ORIGINAL RESEARCH article
Sec. Aquatic Physiology
Volume 3 - 2012 | https://doi.org/10.3389/fphys.2012.00035
Cardiac and metabolic physiology of early larval zebrafish (Danio rerio) reflects parental swimming stamina
- Developmental Integrative Biology Cluster, Department of Biological Sciences, University of North Texas, Denton, TX, USA
Swimming stamina in adult fish is heritable, it is unknown if inherited traits that support enhanced swimming stamina in offspring appear only in juveniles and/or adults, or if these traits actually appear earlier in the morphologically quite different larvae. To answer this question, mature adult zebrafish (Danio rerio) were subjected to a swimming performance test that allowed separation into low swimming stamina or high swimming stamina groups. Adults were then bred within their own performance groups. Larval offspring from each of the two groups, designated high (LHSD) and low stamina-derived larvae (LLSD), were then reared at 27°C in aerated water (21% O2). Routine (fH,r) and active (fH,a) heart rate, and routine and active mass-specific oxygen consumption were recorded from 5 days post fertilization (dpf) through 21 dpf, and gross cost of transport and factorial aerobic metabolic scope were derived from measurements. Heart rate generally ranged between 150 and 225 bpm in both LHSD and LLSD populations. However, significant (P < 0.05) differences existed between the LLSD and LHSD populations at 5 and 14 dpf in fH,r and at days 10 and 15 dpf in fH,a. was 0.04–0.32 μmol mg−1 h−1, while was 0.2–1.2 μmol mg−1 h−1. Significant (P < 0.05) differences between the LLSD and LHSD populations in occurred at 7, 10, and 21 dpf and in at 7 dpf. Gross cost of transport was ∼6–10 μmol O2·μg−1 m−1 at 5 dpf, peaking at 14–19 μmol O2 μg−1 m−1 at 7–10 dpf, before falling again to 5–6 μmol O2 μg−1 m−1 at 21 dpf, with gross cost of transport significantly higher in the LLSD population at 7 dpf. Collectively, these data indicate that inherited physiological differences known to contribute to enhanced stamina in adult parents also appear in their larval offspring well before attainment of juvenile or adult features.
Individual fishes capable of elevated swimming speeds and/or showing enhanced stamina tend to exhibit longer lengths, have a higher percentage of skeletal muscle as a proportion of total body mass, and show higher metabolic scope for activity when compared with other individuals from a general population (for reviews, see Farrell, 2002; Claireaux et al., 2005; Claireaux and Lefrançois, 2007; Farrell, 2007; Clark et al., 2011). While the morphological and physiological underpinnings of enhanced locomotor performance in adult fish are well understood, relatively few studies have considered these topics in larval fishes. However, the literature on the energetics and physiology of larval fish locomotion has been expanding, driven by relevance to ecology, environment, and aquaculture as well as fundamental physiological questions (for an entry in to the literature, see Leis, 2006; Hurst et al., 2007; Nilsson et al., 2007; MacPhail et al., 2009; Lindsey et al., 2010; Colwill and Creton, 2011). Numerous studies, often on larval zebrafish, have begun to reveal the interrelationships between metabolic activity, swimming patterns during development, and developmental changes in heart and axial muscle development (see for example Müller et al., 2000; Bagatto et al., 2001; Pelster et al., 2003; Müller and van Leeuwen, 2004; Thorsen et al., 2004; van der Meulen et al., 2006; McLean and Fetcho, 2009).
Despite this expansion of studies on the locomotory energetics and physiology of larval fish, most studies on the heritability of fish locomotor energetics and mechanics have remained focused on adult stages – either as adult parents or adult offspring. Elevated swimming performance in fishes is certainly a heritable trait subject to natural selection (e.g., Evans et al., 2004; Langerhans et al., 2004). For example, Langerhans et al. (2004) demonstrated that populations of mosquito fish (Gambusia affinis) subjected to high levels of predation had evolved a larger caudal fin, longer body, a more ventral–posterior eye location, and faster burst speeds, when compared to populations that experience lower predation levels. These morphological differences persisted into subsequent generations, suggesting a heritable component to these modifications for improved locomotor performance and prey avoidance. There is some evidence that not just the trait of elevated swim performance, but also degraded swim performance, can cross generations. For example, the parr stage of sockeye salmon (Oncorhynchus nerka) show degraded swimming performance when derived from adult females that were moribund at the end of migration for spawning (Tierney et al., 2009). Offspring growth was not affected, but physiological indicators such as plasma lactate concentration in post-exercise state, typically used as an indicator of white muscle use, was greater for parr derived from moribund adult females. Finally, swimming-related behaviors appear heritable, as well, with schooling behaviors specific to marine and fresh-water environments are inherited by the adult offspring of the three-spine stickleback (Gasterosteus aculeatus; Wark et al., 2011).
