Abstract
The characteristics of a network are determined by parameters that describe the intrinsic properties of the component neurons and their synapses. Degeneracy occurs when more than one set of parameters produces the same (or very similar) output. It is not clear whether network degeneracy impacts network function or is simply a reflection of the fact that, although it is important for a network to be able to generate a particular output, it is not important how this is achieved. We address this issue in the feeding network of the mollusc Aplysia. In this system, there are two stimulation paradigms that generate egestive motor programs: repetition priming and positive biasing. We demonstrate that circuit parameters differ in the 2 cases (e.g., egestive repetition priming requires activity in an interneuron, B20, which is not essential for positive biasing). We show that degeneracy has consequences for task switching. If egestive repetition priming is immediately followed by stimulation of an ingestive input to the feeding central pattern generator, the first few cycles of activity are egestive (not ingestive). In this situation, there is a task switch cost. This “cost” is in part due to the potentiating effect of egestive repetition priming on B20. In contrast, there is no switch cost after positive biasing. Stimulation of the ingestive central pattern generator input immediately triggers ingestive activity. Our results indicate that the mechanisms used to pattern activity can impact network function in that they can determine how readily a network can switch from one configuration to another.
SIGNIFICANCE STATEMENT A particular pattern of neural activity can be generated by more than one set of circuit parameters. How or whether this impacts network function is unclear. We address this issue in the feeding network of Aplysia and demonstrate that degeneracy in network function can have consequences for task switching. Namely, we show that, when egestive activity is generated via one set of circuit modifications, an immediate switch to ingestive activity is not possible. In contrast, rapid transitions to ingestive activity are possible if egestive activity is generated via a different set of circuit modifications.
Keywords: central pattern generator, invertebrate, mollusc, motor program
Introduction
It has become apparent that a particular pattern of neural activity can be generated by more than one set of circuit parameters. This has been most extensively documented in the crustacean stomatogastric nervous system (Golowasch, 2014; Marder et al., 2015). Further, it has been reported in the network that generates the leech heartbeat (Norris et al., 2007; Roffman et al., 2012; Lamb and Calabrese, 2013), and in more than one behavioral context in Caenorhabditis elegans (Beverly et al., 2011; Trojanowski et al., 2014). It is tempting to speculate that such circuit degeneracy is simply a byproduct of the fact that evolution acts at the level of overall network performance and not at the level of the properties of individual neurons. In other words, as long as the network can produce the correct output, it does not matter how this is accomplished. Currently, this idea remains virtually unchallenged.
In this report, we study network degeneracy in a circuit that generates more than one output. Namely, we study a feeding circuit that generates ingestive and egestive motor programs. Under physiological conditions, task switching occurs in this circuit. For example, a bout of ingestive activity can be followed by a bout of egestive activity and vice versa (e.g., Proekt et al., 2008). We sought to determine whether there could be a relationship between how motor programs are patterned and how readily task switching can occur. In particular, we sought to determine whether a task switch that readily occurs when egestive activity is patterned using one set of circuit parameters less readily occurs when egestive activity is patterned using an alternative set of parameters.
Our experiments are conducted in the feeding network of the mollusc Aplysia and focus on the neural control of the radula, a tongue-like structure that is used to grasp food and pull it into the buccal cavity. Ingestive radula movements pull food into the buccal cavity, whereas egestive movements push it out (Kupfermann, 1974). Previous investigators studying the feeding network have identified radula motor neuron activity that can be used to classify feeding motor programs in the isolated nervous system (e.g., Morton and Chiel, 1993a,b). Further, inputs to the feeding central pattern generator (CPG) that can be used to trigger ingestive and egestive motor programs have been identified (see Fig. 1A) (e.g., Rosen et al., 1991; Church and Lloyd, 1994; Sánchez and Kirk, 2001; Morgan et al., 2002; Proekt et al., 2004; Dacks and Weiss, 2013).
Prior research has demonstrated that egestive motor programs can be triggered using two different stimulation paradigms (see Fig. 1B vs Fig. 1C) (Proekt et al., 2004; Dacks and Weiss, 2013). Previous data suggest that the mechanisms used to pattern motor activity are different in the two cases. One goal of this study was to determine whether this is the case. Second, previous work has established that, when egestive activity is generated using one of the two stimulation paradigms, it is not possible to immediately switch tasks (i.e., switch to an ingestive motor program) (Proekt et al., 2004). In this situation, there is a task switch “cost” (i.e., there is an increase in the amount of time required for the initiation of an ingestive response). A second goal of this study was to determine whether this task switch cost is always observed, or whether it can be avoided if egestive activity is patterned via an alternative set of circuit parameters. Thus, we sought to determine whether network degeneracy can have consequences for task switching.
