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White-nose syndrome initiates a cascade of physiologic disturbances in the hibernating bat host

BMC Physiology volume 14, Article number: 10 (2014) Cite this article

Abstract

Background

The physiological effects of white-nose syndrome (WNS) in hibernating bats and ultimate causes of mortality from infection with Pseudogymnoascus (formerly Geomyces) destructans are not fully understood. Increased frequency of arousal from torpor described among hibernating bats with late-stage WNS is thought to accelerate depletion of fat reserves, but the physiological mechanisms that lead to these alterations in hibernation behavior have not been elucidated. We used the doubly labeled water (DLW) method and clinical chemistry to evaluate energy use, body composition changes, and blood chemistry perturbations in hibernating little brown bats (Myotis lucifugus) experimentally infected with P. destructans to better understand the physiological processes that underlie mortality from WNS.

Results

These data indicated that fat energy utilization, as demonstrated by changes in body composition, was two-fold higher for bats with WNS compared to negative controls. These differences were apparent in early stages of infection when torpor-arousal patterns were equivalent between infected and non-infected animals, suggesting that P. destructans has complex physiological impacts on its host prior to onset of clinical signs indicative of late-stage infections. Additionally, bats with mild to moderate skin lesions associated with early-stage WNS demonstrated a chronic respiratory acidosis characterized by significantly elevated dissolved carbon dioxide, acidemia, and elevated bicarbonate. Potassium concentrations were also significantly higher among infected bats, but sodium, chloride, and other hydration parameters were equivalent to controls.

Conclusions

Integrating these novel findings on the physiological changes that occur in early-stage WNS with those previously documented in late-stage infections, we propose a multi-stage disease progression model that mechanistically describes the pathologic and physiologic effects underlying mortality of WNS in hibernating bats. This model identifies testable hypotheses for better understanding this disease, knowledge that will be critical for defining effective disease mitigation strategies aimed at reducing morbidity and mortality that results from WNS.

Background

Since emergence of white-nose syndrome (WNS) in 2007, bat populations of eastern North America have declined precipitously due to disease-related mortality [1]–[3]. The causative agent of WNS is the fungus Pseudogymnoascus (formerly Geomyces) destructans [4]–[6], which erodes unfurred skin comprising wing membranes, muzzles, and ears of hibernating bats, inducing physiological perturbations, altered behavior, and death [7]. Although underlying causes for mortality from this invasive cutaneous mycosis remain unclear, proposed mechanisms include disruptions to vital homeostatic functions such as thermoregulation and water balance [8]. For example, water and electrolyte losses across the ulcerated wing epithelium have been proposed to cause hypotonic dehydration [9] and acid–base disturbances [10]. Consequently, alterations in behavior have been observed in infected bats, including increased frequency of arousal from torpor during hibernation [11],[12] and unusual day flights during winter [3]. High metabolic demands of such activities [13]–[15] likely also contribute to mortality of bats prior to spring emergence by accelerating depletion of fat reserves. However, physiological data linking altered behavior to increased energy demands in bats with WNS are lacking.

The doubly labeled water (DLW) method is widely applicable to the study of energetics in relation to homeostasis, behavioral adaptations, and resource allocation in both animals and humans [16]. This method is based on dynamic flux of hydrogen and oxygen through the body and ability to measure these flux rates over a period of time using labeled isotopes, 2H and 18O [17]. Following administration of these exogenous isotopes, they equilibrate throughout the body water pool. The total body water volume (TBW) can then be estimated from the dilution spaces of the isotopes when introduced at known concentrations and serves as a valuable indicator of body composition (ratio of lean body mass to fat) [18]. Notably the DLW method has been used in temperate-zone insectivorous bats in the wild (e.g., Myotis lucifugus [19] and Eptesicus fuscus [20]), but there are no published reports of this method being used in bats hibernating over a protracted time period (i.e., months).

To evaluate proposed causes of mortality from WNS, we used the DLW method to quantify energy expenditure and changes in body composition of hibernating little brown bats (M. lucifugus) experimentally infected with P. destructans to test the hypothesis that WNS increases metabolic demands during hibernation. We predicted that infected bats would exhibit greater changes in body composition, specifically decreased proportion of fat mass, over the course of the experiment compared to negative control bats as a result of higher daily energy expenditures and fat utilization. To further characterize previously reported physiologic outcomes associated with WNS, we analyzed blood chemistries of all bats at the end of the experiment to assess acid–base balance, electrolytes, and hydration status.

Results

Infection status and torpor patterns

Of the 39 bats treated with conidia from P. destructans, 32 bats (14 male, 18 female) developed epidermal wing lesions characteristic of WNS by the end of the 98-d experiment. The majority of these bats (n = 30) had mild to moderate WNS (severity scores 1 or 2 with median score of 1), while the remaining two had moderate to severe WNS (severity scores 3 and 4). Sex had no effect on the probability that a bat developed WNS (Fisher’s Exact Test, p = 0.4075). All infected bats, including animals that did not develop detectable WNS by histology (n = 7), were PCR-positive for P. destructans; all bats in the control (non-infected) group were PCR-negative for the fungal pathogen. Four infected bats and five control bats died prior to the end of the experiment.

Average torpor bout duration for infected bats following DLW injection was 9.13 (2.31) d with average arousal duration of 54 (10) min. Average torpor bout duration for control bats following DLW injection was 8.52 (2.34) d with average arousal duration of 55 (11) min. Differences in torpor-arousal patterns of bats between treatment groups were not significant (torpor bout duration, p = 0.5337; arousal duration p = 0.6508).

Blood chemistry

Blood chemistry parameters were analyzed for 27 infected bats (10 male, 17 female) and 11 control bats (6 male, 5 female) from which sufficient blood sample volumes were collected. One infected bat did not have skin lesions characteristic of WNS on histopathology, but there were no discernible differences across parameters when compared to infected bats with confirmed WNS. Additionally, we were unable to collect sufficient blood volume for analysis from the two bats with most advanced pathology (WNS severity scores 3 and 4). Thus, blood chemistry values presented herein for infected bats represent bats with mild WNS pathology (median severity score of 1).

