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First published online June 13, 2008
Journal of Experimental Biology 211, 2071-2078 (2008)
Published by The Company of Biologists 2008
doi: 10.1242/jeb.018390
Modulation, individual variation and the role of lingual sensory afferents in the control of prey transport in the lizard Pogona vitticeps
1 Department of Biology, University of Antwerp, Universiteitsplein 1, B-2610
Antwerpen, Belgium
2 Department of Organismic and Evolutionary Biology, Harvard University,
Cambridge, MA 02138, USA
3 Department of Biology and Organismic Evolutionary Biology Program, 221 Morrill
Science Center, University of Massachusetts at Amherst, Amherst, MA 01003,
USA
* Author for correspondence (e-mail: vicky.schaerlaeken{at}ua.ac.be)
Accepted 9 April 2008
| Summary |
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| INTRODUCTION |
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Most organisms feed on a variety of food items differing in their
mechanical properties (e.g. mobility, mass, texture, etc.). Thus, the ability
to modulate prey transport and prey reduction behaviour in response to the
characteristics of a food item appears to be crucial. Mammals and birds,
because of their elevated metabolic rates associated with endothermy, need to
ingest more food than other vertebrates
(Bennett and Ruben, 1979
). In
mammals, this is often thought to go hand-in-hand with a more efficient
intraoral processing and more profound modulation of mastication to maximise
energy gain and prevent damage to the teeth (e.g.
Thexton and Hiiemae, 1997
).
Therefore, masticatory movements must be adjusted to the natural variation in
material properties of the food, between and within feeding sequences and
transport cycles (Ross et al.,
2007
). In contrast to what is often thought, most lizards also
extensively reduce food items prior to swallowing. Moreover, like mammals,
lizards modulate their feeding cycles in response to the mechanical properties
of the food (e.g. Wainwright et al.,
1991
; Smith et al.,
1999
; Urbani and Bels,
1999
).
Sources of sensory information that can be used to modulate a prey capture
event are numerous (e.g. visual, chemosensory and tactile). However, during
prey transport, tactile and chemosensory stimuli likely play the most
important role in modulating intraoral transport as the tongue makes intimate
contact with the food item and, in that way, may gather important sensory
information about the food item. Which aspects of a food item specifically
affect the coordination between jaws and tongue remains currently unclear, but
size, mass, shape and mechanical resistance likely play an important role
(e.g. Bels and Baltus, 1988
;
Herrel et al., 1996
;
Herrel and De Vree, 1999
;
Schwenk, 2000
). Based on a
priori mechanical reasoning we predict that (1) prey transport of hard
and tough food items will take longer because of an increase in the slow
closing phase where the teeth engage the food; (2) that large food items will
be associated with larger gape distances to allow the passage of the tongue
with adhering food; (3) that the transport of heavier food items will be
associated with an increased slow opening phase and total cycle duration as
the larger adhesive forces needed to transport heavy food items are
proportional to the contact area between tongue and food items achieved during
the slow opening phase; and (4) that the transport of elusive food items would
be associated with a decrease in the duration of the fast opening and/or fast
closing phases and an increase in the jaw velocity, as these are the phases
during which the teeth are not engaged with the food. Here we investigated the
extent to which a generalized agamid lizard, Pogona vitticeps, is
capable of modulating prey transport kinematics in response to different food
types. To do so, we offered food types differing in their physical
characteristics including size, hardness, mass and mobility. The food types
used were chosen to reflect the natural diet of P. vitticeps
(Kennerson and Cochrane, 1981
;
MacMillen et al., 1989
).
As the control of feeding cycles and the sources of sensory information
used to modulate prey transport remain poorly understood, we decided to
investigate the role of lingual sensory feedback in the modulation of
transport cycles. To do so, we used nerve transection experiments (e.g.
