Biological homeostasis invokes modulatory responses aimed at stabilizing internal conditions. Using tunable photo- and mechano-stimulation, we identified two distinct categories of homeostatic responses during the sleep-like state of Caenorhabditis elegans (lethargus). In the presence of weak or no stimuli, extended motion caused a subsequent extension of quiescence. The neuropeptide Y receptor homolog, NPR-1, and an inhibitory neuropeptide known to activate it, FLP-18, were required for this process. In the presence of strong stimuli, the correlations between motion and quiescence were disrupted for several minutes but homeostasis manifested as an overall elevation of the time spent in quiescence. This response to strong stimuli required the function of the DAF-16/FOXO transcription factor in neurons, but not that of NPR-1. Conversely, response to weak stimuli did not require the function of DAF-16/FOXO. These findings suggest that routine homeostatic stabilization of sleep may be distinct from homeostatic compensation following a strong disturbance.https://doi.org/10.7554/eLife.04380.001
The regenerative properties of sleep are required by all animals, with even the simplest animal, the nematode Caenorhabditis elegans, displaying a sleep-like state called lethargus. During development, nematodes must pass through four larval stages en route to adulthood, and the end of each stage is preceded by a period of lethargus lasting 2 to 3 hr.
Human sleep is divided into distinct stages that recur in a prescribed order throughout the night. Nematodes, on the other hand, simply experience alternating periods of activity and stillness as they sleep. Nevertheless, in both species, any disruptions to sleep automatically lead to adjustments of the rest of the sleep cycle to compensate for the disturbance and to ensure that the organism gets an adequate amount of sleep overall.
To date, it has been assumed that a single mechanism is responsible for adjusting the sleep cycle after any disturbance, regardless of its severity. However, Nagy, Tramm, Sanders et al. now show that this is not the case in C. elegans. Sleeping nematodes that were lightly disturbed by exposing them to light or to vibrations—causing them to briefly increase their activity levels—compensated for the disturbance by lengthening their next inactive period. By contrast, worms that were vigorously agitated by stronger vibrations showed a different response: the alternating pattern of stillness and activity was disrupted for several minutes, followed by an overall increase in the length of time spent in the stillness phase.
Experiments using genetically modified worms revealed that these two responses involve distinct molecular pathways. A signaling molecule called neuropeptide Y affects the response to minor sleep disruptions, whereas a transcription factor called DAF-16/FOXO is involved in the corresponding role after major disruptions. Given that neuropeptide Y has already been implicated in sleep regulation in humans and flies, it is not implausible that similar mechanisms may occur in response to disturbances of our own sleep.https://doi.org/10.7554/eLife.04380.002
Sleep architecture—the duration, timing, and order of individual stages of sleep—is derived from a combination of internal timekeeping pathways, a drive towards an appropriate baseline (sleep pressure), and external constraints. Collectively, the use of both mammalian and non-mammalian models has suggested that sleep is phylogenetically ancient and evolutionarily conserved (Campbell and Tobler, 1984; Sehgal and Mignot, 2011; Nelson and Raizen, 2013). The key behavioral hallmarks of sleep are episodic reduced motion, reversibility, typical postures, sensory gating, and homeostasis (Campbell and Tobler, 1984). Generally, the homeostatic drive underlies correlations between the strength and duration of a disruption and the subsequent duration and quality of sleep. Behavioral signatures of homeostasis include faster time-courses of wake-to-sleep transitions, prolonged periods of sleep, and increased arousal thresholds following a period of deprivation that increases sleep pressure (Moses et al., 1975; Tobler, 1983; Hendricks et al., 2000; Allada and Siegel, 2008; Raizen et al., 2008).
The nematode Caenorhabditis elegans is the simplest model organism that has been shown to exhibit a sleep-like state to date (Raizen et al., 2008; Nelson and Raizen, 2013; Cho and Sternberg, 2014). The 2–3 hr period of lethargus, a developmental stage that precedes the termination of each larval stage, is characterized by behavioral quiescence, a cessation of feeding, reduced or delayed responses to external stimuli, a distinct posture, and compensation following deprivation (Van Buskirk and Sternberg, 2007; Raizen et al., 2008; Schwarz et al., 2012; Iwanir et al., 2013; Cho and Sternberg, 2014). The C. elegans homolog of the circadian clock protein PERIOD is required for synchronization of lethargus, and its mRNA levels track the developmental/molting cycle (Jeon et al., 1999; Allada et al., 2001; Tennessen et al., 2006; Monsalve et al., 2011). Additional conserved signaling pathways that exhibit functional similarities in mammalian, insect, and nematode sleep include the epidermal growth factor (EGF) (Kramer et al., 2001; Snodgrass-Belt et al., 2005; Foltenyi et al., 2007; Van Buskirk and Sternberg, 2007; Zimmerman et al., 2008), the cyclic GMP-dependent protein kinase PKG (Van Buskirk and Sternberg, 2007; Raizen et al., 2008; Langmesser et al., 2009), cAMP-dependent signaling (Hendricks et al., 2001; Graves et al., 2003; Raizen et al., 2008), Gs signaling, and genes acting downstream of dopamine signaling (Singh et al., 2014).
Homeostatic regulation within C. elegans lethargus was previously examined by manually depriving the animals of quiescence. After a deprivation period of 30 min during lethargus, the onset of long response latencies to chemical stimuli was accelerated. In addition, mechanical stimulation for 60 min at the time that the onset of lethargus was expected resulted in increased subsequent peak quiescence (Raizen et al., 2008). Recently, quiescent behavior and homeostatic rebound were also seen when a sleep-like state was induced anachronistically in adult animals, suggesting that developmental factors are not essential for neuromodulation during C. elegans sleep (Cho and Sternberg, 2014).
