Abstract
Animals integrate physiological and environmental signals to modulate their food uptake. Failure to regulate feeding may have devastating results, including obesity and diabetes, underscoring the importance of understanding its underlying mechanisms. The nematode C. elegans, whose food uptake consists of pumping bacteria from the environment into the gut, provides excellent opportunities for discovering principles of conserved regulatory mechanisms. Here we show that worms implement a graded feeding response to the concentration of environmental bacteria by modulating a commitment to bursts of fast pumping. Using long-term, high-resolution, longitudinal recordings of feeding dynamics under defined conditions, we find that the frequency and duration of pumping bursts increase and the duration of long pauses diminishes in environments richer in bacteria. The bioamine serotonin, a known feeding regulator in metazoa, is required for food-dependent induction of bursts as well as for maintaining their high rate of pumping through two distinct mechanisms. Following this phenotype quantitatively we identify the essential serotonergic neurons and the differential roles of distinct families of serotonin receptors. We propose that regulation of bursts is a conserved mechanism of behavior and motor control.
Introduction
The regulation of food uptake is a critical mechanism with major physiological impacts. Aberrant feeding behaviors undermine weight regulation and are associated with a range of chronic diseases, while dietary restriction has implications on health and longevity 1–6. Simple model systems, like the nematode C. elegans, have proven invaluable to understanding the mechanisms of regulation of food uptake 7,8. Feeding of worms on bacteria is facilitated by the action of the pharynx, a neuromuscular pump that draws bacteria suspended in liquid into the gut from the surrounding environment and transports them to the intestine after concentrating and grinding 7,9–13. This process is conducted by a combination of two feeding motions, pumping and isthmus peristalsis. Pharyngeal pumping is a cycle of contraction and relaxation of pharyngeal muscles, in which bacterial food is taken from the environment, bacterial cells are trapped, and the surrounding liquid is expelled. Isthmus peristalsis is a peristaltic contraction of the muscles that carry the food within the pharynx 7,12. Pharyngeal pumping is therefore a primary indicator of food intake.
The two feeding motions are operated by the pharyngeal nervous system, one of the two independently functioning nervous systems of the worm, consisting of 20 neurons of 14 types 14. The MC and M3 neurons control pumping, while M4 is essential for isthumus peristalsis 10,11. Previous results suggest that pharyngeal pumping depends on feeding history and quality of food through a mechanism that involves the neurotransmitter serotonin (5-HT, 5-hydroxytryptamine) 15–18. Serotonin increases feeding rate of Caenorhabditis elegans 19 and has been suggested as a putative food signal that controls feeding of the animal 20. Evidence suggests that serotonin acts directly on MC and M3 neurons to facilitate fast pharyngeal muscle contraction–tion cycles 16,21,22.
Serotonin is a key modulator in the worm, involved in a variety of processes including foraging, mating, egg-laying, metabolism, chemosensation, aversive olfactory learning, and feeding 20,23–30. Endogenous synthesis of serotonin requires the tryptophan hydroxylase, which is expressed in all serotonergic neurons from the tph-1 gene 14,25,31. Two pairs of head serotonergic neurons, the pharyngeal secretory neurons (NSM) and the chemosensory neurons (ADF) 18,20,32, have been implicated in feeding, although their precise roles remain elusive 32,33. Additional complexity comes from the differential roles played by the different families of serotonin receptors. Three of the five known species of serotonin receptors, SER-1, SER-4, and SER-7, are expressed in pharyngeal neurons or muscles, suggesting a possible involvement in pharyngeal activity 34–36.
Here we hypothesize that worms modulate the dynamics of feeding in response to the availability of food in their environment, and we seek to characterize this response and trace its origins. Conventional feeding assays 37 are performed on dense bacterial lawns, which does not allow for fine control of food concentration. We therefore employed a custom microfluidic device 38 that enabled us to precisely control the concentration of available food and to monitor the dynamics of pharyngeal pumping at high resolution. Using these data, we show that feeding is characterized by bursts of fast, regular pumping, whose duration and frequency are correlated with the availability of food. In addition, feeding at low food densities is characterized by an abundance of long pauses. We implicate serotonin in promoting fast pumping and in suppressing long pauses and utilize these phenotypes to show that the serotonergic neurons NSM and HSN are together necessary and individually sufficient for fast pumping. This is the first time the HSN neurons, which are located in the middle of the worm body and send no processes into the pharynx, are implicated in the regulation of feeding. Two serotonin receptors, the 5-HT1 ortholog SER-1 and the 5-HT2 ortholog SER-4, are involved in food-dependent induction of fast pumping. While SER-1 receptors are involved in controlling the abundance of fast pumping, SER-4 are involved in maintaining the high pumping rate. Finally, we point out differences between induction of pumping by food and by exogenous serotonin, which relies on the 5-HT7 ortholog SER-7.
