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Journal of the Royal Society Interface logoLink to Journal of the Royal Society Interface
. 2016 Dec;13(125):20160615. doi: 10.1098/rsif.2016.0615

A tale of two antennules: the performance of crab odour-capture organs in air and water

Lindsay D Waldrop 1,4, Laura A Miller 2,3, Shilpa Khatri 1,
PMCID: PMC5221524  PMID: 27974576

Abstract

Odour capture is an important part of olfaction, where dissolved chemical cues (odours) are brought into contact with chemosensory structures. Antennule flicking by marine crabs is an example of discrete odour capture (sniffing) where an array of chemosensory hairs is waved through the water to create a flow–no flow pattern based on a narrow range of speeds, diameters of and spacings between hairs. Changing the speed of movement and spacing of hairs at this scale to manipulate flow represents a complicated fluid dynamics problem. In this study, we use numerical simulation of the advection and diffusion of a chemical gradient to reveal how morphological differences of the hair arrays affect odour capture. Specifically, we simulate odour capture by a marine crab (Callinectes sapidus) and a terrestrial crab (Coenobita rugosus) in both air and water to compare performance. We find that the antennule morphologies of each species are adaptions to capturing odours in their native habitats. Sniffing is an important part of odour capture for marine crabs in water where the diffusivity of odorant molecules is low and flow through the array is necessary. On the other hand, flow within the hair array diminishes odour-capture performance in air where diffusivities are high. This study highlights some of the adaptations necessary to transition from water to air.

Keywords: biofluids, Callinectes, Coenobita, terrestrialization, mathematical model, advection diffusion

1. Introduction

Olfaction, gathering information from dissolved chemical cues (odours), is a process important for animals in both marine and terrestrial habitats for mediating reproduction, finding food and avoiding predators [14]. An important step in olfaction is odour capture, where many animals generate flow relative to their chemosensory organs. During odour capture, this fluid movement serves several purposes, including the transport of odorant molecules close to olfactory receptors at the surface of the organ and the acquisition of temporal and spatial information about the odour source (reviewed in earlier studies [57]).

Many animals, including marine crustaceans and insects, use arrays of bristle-like chemosensory hairs in order to capture odours. In addition to olfaction, bristled arrays are common tools for a variety of tasks involving fluid–structure interactions, including feeding, swimming and flying, in a regime where inertial and viscous forces are balanced [8]. At this scale, bristled arrays typically act as a solid surface, but there may be moments of higher velocity, interactions with surfaces or increased spacing between bristles such that the arrays act as leaky rakes. Animals have creative ways of taking advantage of this transition. For example, copepods, small marine crustaceans, will slowly open their bristled feeding appendages to pull in water, and then quickly slap the appendages together to capture plankton between the bristles [9]. The smallest flying and swimming insects use bristled wings to reduce the force required to clap wings together and fling them apart [10].

When animals transition from water to air during the process of terrestrialization, the properties of the fluid change drastically: the density (ρ) of air is 1/1000 of water, the dynamic viscosity (μ) of air is 50 times less than water and the diffusion coefficient (D) of similar chemicals typically is thousands of times greater in air than in water. These changes will affect both fluid-flow patterns (advection) and molecular diffusivity (diffusion). Changing fluid will alter the antennules' Reynolds number (Re = ULρ/μ), a dimensionless number based on a characteristic length (L) and speed (U) describing the ratio of inertial to viscous forces in fluid flow, indicating a major change in advective patterns surrounding the hairs. Additionally, the Péclet number (Pe = UL/D) is used to determine the relative importance of advection and diffusion in mass transport where Inline graphic indicates diffusion-dominated transport and Inline graphic indicates advection-dominated transport. For antennules moving from water to air, values for Pe cross this threshold from advection-dominated transport in water to diffusion-dominated transport in air.

Although it is clear that this transition from water to air alters the dynamics of odour capture, early terrestrialization events that occurred deep in time (many hundreds of millions of years ago) leave few clues as to how odour capture in air evolved. Studying recent examples of terrestrialization can provide insights into the general process of adapting odour capture to air.