C. elegans can locomote forward or backward by propagating dorsoventral body bends from anterior to posterior or vice versa, respectively. Alternatively, they move in a variety of non-directional manners collectively referred to as dwelling (Gray et al., 2005; von Stetina et al., 2006; Gallagher et al., 2013; Gjorgjieva et al., 2014). During lethargus, C. elegans prominently exhibit quiescence—the complete absence of dynamic muscle contraction. Alternating bouts of locomotion and quiescence comprise the simple architecture of C. elegans sleep (Raizen et al., 2008; Iwanir et al., 2013). In a previous study, we have shown that the durations of these bouts are correlated (Iwanir et al., 2013), but the mechanisms underlying this process of routine stabilization were not examined. In this study, we analyze the behavioral responses of sleeping nematodes under undisturbed, weakly disturbed, and strongly disturbed conditions. To do so, we continuously assayed the locomotion of C. elegans from the mid fourth intermolt stage (L4int), through the fourth lethargus stage (L4leth), and into the mid young adult stage (YA).
We found that weak photo- or mechano-stimulation transiently skewed the dynamics of bouts while preserving the characteristic pairwise correlations. Thus, under unperturbed or weakly perturbed conditions, homeostatic compensation manifested as a transient extension of quiescence bouts (and shortening of motion bouts under some conditions) in response to prolonged motion. This form of compensation under low noise conditions, termed micro-homeostasis (Iwanir et al., 2013; Nelson and Raizen, 2013), required the function of the neuropeptide Y (NPY) receptor homolog, NPR-1.
In contrast, strong stimuli induced a qualitatively different homeostatic response: the animals moved continuously for several minutes, after which quiescence monotonically returned to its baseline level. Compensation for the motion induced by a strong stimulus manifested as an upshift in the baseline fraction of time spent in quiescence, rather than a transient extension of quiescence bouts. The homeostatic responses to strong stimuli required the function of the DAF-16/FOXO in neurons (see also Driver et al., 2013) but not the function of NPR-1. Conversely, micro-homeostasis was not abolished in daf-16 mutants.
In addition, we show that neuropeptidergic signaling is not strictly required for maintaining high levels of mean quiescence during lethargus. The loss of function of UNC-31/CAPS, a calcium-dependent activator protein required for dense core vesicle exocytosis (Avery et al., 1993; Charlie et al., 2006), resulted in a minor reduction of overall quiescence. In contrast, quiescence was strongly suppressed by the loss of the subsets of mature neuropeptides that were processed by the EGL-3 proprotein convertase or the EGL-21 carboxypeptidase E (CPE) (Kass et al., 2001; Jacob and Kaplan, 2003; Husson et al., 2006, 2007). As previously suggested (Stawicki et al., 2013), this apparent discrepancy can be resolved: collectively, our data indicate that a balance between inhibitory and excitatory contributions from different peptides modulates the duration of bouts of quiescence.
Our findings support a model in which locomotion during lethargus is coupled to a measure of increased sleep pressure. Quiescence serves to ameliorate this pressure and homeostatic regulation dynamically maintains an appropriate quiescence baseline. Interestingly, the homeostatic routine stabilization of motion and quiescence in low-noise environments is mechanistically distinct from homeostatic responses following strong, stressful, disruptions. To our knowledge, the analysis presented here is the first to identify this distinction.
Homeostatic regulation of lethargus was previously examined using manually delivered strong mechanical stimuli, after which baseline levels of responsiveness were regained in 4 min (Raizen et al., 2008). However, even undisturbed animals compensate for spontaneous prolonged motion with prolonged quiescence during lethargus (Iwanir et al., 2013). Therefore, a mechanism that dynamically stabilizes lethargus behavior may be invoked by motion in quiet or weakly noisy environments. If so, weak stimuli should transiently skew the bout architecture by elongating motion bouts and causing a subsequent (compensatory) extension of quiescence bouts. To test this, we first exposed wild-type animals at the fourth intermolt larval stage, L4int, to pulses of blue light of intensities ranging from 0.3–100 mW/cm2 and measured their responses using the frame subtraction method. In brief, this method consists of digitally recording the behavior of the animals and assessing the levels of motion and quiescence based on the number of pixels that change their brightness between consecutive frames (see Nagy et al., 2014). The observed responses depended on the light intensity and the duration of the stimulus, and we determined that a 15 s pulse of light at an intensity of 20–40 mW/cm2 evoked weak, reproducible responses (Figure 1—figure supplements 1,2). Interestingly, we noted that 5 s pulses failed to produce a sharp response specifically during lethargus. This suggested that the animals were less responsive during lethargus and that reduced responsiveness could be assayed separately from delayed responsiveness (Raizen et al., 2008).
The response of L4int larvae and post lethargus young adult (YA) animals to weak blue light stimuli consisted of elevated levels of locomotion, which persisted for 15–25 s after the end of the pulse, followed by a 2 min decline back to baseline locomotion levels. In contrast, during L4leth the average level of locomotion crossed its baseline 1 min after it peaked, proceeded to fall below it for 2–3 additional min (p < 0.01), and only then stabilized at baseline levels (Figure 1A). The transient trough in locomotion resulted from an increase in the fraction of time the animals were quiescent rather than from slower motion (Figure 1B).