Infected bats had significantly lower blood pH than controls (Table 1, Figure 1a). This acidemia was associated with a significant elevation of pCO2 in infected bats compared to controls (Table 1, Figure 1a), indicating that bats had respiratory acidosis. Bicarbonate levels of infected bats were also significantly higher than those of non-infected controls (Table 1, Figure 1a), evident of a compensatory renal response to a chronic acidosis. The accumulation of bicarbonate in blood of infected bats was also reflected in an elevated base excess compared to controls (Table 1). There were no differences in sodium or chloride concentrations between treatment groups, but potassium concentration was significantly higher in the infected bats than it was in the controls (Table 1, Figure 1b). Glucose concentrations were lower in infected bats but not significantly (Table 1), and anion gap values were not different from controls nor elevated as would be expected if acidemia resulted from metabolic lactic or keto-acidosis. Other measures of hydration status (hematocrit, blood urea nitrogen, and total protein) were equivalent between treatment groups (Table 1, Figure 1c). Overall, there were no effects of sex (two-way MANOVA, Pillais’ Trace = 0.48, F (9,14) = 1.46, p = 0.25) or the interaction of sex and treatment (two-way MANOVA, Pillais’ Trace = 0.53, F (9,14) = 1.79 , p = 0.16) on measured blood parameters. See Additional file 1 for a complete table of blood chemistry parameter estimations compared to available reference values.

Table 1 Blood chemistry comparisons
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Figure 1
figure 1

Blood chemistry parameters. Box-and-whisker plots of blood chemistry values for hibernating little brown bats (Myotis lucifugus) experimentally infected with Pseudogymnoascus destructans and negative (non-infected) controls. Parameters for acid-base balance (a), electrolytes (b) and hydration status (c) are shown. The median (bold line), upper and lower quartiles (box), and maximum and minimum values (whiskers) are shown. Potential outliers (points) shown were not confirmed by Bonferonni outlier tests. Significant differences (*) were determined at α = 0.05 corrected for multiple comparisons by the Holm-Bonferonni method.

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Measurements of daily energy expenditure and total body water

Upon collection of final blood samples, 67 d after injection with DLW, labeled isotope concentrations had decreased to levels statistically indistinguishable from background levels. Consequently, isotope turnover rates and daily energy expenditure (DEE) could not be determined for bats euthanized at the end of the experiment. However, one bat in the control group that died 35 d after initial injection of DLW had detectable isotope concentrations at time of death. For this bat, kd and ko were 0.004, calculated respiratory CO2 production (rCO2) was 0.01 ml/min, and resultant DEE was 0.44 kJ/day.

Measurements of total body water (TBW) were available for 26 bats (19 infected, 7 controls) following initial injection of DLW and for 24 bats (17 infected, 7 controls) after final injection (Table 2). The reduction in sample size is attributed to mortality of bats during the experiment or inability to collect a sufficient amount of blood for isotope analyses. At the time of initial DLW injection, mean TBW as percent of body mass (TBW % BM) was significantly lower for infected bats than controls (Tables 2 and 3), but mean body mass was not different between groups (t = −0.5925, df = 30, p = 0.558). After 67 d hibernation, changes in TBW and body mass were compared for infected and control bats for which paired measurements were available. Body mass decreased significantly in both treatment groups (infected: t = 11.32, df = 13, p <0.0001; control: t = 14.24, df = 3, p = 0.0008), but the loss in body mass was equal between groups. Changes in TBW % BM were marginally significant between infected and control bats, but not when corrected for multiple comparisons (Tables 2 and 3). Within groups, infected bats, which all developed mild WNS (n = 14; median WNS severity score 1, range 1–2) exhibited a significant increase in TBW % BM (Tables 2 and 3); increase in TBW % BM among control bats (n = 4) was not significant (Tables 2 and 3).

Table 2 Body composition measurements
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Table 3 Doubly labeled water comparisons
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As trends in TBW, namely TBW % BM, reflect changes in body composition, net fat energy utilization was calculated from the change in TBW (in g) and body mass measurements for all bats with paired data assuming constant 73% water content of lean mass (see Additional file 2). Based upon these calculations, mean total fat energy utilization for the 67 d after which bats were administered DLW was significantly higher for bats with WNS compared to negative controls (Tables 2 and 3).

Discussion

Results of this study support the hypothesis that infection with P. destructans and subsequent development of WNS increases energy (fat) use in hibernating bats and provide key information for understanding the progression of physiologic disturbances that ultimately lead to mortality from this disease. Specifically, isotope-based estimates of changes in body composition provided evidence that hibernating little brown bats with WNS utilized twice as much energy as non-infected control bats housed under equivalent experimental conditions. However, the greater energy use by infected bats was not associated with an increased rate or duration of arousals from torpor. This implies that bats, even with mild WNS lesions, have an elevated metabolism prior to the onset of altered arousal patterns characteristic of late-stage infections [12]. Additionally, bats with early-stage WNS developed severe, chronic respiratory acidosis and hyperkalemia (high potassium concentrations in the blood). Integrating these results with those reported by others [7],[9]–[12],[21], we propose a mechanistic multi-stage disease progression model for WNS that encompasses our current knowledge of disease pathology and physiologic sequelae, including death, that result following infection by P. destructans (Figure 2).