Anderson and Nishikawa, 1993
;
Deban, 1997
). We decided to
focus on the sensory branch of the mandibular ramus of the trigeminal nerve as
this branch innervates the anterior half of the tongue that comes into close
contact with the food during prey capture and transport. Its superficial
position and ease of access makes it an ideal candidate for nerve transection
experiments. If no changes in the kinematics of prey transport are observed
after transection, then this branch of the trigeminal nerve can be excluded as
a source of sensory information during prey transport (e.g.
Deban, 1997
;
Nishikawa, 2000
). This would
suggest that other sources of sensory information or other lingual sensory
afferents (e.g. glossopharyngeal) are dominant during prey transport. In case
transection effects are significant, this would suggest that the trigeminal
nerve plays an important role in coordinating prey transport in P.
vitticeps. If so, we predict an increase in the duration of prey
transport cycles (see Herrel et al.,
2001
) and an increase in the duration of the slow opening and slow
closing phases as the animals are lacking information to appropriately control
their feeding movements to the characteristics of the food item.
| MATERIALS AND METHODS |
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Video recordings
The lizards were filmed at 250 Hz in lateral view using a Redlake
Motionscope digital high-speed camera while eating food types differing in
their physical attributes [isopods (Porcellus scaber), crickets
(Acheta domestica), ants and small pieces of endive]. A quantitative
assessment of food properties is represented in
Table 1
(Schaerlaeken et al., 2007
). A
background grid of 10 mm squares was used as a scale. At least three sequences
were recorded for each individual transporting each of the four food items
before and after transection. From each sequence, five transport cycles were
analysed. Only sequences where the animal was positioned lateral with respect
to the camera were retained for analysis. A total of 190 cycles before and 135
cycles after transection were included in the analysis.
|
Nerve transections
To test whether lingual sensory information plays a role in coordinating
jaw and tongue movements the lingual ramus of the mandibular branch of the
trigeminal nerve was bilaterally transected in three individuals
(Herrel et al., 2001
;
Meyers et al., 2002
). Before
transection, the animals were anaesthetised using ketamine (200 mg
kg–1 body mass; ketamine hydrochloride, 50 mg
ml–1, Parke-Davis, Brussels, Belgium). The animals were
filmed eating all four food types (ants, crickets, isopods and endive) before
and after bilateral transection. A full description of the procedure can be
found in Schaerlaeken et al. (Schaerlaeken
et al., 2007
). All post-surgery recordings were completed within 2
weeks because re-innervation can occur within 4 weeks after transection
(Meyers and Nishikawa, 2000
).
All procedures were approved by the animal ethics committee at the University
of Antwerp.
Video analysis
Only transport sequences in which the animals remained lateral with respect
to the camera and in which all phases of a prey transport event (slow opening,
SO; fast opening, FO; fast closing, FC; slow closing/power stroke, SC/PS) were
present, were analysed. Two externally visible landmarks were digitised on
each frame using Didge (Image Digitizing Software version 2.2.0; Alistair
Cullum, Creighton University, Omaha). These landmarks included the anterior
tip of the upper jaw and the anterior tip of the lower jaw. From the
x and y coordinates of these markers we calculated the
distance between upper and lower jaw (gape distance). Based on the raw
kinematic profiles of jaw movement, the total duration of a transport cycle
was determined.
Next, the raw displacement profiles of the jaws were smoothed using a zero
phase shift, fourth-order low pass Butterworth filter at 25 Hz. Velocities and
accelerations were calculated from the filtered displacement data by taking
the first and second derivatives. From these data the maximal jaw opening and
jaw closing velocity were calculated. The different phases within a transport
cycle were determined based on the jaw acceleration data as outlined in
Schaerlaeken et al. (Schaerlaeken et al.,
2007
). In brief, the duration of the slow open phase (SO) was
defined as the time between the beginning of the prey transport event and the
first pronounced acceleration peak during jaw opening; the fast open phase
(FO) was defined as the time between the first acceleration and the
deceleration peak; the fast close phase (FC) was defined as the time between
the peak deceleration and peak acceleration during jaw closing and the slow
close phase (SC) was defined as the time from the peak acceleration during
closing until the end of the transport cycle (see also
McBrayer and Reilly,
2002
).
