We have previously shown that the food intake and milk production of MF1 laboratory mice lactating at 30°C, 21°C and 8°C increase as temperature declines. These data suggest that mice are not limited peripherally by the capacity of the mammary glands to produce milk but are limited by the capacity of the animal to dissipate body heat generated as a by-product of food processing and milk production. Here, we measure resting metabolic rate (RMR; prior to breeding and at peak lactation) and organ morphology (at peak lactation) in MF1 mice exposed to 30°C(thermoneutrality) and compare these traits with the same parameters measured previously in mice at 21°C and 8°C. The masses of visceral organs primarily responsible for energy flux (heart, lungs, stomach, small intestine,large intestine, liver, pancreas, spleen and kidneys) increased as temperature declined. The masses of all these organs differed between mice exposed to 8°C and 21°C, whereas only the masses of heart, liver and kidneys differed between mice at 21°C and 30°C. The increases in organ masses were paralleled by increases in RMR at peak lactation above the levels measured prior to breeding, with mice at 8°C and 21°C having significantly higher increases in RMR than mice at 30°C (29.6 kJ day–1, 25.5 kJ day–1 and 8.1 kJ day–1, respectively). The observed changes in visceral organs and RMR are consistent with both the heat dissipation and peripheral limit hypotheses. However, mice exposed to 8°C had substantially larger mammary glands than mice at 21°C or 30°C (2.450 g, 1.115 g and 0.956 g dry mass, respectively), which argues against the peripheral limitation hypothesis and is consistent with the heat dissipation limit hypothesis. In addition, cold exposure resulted in greater masses of brown adipose tissue,white adipose tissue, pelage and tail. We discuss these changes in the context of the potential thermoregulatory benefits from use of the heat generated as a by-product of milk synthesis.

During peak lactation, at least two strains of mice (MF1 and Swiss Webster)and a species of rat (hispid cotton rat Sigmodon hispidus) modulate their food intake in relation to the prevailing ambient temperature(Hammond et al., 1994; Rogowitz, 1998; Johnson and Speakman, 2001; Król and Speakman,2003a). This was initially interpreted as a consequence of fixed limitation of the ability of small rodents to synthesise milk imposed at the mammary glands (peripheral limitation hypothesis; Hammond et al., 1994), in combination with increasing thermoregulatory demands as it gets colder. Therefore, at a constant ambient temperature, manipulations such as giving mice more pups to raise (Hammond and Diamond, 1992; Johnson et al.,2001a) or artificially extending lactation to 24 days(Hammond and Diamond, 1994)did not result in elevated maternal food intake but instead resulted in smaller pups – primarily because the mothers appeared unable to upregulate their milk production in response to elevated demands by the pups. Hence, eating more food would not resolve the problem posed by the manipulations. In the cold, however, the extra thermoregulatory demand placed on the mother does not require an elevation in milk production, so increasing food intake to meet these extra demands is a viable strategy. Consistent with the combined demands interpretation of the peripheral limits, Hammond et al.(1996) showed that surgical removal of half of the mammary glands did not result in compensatory increases in milk production by the remaining glands. Furthermore, Rogowitz(1998) demonstrated in hispid cotton rats that milk production was relatively constant at warm and cold temperatures.

However, other observations are harder to reconcile with this framework. For example, mice at peak lactation that are simultaneously pregnant(Johnson et al., 2001c) or forced to exercise (Perrigo,1987) do not eat more food than mice that are only lactating,despite the fact that these manipulations do not require elevations in milk energy output. In addition, in MF1 mice, milk production is not constant as a function of ambient temperature (Johnson and Speakman, 2001; Król and Speakman,2003b) but rather closely mirrors changes in food intake. This pattern appears to be linked to the ability of mice to dissipate body heat generated as a by-product of processing food and producing milk (Król and Speakman 2003a,b). At lower temperatures, there is a greater driving gradient for heat loss,which permits the mice to increase their heat production, thereby allowing greater milk production and hence greater food intake (Król and Speakman, 2003a,b).

It has been widely suggested that the maximal capacity for daily energy expenditure (DEE) is regulated by the level of resting metabolic rate(RMR) (Drent and Daan,1980; Peterson et al.,1990; Weiner,1992). This might occur because RMR reflects the energy demands of sustaining the visceral organs that are responsible for most of the energy flux observed as DEE and hence food intake. The heat dissipation limit hypothesis (Król and Speakman, 2003a,b)suggests that the route of causality in these associations may be reversed. DEE may be limited by heat dissipation capacity, which defines the sizes of organs that will be necessary to supply this energy, and these organs in turn establish the rates of RMR. Hence, the heat dissipation model predicts that the components of morphology responsible for the energy flux through the body will be smaller at higher ambient temperatures and this will result in a smaller increase of RMR in lactation above the level observed prior to breeding. To test these ideas, we measured RMR(prior to breeding and at peak lactation) and organ morphology (at peak lactation) in MF1 laboratory mice exposed to 30°C (thermoneutrality) and compared these traits with the same parameters measured in mice at 21°C and 8°C (Johnson et al.,2001b; Johnson and Speakman,2001).

Animals

Experiments were conducted on female mice (Mus musculus L.:outbred MF1). We used the same individuals as in experiments presented in Król and Speakman(2003a): (1) 28 lactating(group B) and 15 non-reproductive mice for the resting metabolic measurements and (2) nine lactating mice (group C) for the organ morphology measurements. Housing, acclimation and breeding protocols are described in Król and Speakman (2003a).

