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Sep 12, 2012 - Silvia Daun-Gruhn. Emmy Noether Research Group of Computational Biology. Department of Animal Physiology,

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First posted online on 12 September 2012 as 10.1242/jeb.073643

J Exp Biol Advance Online Articles. First posted online on 12 September 2012 as doi:10.1242/jeb.073643 Access the most recent version at http://jeb.biologists.org/lookup/doi/10.1242/jeb.073643 Access the most recent version at http://jeb.biologists.org/lookup/doi/10.1242/jeb.073643

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Quadrupedal gaits in hexapod animals – Inter-leg coordination in free-walking adult stick insects

3 4Martyna Grabowska*, Elzbieta Godlewska*, Joachim Schmidt#, Silvia 5Daun-Gruhn# 6 7*authors contributed equally

The Journal of Experimental Biology – ACCEPTED AUTHOR MANUSCRIPT

8#shared senior authorship 9 10Martyna Grabowska 11Emmy Noether Research Group of Computational Biology 12Department of Animal Physiology, Institute of Zoology 13University of Cologne, Cologne, Germany 14

15Elzbieta Godlewska 16Emmy Noether Research Group of Computational Biology 17Department of Animal Physiology, Institute of Zoology 18University of Cologne, Cologne, Germany 19

20Joachim Schmidt 21Department of Animal Physiology, Institute of Zoology 22University of Cologne, Cologne, Germany 23

24Silvia Daun-Gruhn 25Emmy Noether Research Group of Computational Biology 26Department of Animal Physiology, Institute of Zoology 27University of Cologne, Cologne, Germany 28Email: [email protected] 29

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31locomotion, walking, gait, inter-leg coordination, stick insect 32 33 34 1

1 Copyright (C) 2012. Published by The Company of Biologists Ltd

35Abstract 36The analysis of inter-leg coordination in insect walking is generally a study of six-legged 37locomotion. For decades the stick insect Carausius morosus is instrumental for unraveling 38rules and mechanisms that control leg coordination in hexapeds. We analyzed inter-leg 39coordination in Carausius morosus that freely walked on straight paths on plane surfaces with 40different slopes. Consecutive 1.7 second sections were assigned inter-leg coordination

The Journal of Experimental Biology – ACCEPTED AUTHOR MANUSCRIPT

41patterns (which we call gaits) based on foot fall patterns. Regular gaits, i.e. wave, tetrapod or 42tripod gaits occurred in different proportions depending on surface slopes. Most often tetrapod 43gaits were observed, wave gaits only occurred on 90° inclining slopes and tripod gaits most 44often on 15° declining slopes, i.e. in 40% of the sections . Depending on slope 36% to 66% of 45the sections were assigned irregular gaits. Irregular gaits were mostly due to multiple stepping 46in front legs, which is perhaps probing behavior, not phase coupled to the middle legs’ cycles. 47In irregular gaits middle and hind leg coordination was regular, related to quadrupedal walk 48and wave gaits. Apparently front legs uncouple from and couple to the walking system 49without compromising middle and hind leg coordination. In font leg amputees, the remaining 50legs were strictly coordinated. In hind and middle leg amputees front legs continued multiple 51stepping. Middle leg amputees’ coordination was maladapted with front and hind legs 52performing multiple steps or ipsilateral legs being in simultaneous swing. Thus, afferent 53information from middle legs might be necessary for a regular hind leg stepping pattern. 54 55Introduction 56Naturally, the analysis of insect terrestrial locomotion is the analysis of hexapedal walking. 57Aside from some apparent specialists, e.g. praying mantis, mole cricket or locust, in insect 58imagines all three leg pairs mainly serve the purpose of walking. Consequently, descriptions 59of leg coordination during walking consider six legs. Just as legged animals in general, 2

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60hexapeds use different inter-leg coordination patterns during walking to meet different 61behavioral demands. 62Commonly, inter-leg coordination patterns are grouped into gaits. Insect gaits range from a 63tripod coordination in fast walkers to a metachronal or wave gait in slow walkers. Between 64these extremes intermediate gaits occur (Hughes, 1952; for reviews see Wilson, 1966; 65Graham, 1985; Delcomyn, 1981; Ritzmann and Büschges, 2007). In the tripod gait, “two

