SUMMARY
The purpose of the present study was to determine whether the daily and seasonal changes in ventilation and breathing pattern previously documented in red-eared sliders resulted solely from daily and seasonal oscillations in metabolism or also from changes in chemoreflex sensitivity. Turtles were exposed to natural environmental conditions over a one year period. In each season, oxygen consumption, ventilation and breathing pattern were measured continuously for 24 h while turtles were breathing air and for 24 h while they were breathing a hypoxic–hypercapnic gas mixture (H–H). We found that oxygen consumption was reduced equally during the day and night under H–H in all seasons except spring. Ventilation was stimulated by H–H but the magnitude of the response was always less at night. On average, it was also less in the winter and greater in the reproductive season. The data indicate that the day–night differences in ventilation and breathing pattern seen previously resulted from daily changes in chemoreflex sensitivity whereas the seasonal changes were strictly due to changes in metabolism. Regardless of mechanism, the changes resulted in longer apneas at night and in the winter at any given level of total ventilation,facilitating longer submergence at times of the day and year when turtles are most vulnerable.
INTRODUCTION
Circadian and circannual rhythms time biological processes so that specific events take place at appropriate times of the day or year(Underwood, 1992; Tosini et al., 2001; Mortola and Seifert, 2002). Such temporal changes in physiological variables may be particularly crucial for the survival of temperate species, which are subjected to large daily and seasonal variations in their environment (changes in day length and temperature cycles). We previously showed that endogenous circadian and circannual oscillations were present in the metabolism and ventilation of red-eared sliders (Trachemys scripta elegans Wied)(Reyes and Milsom, 2009), and were accompanied by changes in breathing pattern that resulted in longer apneas at night and during colder seasons. We speculated that by reducing trips to the surface to breathe, turtles could reduce the cost of locomotion,risk of predation (Cagle, 1950)and, potentially, the cost of breathing(Vitalis and Milsom, 1986)during dormancy.
Little is known about the mechanisms that generate the long apneas that are common to arrhythmic breathing in turtles. Endogenous circadian and circannual oscillations in apnea duration could reflect oscillations in metabolic rate(the need to breathe) or in chemoreflex sensitivity (the drive to breathe). Chemoreflexes are thought to be important in initiating and terminating periods of apnea (Shelton et al.,1986; Milsom,1990), but the few studies of circadian and circannual variation in chemoreflex responses, performed in mammals and amphibians, have not always observed rhythms in chemoreflex sensitivity(McArthur and Milsom, 1991; Milsom et al., 1993; Peever and Stephenson, 1997; Rocha and Branco, 1998; Bicego-Nahas and Branco, 1999; Mortola and Seifert, 2000; Stephenson et al., 2000; Bicego-Nahas et al., 2001; Mortola and Seifert, 2002; Seifert and Mortola, 2002a; Seifert and Mortola, 2002b; Mortola, 2004).
In the present study, we sought to determine whether daily and seasonal oscillations in chemosensitivity per se [defined as the increase in ventilation of turtles breathing a hypoxic–hypercapnic (H–H) gas,after correcting for any changes in metabolism, i.e. the change in air convection requirement;ΔACR=ΔV̇E/ΔV̇O2,where V̇E is ventilation and V̇O2 is oxygen consumption] could be involved in producing the daily and seasonal changes in ventilation and breathing pattern previously reported in red-eared sliders(Reyes and Milsom, 2009). We hypothesized that endogenous rhythms in chemosensitivity contribute to the daily and seasonal oscillations observed in the breathing pattern of red-eared sliders, allowing turtles to remain submerged longer at night and in the winter, which may have implications on their survival.
MATERIALS AND METHODS
Red-eared slider turtles (Trachemys scripta elegans Wied) (mean mass=1.09±0.35 kg, N=8) were obtained from commercial suppliers (Lemberger Company, Wisconsin and Sullivan Company, TN, USA) and were housed in a semi-natural pond (2.9×1.9×0.6 m, containing 3.3 m3 of water), where they experienced the environmental temperature and natural photoperiod of Vancouver (BC, Canada) throughout the year. Two temperature loggers (DS1921 Thermocron iButton, Dallas Semiconductor Corporation, Sunnyvale, CA, USA) were placed on the basking area(1.25×1.9 m) in the shade and submerged in the pond to record ambient and water temperatures, respectively, every hour for one year. Prior to each trial, temperatures recorded by the data loggers were averaged to determine the experimental seasonal temperature. Daily photoperiod and rainfall were obtained from the Meteorological Service of Canada website. The holding and experimental procedures followed Canadian Council on Animal Care guidelines and were approved by the University of British Columbia Animal Care Committee(animal care certificate No. A041006).