Resting metabolic rate measurements

We assessed RMR from the rate of oxygen consumption at 30°C(constant-temperature incubator; model INL-401N-010; Gallenkamp, Loughborough,UK), measured during the light phase (between 10:00 h and 17:00 h) by an open-flow respirometry system connected to a paramagnetic oxygen analyser(Model 1100A; Servomex Ltd, Crowborough, UK). Individual mice were placed in a cylindrical Perspex respirometry chamber with rubber stoppers (volume 885 ml)for 3 h. The flow of air (dried with silica gel; BDH Laboratory Supplies,Poole, UK) was maintained by a diaphragm pump (Charles Austen Pumps Ltd,Byfleet, UK) and measured by a wet type laboratory gas flow meter (Model DM3A;G. H. Zeal Ltd, Alexander Wright Division, London, UK) upstream of the chamber. Flow rate was 426–702 ml min–1. Gases leaving the chamber were dried (silica gel) and passed through the oxygen analyser at approximately 150 ml min–1. Carbon dioxide was not absorbed,to maximise accuracy in the derived estimates of energy expenditure when the respiratory quotient (RQ) is not known(Koteja, 1996a; Speakman, 2000). Analyzer outputs were sampled at 30 Hz, averaged and recorded every 30 s by a PC equipped with an analogue-to-digital converter (PC-ADH24; Bede Technology Ltd,Jarrow, UK) and customised BASIC software. The ambient oxygen content of incurrent air was measured before and after each animal was placed in the chamber. These data were used to compensate for any drift in the ambient output of the analyser during each experiment. The rate of oxygen consumption was calculated by multiplying the incurrent flow rate (corrected to STPD) by the decrease in fractional oxygen content between ambient and excurrent flows(Speakman, 2000). RMRwas estimated from the lowest rate of oxygen consumption over 5 min. The RMR data (ml O2 min–1) were converted to energy equivalents using an oxycalorific value of 21.117 J ml–1 O2, derived from the Weir(1949) equation for an RQ of 1(Speakman, 2000). Mean body mass was calculated from mass before and after each run.

The RMR of 43 adult females was measured both when the mice were virgins and 36–50 days later when 28 of the mice were at peak lactation(day 15 and 16 of lactation). The remaining 15 females were non-reproductive controls. All measurements at each time point were repeated for each animal on two consecutive days, to assess the repeatability of respirometry measurements, and then averaged for further analysis. Thus, for each reproducing female we measured RMR prior to breeding(RMRPB) and at peak lactation (RMRL). Non-reproductive females were characterised by RMRNR-1(measured at the same time as RMRPB) and RMRNR-2 (measured at the same time as RMRL).

Organ morphology

On day 18 of lactation, nine females (litter size 8–12) were weighed,killed by cervical dislocation and immediately dissected. We removed brown adipose tissue, abdominal and mesenteric fat depots, brain, thyroid, heart,lungs, liver, spleen, pancreas, kidney, front mammary glands, rear mammary glands and uterus. The gut was cut at the pyloric and cardiac sphincters, the ileocaecal junction and the anus. The excised stomach and small and large intestines were cut open longitudinally to remove any residual gut contents and mucous. The remaining body parts were divided into tail, pelage and carcass, including skeletal muscle and bone. We recorded wet mass of organs(±0.0001 g; Ohaus Analytical Plus), dried them in a convection oven at 60°C for 14 days (Król and Speakman, 1999) and re-weighed them to determine dry mass.

Statistics

Data are reported as means ± s.d. (N = sample size). For mice exposed to 30°C, the significance of changes in body mass and RMR over time was assessed by paired t-tests. The relationship between RMR and body mass was examined by least-squares linear regression analysis. The regression lines for lactating and non-reproductive mice were compared using analysis of covariance (ANCOVA). We calculated residuals for RMR, litter size, pup body mass, litter mass, litter mass increase and food intake from the least-squares regression lines on female body mass. Relationships between body masses of the same individuals measured on separate occasions, RMR measured prior to breeding and at peak lactation and RMR and life-history traits were described using Pearson product-moment correlation coefficients. We compared changes in maternal body mass, RMR and organ morphology following exposure to different temperatures (30°C, 21°C and 8°C) using analysis of variance (ANOVA). The Tukey post-hoc test was used when differentiation between the temperatures was required. The differences in RMR among the three temperatures were also examined by ANCOVA, with maternal body mass as a covariate. All statistical analyses were conducted using Minitab for Windows (version 13.31; Minitab Inc., State College, PA,USA; Ryan et al., 1985). Statistical significance was determined at P<0.05. All tests were two-tailed.

Resting metabolic rate of mice exposed to 30°C

Screening of 172 respirometry files revealed that in 17 cases mice did not stop locomotory activity for longer than 1 min when in the respirometry chamber and therefore did not meet the criterion for measuring RMR. These measurements (2, 1, 4 and 10 files from RMRNR-1, RMRNR-2, RMRPB and RMRL groups, respectively) were omitted from subsequent analyses. As a consequence, 69 RMR data presented here are the mean of two measurements from the consecutive days, while 17 RMR data are based on single measurements. There was no difference between RMRmeasured on two consecutive days (paired t=0.6, P=0.56, N=69). The data from both days were highly correlated(r=0.75, P<0.001, N=69). The repeatability of respirometry measurements, calculated as coefficient of variation between two consecutive day replicates, averaged 7.7±0.8% (N=69).

