Star-nosed moles (Condylura cristata) have an impressive diving performance and burrowing lifestyle, yet no ventilatory data are available for this or any other talpid mole species. We predicted that, like many other semi-aquatic and fossorial small mammals, star-nosed moles would exhibit: (i) a blunted (i.e. delayed or reduced) hypoxic ventilatory response, (ii) a reduced metabolic rate and (iii) a lowered body temperature (Tb) in hypoxia. We thus non-invasively measured these variables from wild-caught star-nosed moles exposed to normoxia (21% O2) or acute graded hypoxia (21–6% O2). Surprisingly, star-nosed moles did not exhibit a blunted HVR or decreased Tb in hypoxia, and only manifested a significant, albeit small (<8%), depression of metabolic rate at 6% O2 relative to normoxic controls. Unlike small rodents inhabiting similar niches, star-nosed moles are thus intolerant to hypoxia, which may reflect an evolutionary trade-off favouring the extreme sensory biology of this unusual insectivore.

While most adult mammals are largely intolerant of hypoxia, a few species inhabit niches in which they acutely or chronically experience low O2 tensions (Boggs et al., 1984; Lacey and Patton, 2000; Roper et al., 2001; Shams et al., 2005). As environmental O2 decreases, aerobic metabolism is curtailed and cells struggle to generate the required ATP for homeostasis (Buck and Pamenter, 2006; Hochachka, 1986). To compensate, animals that exploit hypoxic environments have evolved a range of physiological, molecular and genetic adaptations (Dzal et al., 2015; Jiang et al., 2020). These specializations can be broadly categorized into mechanisms that decrease metabolic demand for O2, and mechanisms that increase the delivery of O2 to aerobic tissues.

Metabolic rate suppression, wherein the body's rate of O2 consumption (O2) decreases in concert with environmental O2 availability, is an important strategy to mitigate the deleterious effects of hypoxia. The hypoxic metabolic response (HMR) may comprise various cellular and behavioural modifications; however, because the largest metabolic demand in small mammals is usually thermoregulation, downregulation of the body temperature (Tb) setpoint and reducing core Tb are often major components of the HMR (Tattersall and Milsom, 2009). Indeed, concurrent declines in O2 and Tb often occur in hypoxia-tolerant species (Frappell et al., 1992) and neonates (Teppema and Dahan, 2010) during hypoxic exposure. Comparatively, most terrestrial adult mammals are hypoxia intolerant and exhibit little to no HMR or change in Tb in hypoxia (Frappell et al., 1992).

Whereas most hypoxia-adapted mammals rely primarily on reducing O2 to tolerate low levels of environmental O2, most hypoxia-intolerant mammals instead increase O2 supply. Central to this latter strategy is the hypoxic ventilatory response (HVR), a reflexive increase in breathing (Frappell et al., 1992; Iturriaga et al., 2016; Pamenter and Powell, 2016; Powell et al., 1998). In hypoxia-intolerant species, this response typically manifests at environmental O2 levels as high as 18–15% (Arieli and Ar, 1979; Hemingway and Nahas, 1952). Comparatively, hypoxia-tolerant species exhibit a blunted HVR, and defer hyperventilating until environmental O2 tensions drop below 5–10% (Barros et al., 2004; Boggs et al., 1998; Frappell et al., 1994; Ivy et al., 2020; Tomasco et al., 2010).

Star-nosed moles [Condylura cristata (Illiger 1811)] are small (40–60 g) non-hibernating fossorial mammals native to north-eastern North America, and are the only member of their subfamily (Condylurinae) within the family Talpidae (Hamilton, 1931; Petersen and Yates, 1980). They are distinguished by a mobile and highly mechanosensitive 22-tentacled snout that is used to search for invertebrate prey in both aquatic and subterranean settings (Catania and Kaas, 1996). Indeed, star-nosed moles are well adapted for underground life and dig extensive tunnel systems at depths of 3–60 cm in wet soils adjacent to wetlands and streams (Hickman, 1983; Rust, 1966). While gaseous measurements in star-nosed mole burrows are not available, soil moisture impedes gas exchange and exhibits an inverse relationship with O2 tension within coast mole (Scapanus orarius) tunnels (Schaefer and Sadleir, 1979). As insectivores, the protein rich diet of C. cristata also contributes to a higher O2 requirement for energy metabolism (Campbell et al., 2000; Pearson, 1947; Stephenson and Racey, 1995). Importantly, star-nosed moles are also competent thermoregulators and maintain a high and stable Tb of ∼38°C, despite the challenge of living, and especially swimming, in sub-zero temperatures (Campbell et al., 1999, 2000; McIntyre et al., 2002). This combination of lifestyle, diet and high Tb presumably culminate in a substantially greater energetic demand than expected for their size, which is twice that of other fossorial mole species (Campbell et al., 1999).