Experiments were carried out over a 12 month period (October to October) on unrestrained turtles that were fasted for seven days. In each season turtles were removed from the semi-natural pond and placed in an experimental tank(1.22×0.49×0.64 m) for four days, at the mean seasonal temperature(same day and night water temperatures) and photoperiod prevailing in that season (Table 1). The tank was placed inside a wooden box to insulate the turtle from external stimuli (noise and light). Full spectrum lights were set with a timer to control the light and dark cycle as we have previously described(Reyes and Milsom, 2009), and turtles were acclimated for two days to adjust to the handling stress, the experimental tank and the lack of a thermal cycle. On the first day following acclimation turtles were given humidified air to breathe for 24 h. On the second day after acclimation turtles were given a H–H gas mixture (8%oxygen–3% CO2) to breathe for 24 h. Water temperature in the experimental tank was recorded every hour for the length of the experimental treatment with a temperature logger (DS1921 Thermocron iButton, Dallas Semiconductor Corporation) to ensure that temperature remained steady during the experimental trial.
Seasonal cues . | . | . | ||
---|---|---|---|---|
. | Treatment . | . | ||
Season . | Photoperiod . | Temperature . | ||
Winter | 9 h:15 h L:D | 9°C | ||
Spring | 14 h:10 h L:D | 14.6°C | ||
Summer | 16 h:8 h L:D | 20.8°C | ||
Autumn | 10 h:14 h L:D | 14.7°C | ||
Constant darkness (outdoor turtles) | 0 h:24 h L:D | 13.6°C |
Seasonal cues . | . | . | ||
---|---|---|---|---|
. | Treatment . | . | ||
Season . | Photoperiod . | Temperature . | ||
Winter | 9 h:15 h L:D | 9°C | ||
Spring | 14 h:10 h L:D | 14.6°C | ||
Summer | 16 h:8 h L:D | 20.8°C | ||
Autumn | 10 h:14 h L:D | 14.7°C | ||
Constant darkness (outdoor turtles) | 0 h:24 h L:D | 13.6°C |
To determine the effects of removing all cues that could give any indication of the time of day, the same protocol was repeated in the autumn,except that turtles were maintained under constant darkness for four days. The water temperature used for this experiment was 13.6°C. Day and night differences measured in the autumn under the natural photoperiod were compared with the corresponding day and night values measured under constant darkness.
Measurement of metabolic rate and ventilation
V̇O2 and V̇E were measured simultaneously using open-flow respirometry (for details, see Reyes and Milsom, 2009). Air or the H–H gas mixture was delivered through a port in the side of a breathing funnel at a rate of 350 ml min–1. The flow rate was regulated with a gas mixing flow meter (Cameron Instrument Company, Port Aransas, TX, USA). The air/gas mixtures entering and leaving the funnel were dried and sampled by a gas analyzer (model 222A version 1.02, Raytech Instruments, Vancouver, BC, Canada). V̇O2 rates were calculated from the flow rate and the difference in fractional concentrations of oxygen between inflow and outflow gas. Rates of V̇O2 are expressed as ml O2 STPD min–1 kg–1 (where STPD is standard temperature and pressure, dry).
V̇E was monitored at the outflow of the breathing funnel with a pneumotachograph (Fleisch, Richmond,VA, USA) attached to a differential pressure transducer (Validyne, Northridge,CA, USA) (Funk et al., 1986). The breathing trace was analyzed for breathing frequency(fR, breaths min–1) and mean tidal volume(VT, ml kg–1). Total ventilation(V̇E: fR×VT, ml min–1kg–1) was calculated from these values. The components of fR: number and frequency of breathing episodes, number of breaths in each episode, the instantaneous frequency (the frequency of the breaths within an episode) and the percentage time spent apneic were also calculated. Apnea was defined as a respiratory pause that exceeded the duration of two breaths.
Data analyses
All data were continuously recorded using WINDAQ acquisition software(version 2.19, Dataq Instruments, Akron, OH, USA). Autumn and winter data were analyzed first for every one-hour segment of the 24 h experiment. Based on this, we determined that analyses of data every other hour was sufficient to accurately describe daily rhythms; thus, spring, summer and constant dark runs were analyzed every other hour. Data were averaged over both the daytime and night-time measurements, and over the full 24 h for all turtles(N=6–8) in each season. Segments of breathing traces were removed from the analyses when turtles were active to ensure that breathing and metabolism values used for the analyses were resting rates. Turtle activity produced water movement that induced pressure changes that were sensed by the pneumotacograph (noise). This method was verified by comparing the noise in the breathing trace with 24 h-long video recordings of the turtles during the initial autumn trials.
Calculation of the air convection requirement and chemosensitivity
V̇O2 and V̇E were used to calculate the ACR (ml air ml–1 O2) for each hour, where ACR=V̇E/V̇O2.