Results
Long-term automatic recording of pumping dynamics at defined food concentrations
Typical measurements of pharyngeal behavior involve manual scoring over short (30 - 60 sec) intervals 37, to estimate the average number of pumping events observed per unit of time, or the average pumping rate. To allow more detailed characterization of feeding dynamics, we performed long-term time-lapse imaging of the pharynx of multiple worms (Fig. 1A and Movie S1). For longitudinal measurements, worms were individually confined in a custom microfluidic device which permits maintenance of worms for longer than 24 hours with no detectable effect on their longevity, egg-laying, or pumping dynamics (Supp. Fig. 1) 38. Bacteria suspended in standard S-medium were constantly flown through the device, ensuring a continuous supply of bacteria at a fixed density. In what follows we indicate the densities of bacterial suspensions in units of optical density at 600nm (OD600).
In our experiments, worms were loaded to the device and fed high-density bacteria (OD600=3) for 3 hours before transitioning to the test media and beginning measurements. We cycled through the worms, taking a 5-30 minute time-lapse movie at a frequency of 50 frames per second for each worm in each imaging cycle. Our measurements lasted 2-3 hours, allowing us to revisit most worms multiple times.
The resulting movies were analyzed using a custom workflow that automatically detects pumping events by tracking the motion of the grinder. The high contrast between the grinder and its surroundings and its fast motion permit easy detection of pumping events by comparing consecutive images (Fig. 1B, Movie S2 and Materials and Methods). The intensity of the difference between images is indicative of the speed of the grinder motion (Fig. 1C), while the displacement between changing regions provides information about the direction of the motion (Fig. 1D). A pumping event is identified as a reset of the grinder (after the previous event), inversion of the grinder plates, and relaxation of the muscle (Fig. 1C,D) 12,13.
For each event, we define ΔtPD as the time between contraction and relaxation in a single pumping event (Pump Duration, PD), and ΔtPI as the time interval between relaxation times of consecutive pumping events (Pumping Interval, PI; Fig. 1C). Since each contraction-relaxation cycle corresponds to a single muscle action potential 39,40, the pulse duration ΔtPD and the inter-pulse interval (IPI) ΔtIPI = ΔtPI – ΔtPD are related to the duration of an action potential and the time the neuron membrane potential rebounds after repolarization, respectively.
The average pumping rate, but not the duration of individual pumps, increases with food concentration
Food availability is presumed to be one of the key factors that regulate feeding. In worms, the presence of bacterial food on solid media stimulate pumping 20, and the mean feeding rate of worms grown in liquid culture increases with food concentrations 19, although worms grow slowly and show reduced fertility in liquid medium 41,42.
To characterize the regulation of feeding behavior in response to food availability, we collected and analyzed time-series data from multiple “wild-type” worms (the laboratory strain N2) at different food concentrations in the range from OD600=0 to OD600=8. To connect with previous results, we first estimated the average pumping rate at each density by counting the number of pumping events observed in each worm, dividing this number by the duration of that measurement, and averaging over all worms. We found that the average rate increases gradually with the concentration of supplied food from almost zero in clean media to a maximal average rate of 270 pumps/min in densities above OD600=3 (Fig. 2A).
The duration of individual pumps was unaffected by the density of food. To see this, we measured the relative frequency (i.e., the empirical probability) of pump durations ΔtPD at different food concentrations. We found that these distributions were always sharply peaked around 80ms in all food concentrations, except in the complete absence of food (Fig. 2B and Supp. Fig. 2A). Thus, the duration of individual pumps is held fixed in fed worms, and does not contribute to the regulation of food uptake. The modulation of feeding dynamics is therefore captured in the way pumping events occur in time.
A bursty pumping dynamics
An efficient way to represent the time-series of pumping by an individual animal is to graph the cumulative count of pumping events it performs over time (Figs. 2C and Supp. Fig. 2B). For each animal, the instantaneous pumping rate is the slope of a tangent line at any point on this graph, while the average pumping rate is the slope of a chord line of the same graph (Supp. Fig. 2C). At high food concentrations (above OD600=3), most worms pumped at a constant instantaneous rate, which was close to their average rate. In contrast, at lower food concentrations the pumping-count graphs alternated between periods of regular pumping at almost constant instantaneous rate (straight diagonal segments), and periods of much slower and irregular pumping (curved segments). In such cases, the average pumping rate fails to capture the true dynamics of feeding. This led us to hypothesize that pumping dynamics are not homogeneous in time. Rather, we propose that pumping occurs in bursts of fast, regular pumping, punctuated with periods of slower, irregular pumping.
