First assessment of Rare Earth Element organotropism in Solea solea in a coastal area: The West Gironde Mud Patch (France).

Few studies exist on concentration and internal distribution of Rare Earth Elements (REEs) in marine fishes. REEs organotropism was determined in common sole (Solea solea) from the West Gironde Mud Patch (WGMP; N-E Atlantic Coast, France). The highest ∑REEs concentrations occurred in liver (213 ± 49.9 µg kg-1 DW) and gills (119 ± 77.5 µg kg-1 DW) followed by kidneys (57.7 ± 25.5 µg kg-1 DW), whereas the lowest levels were in muscles (4.53 ± 1.36 µg kg-1 DW) of Solea solea. No significant age- or sex-related differences were observed. The organotropism varied among groups of REEs. Light and heavy REEs preferentially accumulated in liver and gills, respectively. All considered organs showed different normalized REEs patterns, suggesting differences in internal distribution processes between organs. Further work should address: (1) baseline levels worldwide, and (2) factors controlling uptake and organ-specific concentration of REEs.

Impact of confinement and food access restriction on the three-spined stickleback (Gasterosteus aculeatus, L.) during caging: a multi-biomarker approach.

Caging is an active biomonitoring strategy that employs a sentinel species, sometimes a species naturally absent from the studied site, in the surveillance of water bodies to verify whether biota may be at risk. The main advantage of caging is the possibility to standardize several biotic and abiotic parameters. However, little knowledge is available about the effects of confinement on physiology and metabolism of caged organisms. The aim of this study is to characterize confinement and food access restriction effects, induced via caging experiments using a multi-biomarker approach (biometric data, immunity, antioxidant, metabolic detoxication, and digestive enzymes). The study has been undertaken using the same experiment conducted in ecosystem conditions using three-spined stickleback (Gasterosteus aculeatus) during two different periods: one in April, corresponding to breeding season, and the other in October, outside breeding season. Fifteen fish were maintained for 21 days in different conditions (caged or uncaged and with or without food supply). The main result was that confinement stress had little impact on the biological markers of sticklebacks. However, the stressors seemed to increase the negative effects of food restriction on these biomarkers, when sticklebacks needed more energy, that is, during their breeding period. Outside breeding period, most investigated biomarkers were not impacted by caging. This study showed a way to specify the conditions of application and interpretation of biomarkers during active monitoring to ensure an effective, reliable diagnosis of water body quality.

Modelling the effect of season, sex, and body size on the three-spined stickleback, Gasterosteus aculeatus, cellular innate immunomarkers: A proposition of laboratory reference ranges.

Innate immunomarkers reflect both environmental contamination and fish health status, providing useful information in environmental risk assessment studies. Nevertheless, the lack of knowledge about the effect of confounding factors can lead to data misinterpretation and false diagnoses. The aim of this study was to evaluate the impact of three confounding factors (season, sex and body size) on three-spined stickleback innate immunomarkers in laboratory conditions. Results shown strong seasonal variations in stickleback innate immunomarkers, with higher immune capacities in late winter-early spring and a disturbance during the spawning period in late spring-summer. Sex and body size had a season dependant effect on almost all tested immunomarkers. Reference ranges were established in laboratory-controlled conditions (i.e. laboratory reference ranges) and compared with data obtained from in vivo chemical expositions. The predictive power of the statistical model depended on the immunomarker, but the control data of the in vivo experiments, realized in same laboratory conditions, were globally well include in the laboratory reference ranges. Moreover, some statistical effects of the in vivo exposures were correlated with an augmentation of values outside the reference ranges, indicating a possible harmful effect for the organisms. As confounding factors influence is a major limit to integrate immunomarkers in biomonitoring programs, modelling their influence on studied parameter may help to better evaluated environmental contaminations.