The presence of a weak light stimulus terminated bouts of quiescence prematurely and extended bouts of motion (Figure 1C, p < 0.01 in both cases). Identical responses were observed whether the onset of the stimulus interrupted a bout of quiescence or motion (Figure 1—figure supplement 3). The increase in the fraction of time spent in quiescence after the stimulus was removed could have been caused by an extension of quiescence bouts, shortening of motion bouts, or both. To distinguish between these possibilities, we turned to an accurate and computationally intensive behavioral analysis. This previously described approach was based on continuous measurements of the dynamics of body posture at high temporal and spatial resolutions (Iwanir et al., 2013; Nagy et al., 2014). Using this analysis and a 15 s weak light stimulus, we measured the durations of bouts of motion and quiescence after the stimulus was turned off. We found that, during the first half of lethargus, the compensatory response was comprised of an increase and a decrease in the durations of quiescence and motion bouts, respectively (Figure 1D, p < 0.01). During the second half of lethargus, a compensatory increase in the durations of quiescence bouts was still observed. Taken together, these findings revealed that motion during non- or weakly-interrupted lethargus, but not during the L4int or YA stages, caused a compensatory transient increase in quiescence.
Posture-based analysis allowed for improved measurements of pairwise correlations between durations of bouts of motion and subsequent bouts of quiescence in undisturbed animals (Figure 2A, R = 0.47 ± 0.03, p < 0.001) (Iwanir et al., 2013). This approach revealed that these correlations gradually decayed as lethargus progressed (Figure 2A). Moreover, it enabled us to compare groups of motion bouts that contained different qualities of motion despite having similar overall durations. We could thus address the question of whether vigorous or directed motion in and of itself might affect the subsequent bout of quiescence.
To compare between groups of motion bouts of equal durations, we binned the bouts recorded during the first 90 min of L4leth of non-stimulated wild-type animals in 2 s wide bins. For each bin, we calculated the median vigor of locomotion as measured by the rate of change of body-curvature (Figure 2B, left panel). The motion bouts (from each bin) were then separated into two groups: those exhibiting higher-than-median or lower-than-median vigor with respect to their bin of origin. Each of the two groups therefore contained bouts of all durations and, importantly, the average duration of a motion bout was the same in both groups (Figure 2B, middle panel). Having controlled for the mere durations, we found a significant effect of the level of locomotion on the duration of the subsequent quiescence bout (Figure 2B, right panel). A similar analysis, performed exclusively on bouts that contained directed motion, considered the separation between the two groups based on the fraction of the bout spent in directed motion and produced similar results (Figure 2C). We thus conclude that enhanced or directed locomotion during a bout of a given duration positively affects subsequent quiescence.
Dwelling behavior during a motion bout appears similar to dwelling behavior outside of lethargus. However, although locomotory responses were shown to be delayed during lethargus (Raizen et al., 2008; Cho and Sternberg, 2014), they were not previously examined in detail. We asked whether responses to a weak stimulus during a bout of motion were distinct from responses during a bout of quiescence, from responses outside of lethargus, or from both.
To examine behavioral responses to external perturbations throughout this study, we used a recurrent stimulus assay: animals were repeatedly exposed to a stimulation regime of brief, widely spaced, photo- or mechano-stimuli. The duration of each individual stimulus was 0.4 or 15 s, depending on the type of assay, and the spacing between consecutive stimuli was 15 min. Animals were continuously assayed for 10 hr from the L4int stage to the mid YA stage. A diagram outlining the design of these assays is depicted in Figure 3A. Since multiple 15-min cycles were aligned and averaged, the resulting data had periodic boundaries. For instance, the same 1-min period could be referred to as the 15th minute after the stimulus or the 1 min just prior to the stimulus (see Figure 3—figure supplement 1).
In our hands, during lethargus, the transient changes in behavioral dynamics that constituted the short-term response to a stimulus were limited to a period of 3 min immediately following stimulation. After this short-term response was complete, behavioral dynamics returned to a steady state characteristic of the conditions of the experiment. Consequently, baseline behavior for each set of experimental conditions was defined as the steady state measured during a 5 min period starting 10 min after a stimulus and 5 min prior to the subsequent stimulus (labeled explicitly in Figure 3A and Figure 3—figure supplement 1, and depicted as t = −5…0 min in subsequent panels).
Outside of lethargus, the onset of a weak light stimulus evoked a sharp rise in the propensity for forward locomotion, while backward locomotion was suppressed (L4int) or unchanged (YA). From the time of the offset of the stimulus, forward locomotion monotonically declined and reversals returned to baseline levels (L4int) or were briefly elevated (YA). The probability of forward locomotion decayed to its baseline value in 3 min as the baseline balance between directed motion and dwelling was re-established (Figure 3B left and right panels).
During L4leth, the onset of the stimulus evoked a sharp rise in the propensities for both forward and backward locomotion. The offset of the stimulus did not reverse the increasing propensity for moving forward. Rather, forward locomotion persisted for 20 s after the light was turned off and subsequently fell below its steady state value while quiescence levels exceeded their baseline (Figure 3B middle panel). Similar features were observed for responses throughout L4leth (Figure 3C), and regardless of whether the onset of the stimulus occurred during a motion or a quiescence bout (data not shown). Thus, responses to weak stimuli revealed similar locomotory responses during bouts of motion and quiescence and differentiated both types of bouts from the L4int and YA stages.
The compensatory extension of quiescence bouts after a weak light stimulus was distinct from previously reported responses to manually delivered strong mechanical stimuli (Raizen et al., 2008; Driver et al., 2013). To test whether the modulation of bout duration was specifically evoked by light, we assayed animals that were exposed to a mechanical stimulus: vibrations at a frequency of 1 kHz (Nagy et al., 2014). The strength of the stimulus was tuned by varying its duration. Outside lethargus, a 0.4 s stimulus elicited a transient increase in reversals followed by a brief enhancement of the propensity for forward locomotion, while a 15 s stimulus elicited a similar initial recoil followed by an enhancement of forward locomotion that lasted for 10 min (Figure 4A,B, left). We thus refer to the short stimulus as weak and the longer stimulus as strong.
