Abstract
Rhythmically active motor circuits can generate different activity patterns in response to different inputs. In most systems, however, it is not known whether the same neurons generate the underlying rhythm for each different pattern. Thus far, information regarding the degree of conservation of rhythm generator neurons is limited to a few pacemaker-driven circuits, in most of which the core rhythm generator is unchanged across different output patterns. We are addressing this issue in the network-driven, gastric mill (chewing) circuit in the crab stomatogastric nervous system. We first establish that distinct gastric mill motor patterns are triggered by separate stimulation of two extrinsic input pathways, the ventral cardiac neurons (VCNs) and postoesophageal commissure (POC) neurons. A prominent feature that distinguishes these gastric mill motor patterns is the LG (lateral gastric) protractor motor neuron activity pattern, which is tonic during the VCN rhythm and exhibits fast rhythmic bursting during the POC rhythm. These two motor patterns also differed in their cycle period and some motor neuron phase relationships, duty cycles, and burst durations. Despite the POC and VCN motor patterns being distinct, rhythm generation during each motor pattern required the activity of the same two, reciprocally inhibitory gastric mill neurons [LG, Int1 (interneuron 1)]. Specifically, reversibly hyperpolarizing LG or Int1, but no other gastric mill neuron, delayed the start of the next gastric mill cycle until after the imposed hyperpolarization. Thus, the same circuit neurons can comprise the core rhythm generator during different versions of a network-driven rhythmic motor pattern.
Introduction
Rhythm generation is a key feature of many neuronal networks, including central pattern generators (CPGs) (Marder and Calabrese, 1996; Huguenard and McCormick, 2007; Mann and Paulsen, 2007; Welsh et al., 2010). Individual CPGs can generate different activity patterns when influenced by distinct inputs (Marder et al., 2005; Briggman and Kristan, 2008; Doi and Ramirez, 2008; Rauscent et al., 2009; Klein et al., 2010). The different motor patterns generated by a CPG involve changes in the relative timing, firing rate, burst duration, and/or burst pattern of one, some, or all of the associated motor neurons (Marder and Calabrese, 1996; Marder and Bucher, 2001; Buschges et al., 2008; Friedman et al., 2009; Rosenbaum et al., 2010). These different patterns underlie different variants of a behavior (e.g., different chewing patterns) or distinct behaviors (e.g., ingestion vs egestion).
The different patterns generated by a network often result, at least partly, from activating overlapping but distinct sets of network neurons (Jing and Weiss, 2002; Popescu and Frost, 2002; Proekt et al., 2007; Briggman and Kristan, 2008; Berkowitz et al., 2010; Weaver et al., 2010), although the same network neurons can also generate distinct patterns (Marder and Bucher, 2007). For some CPGs, some or all of the core rhythm-generating neurons for a particular motor pattern are identified (Selverston and Miller, 1980; Hooper and Marder, 1987; Masino and Calabrese, 2002; Cangiano and Grillner, 2003, 2005; Saideman et al., 2007; Li et al., 2010). Less is known regarding whether the different motor patterns generated by any single network are driven by the same rhythm-generating neurons. Thus far, this latter issue has been addressed primarily in CPGs driven by endogenously oscillatory neurons (pacemaker-driven CPGs). Work from these circuits provides contradictory examples, including preservation of the rhythm generator neurons across distinct motor patterns (Marder and Bucher, 2007; Weaver et al., 2010) and an apparent switch in the rhythm generator neurons (Peña et al., 2004). The flexibility of rhythm generator neurons in CPGs with no endogenously oscillatory neurons (network-driven CPGs) remains unexplored.
Here we assess the degree of preservation of the rhythm generator underlying different motor patterns generated by the network-driven gastric mill (chewing) circuit in the isolated crab stomatogastric nervous system (STNS). Qualitatively distinct gastric mill patterns are triggered by the ventral cardiac neurons (VCNs) and postoesophageal commissure (POC) neurons (Beenhakker et al., 2004; Blitz et al., 2008).
We first establish that the VCN- and POC-gastric mill motor patterns are quantitatively distinct in their cycle period, phase durations, protractor LG (lateral gastric) neuron burst pattern, and the burst parameters of several other motor neurons. We then show that these differences result partly from the distinct influence of the pyloric rhythm on these two gastric mill rhythms. Last, we determine that, among the eight types of gastric mill neurons, only the reciprocally inhibitory LG and Int1 (interneuron 1) are necessary for gastric mill rhythm generation after VCN or POC stimulation. These results illustrate that the same core rhythm generator can pace different motor patterns generated by a network-driven motor circuit.
Materials and Methods
Animals.
Male Jonah crabs (Cancer borealis) were obtained from commercial suppliers (Yankee Lobster; Marine Biological Laboratory) and maintained in aerated, filtered artificial seawater at 10–12°C. Animals were cold anesthetized by packing in ice for at least 30 min before dissection. The foregut was then removed from the animal, after which the STNS was dissected from the foregut in physiological saline at ∼4°C.
Solutions.
C. borealis physiological saline contained the following (in mm): 440 NaCl, 26 MgCl2, 13 CaCl2, 11 KCl, 10 Trisma base, 5 maleic acid, and 5 glucose, pH 7.4–7.6. All preparations were superfused continuously with C. borealis saline (8–12°C).
Electrophysiology.