Reproductive females increased their body mass from 28.6±1.6 g prior to breeding to 35.3±2.0 g at peak lactation (paired t=17.1, P<0.001, N=28). The correlation between pre-breeding and peak lactation body masses marginally failed to reach significance(r=0.34, P=0.07, N=28). The increase in body mass was accompanied by an increase in RMR from 17.9±1.6 kJ day–1 to 26.0±3.5 kJ day–1 (paired t=13.0, P<0.001, N=28). RMRPB was not correlated with RMRL(r=0.32, P=0.10, N=28). The mass-adjusted values(residuals) of RMRPB and RMRL were not correlated either (r=0.06, P=0.77, N=28). However,females with a greater increase in body mass between pre-breeding and peak lactation also had greater increases in RMR (r=0.59, P=0.001). Over the same period of time (36–50 days), the non-reproductive females also increased their body mass (from 30.2±2.4 g to 31.7±3.3 g;paired t=4.1, P=0.001, N=15), but the increase was much less than in reproductive females. The NR-1 and NR-2 body masses were highly correlated (r=0.92, P<0.001, N=15). Despite the increase in body mass, there was no significant difference between RMRNR-1(18.3±2.2 kJ day–1) and RMRNR-2(18.9±2.1 kJ day–1) (paired t=1.1, P=0.30, N=15). There was no correlation between RMRNR-1 and RMRNR-2 (r=0.46, P=0.09, N=15). Residual values of RMRNR-1 and RMRNR-2 were also not significantly correlated (r=0.23, P=0.41, N=15).

RMR increased with body mass in all groups (NR-1, NR-2, PB and L). As anticipated, there was no significant difference in RMR between mice that were destined to breed (PB) and those we selected not to (NR-1)(ANCOVA: interaction body mass × group, P=0.67; body mass effect, F1,40=11.8, P=0.001; group effect, F1,40=0.4, P=0.55). Pooling the data across both these groups (N=43), the relationship between RMR (kJ day–1) and body mass (BM; g) was RMRNR=5.56+0.43BM, with body mass explaining 22.8% of the individual variation in RMRNR(F1,41=12.1, P=0.001). The relationship between RMR and body mass was stronger at peak lactation(RMRL=–18.16+1.25BM), with body mass explaining 52.0% of the variation in RMRL(F1,41=28.1, P<0.001; Fig. 1). The RMR of lactating females was compared with that of NR-1 and NR-2 groups separately. The slope of the regression line for lactating females was higher than for non-reproductive females from the NR-1 group (ANCOVA: interaction body mass× reproductive status, F1,39=4.8, P=0.034)and the NR-2 group (ANCOVA: interaction body mass × reproductive status, F1,39=9.2, P=0.004). This shows that the increase in RMR from a mean of 17.9 kJ day–1 (prior to breeding) to a mean of 26.0 kJ day–1 (peak lactation) was greater than expected from the increase in body mass (on average, 28.6 g prior to breeding and 35.3 g during lactation).

Fig. 1.

Resting metabolic rate (RMR) as a function of body mass for lactating female mice (filled circles; y=–18.16+1.25x; N=28) and non-reproductive female mice (N=15) measured on two separate occasions: NR-1 (open circles; y=2.88+0.51x) and NR-2 (open squares; y=5.99+0.41x). Both lactating and non-reproductive mice were exposed to 30°C.

Fig. 1.

Resting metabolic rate (RMR) as a function of body mass for lactating female mice (filled circles; y=–18.16+1.25x; N=28) and non-reproductive female mice (N=15) measured on two separate occasions: NR-1 (open circles; y=2.88+0.51x) and NR-2 (open squares; y=5.99+0.41x). Both lactating and non-reproductive mice were exposed to 30°C.

For reproductive females, neither RMR measured prior to breeding nor RMR at peak lactation were significantly correlated with any life-history traits (litter size, pup body mass, litter mass and litter mass increase), asymptotic food intake, residual life-history traits or residual asymptotic food intake (Table 1). Using residual RMRPB and residual RMRL yielded no significant correlations either. For non-reproductive females, neither RMRNR-1 nor RMRNR-2 was significantly correlated with food intake or with mass-adjusted food intake (Table 1). There was also no significant correlation when we used residual RMRNR-1 and residual RMRNR-2.

Table 1.

Pearson product-moment correlation coefficients between resting metabolic rate (RMR) and life-history traits and food intake for reproductive (N=28) and non-reproductive (N=15) female mice exposed to 30°C



RMR

Residual RMR
Group/trait
PB/NR-1a
L/NR-2b
PB/NR-1a
L/NR-2b
Reproductive females     
   Litter sizec 0.20 (0.30) -0.10 (0.60) 0.14 (0.49) -0.04 (0.83) 
   Pup body massc -0.08 (0.69) 0.38 (0.05) -0.09 (0.65) 0.30 (0.12) 
   Litter massc 0.24 (0.21) 0.21 (0.29) 0.14 (0.49) 0.15 (0.45) 
   Litter mass increased 0.43 (0.02) -0.10 (0.62) 0.38 (0.04) -0.13 (0.49) 
   Asymptotic food intakee 0.31 (0.10) 0.32 (0.09) 0.27 (0.17) 0.15 (0.46) 
   Residual litter size 0.18 (0.35) -0.12 (0.55) 0.12 (0.54) -0.03 (0.86) 
   Residual pup body mass -0.11 (0.58) 0.35 (0.07) -0.11 (0.56) 0.31 (0.11) 
   Residual litter mass 0.15 (0.44) 0.13 (0.51) 0.06 (0.75) 0.19 (0.34) 
   Residual litter mass increase 0.41 (0.03) -0.12 (0.55) 0.36 (0.06) -0.13 (0.52) 
   Residual food intake 0.13 (0.52) 0.16 (0.40) 0.12 (0.55) 0.24 (0.21) 
Non-reproductive females     
   Food intakef 0.53 (0.04) 0.08 (0.78) 0.50 (0.06) -0.04 (0.88) 
   Residual food intake 0.08 (0.78) 0.01 (0.96) 0.02 (0.94) -0.01 (0.98) 