During L4leth, weak mechanical stimuli induced transient backward locomotion, followed by enhanced quiescence. Specifically, the first bout of quiescence after the recoil was elongated, and the architecture of locomotion and quiescence returned to baseline 1 min after the stimulus was delivered (Figure 4A, right). In contrast, the strong stimulus disrupted the architecture of behavior during lethargus: it was followed by several minutes of enhanced motion and a monotonous relaxation to baseline quiescence levels. Upon return to baseline, quiescence bouts were not transiently extended such that a peak in quiescence was not observed. However, compensation took on a different form: the overall level of baseline quiescence was elevated (Figure 4B,C). This overall elevation of quiescence was consistent with previously reported compensation after strong stimulation (Raizen et al., 2008; Driver et al., 2013). These results suggested that there were two regimes of disruption and compensation. Weak perturbations resulted in a transient modulation of bout durations that did not disrupt (and could even enhance) the characteristic correlations of the bouts architecture. In contrast, a strong perturbation abrogated the routine dynamics of bouts for several minutes and increased the baseline fraction of quiescence thereafter.
Neuropeptide Y (NPY) and its receptors have been implicated in the regulation of sleep (albeit in different manners) in humans, rats, fruit flies, and nematodes (Antonijevic et al., 2000; Tóth et al., 2007; Dyzma et al., 2010; Van den Pol, 2012; Choi et al., 2013; Nagy et al., 2014). To test their role in mediating micro-homeostasis, we assayed animals carrying two mutant alleles of the C. elegans NPY receptor homolog gene, npr-1. In our hands, overall quiescence in animals carrying the npr-1(ky13) allele, a glutamine to ochre nonsense mutation at codon 61, was only mildly different from wild-type (Nagy et al., 2014). However, bout correlations in these mutants were significantly reduced. The npr-1(ad609) allele induced similarly reduced bout correlations and a more pronounced defect in the durations of quiescence bouts throughout lethargus (Figure 5A).
We next assayed the responses of npr-1 mutants to weak blue light stimuli. Using the frame subtraction method, we could not detect significant compensation following the excess motion induced by the stimulus in either of the two mutant strains (Figure 5B). The posture-based analysis confirmed their severe defect in modulation of bout durations (Figure 5C,D). The overall activity and, in particular, the initial response of npr-1 mutants to the weak stimulus were similar to wild-type. This indicated that the mutants were not defective in sensing the stimulus or in their locomotory capabilities but specifically in their ability to compensate for a weak disturbance. In contrast, npr-1 mutants exhibited wild-type-like compensation following strong mechanical stimuli: when animals carrying either of the two mutant alleles were exposed to a strong mechanical stimulus, their baseline fraction of quiescence was elevated as compared to non stimulated or weakly stimulated animals (Figure 5E). Thus, in addition to the phenotypic differences described above, homeostatic compensation during undisturbed or weakly disturbed lethargus was affected by NPR-1, while homeostatic compensation for strong stimuli was not. We concluded that the routine stabilization of lethargus behavior in low-noise environments and the homeostatic compensation for stressful disturbances were mechanistically separable. These findings are consistent with a model in which NPR-1 modulates quiescence during lethargus in response to spontaneous or induced mild variations in locomotion.
NPR-1 is a predicted neuropeptide receptor and the FMRFamide-like neuropeptides encoded by flp-18 and flp-21 were shown to be two of its ligands. (De Bono and Bargmann, 1998; Kubiak et al., 2003; Rogers et al., 2003; Kim and Li, 2004). We therefore asked whether peptidergic release from dense core vesicles (DCVs) was required for micro-homeostasis. To answer this question, we assayed the loss of function of UNC-31, the sole C. elegans ortholog of mammalian calcium-dependent activator protein for secretion (CAPS) required for DCV exocytosis (Avery et al., 1993; Charlie et al., 2006). To confirm that the observed phenotype was explained by the mutation of interest, we tested a strong loss of function allele, unc-31(e169), and a putative null allele, unc-31(e928), (Charlie et al., 2006; Speese et al., 2007).
Under undisturbed conditions, the quiescence bouts of unc-31 mutants were shorter than wild-type, but the overall amount of quiescence was only weakly reduced in these mutants (Figure 6A,B). Moreover, unc-31 mutants did not exhibit paralysis or anachronistic quiescence outside of lethargus and their overall locomotory behavior during lethargus was similar to wild-type (Nagy et al., 2013 and data not shown). Nevertheless, pairwise correlations between subsequent bouts in these mutants were abolished (Figure 6B). This could indicate that the absence of a group of functional neuropeptides impaired the dynamic extension of quiescence bouts in response to variations in durations and compositions of motion bouts. Alternatively, the quiescence bouts of unc-31 mutants may be too short to sustain detectable correlations. We favor the first explanation for two reasons. First, the Hawaiian strain (a wild isolate of C. elegans) exhibited quiescence bouts that were comparable in duration to those of unc-31 mutants but nevertheless maintained wild-type correlations during minutes 45–120 from the onset of L4leth (Figure 6—figure supplements 1,2). Second, when bout pairs containing longer quiescence bouts were excluded from the wild-type dataset, such that the mean duration of the remaining quiescence bouts equaled that of unc-31 mutants, the pairwise correlation between the remaining bouts was reduced to R = 0.2 ± 0.03, but not abolished.