Electrophysiology experiments were performed using standard techniques for this system (Beenhakker and Nusbaum, 2004). The isolated STNS (Fig. 1A) was pinned down in a silicone elastomer-lined (Sylgard 184; KR Anderson) Petri dish. Each extracellular nerve recording was made using a pair of stainless steel wire electrodes (reference and recording) whose ends were pressed into the Sylgard-coated dish. A differential AC amplifier (model 1700; A-M Systems) amplified the voltage difference between the reference wire, placed in the bath, and the recording wire, placed near an individual nerve and isolated from the bath by petroleum jelly (Vaseline; Lab Safety Supply). This signal was then further amplified and filtered (model 410 amplifier; Brownlee Precision). Extracellular nerve stimulation was accomplished by placing the pair of wires used to record nerve activity into a stimulus isolation unit (SIU 5; Astro-Med/Grass Instruments) that was connected to a stimulator (model S88; Astro-Med/Grass Instruments).
Stimulation of the POC neurons was performed via extracellular stimulation of the postoesophageal commissure (poc) (Fig. 1), using a tonic stimulation pattern (duration, 15–30 s; intraburst frequency, 15–30 Hz) (Blitz et al., 2008). In all experiments, the poc was bisected, and each half was surrounded by a petroleum jelly well to stimulate them separately. However, the left and right pocs were stimulated simultaneously in all experiments. The VCNs were activated by stimulating one or both of the dorsal posterior oesophageal nerves (dpons) (Fig. 1) in a rhythmic pattern (interburst frequency, 0.06 Hz; burst duration, 6 s; intraburst frequency, 15 Hz) (Beenhakker et al., 2004). However, the same gastric mill motor pattern (e.g., cycle period, LG duty cycle) is triggered when the VCNs are stimulated in (1) the aforementioned rhythmic pattern, (2) a faster, pyloric rhythm-like pattern, or (3) a tonic pattern (Beenhakker et al., 2004).
Intrasomatic recordings were made with sharp glass microelectrodes (15–30 MΩ) filled with 0.6 m K2SO4 plus 10 mm KCl. Intracellular signals were amplified using Axoclamp 2B amplifiers (Molecular Devices) and then further amplified and filtered (Brownlee model 410 amplifier). Current injections were performed in single-electrode discontinuous current-clamp mode with sampling rates between 2 and 3 kHz. To facilitate intracellular recording, the desheathed ganglia were viewed with light transmitted through a dark-field condenser (Nikon). Stomatogastric ganglion (STG) neurons were identified on the basis of their axonal projections, activity patterns, and interactions with other STG neurons (Weimann et al., 1991; Blitz et al., 2008).
Data analysis.
Data were collected in parallel onto a chart recorder (Astro-Med Everest) and computer. Acquisition onto computer (sampling rate, ∼5 kHz) used the Spike2 data acquisition and analysis system (Cambridge Electronic Design). Some analyses, including cycle period, burst durations, duty cycle, number of action potentials per burst, interspike interval durations, intraburst firing frequency and phase relationships were conducted on the digitized data using a custom-written Spike2 program (The Crab Analyzer: freely available at http://www.uni-ulm.de/∼wstein/spike2/index.html).
Unless otherwise stated, each data point in a dataset was derived by determining the mean for the analyzed parameter from 10 consecutive gastric mill cycles. One gastric mill cycle was defined as extending from the onset of consecutive LG neuron action potential bursts (Beenhakker and Nusbaum, 2004; Wood et al., 2004). Thus, the gastric mill cycle period was measured as the duration (seconds) between the onset of two successive LG neuron bursts. The protractor phase was measured as the LG burst duration, whereas the retractor phase was measured as the LG interburst duration. A gastric mill rhythm-timed burst duration was defined as the duration (seconds) between the onset of the first and last action potential within an impulse burst, during which no interspike interval was longer than 2 s (approximately twice the pyloric cycle period during the gastric mill rhythm and no more than half the duration of each gastric mill phase) (Beenhakker et al., 2004). The intraburst firing rate of a neuron was defined as the number of action potentials minus one, divided by the burst duration. The instantaneous spike frequency was defined as the inverse of each successive interspike interval within a burst. Duty cycle, defined as the fraction of a gastric mill cycle during which a particular neuron fired its burst, was determined by dividing each burst duration by the cycle period during which that burst occurred. The burst relationship among gastric mill neurons was expressed in terms of phase. Phase relationships were determined by measuring the phase of burst onset and offset for each gastric mill neuron relative to the gastric mill cycle. The onset and offset phase of each gastric mill neuron was determined as the latency from cycle onset to the start and endpoint, respectively, of a gastric mill neuron burst, divided by the cycle period.
We determined the LG burst pattern during the POC- and VCN-gastric mill rhythms with respect to the pyloric rhythm by determining its relationship to the activity of the pyloric dilator (PD) neuron, a member of the pyloric pacemaker ensemble, during normalized pyloric cycles. The normalized pyloric cycle extended from PD neuron burst onset to the start of the next PD burst, as is standard for the pyloric rhythm (Bucher et al., 2006). Specifically, we separated the LG recording during each normalized pyloric cycle into 100 equal bins (1 bin = 1% normalized pyloric cycle) and determined the fraction of the LG spikes during each pyloric cycle that occurred in each bin (Bucher et al., 2006). In general, there are several pyloric cycles per LG burst, insofar as the LG burst is ∼5 s duration, and the pyloric cycle period during these gastric mill rhythms is ∼1 s (Beenhakker and Nusbaum, 2004; Beenhakker et al., 2004; Blitz et al., 2008).