Few studies, however, have attempted to link swimming performance in reproducing adult fishes directly to the physiological characteristics of their own larval offspring, as opposed to their offspring once reaching adulthood. Enhanced performance of the physiological systems vital in the support of swimming – e.g., cardiovascular and respiratory systems – are very likely to be inherited along with specific locomotor muscle genotypes, since these support systems are vital to enhanced swimming performance in adults and larvae alike. Yet, the heritable nature of physiological performance characteristics (e.g., routine and active heart rate, routine and active oxygen consumption, metabolic scope for activity) has yet to be explored in any depth.
In considering the inheritance of traits associated with physiological systems in support of locomotion in fishes, a fundamental question arises: “Do adults with enhanced swimming capabilities pass on associated traits that only subsequently appear in their offspring as adults, or are these traits expressed in their offspring even in early developmental stages”? To answer this question, this study focuses on cardio-respiratory and swimming performance in zebrafish (D. rerio) to generate a better understanding of transgenerational transfer of swimming-related physiological performance in Teleost fishes. We hypothesize that the onset of physiological processes potentially supporting enhanced swimming stamina appear early in larval development, and well before the attainment of adult morphology. To test this hypothesis, we have categorized adult reproducing zebrafish as having high, average, or low swimming stamina by employing time-to-exhaustion tests, and then investigated at what time in development their respective offspring begin to show differences in routine and maximum heart rate, and routine and maximum oxygen consumption.
Materials and Methods
Adult zebrafish were acquired from local suppliers (University of North Texas zebrafish colony and the Dallas North Aquarium). All animal and experimental protocols were reviewed and approved by the Institutional Animal Care and Use Committee of University of North Texas.
Adult fish were maintained in aquaria (volume 18.9 l) with constant temperature (27°C) and aeration (21% O2). Adults were fed brine shrimp ad libitum twice daily for 14 days leading up to evaluation of their swimming stamina. After swimming evaluation, feeding was increased to three times daily to create top breeding condition. Mass, length, and width (measured behind the pectoral fin) of each adult fish was recorded prior to further experimentation. Condition factor (K), a measure of a fish’s girth (Reid et al., 2005), was also calculated for these fish using the formula:
where BW = body weight (g) and TL = total length (cm).
Swimming Protocol and Stamina Evaluation
Adult stamina classification was determined in a gravity-fed “water treadmill” system providing fine control of water velocity and temperature (27°C), after Bagatto et al. (2001). The treadmill consisted of a series of polyvinylchloride swimming tubes (inside diameter = 4 cm; length 45 cm; volume 180 ml) gravity-fed with aerated water from an upper water reservoir. Water from the tubes drained into a bottom reservoir and was then pumped back up to the upper reservoir for aeration. A filtration system inside the lower reservoir maintained appropriate water chemistry and filtered out large particulate matter. Total volume of the system was ∼68 l. Each swimming tube was open to the atmosphere along the length of its top to allow access to the swimming larva, as well as to admit ambient lighting. A 20-cm long swimming area in each tube was defined at its upper and lower ends by a cluster of drinking straw pieces packed together in a 3-cm thick parallel array. Water flowed through this straw cluster in a highly laminar fashion, maintaining laminar flow through the swimming area of the tube.