We next assayed the responses of unc-31 mutants to weak (light) stimuli. Animals carrying the unc-31(e928) null mutation, as well as animals carrying the unc-31(e169) loss of function mutation, exhibited a diminished ability to prolong quiescence bouts in response to prolonged motion. The stronger defect was observed in unc-31(e928) mutants (Figure 6C,D). Collectively, these findings suggest that peptidergic signaling plays a key role in regulating micro-homeostasis.
In addition to unc-31, we assayed mutants in which neuropeptide processing was disrupted due to the loss of function of: (i) the proprotein convertase required for preprocessing of many, but not all, neuropeptides, EGL-3 (Kass et al., 2001; Husson et al., 2006), or (ii) the carboxypeptidase E (CPE) required to complete the processing of the majority of non insulin-like neuropeptides, EGL-21 (Jacob and Kaplan, 2003; Husson et al., 2007). Consistent with previous reports (Turek et al., 2013), overall quiescence during lethargus was significantly reduced in egl-3 mutants, individual quiescence bouts were very short, and (as expected) correlations between bout durations were abolished. The loss of function of EGL-21 resulted in an identical phenotype, demonstrating that the phenotype was caused by the mutations of interest (Figure 6A,B). These results stood in contrast to the mild change in overall quiescence observed in unc-31 mutants, and this apparent discrepancy is discussed below.
The FMRFamide-related neuropeptides FLP-18 and FLP-21 were shown to be ligands of NPR-1, as well as two additional receptors (Rogers et al., 2003; Cohen et al., 2009). In addition, FLP-18 (but not FLP-21) was shown to act synergistically, in an inhibitory fashion, in the homeostatic response to motoneuron imbalance (see discussion and Stawicki et al., 2013). In our hands, flp-21 mutants did not exhibit defective micro-homeostasis. We used posture analysis to assay unperturbed flp-18(gk3036) mutants and the frame subtraction method to assay flp-18(gk3036) and flp-18(db99) mutants in the presence of weak perturbations (Cohen et al., 2009). The overall quiescence fraction and the durations of quiescence bouts of flp-18 mutants were comparable to those of npr-1 mutants (Figure 7A and data not shown). However, the correlations between subsequent bouts in undisturbed flp-18(gk3036) mutants were intermediate between the wild-type and npr-1 values: 0.33 ± 0.06, 0.47 ± 0.03, and 0.20 ± 0.07, respectively (p < 0.05, Figure 7B). When stimulated with blue light, both flp-18 alleles were associated with defective compensatory responses, and the defect was more pronounced in flp-18(db99) mutants (Figure 7C,D).
If FLP-18 plays a role in micro-homeostasis then its production, secretion, or both may be temporally correlated with lethargus. To test this, we examined the temporal dynamics of expression during the L4int and L4leth stages of the Pflp-18::flp-18::SL2::gfp reporter, which contains the upstream promoter region and the entire genomic locus of flp-18 (Cohen et al., 2009; Stawicki et al., 2013). As previously reported, expression was observed in several head and ventral cord (VC) neurons. We measured the total GFP fluorescence in head or VC neurons separately. Expression in head neurons was constant prior to the onset of and during L4leth (Figure 7—figure supplement 1). Surprisingly, the reporter expression in VC neurons differed between two sub-populations of animals. When low levels of fluorescence were initially detected during L4int, reporter fluorescence was enhanced more than twofold during the first half of L4leth. In contrast, initially high fluorescence levels were not further enhanced. Expression levels of the reporter in the VC neurons of the two sub-populations were similar during the second half of L4leth (Figure 7—figure supplement 1). The absence of a peak in fluorescence during lethargus in the initially strongly fluorescent sub-population may have resulted from non-physiological effects of overexpression. Alternatively, it may be the case that the shift in flp-18 expression or secretion can precede the onset of lethargus or be conditioned on ambient levels during late L4int.
Since Pflp-18::flp-18::SL2::gfp expression peaked during the first half of lethargus, we examined the timing of the defect in bout correlations in flp-18 mutants with respect to the onset of lethargus. The positive pairwise bout correlations in flp-18 mutants were found to be smaller than wild-type during the first hour of lethargus, but not during the second hour, corresponding to the observed period of upregulation in expression of the reporter (Figure 7—figure supplement 2). Collectively, these findings suggest that both FLP-18 and its known receptor, NPR-1, regulate micro-homeostasis during lethargus.
Prolonged and stressful deprivation of quiescence during lethargus causes the translocation of DAF-16, a FOXO transcription factor that activates stress responses, into the nucleus. Moreover, daf-16 mutants were shown to be defective in their behavioral response to prolonged deprivation (Lin et al., 1997; Henderson and Johnson, 2001; Driver et al., 2013). Although micro-homeostasis responses occur on a timescale that is too short to be regulated by changes in transcription, repeated weak stimuli may still be stressful. To test the roles of DAF-16 in regulating homeostasis during lethargus, we assayed daf-16(mu86) (Libina et al., 2003) mutants under no-, weak-, and strong-stimulus conditions. These mutants were similar to wild-type in their total fraction of quiescence, their initial responses to weak stimuli and subsequent compensation, their responses outside of lethargus to weak and to strong stimuli, and their initial responses during lethargus to strong stimuli. When not disturbed, the quiescence bouts of daf-16 mutants were shorter than wild-type (data not shown) and their pairwise correlations between subsequent bouts were smaller, but not abolished (Figure 8A–C). A second mutant allele, daf-16(mgDf50) (Ogg et al., 1997), exhibited similar behavior under unstimulated conditions (data not shown). Thus, micro-homeostasis during C. elegans lethargus was mostly independent of DAF-16/FOXO signaling.