In addition to living underground, star-nosed moles are accomplished divers (McIntyre et al., 2002). Advanced diving capabilities have been linked with hypoxia tolerance owing to relatively long periods spent without breathing (Meir et al., 2009; Willmore and Storey, 1997). Although these traits do not universally correlate to hypoxia tolerance, given their burrowing lifestyle and diving capabilities, we hypothesized that star-nosed moles would exhibit physiological adaptations to resist severe hypoxia, as occurs in other subterranean and diving mammals. We predicted that this tolerance would be achieved in part through metabolic rate suppression, reduced thermogenesis and a blunted HVR.

Animals

Star-nosed moles (3 adults and 5 juveniles) of unknown sex were captured during June 2019 on private land in forested areas south of Saint-Anaclet-de-Lessard, Quebec, Canada, using Sherman and pitfall traps. Animals were housed at L'Université du Québec à Rimouski (22°C, 20.95% O2, 0.04% CO2, 50% humidity) with ambient lighting synchronized to the external photoperiod. The moles were housed individually in modified, interconnected chambers. The first chamber (61×41×22 cm) was used exclusively for feeding (to permit food consumption monitoring and facilitate daily cleaning) and was connected by ABS pipe (3.8 cm diameter) to a nesting chamber (16×16×9 cm) filled with dried grass and located within a container (73×50×30 cm) furnished with ∼30 cm of top-soil for the animals to freely burrow. Animals were fed 7–10 large nightcrawlers (∼30–40 g) every 12 h. Twenty-four hours after arriving at the animal facility, each unanesthetized mole was implanted with a RFID temperature transponder (Bio-Thermo, Destron Fearing, Langeskov, Denmark) via syringe along the back flank and given 48 h to recover before experimentation. The moles were not fasted prior to experimental trials and were allowed a minimum of 1 week between the normoxic and hypoxic experiments. Respective animal trials were performed at the same time of day to reduce confounding effects of individual circadian rhythms. All experimental procedures were approved by the University of Ottawa's Animal Care Committee (protocol #2535) in consultation with the Animal Care Committee from L'Université du Québec à Rimouski, with animal trapping, husbandry and experimentation conducted in accordance with the Animals for Research Act and the Canadian Council on Animal Care.

Whole-body plethysmography and respirometry

A single unrestrained mole was placed in a transparent 450 ml Plexiglas chamber connected in parallel to an identical (empty) reference chamber and closely monitored throughout each experimental trial. Experiments were performed at 22°C, to which animals were habituated prior to experimentation. The animal chamber was sealed and ventilated by positive pressure with gas mixtures set to the desired fractional gas composition by calibrated rotameters (Krohne, Duisburg, Germany). The flow rate of gas (FRi) was set to 400 ml min−1 and was verified using a calibrated mass flow meter (M-Series, Alicat Scientific, Tuscon, AZ, USA). Humidity in the inspired/expired air was measured by passing the excurrent air through an RH-300 Water Vapour Pressure Analyzer (Sable Systems International, Las Vegas, NV, USA). The excurrent gas was then passed through desiccant media (Drierite, W.A. Hammond Drierite Co. Ltd., Xenia, OH, USA) before entering the CO2 and O2 analyzers (FC-10 O2 and CA-10 CO2 Analyzers, Sable Systems).