To determine whether each type of gastric mill neuron was necessary for gastric mill rhythm generation, activity in a gastric mill neuron was reversibly suppressed by hyperpolarizing current (range, −0.5 to −4.0 nA) during an ongoing VCN- or POC-gastric mill rhythm. These hyperpolarizing current injections typically hyperpolarized the injected neuron to −65 to −90 mV. This range of current injections was not sufficient to alter the activity of any neurons to which the hyperpolarized neuron is electrically coupled (see circuit diagram in Fig. 1A). In C. borealis, all gastric mill neurons except for the gastric mill (GM) motor neurons are present as single copies in each STG (Kilman and Marder, 1996). There are four GM neurons per STG in C. borealis. Hence, for these experiments, three of four GM neurons were recorded intracellularly, and hyperpolarizing current was injected simultaneously into each one.
We determined whether a particular hyperpolarizing current injection altered the ongoing gastric mill rhythm by tracking the gastric mill cycle period via the rhythmic bursting in the LG neuron, except during LG hyperpolarizations when we also tracked Int1 activity. To this end, we determined the mean gastric mill cycle period (successive LG burst onsets) for the five cycles before a hyperpolarizing current injection and then labeled the expected onset time of the next several gastric mill cycles in the absence of any perturbation of the ongoing rhythm. We then determined whether the first gastric mill cycle onset (LG burst onset) after the start of a hyperpolarizing current injection occurred at the expected time in the absence of the hyperpolarization.
Data were plotted with Excel (version 2002; Microsoft), Prism (version 3.0; GraphPad Software), and Matlab (MathWorks). Figures were produced using CorelDraw (version 13.0 for Windows). Statistical analyses were performed with Microsoft Excel, SigmaStat 3.0 (SPSS Inc.), and Matlab. Comparisons were made to determine statistical significance using the paired Student's t test, with the following exceptions. The χ2 goodness-of-fit test (two-tailed) with Yates' correction was used to compare the percentage of pyloric cycles associated with an LG interspike interval pause of at least 200 ms during the POC- and VCN-gastric mill rhythms. The two-sample Kolmogorov–Smirnov goodness-of-fit test (K-S test) was used to determine the likelihood that the distribution of LG spikes across the pyloric cycle during the POC- and VCN-gastric mill rhythms was the same. As internal controls for the K-S test analysis, we divided each dataset in half and compared them with each other (i.e., half of the POC experiments with the other half of the POC experiments, and the same for the VCN experiments).
In all experiments, the effect of each manipulation was reversible, and there was no significant difference between the pre- and post-manipulation groups. Data are expressed as the mean ± standard error.
Results
The VCN- and POC-triggered gastric mill rhythms
The gastric mill rhythm is a two-phase motor pattern that underlies chewing behavior by alternately driving the protraction and retraction of the teeth, which are located in the gastric mill stomach compartment (Heinzel et al., 1993). This rhythm is generated by a CPG circuit in the STG. The gastric mill neurons are all identified and their synaptic interactions characterized (Nusbaum and Beenhakker, 2002; Marder and Bucher 2007; Stein, 2009). This circuit includes four types of protractor motor neurons [LG, GM, medial gastric (MG), inferior cardiac (IC)], three types of retractor motor neurons [DG, ventricular dilator (VD), anterior median (AM)], and a single interneuron (Int1) (Fig. 1A,B). The motor neurons also have synaptic actions within the circuit (Fig. 1B), enabling some of them to influence at least some versions of the gastric mill rhythm (Coleman et al., 1995; Bartos et al., 1999; Saideman et al., 2007). The gastric mill rhythm is an episodic motor pattern, in vivo and in vitro, that is driven primarily by projection neurons whose somata are located in the commissural ganglia (CoGs) (Fig. 1A) (Coleman and Nusbaum, 1994; Combes et al., 1999; Beenhakker and Nusbaum, 2004).
In the isolated crab STNS, relatively brief stimulation of the VCN or POC neurons triggers a gastric mill rhythm that commonly persists for tens of minutes after stimulation (Beenhakker et al., 2004; Blitz et al., 2008). The VCNs are a bilateral population (∼60 neurons per side) of stretch receptor neurons located in the lining of the cardiac sac stomach compartment, a food-storage organ just anterior to the gastric mill compartment (Beenhakker et al., 2004). The VCNs project to the CoGs, in which their activity triggers a long-lasting activation of the projection neurons modulatory commissural neuron 1 (MCN1) and commissural projection neuron 2 (CPN2) (Fig. 1A–C) (Beenhakker et al., 2004). VCN activation of these two projection neurons is necessary and sufficient to drive the VCN-gastric mill rhythm (Beenhakker and Nusbaum, 2004). All gastric mill neurons participate in the VCN-gastric mill rhythm.
The POCs are a bilateral population of peptidergic neurons (∼100 per side) that innervate the CoGs via the circumoesophageal commissure (coc), by which the thoracic ganglion communicates with each CoG (Fig. 1A) (Kirby and Nusbaum, 2007; Blitz et al., 2008). A subset of the POC axons cross to the contralateral coc via the poc (Fig. 1A) (Blitz et al., 2008). Like the VCNs, POC stimulation triggers a long-lasting activation of MCN1 and CPN2, which drives the gastric mill rhythm (Fig. 1B,C) (Blitz et al., 2008). All gastric mill neurons except AM participate in the POC-gastric mill rhythm.