Materials and Methods
Animals.
Adult sea slugs (Aplysia california) were purchased from Marinus Scientific and maintained in artificial seawater (Instant Ocean) at 14°C–16°C. Aplysia are hermaphrodites, and are therefore both male and female. Animals weighing 150–200 g were anesthetized by injection of 75–100 ml isotonic (i.e., 337 mm MgCl2). Cerebral and buccal ganglia were dissected out with the cerebral-buccal connectives, esophageal, and buccal nerves intact. The connective tissue surrounding ganglia was removed while ganglia were bathed in a solution containing 50% artificial seawater (in mm as follows: 60 NaCl, 10 KCl, 55 MgCl2, 11 CaCl2, and 10 HEPES buffer, pH 7.6) and 50% isotonic MgCl2. Desheathed ganglia were then superfused with artificial seawater at 0.3 ml/min and maintained at ∼15°C–17°C.
Cell identification.
Neurons were identified based on their location, size, and electrophysiological and morphological characteristics. Neurons recorded from in these experiments are cerebral-buccal interneuron 2 (CBI-2), B8, B20, B40, and B65. CBI-2 is a command-like neuron that triggers ingestive motor programs (Rosen et al., 1991). It is located in the M-cluster of the cerebral ganglion (Rosen et al., 1991; Hurwitz et al., 1999). B8 is a radula closer motor neuron, and it is located on the ventrolateral surface of the buccal ganglion (Morton and Chiel, 1993a,b). B20 and B65 are protraction interneurons that promote egestive activity (Jing and Weiss, 2001; Dacks and Weiss, 2013). B20 is located on the rostral surface of the buccal ganglion (Jing and Weiss, 2001). B65 is located on the caudal surface of the buccal ganglion at the intersection of the axonal bundles from buccal nerve one and the esophageal nerve (EN) (Kabotyanski et al., 1998). B40 is an interneuron that promotes ingestive activity (Jing and Weiss, 2002). It is located close to, usually lateral to, B65.
Electrophysiological recordings.
Intracellular recordings were performed using glass micropipettes filled with a 0.6 m K2SO4 and 60 mm KCl electrolyte solution. Electrodes were fabricated using a Flaming/Brown micropipette puller (Sutter Instrument) to yield a final resistance of 6–10 mΩ. Electrodes were held in HS-2A headstages (Molecular Devices) connected to AxoClamp 2B amplifiers (Molecular Devices). Extracellular nerve recordings were obtained from the EN and I2 nerve using suction electrodes fabricated by aspirating nerves into polyethylene tubing. Both intracellular and extracellular signals were amplified by a CyberAmp 380 (Molecular Devices) and digitized using a Digidata 1320A (Molecular Devices). Data were acquired using AxoScope software (Molecular Devices).
Classification of feeding motor programs.
Feeding behaviors in Aplysia can be classified as egestive or ingestive (Kupfermann, 1974; Morton and Chiel, 1993a, b). In both cases, the radula (food-grasping organ) initially protracts. Subsequently, the radula retracts. Behaviors differ in the relative timing of radula opening and closing. In ingestion, the radula is open during protraction and closed during retraction (Morton and Chiel, 1993a, b). This pulls food into the mouth. In egestion, the radula is open during retraction and closed during protraction. This pushes food out (Morton and Chiel, 1993a,b).
In vitro, motor activity was classified as has been previously described (Morton and Chiel, 1993a, b; Jing and Weiss, 2001, 2002; Jing et al., 2004; Proekt et al., 2004, 2007; Friedman and Weiss, 2010). The protraction phase of the motor program was monitored by recording from the I2 nerve, which contains the axons of protraction motor neurons (Hurwitz and Susswein, 1996; Nargeot et al., 1999a, b; Morgan et al., 2000; Jing and Weiss, 2001, 2002). Retraction was defined as the phase of the motor program in which high-frequency, large-amplitude units were recorded in the EN after I2 nerve activity (Morton and Chiel, 1993a, b; Nargeot et al., 1999b). Radula closing was monitored by recording from the B8 motor neurons (Morton and Chiel, 1993a, b). Activity was classified as ingestive when the B8 firing frequency during protraction was <3.5 Hz, the firing frequency during retraction was >4.5 Hz, and the ratio of the two numbers was <0.65 (Morgan et al., 2000, 2002). Activity was classified as egestive when the B8 firing frequency during protraction was >3.5 Hz, the firing frequency during retraction was <2.5 Hz, and the ratio of the two numbers was >2.0 (Morgan et al., 2000, 2002). Motor activity was considered intermediate when B8 fired at a low frequency during both protraction and retraction (Proekt et al., 2004; Dacks and Weiss, 2013).