In total, eight kinematic variables were calculated and used in the statistical analyses: gape distance, maximal jaw opening velocity, maximal jaw closing velocity, the total duration of a prey transport event and the duration of SO, FO, FC and SC/PS.
Statistical analyses
All kinematic data were log10 transformed prior to analyses to
meet the assumption of homoscedascity and normality for regression analyses
(Sokal and Rohlf, 1981
;
Kachigan, 1991
). To reduce the
complexity and dimensionality of the data set, we performed a factor analysis
with Varimax rotation on the kinematic data set before transection. The
Varimax rotation was used as it maximises the sum of the variances of the
loadings on the factors. Next, a MANOVA was performed on the factor scores to
test for potential individual, food type and interaction effects. Since the
interaction effect was highly significant, food type effects were further
analysed for each individual separately using univariate F-tests
coupled to Bonferroni post-hoc tests on the significant factor
scores. For all univariate F-tests performed, the significance level
was corrected using a sequential Bonferroni correction
(Rice, 1989
).
Kinematic data from both before and after transection were used to test whether the transection of sensory afferents had an effect on the kinematics of prey transport. Again a factor analysis coupled to a Varimax rotation was performed on the full kinematic data set for individuals 6, 9 and 10. A MANOVA was performed on the factor scores to test for individual, food type, transection and interaction effects. As interaction effects between individual and transection, between food type and transection and between individual and food type were significant, transection effects were tested for each individual and each food type separately. All analyses were performed using SPSS 13.0.
| RESULTS |
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Modulation of the feeding cycle – food type effects
A factor analysis performed on the kinematic data set revealed four factors
that together explained 91.43% of the variation in prey transport kinematics
(see Table 2). For factor 1,
the total duration of a prey transport event and the duration of the SC phase
showed the highest loadings. Gape distance, jaw opening velocity and jaw
closing velocity loaded most strongly on factor 2. For factor 3, the duration
of the FO phase showed the highest loading, and for factor 4 the duration of
the FC phase (see Table 2).
|
A MANOVA was performed on the factor scores that demonstrated significant food type (Wilks' lambda, F=41.645, P<0.001) and individual effects (Wilks' lambda, F=12.762, P<0.001) on the kinematics of prey transport. Thus, the kinematics of prey transport are different for different food types (Fig. 1), and individuals differ from each other in their prey transport kinematics. Interaction effects were also significant (Wilks' lambda, F=1.848, P=0.003) suggesting that individuals respond differently to different food types (Fig. 2).
|
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Owing to the significance of the interactions effects, food type effects were analysed for each individual separately. Table 3 summarizes the results of the post-hoc tests on the significant factors. For individuals 6 and 7, food type effects were significant on factor 1 (Wilks' lambda, F=56.179, P<0.001 and Wilks' lambda, F=23.950, P<0.001), factor 2 (Wilks' lambda, F=30.324, P<0.001 and Wilks' lambda, F=6.231, P=0.001) and factor 4 (Wilks' lambda, F=5.196, P=0.010 and Wilks' lambda, F=5.298, P=0.003). For individuals 9 and 10, food type effects were significant on factor 1 (Wilks' lambda, F=39.661, P<0.001 and Wilks' lambda, F=35.136, P<0.001), factor 2 (Wilks' lambda, F=3.173, P=0.032 and Wilks' lambda, F=9.498, P<0.001) and factor 3 (Wilks' lambda, F=2.851, P=0.046 and Wilks' lambda, F=3.533, P=0.020). In general, differences between food types on factor 1 are mainly between ants and the other food types (crickets, endive and isopods) suggesting that transport of ants is associated with shorter total transport cycle durations and shorter SC phases (see Fig. 1). For factor 2, differences between isopods and the other food types, between endive and crickets, and also between crickets and ants, were significant. Thus, transport of crickets is associated with high gape distances compared to the other food items and transport of isopods is associated with higher gape distances than ants and endive (see Fig. 1). Differences between isopods on the one hand and crickets and endive on the other hand were significant on factor 3, and suggest that transport of isopods is associated with longer FO phases compared with the transport of crickets and endive. Finally, for factor 4, differences between isopods and ants and also between crickets on the one hand and isopods and ants on the other hand, were significant. Thus, transport of ants is associated with shorter FC phases than that of isopods and crickets, and the transport of isopods is associated with shorter FC phases than that of crickets (see Table 6 for averages of raw data).