The Journal of Experimental Biology – ACCEPTED AUTHOR MANUSCRIPT

66mirror-image tripods step in an alternating pattern such that the animal always has at least 67three feet touching the ground” (Bender et al., 2011). Or, vice versa, in a tripod gait three legs 68swing together (Cruse et al., 2009). When insects walk slowly, a pattern is often observed, in 69which only one leg swings together with a leg located diagonally on the other side. Here, the 70term tetrapod gait is occasionally used and in this gait “at least four legs are at the ground at 71any moment of time” (Cruse et al., 2009). 72For insects, the concept of gaits is not without controversy (Cruse et al., 2009) because under 73certain conditions, gaits do not appear to be separable. Wendler (Wendler, 1964; Wendler, 741965) found a gliding coordination of leg movements in mounted adult stick insects, walking 75on a passive treadwheel. Coordination ranged from metachronal waves alternating between 76the left and right side at very low speeds of walking to a tripod coordination at high speeds (7 77cm/s). Dürr (Dürr, 2005) stated that “gaits may not be a helpful concept for describing leg 78coordination in all walking arthropods” because gaits in mounted stick insects that walk 79straight on a styrofoam sphere cannot be identified unequivocally due to considerable 80variation of stepping patterns over time. Of course, insect inter-leg coordination patterns 81depend on the behavioral context and environmental conditions such as surface structure, 82slopes, orientation of the body, or specifics of an experimental setup (e.g. Spirito and 83Mushrush, 1979; Delcomyn, 1981; Graham, 1985; Duch and Pflüger, 1995; Dürr, 2005; 84Gruhn et al., 2009; Bender et al., 2011). And thus, in contrast to walks on the sphere, Graham 85(Graham, 1972) reported that free walking adult stick insects (Carausius morosus) on a 3

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86horizontal surface almost exclusively use a “bi-quadruped” that is a tetrapod gait. These 87patterns appear to be regular. However, Graham mentions incidental occurrences of errors in 88the normal metachronal sequence, for example extra protractions of a front leg during 89walking. In sharp contrast to Graham is the notion by Cruse (Cruse, 1976) that stick insects 90(Carausius morosus) walking on a horizontal plane use their front legs mainly as sensors. 91However, this view of front leg function did not appear to have received further attention

The Journal of Experimental Biology – ACCEPTED AUTHOR MANUSCRIPT

92although it implies consequences for models of the control of hexapedal locomotion. We 93therefore attempt to deepen the insight into inter-leg coordination in adult untethered stick 94insects (Carausius morosus). Specifically, we wish to answer the following questions: Is the 95behavior of front legs in principle different from that of the other legs? Does front leg 96behavior change in dependence on the actual inter-leg coordination pattern and surface slope? 97If yes, what are the effects of amputations of a segment’s legs on the coordination patterns of 98remaining legs? 99We will show that in horizontal surface walking front legs often perform a multiple stepping 100or probing behavior that is independent of the adjacent legs’ walking cycles and that is not 101seen in the other legs. Inter-leg coordination patterns and the occurrence of multiple stepping 102depend on surface slopes. The regularity of middle and hind leg coordination is not 103compromised by front-leg multiple stepping or probing. Amputation of front or hind leg pairs 104has an impact on inter-leg coordination but not on the regularity of middle and hind leg 105coordination or multiple stepping behavior in front legs. In contrast, amputation of middle leg 106pairs severely hampers the formation of a functional walking pattern in front and hind legs. 107We conclude that front legs can be coupled to or decoupled from the locomotor system to 108generate multiple stepping or contribute to regular hexapedal walking. Furthermore, our data 109imply that middle leg stepping is a robust behavior that contributes to the coordination of hind 110leg stepping. The different functionality of legs and the resulting flexibility of the walking 111system need therefore to be considered in modeling studies of insect locomotion. 4

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112 113Materials and Methods 114Experiments were performed with adult female stick insects, Carausius morosus, from a 115colony maintained at the University of Cologne. Walking behavior of seven to nine animals 116was investigated under different walking conditions. Animals were filmed while walking on a 117plane black fabric surface (160x90 cm). A white 18 mm tape was attached along the mid-line