RMR

Residual RMR
Group/trait
PB/NR-1a
L/NR-2b
PB/NR-1a
L/NR-2b
Reproductive females     
   Litter sizec 0.20 (0.30) -0.10 (0.60) 0.14 (0.49) -0.04 (0.83) 
   Pup body massc -0.08 (0.69) 0.38 (0.05) -0.09 (0.65) 0.30 (0.12) 
   Litter massc 0.24 (0.21) 0.21 (0.29) 0.14 (0.49) 0.15 (0.45) 
   Litter mass increased 0.43 (0.02) -0.10 (0.62) 0.38 (0.04) -0.13 (0.49) 
   Asymptotic food intakee 0.31 (0.10) 0.32 (0.09) 0.27 (0.17) 0.15 (0.46) 
   Residual litter size 0.18 (0.35) -0.12 (0.55) 0.12 (0.54) -0.03 (0.86) 
   Residual pup body mass -0.11 (0.58) 0.35 (0.07) -0.11 (0.56) 0.31 (0.11) 
   Residual litter mass 0.15 (0.44) 0.13 (0.51) 0.06 (0.75) 0.19 (0.34) 
   Residual litter mass increase 0.41 (0.03) -0.12 (0.55) 0.36 (0.06) -0.13 (0.52) 
   Residual food intake 0.13 (0.52) 0.16 (0.40) 0.12 (0.55) 0.24 (0.21) 
Non-reproductive females     
   Food intakef 0.53 (0.04) 0.08 (0.78) 0.50 (0.06) -0.04 (0.88) 
   Residual food intake 0.08 (0.78) 0.01 (0.96) 0.02 (0.94) -0.01 (0.98) 

All residuals were calculated from regressions on female body mass.

After applying the Bonferroni correction to the significance level (0.05 divided by 10 and 2 comparisons for reproductive and non-reproductive females,respectively), none of the correlations were significant. The P-values for correlations are shown in parentheses.

a

Measured prior to breeding (RMRPB) or as RMRNR-1 in non-reproductive females

b

measured at peak of lactation (RMRL) or as RMRNR-2 in non-reproductive females

c

day 14 of lactation

d

between days 13 and 14 of lactation

e

mean value for days 9-13 of lactation

f

mean value for 8 days before RMRNR-2 was measured

The effect of temperature on maternal RMR

We compared RMR and organ morphology of mice that were raising their first litters in hot (30°C; present study), warm (21°C; Johnson et al., 2001b) and cold (8°C; Johnson and Speakman,2001) temperatures. The hot and the warm mice were exposed to 30°C and 21°C, respectively, through a two-week acclimation period(prior to breeding) as well as the whole course of pregnancy and lactation. The cold mice were maintained at 21°C until the pups had grown fur and were then exposed to 8°C from day 10 of lactation onwards.

All measurements of RMR were conducted at 30°C, using the same respirometry system and the same protocol. Pre-breeding measurements(RMRPB) were taken at the end of the acclimation period to 30°C (hot mice) or 21°C (warm and cold mice). Peak lactation measurements (RMRL) were taken on days 15–16 (hot mice) or 18 (warm and cold mice). Sample sizes for the hot, warm and cold groups were 28, 71 and 15, respectively.

Prior to breeding, the RMR of hot, warm and cold mice averaged 17.9±1.6 kJ day–1, 21.5±6.1 kJ day–1 and 22.2±2.6 kJ day–1,respectively (Table 2; Fig. 2). There was a significant difference between the groups (ANOVA, F2,111=6.0, P=0.003), with hot mice having a lower RMRPB than both warm and cold mice (Tukey pairwise comparisons, P<0.05). As expected, the RMRPBof warm and cold mice did not differ (Tukey pairwise comparison, P>0.05), since at this stage both groups were kept at the same temperature (21°C). Hot mice still had a lower RMRPBthan warm or cold mice after adjusting for the differences in female body mass(ANCOVA: interaction body mass × temperature, P=0.83; body mass effect, F1,110=9.8, P=0.002; temperature effect, F2,110=8.6, P<0.001). At peak lactation, RMR also differed between the groups (ANOVA, F2,111=35.0, P<0.001), with mice at 30°C having a lower RMRL (26.0±3.5 kJ day–1) than mice at 21°C (47.0±13.8 kJ day–1; Tukey pairwise comparison, P<0.05) and mice at 8°C (51.8±14.3 kJ day–1; Tukey pairwise comparison, P<0.05). After adjusting for the differences in maternal body mass, the effect of temperature on RMRL was not significant (ANCOVA: interaction body mass × temperature, P=0.82; body mass effect, F1,110=38.3, P<0.001; temperature effect, F2,110=2.5, P=0.07). The ratios of mean asymptotic food intake(Table 2) to mean RMRL in the hot, warm and cold mice were 7.5, 7.9 and 9.4,respectively.

Table 2.