Condition . | Season . | Q10(V̇O2) . | Q10(V̇E) . | Q10 (ACR) . |
---|---|---|---|---|
Air | Summer | 2.85±0.75 | 2.13±0.76 | 0.85±0.18 |
Winter | 2.11±0.44 | 1.77±0.38 | 0.96±0.46 | |
Hypoxia–Hypercapnia | Summer | 3.03±0.6 | 1.06±0.2 | 0.36±0.11 |
Winter | 3.54±0.56 | 2.8±0.61 | 0.46±0.11 |
Condition . | Season . | Q10(V̇O2) . | Q10(V̇E) . | Q10 (ACR) . |
---|---|---|---|---|
Air | Summer | 2.85±0.75 | 2.13±0.76 | 0.85±0.18 |
Winter | 2.11±0.44 | 1.77±0.38 | 0.96±0.46 | |
Hypoxia–Hypercapnia | Summer | 3.03±0.6 | 1.06±0.2 | 0.36±0.11 |
Winter | 3.54±0.56 | 2.8±0.61 | 0.46±0.11 |
V̇O2, oxygen consumption; V̇E, ventilation and ACR, air convection requirement
Statistical analyses
Data are expressed as means ± s.e.m. Differences between day and night, as well as the effects of season on the daily changes were assessed with two-way repeated-measures analysis of variance (RM ANOVA). Differences between seasons (24 h average) were assessed using one-way RM ANOVA. Holm–Sidak multiple comparisons tests were used to determine pairwise differences. Data that did not meet the assumptions of normal distribution or equal variances were natural log (ln) transformed. Sigma Stat (version 3.11,Systat Software, IL, USA) was used for all statistical analyses.
RESULTS
Daily rhythms in the metabolism and breathing of turtles during exposure to H–H
We have previously shown that there are circadian rhythms in V̇O2 and V̇E in red-eared sliders breathing air (Reyes and Milsom,2009) (Fig. 1D,E). Here we show for the first time that red-eared sliders also have daily rhythms in V̇O2 and V̇E while breathing a H–H gas mixture(V̇O2: P=0.008; V̇E: P=0.003, day–night, two-way RM ANOVA)(Fig. 1A,B).
Daytime fR was higher than night-time fR in all seasons (P<0.001, day–night,two-way RM ANOVA) (Table 3),while VT remained relatively constant throughout the 24 h in all seasons (P=0.236, day–night, two-way RM ANOVA)(Table 3). Changes in fR were solely the result of more frequent breathing episodes during the day (P=0.003, day–night, two-way RM ANOVA)(Table 3); the number and frequency of breaths in each episode did not vary with the time of day[P=0.373 and P=0.222, number and frequency of breaths,respectively, two-way RM ANOVA (data not shown)]. Thus, turtles were apneic longer at night than during the day in all seasons (P=0.002,day–night, two-way RM ANOVA) (Table 3).
. | . | Tidal volume . | . | Breathing frequency . | . | Episodes h–1 . | . | % Time in apnea . | . | ||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Season . | Gas/air . | Day . | Night . | Day . | Night . | Day . | Night . | Day . | Night . | ||||
Summer | H–H | 11.3±0.6 | 12.7±0.9 | 9.6±1.2* | 6.6±0.6 | 32.2±3.4 | 29.9±4.1 | 74.3±3* | 80.9±1.6 | ||||
Air | 5.5±0.6 | 6.3±0.7 | 3.1±0.3 | 2.1±0.1 | 22.4±2.9 | 17.2±1.4 | 92.5±0.9 | 94.5±0.4 | |||||
Autumn | H–H | 13.8±0.8 | 13.1±0.8 | 10.6±1.3* | 4.9±0.6 | 33.5±5.4* | 16.3±3.6 | 67.7±4.3* | 84.4±2 | ||||
Air | 6.7±0.8 | 5.7±0.4 | 2.9±0.3† | 1.5±0.2 | 15.9±1.9† | 10.3±1.7 | 92.4±1.1† | 95.9±0.5 | |||||
Winter | H–H | 10.2±2.3 | 6.8±1.9 | 3.04±0.7* | 1.6±0.4 | 20.1±4.5* | 12.6±4.1 | 87.6±2.8* | 93.5±1.9 | ||||
Air | 5.4±0.9 | 3.3±0.7 | 1.5±0.1† | 0.5±0.1 | 14±2.3† | 5±1.5 | 94.1±0.6† | 98±0.6 | |||||
Spring | H–H | 20.3±1.4 | 19.5±1.3 | 8.6±1.1* | 4.9±0.6 | 43.1±3.9 | 28.7±4.5 | 72.6±3.5* | 83.6±2.3 | ||||
Air | 6.1±0.3 | 7.99±0.6 | 1.8±0.2† | 1.2±0.2 | 14.9±1.5† | 10.7±2.1 | 94.9±0.4† | 96.6±0.5 |
. | . | Tidal volume . | . | Breathing frequency . | . | Episodes h–1 . | . | % Time in apnea . | . | ||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Season . | Gas/air . | Day . | Night . | Day . | Night . | Day . | Night . | Day . | Night . | ||||
Summer | H–H | 11.3±0.6 | 12.7±0.9 | 9.6±1.2* | 6.6±0.6 | 32.2±3.4 | 29.9±4.1 | 74.3±3* | 80.9±1.6 | ||||
Air | 5.5±0.6 | 6.3±0.7 | 3.1±0.3 | 2.1±0.1 | 22.4±2.9 | 17.2±1.4 | 92.5±0.9 | 94.5±0.4 | |||||