Figure 2
figure 2

Disease progression model for bat white-nose syndrome (WNS). We propose a mechanistic multi-stage disease model for WNS in a hibernating bat that encompasses current knowledge on the progression of fungal-induced wing pathology and physiologic sequelae leading to mortality from disease. Initial colonization and invasion of the wing epidermis by Pseudogymnoascus destructans (Pd) results in increased energy expenditure, chronic respiratory acidosis (elevated blood pCO2 and bicarbonate), and hyperkalemia (elevated blood potassium). Erosion and ulceration of the epidermis stimulate increased frequencies of arousal from torpor, which remove excess CO2 and normalize blood pH, but contribute to dehydration and depletion of fat reserves. As wing pathology becomes more extensive and severe, these effects are exacerbated by water and electrolyte loss across the epidermis (hypotonic dehydration), which stimulate more frequent arousals and create a positive feedback loop that ultimately leads to mortality when energy reserves and compensatory mechanisms become exhausted.

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As shown in this study, early stages of WNS involving fungal colonization of the wing membrane with progression to erosion and ulceration of the epidermis, are characterized by increased CO2 levels in blood, resultant acidemia, and hyperkalemia. The accumulation of CO2 may stem from either increased CO2 production from an elevated metabolic rate associated with infection, decreased CO2 expiration, possibly due to inhibition of diffusion across the damaged wing epithelium [7], and/or a compensatory response by the host to attempt to further lower torpor metabolic rates (and conserve fat reserves) by inducing a hypercapnic (high pCO2) acidosis [15],[22]–[24]. This acidosis may then contribute to the observed hyperkalemia by an acidosis-induced extracellular shift of potassium. Intracellular potassium ions may also leak into the blood through damaged and necrotic cell membranes caused by hyphal invasion of the epidermis. Overall, these physiologic effects result in a chronic respiratory acidosis, hyperkalemia, and reduction of fat reserves among bats during early stages of WNS.

Consistent with results observed in bats at later and more severe stages of WNS [9],[10], we propose that once pCO2 elevates beyond a tolerance threshold, chemoreceptors stimulate hyperventilation, and resulting increased arousals from torpor serve to remove excess CO2, returning blood pH to normal [22],[25]–[28]. The high energy demand of these arousals then likely further contributes to accelerated depletion of fat reserves. Additionally, increased ventilatory rates and greater vapor pressure difference with increased body temperatures during arousals would contribute to greater evaporative water loss [29] and dehydration. Together, these outcomes are consistent with data previously published for little brown bats with more severe WNS pathology that exhibited increased frequency of arousal from torpor, decreased pCO2, normal blood pH, and dehydration [10].

As WNS progresses towards more extensive and severe wing lesions, dehydration may be further exacerbated by water and electrolyte loss across the damaged epidermis of the wing [9],[30], further stimulating arousal from hibernation to drink [29],[31],[32]. Positive feedback loops are then established that link worsening disease-associated wing pathology to further increases in arousal frequency, water loss, and energy use resulting in additional observed acute physiologic changes, including hypocapnia, hypoglycemia, hyponatremia, hypochloremia, and emaciation [9]–[11]. Once compensatory mechanisms such as cellular buffering, respiratory and metabolic regulation, and/or behavioral adaptations are exhausted, this suite of disturbances ultimately leads to mortality unless the bat has sufficient energy reserves to persist until spring emergence and clear the infection following a return to a metabolically active state [33].

Although normal reference ranges for blood chemistry values in microchiropteran species are generally lacking [34], deviations of measured parameters in infected bats from the negative controls in this study, together with published information for apparently healthy hibernating little brown bats [10],[34]–[39], suggest pathologic and potentially life-threatening physiological disturbances associated with early-stage WNS infections [see Additional file 1]. Bats with WNS in this study had almost 40% higher mean pCO2 than negative control bats (99.4 and 37.1 mmHg respectively), and pCO2 values above 90 mmHg are generally considered to be lethal in other non-hibernating animals and humans. Elevated pCO2 levels and associated acidemia are known to interfere with enzymatic functions, reduce metabolic activity, and cause central depression of respiration; in severe cases, such elevated levels can lead to coma and death.

Direct calculations of energy expenditure could not be determined for most bats in this study because final isotope concentrations were indistinguishable from background levels. However, the increase in TBW as a percent of body mass observed in infected bats indicated that bats with WNS had higher proportions of lean tissue mass to fat tissue mass at the end of the study. This finding implies that bats with WNS used significantly more fat energy reserves compared to negative controls despite hibernating under equivalent conditions. From the estimated changes in fat content over the 67-d measurement period, infected bats utilized 0.65 kJ/d, while control bats utilized 0.31 kJ/d. These results indicate that bats with WNS expended approximately twice as much energy during hibernation as non-infected control bats. Some caution must be taken in interpreting these results due to the small number of control bats for which paired TBW measurements were available to calculate estimates of fat use. However, the range of expected daily energy use of 0.27 to 0.51 kJ/d predicted for healthy hibernating M. lucifugus at the mean temperature of our study [40] is consistent with the daily rates of energy use observed in control bats in this experiment, and lower than rates observed in infected bats. There were no differences in torpor-arousal patterns between treatment groups in this study suggesting that WNS causes an increase in metabolism that is not directly associated with arousal from torpor and occurs at early stages in disease progression. Additionally, there were no differences between infected and control bats in Tskin maintained during torpor or arousal bouts. Alternatively, metabolic costs associated with infection and development of wing pathology may be linked to increased costs of thermoregulation caused by inhibition of peripheral vasoconstriction during torpor and arousal [25], catabolism of fat to generate metabolic water in response to increased water loss, or additional energetic costs associated with the host-pathogen interaction.