Support for the idea of inhomogeneous pumping dynamics comes from the relative frequency of different pumping intervals (ΔtPI) observed at different food concentrations (Fig. 2D). These histograms were typically composed of a sharp peak around 174ms (corresponding to 6 pumps/second, or 345 pumps/min), and a heavy tail of much longer intervals, extending up to several seconds. The short-interval peak, resembling a Gaussian distribution with a standard deviation of 20ms, dominated the histograms at high food concentrations, consistent with the observation that at these densities, individual worms pump at a constant instantaneous rate (Fig. 2C and Supp. Fig. 2B). Previous electrophysiological recordings from the pharynx demonstrate that a pumping action potential and the subsequent rebound after repolarization take around 250ms 13, a timescale comparable to the pumping interval. This suggests that the pump intervals that contribute to the peak are as short as physiologically possible.
To help in classifying different pumping behaviors, Fig. 3A shows the same data as Fig. 2D in a different representation. For a given time t, we let F(t) be the fraction of time spent by the population of worms in pumping intervals (ΔtPD) that are longer than t. For example, F(600ms) = 10% means that on average a worm at the relevant food concentration spends 10% of its time in pumping intervals that are longer 600ms. In Fig. 3A we plot the measured values of F at different food densities as a function of the instantaneous rate r=1/t, rather than t, since this representation clearly suggests 3 classes of pumping dynamics: long pauses (corresponding to the sharp decline at small r); fast pumping (or short intervals, the steep increase at large r); and intermediate intervals, for which - curiously - the curve shows steady linear increase with the rate r. This feature allows us to unambiguously define the fraction of time spent in long pauses and the fraction of time spent in bursts of fast pumping respectively as the value of F(r) at the first point and the value 1 − F(r) at the last point of the linear segment in each curve in Fig. 3A. In almost all cases we studied, the former occurs around r=100 pumps/min (corresponding to intervals longer than 600ms) and the latter around r=250 pumps/min (or intervals shorter than 240ms). For simplicity, we therefore refer hereafter to intervals longer than 600ms as long pauses and to pumping at rate higher than 250 pumps/min as fast pumping, except when the range of the linear part of F(r) is significantly different.
As exemplified in Fig. 2C, individual worms often display pumping dynamics of all three classes (Supp. Fig. 3A). The hypothesis that fast pumping appears in bursts suggests that short intervals (ΔtPI) are clustered in time, rather than spread randomly among intermediate intervals and long pauses. To test this hypothesis, we compared the observed statistics of burst duration (red curve of Fig. 3B) with what is expected if the duration of different intervals were uncorrelated (black curve of Fig. 3B). In support of our hypothesis, we observed that the duration of bursts was significantly longer than expected by chance (p-value < 10−50, Kolmogorov-Smirnov test).
Modulating the commitment to fast pumping is the primary mechanism of adjusting feeding to food availability
We next sought to characterize the effect food availability has on the dynamics of pumping. The data in Fig. 3A suggests that the density of food affects the fraction of time spent in both fast pumping and long pauses. In worms not supplied with food, pumping dynamics were dominated by long pauses. These long pauses also take up a significant fraction of time in worms fed with low-concentration food, but the fraction of time spent in such pauses decreases rapidly with the increasing density of food (Fig. 3C). Conversely, the time spent in fast pumping increases gradually with the concentration of food (Fig. 3D). The relative time spent in both types of dynamics saturates around OD600=3.
In the presence of food, most pumping events occur during periods of fast pumping (Fig. 2D). We therefore reasoned that the modulation of the average pumping rate in response to food comes mostly from modulation of the fraction of time spent in fast pumping. Indeed, we find a very strong correlation (R2=0.99) between the average pumping rates at different food concentrations and the fraction of time spent in fast pumping (Fig. 3E). Variation in the fraction of time spent in bursts comes both from an increase in the average duration of individual bursts (Supp. Fig. 3B) and from an increase in their frequency (that is, a decrease in the time intervals between them, Supp. Fig. 3C).
Serotonin production is required for fast pumping
The neurotransmitter serotonin is known to stimulate pharyngeal pumping by affecting MC neurons to increase the frequency of pharyngeal pumping and by decreasing the duration of the action potential in M3 neurons 16,21,22,43. In the absence of food, exogenous serotonin stimulates the activity of the MC neurons and induces pumping, mimicking the effect of food 20. As our results suggest that the relative frequencies of long pauses and bursts of fast pumping depend on food concentration, we asked if serotonin is involved in the mechanism behind this relation.
To address this question we first recorded the pumping dynamics in tph-1 deletion mutants, which lack the tryptophan hydroxylase required for serotonin biosynthesis 25. The fraction of time spent in fast pumping was significantly suppressed in these worms at all food concentrations (Fig. 4A). In fact, fast pumping was under-represented in these worms, as seen by the absence of a high-rate steep increase in Fig. 4B. As a result, the average pumping rate in tph-1 worms was significantly lower than in wild-type worms at all food densities (Fig. 5A).