To determine stamina, adults were very carefully netted from the general holding tank and quickly transferred to the swim tubes, taking care to treat each fish identically and in a manner minimizing the level of induced stress of handling. Randomly selected pair of adults was placed in each of three swim tubes. After a 30-min rest period in a zero velocity current, water velocity was then increased to the test current of ∼7.5 bl s−1 which is ∼50% of the Ucrit established for adult zebrafish of near identical size to those of the present study (Plaut and Gordon, 1994). The first two of the six zebrafish to become physically exhausted, as determined by their being swept back and pinned against the rear barrier of straws, were classified as “low stamina” swimmers. Typically the first two fish reached exhaustion in <10 min, at which point they were removed and placed in the “low stamina fish” holding tank containing aerated water The next two fish to become exhausted according to this test protocol were classified as “average” swimmers (∼10–20 min), and similarly were removed and placed in a separate holding tank. Finally, the last two fish to become exhausted, generally after >20 min of swimming, were classified as “high stamina” swimmers. This process was repeated until three separate groups of 28 adults each (equal number of males and females) were created based on swimming stamina (Table 1).
Table 1. Morphometrics and condition factor, K, in adult male and female zebrafish classified according to swimming stamina.
One week after determination of swimming stamina, four adult zebrafish from each of the low stamina and high stamina groups were bred strictly within their respective stamina groups. Individual breeding tanks with controlled temperature (27°C) and light conditions (14 h light: 10 h dark) were established with a ratio of two females to two males. Adults were placed in the breeding tanks in the late afternoon, where they remained overnight. The next morning fertilized eggs were collected from the breeding tanks using a disposable plastic pipette, and were transferred into containers containing all of the eggs for a specific stamina group.
Larvae derived from the breeding of high stamina adults were designated as “high stamina-derived larvae” (LHSD) Larvae derived from the breeding of low stamina adults were designated as low stamina-derived larvae (LLSD).
Larval Growth Rates
Larvae were maintained at a constant temperature (27°C), oxygen level (21% O2), and light cycle (14 h light: 10 h dark) throughout their development. All larvae were fed brine shrimp ad libitum three times daily. The initial weight and length of immature fish were recorded at 2 and 21 days post fertilization (dpf) to assess differences in the rate of growth between performance groups. Mass-specific growth rates were calculated using Ricker’s (1979) formula:
where W1 and W2 = initial and final weights (mg) recorded over the time (T) in days, and GR = growth rate as a % change.
Heart Rate Measurements
Routine heart rate (fH,r)
The small size and erratic movements of unrestrained zebrafish larvae unfortunately precluded visual observation of heart rate over more than several seconds. Consequently, to quantify heart rate, high stamina-derived, and low stamina-derived larvae were partially confined by drawing them up into an eye dropper and then gently placing them individually into a water-filled transparent glass capillary tube with an inside diameter of 1.4 mm. This measurement method has previously been shown to allow for 30–50 s observation periods without inducing high stress levels (Barrionuevo and Burggren, 1999). The entire period of time in the capillary tube was less than 60 s, minimizing the chances of significant changes in the temperature or PO2 of water within the capillary tube. Each larva in its tube was then immediately placed on a temperature controlled (27°C) stage of a Nikon inverted microscope for imaging of the beating heart. Heart images were recorded with a Javelin Electronics camera (model JE3010), stored on a computer, and then analyzed with ImagePro Plus software. Routine heart rate was determined by counting the number of heart beats in a 15-s period from the video images, and then calculating heart rate in beats per minute. While this process may have induced some modest stress in larvae, importantly the “routine” heart rate was typically 20–40 bpm below “active” heart rate in our measurements, suggesting that routine heart rates were far more reflective of resting than maximally stimulated rates of stressed larvae.
Routine heart rate was measured in both LHSD and LLSD, beginning at 3 dpf and continued on 5, 7, 10, 14, and 21 dpf.
Active heart rate (fH,a)
Active heart rate was determined by swimming each larva in a gravity-fed swim system that was essentially a miniaturized version of that described above for swimming adults. This system consisted of a 3.6-l reservoir and a swim chamber (inside diameter 1 cm; length 3 cm; volume 3 ml). Water temperature (27°C) and volume were maintained throughout swim training periods, and flow rate was controlled using a variable position stopcock. Each larva was first placed in still water (0 bl s−1) for a 5-min acclimation period. Water current speed was rapidly (<2 s) increased to ∼4.5 bl s−1. Each fish was then exposed to this current for 2 min. At the end of the 2-min period, larvae were removed with a disposable plastic pipette, transferred to a capillary tube and heart rate immediately assessed as described above. Total time elapsed from end of the swimming bout to the end of the heart rate determination was <25 s. These larvae were then placed in a separate container to eliminate inadvertent repeated measurements on the same larva.
