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Measuring activity-rest rhythms under different acclimation periods in a marine fish using automatic deep learning-based video tracking
Chronobiology International
Abstract
Most organisms synchronize to an approximately 24-hour (circadian) rhythm. This study introduces a novel deep learning-powered video tracking method to assess the stability, fragmentation, robustness and synchronization of activity rhythms in Xyrichtys novacula. Experimental X. novacula were distributed into three groups and monitored for synchronization to a 14/10 hours of light/dark to assess acclimation to laboratory conditions. Group GP7 acclimated for 1 week and was tested from days 7 to 14, GP14 acclimated for 14 days and was tested from days 14 to 21 and GP21 acclimated for 21 days and was tested from days 21 to 28. Telemetry data from individuals in the wild depicted their natural behavior. Wild fish displayed a robust and minimally fragmented rhythm, entrained to the natural photoperiod. Under laboratory conditions, differences in activity levels were observed between light and dark phases. However, no differences were observed in activity rhythm metrics among laboratory groups related to acclimation period. Notably, longer acclimation (GP14 and GP21) led to a larger proportion of individuals displaying rhythm synchronization with the imposed photoperiod. Our work introduces a novel approach for monitoring biological rhythms in laboratory conditions, employing a specifically engineered video tracking system based on deep learning, adaptable for other species.
... Fish form groups or schools and sometimes move through the tank at high speed and with rapid changes of direction. This behavior of fish follows a circadian rhythm that is stimulated by alternating periods of light and darkness during a day [14]. From a biological point of view, a rectangular tank is definitely a viable geometry for a RAS, as it does not hinder particle removal in marine RAS. ...
A recirculating aquaculture system (RAS) represents a forward-looking form of aquaculture. A RAS consists of fish tanks and water treatment processes in a closed loop to sustain the environmental conditions for fish production. However, the rapid industrialization of the technology is fraught with transfer problems. This review justifies a RAS process chain based on fish biology. The underlying concept has been evaluated by the author in experimental and commercial RAS projects. The core idea is that the fish must be considered as a technical subcomponent in a RAS, determining the technology. Fish, when considered as small biological machines, are still a black box in many ways. However, their basic biology and physiology provide all the knowledge to implement them in a technical setting. The information required to understand this concept is presented and discussed based on current scientific knowledge. The conclusion is that the technology is available but needs to be rigorously implemented. If this were carried out, fish production in RASs would be ecologically sustainable, which is already claimed for RASs but is not always the reality in commercial applications.
Chronotypes, the individual differences in daily activity timing, have profound associations with numerous physiological processes. Despite this, the covariance between chronotypes and other aspects of an individual's behaviour has been infrequently explored in non-human animals. This study delves into individual's variation across four axes of personality in a controlled environment, utilising the pearly razorfish, a model species for fish chronotype studies. We identified behavioural types across the aggressiveness continuum and established behavioural syndromes amongst exploration, activity, and boldness, irrespective of body size and condition. Subsequent to this, the experimental subjects were reintroduced to their natural habitat and individually tracked using high-resolution technology to ascertain their chronotypes. Our results revealed that whilst the exploration-activity-boldness syndrome bore no correlation with chronotypes, a significant association was observed between aggressiveness and chronotype. Hence, individuals with later awakening times and rest onsets were more aggressive than their counterparts with earlier awakening times and rest onsets. This study provides pioneering evidence linking fish chronotypes with other behavioural traits, such as aggressiveness, suggesting that behavioural variation could be potentially linked to the individuals' variation in internal clocks and the environmental variables influencing their expression.
Deep learning allows us to automatize the acquisition of large amounts of behavioural animal data with applications for fisheries and aquaculture. In this work, we have trained an image-based deep learning algorithm, the Faster R-CNN (Faster region-based convolutional neural network), to automatically detect and track the gilthead seabream, Sparus aurata, to search for individual differences in behaviour. We collected videos using a novel Raspberry Pi high throughput recording system attached to individual experimental behavioural arenas. From the continuous recording during behavioural assays, we acquired and labelled a total of 14,000 images and used them, along with data augmentation techniques, to train the network. Then, we evaluated the performance of our network at different training levels, increasing the number of images and applying data augmentation. For every validation step, we processed more than 52,000 images, with and without the presence of the gilthead seabream, in normal and altered (i.e., after the introduction of a non-familiar object to test for explorative behaviour) behavioural arenas. The final and best version of the neural network, trained with all the images and with data augmentation, reached an accuracy of 92,79% ± 6.78% [89.24–96.34] of correct classification and 10.25 ± 61.59 pixels [6.59-13.91] of fish positioning error. Our recording system based on a Raspberry Pi and a trained convolutional neural network provides a valuable non-invasive tool to automatically track fish movements in experimental arenas and, using the trajectories obtained during behavioural tests, to assay behavioural types.