In contrast, the homeostatic compensation in our strong stimulus assay was completely abolished in both daf-16 mutants (Figure 8D). To test where the function of daf-16 was required, the function of daf-16 was rescued under the control of the daf-16 native promoter (Pdaf-16), a pan-neuronal promoter (Punc-119), and a body-wall muscle promoter (Pmyo-3) (Driver et al., 2013). Homeostatic compensation for strong disturbances was restored when daf-16 was expressed under its native promoter or in neurons, but not in muscles (Figure 7D). These findings differ from the reported role of DAF-16 in sleep homeostasis, assayed using response latencies to a noxious chemical, where rescue in muscles but not in neurons restored wild-type-like latencies (Driver et al., 2013). However, adult locomotion quiescence in daf-2 mutants (an insulin/IGF-1 receptor homolog) was dependent on the function of DAF-16 in neurons (Gaglia and Kenyon, 2009). Thus, DAF-16 may act in multiple tissues to regulate different aspects of the homeostatic response in C. elegans sleep.
We noted that the baseline level of quiescence in undisturbed animals varied between the different transgenic strains (Figure 8D). Broad expression of a rescue gene, or even a fluorescent reporter, often results in subtle changes in locomotion and quiescence that our assays are able to detect. Nevertheless, the data raised the possibility of a ceiling effect for quiescence in these experiments. Two observations suggest that, plausibly, this is not the case: (i) similar differences in undisturbed baseline quiescence were observed between the two npr-1 mutant alleles, yet both strains exhibited compensation for strong stimuli (Figure 5E); and (ii) undisturbed baseline quiescence in all daf-16 strains was similar to npr-1(ky13) mutants and lower than wild-type. Therefore, we favor the interpretation that the function of DAF-16 was required in neurons in our assays. Importantly, the opposing phenotypes of npr-1 and daf-16 mutants show that micro-homeostasis, routinely used to stabilize bout architecture in weakly noisy environments, is genetically distinct from the homeostatic responses that strong and stressful disturbances invoke.
Using tunable photo- and mechano-stimulation, we have identified two distinct categories of disruptions to C. elegans sleep and characterized the corresponding responses. We have shown that during lethargus, motion plays a causal role in modulating the duration of subsequent quiescence. Under low noise conditions, micro-homeostasis manifested as a dependence of the duration of quiescence bouts on the duration and nature of recently preceding motion. The dynamic extension of quiescence bouts depended on the function of an NPY receptor-like protein (NPR-1). However, this did not require DAF-16/FOXO, perhaps because transcriptional level control is typically too slow to respond dynamically on timescales of 10s of seconds (Yosef and Regev, 2011). Since biological mechanisms naturally function in a continuous range of conditions, it was both expected and observed that similar mechanisms regulated the compensatory responses in the presence of weak or no stimuli. However, homeostasis in the presence of strong stimuli was behaviorally and mechanistically distinct. A strong disturbance resulted in the temporary disruption of normal bout dynamics followed by a compensatory upshift of baseline levels of quiescence. These responses did require the function of DAF-16/FOXO but not of NPR-1.
Neuropeptides have been proposed to regulate quiescence during lethargus, but their roles were not examined in detail (Van Buskirk and Sternberg, 2007; Van Buskirk and Sternberg, 2010; Nelson et al., 2013; Turek et al., 2013). The apparent discrepancy between the quiescence phenotypes of egl-3/egl-21 and unc-31 mutants resembles their seemingly contradicting roles in homeostatically ameliorating convulsions caused by cholinergic overexcitation and can be similarly rationalized (Stawicki et al., 2013). The mature neuropeptides processed by EGL-3 and EGL-21 are but a subset of the components of dense core vesicles, such that excitatory and inhibitory neuropeptides could act in a combinatorial manner to affect quiescence.
Resuming sleep after a strong or a mild disruption are both common experiences. Subjectively, the two are easily distinguishable, and in both cases the resulting changes to the architecture of sleep reflect homeostatic regulation. Broadly, homeostatic control ensuring adequate sleep amount and quality is a key criterion for sleep-like states (Tobler, 1983; Campbell and Tobler, 1984; Sehgal and Mignot, 2011; Nelson and Raizen, 2013; Tononi and Cirelli, 2014). Homeostasis in mammalian sleep can be readily observed under disturbed or undisturbed conditions. For instance, the spectral power density associated with slow wave sleep (in the 0.75–4.0 Hz range) decays exponentially during an undisturbed sleep period, while extending the duration of wakefulness enhances it (Franken et al., 1991; Kecklund and Åkerstedt, 1992). Nevertheless, the sleep literature generally regards sleep homeostasis as a single mechanism (Borbély, 1982; Daan et al., 1984; Hendricks et al., 2000; Saper et al., 2005; Andretic et al., 2008; Mackiewicz et al., 2008; Cirelli, 2009; Crocker and Sehgal, 2010; Wang et al., 2011; Brown et al., 2012; Nelson and Raizen, 2013; Porkka-Heiskanen, 2013). To our knowledge, responses to weak disturbances to sleep were not previously carefully analyzed, and the distinction between routine stabilization and compensation for stressful agitation was not examined in detail.