One example of a relatively recent event is the split between marine and terrestrial hermit crabs (84 to 39 million years ago [11]). Marine and terrestrial hermit crabs capture odours with dense arrays of bristle-like chemosensory hairs, called aesthetascs, which they flick back and forth using antennules (figure 1). These arrays operate at the same scale where a bristled surface can act as either a solid surface or a leaky rake [7]. Previous work suggests that the aesthetasc arrays of marine crabs act as leaky rakes during the flick or downstroke. During the return stroke, the arrays trap water between the hairs [15]. This sequence creates a flow–no flow pattern within the aesthetasc array, allowing marine crabs to take discrete samples of odour-containing water [7,16,17]. The ability to discretely sample is an important aspect of odour capture [18]. The flexibility of the marine crab's aesthetascs also helps to drive water into the array during the flick since hydrodynamic drag forces the hairs apart [15,19] (figure 1). In contrast, the aesthetascs of terrestrial hermit crabs are short, stiff and lay shingle-like close to the body of the antennule or flagellum (figure 1) [14]. The gaps between aesthetascs for terrestrial crabs are much smaller than those of the marine crabs. Terrestrial hermit crabs lack the flow–no flow pattern seen in marine–crab arrays [20].

Figure 1.

Figure 1.

Top left: adult terrestrial hermit crab Coenobita rugosus with black box around antennule, photo credit: J. Poupin, Moorea Island, photo in [12]. Bottom left: adult marine crab Callinectes sapidus with black box around antennule, photo credit: NOAA Fisheries Image Gallery [13]. Middle: schematic of the antennules of the terrestrial hermit crab (top) and the marine crab (bottom). Right: schematic of individual aesthetascs of terrestrial hermit crab (top) and marine crab (bottom) after fig. 29 in [14]; (a) area of thinned cuticle able to accept odorants, (b) area of thickened, impenetrable cuticle around the aesthetasc, (c) dendrite branches, (d) cuticle and (e) sheaths.

These differences in hair-array morphology suggest that terrestrialization has significant consequences for the physical process of odour capture. Although it is well understood that the physical demands organisms experience in air and water are strikingly different, very few studies have directly compared those demands in related species. This is due to the inherent limitations of traditional techniques for studying odour capture. The aesthetasc arrays of crabs are too small to observe fluid flow directly. Measuring and comparing performance through animal experiments in two fluid habitats on a single species is not possible owing to various physiological and behavioural constraints. As a result, studies of odour capture are generally limited to quantifying the performance of a single species [5,7,21] or finding correlations between morphology and habitat [22].

We present a novel approach to studying odour capture in different fluid habitats using a computational model of odour capture. Previously, odour capture by aesthetascs has been simulated by coupling flow and diffusion near the hairs of a single species [16,17,23]. In each case, the flow fields were either taken from measurements on dynamically scaled models or from numerical simulations of a single fluid environment. In all cases, the numbers of hairs were limited to arrays with either three aesthetascs [16,17] or two aesthetascs [24].

In this paper, we model the advection and diffusion of a chemical gradient in air and water through the aesthetasc arrays of a terrestrial hermit crab (the ruggie hermit crab, Coenobita rugosus) and a marine crab (the blue crab, Callinectes sapidus), which closely resemble the arrays of marine hermit crabs. Owing to the complex arrangement and large number of haphazardly arranged aesthetascs of the marine crab (of the order of hundreds), it is not feasible to compute unsteady flow fields in two or three dimensions. This is due to the fact that the full Navier–Stokes equations must be solved with sufficiently high resolution to capture both the advection and diffusion of a chemical gradient through a complex moving boundary (see the Material and methods and electronic supplementary material for a more detailed explanation).