The circadian clock is an internal timekeeping system shared by most organisms, and knowledge about its functional importance and evolution in natural environments is still needed. Here, we investigated the circadian clock of wild-caught threespine sticklebacks (Gasterosteus aculeatus) at the behavioural and molecular levels. While their behaviour, ecology, and evolution are well studied, information on their circadian rhythms are scarce. We quantified the daily locomotor activity rhythm under a light-dark cycle (LD) and under constant darkness (DD). Under LD, all fish exhibited significant daily rhythmicity, while under DD, only 18% of individuals remained rhythmic. This interindividual variation suggests that the circadian clock controls activity only in certain individuals. Moreover, under LD, some fish were almost exclusively nocturnal, while others were active around the clock. Furthermore, the most nocturnal fish were also the least active. These results suggest that light masks activity (i.e. suppresses activity without entraining the internal clock) more strongly in some individuals than others. Finally, we quantified the expression of five clock genes in the brain of sticklebacks under DD using qPCR. We did not detect circadian rhythmicity, which could either indicate that the clock molecular oscillator is highly light-dependent, or that there was an oscillation but that we were unable to detect it. Overall, our study suggests that a strong circadian control on behavioural rhythms may not necessarily be advantageous in a natural population of sticklebacks and that the daily phase of activity varies greatly between individuals because of a differential masking effect of light.
In the present study, the authors investigated the effect of acclimation duration (up to 4 h) on behavioural characteristics of taxonomically and functionally different fish species, i.e., the migratory rheophilic salmonids rainbow trout (Oncorhynchus mykiss) and Atlantic salmon (Salmo salar), and the non‐migratory eurytopic European perch (Perca fluviatilis) and three‐spined stickleback (Gasterosteus aculeatus). Specifically, the authors explored fish behavioural patterns based on specific endpoints (average, maximum and angular velocity) during the acclimation period, and determined the acclimation period suitable for the tested fish species. The performed behavioural data analysis showed that the minimum time needed to adjust fish activity to a more stable (baseline) level should be at least 2 h for O. mykiss and S. salar and 1 h for G. aculeatus. Nonetheless, P. fluviatilis behaviour did not show significant changes during the 4 h acclimation. The results of this study revealed that the effect of the acclimation duration on such rheophilic species as O. mykiss and S. salar was greater than that on the eurytopic species P. fluviatilis and G. aculeatus, indicating that acclimation period is important in managing fish stress before behavioural observations. For all species, the highest variability was found in the endpoint of maximum velocity, and the lowest in that of angular velocity. This study showed that before starting actual toxicity testing experiments, it is important to determine an appropriate, species‐specific acclimation period.
Behavioural types (i.e., personalities or temperament) are defined as among individual differences in behavioural traits that are consistent over time and ecological contexts. Behavioural types are widespread in nature and play a relevant role in many ecological and evolutionary processes. In this work, we studied for the first time the consistency of individual aggressiveness in the pearly razorfish, Xyrichtys novacula, using a mirror test: a classic method to define aggressive behavioural types. The experiments were carried out in semi-natural behavioural arenas and monitored through a novel Raspberry Pi-based recording system. The experimental set up allowed us to obtain repeated measures of individual aggressivity scores during four consecutive days. The decomposition of the phenotypic variance revealed a significant repeatability score ( R ) of 0.57 [0.44–0.60], suggesting high predictability of individual behavioural variation and the existence of different behavioural types. Aggressive behavioural types emerged irrespective of body size, sex and the internal condition of the individual. Razorfishes are a ubiquitous group of fish species that occupy sedimentary habitats in most shallow waters of temperate and tropical seas. These species are known for forming strong social structures and playing a relevant role in ecosystem functioning. Therefore, our work provides novel insight into an individual behavioural component that may play a role in poorly known ecological and evolutionary processes occurring in this species.