Another distinction between the VCN- and POC-gastric mill motor patterns, besides the AM neuron participating only in the VCN rhythm, is the burst pattern of the protractor neuron LG (Fig. 1C). This neuron commonly fires tonically during the protraction phase of the VCN-gastric mill rhythm, whereas it exhibits a fast, rhythmic burst pattern during POC protraction. These distinct patterns result from the comparable patterns in MCN1 and CPN2 during each rhythm, because these projection neurons drive LG activity (Fig. 1C) (Coleman and Nusbaum, 1994; Norris et al., 1994; Blitz and Nusbaum, 2008). The fast rhythmic pattern in these projection neurons during POC protraction results from the fast rhythmic feedback inhibition they receive from the pyloric pacemaker interneuron AB (anterior burster) in the CoGs (Blitz and Nusbaum, 2008). Thus, the fast rhythmic LG burst pattern during the POC-gastric mill rhythm is also pyloric rhythm timed. The tonic pattern in the projection neurons and, thus, in LG during VCN protraction results from the AB feedback being gated out within the CoGs during this time (Blitz and Nusbaum, 2008). Insofar as AB is electrically coupled to and coactive with the paired PD neurons in the STG (Fig. 1B), the more readily recorded PD motor neurons serve as a useful monitor of AB activity (Fig. 1C).
Comparison of the VCN- and POC-triggered gastric mill motor patterns
Previous studies provided only a qualitative evaluation of the distinct LG burst pattern during the VCN- and POC-gastric mill rhythms. Thus, to more firmly establish this distinction, we analyzed the LG burst structure during each type of gastric mill rhythm. To this end, we determined its within-burst spike distribution relative to the AB/PD burst of the pyloric rhythm (see Materials and Methods). When plotted as a function of the phase of the pyloric rhythm, during the POC-gastric mill rhythm, there was a consistent drop in LG activity that began during the PD burst and continued afterward for another ∼20% of each pyloric cycle (n = 10 of 10 preparations) (Fig. 2A,B). In contrast, there was no evident PD-related decline in LG activity during VCN-gastric mill rhythms (n = 10 of 10 preparations) (Fig. 2C,D). The overall distribution of LG spikes across the pyloric cycle was significantly different during these two gastric mill rhythms (p = 9.2 × 10−5, n = 10 for each rhythm). In contrast, the distribution of LG spikes across the pyloric cycle was not different when either the POC dataset (p = 0.89, n = 10) or VCN dataset (p = 0.68, n = 10) was divided in half and compared.
We also determined the distribution of these same LG spikes during each pyloric cycle as a function of time instead of pyloric phase, by binning these spikes (10 ms/bin; ∼1% of the pyloric cycle), starting with PD burst onset. With this approach, during the POC-gastric mill rhythm, the biggest decline in the PD-timed activity of LG, wherein each bin contained ≤0.2% of the total LG spikes during the pyloric cycle, commonly lasted for at least 200 ms. We therefore determined the fraction of PD neuron bursts during each LG burst that were associated with a pause in LG firing of at least 200 ms. During the POC-gastric mill rhythm, there were such pauses in LG activity during 90% of all pyloric cycles (404 of 448 pyloric cycles, n = 10 preparations). Additionally, in all of the remaining 44 cycles, a briefer, PD-timed pause was still evident in LG activity. In contrast, during the VCN-gastric mill rhythm, comparable pauses of at least 200 ms in LG activity occurred in a significantly smaller percentage of pyloric cycles (5%: 23 of 466 pyloric cycles, n = 10 preparations; p < 0.0001 relative to the POC-gastric mill rhythm). Furthermore, in every case in which this pause did occur during the VCN rhythm (n = 23 of 23), there was only one per LG burst, and it took place at the end of the burst when the LG firing rate was waning.
We also compared several parameters that define the gastric mill motor pattern and found additional distinctions between the VCN- and POC-gastric mill rhythms. One such distinction was that the cycle period was briefer during the VCN-gastric mill rhythm (VCN, 10.36 ± 0.4 s, n = 10; POC, 13.39 s ± 1.1 s, n = 10; p = 0.02) (Fig. 3A). The longer cycle period for the POC rhythm resulted from a prolongation of both the protractor phase (i.e., LG burst duration) (VCN, 4.47 ± 0.2 s, n = 10; POC, 5.61 ± 0.5 s, n = 10; p = 0.04) and the retractor phase (VCN, 5.89 ± 0.3 s, n = 10; POC, 7.82 ± 0.7 s, n = 10; p = 0.03) (Fig. 3A,B).
In parallel with the increased protractor phase duration during the POC-gastric mill rhythm, the protractor neurons GM (POC, n = 10; VCN, n = 10, p = 0.02) and MG (POC, n = 10; VCN, n = 10; p = 0.03) exhibited longer-duration bursts during this version of the gastric mill rhythm (Fig. 3B). In contrast, despite the longer retractor phase duration during the POC rhythm, the retractor motor neuron DG burst duration was not different during the POC and VCN rhythms (each rhythm: n = 10, p = 0.98) (Fig. 3B). During both rhythms, the DG burst began partway through the retractor phase and terminated near the time of LG burst onset (Figs. 1C, 3C). Last, there was no difference in the duration of the gastropyloric motor neuron IC and VD bursts (each rhythm: n = 10, p = 0.3) (Fig. 3B). IC and VD activity spanned the retractor phase and overlapped the initial part of protraction (Figs. 1C, 3C).