Animals were subjected to two different experimental protocols: (1) normoxia and (2) acute graded hypoxia. In the normoxia protocol, animals were exposed to 20.95% O2/0.04% CO2 for 3.5 h. In the hypoxia protocol, animals were first held in normoxia to establish a baseline, then four exposures of progressively deeper hypoxia, followed by a reoxygenation period (i.e. 20.95, 15, 12, 9, 6 and then 20.95% O2; balance N2, 35 mins each). Animals were randomly assigned which protocol to receive first. The initial hypoxia protocol was to include a 3–5% O2 step, but the mole in the first hypoxia trial suddenly and unexpectedly died once the chamber reached 5.2%, suggesting that O2 tensions of <6% are below the lethal limit for the species. Tb was recorded non-invasively every 5 mins throughout all experiments using an RFID reader (Allflex USA Inc., Dallas, TX, USA) to scan the previously implanted RFID chips. The chamber temperature was recorded every 2 s by a custom-built thermocouple.

Before each trial, the O2 and CO2 analyzers were calibrated using 100% N2 and compressed air (20.95% O2, 0.04% CO2, balance N2). For the final 5 min of each O2 exposure, incurrent humidity and fractional O2 (FiO2) and CO2 (FiCO2) concentrations were measured by bypassing the experimental chamber and diverting air flow directly to the gas analyzers. Stable 30 s measurements of incurrent gas concentrations and relative humidity (%) were then used as baselines for metabolic rate calculations (see below). In the hypoxia trials, incurrent gas concentrations were then changed to the desired O2 level before returning airflow to the experimental chamber.

Animal ventilation causes pressure fluctuations because of changes in humidity and temperature between inspired and expired air that can be measured relative to a reference chamber to noninvasively monitor breathing (Jacky, 1978). We employed a differential pressure transducer (DP103-18, Validyne, Northridge, CA, USA) connected between the two chambers to amplify and continuously monitor this signal. Before each trial, the transducer was calibrated by injecting/withdrawing 6 known volumes of air (0.1, 0.2, 0.3, 0.4, 0.5, and 0.6 ml) 10 times into the experimental chamber at a rate similar to the breathing rate of the test subjects.

Data collection and analysis

Because experiments were conducted in random order and not all star-nosed moles were tolerant to 6% O2, sample size varied between the normoxic (n=7) and hypoxic (n=6–8) exposures. For the hypoxic dataset, two juvenile animals appeared to become distressed while in 6% O2 and were immediately transferred to normoxia; hence only data to 9% O2 were included for these individuals. Ventilatory and metabolic data were collected using LabChart software and analyzed in PowerLab (AD Instruments, Colorado Springs, CO, USA). Respiratory gas concentrations and pressure deflections were sampled at 1000 Hz. The 10 min interval between 20 and 30 mins of each gas exposure was analyzed to calculate mean excurrent fractional O2 (FeO2) and CO2 (FeCO2) concentrations and ventilatory parameters.

O2 (ml min−1 kg−1) was calculated using equation 10.6 in Lighton (2008):
(1)
The rate of CO2 production CO2 (ml min−1 kg−1) was calculated using equation 10.7 from the same source:
(2)
The resulting O2 and CO2 values were divided by animal body mass for mass-specific comparisons. The respiratory exchange ratio (RER) was calculated as the ratio of CO2/O2. The O2 extraction efficiency (EO2, %) was calculated as: (FiO2FeO2)/FiO2×100%.
To calculate tidal volume (VT, ml kg−1) and respiratory frequency (fR, breaths min−1) five breathing intervals were selected from within the same 10 min period used for metabolic rate calculations, with each interval consisting of a minimum of 10 consecutive and clearly defined pressure oscillations, each of which was counted as one breath. The Drorbaugh and Fenn equation:
(3)
was used to calculate VT (Drorbaugh and Fenn, 1955). Pm (measured in volts) is the pressure deflection corresponding to the expired breaths. The average cyclic maximum and minimum deflections were taken from each breathing interval. The difference represented the average total pressure deflection of a breath, Pm, while Pcal (volts) and Vcal (µl) are the pressure deflection and volume of a known calibrated volume, respectively. The average cyclic maximum and minimum deflection of each calibration set was plotted against the injected volume to create a linear relationship. The point on this line representing 0.2 ml was chosen as Pcal and Vcal. TA and TC are the animal body and chamber temperature (K), respectively, each recorded at the end of the 10 min period. PB is the barometric pressure (mmHg) as measured by the O2 analyzer. PA (mmHg) is the vapour pressure of water at the animal's TA, and PC is the partial pressure of water vapour (mmHg) in the incurrent gas stream. PA was calculated using the relative humidity (%) of excurrent air, Tb (°C), and barometric pressure (mmHg). PC was determined from relative humidity (%) of incurrent air, chamber temperature (°C), and barometric pressure (mmHg). Minute ventilation (E, ml min−1 kg−1) was calculated as the product of fR and VT. The air convection requirement of O2 and CO2 (ACRO2 and ACRCO2, respectively) were calculated as the quotient of E and O2 or CO2, respectively.