Active heart rate was determined by counting the number of heart beats in a 15-s period and then calculating heart rate in beats per minute. Active heart rate was measured in larvae beginning at 5 dpf and was continued on 7, 10, 14, and 21 dpf.
Oxygen Consumption Measurements
Routine oxygen consumption
Routine oxygen consumption was determined for larvae and juveniles using conventional closed system respirometry for aquatic vertebrate larvae (e.g., Hastings and Burggren, 1995; Territo and Burggren, 1998; Rogge and Warkentin, 2008). Each respirometer consisted of a 2.0-ml glass syringe filled with 1 ml with water, with an attached needle sealed by a rubber stopper. Respirometers containing larvae were kept in a temperature controlled (27°C) water bath (Forma Scientific, model 2006) for 1 h before measurements to allow larvae to acclimate to the respirometers. The water was very gently renewed with air-equilibrated water immediately before the beginning of the oxygen consumption measurement period. Care was taken to minimize any disturbance to the larva within, as induced stress solely from handling would reduced metabolic scope by increasing the apparent We presume minimal stress in the larvae during these tests, as every larva was given a lengthy acclimation period and showed no behavioral changes during replacement of water immediately before measurements were started. The PO2 of water from the respirometer was measured by injecting water from the syringe directly into a small cuvette containing an oxygen microelectrode (Microelectrodes, Inc., Bedford, NH, USA), providing input into a Chart data acquisition program (PowerLab). The PO2 of water in the respirometer typically declined by 5–10 mmHg during the measurement period, depending upon larval age. Oxygen consumption ( μmol O2 mg−1 h−1) was calculated using the formula:
where ΔPO2 = decrease in partial pressure of O2 in the respirometer in mmHg, α = O2 capacitance of water at 27°C in μmol l−1 mmHg−1, V = initial volume in the respirometer in ml, Δt = elapsed time in h, and m = mass in mg.
Active oxygen consumption
Active oxygen consumption the oxygen consumption evident during swimming at a constant velocity of ∼4.5 bl s−1, was determined in larvae by using modified closed respirometry with a miniaturized Brett swimming respirometer (Beamish, 1979). Each swim respirometer consisted of four pieces of glass tubing (5 mm inside diameter) joined together to form a raceway in the shape of a rectangle ∼10 cm on edge. This assembly also had two sample ports, a glass two-way stopcock, and a small magnetic water pump, all in series (for details, see Bagatto et al., 2001). The respirometer was initially filled with air-saturated water and then 10 larvae (5 dpf) or 5 larvae (older than 5 dpf) were carefully placed into the respirometer. All larvae were made to swim at a water current velocity of 5 bl s−1 for a minimum of 60 min before water was sampled for PO2. was measured beginning at 5 dpf and continued on 7, 10, 14, and finally ending on 21 dpf, the chronological age of transition from larvae to juveniles. All larvae in each age class were of almost identical length, evident by the small error bars in the body length data (see Figure 1).
Figure 1. Dry body mass (A) and total body length (B) as a function of development in high stamina-derived larvae (LHSD) and low stamina-derived larvae (LLSD) from parents with high and low swimming stamina, respectively. Values plotted are means ± 1 SE; n values in parentheses. Boxes enclose statistically identical values.
Aerobic Scope and Gross Cost of Transport
Factorial aerobic scope was calculated for larval fish by dividing by As a measure of swimming efficiency, gross cost of transport, expressed as μmol O2 μg body mass−1 m−1 traveled, was calculated using larval body mass, and distance traveled in the respirometer by each larva.
Larval Swimming Stamina
Unlike the swimming behavior of adults that allows for swimming stamina to be determined over a 10- to 30-min period, larval swimming behavior is characterized by intermittent bursts of swimming (e.g., Bagatto and Burggren, 2001). This precluded determination of a comparable measure of swimming stamina in the current study.
Comparison of low stamina and high stamina adults was performed using a one-way ANOVA, followed by a Student–Newman–Keuls test to determine pair-wise differences. Parametric two-way ANOVAs were used to assess the statistical differences between offspring lengths, masses, heart rates, metabolic rates, and cost of transport of larvae from high stamina and low stamina swimmers (unless otherwise noted). If the two-way ANOVA was significant, then post hoc tests were used to make pair-wise comparisons. Once a measurement was made on an adult or larvae, that individual was removed from the pool of animals used for subsequent measurements, eliminating any possibility of pseudoreplication. All variables are represented as mean ± 1 SE and statistical significance level is set at 0.05 (P < 0.05). All statistical analyses were performed using SigmaStat® and SigmaPlot® software.