Rising concentrations of pCO2 in a mammal would normally stimulate increased respiration to release excess CO2. However, the unique physiology of mammalian hibernators allows for active suppression of respiration during torpor, and under these conditions, blood pCO2 increases to levels higher than those observed in metabolically active mammals [22],[28],[41],[42]. This elevation of pCO2 is thought to be an integral part of hibernation physiology as induction of an acidotic state serves to reduce metabolic rate and thermogenesis [25],[43],[44]. Additionally, the resultant high pCO2 gradient improves ventilation efficiency, thereby minimizing energy costs of respiration during torpor [23]. Despite this tolerance for a respiratory acidosis [45], a hibernating mammal must still be able to regulate pCO2 for proper physiologic function. If CO2 elimination routes, such as passive diffusion of CO2 across the wing epithelium [46],[47] are compromised by disease, as hypothesized for bats with WNS [7], persistently rising blood pCO2 levels would cause the severe chronic respiratory acidosis we have observed. Thus, underlying causes for the high pCO2 levels in bats with WNS are likely a combination of the uniquely adapted physiology of a hibernating mammal compounded by pathologically induced insult(s) to these physiological mechanisms.

Bat WNS presents a new paradigm for the study of infectious disease. Never before has a fungal skin pathogen been known to specifically infect a hibernating mammal, causing severe physiologic disturbances and mortality. Although substantial efforts have been devoted to understanding chytridiomycosis, a lethal fungal skin disease of amphibians, prior to WNS there had been no in-depth study of disease processes in a metabolically repressed animal caused by a psychrophilic and metabolically active pathogen. The poorly characterized capacity of bats to compensate for and respond to infection during hibernation demonstrates the difficulty of understanding how host-pathogen interactions influence disease manifestation and mortality.

Conclusions

This study demonstrated that infection with P. destructans and subsequent development of WNS increased energy (fat) use in hibernating bats prior to the onset of altered arousal patterns associated with later stages of WNS. Severe, chronic respiratory acidosis and hyperkalemia were also apparent in bats that developed mild WNS. With these results, we present a multi-stage disease progression model for WNS as a framework for understanding the pathogenesis and underlying causes of mortality due to WNS (Figure 2). This model integrates a range of published work [7],[9]–[12],[21] with data from this study into the first attempt to mechanistically define a comprehensive conceptual model of what may occur during development of WNS in a hibernating bat – from initial colonization of wing skin by P. destructans until the death of the animal. This model identifies key testable hypotheses necessary to develop a comprehensive understanding of the physiologic effects of WNS on hibernating bats. Ultimately, this knowledge will be critical for guiding effective and properly timed management actions to moderate physiologic effects of WNS and minimize morbidity and mortality from this devastating disease.

Methods

Bats

This study was conducted in accordance with experimental protocol #110921 approved by the Institutional Animal Care and Use Committee of the USGS – National Wildlife Health Center (NWHC). Sixty (30 male and 30 female) little brown bats (Myotis lucifugus) were collected from a hibernaculum in Wisconsin on December 21, 2012 and transported to NWHC. Bats were held individually within tube socks maintained in coolers at approximately 7°C during transport. Body mass and right forearm length were recorded for each bat, and both wings of each bat were evaluated for pre-existing injuries. All animals were confirmed negative for P. destructans by polymerase chain reaction (PCR) [48] analysis of wing-skin swab samples (PurFlock nylon-flocked swabs, Puritan, Guilford, ME) collected from each bat. An archival temperature logger (iBBat, Alpha Mach) was affixed between the scapulae of each bat using a latex-based adhesive (Ostobond, M.O.C., Vaudreuil, Quebec, Canada) after trimming a 1 cm × 1 cm patch of fur to within 1 mm of the skin surface. Loggers were programmed to record skin temperature (Tskin) every 15 minutes starting at the time of DLW injection until the end of the experiment. Torpor-arousal patterns were assessed using Tskin data downloaded from iBBat temperature loggers following termination of the experiment. Arousal thresholds were defined as 10% of maximum Tskin for each individual [11].

Bats were sorted by sex and randomly assigned to infected (n = 39; 19 males, 20 females) and control (n = 21; 11 males, 10 females) groups. Conidia of P. destructans (5 × 105 in 20 μl of PBS with 0.5% Tween-20) were applied to the skin of the dorsal surface of both wings of each bat in the infected group as previously described [49]. PBS Tween-20 lacking conidia was similarly applied to the wings of control (non-infected) bats. Each group was placed into a mesh enclosure (22” H × 14” W × 14” D; Apogee Reptaria, Reptiledirect.com) within separate environmental incubators (Percival Scientific, Perry, IA) and maintained at 7.5°C and 90% RH for 98 days. Bats were monitored every other day for the duration of the experiment and any dead animals removed.

At the end of the experiment, all remaining bats were euthanized. Polymerase chain reaction (PCR) analyses of wing skin were performed as previously described [48] to confirm the presence of P. destructans. Additionally, the entire membrane of one wing was examined by histology to identify lesions diagnostic for WNS [21] and to assign severity scores [from 0 (no lesions) to 4 (severe, extensive lesions)] based on extent of fungal infection [11].

Doubly labeled water

The DLW method used a two-sample approach by measuring isotopic concentrations at equilibrium (1 h following DLW injection) and once more at the end of the experiment [17]. The duration of the elimination period was determined from estimates of isotope washout rates modeled using parameters of energy expenditure for hibernating little brown bats [40], assuming torpor bouts of 8 to 16 d interspersed by 0.5 to 1.5 h arousals, as recorded for little brown bats with and without WNS in previous experiments [12]. One additional arousal and a 3-h euthermic period were included in the model to account for initial DLW injection and blood collection at the end of the experiment. Based upon an energy expenditure budget of approximately 60 kJ, isotope washout was predicted to occur 89 to 171 d post-administration of DLW. To increase the likelihood that labeled isotope concentrations would remain measurable over a duration of time sufficient for development of experimentally induced WNS (90 to 120 d; [12],[49]), we administered the first dose of DLW 28 d after treatment of bats with fungal conidia.

