Abstract
The canine nasal cavity contains hundreds of millions of sensory neurons, located in the olfactory epithelium that lines convoluted nasal turbinates recessed in the rear of the nose. Traditional explanations for canine olfactory acuity, which include large sensory organ size and receptor gene repertoire, overlook the fluid dynamics of odorant transport during sniffing. But odorant transport to the sensory part of the nose is the first critical step in olfaction. Here we report new experimental data on canine sniffing and demonstrate allometric scaling of sniff frequency, inspiratory airflow rate and tidal volume with body mass. Next, a computational fluid dynamics simulation of airflow in an anatomically accurate three-dimensional model of the canine nasal cavity, reconstructed from high-resolution magnetic resonance imaging scans, reveals that, during sniffing, spatially separate odour samples are acquired by each nostril that may be used for bilateral stimulus intensity comparison and odour source localization. Inside the nose, the computation shows that a unique nasal airflow pattern develops during sniffing, which is optimized for odorant transport to the olfactory part of the nose. These results contrast sharply with nasal airflow in the human. We propose that mammalian olfactory function and acuity may largely depend on odorant transport by nasal airflow patterns resulting from either the presence of a highly developed olfactory recess (in macrosmats such as the canine) or the lack of one (in microsmats including humans).
Keywords: canine olfaction, macrosmatic, olfactory acuity, nasal airway, sniff, computational fluid dynamics
1. Introduction
The olfactory acuity of the dog (Canis familiaris), which can detect odorant concentration levels at 1–2 parts per trillion, is roughly 10 000–100 000 times that of the human (Walker et al. 2003, 2006). Though olfactory organ size (Smith et al. 2004; Pihstrom et al. 2005), neuronal density (Quignon et al. 2003) and the number of functional genes versus pseudogenes in the olfactory receptor gene family (Rouquier et al. 1998, 2000; Shepherd 2004; Rouquier & Giorgi 2007) certainly contribute to this disparity, these measures nonetheless fail to consider the anatomical structure of the nasal cavity and odorant transport from the external environment, by sniffing, to receptors on the cilia of the olfactory epithelium.
In a comparison of many species, Negus (1958) first recognized that gross anatomical structure of the nasal cavity is an indicator of olfactory acuity, with most keen-scented (macrosmatic) animals possessing a common nasal architecture that is absent in feeble-scented (microsmatic) species. Generally, the olfactory mucosa of macrosmats (e.g. dog (Evans 1993; Craven et al. 2007), cat (Negus 1958), rabbit (Kuramoto et al. 1985) and rat (Schreider & Raabe 1981)) is relegated to an ‘olfactory recess’, located in the rear of the nasal cavity and excluded from the main respiratory airflow path by a bony plate, the lamina transversa (figures 1 and 2a; Craven et al. 2007). The olfactory recess ‘is seen at its height of perfection in the dog’ (Negus 1958), but, as shown in figure 2b, is largely absent in microsmatic primates, specifically the Haplorrhini suborder (Smith et al. 2004, 2007) (e.g. human (Hornung 2006), rhesus monkey (Schreider & Raabe 1981) and marmoset (Smith et al. 2004)). In these species, the olfactory mucosa is characteristically located in the superior part of the nasal cavity, near the ‘roof’ of the ‘main nasal passage’ (figure 2b; Proctor 1982; Morrison & Costanzo 1990; Smith et al. 2007).
Despite the apparent correlation between nasal cavity structure and mammalian olfactory acuity, a suitable physical explanation has not yet been given, though few studies have considered the role of intranasal fluid dynamics and odorant transport. The fluid dynamics of olfaction includes odorant collection via active sniffing (external aerodynamics; Settles 2005) and transport of inspired scent within the nasal cavity (intranasal fluid dynamics). These phenomena provide bilateral samples of the odour environment for some animals (Wilson & Sullivan 1999; Rajan et al. 2006; Porter et al. 2007) and also determine the eventual fate of inspired scent since nasal airflow patterns control whether or not odour-laden air reaches the olfactory region of the nose, where odorant detection occurs. However, little is known about the fluid dynamics of olfaction except in rodents (Kimbell et al. 1997; Zhao et al. 2006; Yang et al. 2007) and humans (Hahn et al. 1993; Keyhani et al. 1995, 1997; Subramaniam et al. 1998; Kelly et al. 2000; Zhao et al. 2004, 2006; Shi et al. 2006). How odorant molecules reach the olfactory part of the nasal cavity during sniffing without being filtered by respiratory airways is not well understood, especially in non-primate mammals with extensive filtering apparatuses (Shepherd 2004). Given the convoluted nasal airway of most keen-scented species, particularly the canine (figures 1 and 2a; Craven et al. 2007), it is hypothesized that such fluid dynamic transport phenomena are highly optimized.