Induction of ingestive and egestive motor programs.
Ingestive motor programs were triggered using CBI-2, which receives excitatory input from sensory neurons activated by food (Rosen et al., 1991). CBI-2 was intracellularly stimulated during the protraction phase of the motor program at 9 Hz with brief (15 ms) current pulses to elicit one-for-one action potentials (e.g., Friedman and Weiss, 2010). Single cycles of motor activity triggered in this manner most commonly had intermediate characteristics (as has been previously reported) (Proekt et al., 2004). Activity became ingestive when we “primed” preparations by repeatedly inducing motor activity with a relatively short intercycle interval (Proekt et al., 2004). More specifically, in most experiments, we stimulated CBI-2 so that 10 cycles of motor activity were triggered with 30 s between the termination of the retraction phase of one cycle and the initiation of the protraction phase of the following cycle (Friedman and Weiss, 2010).
Egestive motor programs were triggered via extracellular stimulation of a branch of the EN that contains processes of sensory neurons innervating the gut (Kuslansky et al., 1987). We used two stimulation protocols: egestive repetition priming (Proekt et al., 2004, 2007) and positive biasing (see Fig. 1B vs Fig. 1C) (Dacks and Weiss, 2013). To induce egestive repetition priming, the EN was stimulated continuously with 4–7 V, 3 ms pulses at 2 Hz for 2 min. The pulse amplitude was adjusted to elicit five successive cycles of activity (see Fig. 1B) (Proekt et al., 2004; Friedman et al., 2009; Siniscalchi et al., 2016). Programs were triggered in rested preparations. In positive biasing experiments, the EN was stimulated in the same manner, but stimulation began 30 s after CBI-2-induced ingestive priming (see Fig. 1C) (Dacks and Weiss, 2013).
Voltage-clamp determination of currents induced during motor programs.
Two-electrode voltage-clamp techniques were used to measure currents induced in B8 during motor programs. Phasic (presumably synaptic) currents were evaluated by measuring the total inward current induced in B8 during protraction and subtracting any tonic current that was present (Perkins et al., 2018). Neurons were held at ∼−60 mV (the normal resting potential of B8).
Excitability.
To measure B40 excitability, action potentials were elicited by injecting 2–4 nA, 4 s constant current depolarizing pulses every 30 s. The specific amount of current injected in an individual experiment was selected to generate ∼24 spikes under control conditions (before motor programs were triggered in CBI-2). Four stable responses were obtained before each experimental manipulation (i.e., before CBI-2 stimulation). The control excitability was calculated by averaging the number of spikes triggered during these four trials.
Statistics.
Data were analyzed in Clampfit and Spike 2 (Cambridge Electronic Design) and organized in Excel. All data were plotted and analyzed in Prism 6 (GraphPad Software). Error bars indicate SEMs, and the significance level was set at p < 0.05. When one-way ANOVA tests indicated significant effects, individual comparisons were calculated with a Tukey post hoc. When two-way ANOVA tests indicated significant effects, individual comparisons were calculated with Sidak's multiple comparisons. Throughout the results, n refers to the number of preparations.
Results
Two paradigms that generate egestive motor programs in the feeding circuit of Aplysia
There are two stimulation paradigms that can be used to induce egestive motor programs in the feeding network of Aplysia. In both cases, a branch of the EN that contains the processes of sensory neurons innervating the gut is stimulated (Fig. 1A) (Kuslansky et al., 1987). With one paradigm, motor activity is triggered in a previously quiescent preparation (Fig. 1B). In this situation, the first cycle of motor activity that is generated is poorly defined in that antagonistic motor neurons are coactive. This type of activity is referred to as having intermediate characteristics. As cycles of activity are repeatedly generated, however, phase relationships progressively change (Proekt et al., 2004). This paradigm is referred to as “egestive repetition priming,” referring to the fact that as motor activity is repeatedly induced it becomes more and more well defined as egestive. Second, Dacks and Weiss (2013) have demonstrated that, somewhat surprisingly, activity is immediately egestive if the EN is stimulated after a period of ingestive activity (Fig. 1C). This paradigm has been referred to as “positive biasing,” referring to the fact that a bout of ingestive activity promotes the subsequent induction of egestive activity.