Recent advances in tracking systems have revolutionized our ability to study animal movement in the wild. In aquatic environments, high-resolution acoustic telemetry systems make it technically possible to simultaneously monitor large amounts of individuals at unprecedented spatial and temporal resolutions, providing a unique opportunity to study the behaviour and social interactions using a reality mining approach. Despite the potential, high-resolution telemetry systems have had very limited use in coastal marine areas due to the limitations that these environments pose to the transmission of acoustic signals. This study aims at designing and testing a high-resolution acoustic telemetry system to monitor, for the first time, a natural fish population in an open marine area. First, we conducted preliminary range tests and a computer simulation study to identify the optimal design of the telemetry system. Then, we performed a series of stationary and moving tests to characterize the performance of the system in terms of positioning efficiency and precision. Finally, we obtained a dataset corresponding to the movements of 170 concurrently tagged individuals to demonstrate the overall functioning of the system with a real study case of the behaviour of a small-bodied coastal species. Our results show that high-resolution acoustic telemetry systems efficiently generate positional data in marine systems, providing a precision of few meters, a temporal resolution of few seconds, and the possibility of tracking hundreds of individuals simultaneously. Data post-processing using a trajectory filter and movement models proved to be key to achieve a sub-meter positioning precision. The main limitation detected for our system was the restricted detection range, which was negatively affected by the stratification of the water column. Our work demonstrates that high-resolution acoustic telemetry systems are an effective method to monitor the movements of free-ranging individuals at the population level in coastal sites. By providing highly precise positioning estimates of large amounts of individuals, these systems represent a powerful tool to study key ecological processes regarding the social interactions of individuals, including social dynamics, collective movements, or responses to environmental perturbations, and to extend the studies to poorly studied small-sized species or life-stages.
The selective properties of fishing that influence behavioural traits have recently gained interest. Recent acoustic tracking experiments have revealed between-individual differences in the circadian behavioural traits of marine free-living fish; these differences are consistent across time and ecological contexts and generate different chronotypes. Here, we hypothesised that the directional selection resulting from fishing influences the wild circadian behavioural variation and affects differently to individuals in the same population differing in certain traits such as awakening time or rest onset time. We developed a spatially explicit social-ecological individual-based model (IBM) to test this hypothesis. The parametrisation of our IBM was fully based on empirical data; which represent a fishery formed by patchily distributed diurnal resident fish that are exploited by a fleet of mobile boats (mostly bottom fisheries). We ran our IBM with and without the observed circadian behavioural variation and estimated selection gradients as a quantitative measure of trait change. Our simulations revealed significant and strong selection gradients against early-riser chronotypes when compared with other behavioural and life-history traits. Significant selection gradients were consistent across a wide range of fishing effort scenarios. Our theoretical findings enhance our understanding of the selective properties of fishing by bridging the gaps among three traditionally separated fields: fisheries science, behavioural ecology and chronobiology. We derive some general predictions from our theoretical findings and outline a list of empirical research needs that are required to further understand the causes and consequences of circadian behavioural variation in marine fish.
Chronobiological research has seen a continuous development of novel approaches and techniques to measure rhythmicity at different levels of biological organization from locomotor activity (e.g. migratory restlessness) to physiology (e.g. temperature and hormone rhythms, and relatively recently also in genes, proteins and metabolites). However, the methodological advancements in this field have been mostly and sometimes exclusively used only in indoor laboratory settings. In parallel, there has been an unprecedented and rapid improvement in our ability to track animals and their behaviour in the wild. However, while the spatial analysis of tracking data is widespread, its temporal aspect is largely unexplored. Here, we review the tools that are available or have potential to record rhythms in the wild animals with emphasis on currently overlooked approaches and monitoring systems. We then demonstrate, in three question-driven case studies, how the integration of traditional and newer approaches can help answer novel chronobiological questions in free-living animals. Finally, we highlight unresolved issues in field chronobiology that may benefit from technological development in the future. As most of the studies in the field are descriptive, the future challenge lies in applying the diverse technologies to experimental set-ups in the wild.
This article is part of the themed issue ‘Wild clocks: integrating chronobiology and ecology to understand timekeeping in free-living animals’.
Repeatable between-individual differences in the behavioural manifestation of underlying circadian rhythms determine chronotypes in humans and terrestrial animals. Here, we have repeatedly measured three circadian behaviours, awakening time, rest onset and rest duration, in the free-ranging pearly razorfish, Xyrithchys novacula, facilitated by acoustic tracking technology and hidden Markov models. In addition, daily travelled distance, a standard measure of daily activity as fish personality trait, was repeatedly assessed using a State-Space Model. We have decomposed the variance of these four behavioural traits using linear mixed models and estimated repeatability scores (R) while controlling for environmental co-variates: year of experimentation, spatial location of the activity, fish size and gender and their interactions. Between-and within-individual variance decomposition revealed significant Rs in all traits suggesting high predictability of individual circadian behavioural variation and the existence of chronotypes. The decomposition of the correlations among chronotypes and the personality trait studied here into between-and within-individual correlations did not reveal any significant correlation at between-individual level. We therefore propose circadian behavioural variation as an independent axis of the fish personality, and the study of chronotypes and their consequences as a novel dimension in understanding within-species fish behavioural diversity.