Autumn | H–H | 13.8±0.8 | 13.1±0.8 | 10.6±1.3* | 4.9±0.6 | 33.5±5.4* | 16.3±3.6 | 67.7±4.3* | 84.4±2 | ||||
Air | 6.7±0.8 | 5.7±0.4 | 2.9±0.3† | 1.5±0.2 | 15.9±1.9† | 10.3±1.7 | 92.4±1.1† | 95.9±0.5 | |||||
Winter | H–H | 10.2±2.3 | 6.8±1.9 | 3.04±0.7* | 1.6±0.4 | 20.1±4.5* | 12.6±4.1 | 87.6±2.8* | 93.5±1.9 | ||||
Air | 5.4±0.9 | 3.3±0.7 | 1.5±0.1† | 0.5±0.1 | 14±2.3† | 5±1.5 | 94.1±0.6† | 98±0.6 | |||||
Spring | H–H | 20.3±1.4 | 19.5±1.3 | 8.6±1.1* | 4.9±0.6 | 43.1±3.9 | 28.7±4.5 | 72.6±3.5* | 83.6±2.3 | ||||
Air | 6.1±0.3 | 7.99±0.6 | 1.8±0.2† | 1.2±0.2 | 14.9±1.5† | 10.7±2.1 | 94.9±0.4† | 96.6±0.5 |
Denotes differences between day and night within seasons under hypoxia–hypercapnia (H–H)
denotes differences between day and night within seasons on air(Holm–Sidak pairwise comparison)
While day–night differences in the breathing pattern of turtles exposed to the H–H gas were similar to those observed in animals breathing air (Table 3)(Reyes and Milsom, 2009), the daytime increases in breathing under H–H were larger than the increases in V̇O2, giving rise to daily rhythms in ACR (P<0.001, day–night, two-way RM ANOVA) that were not present in animals breathing air(Fig. 1C).
Daily rhythms in chemosensitivity
H–H reduced V̇O2 in the autumn(day: 37%, night: 11%), summer (day: 17%, night: 3%) and winter (day: 40%,night: 0.5%). In spring, however, both daytime and night-time metabolism increased (130% and 56%, respectively) when turtles were breathing the H–H gas. The magnitude of these changes, in absolute terms, was the same during the day and the night (P=0.165, day–night, two-way RM ANOVA) (Fig. 2A).
H–H also caused an increase in V̇E (summer–day: 536%,summer–night: 538%; autumn–day: 629%, autumn–night: 592%;winter–day: 341%, winter–night: 568%; spring–day: 1496%,spring–night: 990%). This increase was reduced at night in autumn and spring (P<0.05, Holm–Sidak)(Fig. 2B). The ACR increased when animals were breathing the H–H gas (summer–day: 799%,summer–night: 600%; autumn–day: 1627%, autumn–night; 902%;winter–day: 749%, winter–night: 953%; spring–day; 1194%,spring–night: 871%) and this increase in overall ACR (ΔACR:Δ V̇E/ΔV̇O2)varied between day and night across all seasons (P=0.002,day–night, two-way RM ANOVA) (Fig. 2C). Thus, daily changes in V̇E were not simply due to changes in metabolism but were the result of daily cycles in the sensitivity of chemoreflexes to respiratory stimuli.
Exposure to four days of constant darkness blunted daily oscillations in the chemoreflex response of red-eared sliders. `Daytime' changes in ventilation (ΔV̇E)under constant darkness were reduced by 63% from day values under the natural photocycle whereas the decrease in the night ventilatory response was less(21% decrease under constant darkness). As a result no day–night differences in respiratory responses were observed after four days of constant darkness (ΔV̇E: P=0.118; ΔACR: P=0.480, Holm–Sidak)(Fig. 3).
Seasonal rhythms in the metabolism and breathing of turtles during exposure to H–H
As we have shown for red-eared sliders held in normoxia(Reyes and Milsom, 2009), when turtles were given the H–H gas mixture to breathe they also showed a seasonal cycle in metabolism. We measured the highest rates of V̇O2 in the summer and metabolism decreased seasonally as expected with temperature changes(P<0.001, one-way RM ANOVA)(Fig. 4C). V̇E showed the same general pattern between seasons as metabolism, except that V̇E was not as elevated in summer (P=0.013, one-way RM ANOVA)(Fig. 4A). Overall differences in metabolism between seasons seemed to result solely from the effects of temperature on V̇O2, because these differences were not apparent after temperature correction(P=0.266, one-way RM ANOVA, 14.7°C)(Fig. 4D). By contrast, V̇E remained elevated in the spring and reduced in the winter after correction for temperature(P<0.001, one-way RM ANOVA)(Fig. 4B).