For administration of DLW, bats were removed from incubators and aroused at room temperature for 20 to 30 min. Once fully aroused, both infected (n = 34) and negative control (n = 16) bats were injected intraperitoneally with approximately 70 μl of a mixture of enriched 18O (approximately 19 atom %) and 2H (approximately 11 atom %). Dose enrichments were quantified using a standard dilution experiment [50]. Bats were then held at room temperature for approximately 1 h to allow for isotopic equilibration [20]. Following 1 h at euthermic temperatures, 50 to 75 μl of blood was collected from the ventral aspect of the uropatagial vein of each bat [51] into two heparinized 100 μl capillary tubes for determination of initial isotope concentrations and TBW. Ends of the capillary tubes were immediately flame-sealed, dipped in sealing wax, and stored at 4°C until analysis. Bats were then returned to incubators and left undisturbed for the duration of the experiment. Additionally, five bats from each treatment group were used to measure background isotope levels [52]; these bats were treated identically as those described above, but they did not receive injections of DLW.

At 95 days post-treatment with conidia (67 d after injection of DLW) bats were removed from hibernation chambers, aroused to euthermic body temperatures, and blood was collected (as above) to determine final isotope concentrations. Blood from bats that did not receive initial DLW injections was also sampled at this time to obtain a concurrent measure of background isotope levels. Since TBW content of each bat was assumed to have changed since sampling at the beginning of the experiment, a dose of the DLW solution used previously was administered to each bat, for which a non-terminal blood sample was collected, to determine TBW at the end of the experiment for infected (n = 22) and control (n = 12) bats. Following the injection with DLW, bats were held at room temp for 1 h for isotopic equilibration, after which time they were anesthetized with 5% isoflurane and decapitated. Whole blood was collected into heparinized capillary tubes, and 50 to 75 μl of blood was immediately sealed in capillary tubes (as described above) for isotope analysis. Rectal temperature was recorded at the time of euthanasia using a miniature probe and digital thermometer (Models RET-4 & BAT7001H, Physitemp Instruments, Inc., Clifton, NJ).

Blood chemistry

Following euthanasia, blood chemistry parameters were analyzed for each bat as previously described [9]. Briefly, 95 μl of whole blood was collected following decapitation and analyzed within one minute using an i-STAT portable clinical analyzer (EC8+ diagnostic cartridge, Abaxis, Union City, California, USA) to assess sodium (Na+, mmol l−1), potassium (K+, mmol l−1), chloride (Cl−, mmol l−1), pH, dissolved carbon dioxide (pCO2, mmHg), bicarbonate (HCO3−, mmol l−1), base excess (BE, mmol l−1), anion gap (AG, mmol l−1), blood urea nitrogen (BUN, mgdL−1), hematocrit (Hct, % PCV), and glucose (mgdL−1). Remaining blood was centrifuged in microtubes (Stat-Spin, Iris Sample Processing, Westwood, MA) for 90 s, and plasma protein (gdL−1) of the serum was measured using a hand-held refractometer (Pulse Instruments, Van Nuys, CA). Temperature-corrected values for pH and pCO2 were calculated using rectal temperature of the bat at the time of blood collection, and HCO3−, AG, and BE were then calculated using these temperature-corrected values according to the i-STAT manual [53] and specifications of the Clinical Laboratory Standards Institute for Blood Gas and pH Analysis and Related Measurements [54] (see also Additional file 3 for equations).

Isotope analysis

Capillary tubes containing the blood samples were vacuum distilled [55], and water from the resulting distillate was used to produce CO2 and H2 (methods in [56] for CO2 and [57] for H2). The isotope ratios 18O: 16O and 2H: 1H were analyzed using gas source isotope ratio mass spectrometry (Optima, Micromass IRMS and Isochrom μG, Manchester, UK). Samples were run alongside three lab standards for each isotope (calibrated to International standards) to correct delta values to ppm. Isotope enrichments were converted to values of daily energy expenditure using a single pool model as recommended for this size of animal [58].

Dilution spaces for oxygen (N0) and hydrogen (Nd) were calculated by the plateau method (Speakman and Krol, [59]). CO2 production was calculated using equation 7.17 of Speakman [50] and used to estimate DEE according to the Weir equation [59] (see Additional file 2 for details).

Statistical analyses

Normality of measured parameters was assessed visually using histograms and Q-Q plots for each parameter. Assumptions of normality and homogeneity of variance were satisfied so no transformations were performed. Mean values of measured parameters for infected bats were compared to control bats using independent two-sample t-tests. Paired data sets from TBW estimates were compared using paired t-tests. All t-tests were two-tailed with α = 0.05, and critical values for significance were adjusted to control the family-wise error rate using the Holm-Bonferonni method [60] applied separately to each data set: blood chemistry parameters (12 comparisons), DLW measurements (8 comparisons), and torpor profiles (2 comparisons). All statistical analyses were conducted in R [61]. Data in the text are presented as means (SD).

Additional files

References

  1. Blehert DS, Hicks AC, Behr MJ, Meteyer CU, Berlowski-Zier BM, Buckles EL, Coleman JTH, Darling SR, Gargas A, Niver R, Okoniewski JC, Rudd RJ, Stone WB: Bat white-nose syndrome: an emerging fungal pathogen?. Science. 2009, 323: 227-10.1126/science.1163874.

    Article  CAS  PubMed  Google Scholar 

  2. Frick WF, Pollock JF, Hicks AC, Langwig K, Reynolds DS, Turner GG, Butchkoski CM, Kunz TH: An emerging disease causes regional population collapse of a common North American bat species. Science. 2010, 329: 679-682. 10.1126/science.1188594.

    Article  CAS  PubMed  Google Scholar 

  3. Turner GG, Reeder DM, Coleman JC: A five-year assessment of mortality and geographic spread of white-nose syndrome in North American bats and a look to the future. Bat Res News. 2011, 52: 13-27.

    Google Scholar 

  4. Gargas A, Trest MT, Christensen M, Volk TJ, Blehert DS: Geomyces destructans sp. nov. asssociated with bat white-nose syndrome. Mycotaxon. 2009, 108: 147-154. 10.5248/108.147.