Serotonin production in NSM and HSN is together necessary and individually sufficient for food-driven fast pumping
Two pairs of serotonergic neurons reside in the head of the worm, the sensory neurons ADF and the pharyngeal neurons NSM. Another pair of serotonergic motor neurons, HSN, is located in the middle of the worm body and known to control vulval and uterine muscles. While the ADF and NSM neurons were implicated in serotonergic modulation of feeding behavior 18,20,32,44, their role remains elusive. In addition, the HSN neurons are not known to be involved in regulation of pumping.
To examine the role of these serotonergic neurons in modulating feeding dynamics in response to food availability, we collected time-series of pumping from worms in which serotonin production was inhibited in subsets of these neurons. This was done using a Cre/Lox strategy, as previously described 30. Briefly, a single copy of the tph-1 gene and its native promoter flanked by Lox signals was introduced into the genome of tph-1 worms. The cre gene was then introduced into these worms using neuron-specific promoters (either individually or in groups), to excise the tph-1 gene only in those neurons. Inhibition of serotonin production in all three pairs of neurons (NSM, ADF and HSN) simultaneously led to strong suppression of fast pumping (Fig. 4C) and the elimination of the high-rate steep increase (Supp. Fig. 4A) as observed in tph-1 mutants (Fig. 4B), demonstrating the potency of the method.
In contrast, inhibition of serotonin production from each pair of neurons individually had a much less dramatic effect. Excision of the floxed tph-1 either in the two ADF neurons or in the two HSN neurons had no noticeable effect on the dynamics of pumping. For ADF, this result is rather surprising, given the known role of ADF in regulation of feeding on agar surface 32 and for feeding response to familiar food 18. We therefore confirmed this result using two independent approaches. First, we inhibited synaptic release of serotonin from the ADF neurons by expressing the tetanus toxin (TeTx) from the ADF-specific srh-142 promoter 45. These worms exhibited pumping dynamics indistinguishable from that of wild-type worms at both high and intermediate food concentrations (Fig. 4C and Supp. Fig. 4B). Similarly, inhibition of the ADF neurons by transgenic expression of an activated form of potassium channel twk-18(cn110) 46, showed no significant effect on pumping dynamics. Together, these results demonstrate that under these conditions, ADF neurons are not necessary for controlling the pumping dynamics, suggesting context-dependent functions of ADF.
Excision of floxed tph-1 in the NSM neurons alone or in both the NSM and ADF neurons, led to a small decrease in the fraction of time spent in fast pumping at high food concentration (Fig. 4C), but not at intermediate concentration (Supp. Fig. 4B) In contrast, simultaneous inhibition of serotonin production in NSM and HSN neurons led to a substantial decrease in fast pumping to the same level observed in tph-1 worms and in worms where floxed tph-1 was excised from all 3 pairs of neurons.
The serotonin receptors SER-1 and SER-4 regulate different properties of food-driven fast pumping
Five serotonin receptors have been identified in C. elegans to date. Four are serotonin-activated G protein coupled receptors (SER-1, 4, 5 and 7) and one is a serotonin-gated Cl− channel (MOD-1) 36,47. The different receptors have individual patterns of expression and different (sometimes antagonistic) roles in serotonin-dependent behaviors. Thus, the identities and functions of serotonin receptors involved in feeding behavior is a complex question. While the essential role of SER-7 in serotoninergic stimulation of pharyngeal pumping has received much attention 16,18,43, the excitatory roles of SER-1 16 and SER-5 32 as well as the inhibitory roles of SER-4 and MOD-1 18 have also been discussed.
To investigate the roles of the different serotonin receptors in the modulation of fast pumping and long pauses in response to food, we considered worms carrying a null allele in each one of the known canonical serotonin receptors individually, or in a quintuple mutant carrying all five simultaneously. Unlike tph-1 worms, which do not display bursts of fast pumping, all these strains showed consistent bursts in the presence of food. The average pumping rate, however, was significantly reduced in ser-1 and ser-4 mutants, as well as in worms carrying all five null alleles (Fig. 5A). In ser-1 and in the quintuple mutants this was the result of similar suppression in the fraction of time spent in fast pumping (Fig. 5B and Supp. Fig. 5B). In contrast, ser-4 worms did not show significant suppression in the time spent in bursts, but rather a reduction in the rate of their fast pumping. This was again determined by plotting F(r), the fraction of time spent in different pumping intervals (Fig. 5C and Supp. Fig. 5A), and identifying the fast rate as the rate of the final ascent, which occurs at 200min−1 in ser-4 worms (cf. 250min−1 in wild-type). The reduction in the fast rate came from prolonged intervals between pumping events (ΔtPI) and not from change in the duration of individual events (ΔtPD) (Supp. Fig. 5C). Deletion of any one of the other three receptors — ser-5, ser-7 or mod-1 – showed no significant effect on pumping dynamics on food.