Given the challenges described above, we combine measured flow fields taken from dynamically scaled, physical models with numerical simulations of the advection, diffusion and uptake of chemical gradients. By coupling flow fields with diffusion and uptake, we have created a standardized odour-capture metric to directly compare the performance of each species in terrestrial and aquatic environments. Quantifying the performance of each species' hair array in both habitats reveals the role of morphology during the process of terrestrialization. Because theoretical models give us control over each aspect of odour transport (e.g. advection, diffusion and the role of morphology), we can quantify the effect of each of these parameters independently.

2. Material and methods

Ideally, we would be able to model and numerically simulate the full Navier–Stokes equations with a moving array and the advection and diffusion of a chemical gradient in three dimensions. Currently, it is not feasible to solve for the three-dimensional fluid flow through about 200 hairs at intermediate Reynolds numbers where insufficient resolution can dramatically alter the flow near the hairs. Given the intermediate Reynolds number regime (0.1 < Re < 10), it is also necessary to solve the full Navier–Stokes equations, and the Stokes or Oseen approximations are not appropriate. To accurately compute the flow through structures in this sensitive Reynolds number regime, extremely small computational grids are needed. Assuming 20 grid points are sufficient in one dimension to accurately resolve the flow between each pair of aesthetascs, approximately 100 000 000 grid points would be needed to resolve the flow in a 2 × 2 × 2 mm3 domain, based on the spacing of the marine crab hairs shown in figure 2. This resolution is prohibitive, even with today's advanced computational capabilities. We present our mixed model, based broadly on Stacey et al. [16], as a solution to this challenge.

Figure 2.

Figure 2.

Diagram of particle image velocimetry (PIV) set-up and results for the marine crab dynamically scaled physical model. Left: the model was dragged through a tank of oil with reflective marker particles in the direction indicated by the arrows. The camera was mounted above the model antennule and captured images at 60 fps. Particle movements were illuminated in a two-dimensional plane created by the laser. Velocities were reconstructed from consecutive image pairs, using MatPIV v. 1.6.1 [25] (for more details, see electronic supplementary material and [15,20]). Right: PIV results. Top left: downstroke in air; top right: return stroke in air; bottom left: downstroke in water; bottom right: return stroke in water. Aesthetascs are white outlined in black, the flagellum of model is shown in white and lies to the left of each vector field.

2.1. Particle image velocimetry

Velocity fields used in the mathematical model and numerical simulations were measured on dynamically scaled physical models of the antennules of the terrestrial hermit crab, Coenobita rugosus Milne–Edwards 1836 (representing the terrestrial crab morphology), and of the blue crab, Callinectes sapidus Rathburn 1896 (representing the marine crab morphology). These particle image velocimetry (PIV) fields are from previously published studies (marine crab: [15], terrestrial crab: [20]). Details of the physical models, the PIV set-up and PIV post-processing can be found therein. Figure 2 contains a brief summary of these methods, and more details can also be found in the electronic supplementary material to this paper.

We simulated flow through the arrays of both species in different fluids, using geometrically scaled physical models of the flagellum and aesthetasc array. The models were moved at velocities (U) required to match the Reynolds numbers of each fluid (Re = UL/ν) based on the aesthetasc diameter (L) and the fluid's kinematic viscosity (ν = μ/ρ). Fluid velocities were measured using PIV (figure 2 for marine crabs and figure 3 for terrestrial crabs). Data were taken within a laser sheet that bisected a section of the flagellum and aesthetasc array. This created a cross section of each aesthetasc, as shown by the white circular or elliptical shapes immersed in the velocity fields. Note that in the case of the terrestrial crab, there were about 12 ellipse-shaped hairs. For the marine crab, there were about 151 circular hairs. Velocity fields are scaled to the characteristic velocity of the animal during flicking.

Figure 3.

Figure 3.

Diagram of PIV set-up for the dynamically scaled physical model of the terrestrial hermit crab antennule. Left: the camera mounted above the model antennule shows the capture area of the two-dimensional plane created by the laser where velocity vector fields were measured. Right: PIV results. Top left: downstroke in air; top right: return stroke in air; bottom left: downstroke in water; bottom right: return stroke in water.