In previous experiments that studied positive biasing, ingestive activity was induced by repeated stimulation of the command-like neuron CBI-2 followed by one or two cycles of motor activity triggered by stimulating the EN (Fig. 1C) (Dacks and Weiss, 2013). In most cases, only a single cycle of EN induced activity was analyzed. Consequently, these results did not indicate whether repeated activity induced after CBI-2 stimulation would remain egestive. To determine whether it does, we triggered motor programs using CBI-2, induced multiple cycles of activity using the EN, and analyzed the B8 firing frequency during both protraction and retraction (Fig. 2A). All cycles were egestive, and there was no significant change in the B8 firing frequency as activity progressed (Fig. 2B,C1,C2: for protraction, one-way ANOVA; F(3,16) = 1.101, p = 0.3776, n = 5: for retraction, one-way ANOVA; F(3,16) = 0.8, p = 0.5118, n = 5).
Is there degeneracy in the feeding circuit of Aplysia?
One goal of these experiments was to determine whether circuit mechanisms that pattern egestive activity during egestive repetition priming are different from those that pattern activity during the generation of a positively biased response.
Synaptic currents are increased during egestive repetition priming
When activity becomes egestive, there is an increase in the firing frequency of the B8 radula closer motor neurons during the protraction phase of motor programs (radula closing during protraction pushes food out of the buccal cavity) (Morton and Chiel, 1993a,b). In principle, a change in firing frequency can result from either an increase in excitability or increased synaptic input. When egestive activity is induced using the positive biasing paradigm, the change in B8 activity results from increased synaptic input from a protraction phase interneuron (Dacks and Weiss, 2013). We sought to determine whether the same is likely to be true for egestive repetition priming. To accomplish this, we induced motor programs by stimulating the EN (Fig. 3A1) and recorded from one of the four B8 neurons under current-clamp conditions (Fig. 3A2, top) and a second B8 under voltage-clamp conditions (Fig. 3A2, middle). We used the current-clamp recording to verify that egestive repetition priming occurred; that is, there was a significant increase in the protraction phase firing frequency of B8 when motor programs were repeatedly induced (Fig. 3A2,A3: t(5) = 8.56, p = 0.0004, paired t test; n = 6). We used the voltage-clamp recording to monitor corresponding changes in the magnitude of currents. In particular, we sought to determine whether there was an increase in the peak amplitude of the inward current recorded during the protraction phase of the motor program. This current did increase (Fig. 3A2,A4: t(5) = 6.30, p = 0.0015, paired t test; n = 6). Similar results were obtained when the change in the protraction phase current was recorded after a positively biased response was generated (Fig. 3B1,B2,B4: t(4) = 4.54, p = 0.0105, paired t test; n = 5). Indeed, the mean protraction phase current recorded after egestive repetition priming was −6.87 nA, and the mean protraction phase current recorded during the positively biased response was −6.93 nA (t(9) = 0.6, p = 0.9568). These data suggest that egestive repetition priming, like positive biasing, is at least partially mediated by an increase in synaptic input to B8.
An interneuron essential for generating a positively biased response (B65) is not essential for egestive repetition priming
A further question, however, is whether the source of synaptic input is the same under the two conditions (egestive repetition priming vs positive biasing). B65 is an identified protraction phase interneuron that is essential for generating a positively biased response (i.e., when it is hyperpolarized, a positively biased response is not generated) (Dacks and Weiss, 2013). To determine whether B65 is essential for egestive repetition priming, we triggered motor programs using the EN and initially induced egestive priming under control conditions (Fig. 4A1). We then attempted to induce egestive repetition priming with B65 bilaterally hyperpolarized, either during the fifth (last) cycle of motor activity (Fig. 4A2), or throughout all five cycles of the motor program (Fig. 4A3). Neither manipulation had an effect on the B8 firing frequency during protraction (i.e., egestiveness of activity) (Fig. 4B: one-way ANOVA; no differences among the three groups during the last cycle; F(2,15) = 1.57; p = 0.24; n = 8). These data indicate that positive biasing and egestive repetition priming differ in that activity in B65 is essential for generating a positively biased response, whereas it is not essential for egestive repetition priming.