Exogenous supply of serotonin promotes fast pumping and suppresses long pauses
On agar plates, high concentration of serotonin activates overall feeding 25,43. To link this behavior to food-driven feeding, we recorded the dynamics of pumping in unfed wild-type worms supplied with serotonin at different concentrations (Fig. 6A). Mimicking the effect of food, higher concentrations of serotonin in the media led to higher average pumping rate. Also similar to food, increased concentrations of serotonin resulted in suppression of long pauses (Fig. 6B) and in an increase of the fraction of time spent in fast pumping (Fig. 6C). However, a clear difference was observed in the distribution of long pauses. In the presence of exogenous serotonin very long pauses, lasting several seconds, were effectively eliminated (Supp. Fig. 6B, E). Such long pauses were interrupted by a few pumping events, even when these did not form a significant burst (Supp. Fig. 6C). The dual effect of exogenous serotonin persists even in the presence of food (Fig. 3C, D). In addition, supplying exogenous serotonin allowed tph-1 worms to exhibit fast pumping with dynamics similar to that of wild-type worms (Fig. 4A, B) 43.
Induction of feeding by serotonin is known to depend on the serotonin receptor SER-7 [38]. Indeed, even in the presence of high concentrations of serotonin (5mM), ser-7 worms spent a considerable fraction of their time in long pauses (Fig. 6D) and displayed no fast pumping (Fig. 6E). A similar but weaker phenotype was observed in ser-4 worms for both effects. As in food-driven pumping, the rate of fast pumping by these animals was slower than that of wild-type worms (Supp. Fig. 6F). Worms lacking all five canonical receptors showed the stronger phenotype, showing almost no response to exogenous serotonin and spending most of their time in long pauses.
Discussion
The energy needs of a living organism must be fulfilled and balanced despite large fluctuations in nutrient availability and energy expenditure. Energy uptake is therefore regulated in response to the internal state of the body and to environmental conditions. Simple model organisms, like C. elegans, are particularly useful for elucidating underlying regulatory mechanisms. The advance in microfluidics and image processing techniques offers a unique opportunity for a longitudinal study of the regulatory response of living animals to precisely defined environments.
In this work, we showed that the rate of pharyngeal pumping in the worm is continuously matched with the concentration of bacterial food in the environment. We found that the time series of pumping in individual worms occurs in bursts of fast pumping. During these bursts, worms display fast, regular pumping, at a rate similar to the maximal rate allowed by the underlying neuronal physiology 13. The response in average feeding rate to food availability is controlled by modulating the fraction of time spent in fast pumping, rather than by continuously tuning the instantaneous pumping rate. Slow and irregular pumping has been previously described and linked to the effect of mutations that affect the MC neurons or the effect of starvation 11,13,21,48. Our data suggest, however, that slow pumping also occurs in healthy animals even in the presence of food as part of regulation of the overall feeding rate.
The biogenic amine serotonin (5-hydroxytryptamine; 5-HT) plays a pivotal role in energy homeostasis, e.g. by coordinating the perception of nutrient availability and feeding. Worms that cannot synthesize serotonin are capable of fast pumping, but fail to generate bursts. This result is consistent with the seminal work of Hobson et al 16, which showed how worms fail to maintain fast pumping over time when feeding on lawns of bacteria on agar plates.
We demonstrated that serotonin production in the pharyngeal motor neurons NSM and in the mid-body motor neuron HSN is necessary and sufficient for fast pumping in response to food. The involvement of NSM is consistent with previous reports that implicate the serotonin-controlled MC neurons in regular pumping 11,13,16 and complements studies of feeding under high food concentration conditions 32,33. On the other hand, the role of HSN in the regulation of feeding is unexpected, due to their distal location from the pharynx and their known roles 49. Recent findings, however, demonstrate a synergistic role for HSN and NSM in promoting a locomotion behavioral state known as dwelling, where worms inside a bacteria lawn move slowly and turn frequently to explore locally. This behavior relies on serotonin production in both the NSM and HSN neurons, but not in ADF 26,50.
That serotonin production in HSN alone is sufficient to elicit food-dependent pumping dynamics suggests two possible models. First, it is possible that serotonin produced by HSN is being taken up by the NSM neurons (through the reuptake receptor MOD-5, which is expressed in the NSM neurons) and is used by NSM to transmit food-dependent information to its post-synaptic cells. In this model, serotonin from HSN can be used by the NSM as an alternative source of this neurotransmitter in the absence of its tph-1. An alternative model suggests that humoral serotonin from HSN promotes fast pumping directly, without the need for NSM, supported by the fact that laser ablation of the NSM neurons had no noticeable effect on pumping dynamics in worms feeding on a plate 11,18. In this model, HSN activity depends on food availability, consistent with the fact that egg-laying rate, which is directly regulated by HSN, is significantly higher in the presence of abundant food than in its absence 20.