In addition to odorant receptors, a second class of chemosensory receptors was recently discovered in the mouse olfactory epithelium that is apparently associated with the detection of pheromones (Liberles & Buck 2006). Genes that encode these receptors have also been identified in humans and fish (Gloriam et al. 2005; Liberles & Buck 2006). Traditionally, pheromone detection in the canine is attributed to receptors in the vomeronasal organ, located in the rostral–ventral part of the nasal cavity (Evans 1993). However, given the discovery of Liberles & Buck (2006), the dog may also possess pheromone receptors in the sensory epithelium lining the olfactory recess.
In the respiratory airways, members of the bitter taste receptor (T2R) family are expressed in both ciliated and innervated epithelial cells. Shah et al. (2009) recently reported that motile cilia in the proximal respiratory airways of the human are chemosensory, expressing T2R receptors that detect noxious chemicals and initiate a signalling cascade, which leads to an increased ciliary beat frequency for enhanced mucociliary clearance. In rats and mice, Finger et al. (2003) located solitary chemoreceptor cells in the nasal respiratory epithelium that synapse with trigeminal afferent nerve fibres and express T2R receptors. Thus, in addition to free nerve endings beneath the epithelial surface, trigeminal chemosensory cells activate the trigeminal nerve when stimulated by inhaled noxious substances (Finger et al. 2003). Similar chemosensory function may also occur by motile cilia and non-olfactory innervated cells in the nasal cavity of the dog (see Evans (1993) for a description of the trigeminal and other cranial nerves).
2. Objectives
The objective of this study was to investigate canine nasal airflow and the implications regarding olfaction using a combined experimental and computational approach. Time-accurate airflow measurements of canine sniffing are first presented and are used to characterize the airflow rate, tidal volume and frequency of olfactory sampling by the domestic dog. Allometric scaling of the experimental data is demonstrated, which yields unique size-dependent relationships that describe air intake during sniffing. Using these data and a reconstructed anatomically accurate three-dimensional model of the nasal cavity, a high-fidelity computational fluid dynamics (CFD) simulation of sniffing is carried out that is used to study the external and internal fluid dynamics of olfaction in the dog. The functional implications of canine nasal airflow regarding olfaction are next considered. Lastly, a discussion and comparison of our results with nasal airflow in other species is provided that yields a new general explanation of mammalian olfactory function based on intranasal airflow patterns generated during sniffing, which partly explains the disparity in olfactory acuity of different animals and the macrosmatic versus microsmatic classification.
3. Material and methods
3.1. Experimental sniffing measurements
To characterize canine sniffing, seven dogs, ranging over nearly an order of magnitude in body mass (6.8–52.9 kg), were conditioned to sniff odour stimuli while wearing a muzzle that was specially designed to measure the time-accurate airflow rate during sniffing. As shown in figure 3, the muzzle design was minimally intrusive and consisted of a hot-film probe centred within the neck of an inlet contraction that included a smoothly contoured inlet ‘fairing’ (figure 3a). A short aerodynamic contraction was used to prevent separated airflow at the inlet during inspiration. Larger muzzle contractions were used in preliminary experiments, but were found to distract the animal subjects and prevented natural sniffing behaviour. Further, a transparent material was selected because the animals, likewise, were distracted by opaque muzzles. A strip of vinyl foam was used to form a seal between the muzzle and the dog's snout (figure 3a).
The airflow rate was obtained by calibrating the muzzle against a commercial flow meter (TSI Inc., model 4043). The experimental uncertainty was assessed by considering the error in the measured airflow rate associated with variable ambient air temperature. Given an ambient air temperature range of approximately 19–23°C, from a rigorous uncertainty analysis the overall error in these measurements was shown to be well bounded by ±10 per cent experimental uncertainty.