There were also some differences in duty cycle and phase relationships during the VCN and POC rhythms. Specifically, the retractor neuron DG duty cycle was larger during the VCN rhythm (each rhythm; n = 10, p = 0.01), whereas the duty cycle of the protractor neuron MG was larger during the POC rhythm (each rhythm, n = 10, p = 0.049). With respect to phase, relative to its burst onset during the POC rhythm, during the VCN rhythm the burst onset of the protractor GM (each rhythm: n = 10, p = 0.0001) and MG (each rhythm: n = 10, p = 0.009) neurons were consistently phase delayed (Fig. 3C). In contrast, DG burst offset was phase delayed during the VCN rhythm (each rhythm: n = 10, p = 0.02) (Fig. 3C).
Thus, the POC-and VCN-gastric mill rhythms were distinct with respect to their cycle periods and many aspects of their patterns. The most prominent distinctions spanned five of the eight types of gastric mill neurons, including AM neuron participation only during the VCN-gastric mill rhythm and the distinct LG neuron burst structure, DG neuron duty cycle, and burst onset phase of the GM and MG neurons.
Influence of the pyloric rhythm on the VCN- and POC-triggered gastric mill motor patterns
One clear distinction between the VCN- and POC-gastric mill rhythms is the relative influence of the pyloric rhythm on the projection neurons MCN1 and CPN2 during the gastric mill protractor phase (Blitz and Nusbaum, 2008) and the resulting distinction in the LG burst pattern during these two motor patterns (Figs. 1C, 2). Thus, we tested the hypothesis that all of the identified differences between these two gastric mill motor patterns resulted from this distinct influence of the pyloric rhythm. To this end, we compared VCN- and POC-gastric mill motor patterns in preparations in which we suppressed the pyloric rhythm by injecting constant amplitude hyperpolarizing current into the pyloric pacemaker neurons (AB and PD neurons). We continuously monitored the pyloric rhythm by extracellular recordings of all pyloric motor neurons, including the PD neurons.
As shown previously for the POC rhythm (Blitz et al., 2008), suppressing the pyloric rhythm did not terminate either type of gastric mill rhythm (POC rhythm, n = 8; VCN rhythm, n = 8) (Fig. 4A,B). Thus, the pyloric rhythm was not necessary for POC- or VCN-gastric mill rhythm generation. However, as anticipated, suppressing the pyloric rhythm did alter these gastric mill motor patterns. For example, for the POC-gastric mill rhythm, suppressing the pyloric rhythm increased the cycle period [pyloric rhythm (PR) on, 12.7 ± 1.2 s; PR off, 19.6 ± 1.7 s; n = 8, p < 0.0001], protraction (LG burst) duration (PR on, 5.6 ± 0.7 s; PR off, 8.8 ± 0.9 s; n = 8, p < 0.0001), and retraction (LG interburst) duration (PR on, 7.1 ± 0.7 s; PR off, 12.8 ± 1.4 s; n = 8, p < 0.001). In contrast, for the VCN-gastric mill rhythm, suppressing the pyloric rhythm did not change either the cycle period (PR on, 10.3 ± 0.6 s; PR off, 12.7 ± 1.1 s; n = 8, p = 0.06) or protraction duration (PR on, 4.6 ± 0.3 s; PR off, 4.6 ± 0.2 s; n = 8, p = 0.41), but it did prolong retraction (PR on, 5.7 ± 0.7 s; PR off, 8.0 ± 1.0 s; n = 8, p = 0.04).
Suppressing the pyloric rhythm also altered the burst structure of those gastric mill neurons whose gastric mill rhythm-related burst normally exhibited pyloric-timed interruptions in firing. For example, as first reported qualitatively by Blitz et al. (2008), the pyloric-timed LG burst pattern during the POC rhythm changed to a tonic pattern when the pyloric rhythm was suppressed (eight of eight preparations) (Fig. 4A,C). In general, during these tonic LG bursts, the first half of each burst exhibited higher-frequency firing than the latter half (Fig. 4A). The pattern change in LG when the pyloric rhythm was suppressed during the POC-gastric mill rhythm included an ∼12-fold decrease in the number of events (PR on, 235; PR off, 19) within the instantaneous spike frequency range (1.5–3 Hz) in which most pyloric-timed interruptions in LG activity occurred (235 of 259: 91%; n = 5) when the pyloric rhythm was active (Fig. 4C). This reduced number of events between 1.5 and 3 Hz when the pyloric rhythm was suppressed occurred despite the considerably larger total number of events during this condition, as a result of the LG burst pattern switch from fast rhythmic to tonic firing and the prolonged LG burst duration (PR on, 2550 events; PR off, 4702 events; n = 5 preparations, 50 cycles for each condition). Suppressing the pyloric rhythm also broadened considerably the peak distribution of LG instantaneous spike frequencies (Fig. 4C).