Statistical analysis

Statistical analysis was performed using commercial software (Prism v. 8.4.2, GraphPad Software Inc., CA, USA). All values are presented as mean±1 s.e.m, where P<0.05 was the threshold for significance. Owing to the wide variance, sphericity was not assumed but was corrected for using a Geisser−Greenhouse correction. Statistical significance was evaluated using a mixed-effects model analysis (REML) to test for interactions between two independent variables: normoxia and O2 level (20.95, 15, 12, 9, 6 and 20.95% O2). Tukey's and Sidak's multiple comparisons tests were performed on each dependent variable to determine significance. Respirometry and ventilatory data were qualitatively similar whether mass-corrected or not mass-corrected, and so data are presented normalized to body mass, where appropriate. Adult and juvenile data were pooled as no differences were found across O2 conditions/time points for any of the evaluated parameters (Table S1).

Star-nosed moles have a high lethal threshold to hypoxia

Star-nosed moles possess large spade-like forepaws and, like fossorial rodents, are morphologically specialized to exploit the subterranean niche. It is thus somewhat surprising that, despite their long evolutionary history of fossoriality (Petersen and Yates, 1980), the lethal hypoxic threshold for this species appears to be near 6% O2, which is comparable to mice and humans (Milroy, 2018; Zhang et al., 2004). By contrast, the lethal hypoxic threshold of fossorial and subterranean rodents typically spans 0–3% O2 (Ivy et al., 2020; Park et al., 2017).

Star-nosed moles have a weak HMR and do not alter thermogenesis in acute hypoxia

We found no pronounced metabolic or thermoregulatory responses to hypoxia in this species (Tables S2 and S3). Specifically, O2 was not strongly affected by hypoxia, decreasing only in 6% O2 (by 7.4% relative to normoxia; P=0.0308, F5,62=3.855, Fig. 1A). By contrast, CO2 was unchanged (P=0.4468, F5,62=1.438, Fig. 1B). This finding is consistent with a recent genome-wide analysis of five subterranean species, which suggested that numerous positively selected genes of star-nosed moles are linked to the maintenance of a high energy supply (Jiang et al., 2020).

Fig. 1.

Metabolic and thermal responses of star-nosed moles exposed to acute hypoxia. (A) Oxygen consumption rate (O2), (B) carbon dioxide production rate (CO2), (C) respiratory exchange ratio (RER) and (D) body temperature (Tb) of star-nosed moles during 210 min of either normoxia (open circles, n=7), or 35 min exposures of step-wise decreasing hypoxia and a 35 min normoxic recovery period (squares, for O2=20.95–9%, n=8; O2=6%, n=7; %O2=20.95%/recovery, n=6). Data were analyzed by REML with Sidak's and Tukey's multiple comparisons tests (P<0.05, presented as mean±s.e.m.). Time course measurements that do not share the same letter are significantly different, whereas significantly different values between normoxia and hypoxia are denoted by asterisks.

Fig. 1.

