Spatial distribution and activity patterns as welfare indicators in response to water quality changes in European sea bass, Dicentrarchus labrax
Introduction
Fish production has expanded importantly during the last decades, both because of the world’s diminishing natural wild resources and the increase in demand for fish products (FAO, 2018). Aquaculture represented 53 % of the total fish production (including non-food uses) in 2016 (FAO, 2018) and is now recognized as a major food production industry. Thus, as well as for terrestrial farming industry, concerns about sustainability, environmental issues and animal welfare in aquaculture are increasing (Conte, 2004; Ashley, 2007; Martins et al., 2010; Martins et al., 2012; Hixson, 2014; FAO, 2018; Lembo et al., 2019). It is common that under aquaculture conditions, and in every fish husbandry system, variations of water quality variables such as temperature, pH, oxygen (O2), carbon dioxide (CO2) or Total Ammonia Nitrogen (TAN) concentrations occur. Such variations when they reach a certain threshold, depending on the species preferendum, could be considered as stress factors (stressor) and therefore deleterious for fish health and welfare. The prolonged exposure to stressors, such as degraded water quality may mobilize fish energy for coping with the stressor hereby decreasing the available energy allocated to growth and reproduction, or directly causes death if the magnitude of stress is too high (Barton, 2002; Sneddon et al., 2016). Therefore, it can finally affect fish production and has economic consequences for farmers (Conte, 2004; Lembo et al., 2019).
Exposure to stress factors triggers a cascade of biological events within an organism to cope with these factors. In fish, the hypothalamo-pituitary-interrenal axis (HPI) is involved in the production and release of cortisol into circulation acting as an activator of the physiological and behavioural responses (Sumpter, 1997; Sadoul and Vijayan, 2016; Schreck and Tort, 2016). Among the previously cited variables, oxygen and ammonia concentrations are known to activate the HPI axis when they vary, leading to the stimulation of cortisol release and the triggering of behavioural adaptive responses (Knoph and Olsen, 1994; van Raaij et al., 1996; Espmark and Baeverfjord, 2009).
Thus, behavioural measurements have proven to be sensitive indicators of the complex existing biochemical and physiological changes that occur in response to stress (Schreck, 1990; Scherer, 1992; Schreck et al., 1997; Martins et al., 2012). Behaviours, such as changes in food-anticipatory activity, feed intake, ventilation rate, individual and group swimming activities are commonly used as welfare indicators (Huntingford et al., 2006; Martins et al., 2012; Huntingford and Kadri, 2014; Carbonara et al., 2015; Carbonara et al., 2019). Group swimming behaviour is defined as the spatial distribution and swimming activity of the group of fish held within an aquaculture production unit and it covers shoal structure, the horizontal and vertical distribution of the group, their swimming speed and direction (Martins et al., 2012). For instance, exposure to negative stimuli, such as poor water quality, is known to lead to rapid escape movements (Stien et al., 2007; Bratland et al., 2010) or to alter group cohesion (Domenici et al., 2002; Espmark and Baeverfjord, 2009; Sadoul et al., 2014; Sadoul et al., 2017). Thus, group swimming behaviour appears to be a sensitive welfare indicator even if it is still lacking calibration efforts to be precisely translated into an operational welfare indicator; nevertheless some examples exist (Papandroulakis et al., 2014; Pettersen et al., 2014). Moreover, the appraisal of negative or positive stimuli and, hence, the psychological dimension of stress as defined for fish by Galhardo and Oliveira (2009) is seldom tackled in welfare research. There exists however a complementary measure which is the individual behavioural responses to novel environment and in particular the novel tank diving test which is worldwide used along with the measure of stereotypies, such as thigmotaxis to assess anxiety in zebrafish (Danio rerio) in ecotoxicology and pharmacology research (Levin et al., 2007; Egan et al., 2009; Vignet et al., 2014; Macaulay et al., 2015; Alfonso et al., 2019a). In further details, the novel tank diving test was validated as a tool for evaluating anxiety by using drugs, such as nicotine. Short exposure to nicotine is known to reduce anxiety in fish, through its action on nicotinic acetylcholine receptors as demonstrated by the use of specific inhibitors (Levin et al., 2007; Bencan & Levin, 2008). In the context of novel tank diving test, nicotine-exposure (bathing) has been shown to be anxiolytic by triggering change in fish space utilization, such as higher time spent in the top area of the novel tank which translate a relief from bottom dwelling behaviour that fish would express under predator threat for example. The novel tank diving test could thus be a helpful non-invasive tool to monitor farmed fish anxiety state post stress exposure hereby assessing psychological stress and contributing to the assessment of positive or negative emotions and, hence better welfare state determination.
Overall, the objectives of the present study were to further contribute to the establishment of behavioural welfare indicators including the psychological dimension of stress in a model marine teleost in response to different water quality stressors. Firstly, the novel tank diving test outcome was validated as a behavioural indicator of anxiety in European sea bass Dicentrarchus labrax, using nicotine as an anxiolytic reference drug. Secondly, behavioural responses of fish group in response to a novel environment under acute and severe water quality deterioration, including Total Ammonia Nitrogen (High TAN) increase (18 mg.L-1), Hyperoxia (200 % O2 saturation) and Hypoxia (20 % O2 saturation) were evaluated along with cortisol measurement. Finally, individual behaviour expressed following the same water quality exposures were assessed using the novel tank diving test translated from ecotoxicology studies.
Section snippets
Material and methods
Experiments were authorized by ethics committee agreement APAFIS#7098 and all procedures involving animals were in accordance with the ethical standards of the institution and followed the recommendations of Directive 2010/63/EU.
Results
Overall, 168 fish were used for the different experiments: 48 for the validation of the novel tank diving test (body weight: 50.8 ± 0.6 g, standard length: 15.4 ± 0.9 cm, n = 24 per group); 120 for the stress condition exposures (51 ± 1 g, 15.3 ± 0.2 cm, n = 30 per group), batches were homogeneous between conditions (F = 1.5, df = 3, p = 0.23 and F = 2, df = 3, p = 0.13 for body weight and standard length respectively).
Discussion
Overall, this study demonstrates that commonly used behavioural tests in neurobiology or ecotoxicology on model species are relevant for evaluating anxiety in a model marine farmed fish and this opens new opportunities to evaluate psychological stress following environmental perturbation. Moreover, we have shown that activity, group cohesion and thigmotaxis are relevant behavioural indicators revealing acute exposures to High Total Ammonia Nitrogen (TAN), Hyperoxia and Hypoxia in a group
Conclusion
In conclusions, our results showed that thigmotaxis, swimming activity, group cohesion and bottom dwelling behaviour are reliable behavioural indicators of health and welfare status in European sea bass. Moreover, this study reports the fact that it is important to distinguish between stressors that could affect survival and psychological stressors such as handling or confinement alone. Besides cortisol, other molecular factors should be sought for to fully understand individual stress
Declaration of Competing Interest
None.
Acknowledgments
This work was supported by the French National Research Agency, project ERANET ANIHWA Win-Fish (ANR-14-ANWA-0008). SA received a PhD grant from Ifremer to conduct this research. Lucette Joassard, Christine Jarc, Didier Leguay, Mathieu Auvinet, Maxime Petitjean and Thibault Geoffroy from Ifremer technical staff are acknowledged for their help in conducting the experiments. We also thank the two anonymous reviewers for helpful comments on the previous version of the manuscript.
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