Although the LG intraburst structure was changed by suppressing the pyloric rhythm during the POC-gastric mill rhythm, its mean intraburst firing frequency (excluding the pyloric-timed interruptions) did not change (PR on, 8.8 ± 1.0 Hz; PR off, 11.0 ± 1.4 Hz; n = 8, p = 0.08). However, the combination of the increased LG burst duration (see above) and the elimination of pyloric-timed interruptions more than doubled the mean number of LG spikes per burst when the pyloric rhythm was suppressed (PR on, 44.8 ± 7.5 spikes; PR off, 96.5 ± 13.4 spikes; n = 8, p < 0.001). The LG burst termination during the POC rhythm was also slightly phase advanced when the pyloric rhythm was suppressed (PR on, 0.43 ± 0.03; PR off, 0.41 ± 0.04; n = 8, p = 0.04). In contrast to the increased number of LG spikes per burst during the POC rhythm resulting from pyloric rhythm suppression, the same manipulation during the VCN-gastric mill rhythm did not alter this parameter (PR on, 51.3 ± 7.5 spikes; PR off, 56.3 ± 8.8 spikes; n = 8, p = 0.09) nor, as reported above, did it change the LG burst duration. However, as during the POC rhythm (see above), the LG burst termination during the VCN rhythm was phase advanced by suppressing the pyloric rhythm (PR on, 0.49 ± 0.04; PR off, 0.38 ± 0.04; n = 8, p = 0.02).
Suppressing the pyloric rhythm also changed the burst pattern from fast rhythmic to tonic for the GM neurons during the POC-gastric mill rhythm (Fig. 4A) and during both rhythms for the Int1, MG, IC, and VD neurons (data not shown). Thus, with the pyloric rhythm suppressed during the VCN- and POC-gastric mill rhythms, the burst structure of many gastric mill neurons converged to a tonic bursting pattern.
Despite the overall convergence of the gastric mill neuron burst structures to a tonic firing pattern when the pyloric rhythm was suppressed, comparing the VCN- and POC-gastric mill motor patterns during this manipulation showed that these patterns remained distinct with respect to other parameters. This was the case, for example, for the gastric mill cycle period, protraction duration, and retraction duration (Fig. 5A–C). There was little change in the level of significant difference for the cycle period and retraction duration relative to these values when the pyloric rhythm was active (Figs. 3A, 5A,B), but the protraction duration exhibited an increased significant difference when the pyloric rhythm was suppressed (Figs. 3B, 5C). Additionally, one parameter that was comparable during both gastric mill rhythms with the pyloric rhythm active, the number of LG spikes/burst, diverged when the pyloric rhythm was suppressed (PR on, p = 0.16; PR off, p = 0.03). Some parameters that had been distinct between these two gastric mill rhythms did become comparable when the pyloric rhythm was suppressed, such as the DG duty cycle (PR on, p = 0.01; PR off, p = 0.26) and the phase of its burst termination (PR on, p = 0.02; PR off, p = 0.28) (Figs. 3C, 5D,E). Overall, although the pyloric rhythm was responsible for the fast rhythmic burst pattern in many gastric mill neurons, it was not the source of all the differences in the gastric mill rhythm parameters that distinguished the POC- and VCN-gastric mill motor patterns.
Identifying the core rhythm-generating neurons during the VCN- and POC-gastric mill rhythms
The core rhythm-generating neurons for the version of the gastric mill motor pattern driven by tonic MCN1 stimulation in reduced preparations, with the CoGs removed, include LG and Int1 (Coleman et al., 1995; Bartos et al., 1999; Saideman et al., 2007). The same gastric mill motor pattern is elicited by bath applying Cancer borealis pyrokinin (CabPK) peptide, again in the isolated STG, although in this latter condition the core rhythm generator includes LG, Int1, and AB (Saideman et al., 2007). This version of the gastric mill motor pattern is distinct from those triggered by VCN or POC stimulation. For example, neither the GM nor AM neurons participate in the MCN1/CabPK-elicited gastric mill rhythm, the VD neuron is active only during retraction, and the IC neuron is predominantly active during protraction (Saideman et al., 2007). We therefore aimed to determine whether LG and Int1 also comprised the core rhythm generator for the gastric mill rhythms triggered by VCN and POC stimulation. To this end, we selectively and reversibly suppressed activity in each gastric mill neuron during VCN and POC rhythms for durations that were longer than their normal interburst duration and determined whether doing so interfered with the ongoing rhythm (see Materials and Methods).
Transiently hyperpolarizing either LG (n = 8) or Int1 (n = 5) consistently and reversibly disrupted the VCN-gastric mill rhythm. For example, as shown in Figure 6, the gastric mill cycle period was regular from cycle-to-cycle before each hyperpolarization. In contrast, during the maintained LG or Int1 hyperpolarization, the start of the next gastric mill cycle did not occur at the anticipated time. Instead, the next cycle onset was consistently delayed until sometime after the hyperpolarizing current injection was removed (cycle period: LG control, 13.2 ± 1.2 s; LG hyperpolarized, 26.5 ± 2.4 s; p = 0.0001, n = 8; Int1 control, 11.5 ± 2.7s; Int1 hyperpolarized, 23.4 ± 1.6 s; p = 0.002, n = 5) (Figs. 6, 7). Resumption of the gastric mill rhythm always began with a burst in the previously hyperpolarized neuron (Fig. 6). Moreover, after each hyperpolarizing current injection, the rhythm was reset in that the start of each subsequent gastric mill cycle (i.e., LG burst onset) did not return to occurring at its expected onset time in the absence of current injection (Fig. 6). The same results were obtained when LG or Int1 was reversibly hyperpolarized during the POC-gastric mill rhythm (LG, p = 0.002, n = 6; Int1, p = 0.017, n = 7) (Figs. 7, 8).
