Biosensor technology for tracking individual challenged fish behaviour has the potential to revolutionize aquaculture, allowing farmers and breeders to orientate selective breeding towards more robust and efficient fish or improve culture conditions for a more sustainable and ethical production. The proposed solution within the AQUAEXCEL2020 EU project is a stand-alone, small and light (1 g) device (AEFishBIT), based on a tri-axial accelerometer and a microprocessor. It is externally attached to the operculum to monitor physical activity by mapping accelerations in x- and y-axes, while operculum beats (z-axis) serve as a measurement of respiratory frequency. The conducted operculum attachment protocol does not show signs of tissue damage or growth impairment in active feeding gilthead sea bream. AEFishBIT offers a wide range of new information based on individual behaviour, allowing to point out the asynchrony of movements as an indirect measure of aging and adaptability to farming environment, as well as to discriminate different coping behaviour (proactive or reactive) of gilthead sea bream challenged with low water oxygen concentrations. AEFishBIT also provides reliable information of disease outcome in fish parasitized with an intestinal myxozoan, emerging as a powerful tool for sensing the quality of the environment and improving selective breeding protocols. ; The study has received funding from the European Union's Horizon 2020 research and innovation programme, GA no 652831 (AQUAEXCEL2020).
The biosensor technology has the potential to revolutionize the aquaculture industry, but the selection of tagging method, operational mode (stand-alone vs. wireless systems) and telemetry technology ultimately depends on living species, life stage and research question. In particular, AEFishBIT is a small and stand-alone device composed of a tri-axial accelerometer, a microprocessor, a battery, and a RFID tag that was designed to be externally attached to the operculum. This unique location serves to provide simultaneous measurements of activity patterns (signals of x- and y-axes) and respiratory frequency (z-axis signal) processed by on-board algorithms. The validity of measurements was initially proved in exercised fish in a swim tunnel respirometer, and its use as a reliable tool for the individual monitoring of whole-organism traits in free-swimming gilthead sea bream was tested then in fish facing a wide range of biotic and abiotic stressors. The impact of the tagging method, based on the use of monel piercing fish tags with a flexible heat shrink polyethylene ring, was also evaluated and no signs of growth impairment, operculum damage or gill lamellae haemorrhage were found 10 days post-tagging. The autonomy of the device was 6 hours of continuous recording with re-programmable lag times and recording schedules of 2 min windows at regular intervals along the experimental period (2-8 days). Such procedure underlined a negative linear correlation between fasting weight loss and operculum breaths, becoming respiratory frequency a reliable indicator of basal metabolic rates. Biosensing signals also highlighted the more continuous physical activity and increased respiratory rates of young fish when comparisons were made between one- and three-year old fish. Also, AEFishBIT measurements evidenced a generalized increase of respiratory frequency during severe hypoxia (2-3 ppm), but the individuals classified as proactive fish also shared an increased physical activity for supporting escape reactions in a milieu with low oxygen availability. Likewise, we also observed an overall increase of physical activity with the decrease of tank space availability, which can contribute to establish stricter criteria of welfare in farmed fish. Finally, the reduction of respiratory frequency was a consistent diagnostic marker of the progression of parasitic enteritis in experimentally infected fish with the myxozoan Enteromyxum leei. Altogether, this work constitutes the proof of concept of the use of biosensor technology as a reliable tool for individual fish phenotyping of whole-organism traits in farmed fish, contributing to improve animal welfare and productivity of aquaculture industry. ; European Union's Horizon 2020 Research and Innovation Programme under grant agreement No. 652831 (AQUAEXCEL2020, Aquaculture infrastructures for excellence in European fish research towards 2020). ; Ramón y Cajal Postdoctoral Research Fellowship RYC2018-024049-I/AEI/10.13039/501100011033 ; Peer reviewed
Integration of technological solutions aims to improve accuracy, precision and repeatability in farming operations, and biosensor devices are increasingly used for understanding basic biology during livestock production. The aim of this study was to design and validate a miniaturized tri-axial accelerometer for non-invasive monitoring of farmed fish with re-programmable schedule protocols. The current device (AE-FishBIT v.1s) is a small (14 mm × 7 mm × 7 mm), stand-alone system with a total mass of 600 mg, which allows monitoring animals from 30 to 35 g onwards. The device was attached to the operculum of gilthead sea bream (Sparus aurata) and European sea bass (Dicentrarchus labrax) juveniles for monitoring their physical activity by measurements of movement accelerations in x- and y-axes, while records of operculum beats (z-axis) served as a measurement of respiratory frequency. Data post-processing of exercised fish in swimming test chambers revealed an exponential increase of fish accelerations with the increase of fish speed from 1 body-length to 4 body-lengths per second, while a close relationship between oxygen consumption (MO2) and opercular frequency was consistently found. Preliminary tests in free-swimming fish kept in rearing tanks also showed that device data recording was able to detect changes in daily fish activity. The usefulness of low computational load for data pre-processing with on-board algorithms was verified from low to submaximal exercise, increasing this procedure the autonomy of the system up to 6 h of data recording with different programmable schedules. Visual observations regarding tissue damage, feeding behavior and circulating levels of stress markers (cortisol, glucose, and lactate) did not reveal at short term a negative impact of device tagging. Reduced plasma levels of triglycerides revealed a transient inhibition of feed intake in small fish (sea bream 50–90 g, sea bass 100–200 g), but this disturbance was not detected in larger fish. All this considered together is the proof of concept that miniaturized devices are suitable for non-invasive and reliable metabolic phenotyping of farmed fish to improve their overall performance and welfare. Further work is underway for improving the attachment procedure and the full device packaging. ; This project has received funding from the European Union's Horizon 2020 Research and Innovation Programme under grant agreement No. 652831 (AQUAEXCEL2020, Aquaculture infrastructures for excellence in European fish research towards 2020). This publication reflects the views only of the authors, and the European Commission cannot be held responsible for any use which may be made of the information contained therein. Additional funding was obtained from project SURF (TEC2014-60527-C2-1-R) of the Spanish Ministry of Economy and Competitiveness and the European Regional Development Fund (FEDER). ; Peer reviewed