Seasonal changes in the V̇O2 and V̇E of turtles breathing the H–H gas showed similar trends as those observed in turtles breathing air. Seasonal differences in breathing during H–H were caused by small changes in VT and large changes in fR(VT: P=0.013; fR: P<0.001, one-way RM ANOVA)(Table 4). fR in H–H changed due to alterations in the number and frequency of breaths within breathing episodes (P<0.001,one-way RM ANOVA) (Table 4) not due to changes in the frequency of breathing episodes (P=0.076,one-way RM ANOVA) (Table 4). These changes in the breathing pattern resulted in a considerable increase in the time spent in apnea during winter (P<0.001, one-way RM ANOVA)(Table 4).
Season . | Gas/air . | Tidal volume . | Breathing frequency . | Frequency of episodes . | Breaths per episode . | Inst. frequency . | % Time apnea . |
---|---|---|---|---|---|---|---|
Summer | H–H | 11.8±0.7 | 8.6±0.9 | 31.4±3.3 | 17.8±2.6 | 0.60±0.03 | 76.5±2.4 |
a, b | a | a, c | a | a | |||
Air | 5.8±0.6 | 2.8±0.3 | 20.6±2.3 | 8.5±0.8 | 0.70±0.02 | 93.2±0.7 | |
A, B | A | A | A | A | A | ||
Autumn | H–H | 13.4±0.7 | 7.2±0.8 | 23.3±4.1 | 26.1±5.4 | 0.50±0.03 | 77.8±2.9 |
a, b | a | a | a | a | |||
Air | 6.1±0.5 | 2.1±0.2 | 12.5±1.6 | 11.3±2.3 | 0.60±0.03 | 94.5±0.7 | |
A | B | B | A | A | AC | ||
Winter | H–H | 8.1±1.8 | 2.1±0.4 | 15.4±4.1 | 5.8±1.4 | 0.30±0.05 | 91.3±1.9 |
a | b | b | b | b | |||
Air | 4.1±0.6 | 0.8±0.1 | 8.4±1.6 | 3.6±0.4 | 0.20±0.04 | 96.6±0.3 | |
B | C | C | B | B | B | ||
Spring | H–H | 19.9±1.2 | 7.1±0.8 | 37.1±2.3 | 13±1.1 | 0.50±0.03 | 77.2±2.6 |
b | a | bc | a | a | |||
Air | 6.8±0.3 | 1.5±0.1 | 13±1.5 | 7.5±1.1 | 0.60±0.03 | 95.6±0.3 | |
A | B | B | A | A | B, C |
Season . | Gas/air . | Tidal volume . | Breathing frequency . | Frequency of episodes . | Breaths per episode . | Inst. frequency . | % Time apnea . |
---|---|---|---|---|---|---|---|
Summer | H–H | 11.8±0.7 | 8.6±0.9 | 31.4±3.3 | 17.8±2.6 | 0.60±0.03 | 76.5±2.4 |
a, b | a | a, c | a | a | |||
Air | 5.8±0.6 | 2.8±0.3 | 20.6±2.3 | 8.5±0.8 | 0.70±0.02 | 93.2±0.7 | |
A, B | A | A | A | A | A | ||
Autumn | H–H | 13.4±0.7 | 7.2±0.8 | 23.3±4.1 | 26.1±5.4 | 0.50±0.03 | 77.8±2.9 |
a, b | a | a | a | a | |||
Air | 6.1±0.5 | 2.1±0.2 | 12.5±1.6 | 11.3±2.3 | 0.60±0.03 | 94.5±0.7 | |
A | B | B | A | A | AC | ||
Winter | H–H | 8.1±1.8 | 2.1±0.4 | 15.4±4.1 | 5.8±1.4 | 0.30±0.05 | 91.3±1.9 |
a | b | b | b | b | |||
Air | 4.1±0.6 | 0.8±0.1 | 8.4±1.6 | 3.6±0.4 | 0.20±0.04 | 96.6±0.3 | |
B | C | C | B | B | B | ||
Spring | H–H | 19.9±1.2 | 7.1±0.8 | 37.1±2.3 | 13±1.1 | 0.50±0.03 | 77.2±2.6 |
b | a | bc | a | a | |||
Air | 6.8±0.3 | 1.5±0.1 | 13±1.5 | 7.5±1.1 | 0.60±0.03 | 95.6±0.3 | |
A | B | B | A | A | B, C |
Significant differences between seasons (P<0.05, one-way RM ANOVA) are indicated by different lowercase letters (H–H) and uppercase letters (air) (N=6 for summer and spring, N=8 for winter and fall)
Seasonal rhythms in chemosensitivity
V̇O2 fell when turtles were given the H–H gas instead of air in all seasons (13, 26 and 28% reduced in the summer, autumn and winter, respectively) (P=0.003,one-way RM ANOVA) except spring when metabolism increased by 95%(Fig. 5A). By contrast, V̇E increased in all seasons during H–H (summer: 539%; autumn: 615%; winter: 416%; spring: 1302%; P<0.001) (Fig. 5B)and this increase was greatest in the spring and lowest in the winter. H–H increased the ACR in all seasons (summer: 728.6%; autumn: 1204%;winter: 604%; spring: 1041%; P=0.001) but the magnitude of this change was similar in all seasons except summer when it increased the least(Fig. 5C).