Ecologists have recently begun to recognize sleep as a behaviour that is important in animal ecology. The first steps have been taken to characterize sleep in free-living birds, but it is unclear to what extent these results can be generalized between species. To describe sleep behaviour in the wild, we videorecorded great tits, Parus major, in their roosting boxes during two consecutive winters and individuals in captivity for comparison. Here, we examined endogenous and exogenous correlates of sleep behaviour in free-living great tits and addressed the potential confounding issues of studying avian sleep in captivity. Like that in blue tits, Cyanistes caeruleus, sleep behaviour in great tits was strongly related to season, and was affected by sex, age and the environment. Although literature suggests relationships between sleep and risk-taking behaviours, possibly arising from stable differences in physiological state, sleep behaviour appeared to be plastic in great tits, and was not predicted by between-individual variation in exploratory tendencies. Captive tits initiated sleep later than wild individuals, even under natural photoperiodic conditions, suggesting that captivity alters timing and duration of sleep in great tits. Long-term repeatability in sleep behaviour was low for all variables, except morning latency (high repeatability) and evening box entry time, evening latency and frequency of awakenings (no detectable repeatability). Variation in sleep behaviour may largely represent within-individual differences in daily sleep requirements. Our study describes how different observable components of sleep are intercorrelated by providing evidence for significant within-individual correlations between sleep behaviours, which represent the integration of plasticity between traits. Consistent with low repeatability, low between-individual correlations suggest substantial behavioural plasticity in sleep, rather than a correlational structure leading to clear sleep 'syndromes'. Our study provides quantitative evidence for the factors producing phenotypic plasticity in behavioural sleep in an ecological context.
Circadian rhythmicity in humans has been well studied using actigraphy, a method of measuring gross motor movement. As actigraphic technology continues to evolve, it is important for data analysis to keep pace with new variables and features. Our objective is to study the behavior of two variables, interdaily stability and intradaily variability, to describe rest activity rhythm. Simulated data and actigraphy data of humans, rats, and marmosets were used in this study. We modified the method of calculation for IV and IS by modifying the time intervals of analysis. For each variable, we calculated the average value (IVm and ISm) results for each time interval. Simulated data showed that (1) synchronization analysis depends on sample size, and (2) fragmentation is independent of the amplitude of the generated noise. We were able to obtain a significant difference in the fragmentation patterns of stroke patients using an IVm variable, while the variable IV60 was not identified. Rhythmic synchronization of activity and rest was significantly higher in young than adults with Parkinson׳s when using the ISM variable; however, this difference was not seen using IS60. We propose an updated format to calculate rhythmic fragmentation, including two additional optional variables. These alternative methods of nonparametric analysis aim to more precisely detect sleep–wake cycle fragmentation and synchronization.
ABSTRACT: Despite its small size, the pearly razorfish Xyrichtys novacula (Linnaeus, 1758) supports
important targeted recreational and commercial fisheries. Here, we present the first data on
the movements of this species obtained using acoustic telemetry in a temperate marine protected
area (MPA). The results demonstrate that acoustic telemetry is well suited for behavioural studies,
even in species of small size. The results confirmed previous speculations regarding the behaviour
of this species, demonstrating a clear diel pattern with maximum rates of activity during the day
and fewer detections at night, when the fish bury themselves in the soft bottom. X. novacula
exhibited a sedentary lifestyle with limited movement. The fish occurred in an accumulated averaged
area of 0.32 ± 0.13 km2 95% of the time (95% kernel utilisation distribution [KUD]) and in a
core area (50% KUD) of 0.07 ± 0.02 km2. These small areas of habitat utilisation existed independent
of sex and diel behaviour. No daily migration pattern or specific resting locations were
detected. The linearity index (as a proxy of site fidelity) demonstrated that the movement of
X. novacula was random within a specific home range area (sedentary behaviour) rather than
directional (nomadic behaviour). The observed diel pattern of behaviour confirms that this species
is not vulnerable to nighttime fishing, and the small spatial scale of habitat utilisation suggests that
small MPAs can be an effective management tool.
This article reviews various procedures used in the analysis of circadian rhythms at the populational, organismal, cellular and molecular levels. The procedures range from visual inspection of time plots and actograms to several mathematical methods of time series analysis. Computational steps are described in some detail, and additional bibliographic resources and computer programs are listed.
A variety of methods to determine phase markers and period length from experimental data sets have traditionally assumed a rhythm of fixed period and amplitude. But most biological oscillations exhibit fluctuations in both period and amplitude, leading to the recent interest in the application of wavelet transforms that can measure how rhythms vary over time. Here we examine how wavelet-based methods can be extended to the analysis of conventional actograms, including the detection of onsets in circadian activity and temperature rhythms of rodents.