The interneuron B20 is essential for egestive repetition priming but not for generating a positively biased response
To identify an interneuron that is essential for egestive repetition priming, we focused on B20. B20 is a second identified protraction interneuron that promotes egestive activity (Jing and Weiss, 2001) and is activated when programs are triggered by the EN (Proekt et al., 2007). We therefore conducted experiments in which we triggered programs using the EN under control conditions (Fig. 5A1), and with B20 hyperpolarized, either during the fifth (last) cycle of the motor program (Fig. 5A2) or continuously (Fig. 5A3). Both manipulations had a significant effect on the B8 firing frequency during protraction (Fig. 5B: one-way ANOVA comparing the three groups during the last cycle; F(2,17) = 25.8; p = 0.00007; n = 7). These data indicate that, although B65 is not essential for egestive repetition priming, a second protraction interneuron (B20) is. Together with previous work, this suggests that there is degeneracy in the way that egestive activity is patterned in that the increase in the B8 firing frequency observed when a positively biased response is generated is primarily mediated by input from B65, whereas the increase in B8 activity during egestive repetition priming is primarily mediated by input from B20.
However, the previous study that demonstrated that B65 is essential for generating a positively biased response did not examine the role of B20 in this phenomenon. Since there is an excitatory synaptic connection between B65 and B20 (Jing and Weiss, 2001), a B65 manipulation could impact B20 activity. To determine whether hyperpolarization of B20 does impact the generation of a positively biased response, we began experiments by inducing egestive repetition priming to characterize egestive activity (Fig. 6A1). We then generated egestive activity using the positive biasing paradigm under control conditions (Fig. 6A2) and with hyperpolarization of B20 (Fig. 6A3). When B20 was hyperpolarized 60 s after stimulation of CBI-2 (the time point previously used to evaluate the role of B65) (Dacks and Weiss, 2013), B20 hyperpolarization had no effect (Fig. 6A3,B: t(3) = 0.20, p = 0.8554, paired t test; n = 4). In contrast, when the same type of experiment was performed with B65 hyperpolarization, there was a significant decrease in the protraction phase B8 firing frequency (Fig. 6C: t(4) = 5.08, p = 0.0071, paired t test; n = 5).
To summarize, activity becomes egestive when there is increased activity in the B8 radula closer motor neurons during the protraction phase of motor programs. Egestive repetition priming and positive biasing are similar in that in both cases this is accomplished via increased activity in a protraction phase interneuron that directly excites B8. The two paradigms differ, however, in that egestive repetition priming requires activity in an interneuron, B20, which is not essential for the generation of a positively biased response. B65 is, however, necessary for generating a positively biased response under conditions where B20 is not. These data indicate that there is degeneracy in the way that egestive activity is patterned in the feeding circuit.
Does degeneracy in the feeding circuit impact task-switching?
A further goal of this work was to determine how degeneracy might impact network function.
Hyperpolarization of B20 prevents an egestive-ingestive task switch cost
Results of the present study together with previous work suggested that differences in the mechanisms used to pattern activity might impact the ability of the network to task switch (i.e., switch to an ingestive configuration). Thus, after egestive repetition priming, there is a “cost” when there is an attempt to switch to ingestive activity (Proekt et al., 2004). More specifically, programs triggered by CBI-2 after egestive repetition priming are egestive (i.e., they are not intermediate in nature as they would be if they were triggered in a quiescent preparation). Previous data suggest that activity in B20 is likely to be at least partially responsible for this switch cost (Proekt et al., 2004, 2007). In particular, increased activity in B20 is likely to be responsible for the increased activity in B8 during protraction. To determine whether this is the case, we conducted experiments in which we initially established that preparations were capable of generating ingestive activity (i.e., we triggered a series of motor programs using CBI-2) (Fig. 7A1). We then performed egestive-ingestive task switch experiments under control conditions (Fig. 7A2) and with hyperpolarization of B20 (Fig. 7A3). As has been previously reported, programs triggered by CBI-2 after egestive repetition priming were egestive, and the B8 firing frequency during protraction was elevated (Fig. 7A2,B). Hyperpolarization of B20 produced a significant decrease in protraction phase B8 activity (Fig. 7A3,B: t(4) = 9.42, p = 0.0007, paired t test; n = 5). When B20 was hyperpolarized, programs were no longer egestive. Further, B8 fired at a frequency that was close to 2 Hz, a frequency that previous work has demonstrated does not evoke a detectable radula movement (Friedman et al., 2009). This indicates that activity in B20 is essential for negative biasing.