To remove the effects of temperature on the metabolism and ventilation of turtles, we then temperature corrected the V̇E and V̇O2 values measured in all seasons under both H–H and air to 14.7°C using temperature coefficients (Q10 values) and used these values to calculate theΔ V̇E,Δ V̇O2 andΔACR. The absolute change in V̇O2 in the spring was significantly different from that in the autumn and summer(P<0.05, Holm–Sidak test). Differences between spring and winter were lost, however, after correcting for temperature(P>0.05, Holm–Sidak test)(Fig. 6A). Red-eared sliders still showed elevated ventilatory responses to H–H in the spring and reduced ventilatory responses in the winter when temperature effects were removed (P<0.001, one-way RM ANOVA)(Fig. 6B). However, after temperature correction, the increase in ventilation relative to metabolism(ΔACR) did not vary between seasons (P=0.428, one-way RM ANOVA)(Fig. 6C).
DISCUSSION
The main goal of our present study was to determine whether respiratory chemosensitivity varied daily and/or seasonally in red-eared sliders. Respiratory chemosensitivity is normally defined in mammals as a unit change in V̇E arising from a unit change in arterial gas partial pressure(ΔV̇E/ΔPaO2/CO2). In the present study we did not measure blood gases due to the difficulty of maintaining cannulae open for over a year. As a result we report only theΔ V̇E between animals breathing air and the H–H gas (i.e. no units of change in stimulus intensity). In ectotherms, metabolism and temperature can alter the relationship between V̇E and PaO2/CO2. We therefore corrected for these factors by standardizing V̇E to V̇O2 (ACR), and also adjusting these values for changes in temperature between seasons. After taking these precautions, we found that the day–night differences in V̇E resulted from daily changes in chemoreflex sensitivity but that the seasonal changes were directly related to changes in metabolism.
Daily rhythms in ventilatory sensitivity
Red-eared sliders in our study showed a reduced respiratory response to the H–H stimulus at night compared with the day. Time of the day has been shown to affect the ventilatory response to hypoxia, hypercapnia or both stimuli combined in mammals (Stephenson et al., 2000; Jarsky and Stephenson, 2000; Mortola and Seifert, 2002; Mortola,2004) and birds (Woodin and Stephenson, 1998), and now we have shown this in reptiles.
The mechanisms underlying day–night changes in ventilatory responses have not yet been elucidated, although interesting species-specific differences have been found. Rats had a higher ventilatory response to hypoxia and hypercapnia at night, when they were active, than during the day. These oscillations in breathing were correlated to daily changes in metabolism and not to changes in chemosensitivity because the hyperventilatory response did not vary between day and night (i.e. there was no %ΔACR between night and day) (Peever and Stephenson,1997; Mortola and Seifert,2000; Seifert and Mortola,2002a; Seifert and Mortola,2002b). In humans, however, the ventilatory response to hypercapnia was higher in the day and was independent of metabolism or sleep(Stephenson et al., 2000; Mortola and Seifert, 2002; Mortola, 2004), indicative of an endogenous daily cycle in chemosensitivity. In the present study we did not attempt to determine to what extent the day–night differences seen in chemosensitivity were a result of changes in sleep state. State of arousal is known to affect both the hypoxic and hypercapnic ventilatory responses in mammals. Although, the variability between species is large, the general consensus is that the hypercapnic ventilatory response is blunted during sleep and the hypoxic ventilatory response is reduced or unchanged(Phillipson et al., 1978; Bowes et al., 1981; Hunter et al., 1998; Mortola, 2004). Sleep patterns have been described in turtles and lizards(Flanigan, 1973; Flanigan et al., 1974) and periodic reductions in fR have been reported in pythons and lizards during `sleep' (Donnelly and Woolcock, 1977; Cragg,1978). Thus, our data support the notion that turtles have a daily rhythm in respiratory sensitivity that is independent of circadian changes in metabolism, activity and temperature but we cannot rule out changes in state. Mortola (Mortola, 2004)suggested that the species difference between rats and humans could reflect the fact that circadian changes in ventilation are coupled to changes in metabolism in rats where these changes are rapid and sleep state is fragmented but endogenous in humans where the changes in metabolism are small and slow and the sleep cycle is prolonged. Metabolism in turtles also changes slowly,and is further constrained by changes in environmental temperature, perhaps increasing selection pressure on alternate mechanisms to reduce ventilation during periods of inactivity.