The Journal of Experimental Biology – ACCEPTED AUTHOR MANUSCRIPT

118of this arena and a white board with a black stripe was positioned at the end of the arena to 119give animals orientation for straight walks. In addition, the white stripe served as a reference 120to determine walking direction. Only straight walks were used for evaluation. Animals that 121did not start walking voluntarily were briefly touched at the abdomen to trigger walking. To 122avoid the potential effect of the touch on the walking pattern, the first 4 steps of those walking 123sequences were excluded from the analysis. To obtain a 15° or 90° slope the arena was 124elevated at one side. 125Stick insects were filmed from above with an AVT Pike Camera (Allied Vision Technologies) 126with 60 frames per second (fps). The camera was mounted on a jointed articulating boom 127stand that allowed to follow the moving insect continuously. The setup was illuminated by a 128halogen lamp. The camera was controlled by the AVT-Active-Cam-Viewer (Allied Vision 129Technologies; configurations: 640x480, monochrome, 8-bit; brightness: 36; shutter: 250; 130sharpness: 2, digital zoom: 1000; 60 fps). For recording, the lens was set to 8 mm and the 131aperture to f-number 5.6. Videos were analyzed frame by frame using AVI edit (AM 132Software). 133Identification of coordination patterns 134To identify coordination patterns or gaits, foothold pattern diagrams (e.g. Fig. 1) were 135constructed in Excel (Microsoft Office 2007) by identification of the posterior extreme 136position (PEP, lift-off) and the anterior extreme position (AEP, touch-down). Black bars 137indicate swing phase of a leg. Frame by frame analysis accounts for an error of ±1 frame (that 5

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138is 16.6 ms) when determining PEP and AEP. Sequences of continuous walking were 139segmented into sections of 100 frames (1.7 s) to determine a gait for each section. An 140alternative approach in which 100 frames sections were moved step by step yielded no 141different results and was not applied. We continued with the segmentation of sections of 100 142frames. A sequence contained a mean of seven sections. Depending on walking speed each 143section contained two to five steps of each leg.

The Journal of Experimental Biology – ACCEPTED AUTHOR MANUSCRIPT

144A gait could be assigned to each section of 100 frames. To determine gaits, phase 145relationships have been calculated as the onset of swing with respect to the stepping period of 146the right middle leg (R2) or right hind leg (R3) in the case of amputated middle legs. Figure 1 147shows idealized step patterns (see also Wilson 1966) for a tripod gait in which three legs 148swing in synchrony (A) and two types of tetrapod gaits – that are mirror images of one 149another – in which two diagonal legs swing in synchrony (B, C). These ideal patterns result in 150phase relationships of leg movements as given in Table 1. In our experiments, however, we 151never observed perfectly synchronous swing movements in either gait. Therefore, we tolerate 152a deviation from ideal phase relationships during swing by ± 0.12. When assigning a gait, we 153allowed one erroneous step of a single leg per section. 154In some experiments, a pair of front, middle or hind legs was amputated at the coxa155trochanteral joint. To quantify the resulting quadrupedal gaits in front or hind leg amputees, 156phase relationships of remaining legs were calculated with respect to the stepping period of 157the right middle leg (R2). In middle leg amputees, the right hind leg (R3) was taken as 158reference. Four different quadrupedal gaits were observed: In trot gait, always two diagonal 159leg pairs swing together (Fig 2A). In the two walk gaits, synchronous swing of a diagonal pair 160is followed by two single leg swing phases (see Fig. 2B, C for walk (1) and walk (2), 161respectively) or in wave gait, only a single leg swings (Fig. 2D). 162Not always could a gait be assigned to a section. These cases were due to irregularities, like a 163gait transition or multiple steps of legs, for example, “probing” of front legs. A section with 6

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164such irregularities was classified as irregular gait (see Fig. 3C and Fig. 5A for a typical 165example). To determine the frequency of occurrence of gaits and corresponding phase 166relationships, data from different animals were pooled. Before pooling, data were weighted 167according to the number of walking sequences that have been performed by each animal. 168Walking speed 169Walking speeds of intact and amputated animals were evaluated for sections with