    Article  Google Scholar 

  5. Minnis AM, Lindner DL: Phylogenetic evaluation of Geomyces and allies reveals no close relatives of Pseudogymnoascus destructans, comb. nov., in bat hibernacula of eastern North America. Fungal Biol. 2013, 117: 638-649. 10.1016/j.funbio.2013.07.001.

    Article  PubMed  Google Scholar 

  6. Lorch JM, Muller LK, Russell RE, O’Connor M, Lindner DL, Blehert DS: Distribution and environmental persistence of the causative agent of white-nose syndrome, Geomyces destructans, in bat hibernacula of the eastern United States. Appl Environ Microbiol. 2012, 79: 1293-2839. 10.1128/AEM.02939-12.

    Article  PubMed  Google Scholar 

  7. Cryan PM, Meteyer CU, Boyles JG, Blehert DS: Wing pathology of white-nose syndrome in bats suggests life-threatening disruption of physiology. BMC Biol. 2010, 8: 135-10.1186/1741-7007-8-135.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Willis CKR, Menzies AK, Boyles JG, Wojciechowski MS: Evaporative water loss is a plausible explanation for mortality of bats from white-nose syndrome. Integr Comp Biol. 2011, 51: 364-373. 10.1093/icb/icr076.

    Article  PubMed  Google Scholar 

  9. Cryan PM, Meteyer CU, Blehert DS, Lorch JM, Reeder DM, Turner GG, Webb J, Behr M, Verant ML, Russell RE, Castle KT: Electrolyte depletion in white-nose syndrome bats. J Wildlife Dis. 2013, 49: 398-402. 10.7589/2012-04-121.

    Article  CAS  Google Scholar 

  10. Warnecke L, Turner JM, Bollinger TK, Misra V, Cryan PM, Blehert DS, Wibbelt G, Willis CKR: Pathophysiology of white-nose syndrome in bats: a mechanistic model linking wing damage to mortality. Biol Lett. 2013, 9: 20130177-10.1098/rsbl.2013.0177.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Reeder DM, Frank CL, Turner GG, Meteyer CU, Kurta A, Britzke ER, Vodzak ME, Darling SR, Stihler CW, Hicks AC, Jacob R, Grieneisen LE, Brownlee SA, Muller LK, Blehert DS: Frequent arousal from hibernation linked to severity of infection and mortality in bats with white-nose syndrome. PloS One. 2012, 7: e38920-10.1371/journal.pone.0038920.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Warnecke L, Turner JM, Bollinger TK, Lorch JM, Misra V, Cryan PM, Wibbelt G, Blehert DS, Willis CKR: Inoculation of bats with European Geomyces destructans supports the novel pathogen hypothesis for the origin of white-nose syndrome. Proc Natl Acad Sci U S A. 2012, 109: 6999-7003. 10.1073/pnas.1200374109.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Kayser C: The Physiology of Natural Hibernation. 1961, Pergamon Press, Oxford

    Google Scholar 

  14. Thomas DW, Dorais M, Bergeron JM: Winter energy budgets and cost of arousals for hibernating little brown bats, Myotis lucifugus . J Mammal. 1990, 71: 475-479. 10.2307/1381967.

    Article  Google Scholar 

  15. Geiser F: Metabolic rate and body temperature reduction during hibernation and daily torpor. Annu Rev Physiol. 2004, 66: 239-274. 10.1146/annurev.physiol.66.032102.115105.

    Article  CAS  PubMed  Google Scholar 

  16. Butler PJ, Green JA, Boyd IL, Speakman JR: Measuring metabolic rate in the field: the pros and cons of the doubly labelled water and heart rate methods. Funct Ecol. 2004, 18: 168-183. 10.1111/j.0269-8463.2004.00821.x.

    Article  Google Scholar 

  17. Lifson N, Gordon GB, McClintock R: Measurement of total carbon dioxide production by means of D2O18. J Appl Physiol. 1955, 7: 704-710.

    CAS  PubMed  Google Scholar 

  18. Speakman JR, Visser GH, Ward SE, Król E: The Isotope Dilution Method for the Evaluation of Body Composition. Body Composition Analysis of Animals. Edited by: Speakman JR. 2001, Cambridge University Press, Cambridge, 56-98. 10.1017/CBO9780511551741.005.

    Chapter  Google Scholar 

  19. Kurta A, Bell GP, Nagy KA, Kunz TH: Energetics of pregnancy and lactation in free-ranging little brown bats (Myotis lucifugus). Physiol Zool. 1989, 62: 804-818.

    Article  Google Scholar 

  20. Kurta A, Kunz TH, Nagy KA: Energetics and water flux of free-ranging big brown bats (Eptesicus fuscus) during pregnancy and lactation. J Mammal. 1990, 71: 59-65. 10.2307/1381316.

    Article  Google Scholar 

  21. Meteyer CU, Buckles EL, Blehert DS, Hicks AC, Green DE, Shearn-Bochsler V, Thomas NJ, Gargas A, Behr MJ: Histopathologic criteria to confirm white-nose syndrome in bats. J Vet Diagn Invest. 2009, 21: 411-414. 10.1177/104063870902100401.

    Article  PubMed  Google Scholar 

  22. Malan A, Arens H, Waechter A: Pulmonary respiration and acid–base state in hibernating marmots and hamsters. Respir Physiol. 1973, 17: 45-61. 10.1016/0034-5687(73)90109-6.

    Article  CAS  PubMed  Google Scholar 

  23. Szewczak JM: Matching gas exchange in the bat from flight to torpor. Am Zool. 1997, 37: 92-100.

    Article  Google Scholar 

  24. Malan A, Mioskowski E, Calgari C: Time-course of blood acid–base state during arousal from hibernation in the European hamster. J Comp Physiol B. 1988, 158: 495-500. 10.1007/BF00691147.