Each animal was trained to sniff a series of scent sources that were novel and unknown to it, comprising both food and neutral objects (Craven 2008), while wearing the muzzle. When presented with an unknown scent source, each of the dogs showed a curious instinctive response that included olfactory sampling via bouts of sniffing. Since long series of sniffs were desired, odours were presented continuously. In contrast, animals trained via operant techniques for odorant discrimination (Youngentob et al. 1987; Uchida & Mainen 2003) or localization (Marshall & Moulton 1977) sample odour with short bouts of sniffing. Our experiments, which were in compliance with protocol number 28431 as approved by the Institutional Animal Care and Use Committee at Penn State University, consisted of much longer bouts.
The present experimental technique permitted accurate measurement of inspiratory airflow rate, but only limited accuracy of expiratory airflow rate measurements. Consequently, quantitative expiratory results are not presented, though the qualitative characteristics are discussed. Nevertheless, compared with similar measurements made using a pneumotachometer (Marshall & Moulton 1977; Youngentob et al. 1987), this technique has minimal airflow resistance and thus a minimal influence on natural sniffing behaviour.
In all of the reported experiments, upon presentation of the scent source, there was an observed shift from respiration to sniffing by each of the dogs that was accompanied by the characteristic nostril motion described by Settles et al. (Settles et al. 2003; Settles 2005). Quantitatively, the measured response (frequency and airflow rate) was absolutely distinguishable from respiration. Specifically, sniffing occurred at a much higher frequency and yielded significantly higher airflow rates than normal respiration.
In general, inspiratory and expiratory phases of a sniff were easily distinguishable by the degree of unsteadiness in the measurement. Inspiratory measurements were smooth with little unsteadiness owing to the potential flow inlet of the muzzle, whereas expiratory airflow rates exhibited much unsteadiness owing to the turbulent exhaled air jet (figure 4a,b). The sniff frequency was determined via a fast Fourier transform (FFT) of the time-dependent airflow rate data (figure 4c). Consequently, the overall uncertainty in the reported sniff frequencies is low; a conservative estimate is ±1 per cent.
Forty-five trials containing over 300 sniffs were recorded, where for each animal multiple scent stimuli were tested to measure the natural range in sniff modulation associated with different odorants and concentrations. Though we did not explicitly correlate the results with either variable, some variability in the measurements was observed for the various odour stimuli, much like that briefly described elsewhere for the canine (Marshall & Moulton 1977) and also observed in the rat (Youngentob et al. 1987).
3.2. Computational fluid dynamics
An anatomically correct three-dimensional model of the left nasal airway of a 29.5 kg female Labrador retriever mixed-breed canine cadaver, reconstructed from high-resolution magnetic resonance imaging (MRI) scans (Craven et al. 2007), was used to carry out a large-scale CFD calculation of incompressible nasal airflow during a 5 Hz sniff. Development and verification of the model, which is generally representative of the mesaticephalic canine nasal cavity (Craven et al. 2007), has been shown (Craven et al. 2009). Here, we describe the fluid dynamics of canine olfaction from high-fidelity simulation results of physiologically realistic sniffing.
4. Results
4.1. Experimental characterization of canine sniffing
In general, sniffing consisted of an alternating series of inspirations and expirations in a roughly sinusoidal pattern, lasting from about one-half second up to several seconds for a long train of sniffs. Each trial typically contained a single bout of sniffs, while two distinct bouts rarely occurred and three were never observed. A bout, defined here as a period of active sniffing, characteristically began with a relatively weak sniff followed by a crescendo towards the largest sniff, judged by its airflow rate. Though a similar phenomenon has been observed in the rat (Youngentob et al. 1987), our data, which include longer bouts, reveal a subsequent reduction in sniff airflow rate (figure 4a). Further, long bouts of sniffing lasting more than 2 s reveal multiple maxima in airflow rate occurring at a relatively low frequency, in the 0.5–1.5 Hz range (figure 4b). Thus, during continuous stimulus presentation, natural sniffing behaviour appeared to be characterized by a subtle low-frequency modulation of sniff intensity organized as ‘bursts’ of sniffs, where each burst consisted of a crescendo and a decrescendo in airflow rate and lasted anywhere from about 0.5 to 2 s. Short sniffing bouts appeared as a single burst, whereas long bouts frequently contained multiple bursts.