Resting metabolic rate and food intake of mice exposed to hot(30°C, N=28), warm (21°C, N=71) and cold(8°C, N=15) temperatures



Mice
Trait
Hota
Warma
Coldb
BMPB(g)c 28.6±1.6 27.1±2.1 32.5±2.5 
RMRPB (kJ day-1)d 17.9±1.6 21.5±6.1 22.2±2.6 
BML(g)c 35.3±2.0 44.3±3.2 50.8±5.2 
RMRL (kJ day-1)d 26.0±3.5 47.0±13.8 51.8±14.3 
BM increase(g)e 6.7±2.1 17.1±2.8 18.3±4.2 
RMR increase (kJ day-1)f 8.1±3.3 25.5±13.1 29.6±13.6 
Food intake (kJ day-1)g 194.5±32.0 369.5±40.5 487.8±102.1 


Mice
Trait
Hota
Warma
Coldb
BMPB(g)c 28.6±1.6 27.1±2.1 32.5±2.5 
RMRPB (kJ day-1)d 17.9±1.6 21.5±6.1 22.2±2.6 
BML(g)c 35.3±2.0 44.3±3.2 50.8±5.2 
RMRL (kJ day-1)d 26.0±3.5 47.0±13.8 51.8±14.3 
BM increase(g)e 6.7±2.1 17.1±2.8 18.3±4.2 
RMR increase (kJ day-1)f 8.1±3.3 25.5±13.1 29.6±13.6 
Food intake (kJ day-1)g 194.5±32.0 369.5±40.5 487.8±102.1 

Values are means ± S.D.

a

Hot/warm exposure included an acclimation period, pregnancy and the whole of lactation;

b

cold exposure started on day 10 of lactation, after an acclimation period,pregnancy and nine days of lactation at 21°C;

c

mean body mass during RMR measurements prior to breeding(BMPB) or at peak lactation (BML);

d

resting metabolic rate prior to breeding (RMRPB) or at peak lactation (RMRL);

e

BMLBMPB;

f

RMRLRMRPB;

g

asymptotic food intake (hot mice, Król and Speakman,2003a; warm mice, Johnson et al., 2001a; cold mice, Johnson and Speakman, 2001)

Fig. 2.

Resting metabolic rate (RMR) prior to breeding (open circles) and at peak lactation (filled circles) as a function of body mass in mice exposed to (A) 30°C, (B) 21°C and (C) 8°C (N as in text; for statistical details, see Results).

Fig. 2.

Resting metabolic rate (RMR) prior to breeding (open circles) and at peak lactation (filled circles) as a function of body mass in mice exposed to (A) 30°C, (B) 21°C and (C) 8°C (N as in text; for statistical details, see Results).

The increase in RMR at peak lactation above the level measured prior to breeding (RMRLRMRPB)averaged 8.1±3.3 kJ day–1, 25.5±13.1 kJ day–1 and 29.6±13.6 kJ day–1 in hot,warm and cold mice, respectively (Table 2). Thedifference between the groups was significant (ANOVA, F2,111=26.6, P<0.001), with hot mice having a lower increase in RMR than both warm and cold mice (Tukey pairwise comparisons, P<0.05). However, when we adjusted for the differences in the increase in body mass(BMLBMPB), the effect of temperature on the increase in RMR was not significant (ANCOVA:interaction body mass increase × temperature, P=0.40; body mass increase effect, F1,110=40.3, P<0.001;temperature effect, F2,110=0.8, P=0.47). Thus,the relatively small increase in RMR observed in mice at 30°C was associated with their relatively small changes in body mass(Fig. 3). The increase in body mass at peak lactation above the non-reproductive level averaged 6.7±2.1 g, 17.1±2.8 g and 18.3±4.2 g in hot, warm and cold mice, respectively. These values were significantly different (ANOVA, F2,111=146.9, P<0.001), with hot mice having a smaller increase in body mass than both warm and cold mice (Tukey pairwise comparisons, P<0.05).

Fig. 3.

Relationship between increase in resting metabolic rate (RMR) and increase in body mass at peak lactation above the levels measured prior to breeding, in mice exposed to hot (30°C), warm (21°C) and cold(8°C) temperatures (N as in text). The differences between the groups are not significant (for statistical details, see Results).

Fig. 3.

Relationship between increase in resting metabolic rate (RMR) and increase in body mass at peak lactation above the levels measured prior to breeding, in mice exposed to hot (30°C), warm (21°C) and cold(8°C) temperatures (N as in text). The differences between the groups are not significant (for statistical details, see Results).

The effect of temperature on maternal organ morphology

To evaluate the effect of the hot, warm and cold temperature treatments on maternal morphology, we compared the dry masses of 15 organs: brown adipose tissue, heart, lungs, stomach, small intestine, large intestine, liver,pancreas, spleen, white adipose tissue (abdominal and mesenteric fat), mammary glands, uterus, tail, pelage and carcass. Since the kidneys were used for other analyses (M. S. Johnson and J. R. Speakman, manuscript in preparation),the comparison was made only between wet masses for this organ. All mice were dissected on day 18 of lactation, using the same protocol. The comparisons excluded females that had been previously milked(Król and Speakman,2003b). For the warm and cold groups, dissections were performed on animals that had undergone measurements of RMR. No RMRmeasurements were taken for the mice dissected from the hot group. The sample sizes for the hot, warm and cold groups were 9, 16 and 15, respectively. The morphology data for the hot group are presented in Table 3.

Table 3.