Body mass, width, length, and condition factor (K) for adult males were all significantly lower (P < 0.05) than females, both within and between groups (Table 1). Adult male fish classified as low stamina swimmers had significantly shorter bodies (P < 0.01) than high stamina male swimmers. However, unlike in males, there were no significant differences (P > 0.05) in body length in low and high stamina females.
Body masses in high stamina adult males and adult females were not significantly different (P > 0.05) from low stamina males and females, respectively. Only males showed a significant intergroup difference (P < 0.05) in body width.
Larval Growth Rate
High stamina larvae (LHSD) and low stamina larvae (LLSD) had identical initial body dry masses of 50 ± 1 mg early in development and at 5 dpf, but thereafter diverged, with the largest mass differences occurring at 10 and 15 dpf (P < 0.05; Figure 1). By 21 dpf the body mass was 130 ± 10 mg for LHSD, not significantly different from 120 ± 10 mg for LLSD, and therefore, larval growth was not significantly affected by stamina group (P > 0.05). However, as expected, body mass increased with developmental stage affected (P < 0.001), but significant differences between LHSD and LLSD existing at 7, 10, and 14 dpf (P < 0.05).
Body length of course increased significantly during development in both populations (P < 0.01) early in development at 2 dpf was 3.30 ± 0.03 mm in LHSD but slightly but significantly lower at 3.10 ± 0.06 mm in LLSD. Body lengths at 15 and 21 dpf were significantly greater in LLSD compared to LHSD (Figure 1B).
Calculated growth rates at 21 dpf, using Ricker’s (1979) formula based on body mass, were nearly identical in LHSD (5.44% day−1) and LLSD (5.41% day−1).
Routine and Active Heart Rate
Heart rate differed significantly between larvae from low and high stamina parents (two-way ANOVA on ranks, P < 0.05; Figure 2). LLSD had significantly higher routine heart rates at 7, and 14 and 21 dpf (P < 0.001). fH,a recorded from LHSD and LLSD (Figure 2) were also significantly different (two-way ANOVA on ranks, P < 0.05), with the LLSD showing significantly higher fH,a at 10 and 14 dpf (P < 0.05 and P < 0.001). There were also significant differences between fH,r and fH,a within LHSD (P < 0.001) and LLSD (P < 0.001), with a higher fH,a for all developmental stages.
Figure 2. Routine (fH,r) and active (fH,a) heart rate of high stamina-derived larvae (LHSD) and low stamina-derived larvae (LLSD) as a function of development. Values plotted are means ± 1 SE; n values in parentheses. Boxes enclose statistically identical values.
Routine oxygen consumption showed significant differences (P < 0.05) between LHSD and LLSD (Figure 3). was significantly lower in LLSD than LHSD at 7 and 21 dpf (P < 0.05), and was significantly higher at 10 dpf (P < 0.05). in LLSD was not significantly different (P > 0.10) from LHSD, except at 7 dpf when of LLSD was significantly higher than LHSD (P < 0.05). was also significantly higher than within groups at all developmental stages (P < 0.001).
Figure 3. and of high stamina-derived larvae (LHSD) and low stamina-derived larvae (LLSD) as a function of development. Values plotted are means ± 1 SE; n values in parentheses. Boxes enclose statistically identical values.
Aerobic scopes differed in both degree and kind between LHSD and LLSD. Aerobic scope in LHSD was initially 3.3 at 5 dpf, increasing to 5.1 at 10 dpf before decreasing once again with further development (Figure 4). However, in LLSD, aerobic scope was initially 6.0 at 5 dpf, decreasing to 1.2 at 14 dpf before increasing once again. The aerobic scopes of LLSD were 82, 109, and 139% higher than LHSD at 5, 7, and 21 dpf, respectively. Aerobic scopes of LHSD were 102 and 18% higher than LLSD at 10 and 14 dpf, respectively.
Figure 4. Factorial aerobic scope of high stamina-derived larvae (LHSD) and low stamina-derived larvae (LLSD) as a function of development.