The disruption of the circadian system in humans has been associated with the development of chronic illnesses and the worsening of pre-existing pathologies. Therefore, the assessment of human circadian system function under free living conditions using non-invasive techniques needs further research. Traditionally, overt rhythms such as activity and body temperature have been analyzed separately; however, a comprehensive index could reduce individual recording artifacts. Thus, a new variable (TAP), based on the integrated analysis of three simultaneous recordings: skin wrist temperature (T), motor activity (A) and body position (P) has been developed. Furthermore, we also tested the reliability of a single numerical index, the Circadian Function Index (CFI), to determine the circadian robustness. An actimeter and a temperature sensor were placed on the arm and wrist of the non-dominant hand, respectively, of 49 healthy young volunteers for a period of one week. T, A and P values were normalized for each subject. A non-parametric analysis was applied to both TAP and the separate variables to calculate their interdaily stability, intradaily variability and relative amplitude, and these values were then used for the CFI calculation. Modeling analyses were performed in order to determine TAP and CFI reliability. Each variable (T, A, P or TAP) was independently correlated with rest-activity logs kept by the volunteers. The highest correlation (r= -0.993, p
Sleep-wake rhythm disturbances in patients with Alzheimer's disease (AD) make a strong demand on caregivers and are among the most important reasons for institutionalization. Several previous studies reported that the disturbances improve with increased environmental light, which, through the retinohypothalamic tract, activates the suprachiasmatic nucleus (SCN), the biological clock of the brain. The data of recently published positive and negative reports on the effect of bright light on actigraphically assessed rest-activity rhythms in demented elderly were reanalyzed using several statistical procedures. It was demonstrated that the light-induced improvement in coupling of the rest-activity rhythm to the environmental zeitgeber of bright light is better detected using nonparametric procedures. Cosinor, complex demodulation, and Lomb-Scargle periodogram-derived variables are much less sensitive to this effect because of the highly nonsinusoidal waveform of the rest-activity rhythm. Guidelines for analyses of actigraphic data are given to improve the sensitivity to treatment effects in future studies.
We propose a continuous-time version of the correlated random walk model for animal telemetry data. The continuous-time formulation allows data that have been nonuniformly collected over time to be modeled without subsampling, interpolation, or aggregation to obtain a set of locations uniformly spaced in time. The model is derived from a continuous-time Ornstein-Uhlenbeck velocity process that is integrated to form a location process. The continuous-time model was placed into a state-space framework to allow parameter estimation and location predictions from observed animal locations. Two previously unpublished marine mammal telemetry data sets were analyzed to illustrate use of the model, by-products available from the analysis, and different modifications which are possible. A harbor seal data set was analyzed with a model that incorporates the proportion of each hour spent on land. Also, a northern fur seal pup data set was analyzed with a random drift component to account for directed travel and ocean currents.
Many mammalian species, including humans, spend a substantial fraction of their life sleeping. Sleep deprivation in rats ultimately leads to death, indicating the essential role of sleep. Exactly why sleep is so essential, however, remains largely unknown. From an evolutionary point of view, almost all animal species that have been investigated exhibit sleep or sleep-like states, suggesting that sleep may benefit survival. In certain mammalian and avian species, sleep can be further divided into at least two stages, rapid eye movement (REM) sleep and non-REM sleep. In addition to a widely conserved role for sleep, these individual sleep stages may have roles unique to these animals. The recent use of state-of-the-art techniques, including optogenetics and chemogenetics, has greatly broadened our understanding of the neural mechanisms of sleep regulation, allowing us to address the function of sleep. Studies focusing on non-mammalian animals species have also provided novel insights into the evolution of sleep. This review provides a comprehensive overview regarding the current knowledge of the function and evolution of sleep.
In the Gulf of Aden (African coast: northern Mijurtenia) four species of fishes belonging to the family Gobiidae have been collected (1973). Two of them (Palutrus pusillus, Hetereleotris bipunctata) are described as new and referred to little known genera, including a few species distributed along the coasts of East Africa and in the Red Sea. P. meteori (Klausewitz & Zander, 1967) and H. diademata (Ruppell, 1828) are the closest relatives of P. pusillus and H. bipunctata-. both live in the Red Sea.
State-of-the-art object detection networks depend on region proposal
algorithms to hypothesize object locations. Advances like SPPnet and Fast R-CNN
have reduced the running time of these detection networks, exposing region
proposal computation as a bottleneck. In this work, we introduce a Region
Proposal Network (RPN) that shares full-image convolutional features with the
detection network, thus enabling nearly cost-free region proposals. An RPN is a
fully-convolutional network that simultaneously predicts object bounds and
objectness scores at each position. RPNs are trained end-to-end to generate
high-quality region proposals, which are used by Fast R-CNN for detection. With
a simple alternating optimization, RPN and Fast R-CNN can be trained to share
convolutional features. For the very deep VGG-16 model, our detection system
has a frame rate of 5fps (including all steps) on a GPU, while achieving
state-of-the-art object detection accuracy on PASCAL VOC 2007 (73.2% mAP) and
2012 (70.4% mAP) using 300 proposals per image. The code will be released.