Organ masses for lactating female mice (N=9) exposed to 30°C



Organ mass (g)
Organ
Wet
Dry
Brown adipose tissue 0.149±0.063 0.060±0.026 
Brain 0.438±0.031 0.096±0.006 
Thyroid 0.212±0.066 0.050±0.015 
Heart 0.218±0.047 0.044±0.010 
Lungs 0.461±0.158 0.098±0.037 
Stomach 0.362±0.055 0.085±0.011 
Small intestine 1.295±0.290 0.282±0.068 
Large intestine 0.611±0.061 0.120±0.015 
Liver 2.148±0.288 0.599±0.070 
Pancreas 0.458±0.052 0.113±0.015 
Spleen 0.127±0.033 0.026±0.007 
Kidneys 0.433±0.045 0.097±0.010 
Abdominal fat 0.067±0.061 0.020±0.018 
Mesenteric fat 0.075±0.030 0.014±0.008 
Front mammary gland 1.932±0.435 0.520±0.116 
Rear mammary gland 1.580±0.318 0.435±0.082 
Uterus 0.169±0.032 0.035±0.006 
Tail 0.946±0.119 0.358±0.035 
Pelage 3.696±0.755 1.467±0.650 
Carcass 14.836±0.858 4.331±0.276 


Organ mass (g)
Organ
Wet
Dry
Brown adipose tissue 0.149±0.063 0.060±0.026 
Brain 0.438±0.031 0.096±0.006 
Thyroid 0.212±0.066 0.050±0.015 
Heart 0.218±0.047 0.044±0.010 
Lungs 0.461±0.158 0.098±0.037 
Stomach 0.362±0.055 0.085±0.011 
Small intestine 1.295±0.290 0.282±0.068 
Large intestine 0.611±0.061 0.120±0.015 
Liver 2.148±0.288 0.599±0.070 
Pancreas 0.458±0.052 0.113±0.015 
Spleen 0.127±0.033 0.026±0.007 
Kidneys 0.433±0.045 0.097±0.010 
Abdominal fat 0.067±0.061 0.020±0.018 
Mesenteric fat 0.075±0.030 0.014±0.008 
Front mammary gland 1.932±0.435 0.520±0.116 
Rear mammary gland 1.580±0.318 0.435±0.082 
Uterus 0.169±0.032 0.035±0.006 
Tail 0.946±0.119 0.358±0.035 
Pelage 3.696±0.755 1.467±0.650 
Carcass 14.836±0.858 4.331±0.276 

Values are means ± S.D.

On the day of dissection, the body masses of the hot, warm and cold mice averaged 36.6±3.0 g, 40.8±2.5 g and 51.0±5.5 g,respectively. The differences between the groups were significant (ANOVA, F2,37=43.5, P<0.001; all Tukey pairwise comparisons, P<0.05). Since organ size frequently correlates with body mass (e.g. Selman et al.,2001), comparison of organ morphology usually requires corrections for the differences in body mass. In our study, however, the differences in body mass at peak lactation between the hot, warm and cold mice were a consequence of the exposure to different temperatures(Table 2). Therefore,correcting for differences in body mass would inevitably remove differences caused by the temperature treatment. To avoid this, we compared mean absolute masses of organs by ANOVA (Table 4).

Table 4.

Comparison of dry organ masses of lactating mice exposed to hot(30°C, N=9), warm (21°C, N=16) and cold(8°C, N=15) temperatures



Dry organ mass (g)

ANOVA
Organ
Hot
Warm
Cold
F2,37
P
Brown adipose tissue 0.060a 0.055a 0.136b 18.8 <0.001 
Heart 0.044a 0.061b 0.078c 27.1 <0.001 
Lungs 0.098a 0.081a 0.189b 13.8 <0.001 
Stomach 0.085a 0.076a 0.328b 18.7 <0.001 
Small intestine 0.282a 0.314a 0.398b 9.3 0.001 
Large intestine 0.120a 0.158a 0.235b 28.9 <0.001 
Liver 0.599a 0.859b 1.028c 31.3 0.001 
Pancreas 0.113a 0.188a 0.292b 12.7 <0.001 
Spleen 0.026a 0.022a 0.040b 18.4 <0.001 
Kidneys (wet mass, g) 0.433a 0.557b 0.667c 40.3 <0.001 
White adipose tissue 0.034a 0.050a 0.516b 10.5 <0.001 
Mammary glands 0.956a 1.115a 2.450b 22.3 <0.001 
Uterus 0.035 0.056 0.124 5.1 0.011 
Tail 0.358a 0.324a 0.422b 28.5 <0.001 
Pelage 1.467a 1.294a 1.847b 9.1 0.001 
Carcass 4.331a 4.434a 5.463b 21.6 <0.001 


Dry organ mass (g)

ANOVA
Organ
Hot
Warm
Cold
F2,37
P
Brown adipose tissue 0.060a 0.055a 0.136b 18.8 <0.001 
Heart 0.044a 0.061b 0.078c 27.1 <0.001 
Lungs 0.098a 0.081a 0.189b 13.8 <0.001 
Stomach 0.085a 0.076a 0.328b 18.7 <0.001 
Small intestine 0.282a 0.314a 0.398b 9.3 0.001 
Large intestine 0.120a 0.158a 0.235b 28.9 <0.001 
Liver 0.599a 0.859b 1.028c 31.3 0.001 
Pancreas 0.113a 0.188a 0.292b 12.7 <0.001 
Spleen 0.026a 0.022a 0.040b 18.4 <0.001 
Kidneys (wet mass, g) 0.433a 0.557b 0.667c 40.3 <0.001 
White adipose tissue 0.034a 0.050a 0.516b 10.5 <0.001 
Mammary glands 0.956a 1.115a 2.450b 22.3 <0.001 
Uterus 0.035 0.056 0.124 5.1 0.011 
Tail 0.358a 0.324a 0.422b 28.5 <0.001 
Pelage 1.467a 1.294a 1.847b 9.1 0.001 
Carcass 4.331a 4.434a 5.463b 21.6 <0.001 

Values are absolute means.

For organs with significant P values (bold type), different letters indicate significant differences between the groups, as assessed by the Tukey pairwise comparisons.