The serotonergic sensory neurons ADF have been previously implicated in pumping on plates and regulation of feeding in response to familiar food 18,32. It was therefore surprising that ADF had no role in modulating pumping dynamics in our experiments, and we verified these results using three independent approaches: excision of tph-1 exclusively in the ADF neurons, inhibition of synaptic release of serotonin from ADF by expressing the tetanus toxin (TeTx), and inhibition of the ADF neurons by transgenic expression of an activated form of potassium channel TWK-18. In addition, previous studies of the roles played by serotonergic neurons in food-associated stimulation of pharyngeal pumping led to contradicting results supporting either ADF or NSM 32,33.
Previous studies have linked ADF with stress response 28,51,52 and feeding in response to change of food quality 18 The role of ADF in feeding regulation has been demonstrated for worms on a plate, where worms move freely in and out of the bacteria-covered region 32. In contrast, in our experiments, well-fed worms were assayed in stationary environments, where the animals are kept at constant food concentration for hours. Thus, it is possible that the roles played by the sensory neurons ADF are related with sensing fluctuations in the environment and are suppressed in our experiments. Consistently, we did not observe a clear phenotype in the mutant lacking ser-5, which has been associated with ADF-dependent feeding 32.
Five serotonin receptors have been previously identified in the worm. These receptors exhibit differential expression patterns and have distinct, sometimes antagonistic roles in different behaviors. With this in mind, we characterized the roles of these receptors in modulation of long pauses and fast pumping in response to food. Both ser-1 and ser-4 worms showed reduced pumping in the presence of food, but for very different reasons: ser-1 worms spent less time in fast pumping than wild-type worms, while the rate of fast pumping of ser-4 worms was slower. As ser-4 seems to have no effect on the duration of individual pumps (Supp. Fig. 5C), ser-4 is likely to be involved in invoking the contraction, rather than relaxation, of pharyngeal muscles. Together, our results suggest that SER-1 receptors are involved in promoting bursts of fast pumping, while SER-4 receptors are involved in establishing their fast rate. In further support of a role for SER-4 in regulation of feeding, it has previously been shown that serotonin-induced pumping is more suppressed in ser-7; ser-4 double mutants than in the ser-7 worms 16, and ser-4 larvae pump significantly slower than wild-type larvae at the L1 stage when supplied with serotonin 18.
Activation of pumping by exogenous serotonin is markedly different from the dynamics induced by food. In the presence of serotonin at constant concentration, we could not observe long pauses that extend beyond a few seconds (Fig S6E), while such pauses and longer were observed in feeding worms in all food concentration (Supp. Fig. 6B). An increased concentration of food induces an increase in average pumping rate and in fast pumping, with complete correlation between the two (Fig. 3E). While serotonin induces both fast pumping and an increase in the average pumping rate, the two were only weakly correlated (Supp. Fig. 6D). Also, the rate of fast pumping induced by exogenous serotonin was slightly lower than that of food-induced pumping (Supp. Fig. 6A). Finally, as noted before, serotonin-induced activation of pumping requires the SER-7 receptors, whose absence has no significant effect on food-driven pumping. Together, our results suggest a model, in which food-driven fast pumping involves the SER-1 receptors, stimulated pumping by exogenous serotonin involves the SER-7 receptors, and both require the SER-4 receptors for maintaining fast pumping close to the physiological limit (Fig. 6F). Interestingly, previous findings show that feeding on bacterial lawns on agar plates, ser-1 and ser-7 mutants pump at an average rate similar to that of wild-type animals, but that their pumping is somewhat more irregular, while ser-1; ser-7 double mutants fail to maintain fast pumping and display reduced pumping rate 16. This suggests a possible role for SER-7 receptors in food-driven bursts of pumping, which in our assay is insignificant in the presence of ser-1.
Serotonin facilitates a sharp response to food availability; in its absence, the feeding rate increases gradually with food concentration (tph-1, Fig. 5A). At OD600=1, for example, wild-type worms pump at 65% of their maximal rate, while tph-1 worms pump at only a quarter of that rate. This suggests that the gain in fitness achieved by uptake of low concentration food exceeds the energetic costs of efficient pumping. In support of this idea, we recently found that stress-related activation by the Insulin/IGF-1 pathway in response to food limitation occurs only at food densities below OD600=1 53. We also note that the average pumping rates of tph-1 mutants were 28% and 52% of the wild-type rates at OD600=1 and 3, respectively, while a previous study found it to be 80% of the wild-type rate in worms feeding on lawns of bacteria on agar plates 32 (Supp. Fig. 5D). Taken together, these results suggest that serotonin regulates feeding rates in a context dependent manner.