2.2. Mathematical modelling

We have developed a mathematical model to couple the experimental velocity data (collected via PIV as described above) with the advection, diffusion and uptake of the odour concentration. We have solved

2.2. 2.1

for the odour concentration, C(x, y, t) in a given domain Ω, with the steady-state experimental velocity fields, (u, v) and diffusion coefficient, D. The details of the numerical method and pre-processing of the experimental velocity fields are in the electronic supplementary material of this paper.

We have measured the odour capture of each crab by placing aesthetascs in Ω (as located in the collection of the PIV data) and observing how much odour was captured by each aesthetasc and removing that odour from the environment as it was captured. Beyond varying the environmental conditions, we have considered two initial conditions for the model, a thin and a thick filament. We have developed a numerical method to solve this mathematical model for the odour concentration captured. The odour concentration presented in figure 4 is standardized as described below to allow for comparisons between different simulation cases. Further details of the model and of the numerical method are given in the following and in the electronic supplementary material.

Figure 4.

Figure 4.

Normalized odour concentration absorbed by individual aesthetascs where size and colour correspond to total amount for the marine crab array (left) and terrestrial crab array (right) in a thin odour filament. (a,b) flicking in water (Rewater, Dwater); (c,d) flicking in air (Reair, Dair). Yellow represents high odour concentrations and blue represents low concentrations.

To determine how the altered flow patterns would impact odour capture, we simulated chemical transport to the aesthetasc using a model of advection, diffusion and uptake. The velocity fields were obtained from the previously described experimental measurements. A no-slip boundary condition was enforced at the boundary of each aesthetasc. The diffusion coefficients (Dair, Dwater) were chosen to reflect the diffusivity of common odorants in air or water. The initial condition of the chemical gradients was chosen to model the natural conditions of odorants. These choices included ‘thin’ filaments for water (a narrow filament that extends the vertical distance of the domain) and ‘thick’ filaments for air (a filament that extends beyond the domain in the horizontal axis). For each time step, odorant that diffuses into the aesthetasc is recorded and removed. Each set of conditions was repeated, using three unique sets of experimental velocity fields that represented independent replicates of the arrays used in antennule flicking.

With this model, we were able to simulate the environmental conditions reflective of either air or water in two parts: (i) using a diffusion coefficient of a typical molecule in either air (Dair) or water (Dwater) and (ii) using the experimental velocity fields for the downstrokes and return strokes for antennule flicking observed at Reynolds number in air (Reair) or water (Rewater). Values of the Reynolds numbers used can be found in table 1 (for Callinectes sapidus) and table 2 (for Coenobita rugosus). We were also able to pair non-matching environmental conditions (e.g. diffusion of air (Dair) with the velocity fields of water (Rewater)) to investigate the effect of each on odour capture.

Table 1.

Values used for creating velocity fields, using dynamically scaled physical models of the terrestrial hermit crab, Coenobita rugosus.

parameter air water
diffusion coefficient, D (m2 s–1) 6.02 × 10−6 7.84 × 10−10
kinematic viscosity, ν (m2 s–1) 8.50 × 10−6 1.05 × 10−6
downstroke speed, U (m s–1) 0.063 0.063
actual downstroke Rea 0.11 0.90
modelled downstroke Rea 0.098 0.77
downstroke Peb 0.16 1200
return stroke speed, U (m s–1) 0.11 0.11
actual return stroke Rea 0.19 1.6
modelled return stroke Rea 0.21 0.77
return stroke Peb 0.27 2,100

aUsing Re = UL/ν, aesthetasc diameter L = 1.5 × 10−5 m [26].

bUsing Pe = UL/D, aesthetasc diameter L = 1.5 × 10−5 m [26].

Table 2.