When LG activity was suppressed by hyperpolarizing current injection, the retractor phase was not simply prolonged. For example, whereas the retractor phase neuron Int1 did consistently maintain its retractor activity pattern, the retractor DG motor neuron burst was prolonged but not for the duration of the LG hyperpolarization (n = 8 of 8) (Figs. 6A, 8A). Additionally, the protractor phase neurons exhibited relatively weak activity during prolonged LG hyperpolarizations (Fig. 6A). Similarly, the protractor phase was not well maintained during Int1 hyperpolarization. For example, the LG activity waned over time (n = 5 of 5) (Fig. 6B). The retractor neurons, such as DG, were weakly active or silent (Figs. 6B, 8B). The disruption and subsequent resumption of the ongoing motor pattern occurred consistently across the ∼10-fold range of current injection durations used for LG and Int1 (Fig. 7).
Given the pivotal influence of LG and Int1 on rhythm generation during the VCN- and POC-motor patterns, we determined whether there was a difference in the range of their membrane potential oscillations during each rhythm, insofar as it might contribute to the differences between these two motor patterns. Across preparations, the slow wave membrane potential in LG was comparable during both motor patterns at the peak (VCN, −39.0 ± 1.2 mV, n = 6; POC, −39.6 ± 1.5 mV; n = 7, p = 0.09) and trough (VCN, −63.0 ± 0.8 mV, n = 6; POC, −61.3 ± 0.1 mV; n = 7, p = 0.4) of its gastric mill-timed profile. This was also the case for the Int1 peak (VCN, −37.7 ± 4.8 mV, n = 4; POC, −43.4 ± 3.6 mV, n = 6; p = 0.2) and trough (VCN, −63.2 ± 2.0 mV, n = 4; POC, −62.4 ± 2.9 mV, n = 6; p = 0.4) membrane potentials.
In contrast to the ability of LG and Int1 to influence gastric mill rhythm generation after VCN or POC stimulation, reversibly suppressing the activity of any one of the other gastric mill neurons never altered these ongoing rhythms, regardless of the duration of the hyperpolarizing current injection (p > 0.05 for all six neuron types; n = 3–10, both gastric mill rhythms) (Fig. 7). One example of this result is shown in Figure 9 for hyperpolarization of the retractor neuron DG. In neither the VCN- nor POC-gastric mill rhythm did suppressing DG activity alter the expected onset time of the next gastric mill cycle. This result was not necessarily a foregone conclusion, because the DG neuron does influence the gastric mill rhythm activated by bath applying CabPK (Saideman et al., 2007).
Discussion
In this paper, we have shown that the same core rhythm generator underlies different versions of a rhythmic motor pattern triggered by different input pathways. Specifically, the reciprocally inhibitory neurons LG and Int1 are the only gastric mill circuit neurons necessary for rhythm generation during the distinct, VCN- and POC-triggered gastric mill rhythms in the crab C. borealis (Fig. 10). It is not a foregone conclusion that different motor patterns generated by the same motor circuit would have the same rhythm generator. One reason for this uncertainty is that, for many CPGs, the different motor patterns they generate often result at least partly from a change in the set of participating neurons (Jing and Weiss, 2002; Popescu and Frost, 2002; Proekt et al., 2007; Briggman and Kristan, 2008; Berkowitz et al., 2010; Weaver et al., 2010). In contrast, one might anticipate that the same motor pattern elicited by different inputs would be driven by the same core rhythm generator, yet distinct albeit overlapping sets of neurons are necessary for generating the comparable MCN1- and CabPK-elicited gastric mill motor patterns. Specifically, they both include LG and Int1, but the pyloric pacemaker neuron AB is also necessary for CabPK-gastric mill rhythm generation (Coleman et al., 1995; Bartos et al., 1999; Saideman et al., 2007). The gastric mill motor pattern activated by MCN1 and CabPK is also distinct from the ones triggered by the POC and VCN pathways (Saideman et al., 2007).
The basis of rhythm generation in CPGs is classically separated into networks paced by intrinsically oscillatory neurons, often called pacemaker-driven CPGs, and those in which rhythm generation results from a combination of non-oscillatory intrinsic properties and synaptic interactions (network-driven CPGs) (Marder and Bucher, 2001; Marder et al., 2005; Selverston 2010). A common synaptic interaction motif in network-driven CPGs is reciprocal inhibition, as between the LG neuron and Int1. Some or all of the rhythm-generating neurons for at least one version of a rhythmic motor pattern are identified in a number of pacemaker-driven and network-driven rhythmic motor systems (Selverston and Miller, 1980; Getting and Dekin, 1985; Masino and Calabrese, 2002; Cangiano and Grillner, 2003, 2005; Katz et al., 2004; Peña et al., 2004; Pirtle and Satterlie, 2006; Saideman et al., 2007; Li et al., 2010; Selverston, 2010).