Free-running rhythms (constant temperature and D–D or L–L photocycles) in metabolism and ventilation have been shown in the box turtle,garter snake, European green lizard and red-eared slider(Glass et al., 1979; Hicks and Riedesel, 1983; Rismiller and Heldmaier, 1991; Reyes and Milsom, 2009). In the present study we found that four days of constant darkness was sufficient to abolish the day–night difference in chemosensitivity. Interestingly,this was caused by a reduction in the `daytime' value, while `night-time'ventilatory sensitivity did not change from the levels seen under the natural photocycle. The same turtles continued to show day–night differences in metabolism and ventilation after three days in constant darkness while breathing air, although the cycles were blunted and the period was slightly shifted (Reyes and Milsom,2009). The loss in the day–night difference in chemosensitivity after four days of constant darkness does not imply that the daily changes in the physiological variables were not driven by a circadian system. Removal of all environmental cues typically reduces the amplitude of daily rhythms, until the rhythms are lost altogether(Aschoff et al., 1982; Kenagy and Vleck, 1982; Underwood, 1992; Tosini et al., 2001). Tegu lizards have also been shown to lose circadian oscillations in metabolism over time (Milsom et al., 2008). There was large variability in the response of these lizards to constant darkness, with some individuals losing the rhythms after a day in constant darkness and others maintaining the rhythms up to 14 days.
Unfortunately, it is impossible for us to determine where in the reflex arc that underlies the ventilatory response to H–H, changes occurred or even whether the changes were in the hypoxic, hypercapnic or both components of the response. While hypoxia is only sensed by peripheral chemoreceptors,hypercapnia stimulates both central and peripheral chemoreceptors, and the central brainstem sites involved in processing both stimuli are different(Shelton and Boutilier, 1982; Shelton et al., 1986; Milsom, 1990). We used a H–H gas mixture, however, to mimic the respiratory stimuli that turtles experience during submergence (Burggren and Shelton, 1979; Shelton and Boutilier, 1982).
Regardless of the mechanism behind the daily changes in chemosensitivity of turtles, it is clear that night-time reductions in chemosensitivity should reduce sensitivity to a fall in oxygen stores and an accumulation of CO2 in the blood, and thus allow for longer dives. This appears to be true for other diving species as well. Thus, canvasback ducks showed reduced chemosensitivity to progressive asphyxia during the night-time that was independent of metabolism. These animals forage underwater at night and increasing the level of blood gases at which chemoreflexes are elicited at this time was suggested to allow them to prolong their dives and foraging times (Wooding and Stephenson, 1998). In red-eared sliders, the endogenous circadian rhythms in metabolism (lower at night)(Reyes and Milsom, 2009) along with daily oscillations in chemoreflex responses (independent of metabolism)allow these turtles to reduce the locomotion costs and predation risks associated with surfacing to breathe at night.
Seasonal rhythms in ventilatory sensitivity
Red-eared sliders showed seasonal differences in their ventilatory response to H–H: it was reduced in the winter and elevated in the spring. This may not seem surprising because it is well established that sensitivity to hypoxia or hypercapnic–acidosis increase with temperature(Shelton and Boutilier, 1982; Glass et al., 1983; Glass et al., 1985; Funk and Milsom, 1987). In our study, however, seasonal changes in the H–H response remained after the data were temperature corrected, and appeared to have resulted from the effects of the respiratory stimulus on metabolism and not from changes in chemosensitivity, because the change in ACR (ΔACR) did not vary with season.
The reduced ventilatory response during winter coincides with the dormancy period. Temperate reptiles, including red-eared sliders, often undergo active metabolic suppression, when metabolism cannot be sustained under winter environmental conditions (Mayhew,1965; Bennett and Dawson,1976; Gregory,1982; Ultsch,1989; Zari, 1999). Toads and bullfrogs also show reduced metabolism and a lower ventilatory response to hypoxia [toads (Bicego-Nahas et al., 2001)] and hypercapnia [bullfrogs(Bicego-Nahas and Branco,1999)] in the winter. It would appear that seasonal reductions in both, the temperature-corrected resting ventilation and in the ventilatory response to H–H of red-eared sliders were due to the orchestrated fall in metabolism.
Short photoperiods in the autumn trigger behaviors such as fasting and selection of lower temperatures (Cagle 1950; Gregory,1982; Rismiller and Heldmaier,1982), which will slowly reduce metabolism in preparation for dormancy (Bennett and Dawson,1976). Turtles in our study underwent anorexia in the late autumn and did not eat in the winter. For many reptiles, the highest metabolic rates occur after feeding, with metabolism falling dramatically during fasting. Furthermore, during long periods of fasting the digestive system atrophies removing the daily cost of regeneration(Wang et al., 2001). Although reduced gut mass and lack of feeding may have influenced winter metabolism,the seasonal trends in V̇O2 cannot be solely explained by changes in feeding regime. Turtles in our study stopped eating voluntarily in mid–late autumn and this continued throughout the winter. Thus, if feeding were important, temperature-corrected metabolism in the autumn (in animals breathing air) should also have been partially reduced and this was not the case (Fig. 4C,D).