|
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A MANOVA performed on the factor scores demonstrated significant individual (Wilks' lambda, F=7.284, P<0.001), food type (Wilks' lambda, F=41.856, P<0.001) and transection (Wilks' lambda, F=49.975, P<0.001) effects. Additionally, the interaction between individual and food type (Wilks' lambda, F=1.80, P=0.02), between individual and transection (Wilks' lambda, F=3.93, P=0.001) and between food type and transection (Wilks' lambda, F=6.80, P<0.001) were significant but the three-way interaction was not significant (Wilks' lambda, F=1.26, P=0.241). As suggested by the significant interaction effects, the effect of transection was not identical for all the individuals and all food types.
As interaction effects were significant, further analyses of transection effects were performed for each individual and each food type separately (see Table 5). Differences on factor 1 (correlating strongly with the total duration of a prey transport event and the duration of the SC phase) remained significant in most cases while transporting crickets, ants and endive. The total duration of a prey transport event and of the slow closing phase was thus longer after transection than before transection (see Fig. 4). In individuals 6 and 9, differences on factor 2 were significant for transport of crickets and isopods. Maximal gape distance (correlating highly with factor 2) during transport of crickets after transection was lower in individual 6, whereas transport of isopods in individual 9 had higher maximal gape distances after transection. Finally, in individual 10, transport of crickets and endive had shorter FO phases after transection then before transection (see Table 6 for averages of raw data).
|
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| DISCUSSION |
|---|
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|
|---|
Food items offered to the lizards were chosen specifically for their
differences in physical attributes including size and mass (e.g. ant
vs cricket), mobility (arthropods vs endive) and mechanical
resistance (i.e. hardness; arthropods vs endive). Based on a
priori mechanical reasoning we expected that prey transport cycles of
hard and tough food items would be associated with longer cycle durations due
to an increase in the slow closing (SC) phase, where the teeth engage the
food. Interestingly, our data indicate that the intraoral transport cycles of
ants are associated with shorter total transport cycle durations and shorter
SC phases in all individuals. Although, ants are hard food items, they are
minimally or not reduced after capture in most lizards
(Meyers and Herrel, 2005
).
Consequently, a pronounced SC phase is not observed. Crickets and especially
endive are associated with longer SC phases as predicted, suggesting the need
for a more extensive reduction of these relatively tough food items.
Another prediction was that large food items would be associated with
larger gape distances to allow the passage of the tongue with adhering food.
This has already been observed for Agama stellio
(Herrel et al., 1996
).
Differences in maximal gape distance during prey transport were observed here
for the transport of crickets vs ants, isopods and endive, as well as
for the transport of isopods vs ants and endive. As crickets are
larger than any of the other food types offered, the jaws do indeed have to be
opened more widely to allow the transport of the food through the oral cavity.
The same explanation can be given for the higher maximal gape distances during
transport of isopods vs ants and endive.
We also suggested that the transport of heavier food items would be associated with an increased slow opening (SO) phase and total cycle duration due to the required pronounced fitting of the tongue to the food item. This was, however, not observed in our study. Although, we found that transport of crickets and endive was associated with longer total transport durations compared with the other food items (see above), the duration of the SO phase was not longer. Thus it appears that size and hardness are more important during prey transport than mass per se.