Values used for creating velocity fields, using dynamically scaled physical models of the marine blue crab, Callinectes sapidus.

parameter air water
diffusion coefficient, D (m2 s–1) 6.02 × 10−6 7.84 × 10−10
kinematic viscosity, ν (m2 s–1) 8.50 × 10−6 1.05 × 10−6
downstroke speed, U (m s–1) 0.17 0.17
actual downstroke Rea 0.18 1.5
modelled downstroke Rea 0.20 1.6
downstroke Peb 0.25 2000
return stroke speed, U (m s–1) 0.061 0.061
actual return stroke Rea 0.060 0.52
modelled return stroke Rea 0.070 0.57
return stroke Peb 0.091 700

aUsing Re = UL/ν, aesthetasc diameter L = 9.0 × 10−6 m [15].

bUsing Pe = UL/D, aesthetasc diameter L = 9.0 × 10−6 m [15].

For each marine crab simulation, the downstroke velocity field is applied for 0.0152 s, then the return stroke velocity field is applied for 0.0248 s, and then the velocity is set to 0 for a rest period of 0.24 s. For the terrestrial crab simulations, the downstroke velocity field is applied for 0.0782 s and the return stroke velocity field is applied for 0.0603 s. The diffusion coefficient, D, depends on whether the crabs are in water or in air. Values are given in tables 1 and 2.

In order to make the simulations directly comparable between fluids and morphologies, results were standardized in two ways. First, we divided the raw concentration captured by the maximum concentration of the initial condition for each simulation (C), to find the fraction of chemical captured (C/C). Second, we divided the fraction of chemical captured by an effective capture area of each array, d, described below. When both standardizations are performed, the adjusted captured concentration is reported as C/(C·d).

Because each species' array had different areas of contact with odour-containing fluid, we standardized this surface by defining an effective capture area of the array as sum of the circumferences of all aesthetascs that captured an unadjusted concentration of at least 1 × 10−10. For the terrestrial crabs, every hair caught at least this much concentration for every case, so the effective capture area was the sum of the circumferences of all aesthetascs. For marine crabs, simulations yielded different effective capture areas as some aesthetascs in each simulation captured no chemical (figure 4). The number of hairs capturing a minimum concentration was multiplied by the aesthetasc circumference to find the effective capture area.

2.3. Statistical analysis

Values of the amount of chemical captured are the result of three replicate runs (n = 3), using three replicate sets of PIV flow fields (downstroke and return stroke data). In figure 5, all values are reported with 95% confidence intervals. For comparisons with non-overlapping confidence intervals, we assumed that the comparisons were significant at α = 0.05 level. For comparisons with overlapping confidence intervals, we tested each using a double-tailed Welch's t-test with a Bonferroni correction. The t-statistic and adjusted p-values are reported with each of these comparisons and treated as significant at α = 0.05. All statistical analyses were completed in R, using the basic statistics package [27].

Figure 5.

Figure 5.

Total capture of available odour concentration (C/(C·d) in mm−1) reported with 95% CIs versus simulation time (in s) by aesthetascs flicking through thin (a,b) and thick (c,d) odour filaments. (a) For marine crabs (solid lines) and terrestrial crabs (dashed lines) in air (Reair, Dair; red lines) and water (Rewater, Dwater; blue lines). (b) For marine crabs (solid lines) and hermit crabs (dashed lines) with altered Reynolds numbers: Rewater, Dair (dark red) and Reair, Dwater (dark blue). (c) For marine crabs (solid lines) and terrestrial crabs (dashed lines) in air (Reair, Dair; red lines) and water (Rewater, Dwater; blue lines). (d) For marine crabs (solid lines) and terrestrial crabs (dashed lines) in air (Reair, Dair; dark red) and water (Rewater, Dwater; dark blue) with reversed flick durations (T): terrestrial crab morphology flicks with duration of marine crab and marine crab morphology flicks with duration of terrestrial crab. In all plots, grey, dotted, vertical line gives duration of marine crab downstroke and black, dotted, vertical line gives duration of marine crab flicking. Grey, solid, vertical line gives duration of terrestrial crab downstroke and black, solid, vertical line gives duration of terrestrial crab flicking. Movies of simulations can be found in the electronic supplementary material.