    Article  CAS  PubMed  Google Scholar 

  25. Snapp BD, Heller HC: Suppression of metabolism during hibernation in ground squirrels (Citellus lateralis). Physiol Zool. 1981, 54: 297-307.

    Article  Google Scholar 

  26. Bickler PE: CO2 balance of a heterothermic rodent: comparison of sleep, torpor, and awake states. Am J Physiol. 1984, 246: 49-55.

    Google Scholar 

  27. Szewczak JM, Jackson DC: Acid–base state and intermittent breathing in the torpid bat, Eptesicus fuscus . Respir Physiol. 1992, 88: 205-215. 10.1016/0034-5687(92)90041-T.

    Article  CAS  PubMed  Google Scholar 

  28. Thomas DW, Cloutier D, Gagne D: Arrhythmic breathing, apnea and non-steady state oxygen uptake in hibernating little brown bats (Myotis lucifugus). J Exp Biol. 1990, 149: 395-406.

    Google Scholar 

  29. Thomas DW, Cloutier D: Evaporative water-loss by hibernating little brown bats, Myotis lucifugus . Physiol Zool. 1992, 65: 443-456.

    Article  Google Scholar 

  30. Munoz-Garcia A, Ben-Hamo M, Pinshow B, Williams JB, Korine C: The relationship between cutaneous water loss and thermoregulatory state in Kuhl’s pipistrelle Pipistrellus kuhlii, a Vespertillionid bat. Physiol Biochem Zool. 2012, 85: 516-525. 10.1086/666989.

    Article  PubMed  Google Scholar 

  31. Speakman JR, Racey PA: Hibernal ecology of the Pipistrelle bat - energy-expenditure, water requirements and mass-loss, implications for survival and the function of winter emergence flights. J Anim Ecol. 1989, 58: 797-813. 10.2307/5125.

    Article  Google Scholar 

  32. Ben-Hamo M, Munoz-Garcia A, Williams JB, Korine C, Pinshow B: Waking to drink: rates of evaporative water loss determine arousal frequency in hibernating bats. J Exp Biol. 2013, 216: 573-577. 10.1242/jeb.078790.

    Article  PubMed  Google Scholar 

  33. Meteyer CU, Valent M, Kashmer J, Buckles EL, Lorch JM, Blehert DS, Lollar A, Berndt D, Wheeler E, White CL, Ballmann AE: Recovery of little brown bats (Myotis lucifugus) from natural infection with Geomyces destructans, white-nose syndrome. J Wildlife Dis. 2011, 47: 618-626. 10.7589/0090-3558-47.3.618.

    Article  Google Scholar 

  34. Riedesel ML: Blood Physiology. Biology of Bats. Volume 3. Edited by: Wimsatt W. 1977, Academic Press, New York, 651-

    Google Scholar 

  35. Cryan PM, Wolf BO: Sex differences in the thermoregulation and evaporative water loss of a heterothermic bat, Lasiurus cinereus, during its spring migration. J Exp Biol. 2003, 206: 3381-3390. 10.1242/jeb.00574.

    Article  PubMed  Google Scholar 

  36. Riedesel ML, Folk GE: Serum electrolyte levels in hibernating mammals. Am Nat. 1958, 92: 307-312. 10.1086/282039.

    Article  Google Scholar 

  37. Riedesel ML: Serum magnesium levels in mammalian hibernators. Trans Kans Acad Sci. 1957, 60: 99-141. 10.2307/3626942.

    Article  CAS  Google Scholar 

  38. Kallen FC: Plasma and blood volumes in the little brown bat. Am J Physiol. 1960, 198: 999-1005.

    CAS  PubMed  Google Scholar 

  39. Blood FR, Dodgen CL: Energy sources in the bat. Am J Physiol. 1956, 187: 151-154.

    CAS  PubMed  Google Scholar 

  40. Humphries MM, Thomas DW, Speakman JR: Climate-mediated energetic constraints on the distribution of hibernating mammals. Nature. 2002, 418: 313-316. 10.1038/nature00828.

    Article  CAS  PubMed  Google Scholar 

  41. Malan A: Respiration and Acid–Base State in Hibernation. Hibernation and Torpor in Mammals and Birds. Edited by: Lyman CP, Willis JS, Malan A, Wang LCH. 1982, Academic Press, New York, 237-282.

    Google Scholar 

  42. Hochachka PW, Guppy M: Metabolic arrest and the control of biological time. 1987, Harvard University Press, Cambridge, MA

    Book  Google Scholar 

  43. Malan A: pH and hypometabolism in mammalian hibernation. Can J Zool. 1988, 66: 95-98. 10.1139/z88-013.

    Article  Google Scholar 

  44. Schaefer KE, Wunnenberg W: Threshold temperatures for shivering in acute and chronic hypercapnia. J Appl Physiol. 1976, 41: 67-70.

    CAS  PubMed  Google Scholar 

  45. Studier EM, Fresquez AA: Carbon dioxide retention: a mechanism of ammonia tolerance in mammals. Ecology. 1969, 50: 492-494. 10.2307/1933906.

    Article  CAS  Google Scholar 

  46. Herreid CF, Bretz WL, Schmidt-Nielsen K: Cutaneous gas exchange in bats. Am J Physiol. 1968, 215: 506-508.

    PubMed  Google Scholar 

  47. Makanya AN, Mortola JP: The structural design of the bat wing web and its possible role in gas exchange. J Anat. 2007, 211: 687-697. 10.1111/j.1469-7580.2007.00817.x.

    Article  PubMed  PubMed Central  Google Scholar 

  48. Muller LK, Lorch JM, Lindner DL, O’Connor M, Gargas A, Blehert DS: Bat white-nose syndrome: a real-time TaqMan polymerase chain reaction test targeting the intergenic spacer region of Geomyces destructans . Mycologia. 2012, 105: 253-259. 10.3852/12-242.