Coupling between microfluidics and automated imaging enabled us to collect long-term longitudinal data from a large number of worms at high temporal frequency and in precisely defined environments. With these data we were able to identify the multi-faceted nature of the pumping dynamics, quantitatively link attributes of the environment and of the animal’s behavior, and characterize the distinct roles of serotonergic neurons and serotonin receptors.
In rodents, feeding is organized by bursts of licking, and the increase in feeding following starvation is mainly due to shortening of the interval between bursts (the OFF mode) 54,55. A recent study based on automated imaging of feeding behavior in Drosophila demonstrated a similar behavior in flies 56. Increase in feeding after short-term starvation was achieved by a decrease in the interval between bursts, while a long-term starvation resulted in an increase of the burst length. It is therefore possible that modulation of bursty feeding dynamics is a conserved strategy. In addition, the role of serotonin as a neuromodulator of feeding is conserved from invertebrates to mammals. The approach and tools described in this work, along with the relative simplicity of the worm’s neuronal circuitry and anatomy, open the way to further investigate the dynamics of feeding and the coupling between physiological and molecular processes, neuronal circuitry, and metabolism.
Methods
Strains
All strains were maintained on standard nematode growth medium (NGM) plates seeded with E. coli strain OP50 57 at 15 °C. Adult hermaphrodites were used in all assays. The N2 Bristol strain was used as wild type animals, in addition to the following strains: MT15434 tph-1(mg280)II, INV33006 Ex [tph-1p::TeTx::mcherry unc-122p::gfp], INV30001 Ex [srh-142p::TeTx::mcherry unc-122p::gfp], ZC1890 mgIS71V; yxEx960 [srh-142p::twk-18(cn110)::mcherry; unc-122p::dsred] 46, CX13571 tph-1(mg280)II; kySi56 IV; kyEx4077[srh-142p::nCre], CX13572 tph-1(mg280)II; kySi56 IV; kyEx4057[ceh-2p::nCre], CX13576 tph-1(mg280)II; kySi56 IV; kyEx4107[egl-6p::nCre], CX15658 tph-1(mg280)II; kySi56 IV; kyEx5262 [ceh-2p::nCre, egl-6p::nCre] 30, DA1814 ser-1(ok345)X, AQ866 ser-4(ok512)III, RB2277 ser-5(ok3087)I, DA2100 ser-7(tm1325)X, and RWK3 ser-5;ser-4;mod-1;ser-7 ser-1 47, ERL76 tph-1(mg280)II; kySi56 IV; opyEx18 [ceh-2p::nCre, srh-142p::nCre, myo-3::mCherry], ERL82 tph-1(mg280)II; kySi56 IV; opyEx19 [ceh-2p::nCre, srh-142p::nCre, egl-6p::nCre, myo-3::mCherry].
Imaging pharyngeal pumping dynamics in a microfluidic device
For feeding experiments, an overnight culture of E. coli OP50 grown in LB media was centrifuged and resuspended at the required concentration in S-medium 58. The bacterial solution was filtered through a 5μm syringe filter to remove big aggregates, which could block the flow in the microfluidic device.
Age-synchronized worms were obtained by letting 15~20 gravid adults, incubated at 25 °C for at least a day, lay eggs on a plate for an hour. Adult worms were then removed, and the plates were incubated at 25 °C for 56~60 hours. Worms were mixed into a bacterial solution and loaded into the microfluidic devices (Supp. Fig. 1) as described previously 38.
Bacterial solution was injected into the device at the rate of 10μL/min. To ensure that bacteria do not clog the device, we applied a one-minute pulse of 150μL/min up to 3 times/hour. Data acquisition started 3 hours after feeding the animals at constant food concentration of interest. For the titration experiments (Fig. 5A and Fig. 5B) of strains other than N2, the same set of worms was monitored at multiple conditions, as we decrease the concentrations of food and exogenous serotonin, respectively, step by step, with 30-minutes wait time at each step.
Imaging was done using a Zeiss Axio Observer.Z1 microscope with N-Achroplan 10x objective (NA 0.25), and a Hamamatsu ORCA Flash4.0 camera. Every worm was imaged for 5 minutes at 50 frames/sec at spatial resolution of 0.65μm/pixel. When required, representative worms were recorded for 30 minutes.
Image analysis
To analyze time-lapse images, the position of the grinder was identified in each frame. The difference in the brightness of pixels between every pair of consecutive frames was computed to detect contraction of pharyngeal muscles and subsequent relaxation (Movie S2). We identified the center of mass (CM) of pixels that become darker (marked in red in Fig. 1B and C) and the one of pixels that become brighter (blue). We then calculated the total difference in pixel brightness in an ellipse of constant area around each (Fig. 1C). Peaks in this measure are clear indicators of a rapid change in the pharynx position, either contraction or relaxation. To differentiate the two, we used the fact that the center of mass of the red pixels was posterior (ΔCM < 0) to that of the blue pixels during contraction and anterior (ΔCM > 0) to it during relaxation (Fig. 1D). Comparison of the total difference in brightness with the image background provides a confidence measure. Low confidence events were inspected manually and were either validated or discarded from further analysis.