3. Results

3.1. Changing fluids alters flow patterns for marine but not terrestrial crabs

For the marine crab in water, fluid flow within the array demonstrates the classic flow–no flow pattern of marine malacostracan sniffing reported elsewhere [7,15,19,21]. Flow is relatively high during the downstroke and near-zero during the return stroke. This can be seen by comparing the velocity magnitudes within the array in the bottom left and bottom right panels in figure 2. This pattern is highly dependent on the Reynolds number and the spacings between aesthetascs. Previous studies have found that decreasing the Reynolds number of the downstroke below approximately 0.6 dramatically reduces flow within the array [7,15].

During terrestrialization, the fluid in which the aesthetasc array is immersed changes from water to air. Although our models of the downstroke of a marine crab in air are set to the same speed as in water, the Reynolds number decreases by a factor of 16 due to the fact that the kinematic viscosity of air is higher than water. As a result, the downstroke Reynolds number drops below the value that allows flow within the array, and the flow–no flow pattern disappears. Air flow within the array during both the downstroke and return stroke is near zero (top two panels of figure 2).

For the terrestrial crab, flow within the array indicates the absence of the flow–no flow pattern in air [20]. Flow within the aesthetasc array remains low for both the downstroke and return stroke (top two panels of figure 3). Remarkably, fluid flow within the array is also near-zero for terrestrial crabs flicking in water (bottom two panels of figure 3), despite the fact that the Reynolds number increases by an order of magnitude. In summary, the configuration of the terrestrial crab array does not allow significant flow within the array for either stroke or fluid medium, suggesting that diffusion dominates over advection for odour capture.

3.2. Simulating odour capture reveals antennule specialization

To compare the performance of the crabs in both environments and with both initial conditions, eight simulations were performed for each species. Figure 5a,b, show the results for a thin filament, and figure 5c,d show the results for a thick filament. The simulations performed using Dair are shown in red, and those performed with Dwater are shown in blue. All solid lines represent simulations that use the morphology of the marine crab array, and the dashed lines show results for the terrestrial crab array. Figure 5a,c,d use the Re appropriate to the fluid medium (Reair is shown in red and Rewater is shown in blue) except for figure 5b where the Re are swapped. In this panel, Dair and Rewater are shown in red, and Dwater and Reair are shown in blue. Finally, the flick durations (T) are species specific in figure 5a–c and are swapped for figure 5d.

Each crab captures a greater fraction of available odorant in their native fluid environments. In air, terrestrial crabs (Reair, Dair) capture 2.0 times more odorant than marine crabs (Reair, Dair) when presented with a thin filament and 2.9 times more when presented with a thick filament (figure 5a,c, red lines). In water, marine crabs (Rewater, Dwater) capture 6.8 times more concentration than terrestrial crabs (Rewater, Dwater) for a thin filament and 17 times more for a thick filament (figure 5a,c, blue lines). Further, the flow–no flow pattern is highly beneficial for marine crabs. The benefit of water flow within the array is so great that the performance of marine crabs in air and water is comparable when the capture area is controlled despite several orders of magnitude difference in diffusivity (figure 5a, solid lines).

If the diffusivity of air (Dair) is used, marine crab arrays with greater fluid penetration (Rewater) capture more odorant than simulations with limited fluid penetration in the array (Reair) (figure 5a,b, solid red lines). When diffusivity of water (Dwater) is used, marine crabs in flows with less fluid penetration during the downstroke (Reair) capture less odour than in simulations with more fluid penetration (Rewater) (figure 5a,b, solid blue lines). Note that this difference is not, however, significant (t = 3.4, adjusted p = 0.33).

The transition to Reynolds number of air affects the distribution of odour capture in the marine crab's array. In water, fluid penetration into the marine crab array results in a large number of aesthetascs participating in odour capture at a greater depth in the array (figure 4a). When moved to air, fewer aesthetascs capture odours, and these aesthetascs are restricted to the very edge of the array (figure 4c).