The last hypothesis, that transport of elusive food items would be associated with a decrease in the duration of the fast opening (FO) and/or closing (FC) phases and an increase in the jaw velocity was not confirmed by our data. We expected that the transport of crickets, which are more elusive than other food items, would be associated with shorter fast opening and/or closing phases and would result in an increase jaw velocity during transport. However, in individual 6 the transport of isopods was associated with shorter FC phases than crickets. In individual 7, significant differences in the duration of FC phase of ant transport compared to crickets and isopods were observed. In individuals 9 and 10, finally, significant differences in the duration of the fast opening phase between crickets and isopods (ind. 9) and between endive and isopods (ind. 10) were observed, with the duration of the FO phase being longer for the transport of isopods than for crickets and endive. As food items co-vary in multiple characteristics, this result cannot be readily explained. A more detailed study where physical properties (e.g. size, hardness, mobility, etc.) are controlled one by one would be needed to tease apart the differential effects of size, hardness and evasiveness.
Besides the specific modulation of prey transport kinematics in all individuals, a remarkable feature of the results of our analyses is the significant food type by individual effect, suggesting that each individual responds differently to different food types. This may suggest that different feedback pathways or sensory modalities are used for the modulation of the prey transport event. Our data from the nerve transection experiments appear to corroborate this.
The role of lingual sensory feedback
Our data suggest that elimination of lingual sensory feedback in P.
vitticeps affects prey transport kinematics. Remarkably, each individual
responded differently to the transection of the trigeminal nerve, indeed
suggesting that different feedback pathways or sensory modalities may be more
important during prey transport in certain individuals than in others. In
agamid lizards two potential lingual feedback pathways exist, one by means of
the lingual ramus of the mandibular branch of the trigeminal nerve and one by
means of the glossopharyngeal nerve. We decided to focus on the sensory branch
of the mandibular ramus of the trigeminal nerve as this branch innervates the
anterior half of the tongue that comes into close contact with the food item
during prey capture and transport.
The most striking differences we found after transection were an increase
of total transport cycle duration, an increase of the duration of the slow
closing phase, differences in maximal gape distance during transport of
crickets and isopods and a decrease of the durations of fast opening phases
during transport of crickets and endive. Changes in durations of total
transport cycles, durations of the different phases and gape distances were
predicted as the animals are apparently lacking the necessary information
about their food item to appropriately control the movements of jaws and
tongue. Moreover, significant food type by transection effects strongly
suggest that in addition to sensory information about the food item fed back
by the trigeminal nerve, other cues (e.g. glossopharyngeal nerve) play an
important role in modulating prey transport kinematics. In most amphibians and
reptiles investigated to date, this seems to be the case (e.g.
Anderson, 1993
;
Anderson and Nishikawa, 1993
;
Anderson and Nishikawa, 1996
;
Deban, 1997
;
Valdez and Nishikawa, 1997
;
Deban and Dicke, 1999
;
Deban and Dicke, 2004
;
Schaerlaeken et al., 2007
)
(but see O'Reilly, 2000
).
In summary, our data suggest that agamid lizards are capable of modulating their prey transport kinematics in response to different food types with different food type characteristics. This allows the animals to utilize a broad variety in food resources. Remarkably, the specifics of modulation were different for each individual, suggesting that different individuals may rely on different sensory modalities to a different degree. Additionally, lingual sensory feedback by means of the trigeminal nerve is probably important during prey transport but this sensory afferent is clearly not the only source of information used to modulate prey transport, as animals still responded differently to different food items after transection. Further experiments controlling single food item properties at a time and including dual transection of the trigeminal and glossopharyngeal nerve are needed to better understand the modulation of feeding kinematics in lizards.
| Acknowledgments |
|---|
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