Metabolic and thermal responses of star-nosed moles exposed to acute hypoxia. (A) Oxygen consumption rate (O2), (B) carbon dioxide production rate (CO2), (C) respiratory exchange ratio (RER) and (D) body temperature (Tb) of star-nosed moles during 210 min of either normoxia (open circles, n=7), or 35 min exposures of step-wise decreasing hypoxia and a 35 min normoxic recovery period (squares, for O2=20.95–9%, n=8; O2=6%, n=7; %O2=20.95%/recovery, n=6). Data were analyzed by REML with Sidak's and Tukey's multiple comparisons tests (P<0.05, presented as mean±s.e.m.). Time course measurements that do not share the same letter are significantly different, whereas significantly different values between normoxia and hypoxia are denoted by asterisks.

A minimal HMR is commonly observed in hypoxia-intolerant and non-fossorial small mammals (Frappell et al., 1992). Conversely, hypoxia-tolerant mammals manifest a more robust HMR that ranges from a 48% to an 85% reduction in O2 (Frappell et al., 1992; Guppy and Withers, 1999; Ivy et al., 2020), and is typically initiated at much higher O2 tensions (∼18−10% O2) than hypoxia-intolerant species (Devereaux and Pamenter, 2020; Ivy et al., 2020; Walsh et al., 1996). By contrast, the O2 of star-nosed moles was only significantly below the normoxic control at 6% O2, but was not significantly lower than that observed during other hypoxia steps (Fig. 1A).

Thermogenesis is an energetically expensive process, particularly in small mammals (Ballesteros et al., 2018); thus, reducing thermogenesis is a common strategy of metabolic rate suppression in hypoxia-tolerant species. Consistent with results from hypoxia-intolerant species (Frappell et al., 1992), we did not observe a drop in Tb in hypoxia (P>0.999, F5,62=0.6243, Fig. 1D). Conversely, strategies to markedly lower Tb and reduce overall O2 consumption have been observed in many hypoxia-tolerant species (Houlahan et al., 2018; Ilacqua et al., 2017; Mortola and Feher, 1998; Nilsson and Renshaw, 2004; Wood and Gonzales, 1996).

Although there was little to no change in both metabolic rate and Tb with hypoxia, the RER increased from ∼0.8 in normoxia trials to ∼1.0 in all hypoxia exposures, but only reached significance at 6% O2 (P=0.0011, F5,62=15.09, Fig. 1C). This shift is indicative of a metabolic fuel switch from lipids/proteins to carbohydrates. Such a shift is consistent with an upregulation of anaerobic carbohydrate breakdown during acute hypoxia to sustain cellular function. Increased reliance on anaerobic pathways typically results in the accumulation of acidic end products in metabolically active tissues, the clearance of which requires O2 (Coffman, 1963; Lewis et al., 2007; Maxime et al., 2000; Plambech et al., 2013; Svendsen et al., 2012). Indeed, the observed shift in RER was rapidly reversed following reoxygenation via a sharp increase in O2 (Fig. 1A), which is consistent with the accumulation of an O2 debt in hypoxia. Adaptive mechanisms that prevent the formation of an O2 debt, such as use of alternative energy pathways or enhanced pH buffering, are common in hypoxia-tolerant species (Jackson et al., 1996; Park et al., 2017).

Since star-nosed moles were not fasted prior to experimentation and have a protein-rich insectivorous diet (Campbell et al., 2000), it is also possible that the observed metabolic fuel switch to primarily carbohydrates in hypoxia may have resulted in the accumulation of protein-based substrates. Increased O2 upon reoxygenation may indicate a return to protein-based metabolism, which is more O2 intensive. Importantly, this possibility accounts for the simultaneously elevated O2 and normoxic-level RER (∼0.7) following hypoxia, whereas an O2 debt would more likely coincide with an RER below normoxic levels (Kaminsky et al., 1990; Takala, 1997).