The frequency of sniffing was rather uniform for all seven animals, regardless of odour source. For all trials, each of the dogs sniffed within a frequency band ranging from 4 to 7 Hz (figure 5a), which also encompasses the limited canine sniff frequency data reported elsewhere (Marshall & Moulton 1977; Thesen et al. 1993). Thus, canine sniff frequency occurs within the theta frequency band of olfactory neural activity (Lledo et al. 2005) (3–12 Hz) and is independent of body size, in contrast to respiratory frequency, which scales allometrically with body mass (Stahl 1967; Schmidt-Nielsen 1984). Remarkably, the sniff frequencies reported here compare well with the canine panting frequency measured by Crawford (1962) (5.33 ± 0.7 Hz), who also determined the natural resonant frequency of the canine respiratory system (5.28 ± 0.3 Hz) and concluded that dogs pant at this frequency to minimize energy expenditure. The canine may also sniff at this frequency, in part for the same reason. Further, canine sniff frequency is comparable to that measured in other keen-scented animals (e.g. rabbit (Glebovskii & Marevskaya 1968), rat (Youngentob et al. 1987; Uchida & Mainen 2003; Kepecs et al. 2007), and mouse (Wesson et al. 2008)), but is an order of magnitude faster than human sniffing, which occurs at only 0.3–0.7 Hz (Hornung et al. 2001; Hornung 2006; Porter et al. 2007) (figure 5a).
Inspiratory airflow rate and tidal volume are strong functions of body size; both scale approximately isometrically (figure 5b–d). In comparison with available data from other animals, rats also appear to fit these trends, whereas humans sniff at proportionally comparable airflow rates (figure 5b,c), but inspire significantly more air per sniff for their size (figure 5d). Moreover, comparing the allometry of olfaction and respiration, the allometric exponent of inspiratory tidal volume for canine sniffing (figure 5d) is similar to the well-established relationship for mammalian respiratory tidal volume (Stahl 1967) (1.04 ± 0.01), whereas inspiratory airflow rate (figure 5b,c) scales unlike the corresponding respiratory parameter, minute volume (Stahl 1967) (0.80 ± 0.01). Thus, unique biological scaling relationships exist for canine olfaction that regulate air intake in a manner fundamentally distinct from respiration.
Lastly, though we have not correlated expiration data, measured airflow rates were consistently less than or equal to inspiratory values, indicating an apparent accumulation of air in the lungs of the dog while sniffing. This behaviour, which has been briefly reported elsewhere (Marshall & Moulton 1977), also occurs in the rat (Youngentob et al. 1987).
4.2. External fluid dynamics of canine olfaction
Using the three-dimensional reconstructed model of the canine nasal cavity (figure 1; Craven et al. 2007, 2009) and the foregoing experimental data as boundary conditions, a high-fidelity CFD simulation was performed to study the external and internal fluid dynamics of canine olfaction throughout the course of a sniff. The results reveal that, during inspiration, air in the immediate vicinity of the canine nostril is drawn towards the naris, inducing inspiratory airflow within a small hemispherical region ahead of the naris (figure 6a). The spatial extent of this region is known as the ‘reach’ of the nostril. At peak inspiration a nostril reach of approximately 1 cm is induced, which corresponds to the distance within which dogs have been observed to hold their noses from the ground during scent tracking (Thesen et al. 1993). Further, the reach of a nostril is smaller than the internostril separation, indicating that each nostril samples air from spatially separate regions. Thus, the inspiratory external fluid dynamics of canine sniffing yields bilateral odour samples that may be exploited by bilateral neuronal pathways (Rajan et al. 2006) and spatially receptive neurons in the piriform cortex (Wilson 1997; Wilson & Sullivan 1999) for odour source localization.
On expiration, owing to the internal shape of the nasal vestibule (Craven et al. 2007), a ventral-laterally directed air jet is ejected from the nose (figure 6b). When sniffing a surface, such as the ground, the direction of the vectored expired airstream is such that it promotes disturbance and mixing of ambient odorants that may be subsequently inspired, while minimizing sample ‘blow-off’ directly ahead of the nostril. This has been observed in high-speed flow visualization experiments of canine sniffing (Settles et al. 2003; Settles 2005). Further, having been warmed by the respiratory airways, the expired jet may volatilize latent odorant traces on the surface (Settles 2005). Two large co-rotating vortices exist within the expired air jet with a rotation such that, when sniffing a surface, laterally located odorant signal is drawn towards the nose for sampling. Taken together, these fluid dynamic features of canine expiration increase the effective reach of the nose, enabling inspiration of otherwise inaccessible odours.