The Journal of Experimental Biology – ACCEPTED AUTHOR MANUSCRIPT

170StickTracker, a customized Matlab program (The MathWorks, Inc, Natick, USA) by Dr. Till 171Bockemühl. StickTracker calculates velocity by frame to frame movements of the point 172defined by the intersection of the lateral axis through both hind leg coxae and the longitudinal 173axis in relation to ground markers. 174Statistics 175Circular statistics was performed using the circular statistics toolbox for Matlab (The 176MathWorks, Inc, Natick, USA; P. Berens, 2009). The Rayleigh test (Bratschelet, 1981) was 177used to test whether phases were randomly distributed or whether a predominant 178directionality is present. The Watson-Williams F-test (Bratschelet, 1981) was used to test for 179differences in length of the mean resulting phase vectors. The length of the mean resulting 180vector is a crucial quantity for the measurement of circular spread. The closer it is to one, the 181more concentrated the data sample is around the mean direction. This test was performed 182using ORIANA 4 (Kovach Computing Services, Anglesey, Wales). For the statistical 183evaluation of the phases, all steps within a sequence were taken into account. To test, whether 184the multiple steps of the front legs were randomly distributed in phase with respect to the 185stepping period of R2 only the sections in which multiple stepping occurred were considered. 186Differences between mean numbers of steps performed across all animals for different legs in 187different walking situations were tested in Matlab using a one-tail ANOVA (see Figs. 4E, 7B, 1888B and 9B).

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189The occurrences of different gaits in different walking situations were compared and tested 190for significant differences using the Wilcoxon rank sum test in Matlab (see Fig. 4A-D, pooled 191weighted data). In the experiments with amputated animals we put all regular gaits together 192(trot, walk (1), walk (2) and wave) and compared their occurrence with the one of irregular 193gaits (7A, 8B and 9B). The Wilcoxon rank sum test in Matlab was also used to determine 194differences in walking speed between groups.

The Journal of Experimental Biology – ACCEPTED AUTHOR MANUSCRIPT

195 196Results 197Hexapedal walking 198Stick insects (Carausius morosus) that walk a straight path on a horizontal surface adopt a 199tetrapod gait in 43.7% of 32 sections from 9 animals. A typical example of a tetrapod gait 200section is shown in Fig. 3A. Generally, both mirror image tetrapod gaits were used by the 201animals (see Material and Methods, Fig. 1B, C, for details). Significantly less often (16.6%) 202animals adopted the tripod gait (Fig. 3B). Occasionally an animal switched gaits within a 203walking sequence. 204The occurrence of regular gaits was reduced in upward slope walking. On a 15° upward slope, 205tetrapod gait was adopted in 32.1% (N=8, n=36), and tripod gait in 8.7% of all sections. On a 20690° upward slope, tetrapod gait was adopted in 28.1% (N=7, n=21), and tripod gait in 5.7% of 207the sections. Only on the 90° slope, animals occasionally used the wave gait (9% of sections). 208In all of these three walking situations a tetrapod gait was adopted significantly more often 209than a tripod gait. In contrast to this, in downward slope walking the relative amount of tripod 210gait sections increased as tetrapod gaits were observed in 23.9% and tripod gaits in 40.3% of 211sections (N=7, n=36; differences between occurrences of gaits were not significant, p>0.05). 212Besides the regular tetrapod and tripod gaits, we frequently observed irregular non-stereotypic 213walking patterns in all four walking conditions (example foot fall patterns are shown in Figs.

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2143C, 5A). These irregular walking patterns, or irregular gaits, occurred even though we allowed 215a certain variability when assigning a tetrapod or tripod gait to a section (see Material and 216Methods for details). Irregular gaits occurred in 39.7% of sections recorded on the horizontal 217surface, and in 35.8% in walks on the 15° downward slope. They occurred more often in 218upward slope walking, that is in 56.4% and 66.3% of the cases on 15° and 90° slopes, 219respectively. Data are summarized in Fig. 4 (A-D; gray bars). Closer inspection of irregular

The Journal of Experimental Biology – ACCEPTED AUTHOR MANUSCRIPT

220gait sections revealed that, on a horizontal surface, numbers of steps, that is swing movements 221performed by front legs (R1, n=200; L1, n=253), were significantly higher (p0.05). Similarly, in 224slope walking, front legs performed significantly more steps than middle or hind legs 225(p

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