In summary, when there is an attempt to trigger ingestive activity after egestive priming, there is a task switch cost. Programs are initially egestive (rather than intermediate). A neuron that impedes task switching (B20) plays a vital role in egestive repetition priming but not in generating a positively biased response. This suggests that switches to ingestive activity might occur more readily after a positively biased response is generated.
The generation of a positively biased response does not decrease the excitability of the “ingestive” interneuron B40
A third protraction interneuron that is likely to impact task switching is B40. B40 produces a slow, monosynaptic EPSP in B8 that increases the B8 firing frequency during retraction (Jing and Weiss, 2002). B40 is necessary for CBI-2-induced ingestive activity (i.e., radula closing during retraction) (Jing and Weiss, 2002). When egestive repetition priming is induced, there is a decrease in B40 excitability (Proekt et al., 2007). The impact of generating a positively biased response on B40 excitability has not been determined. A “no effect” result would be predicted if the hypothesis introduced above is correct (i.e., if switches to ingestive activity can occur more readily after generating a positively biased response).
To determine how B40 is impacted by generating a positively biased response, we measured its excitability in “rested” preparations (i.e., in preparations in which there was no motor program induction). We also measured excitability after motor programs were triggered using CBI-2 either without (Fig. 8A1) or with (Fig. 8A2) subsequent EN stimulation (i.e., positive biasing). CBI-2 stimulation increased excitability in both cases (i.e., there was no effect of positive biasing) (Fig. 8B,C; two-way ANOVA: F(2,31) = 19.57; p = 0.000003; Sidak's multiple-comparisons post-tests between pre-CBI-2 and post-CBI-2 data; ingestive priming, p = 0.037; positive biasing, p = 0.0005; Sidak's multiple-comparisons post-test indicated no significant difference between positive biasing and ingestive priming group; at 120 s, p = 0.67; at 150 s, p = 0.99; n = 6). These data indicate that egestive repetition priming and positive biasing differ in their effects on B40. This further suggests that the switch cost observed when there is an attempt to trigger ingestive activity after egestive repetition priming might not be observed after generating a positively biased response.
Ingestive activity can be triggered after generating a positively biased response
In a final set of experiments, we characterized egestive-ingestive switching after positively biased responses were generated to determine whether a switch cost is actually observed. To accomplish this, we induced positively biased responses and then triggered two cycles of activity using CBI-2 (Fig. 9A2). To test for a switch cost, we initially sought to determine whether the CBI-2-induced activity was egestive (i.e., whether the B8 firing frequency during the protraction phase of the motor program was higher than it was when activity was triggered in a similar manner but without the induction of positively biased responses) (Fig. 9A1). The induction of positively biased responses had no significant effect on the B8 firing frequency (Fig. 9B1; program 11: one-way ANOVA with Tukey's post hoc, p = 0.70; program 12: one-way ANOVA with Tukey's post hoc, p = 0.47; no positive biasing, n = 5; positive biasing, n = 4). These data indicate that programs triggered by CBI-2 after the induction of positively biased responses are not egestive.
A further question we addressed was as follows: are programs triggered after positive biasing truly ingestive? In particular, we sought to determine whether positive biasing produced a significant decrease in the firing frequency of B40 during protraction, and/or the firing frequency of B8 during retraction. We found that there was no significant decrease in either case (for the effect on B40, see Fig. 9B3; program 11: t(9) = 1.37, p = 0.2, t test; program 12: t(9) = 2.2, p = 0.06, t test; no positive biasing, n = 5; positive biasing, n = 4; for the effect on B8, see Figure 9B2; program 11: one-way ANOVA with Tukey's post hoc, p = 0.88; program 12: one-way ANOVA with Tukey's post hoc, p = 0.38; no positive biasing, n = 5; positive biasing, n = 4). These data indicate that positive biasing differs from egestive repetition in that an immediate switch to ingestive activity is possible.