4.3. Intranasal fluid dynamics of canine olfaction
The internal fluid dynamics of olfaction in the dog is complicated by the compact, multipurpose design of the nasal cavity, where chemical sensing and respiratory air conditioning both occur. Computational solutions of inspiratory airflow during sniffing show that, although combined within the same organ, olfactory and respiratory airflows are fundamentally separate phenomena, each with a distinct flow path through the nasal cavity (figure 7a). During inspiration, one airway (the dorsal meatus; figure 2a) transports odorant-laden air to the olfactory part of the nose, while respiratory airways direct the remaining airflow away from the olfactory recess, towards the nasopharynx where it exits the nasal cavity. For the case described here of a relaxed, undilated nostril, the splitting of olfactory and respiratory airflow is such that approximately 12–13% of inspired air reaches the chemosensory region. Including physiologically realistic nostril motion during sniffing, which has yet to be fully defined for the canine, may increase this percentage as shown in CFD solutions of steady inspiration in the rat (Kimbell et al. 1997), where an artificial nasal vestibule repositioning to account for nostril mobility resulted in slightly more airflow (approx. 2–3%) reaching the olfactory recess and no change in the overall nasal airflow pattern (see §5 for canine versus rodent nasal airflow).
Upon entering the nasal cavity, inspiratory airflow is well mixed within the nasal vestibule by turbulence prior to splitting into olfactory and respiratory flow paths, thus ensuring delivery of a representative odour sample to the dorsal meatus (Craven et al. 2007, 2009; Craven 2008). High-velocity olfactory airflow in the dorsal meatus then quickly transports the odorant to the rear of the olfactory recess, where the airflow turns 180° and slowly filters forward through the olfactory airway labyrinth (figure 7b). Here the small size and intricate scrollwork of the olfactory airways promote laminar flow and provide a large surface area (approx. 200 cm2) (Craven et al. 2007) for odorant deposition. Finally, olfactory airflow either exits the nasal cavity via the nasopharynx or continues to flow forward into the dorsal-most ethmoturbinate extensions of the olfactory recess (Craven et al. 2007), where it remains at the conclusion of inspiration (shown in figure 7a,b as pathlines that terminate in this region).
During expiration, owing to the architecture of the nasal cavity, no appreciable airflow enters or exits the olfactory recess (figure 7c); throughout this phase of the sniff, the air in the olfactory region is essentially quiescent. Expiratory airflow proceeds from the nasopharynx, through the respiratory region, and exits the nasal cavity at the naris. Functionally, this unique nasal airflow pattern that develops during sniffing, which includes unidirectional laminar flow through the olfactory recess during inspiration and a quiescent period during expiration, is ideal for ‘chromatographic’ odorant separation (Mozell 1964; Schoenfeld & Cleland 2005) and provides additional residence time for odorant vapour absorption (Craven 2008), respectively.
5. Discussion
5.1. The role of the canine olfactory recess in olfaction
The anatomical structure of the canine nasal cavity is remarkably well organized for efficient intranasal odorant transport, which may partly explain macrosmia in the dog and other similarly organized animals. The overall location and configuration of the sensory region is shown here to be critical to the intranasal fluid dynamics of canine olfaction, forcing a unique nasal airflow pattern during sniffing that is optimized for odorant delivery to the sensory part of the nose. Specifically, the relegation of olfaction to an olfactory recess, in the rear of the nasal cavity and off the main respiratory passage, forces unidirectional airflow there during inspiration and a stagnant period during expiration. Results from a multi-physics vapour transport and deposition model (Craven 2008) show that this cyclic airflow pattern yields unique spatio-temporal odorant deposition patterns along the olfactory epithelium for different chemicals, which may be used by the canine to enhance olfactory discrimination. Accordingly, differential spatio-temporal deposition patterns across the olfactory epithelium of both left and right nasal cavities, resulting from bilateral odour samples provided by the external fluid dynamics of sniffing, could be used for odour source localization. Therefore, the olfactory acuity of the dog appears to inherently depend on its nasal airway architecture and odorant transport by these unique nasal airflow patterns generated during sniffing.