The P values in bold type are significant after Bonferroni correction (0.05 divided by 16 comparisons).

The temperature to which the animals were exposed during lactation had a significant effect on masses of most of the organs (apart from the uterus),with mice at 8°C having heavier organs than mice at 21°C and 30°C(Table 4). The masses of heart,liver and kidneys in hot mice were significantly lower than those of the warm mice. The dry masses of brown adipose tissue, lungs, stomach, small intestine,large intestine, pancreas, spleen, white adipose tissue, mammary glands, tail,pelage and carcass did not differ significantly between the hot and warm mice.

We have already demonstrated that limits to sustained energy intake at peak lactation are likely to be imposed centrally by the capacity of the animal to dissipate heat (Król and Speakman, 2003a,b)rather than peripherally by the capacity of mammary glands (Hammond et al., 1994, 1996; Rogowitz, 1998). The main processes that contribute to heat load at peak lactation are digestion and milk production. Consequently, challenging MF1 laboratory mice with a reduced potential heat flow between the animal and the environment by exposing them to 30°C resulted in reduced food intake(Król and Speakman,2003a) and reduced milk production(Król and Speakman,2003b). When we released mice from the heat dissipation constraint by exposing them to 8°C, the animals were able to increase both food intake and milk production (Johnson and Speakman, 2001). It is well documented that maintaining the food intake at elevated levels requires enlarged organs to digest, absorb and process nutrients (gut and liver), deliver nutrients and oxygen to peripheral tissues (heart) and finally excrete the products of metabolism (kidneys; e.g. Toloza et al., 1991; Hammond et al., 1994; Konarzewski and Diamond, 1994; Koteja, 1996b; Speakman and McQueenie, 1996; Starck, 1999; Hammond and Kristan, 2000). Since the elevated food intake of mice exposed to sub-thermoneutral temperatures is predicted by the heat dissipation and peripheral limit hypotheses (Król and Speakman,2003b), the expected changes in organ morphology would also be consistent with both hypotheses. However, in contrast to the peripheral limitation hypothesis, which predicts that the mammary glands would be at maximal size at peak lactation to sustain maximal milk production independent of the temperature, the heat dissipation limit hypothesis predicts that the changes in morphology of the visceral organs would be paralleled by differences in the size of the mammary glands. Furthermore, because of the high mass-specific metabolic rates of heart, liver, kidneys and intestine(e.g. Krebs, 1950; Martin and Fuhrman, 1955; Ferraris, 1994), morphological changes of these organs were anticipated to result in an increase of RMR at peak lactation above the level measured prior to breeding. It was also expected that the extent of this increase would be greater at lower temperatures.

We demonstrated that mice exposed to 30°C had significantly higher RMR at peak lactation than prior to breeding but that the values of RMRPB and RMRL (both absolute and mass-adjusted) were not correlated. An increase in RMR between pre-breeding and peak lactation conditions has been previously shown in MF1 laboratory mice at 21°C (Speakman and McQueenie, 1996; Johnson et al., 2001b) and 8°C(Johnson and Speakman, 2001)as well as in other small rodents (e.g. Garton et al., 1994; Künkele and Trillmich,1997; Antinuchi and Busch,2001). We found no evidence that individual variation in either RMRPB or RMRL was correlated with variation in litter size, litter mass, pup body mass or litter mass increase,for both absolute and residual values(Table 1). Previous studies have also shown no link between maternal RMR and life-history traits at temperatures of 20–22°C in MF1 mice(Johnson et al., 2001b),HSD/ICR mice (Hayes et al.,1992), deer mice (Peromyscus maniculatus; Earle and Lavigne, 1990) and hispid cotton rats (Derting and McClure,1989). It would therefore appear that while the general pattern of increase in RMR during reproduction is compatible with the idea that these changes reflect changes in the capacity of the system to digest and process extra energy to support lactation, at an individual level this association breaks down. The reasons why no relationship between maternal RMR and reproductive performance was observed are unclear, since the repeatability of our RMR measurements was high (coefficient of variation=7.7%) when compared with the overall variation in RMRbetween individuals (20.0–32.6 kJ day–1). Hence, the absence of a link between RMR and life-history traits was probably not because of errors inherent in the RMR estimate. Moreover, the estimates of RMR in the current study were predominantly the average of measures of RMR made on two consecutive days, further reducing variation attributable to analytical factors.

As predicted by both the heat dissipation and peripheral limit hypotheses,the increase in RMR at peak lactation above the level measured prior to breeding was significantly lower in mice exposed to 30°C than in mice at 21°C and 8°C (Table 2; Fig. 2). As temperature declined, increases in RMR were closely paralleled by changes in maternal body mass, and there was no independent temperature effect on RMR (Fig. 3). Examination of the morphological changes of mice at different temperatures revealed a progressive increase in mass as a function of the cold in several organs including heart, lungs, stomach, small intestine, large intestine,liver, pancreas, spleen, kidneys and the mammary glands. However, only the masses of the heart, liver and kidneys differed significantly between all three temperature groups (Table 4). These data indicate that the increased body mass and RMR were a consequence of the increases in the masses of the metabolically active organs – primarily involved in the energy flux through the body. Further tests of heat dissipation and peripheral limit hypotheses should involve measurements of organ safety margins (excesses of capacities over prevailing loads; e.g. Toloza et al., 1991; Diamond, 1998; Hammond, 1998). Since sustaining organ safety margins produces extra heat associated with tissue maintenance and enzyme biosynthesis, we expect these margins to be substantially reduced in mice at 30°C.