Gross Metabolic Cost of Transport
Gross cost of transport ranged from 3 to 19 μmol O2 μg body mass−1 m−1 over the course of development, peaking at 7 and 10 dpf in LLSD and LHSD, respectively (Figure 5). Gross cost of transport was only significantly higher in LLSD compared to LHSD at 7 dpf (P < 0.05).
Figure 5. Gross Cost of transport in high stamina-derived larvae (LHSD) and low stamina-derived larvae (LLSD) as a function of development. Values plotted are means ± 1 SE. Boxes enclose statistically identical values.
Adult Morphometrics and Swimming Stamina
Body shape plays a major role in fish hydrodynamics, swimming speed and stamina (e.g., Martínez et al., 2004;; Müller et al., 2008; Porter et al., 2011). In the present study, however, intraspecific variations in body shape appear to have little effect on swimming stamina of adult zebrafish, at least when assessed by simple body dimension variables. The only significant dimensional difference observed in the present study was a greater body length in high stamina males when compared with low stamina males and when compared with both female groups (Table 1). Condition factor, K, was lower in males than in females in all three groups, despite identical regimes for feeding and care. Indeed, the role of body mass on the physiology of fishes, including swimming activity, is still poorly understood (see Clark and Farrell, 2011). Multiple mechanisms could account for the differences seen in swimming stamina in adult fish, and their identification will comprise an interesting future study.
Larval Growth Rates
Surprisingly, low stamina-derived larvae (LLSD) had significantly higher dry masses at 7, 10, and 14 dpf, and greater length by 14 and 21 dpf. The physiological implications of these larval dry mass differences, are as yet unknown, as are the likely causes of these differences. Both abiotic and biotic factors influence the growth of larval fishes, and these rates often vary greatly both intra- and inter-specifically (for an introduction to the extensive literature, see Pelster, 2002; Arnott et al., 2006; Hunt von Herbing, 2006; Johnston, 2006; Rombough, 2006; Finn, 2007; Johnston et al., 2011). Abiotic factors and food availability are unlikely to be causal agents for the differences observed in our study, given our careful control of experimental conditions. However, competition for food – as opposed to food availability – was not controlled for in our study, and could have led to differential growth rates, as seen for juvenile gilthead sea bream, Sparus aurata (Goldann et al., 2003), and cod (Hart and Salvanes, 2000).
Resting heart rates in larval zebrafish from 2 to 21 dpf reported in the present study compares favorably with that of previous studies under comparable temperatures and holding conditions (see Barrionuevo and Burggren, 1999; Pelster et al., 2003; Schwerte et al., 2005; Bagatto and Burggren, 2001; Burggren and Bagatto, 2008; Barrionuevo et al., 2010). Generally, there was a 20- to 50-beat min−1 increase in heart rate associated with swimming activity beginning as early as day 5, suggesting that neural and/or hormonal mechanisms necessary for heart rate acceleration are functional in early development, in alignment with both gene knock-out and pharmaceutical studies of zebrafish larvae (e.g., Schwerte et al., 2006; Steele et al., 2011). The present study also shows that statistically significant differences between LHSD and LLSD in both routine and active heart rates emerge by 10 dpf (Figure 2). For example, at 14 dpf, larvae derived from low stamina parents exhibited significantly higher heart rates than high stamina-derived larvae at both rest and during activity. By 21 dpf there was no difference in active heart rate between populations, but heart rate at rest was approximately 10–15% lower in LHSD compared with LLSD. What these differences in heart rate translate into in terms of cardiac output, tissue perfusion, and O2 delivery is at present unknown. At least in adult fishes, heart rate can be a relatively accurate indicator of overall cardiac performance and cardiac output, because in many species increases in cardiac output are achieved primarily by increases heart rate rather than stroke volume (e.g., Burggren et al., 1996; Sandblom et al., 2005; Clark and Seymour, 2006) – though this is not universal trait (c.f. Webber et al., 1998). If cardiac output in larval zebrafish is similarly closely correlated with heart rate, the lower routine, and active heart rate values for LHSD zebrafish in the present study could reflect lower cardiac output for any given swimming speed in this high stamina- derived group, which is a trait of “athletes” throughout the vertebrates. Swimming capabilities in zebrafish larvae depend upon not only cardiac output, but also upon tissue level characteristics such as mitochondrial and capillary density (Pelster et al., 2003). Whether the physiological implications of our measured differences in routine and active heart rate in larval zebrafish are adaptive (i.e., improve larval or juvenile swim performance) or are merely reflections of the consequence of genetic changes that impart improved performance in the parents, these differences in larvae do indeed correlate with parental stamina. Thus, emergence of this inherited physiological phenotype does not require full development to juvenile stages or full maturation to adulthood, in support of our proposed hypothesis.