V̇E increased in all seasons with exposure to H–H, which agrees with other studies on reptiles (Jackson, 1973; Jackson et al., 1974; Glass et al., 1985; Shelton et al., 1986). However, the increase in spring V̇E was larger than that in all other seasons even after temperature correction. Red-eared sliders mate during the spring (Cagle, 1950; Duvall et al., 1982; Ernst and Barbour, 1989; Kuchling, 1999) and hormones involved in reproduction may be the source of the elevated metabolism and the higher ventilatory response during this season(Tatsumi et al., 1997). Higher metabolic rates during oogenesis and mating have also been reported in Lacerta viridis (Rismiller and Heldmaier, 1991).
Paradoxically, while the ventilatory response to H–H was greatest in the spring, resting metabolism and ventilation in animals breathing air were very low (Fig. 4)(Reyes and Milsom, 2009)remaining at winter levels. In all cases, however, the changes in ventilation and metabolism occurred in parallel, suggesting that the spring time increases in the H–H ventilatory response were a result of spring time increases in the effects of H–H on metabolism and not the result of seasonal changes in chemosensitivity. The reasons for this are not clear. Hypoxia and/or hypercapnia generally suppress metabolism, if anything, and this was the trend that was seen in all other seasons. It is possible that cause and effect are reversed here and that metabolism increases because of the very large increase in ventilation rather than vice versa, but estimates of the oxidative cost of ventilation in turtles remain controversial. Estimates of the relative metabolic cost of breathing based on the elimination of breathing by unidirectional ventilation(Kinney and White, 1977) or based on changes in ventilation and metabolism associated with hypoxic exposure (Wang and Warburton,1995; Skovgaard and Wang,2004) suggest that the costs could be as high as 15–20% of resting metabolism. Estimates based on changes in ventilation and metabolism associated with hypercapnic exposure, however, suggest the costs are extremely small and often overshadowed by an acidosis-induced metabolic suppression leading to a paradoxical decrease in metabolism with an increase in breathing(Wang and Warburton, 1995; Skovgaard and Wang, 2004). This issue remains to be resolved, as does the source of the increase in metabolism described here.
Conclusion
What we have measured in this study is the response to a fixed stimulus applied at the lungs. The stimuli for the chemoreceptors involved in ventilatory regulation are the arterial blood gases(PaO2, PaCO2 and pH) at the peripheral receptors and the PaCO2/pH of the cerebral spinal fluid (CSF);however, these were not measured. As a result, the changes in chemosensitivity that we describe may have been due to changes in the sensitivity of the peripheral arterial chemoreceptors per se or to changes in the PaO2/PaCO2/pH at receptor sites. The latter could occur due to daily and/or seasonal changes in the magnitude of the cardiac shunt that is known to be large in turtles. There were seasonal changes in temperature that are also known to give rise to changes in the ACR and hence to resting blood gas tensions. To add to the complexity, similar changes in baseline blood gas tensions initiated from different baseline blood gas levels may give rise to different responses due to the non-linearity of the hypoxic ventilatory response (the same change in blood gases may not amount to the same change in stimulus when starting from different baselines) (Glass,1992). Finally, even when no changes were seen in chemosensitivity as a function of season, this could have been due to seasonal changes in cardiac shunting acting to maintain constant blood gas tensions(Wang and Hicks, 1996; Wang et al., 1997). Any such changes, however, are part of daily and seasonal rhythms. In this study we are looking at the whole animal output for a given environmental input and determining the mechanistic basis of these changes will be the next challenge.
Mechanism aside, red-eared sliders showed reduced respiratory chemosensitivity at night and in the winter, and enhanced chemosensitivity in the spring. Day and night differences resulted from daily oscillations in the sensitivity of chemoreflexes whereas seasonal differences could be explained by the effects of the H–H stimuli on metabolism. Regardless of the different mechanisms, daily and seasonal changes in the ventilatory response together with circadian and circannual rhythms in metabolism(Reyes and Milsom, 2009)benefit turtles by facilitating longer apneas. These physiological changes will reduce time at the surface and may be important for minimizing the cost of locomotion at times when the cost of surfacing or risk of predation may compromise their survival.
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FOOTNOTES
The authors are grateful to Kim Borg and Crystal Brauner for their contribution with data analyses. Dr Dave Jones, Dr Colin Brauner, Dr Jonathan Shurin, Graham Scott and Dr Angelina Fong provided useful comments and constructive criticism. The authors also want to thank Bruce Gillespie,Vincent Grant and Don Brandys for the construction of the experimental set-up and Ray Dahlby for the manufacture of the gas analyzer used to obtain the metabolic rate data. This study was funded by NSERC (Canada).