With respect to the degree of preservation of the core rhythm generator when a CPG produces different motor patterns, the pacemaker-driven pyloric circuit is the most extensively studied. Under the different modulatory conditions in which the pyloric rhythm generator has been identified, the pyloric pacemaker group (AB, PDs) retains this role (Hooper and Marder, 1987; Ayali and Harris-Warrick, 1999; Marder and Bucher, 2007). Similarly, the pacemaker-driven timing network for leech heartbeat is unchanged when each side of the system reciprocally switches its pattern between peristaltic and synchronous modes (Masino and Calabrese, 2002; Weaver et al., 2010). In contrast, work in the mammalian respiratory system suggests that its core rhythm generator switches between different types of pacemaker neurons during different respiratory behaviors (Peña et al., 2004). Less is known regarding preservation of the rhythm generator during different versions of a network-driven motor pattern. As discussed above, for the network-driven crab gastric mill CPG, the core rhythm generator group had been identified for one gastric mill motor pattern, driven by either tonic MCN1 stimulation or bath-applied CabPK (Saideman et al., 2007). Our current work establishes that the gastric mill rhythm generator can persist during different versions of this motor pattern. Although the number of systems studied remains limited, it appears that the neurons contributing to the core rhythm generator for a particular motor system can either persist or be modified when different versions of the motor pattern are elicited. This provisional conclusion suggests that this feature has more flexibility than other, more extensively characterized general principles of CPG organization (Marder and Calabrese, 1996; Marder and Bucher, 2001; Selverston, 2010).
Different versions of a particular motor pattern commonly result either from modulating the properties of the same set of pattern generating neurons or altering the set responsible for pattern generation (Marder et al., 2005; Marder and Bucher, 2007; Briggman and Kristan, 2008; Sasaki et al., 2009; Berkowitz et al., 2010). In contrast, the distinctions between the VCN- and POC-gastric mill rhythms appear to result at least partly from a selective gating-out of the feedback inhibition from the pyloric pacemaker neuron AB to MCN1 and CPN2 during the VCN-gastric mill protractor phase (Blitz and Nusbaum, 2008). This gating mechanism underlies the tonic versus pyloric-timed activity of MCN1 and CPN2 during the VCN- and POC-gastric mill protraction phase, respectively, which in turn determines the LG activity pattern. There must, however, be additional differences mediated by the POC and VCN pathways, insofar as the two gastric mill rhythms remained distinct in at least several respects when the pyloric rhythm was suppressed.
The fact that LG and Int1 were the only gastric mill neurons necessary for generating the VCN- and POC-gastric mill rhythms does not necessarily mean that other gastric mill neurons cannot influence rhythm generation. For example, the other protractor motor neurons are electrically coupled to LG. Consequently, whereas individual manipulations of these neurons did not interfere with the ongoing rhythm, coincident membrane potential changes in several of these neurons might produce such a change. Within the pyloric pacemaker group, electrical coupling enables the paired PD neurons to regulate the cycle period of the intrinsically oscillatory AB neuron, and manipulating both PD neurons has a stronger influence than either one alone on the AB cycle period (Hooper and Marder, 1987; Ayali and Harris-Warrick, 1999).
The fact that the POC- and VCN-gastric mill motor patterns were both altered by suppressing the pyloric rhythm indicates that the pyloric pacemaker neurons are pattern generator neurons for the gastric mill rhythm, in parallel with their well established roles as rhythm generator and pattern generator neurons for the pyloric rhythm (Marder and Bucher, 2007). For example, suppressing AB and PD neuron activity switched the activity pattern of all gastric mill neurons that normally exhibit pyloric-timed activity during the VCN- and POC-gastric mill rhythms to a tonic bursting pattern. This pattern change in the gastric mill motor neurons will likely influence both the pattern and strength of contraction of the muscles that they innervate (Heinzel et al., 1993; Stein et al., 2006; White et al., 2007). Earlier work by Weimann and Marder (1984), using gastric mill rhythms elicited by bath-applied modulators, drew the similar conclusion that current injection into some pyloric neurons could reset the gastric mill cycle period as could some gastric mill neurons for the pyloric cycle period. This observation adds to the previously established, intertwined nature of the gastric mill and pyloric circuits, which exhibit coordinated activity and regulate each other's cycle period, despite functioning with mean cycle periods that are ∼10-fold different (Bartos and Nusbaum, 1997; Clemens et al., 1998; Nadim et al., 1998; Bartos et al., 1999; Thuma and Hooper, 2002; Wood et al., 2004; Bucher et al., 2006). Many complex behaviors involve coordination between separate motor networks, as occurs for example between locomotion and respiration (Kawahara et al., 1989; Syed and Winlow, 1991; Bernasconi and Kohl, 1993; Morin and Viala, 2002; Saunders et al., 2004; Gariépy et al., 2010). Thus far, however, in most of these systems, it remains to be determined whether the coordination results from interactions between the two CPGs or is imposed on them from descending and/or ascending inputs (Ezure and Tanaka, 1997; Morin and Viala, 2002; Steriade, 2006).
Whether there are separate conditions in vivo that selectively activate the POC or VCN pathway to drive their two distinct gastric mill motor patterns is not yet known, although VCN-like gastric mill rhythms have been recorded in vivo (Heinzel et al., 1993). However, in vivo endoscope analysis has shown that the LG neuron-driven lateral teeth protract either smoothly or in a pyloric-timed pattern, supporting a natural behavioral role for the VCN- and POC-gastric mill patterns (Heinzel et al., 1993). As methodological developments for in vivo recordings and manipulations continue to be refined (Hedrich et al., 2011), it will become possible to determine whether the preservation of the gastric mill rhythm generator during different versions of the gastric mill motor pattern that occurs in the isolated STNS accurately reflects the comparable situation in the behaving animal.
Footnotes
This work was supported by National Institutes of Neurological Disorders and Stroke Grants R37-NS 29436 and R01-NS 42813 (M.P.N.). We thank Dawn M. Blitz for helpful discussions and comments on previous versions of this manuscript and Dirk Bucher and Joshua Gold for assistance with data analysis.
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