The effect of light–dark (LD) cycle and food availability was tested on the demand-feeding rhythm of single and groups of rainbow trout and European catfish. Under LD and free food access, most trout and catfish displayed, respectively, a diurnal and a nocturnal pattern of demand-feeding activity, whereas a few fish or groups of fish switched from diurnalism to nocturnalism or vice versa. In both species held under constant lighting conditions and a restricted feeding (RF) cycle (RF 20:4), the demand-feeding rhythm rapidly synchronised to food availability. The demand-feeding rhythm was under endogenous control and, in rainbow trout, periodogram analysis suggested the existence of two oscillators, one synchronised by photoperiod (LEO) and the other by food (FEO). When submitted to both LD and RF cycles, LD was, at least in the rainbow trout, the dominant zeitgeber synchronising the demand-feeding rhythm. In catfish, food availability rapidly synchronised demand-feeding rhythm. Finally, in both species, the synchronisation of single fish to LD or feed availability appeared slower than that of groups of fish, supporting the idea that social organisation affects the circadian activity in fish.
Until relatively recently little was known about the characteristics and controls of circadian rhythms of fishes ( Schwassman, 1971a ; Thorpe, 1978). Investigations with a number of Arctic species have revealed that the circadian system of fishes is highly labile, adapting to the prevailing environmental conditions (Eriksson, 1978 ; Muller, 1978a) . Studies from more temperate regions have shown that seasonal differences exist in the length of the free running circadian period of the locomotor activity of cyprinid fish (Kavaliers, 1978). The majority of those studies have dealt with the circadian activity of single fish recorded primarily under constant darkness. However, in the wild many fishes are normally found in groups ranging from aggregates to shoals and schools. What effect group size has on the circadian activity and period of fish and other verte brates is not well known (Aschoff, 1979) . In a brief report Siegmund and Wolff ( 1973) did suggest that both intensity of illuminationand group formation can affect the circadian activity of the European minnow, Leucaspius delineatus. The Atlantic killifish, Fundulus heteroclitus, a species of fish that is widely used in physiological and behavioral research, shows evidence of endogenous circadian rhythms. Killifish display a circadian rhythm of color change under constant illumination (Kavaliers and Abbott, 1977). Davis and Bardach (1965) demonstrated a “¿�time coordinated pre-feeding activity rhythm†in killifish that they suggested was determined by an endogenous circadian rhythm. Killifish also occur in shoals and aggregates and thus are an ideal species in which to examine the effects of social grouping on circadian rhythmicity. A shoal is considered to be a facultative social group of fish within which a variety of behavior takes place (Pitcher, 1979). The present study investigates the effects of group size as exem plified by single killifish, aggregates of five fish, and shoals of 25 fish on circadian activity and period length.
The present study aimed to determine a non-invasive nocturnal lighting system for the behavioural observation of a highly light sensitive species, Senegalese sole (Solea senegalensis). Locomotor activity, four types of behaviour and plasma melatonin were analysed in groups of 12 adult Senegalese sole (Solea senegalensis) reared in captivity and held under four night illumination treatments: total darkness (control), high 50 lux intensity red light (group RH), low 5 lux intensity red light (group RL) and infrared light (group IR). All groups experienced the same conditions during the day (lights on from 07:00 to 19:00) with white lighting of 125 lux. Clarity of video images taken at night for the observation of fish behaviour were ranked as follows: group RH > RL > IR > control. All treatments presented a daily rhythm in locomotor activity with high activity from 14:00 to 18:00 and low activity from 21:00 to 12:00. The sole exposed to the high intensity red light at night appeared to be disturbed as during the low nocturnal locomotor activity period group RH presented higher activity and significantly higher nocturnal behaviour related to escape or fear than was observed in the other groups. The groups control, RL and IR exhibited similar levels of nocturnal locomotor activity and nocturnal behaviour related to escape or fear. Plasma melatonin, at mid-dark was not significantly different between the control and groups RL and IR, while melatonin was significantly lower in group RH compared to the control. The authors recommended low intensity red night illumination for the non-invasive study of nocturnal behaviour of Senegalese sole adults.