Despite recent findings in genetically tractable invertebrate models, the understanding of mechanisms that regulate sleep homeostasis remains incomplete (Andretic et al., 2008; Cirelli, 2009; Sehgal and Mignot, 2011; Driver et al., 2013; Shi et al., 2014). NPY was implicated in the regulation of sleep in humans, rats, fruit flies, and nematodes (Antonijevic et al., 2000; Tóth et al., 2007; Dyzma et al., 2010; Van den Pol, 2012; Choi et al., 2013; He et al., 2013; Nagy et al., 2014). In C. elegans, the NPY receptor homolog NPR-1 affects a range of responses to external stimuli, as well as innate behaviors such as social feeding and quiescence (De Bono and Bargmann, 1998; De Bono et al., 2002; Davies et al., 2004; Chang et al., 2006; Macosko et al., 2009; McGrath et al., 2009; Choi et al., 2013; Nagy et al., 2014). Interestingly, NPR-1 was found to play a major role in both lethargus micro-homeostasis (this study) and the homeostatic response to a motoneuron imbalance. In the latter case, NPR-1 was required to compensate for cholinergic overexcitation and GABAergic inhibition that were caused by a gain-of-function in a neuronal nicotinic acetylcholine receptor (Stawicki et al., 2013). We hypothesize that these two types of homeostatic responses are closely linked, and further studies will be required to conclusively determine if this is the case.
Recent years have seen a rise in the appreciation of the importance and abundance of peptidergic modulation of neuronal function (Li and Kim, 2008; Bargmann, 2012; Marder, 2012; Taghert and Nitabach, 2012; Holden-Dye and Walker, 2013). In C. elegans, peptidergic regulation was shown to affect quiescence during lethargus (Nelson et al., 2013; Turek et al., 2013). The apparent discrepancy between the phenotypes of egl-3/egl-21 and unc-31 mutants suggests that quiescence may be regulated by the combinatorial action of excitatory and inhibitory neuropeptides and that this combinatorial regulation promotes responsive bout dynamics. Our findings are consistent with a model in which activity during lethargus generates a ‘pressure’ which is ameliorated during periods of quiescence. A particular balance of inhibitory and excitatory neuropeptides may be required for keeping a record of and/or for the process of alleviating this pressure.
Finally, responses to external stimuli during lethargus were different from responses during the L4int and YA stages. In contrast, responses were similar whether the onset of the stimulus coincided with quiescence or motion during lethargus. This suggests that bouts of motion are not analogous to brief intervals of wakefulness. Rather, C. elegans sleep may progress through two alternating micro-states.
C. elegans strains were maintained and grown according to standard protocols (Brenner, 1974). The following strains were used: wild-type strain N2, Hawaiian CB4856, CB169 unc-31(e169), CB928 unc-31(e928), CX4148 npr-1(ky13), DA609 npr-1(ad609), MT1541 egl-3(n729), MT1241 egl-21(n611), CF1038 daf-16(mu86), GR1307 daf-16(mgDf50), NQ440 daf-16(mgDf50); qnIs42[Punc-119::GFP::daf-16; Pmyo-2::mCherry], NQ441 daf-16(mgDf50); qnIs45[Pdaf-16::GFP::daf-16; Pmyo-2::mCherry], NQ145 daf-16(mgDf50); qnEx38[Pmyo-3::GFP::daf-16; Pmyo-2:mCherry], VC2016 flp-18(gk3063), AX1410 flp-18(db99), AX1444 dbIs[Pflp-18::flp-18::sl2::gfp].
Motion and quiescence were identified using previously described methods (Nagy et al., 2014). Briefly, animals were grown at 20°C on standard NGM plates seeded with Escherichi coli OP50 bacteria. Mid to late L4 individuals were sealed into individual ‘artificial dirt’ chambers filled with an overnight OP50 culture concentrated 10-fold and resuspended in NGM medium (Singh et al., 2011). Animals were imaged at 2 frames per second at a 1.2× magnification for frame subtraction experiments or 10 frames per second at a 4.2× magnification for posture-based analysis using a CCD camera (Prosilica GC2450, Allied Vision Technologies, Stadtroda, Germany). Motion and quiescence were determined as previously described (Iwanir et al., 2013; Nagy et al., 2014). Frame subtraction data were obtained from the raw images using custom Matlab script (Mathworks Inc., Natick MA) and quiescence was scored when no pixel changed its greyscale value beyond a threshold value (Husson et al., 2007) between consecutive frames.
The precise analysis of animal behavior, based on the identification of the body posture, required high spatial and temporal resolution data. Image analysis and secondary data analysis were performed as previously described using a custom suite of machine vision tools, called PyCelegans, and custom Matlab scripts, respectively (Nagy et al., 2013, 2014). In brief, we identified the body midline in each frame, as well as the positions of the head and the tail. Each midline was divided into 20 equal intervals and the dynamics of the angles between these intervals were used to identify quiescence and directed locomotion states. The onset of lethargus was identified by visual inspection of quiescence data. We note that typical C. elegans behavioral assays provide a throughput of 100–1000 animals per day. In contrast, the detailed and computationally intensive posture-based analysis produced a detailed and an accurate account of behavior over 10 hr at a throughput of 3–5 animals per day.
Blue light (λ = 475 ± 15 nm) was supplied by a Luxeon Star 7-LED assembly with a diffused optic array driven by a 700 mA FlexBlock driver. The LED assembly was mounted to the scopes approximately 7 cm from the sample location. Light intensity was measured at the location of the animals. The timing of light stimuli was controlled using LabView (National Instruments Inc., Austin TX). Mechanical stimuli were generated using 50 mm piezo buzzer elements (Digikey part no. 668-1190-ND) as previously described (Nagy et al., 2014). The timing and duration of the stimuli were controlled using a custom Matlab script. An external stimulus was provided every 15 min throughout the course of each experiment. Animals resumed baseline behavior dynamics after no more than 5 min after each individual stimuli and no habituation was observed in the responses to the repeated stimuli.
