effects can lead to false labelling of chemicals with non-endocrine modes- of-action. Here, we integrated quantitative liver and gonad shotgun proteomics into the FSTRA in order to investigate the causal link between an endocrine mode-of-action and adverse effects assigned to the endocrine axis. Therefore, we analyzed the molecular effects of fadrozole-induced aromatase inhibition in zebrafish ( Danio rerio) . We observed a concentration-dependent decrease in fecundity, a reduction in plasma vitellogenin concentrations and a mild oocyte atresia with oocyte membrane folding in females. Consistent with these apical measures, proteomics revealed a significant dysregulation of proteins involved in steroid hormone secretion and estrogen stimulus in the female liver. In the ovary, the deregulation of estrogen synthesis and binding of sperm to zona pellucida were among the most significantly perturbed pathways. A significant deregulation of proteins targeting the transcriptional activity of estrogen receptor ( esr1 ) was observed in male liver and testis. Our results support that organ- and sex-specific quantitative proteomics represent a promising tool for identifying early gene expression changes preceding chemical-induced adverse outcomes. These data can help to establish consistency in chemical classification and labelling.

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A sensitive biomarker for the detection of aquatic contamination based on behavioral assays using zebrafish larvae

Cited by 38 publications

References 38 publications

Indication of Electromagnetic Field Exposure via RBF-SVM Using Time-Series Features of Zebrafish Locomotion

Indication of Electromagnetic Field Exposure via RBF-SVM Using Time-Series Features of Zebrafish Locomotion

Use of acoustic stimulus to recognize abnormal zebrafish behavior in water quality warning systems

A combined FSTRA-shotgun proteomics approach to identify molecular changes in zebrafish upon chemical exposure

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