Star-nosed moles do not have a blunted HVR

Most adult mammals increase ventilation in hypoxia (Frappell et al., 1992; Powell et al., 1998); however, the hypoxic threshold at which this response is initiated tends to be strongly blunted in hypoxia-tolerant species (Devereaux and Pamenter, 2020; Ivy et al., 2020; Tomasco et al., 2010). By contrast, star-nosed moles exhibited a robust HVR that was not blunted, in that both fR and ACRO2 were significantly increased in 15% O2. This activation threshold is inconsistent with observations from other subterranean and hypoxia-tolerant species. Instead, it is similar to that of non-fossorial species such as dogs, rats and rabbits, where the HVR is initiated at 15−16% O2 (Cao et al., 1992; Holloway and Heath, 1984; Sokołowska and Pokorski, 2006). Notably, both these variables continued to increase with progressively deeper hypoxia, with fR increasing by 167% in 6% O2 (P<0.0001, F5,62=53.15, Fig. 2B) and ACRO2 increasing by 341% at this same gas tension (P<0.0001, F5,62=41.13, Fig. 2D).

Fig. 2.

Ventilatory responses of star-nosed moles exposed to acute hypoxia. (A) Minute ventilation (E), (B) respiratory frequency (fR), (C) tidal volume (VT), (D) air convection requirement of oxygen (ACRO2), (E) air convection requirement of carbon dioxide (ACRCO2) and (F) oxygen extraction efficiency (EO2) of star-nosed moles during 210 min of either normoxia (open circles, n=7), or 35 min exposures of stepwise decreasing hypoxia and a 35 min normoxic recovery period (squares, for O2=20.95–9%, n=8; O2=6%, n=7; O2=20.95%/recovery, n=6). Data were analyzed by REML with Sidak's and Tukey's multiple comparisons tests (P<0.05, presented as means±s.e.m.). Time course measurements that do not share the same letter are significantly different, whereas significantly different values between normoxia and hypoxia are denoted by asterisks.

Fig. 2.

Ventilatory responses of star-nosed moles exposed to acute hypoxia. (A) Minute ventilation (E), (B) respiratory frequency (fR), (C) tidal volume (VT), (D) air convection requirement of oxygen (ACRO2), (E) air convection requirement of carbon dioxide (ACRCO2) and (F) oxygen extraction efficiency (EO2) of star-nosed moles during 210 min of either normoxia (open circles, n=7), or 35 min exposures of stepwise decreasing hypoxia and a 35 min normoxic recovery period (squares, for O2=20.95–9%, n=8; O2=6%, n=7; O2=20.95%/recovery, n=6). Data were analyzed by REML with Sidak's and Tukey's multiple comparisons tests (P<0.05, presented as means±s.e.m.). Time course measurements that do not share the same letter are significantly different, whereas significantly different values between normoxia and hypoxia are denoted by asterisks.

In addition to fR, VT also increased in acute hypoxia, reaching significance in 12% O2 and peaking at 53% over baseline in 6% O2 (P=0.0048, F5,62=6.948, Fig. 2C). Accordingly, E was also elevated in 12% O2 and progressively increased to a maximum of 320% above baseline in 6% O2 (P<0.0001, F5,62=51.57, Fig. 2A). ACRCO2 increased by 247% over this same interval (P<0.0001, F5,62=25.62, Fig. 2E). Of the total increase in E at 6% O2 (the most severe level of hypoxia tolerated), 63.5% was attributable to the increase in fR and 36.5% to the increase in VT. Although breathing more deeply requires greater energy expenditure, increasing VT increases non-dead space ventilation, thereby maximizing the gas exchange of each breath (Tenney and Boggs, 2011; Vitalis and Milsom, 1986). Relying predominantly on fR to increase O2 supply, as observed here, is a less efficient strategy as it results in a high degree of dead-space ventilation. The HVR of non-hypoxia-tolerant species are predominantly mediated by increases in fR (Izumizaki et al., 2004; Morris and Gozal, 2004), whereas hypoxia-adapted species tend to increase VT (Boggs et al., 1984; Devereaux and Pamenter, 2020).