Milk energy output (MEO) in mice exposed to 21°C and 8°C was 90.1% and 228.4%, respectively, higher than the level measured in mice at 30°C (87.7 kJ day–1; Król and Speakman,2003b). The increase in MEO was paralleled by the increase in the mass of mammary glands (16.6% in mice at 21°C and 156.3%in mice at 8°C), although the difference between the warm and hot groups was not significant (Table 4). Thus, the increase in milk production by 228.4% at 8°C was associated with a substantial increase in the mass of the mammary glands, whereas the 90.1%increase in MEO at 21°C was accommodated by mammary glands of a size similar to those at 30°C. These results suggest that mass might be a poor indicator of capacity of mammary glands to produce milk, especially when no adjustments are made for individual variation in organ composition such as lipid or connective tissue content. The use of techniques that measure the number of mammary secretory cells (e.g. the bromodeoxyuridine-labelling index; Capuco et al., 2002), the activity of the secretory cells (e.g. the explant method; Wilde et al., 1999) and the rate of their apoptosis (e.g. DNA laddering intensity; Wilde et al., 1997) could be more informative.

Although cold exposure enabled mice to increase milk production by releasing them from the heat dissipation constraint, there were some changes in the maternal organ morphology that suggest that cold was still a thermoregulatory burden. These include increases in the masses of brown adipose tissue, white adipose tissue, pelage and tail(Table 4). Changes in these organs are often observed in non-reproductive small rodents exposed to cold,since brown adipose tissue hypertrophy is associated with elevated non-shivering thermogenesis (e.g. Klaus et al., 1988), bigger white adipose tissue depots and heavier pelts provide better insulation (e.g. Heldmaier and Steinlechner, 1981), and increased vascularisation of peripheral tissue (e.g. tail and ears) prevents frostbite (e.g. Héroux, 1959). The fact that mice lactating at 8°C benefited from cold exposure in terms of reproductive performance but at the same time underwent morphological changes that increase heat production and improve heat retention has three possible explanations. First, heat generated via food processing and milk production might not be used to offset the costs of thermoregulation, either fully or partially. Such a lack of any level of compensation of thermoregulatory costs by the biochemical heat increment of feeding has been demonstrated in star-nosed moles (Condylura cristata; Campbell et al., 2000).

The second possibility is that heat produced from elevated food intake and milk production can substitute for active thermogenesis, but only partially. In this case, mice at 8°C would still need more brown adipose tissue,better insulation and increased vascularisation of peripheral tissue. This view is supported by a study of thermoregulation in Sprague-Dawley female rats(Eliason and Fewell, 1997). According to the data presented by Eliason and Fewell in fig. 3, RMR of non-reproductive rats averaged 72 ml O2 kg–1min–1 at 14°C and 22 ml O2kg–1 min–1 at 28°C (thermoneutrality),giving thermoregulatory costs of 50 ml O2 kg–1min–1. However, when lactating rats (day 20 post partum) were measured at 14°C, their RMR averaged 60 ml O2kg–1 min–1, i.e. 12 ml O2kg–1 min–1 below the level of non-reproductive individuals. These data suggest that the 24% reduction in thermoregulatory costs of lactating rats (12 of 50 ml O2kg–1 min–1) could be attributed to the heat generated by lactogenesis. Since the measurements of RMR in the lactating rats were not paralleled by measurements of milk production, the proportion of heat used to compensate the cost of thermoregulation (12 ml O2 kg–1 min–1) to the total amount of heat produced by lactogenesis is unknown.

The third possibility is that heat generated via food processing and milk production could fully substitute for active thermogenesis. This would imply no need for bigger brown adipose tissue, white adipose tissue,pelage and tail, providing that the masses of these organs correlate with their function. It might be the case, however, that the mice lactating at 8°C increased the mass of brown adipose tissue, white adipose tissue,pelage and tail in anticipation of post-weaning thermoregulatory demands, so that the greater organ masses did not reflect increased function during lactation. Indeed, it has been demonstrated in Aston laboratory mice lactating at 23°C that the thermogenic capacity of brown adipose tissue (measured as the uncoupling protein content of the tissue) is as low as 8% of that of virgin mice, despite the morphological hypertrophy of the organ(Trayhurn and Jennings, 1987). Similar results have been obtained from measurements of the capacity for non-shivering thermogenesis following noradrenaline injections(Trayhurn, 1983). However, the changes in thermogenic capacity of brown adipose tissue during lactation at different temperatures remain unknown and would be a useful topic for future studies.

In summary, comparison of organ morphology in MF1 mice lactating at 30°C, 21°C and 8°C revealed that the masses of visceral organs responsible for energy flux increased as temperature declined. The differences in the organ masses between the cold and warm mice were all significant,whereas for warm and hot groups, only the masses of heart, liver and kidneys were significantly different. The increases in organ masses were paralleled by the increases in RMR above the levels measured prior to breeding,with warm and cold mice having significantly larger increases in RMRthan hot mice. The observed changes in visceral organs and RMR are consistent with both the heat dissipation and peripheral limit hypotheses. However, mice exposed to 8°C had substantially bigger mammary glands than mice at 21°C and 30°C, which argues against the peripheral limitation hypothesis and supports the heat dissipation limit hypothesis. Cold exposure also resulted in greater masses of brown adipose tissue, white adipose tissue depots, pelage and tail, but the functional significance of these changes has yet to be established.

We thank Sally Ward, Paula Redman, Henk Visser and an anonymous referee for their help in improving earlier versions of the manuscript. E.K. was supported by a Royal Society Postdoctoral Fellowship and BBSRC grant 1/S12830.

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