In contrast, odour capture for terrestrial crabs in air does not depend upon changes in flow within the array. For both air and water, odour capture is restricted to the outer edges of its array (figure 4b,d). When the diffusion coefficient is controlled, total odour capture rates are also not significantly different for flicking with the Reynolds numbers of air or water (for Dair: figure 5a,b, dashed red lines; t = 0.95, adjusted p = 1; for Dwater: figure 5a,b, dashed blue lines; t = –0.99, adjusted p = 1).

The same morphology that gives terrestrial crabs an advantage in air negatively impacts the odour-capture performance in water owing to the change in diffusivity and the lack of a flow–no flow pattern. Because the diffusion coefficient is smaller in water and no water penetrates the array to bring odour molecules close to the aesthetascs, odour capture from thin filaments in water is only a small fraction of that captured in air (figure 5a, blue and red dashed lines). The reduction of odour capture in water is also found for thick filaments (figure 5c, dashed blue and red lines).

The differences in fluid flow and diffusion coefficients are not the only features of the animals' environment that change between water and air. High-concentration odour filaments, created by turbulent mixing of fluid, differ in many ways between air and water. One feature is the size of these filaments; odour filaments in air are much wider than those of water. Consideration of this feature further enhances the fluid-specific benefits of each aesthetasc–array morphology. When flicking through a thick filament, terrestrial crabs capture 123 times more odorant in air than they do in water (figure 5c, dashed red and blue lines). The difference in performance between air and water for a thin filament is smaller than the difference in performance for a thick filament, being only about one order of magnitude (figure 5a, dashed red and blue lines).

When comparing figure 5c,d, the duration of the flick (T) was altered from the biologically relevant case (long flick for terrestrial crabs, short flick for marine crabs) to the swapped case (long flick for marine crabs, short flick for terrestrial crabs). The terrestrial crab's longer duration of flicking seems to account for the increased odour capture in thick filaments, using the properties of both air and water. Increasing the duration of the marine crab's flick to match that of a terrestrial crab's flick eliminates the performance difference between the two morphologies, as can be shown by comparing each species in figure 5c,d. Marine crabs have a slight advantage in air over terrestrial crabs (Dair and Reair) when the flick duration is increased (increase of 60%) that is significant (figure 5c, dashed red line and figure 5d, solid red line; t = –7.74, adjusted p = 0.04).

4. Discussion

Both fluid-flow patterns and diffusion impact the ability of decapod antennules to capture odours from surrounding fluid. For these simulations, both marine and terrestrial crabs have Pe ≈ 1000 in water and Pe ≈ 0.1 in air (see tables 1 and 2 for Péclet number calculations). These indicate that each species, in addition to experiencing very different flows within their aesthetasc arrays, naturally inhabits a drastically different transport regime from the other.

Terrestrial hermit crabs have reduced aesthetasc array features and, as a result, lack the flow–no flow pattern demonstrated by marine crabs in water. These changes confer a performance benefit in transport regimes in which diffusion is dominant (Pe < 1). However, when operating in a transport regime where advection is important (Pe > 1) as in water, loss of the flow–no flow pattern has rendered terrestrial hermit crabs all but non-functional in water when compared with marine crabs. The flow patterning exhibited by marine crabs is so effective in water that it rivals the amount of odorant capture by terrestrial crabs in air, despite the diffusion coefficient of water being several orders of magnitude less than that of air.

Our results also suggest that there are heavy selective pressures that constrain the morphology and kinematics of the antennules of malacostracan crustaceans in water. Terrestrialization of coenobitid crabs (terrestrial hermit crabs in the genus Coenobita and the robber crab, Birgus latro) results in the loss of the flow–no flow pattern. This adaptation allows for superior odour-capture performance in air when compared with marine crabs but would result in a devastating drop in performance in water. Because the terrestrial crab's antennules exist in a diffusion-dominated transport regime and flow–no flow pattern is no longer necessary in air, the antennules may be reduced without a loss in performance. The longer duration flick in air is also advantageous, and we see that terrestrial crabs do, in fact, flick for longer times [26]. These differences are further augmented when the initial conditions of the odorant are reflective of odour distributions in air (e.g. thick filaments).