Larval oxygen consumption in the present study was comparable to previously published data for larval zebrafish, following dry to wet mass conversion (Barrionuevo and Burggren, 1999; Bagatto et al., 2001). Zebrafish larvae show a significant increase in oxygen consumption during the first 8–10 days of development, most likely due to the process of organogenesis and the associated increase in metabolically active tissues. This pattern of increased mass-specific – even as body mass is also increasing – is a pattern of metabolic change counter to that predicted by interspecific allometry, and has been previously noted in the larvae of zebrafish and other species (e.g., Barrionuevo and Burggren, 1999; Burggren, 2005; Blank and Burggren, unpublished).
Soon after the developmental peak in oxygen consumption at approximately 10 dpf, larval zebrafish are primarily using gills for gas exchange and depend heavily upon blood convection rather than bulk diffusion for oxygen transport (Pelster and Burggren, 1996). Concurrently, there is a decrease followed by stabilization of aerobic metabolism (Jonz and Nurse, 2006). In addition to the maturation of regulatory mechanisms, the reduction of mass-specific oxygen consumption may also be caused by scaling-related differences due to the dramatic increase in body mass during subsequent development (Barrionuevo and Burggren, 1999). This general pattern of bipartite change in oxygen consumption during early development appears to be a general characteristic of larval teleosts (Rombough, 1988, 1998; Rombough and Ure, 1991; Barrionuevo and Burggren, 1999; Blank and Burggren, unpublished).
Routine oxygen consumption, like heart rate, differed significantly between LHSD and LLSD, with the developmental trajectory for routine oxygen consumption in LLSD shifted slightly to the right in a plot of as a function of development (Figure 3). This shift in metabolic rate could be due to the LLSD undergoing a longer period of organogenesis and its associated demand for Alternatively, there may be a delayed conversion of egg yolk into new metabolizing biomass (Barrionuevo and Burggren, 1999). Either phenomenon could result from conventional genetic mechanisms, although epigenetic transgenerational phenomena involving physiology are increasingly being identified (e.g., Ho and Burggren, 2010; Ho et al., 2011). Irrespective of mechanism, like heart rate, the early onset of differences in oxygen consumption between larval populations shows that achievement of juvenile or adult features is not a required precondition for the expression of inherited physiological differences.
Another key determinant in oxygen consumption is the ability of the heart to supply oxygen to aerobic muscle tissue. This major factor can actually limit maximum aerobic capacity in vertebrates (e.g., Burggren et al., 1996; Hussain et al., 2001). Our results for active mass-specific oxygen consumption show a slight delay in peak oxygen consumption during development for LHSD compared to LLSD. This delay could possibly be related to these particular larvae being physiologically adapted to coping with the increasing demands for oxygen delivery to the muscle tissues during activity.
Factorial aerobic scope, calculated as active aerobic metabolic rate divided by routine aerobic metabolic rate, is an important determinant of how well an animal can cope with changing environmental conditions (Brett, 1971; Killen et al., 2007). The attainable maximum level of aerobic performance in fish dictates the magnitude of the aerobic scope. Yet, for such an important indicator of physiological performance, very few data exist for larval fishes. Killen et al. (2007) suggests that marine teleost larvae have very small aerobic scopes (∼1.5), and that physiological function is thus highly constrained. In the present study on the fresh-water zebrafish, however, larvae exhibited more substantial (and variable) aerobic scopes, ranging from values of 2 to 6 (Figure 4). By 5 dpf there was a highly significant increase in oxygen consumption between routine and active measurements for both stamina groups, suggesting that at this early developmental stage larval zebrafish have the ability to substantially increase delivery of oxygen to muscle tissues.