We hypothesized that this difference in the efficacy of task switching was at least in part due to the fact that positive biasing does not decrease the B40 excitability (as egestive repetition priming does). To determine whether this is the case, we performed experiments in which we attempted egestive-ingestive task switches after the induction of positively biased responses with B40 hyperpolarized. We found that B40 hyperpolarization resulted in a significant decrease in the firing frequency of B8 during the retraction phase of the motor program and activity was no longer ingestive (protocol and sample traces shown in Fig. 9A3; Fig. 9B2: program 11: one-way ANOVA with Tukey's post hoc, p = 0.0012; program 12: one-way ANOVA with Tukey's post hoc, p = 0.0015; positive biasing, n = 4; positive biasing with B40 hyperpolarized, n = 6). These data demonstrate that, when B40 is hyperpolarized after the induction of positively biased responses, it is not possible to immediately return to ingestive activity. Together, our data indicate that a functional consequence of degeneracy in the feeding circuit is that task switching is impacted. The changes in the circuit that occur during egestive repetition priming led to an egestive configuration that persists and has a negative impact on the subsequent induction of ingestive activity. In contrast, although the changes in the circuit that occur when positively biased responses are generated also led to an egestive configuration they do not negatively impact subsequent attempts to generate ingestive activity.
Discussion
We sought to determine whether there is more than one set of circuit parameters that generates egestive activity in the feeding circuit of Aplysia. Activity is egestive when the radula closer motor neurons are primarily active during the protraction phase of the motor program (Morton and Chiel, 1993a, b). Radula closing during protraction pushes food out. We induced egestive activity using two paradigms: egestive repetition priming and positive biasing. We showed that circuit parameters differ in the two cases. Thus, we identified an example of degeneracy in the feeding circuit.
Degeneracy in network function in other systems
Degeneracy in network function has been demonstrated in other species. A well-characterized system where it has been studied is the crustacean stomatogastric nervous system. Here the potential for degeneracy was strikingly illustrated in a computational study that simulated millions of versions of a triphasic motor program (Prinz et al., 2004). This study demonstrated that virtually indistinguishable activity patterns could arise from widely disparate sets of circuit parameters. That degeneracy is seen in the biological stomatogastric network was subsequently confirmed. Variability of ion channel expression was measured using voltage-clamp techniques to measure currents, and single-cell PCR to measure channel mRNA expression (e.g., Schulz et al., 2006). These studies demonstrated that both conductances and mRNA levels vary considerably. Nevertheless, uniquely identifiable neurons have almost superimposable activity patterns (Schulz et al., 2006).
Other model organisms in which network degeneracy has been reported include the leech and C. elegans. For example, in the leech, there is variability in the strength of synaptic connections that control a stereotyped behavior, heartbeat (Norris et al., 2007; Roffman et al., 2012). In C. elegans, cell ablation and rescue experiments have demonstrated that different combinations of thermosensory neurons are necessary and sufficient for negative thermotaxis under different conditions (Beverly et al., 2011). Further, pharyngeal pumping can be triggered by more than one motor neuron (Trojanowski et al., 2014).
Functional significance of network degeneracy
Although network degeneracy is observed in a number of species, it is not clear why this is the case. It is possible that it is beneficial. Alternatively, it could be a reflection of the fact that, although it is important for a network to be able to generate a particular output, it is not important how this is achieved. In support of the idea that it is beneficial, others have argued that degeneracy makes circuit function more robust by providing multiple elements that can be varied to arrive at the same endpoint (for further discussion see Cropper et al., 2016). Our data also support the idea that degeneracy has functional significance. However, we present a novel idea that postulates that it can have consequences for state-dependent network dynamics. We suggest that the method used to pattern neural activity can determine how readily activity is reconfigured. Together with previous work (Proekt et al., 2004), our data indicate that when egestive activity is generated by egestive repetition priming, the feeding network cannot be immediately reconfigured to generate an ingestive motor program. In contrast, we show that task switching can occur more readily if egestive activity is generated using the positive biasing paradigm.
Circuit parameters that promote egestive-ingestive task switching in the feeding network
These and previous results identify circuit parameters that uniquely define egestive repetition priming as opposed to positive biasing. For example, increased synaptic input to the B8 radula closer motor neurons during protraction primarily results from input from two different interneurons (B20 for repetition priming and B65 for positive biasing). This difference partially accounts for the difference in task switching observed. In particular, it accounts for the negative biasing that is observed after egestive repetition priming but not positive biasing. As egestive repetition priming develops, there is an increase in B20's excitability and therefore its firing frequency (Fig. 10A). Effects of egestive repetition priming on B20 are at least partially peptide-mediated and persist (Wu et al., 2010). For example, after EN stimulation, the B20 excitability does not immediately return to baseline levels (Proekt et al., 2007). Further, during egestive repetition priming, persistent potentiation of B20-B8 synaptic transmission occurs (Proekt et al., 2004, 2007). These changes have consequences when there is an attempt to task switch because there is a fast excitatory synaptic connection between CBI-2 and B20 (Fig. 10A, right) (Jing and Weiss, 2001). In an unprimed network, this connection is weak. However, after EN stimulation, it becomes more effective. Consequently, the CBI-2-induced increase in B20 activity leads to an increase in the B8 firing frequency during protraction, and programs are egestive. In this situation, there is a switch cost since CBI-2 triggers a response that is less behaviorally appropriate than the response that is triggered in a quiescent preparation.