Adult (48-week-old) and senescent (72-week-old) individually-kept Nothobranchius korthausae were used as experimental subjects to characterise circadian system (CS) function and age-related changes in senescent fish. This species was specifically chosen because it has already shown potential for use as a model system in gerontological studies. The rest-activity rhythm (RAR) in fish can be easily monitored and used to characterise the state of the CS, and it has also been proposed as a reliable model to study sleep-like periods in fish. As they aged, N. korthausae experienced a significant decrease in total daily activity and a progressive impairment of the RAR, accompanied by changes in the regularity, fragmentation and amplitude of the rhythm. The ability of the CS to oscillate autonomously when the two main synchronizers, photoperiod and feeding time, were absent (continuous darkness and random feeding), was also impaired with age, as the capacity to re-synchronise to the light-dark (LD) cycle declined. Melatonin treatment improved the regularity, fragmentation and amplitude of the RAR in senescent fish, and it also improved sleep efficiency. In conclusion, N. korthausae represents a viable model for studying the aging of the circadian system and the restorative effect of chronobiotic substances, such as melatonin.
Wrasse species exhibit a definite daily rhythm in locomotor activity and bury themselves in the sand at the bottom of the ocean at night. It remains unclear how their behavior in locomotor activity is endogenously regulated. The aim of the present study was to clarify the involvement of melatonin and clock genes (Per1, Per2, Bmal1, and Cry1) in daily and circadian rhythms of the threespot wrasse, Halichoeres trimaculatus, which is a common species in coral reefs. Daily and circadian rhythms in locomotor activity were monitored under conditions of light-dark cycle (LD=12:12), constant light (LL), and darkness (DD). Daily rhythms in locomotor activity were observed under LD and persisted under LL and DD. Melatonin from a cultured pineal gland showed daily variations with an increase during the nighttime and a decrease during daytime, which persisted under DD. Melatonin treatment induced decreases in locomotor activity and respiratory rate, suggesting that melatonin has a sleep-inducing effect. Per1 and Per2 mRNA abundance in the brain under LD showed daily rhythms with an increase around lights on. Robust oscillation of Per1 and Per2 mRNA expression persisted under DD and LL, respectively. Expression of Bmal1 and Cry1 mRNA also showed daily and circadian patterns. These results suggest that clock genes are related to circadian rhythms in locomotor activity and that melatonin plays a role in inducing a sleep-like state after fish bury themselves in the sand. We conclude that the sleep-wake rhythm of the wrasse is regulated by a coordination of melatonin and clock genes.
The life cycle of Nothobranchius korthausae, a Cyprinodontiformes fish, was studied in our laboratory to characterise the ageing process. Some morphological changes, such as spine curvature, skin colour, and fin and eye appearance are described. Growth and survival curves reflected a fast life cycle with rapid initial growth until 4weeks of age, after which the fish grew more slowly before reaching their final size in week 40. Senescence onset was established at week 48 with a decrease in spawn size and viability and a general decline in the animal's appearance (weight and colouration losses, caudal fin degradation, and cataractogenesis). The fatty acid composition changed with age, with high unsaturation in the adult stage as reflected by a high peroxidation index, a condition that is associated with high susceptibility to oxidative damage if elevated reactive oxygen species (ROS) production occurs. Senescent fish had an increase in monounsaturated fatty acid proportions and a lower peroxidation index (226.5±19.7 in adults versus 120.2±19.1 in senescent fish, P<0.05). The circadian system, as reflected by locomotor activity rhythms, showed noticeable changes with age. Twenty-four-week-old fish (adults) had a robust diurnal rhythm that showed a decrease in total activity, an increase in rhythm fragmentation, and a fall in amplitude and regularity with age. Changes were clearly reflected in the Circadian Function Index variations (0.56, 0.47 and 0.25 at 24, 48 and 72weeks of age, respectively). In conclusion, N. korthausae appears to be a species with appropriate characteristics for ageing studies because it manifests clear signs of progressive ageing. Comparing species of Nothobranchius genus with different lifespans may be useful for increasing our understanding of the ageing process.
Circadian (approximately 24 h) clock regulated biological rhythms have been identified in a wide range of organisms from prokaryotic unicellular cyanobacteria to higher mammals. These rhythms regulate an enormous variety of processes including gene expression, metabolic processes, activity and reproduction. Given the widespread occurrence of circadian systems it is not surprising that extensive efforts have been directed at understanding the adaptive significance of circadian rhythms. In this review we discuss the approaches and findings that have resulted. In studies on organisms in their natural environments, some species show adaptations in their circadian systems that correlate with living at different latitudes, such as clines in circadian clock properties. Additionally, some species show plasticity in their circadian systems suggested to match the demands of their physical and social environment. A number of experiments, both in the field and in the laboratory, have examined the effects of having a circadian system that does not resonate with the organism's environment. We conclude that the results of these studies suggest that having a circadian system that matches the oscillating environment is adaptive.