    Article  PubMed  Google Scholar 

  49. Lorch JM, Meteyer CU, Behr MJ, Boyles JG, Cryan PM, Hicks AC, Ballmann AE, Coleman JTH, Redell D, Reeder DM, Blehert DS: Experimental infection of bats with Geomyces destructans causes white-nose syndrome. Nature. 2011, 480: 376-378. 10.1038/nature10590.

    Article  CAS  PubMed  Google Scholar 

  50. Kunz TH, Nagy KA: Methods of Energy Budget Analysis. Ecological and Behavior Methods for the Study of Bats. Edited by: Kunz TH. 1988, Smithsonian Institution Press, Washington, D.C, 277-302.

    Google Scholar 

  51. Speakman JR: Doubly Labelled Water- Theory and Practice. 1997, Chapman and Hall, London

    Google Scholar 

  52. Speakman JR, Racey PA: The equilibrium concentration of O-18 in body-water: implications for the accuracy of the doubly-labeled water technique and a potential new method of measuring RQ in free-living animals. J Theor Biol. 1987, 127: 79-95. 10.1016/S0022-5193(87)80162-5.

    Article  Google Scholar 

  53. Abbott Point of Care Inc: iStat Instruction Manual. 2008, Abbott Point of Care Inc, Abbott Park, IL

    Google Scholar 

  54. Clinical Laboratory Standards Institute: Blood gas and pH Analysis and Related Measurements: Approved Guideline - Second Edition. 2009, CLSI, Wayne, PA

    Google Scholar 

  55. Nagy KA: The Doubly Labeled Water 3HH18O Method: A Guide to its use. 1983, University of California, Los Angeles

    Google Scholar 

  56. Speakman JR, Nagy KA, Masman D, Mook WG, Poppitt SD, Strathearn GE, Racey PA: Interlaboratory comparison of different analytical techniques for the determination of oxygen-18 abundance. Anal Chem. 1990, 62: 703-708. 10.1021/ac00206a011.

    Article  CAS  Google Scholar 

  57. Speakman JR, Krol E: Comparison of different approaches for the calculation of energy expenditure using doubly labeled water in a small mammal. Physiol Biochem Zool. 2005, 78: 650-667. 10.1086/430234.

    Article  PubMed  Google Scholar 

  58. Speakman JR: How should we calculate CO2 production in doubly labelled water studies of animals?. Funct Ecol. 1993, 7: 746-750.

    Google Scholar 

  59. Weir JB: New methods for calculating metabolic rate with special reference to protein metabolism. J Physiol. 1949, 109: 1-9. 10.1113/jphysiol.1949.sp004363.

    Article  PubMed  PubMed Central  Google Scholar 

  60. Holm S: A simple sequentially rejective multiple test procedure. Scand J Stat. 1979, 6: 65-70.

    Google Scholar 

  61. R: A Language and Environment for Statistical Computing. [http://www.R-project.org]

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Acknowledgments

This project was financially supported by the US Geological Survey through a cooperative agreement with the University of Wisconsin – Madison. We are indebted to Dave and Jennifer Redell and Paul White from the Wisconsin Department of Natural Resources for collecting the animals used to complete this study and for assisting with data collection. We thank Melissa Behr for assistance with necropsies and NWHC Animal Care Staff for their help with set-up and maintenance of animals. We thank Lobke Vaanholt and Catherine Hambly (University of Aberdeen, Scotland) for their expertise and coordination in the analyses of the DLW blood samples. Funds were used for direct project costs only. Use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the US Government.

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Authors and Affiliations

  1. Department of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin-Madison, 2015 Linden Dr., Madison, Wisconsin, USA

    Michelle L Verant & Jeffrey M Lorch

  2. US Geological Survey – National Wildlife Health Center, 6006 Schroeder Rd., Madison, Wisconsin, USA

    Carol U Meteyer & David S Blehert

  3. Institute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen, Scotland, UK

    John R Speakman

  4. US Geological Survey – Fort Collins Science Center, 2150 Centre Ave. Building C, Fort Collins, Colorado, USA

    Paul M Cryan

  5. US Geological Survey – National Center, Environmental Health, 12201 Sunrise Valley Dr., Reston, Virginia, USA

    Carol U Meteyer

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  1. Michelle L Verant
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Correspondence to David S Blehert.

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Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

MLV, PMC, JML, and DSB conceived and designed the study. MLV coordinated and conducted the experiment, performed molecular analyses, and analyzed the data. JRS formulated the doubly labeled water (DLW), supervised analyses of DLW samples, and provided expert consult on study design and interpretation of results. MLV, PMC, JML, CUM, and DSB participated in data collection. CUM performed the histopathology examinations for disease confirmation. MLV wrote the manuscript, all co-authors provided input, and DSB edited the manuscript. All authors read and approved the manuscript.

Electronic supplementary material

12899_2014_10_MOESM1_ESM.pdf

Additional file 1: Table of Blood Chemistry Parameters. Comparisons of blood chemistry parameter values for hibernating little brown bats (Myotis lucifugus) experimentally infected with Pseudogymnoascus destructans (Pd) and negative (non-infected) controls to available reference values. (PDF 218 KB)

12899_2014_10_MOESM2_ESM.pdf

Additional file 2: Doubly Labeled Water. Mean isotope enrichments of administered DLW formulations and background isotope concentrations in bats at the start and end of the experiment. Equations used for calculation of daily energy requirements and fat energy use. (PDF 194 KB)

12899_2014_10_MOESM3_ESM.pdf

Additional file 3: Blood Chemistry Calculations. Equations used to calculate temperature-corrected acid–base blood parameters. (PDF 166 KB)

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Verant, M.L., Meteyer, C.U., Speakman, J.R. et al. White-nose syndrome initiates a cascade of physiologic disturbances in the hibernating bat host. BMC Physiol 14, 10 (2014). https://doi.org/10.1186/s12899-014-0010-4

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BMC Physiology

ISSN: 1472-6793

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