Interestingly, EO2 was also significantly elevated by 12% O2 and reached a maximum 240% increase in 6% O2 (P<0.0001, F5,62=69.54, Fig. 2F). EO2 is the fraction of inhaled O2 that is absorbed into the body and is an indirect indicator of mechanisms that promote O2 supply during hypoxia, such as increases in blood O2 affinity (Ar et al., 1977; Johansen et al., 1976), gas diffusion, hematocrit, and/or cardiac output. The nearly 3.5-fold increase in EO2 suggests that compensatory mechanisms are robustly activated in star-nosed moles during hypoxia. While the blood O2 affinity of C. cristata (22.5 mmHg at 36°C) is generally slightly lower than that of fully fossorial moles (Campbell et al., 2010; Quilliam et al., 1971), it is markedly higher than similarly sized non-subterranean mammals. Consistent with genome analysis revealing an enrichment of genes for respiratory gas exchange (Jiang et al., 2020), star-nosed moles also exhibit an enlarged lung volume, high blood hematocrit (∼50%) and blood carrying capacity, and elevated muscle myoglobin content relative to fossorial moles (McIntyre et al., 2002). These traits align with the observed increase in EO2 and presumably are important for extending dive durations of this species. Finally, and unlike non-talpid subterranean lineages, star-nosed moles do not have expanded families of hypoxia-related genes relative to non-subterranean species (Jiang et al., 2020), supporting our finding that their metabolic and ventilatory responses are more in line with those of hypoxia-intolerant species.

Conclusions

Our results refute or a priori prediction that star-nosed moles are strongly hypoxia tolerant. Specifically, their relatively high lethal hypoxic (6% O2) and HVR thresholds (12–15% O2), the minimal HMR, and lack of Tb reduction in hypoxia are more similar to the phenotype of hypoxia-intolerant and non-fossorial mammals, and starkly contrast with the physiological responses of hypoxia-tolerant rodents.

Whereas metabolic depression and reduced thermogenesis are often key contributors to hypoxia tolerance, such responses may be maladaptive for star-nosed moles owing to their unusual biology and feeding behaviour. For example, the distribution of star-nosed moles is substantially further north than other North American talpids, which, coupled with their semi-aquatic habits and an inability to exploit facultative torpor, has presumably selected for a high metabolic intensity and stable Tb (Campbell et al., 1999). Indeed, consistent with results of previous studies (Campbell et al., 2000), our captive moles consumed more than their body mass per day.

Unlike hypoxia-tolerant rodents, star-nosed moles are voracious predators and meet their high energy requirements by actively searching both their invertebrate-dense tunnel systems and adjacent underwater areas (Hamilton, 1931). Further, the elaborate nose in the star-nosed mole has undergone strong directional selection for speed – capable of >10 prey searches per second – allowing the moles to consume hundreds of prey per minute (Catania and Remple, 2005). The likely consequence of their ‘hard-wired’ high metabolic intensity lifestyle and extreme sensory motor specialization for speed is a high continual supply of oxygen. Thus, despite exploiting shallow burrow systems constructed in muddy soils with limited gas exchange, star-nosed moles exhibit a relative hypoxia-intolerant phenotype, which is presumably mitigated by behavioural and respiratory adaptations for semi-aquatic life that maximize oxygen uptake and delivery (McIntyre et al., 2002). Whether or not a similar phenotype is shared by other fossorial talpid moles, which tend to exhibit lower metabolic intensities, more labile body temperatures and less specialized nasal somatosensory systems, is unknown and worthy of further investigation.

We thank L'Université do Québec à Rimouski for allowing us to use their facilities, as well as the University of Ottawa Animal Care Committee for advice.

Author contributions

Conceptualization: M.D., K.L.C., M.P.; Methodology: M.D., K.L.C., M.P.; Validation: M.D., K.L.C.; Formal analysis: M.D., K.L.C.; Investigation: M.D., K.L.C., D.M.; Resources: K.L.C., D.M., P.L.B., M.P.; Data curation: M.D.; Writing - original draft: M.D.; Writing - review & editing: K.L.C., P.L.B., M.P.; Supervision: M.P.; Project administration: K.L.C., M.P.; Funding acquisition: M.P.

Funding

This work was supported by an FRQS fellowship to D.M. and an NSERC Discovery grant (04229), an Ontario Early Researcher Award (ER17-13-021), and a Canada Research Chair (950-230954) awarded to M.E.P.

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Competing interests

The authors declare no competing or financial interests.

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