There was no consistent pattern in differences in aerobic scope across the first 21 days of development or as a result of stamina grouping, and indeed some of the data are paradoxical. For example, larvae from low stamina adults actually have a much larger aerobic scope than larvae from high stamina adults at days 5 and 7 (Figure 4), whereas trained vertebrate athletes often have higher aerobic scope than untrained individuals (Weibel et al., 2004). Aerobic scope in marine teleosts is highly influenced by larval growth, developmental trajectory, and the ecological niche of the species (Killen et al., 2007; Pörtner et al., 2010). Therefore, differences in aerobic scope between stamina groups across development in this study might also relate to the differences in larval mass, length, and other as yet unidentified variables. Clearly the patterns of change during development as well as the differences between larval populations are complex and dynamic, and warrant additional study.
Gross Cost of Transport
Gross cost of transport is used both as a measure of swimming efficiency and to compare energetic costs incurred by locomotion (e.g., Clark and Seymour, 2006). The gross cost of swimming followed a similar trend to during the transition from larval to juvenile form, with a rapid increase during the first week of development. This pattern could arise from changes in morphological characteristics occurring during this period, such as increased body mass and size, as well as physiological adjustments such as an increase in cardio-respiratory function. As body size and surface area increase during development, so does drag during locomotion, generally leading to an increase in the energetic costs of swimming in fish (Webb, 1975). However, there also appears to be a behavioral component contributing to variability in the energetics of swimming, since fish larvae exhibit a lower cost of transport by apparently swimming more economically when in hypoxic water (Wieser, 1995).
Despite differences in body mass and length over several days of development in larval zebrafish, the cost of transport was only significantly different between larval populations at 7 dpf (Figure 5). That gross cost of transport was elevated in the LLSD is suggestive, however, that the overall energetic efficiency of locomotion is higher in those larvae from parents with higher swimming stamina.
This study of larval zebrafish indicates that difference in parental stamina lead to transgenerational (likely inherited) differences in cardiac and metabolic performance in larval offspring. Importantly, these differences appear early on in larval development, not requiring additional growth and development to juvenile or adult stages for the expression of traits potentially conferring greater swimming stamina. Assuming that these physiological differences between larval populations are adaptive (most likely in increased locomotor capabilities allowing both enhanced prey capture and predator avoidance), this phenomenon may convey enhanced larval fitness at a life cycle phase when selection pressures can be especially severe. The ability to successfully move to more suitable environments increases evolutionary fitness in fishes, and may depend on the locomotor capacity of the fish (Nelson et al., 2002).
Understanding the locomotory fitness of fish, and the factors that affect inheritance of this parameter, has practical implications for both marine and fresh-water fisheries as well as natural populations. For example, human land development is increasing the presence of culverts and dams that pose challenges to migrating fishes. Such construction results in threats to anadromous species and also changes in the use of upstream habitats (Morinville and Rasmussen, 2006).
Finally, the current study reinforces the role of the zebrafish as a suitable model system for further study of the locomotor ecology, behavior, and evolution of fishes and the transgenerational transfer of locomotor traits.
Conflict of Interest Statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
This study was supported by NSF Operating Grant IOS-1025823 to Warren W. Burggren. We are grateful to Drs. Mark Burleson, Ed Dzialowski, Ione Hunt von Herbing, Pudur Jagadeswaran, and Casey Mueller for useful comments provided during the course of this study.
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Keywords: zebrafish, cardio-respiratory physiology, inherited traits, swimming stamina
Citation: Gore M and Burggren WW (2012) Cardiac and metabolic physiology of early larval zebrafish (Danio rerio) reflects parental swimming stamina. Front. Physio. 3:35. doi: 10.3389/fphys.2012.00035
Received: 10 November 2011;
Accepted: 07 February 2012;
Published online: 24 February 2012.
Edited by:Richard Londraville, University of Akron, USA
Reviewed by:Brad Buckley, Portland State University, USA
David Marcinek, University of Washington, USA
Tim Moerland, Kent State University, USA
Copyright: © 2012 Gore and Burggren. This is an open-access article distributed under the terms of the Creative Commons Attribution Non Commercial License, which permits non-commercial use, distribution, and reproduction in other forums, provided the original authors and source are credited.
*Correspondence: Warren W. Burggren, Department of Biological Sciences, University of North Texas, 1155 Union Circle #305220, Denton, TX 76203, USA. e-mail: firstname.lastname@example.org