Supplementary Figure 1. A worm in the microfluidic device. Worms in the device feed on a bacterial suspension that is continuously flown through the chamber. The pillars restrain the worms from escaping while providing enough space for egg laying. Eggs are collected in an egg-collection area.
Supplementary Figure 2. Pumping dynamics depend on food concentrations. (A) Food concentration dependence of average pump duration time (ΔtPD). The bar graph shows average pump duration time (ΔtPD) with standard errors at respective food concentrations. (B) The number of pumps observed since the beginning of the experiment (time 0) for 3 different worms at each of 3 densities (OD600=0.3, 1, and 3), demonstrating the reproducibility of the assay. (C) Comparison of measured pumping counts (dotted curves) with their chord line (i.e. the lines that connect the two end points of the measured curves). The slopes of these chord lines are the average pumping rates
Supplementary Figure 3. Bursts of fast pumping are longer and more frequent at higher food densities. (A) A representative time series of pharyngeal pumping of a wild-type (N2) worm at OD600=1. Each pumping event is indicated by its instantaneous rate, i.e. the inverse of the time interval between that pump and the next. The time series shows long pauses, fast pumping, and pumping at intermediate rates. Blue and red dashed lines indicate the thresholds for fast pumping (250min−1) and long pauses (100min−1), respectively. (B, C) Survival probability of burst duration (B) and the time between bursts (C) at various food concentrations.
Supplementary Figure 4. Serotonin production in HSN and NSM neurons is together necessary and individually sufficient for fast pumping,. (A) F(r), the fraction of time spent in intervals longer than 1/r, at OD600=3. ADF(TeTx): strain in which the tetanus toxin is expressed from an ADF-specific promoter; ADF(twk-18): strain in which the activated form of potassium channel twk-18 is expressed from a ADF-specific promoter; All others: strains in which tph-1 has been removed specifically in the indicated neuron(s) using the Cre/Lox approach. (B) The average fraction of time spent in fast pumping by the same worms at OD600=1, compared to wild-type (N2) worms and tph-1 mutants. Error bars as in Fig. 2.
Supplementary Figure 5. (A) F(r), the fraction of time spent in intervals longer than 1/r by serotonin receptor mutants, at OD600=3. (B) The average fraction of time spent by these worms in fast pumping at OD600=2. Error bars and thresholds as in Fig. 5. (C) Histograms of pump duration (ΔtPD) in ser-4 at various food concentrations (colored curves), compared to wild-type (N2) at OD600=3 (black, dashed). (D) Ratio between the average pumping rate of tph-1 worms and that of N2 worms at various food concentrations. Included for comparison is the same ratio for worms feeding on a lawn of bacteria on agar plates, as measured in 32.
Supplementary Figure 6. Stimulated pumping by exogenous serotonin. (A) F(r), the fraction of time spent by wild-type (N2) worms in intervals longer than 1/r in bacteria-free media supplemented with exogenous serotonin. For comparison, black symbols corresponds to worms feeding on bacteria at OD600=3 with no serotonin added. The dotted vertical lines indicate the last point of the linear segment of F(r), taken as the threshold rate for fast pumping. (B) Zoom-in on the low-rate end of Fig. 3A demonstrates the presence of long pauses at all food concentrations. (C) A representative time series of serotonin-induced pumping, illustrating the suppression of very long pauses. (D) Average pumping rates are plotted against the fraction of fast pumping at different concentrations of serotonin in bacteria-free media. (E) F(r) for wild-type worms and serotonin receptor mutants in bacteria-free media with 5mM serotonin. Zoom-in on the low-rate end demonstrates the suppression of long pauses. (F) Same as in panel (E). Dashed lines are the best-fit lines between 100min−1 and 250min1. Dotted vertical lines as in (A).
Supplementary Movie 1. Time lapse imaging of pharyngeal pumping in the microfluidic device. Images are taken at a rate of 50 frames per second, shown in real time.
Supplementary Movie 2. Motion of the posterior bulb during pumping. The clear contrast between the grinder and its surrounding environment facilitates automatic detection by subtracting consecutive images (red and blue, as in Fig. 1B).
Acknowledgments
We thank Carlos Riberio and Yun Zhang for discussions and Richard Komuniecki, Mark Alkema, Yun Zhang and Cori Bargmann for reagents. This research was supported by the National Science Foundation through grants PHY-1205494 (EL) and IOS-1256989 (DB).