When egestive activity is generated using the positive biasing protocol, increases in B8 activity during protraction are primarily mediated by input from B65. B65 and B20 differ in an interesting way. B65 is inhibited, rather than excited, by CBI-2 (Fig. 10A vs Fig. 10B) (Jing and Weiss, 2005). Consequently, excitability increases that develop during positive biasing do not have a negative impact when there is an attempt to make an egestive-ingestive task switch (Fig. 10B, right). In this situation, there is no switch cost. In summary, egestive repetition priming and positive biasing are both mediated by an increase in the excitability of an “egestive” interneuron. In one case (egestive repetition priming), the “egestive” interneuron also receives excitatory input from the ingestive CPG input. Consequently, negative biasing is observed. In the other case (positive biasing), the egestive interneuron is inhibited when the ingestive CPG input is activated. Consequently, there is no negative biasing.
Differential B20 versus B65 activation can account for the fact that programs triggered by CBI-2 after priming are egestive, whereas programs triggered after the induction of positively biased results are generated are not. However, it cannot fully account for the fact that programs triggered after positive biasing are more than “not egestive” (i.e., they are truly ingestive). A “not egestive” program is one in which the B8 firing frequency during protraction is relatively low (i.e., the radula would not close as it moves forward), and food would not be pushed out of the buccal cavity. If a program is truly ingestive, relatively high-frequency B8 activity during retraction is necessary. Food is not pulled into the buccal cavity unless the radula closes as it retracts. B20 and B65 are both active during protraction and make fast excitatory connections with B8 (Teyke et al., 1993; Kabotyanski et al., 1998; Jing and Weiss, 2001, 2005). Consequently, these interneurons do not have a major impact on B8 during retraction.
We demonstrate that egestive repetition priming and positive biasing also differ in their effects on B40. B40 makes a complex synaptic connection with B8 (Jing and Weiss, 2002). B40 is active during protraction, but the excitatory component of the induced PSP is slow and primarily impacts B8 during retraction (Jing and Weiss, 2002). Interestingly, egestive repetition priming and positive biasing do not have the same effect on B40 excitability. Egestive repetition priming decreases it (Fig. 10A), but positive biasing does not (Fig. 10B). Consequently, when ingestive activity is triggered after positive biasing, B40 activity remains elevated (Fig. 10B, right). Our hyperpolarization experiments indicate that this contributes to the synaptic drive that B8 receives during retraction. In conclusion, we have identified several circuit parameters that differ when egestive activity is triggered via egestive repetition priming versus positive biasing. Further, we have demonstrated that these differences have consequences for task switching.
What is the functional significance of the difference in task switching?
An additional question is as follows: why would there be differences in task switching in the two situations? Egestive repetition priming presumably occurs when maintained exposure to an “egestive” stimulus triggers repeated rejection responses. Under physiological conditions, this is likely to occur during satiation, or in the presence of a noxious substance. If so, a sudden switch to ingestive activity may be counterproductive (e.g., a noxious substance could be accidently ingested). Thus, negative biasing may be important to prevent this from occurring. In contrast, positively biased responses will be generated immediately after there has been repeated exposure to an “ingestive” stimulus (food). Under physiological conditions, this type of rapid ingestive/egestive switch has been observed when animals that have been consuming a strip of seaweed suddenly encounter resistance (e.g., the other end of the seaweed is attached to a substrate) (Proekt et al., 2008). The “attached” piece of seaweed that cannot be ingested is egested. In this situation, a rapid return to ingestive activity is presumably beneficial since it allows animals to try again (i.e., to ingest a new strip). In summary, we suggest that network degeneracy makes it possible for animals to make relatively gradual egestive/ingestive task switches under one set of circumstances and relatively rapid switches under another. Thus, we suggest that the ability of a network to generate activity using more than one set of circuit parameters increases its potential for flexibility.
Footnotes
This work was supported by the National Institutes of Health Grants NS066587 and NS070583.
The authors declare no competing financial interests.
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