In addition to light cycles, temperature cycles are among the most important synchronizers in nature. Indeed, both clock gene expression and circadian activity rhythms entrain to thermocycles. This study aimed to extend our knowledge of the relative strength of light and temperature as zeitgebers for zebrafish locomotor activity rhythms. When the capacity of a 24:20 degrees C (thermophase:cryophase, referred to as TC) thermocycle to synchronize activity rhythms under LL was evaluated, it was found that most groups (78%) synchronized to these conditions. Under LD, when zebrafish were allowed to select the water temperature (24 degrees C vs. 20 degrees C), most fish selected the higher temperature and showed diurnal activity, while a small (25%) percentage of fish that preferred the lower temperature displayed nocturnal activity. Under conflicting LD and TC cycles, fish showed diurnal activity when the zeitgebers were in phase or in antiphase, with a high percentage of activity displayed around dawn and dusk (22% and 34% of the total activity for LD/TC and LD/CT, respectively). Finally, to test the relative strength of each zeitgeber, fish were subjected to ahemeral cycles of light (T=25 h) and temperature (T=23 h). Zebrafish synchronized mostly to the light cycle, although they displayed relative coordination, as their locomotor activity increased when light and thermophase coincided. These findings show that although light is a stronger synchronizer than temperature, TC cycles alone can entrain circadian rhythms and interfere in their light synchronization, suggesting the existence of both light- and temperature-entrainable oscillators that are weakly coupled.
The suprachiasmatic nucleus, considered to be the endogenous circadian clock in the mammalian brain, shows morphological changes with aging, which become even more pronounced in Alzheimer's disease (AD). In order to assess possible functional implications of these alterations, circadian rest-activity rhythms of 6 young and 13 old volunteers and of 12 AD patients were studied with a recently developed ambulatory rest-activity monitor (RA24). Young and old volunteers showed no differences in their rest-activity rhythm in any of the variables studied. Comparison of old controls versus AD patients revealed that (1) rest-activity rhythm was markedly disturbed in many of the AD patients and tended to be correlated with the severity of the dementia; (2) disturbances were most pronounced in subjects using sedating drugs; (3) disturbances in the latter group did not result from medication as no differences were found in the rest-activity patterns before and after administration of sedating drugs; (4) negative findings reported in the literature concerning circadian disturbances in AD may well have resulted from selection criteria that excluded the group of patients with the most severely affected rest-activity rhythm; and (5) rest-activity monitors offer a practical and fruitful approach for the study of circadian rhythms in humans.
Individual and shoaling white suckers, Catostomus commersoni, displayed free running circadian rhythms of locomotor activity under conditions of constant darkness and temperature. The circadian activity of shoals was different from that of single fish. The activity of single fish was rhythmic initially with a period of less than 24 h, but became arrhythmic after 15–30 days. Shoals of white suckers had a less variable circadian period that was greater than 24 h, and showed no evidence of arrhythmicity. The circadian activity of shoals is determined by its behavioural and social organization; it is not simply a more precise version of the activity of single fish.
Territorial and reproductive behavior of the three Caribbean razorfishes of the genus Xyrichtys (Labridae) at Bonaire aqua
- D C Shen
Shen DC, Clark E. 2016. Territorial and reproductive behavior
of the three Caribbean razorfishes of the genus Xyrichtys
(Labridae) at Bonaire aqua. Int J Ichthyol. 22:33-59.
Crawl: an R package for fitting continuous-time correlated random walk models to animal movement data
- D S Johnson
- J M London
Johnson DS, London JM. 2018. Crawl: an R package for fitting
continuous-time correlated random walk models to animal
movement data. doi: 10.5281/ZENODO.596464
ActCR: extract circadian rhythms metrics from actigraphy data
- D Junrui
- V Zipunnikov
Junrui D, Zipunnikov V. 2022. ActCR: extract circadian
rhythms metrics from actigraphy data doi: 10.32614/
CRAN.package.ActCR
The identification of Oreochromis niloticus feeding behaviour through the integration of photoelectric sensor and logistic regression classifier
- Mohd Sojak
- Mohd Razman
- Abdul Majeed
- A Musa
- Abdul Ghani
- A S Iskandar
Mohd Sojak MR, Mohd Razman MA, Abdul Majeed A,
Musa RM, Abdul Ghani AS, Iskandar I. 2018. The identification of Oreochromis niloticus feeding behaviour
through the integration of photoelectric sensor and logistic regression classifier. In: Kim J-H, Myung H, and
Lee S-M, editors. 6th International Conference on Robot
Intelligence
Technology
and
Applications.