In general, owing to the nasal cycle (Bojsen-Møller & Fahrenkrug 1971; Webber et al. 1987; Sobel et al. 1999), in vivo airway dimensions will vary periodically depending on the degree of nasal turbinate engorgement (Guilmette et al. 1989). Such variability is restricted to the respiratory part of the nose, where plentiful vasculature, capable of considerable constriction or dilation, is found in the lamina propria beneath the respiratory epithelium (Negus 1958). In contrast, the lamina propria below the olfactory epithelium does not contain a rich vascular network and the thickness of the olfactory mucosa does not change appreciably owing to the nasal cycle (see Negus (1958, fig. 99), for photographs of coronal sections of the domestic cat nose that illustrate the influence of vascular constriction and dilation on nasal airway dimensions in respiratory versus olfactory parts of the nose).
Functionally, the canine nasal cycle periodically changes the airflow resistance of the nose via autonomic nervous control of the respiratory nasal vasculature (Lung & Wang 1989), which may result in a reduction of or increased airflow through either nasal cavity during sniffing. This may alter the airflow rate and the fraction of inspired air reaching the olfactory recess via the dorsal meatus, but because the olfactory part of the nose does not undergo vascular constriction or dilation, the nasal cycle is not expected to affect the unique nasal airflow patterns reported here during sniffing.
5.2. A general explanation of macrosmia
Considering gross nasal airway anatomy, all macrosmatic species (e.g. carnivores (Van Valkenburgh et al. 2004; Craven et al. 2007), rodents (Schreider & Raabe 1981), ungulates (Negus 1958) and marsupials (Negus 1958)) apparently possess the traits required for such olfactory airflow phenomena. Specifically, these animals all have a dorsal meatus bypassing respiratory airways of variable complexity (Negus 1958), leading to an olfactory recess. This general macrosmatic nasal airway architecture probably leads to olfactory airflow patterns similar to those shown here for the canine, which appear to be indicative of high olfactory acuity. Steady-state CFD calculations of nasal airflow in the rat (Kimbell et al. 1997; Zhao et al. 2006; Yang et al. 2007), most recently for expiration (Zhao et al. 2006; Yang et al. 2007), corroborate this theory.
In contrast, the microsmatic human nasal cavity (figure 2b) has no olfactory recess and the resulting airflow patterns vary markedly from those in the canine and rat (e.g. Keyhani et al. (1995), Subramaniam et al. (1998) and Zhao et al. (2004, 2006) for human nasal airflow results). Further, human sniffing can yield dramatically different intranasal airflow patterns in the right and left nasal cavities of the same subject (Zhao et al. 2004) or even separated airflow within the olfactory region (Swift & Proctor 1977), a fluid dynamic phenomenon that is undesirable for consistent odorant deposition and chromatographic separation patterns. Since the olfactory region is located along the main airflow path through the nose and not within a highly developed olfactory recess (figure 2), when humans expire the sensory area is either purged of odorant or delivered a fresh odour sample via the retronasal route. The present results show that this does not occur in the canine, where olfactory stimulation by inspired odorant may continue throughout the expiratory phase of a sniff because the overall nasal airflow pattern prevents retronasal access to the olfactory recess. Therefore, mammalian olfactory function and acuity appears to inherently depend on nasal airway anatomy and the intranasal airflow patterns produced by the presence or absence of an olfactory recess. This may further influence natural sniffing behaviour and partly explain the comparative similarity of canine and rat sniffing shown here in contrast to the microsmatic human.
Acknowledgements
We thank A. G. Webb and T. Neuberger for the MRI data. We also thank S. Bumbarger, D. Albright, C. Williams, A. Spangler, J. and G. Lawson, and M. and M. Kinzel for volunteering and training the dogs used in this study. We are grateful to D. E. Hornung, E. M. Josephson and B. Van Valkenburgh for helpful comments and E. R. Craven, M. J. Lawson, L. J. Dodson and J. D. Miller for technical assistance. Finally, the authors appreciate insightful comments from three anonymous reviewers. This work was funded by the Office of Naval Research (grant N00014-05-1-0844).
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