The life history of terrestrial hermit crabs also reflects these differences in performance. Hermit crab larvae initially live in the water column where they are dispersed by currents. At this stage, their antennule morphology mimics marine species [28,29]. As they develop, they settle near land and undergo metamorphosis [28,30]. During post-settlement metamorphosis, the juveniles emerge from the sea to live permanently on land and exhibit the adult antennule morphology [2931].

Additional pressures, such as evaporation, may also play a role in the morphology of the terrestrial hermit crab array. Ghiradella et al. [14] suggested that a reduction in the area of permeable cuticle in the aesthetasc array may limit water loss. The area of permeable cuticle would be lowered in the case of the shortened aesthetascs of the terrestrial hermit crab, giving an advantage to this reduced morphology in air. Their conjecture was further supported by other studies of coenobitid crabs [32,33]. Evaporative water loss in air may select for reduced arrays, whereas the need for a flow–no flow pattern in water may drive arrays towards a lengthened morphology.

These results have implications for other terrestrialization events in decapod crustaceans, the group which includes lobsters, crayfish, crabs and shrimp. For example, terrestrial species within the Brachyura (an infraorder of ‘true’ crabs that does not include hermit crabs) also exhibit changes in antennule morphology. The changes to antennules within the Brachyura are consistent with the reduced pressures of sniffing in water and include reduced aesthetasc length and number, lack of flicking and reduced brain area dedicated to aesthetasc-mediated olfaction [34]. It is unclear why the hermit crabs, a lineage of anomuran crabs, successfully adapted antennules for olfaction in air while no lineages within the Brachyura have done so. Similarly, most other terrestrialized lineages in the Malacostraca (the largest class of crustaceans) [35,36] have not adapted antennules for olfaction in air.

Zooming out from malacostracans, the transition of hexapods (the group containing insects) to land was followed by one of the largest radiations in the history of life. Chemosensory sensilla on the antennae of insects exhibit significant morphological diversity for capturing odours in air [37], and many features common to insect sensilla are also found convergently in coenobitids, such as housing basal bodies and cilia within a lymph space inside the flagellum and similar electroantennographic responses to airborne odours [32]. It is possible that the transition from a low Péclet number system, dominated by diffusive transport, removed the constraints associated with high Péclet number systems such as those associated with discrete odour sampling in marine crabs. This shift in the relative importance of advection and diffusion potentially allowed diverse sensory morphologies to develop in insects.

In addition to evolutionary insights, our results suggest that the open, hair-like design of crabs' chemosensory arrays is an effective strategy for chemical sensing in both water and air without the constraints of drawing fluid through an enclosed space such as mammalian sinuses. The hair-like aesthetascs of marine crabs capture a large fraction of odorant in air and water, but the performance of the array was highly sensitive to the arrangement, size and shape of the aesthetascs within its array as well as the kinematics with which the array was moved. Here we have shown that both sensitivity of the chemosensory structure and the kinematics of the array must be considered to create an effective biomimetic sensor.

Supplementary Material

Supplementary Information: Waldrop, Miller, and Khatri
rsif20160615supp1.pdf (221.1KB, pdf)

Acknowledgements

Special thanks to: Steven Piantadosi for comments on the manuscript; Karin Leiderman and Mimi Koehl for support on this project.

Competing interests

We declare we have no competing interests.

Funding

This work was supported by an NSF Research and Training grant DMS no. 0943851 (to R. McLaughlin, R. Camassa, L. Miller, G. Forest and P. Mucha), an NSF CAREER Award DMS no. 1151478 (to L.A.M.) and NSF PoLS no. 1504777 (to L.A.M.) and no. 1505061 (to S.K.).

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Supplementary Materials

Supplementary Information: Waldrop, Miller, and Khatri
rsif20160615supp1.pdf (221.1KB, pdf)

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