The Pflp-18::flp-18::SL2::gfp reporter strain was a kind gift from the de Bono lab (Cohen et al., 2009). Late L4int larvae were placed in an artificial dirt microfluidic device filled with an overnight OP50 culture concentrated 10-fold and resuspended in NGM medium (Lockery et al., 2008). Epi-fluorescence images of the freely behaving animals were acquired for 5 s every 15 min, for 8–9 hr, at a magnification of 20× and a frame rate of 4 frames per second. Regions of interest containing the neurons were identified by visual inspection. Fluorescence was quantified as the sum of pixel intensities that were higher than one standard deviation above the mean of the background pixel intensity. The background was calculated from a region of the body of the animal that was proximal to the neuron of interest but did not contain it. Under these conditions, no photo-bleaching was detected.
Data analysis was performed using custom Matlab (Mathworks Inc., Natick, MA) scripts. For comparisons in summary statistics panels, significance was calculated using a one-way ANOVA test. Post-hoc correction for multiple comparisons was performed using the Bonferroni adjustment. Correlation coefficients are presented with 95% confidence intervals (Matlab statistical toolbox). Corresponding p-values are the probabilities of obtaining the observed correlation by chance, when the true correlation is zero. To graphically demonstrate pairwise correlations between durations of bouts in Figures 1E, 4B, 6A, and 7C, we grouped all bouts of motion in order of ascending duration in bins of 2 s and used a linear fit as a guide for the eye. The correlation coefficients were calculated using the original pairs of bout durations (as opposed to the binned data). Bout correlations of wild-type animals, flp-18 mutants, and npr-1 mutants during the period 15–90 min from the onset of L4leth were compared by applying Fisher's z-transformation and calculating the 95% confidence interval for the difference of the correlation coefficients as described in Zou (2007).
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Ronald L CalabreseReviewing Editor; Emory University, United States
eLife posts the editorial decision letter and author response on a selection of the published articles (subject to the approval of the authors). An edited version of the letter sent to the authors after peer review is shown, indicating the substantive concerns or comments; minor concerns are not usually shown. Reviewers have the opportunity to discuss the decision before the letter is sent (see review process). Similarly, the author response typically shows only responses to the major concerns raised by the reviewers.
Thank you for sending your work entitled “Homeostasis in C. elegans sleep is characterized by two behaviorally and genetically distinct mechanisms” for consideration at eLife. Your article has been favorably evaluated by Eve Marder (Senior editor) and 3 reviewers, one of whom, Ronald L Calabrese, is a member of our Board of Reviewing Editors.
The Reviewing editor and the other reviewers discussed their comments before we reached this decision, and the Reviewing editor has assembled the following comments to help you prepare a revised submission.
The authors present a behavioral analysis of homeostasis during the sleep-like state of lethargus in C. elegans. They find two distinct levels of homeostasis separable phenomenologically by the response to disturbing stimuli. Micro-homeostasis occurs in undisturbed or weakly disturbed (stimulated) animals and homeostasis occurs in strongly disturbed (stimulated) animals. The behavioral data set is extensive and thorough and for the main part the data are appropriately interpreted. They then begin to differentiate between these two forms of homeostasis genetically. While some of these genetic data are essential to differentiate the responses there needs to be a rescue experiment to increase certainty of the specificity of the flp-18 mutant response and some of the other genetic data should be deleted as too preliminary (expression experiment for flp-18 and unc-31, dgk-1, and goa-1 mutant analyses). The authors should be aware that eLife has Advances, so that an additional part of the story that takes it to the next step (e.g., a more in depth mutant analysis) could be linked to this paper, if it is accepted by eLife.
In revision the authors should focus on the following:
1) The three reviewers agree that the observation in C. elegans of two homeostatic mechanisms in sleep disturbance is a significant advance as homeostasis is generally regarded as one mechanism in the mammalian sleep literature. This should be shored up by attention more generally to the sleep literature in the Discussion.
2) The paper is not written for a general audience of educated biologists. It is filled with undefined acronyms and abbreviations and with the jargon of C. elegans. Make sure to define all terms, e.g. YA, L4int etc. The Results section is especially overly terse; please explain the sophisticated behavioral analyses more thoroughly, adding additional explanatory figures if necessary.
3) The reviewers agree that the authors are far from establishing mechanisms for either type of homeostatic response. What is important about the genetic experiments is their use to show that the two responses are controlled differently: this is a novel notion with relevance to other animals. The analysis aimed at mechanisms (e.g. flp-18 reporter expression, g-protein pathway analysis) is generally weak and a distraction from the above punch line. Some aspects of flp-18 genetic should remain, i.e. mutant analysis, but this needs to be shored up with rescue experiments. The flp-18 strain used, VC2016 is a heavily mutagenized strain carrying multiple mutations. There is a strain (AX1444) carrying a wild-type flp-18 transgene, which you could use for a rescue experiment. The flp-18 expression analysis is weak and should be removed. The unc-31, dgk-1, and goa-1 analyses are incomplete and should be deleted.
4) We are also concerned that the conclusions go too far based on the current genetic analyses. The data make it safe to conclude that genetic perturbations support the novel hypothesis that there are two homeostatic processes regulating responses to sleep disturbance. It is not warranted yet to argue that npr-1 regulates one of these processes.
5) One thing that was very confusing and needs clarification is the data of Figure 3C-E. Why was baseline quiescence measured before the stimulus? Is the stimulus repeated and there is a cumulative effect? How is this a meaningful measure? Shouldn't the post-stimulus baseline be compared to the pre-stimulus baseline? Other figures use the same measure. This must be explained and justified.
[Editors' note: further revisions were requested prior to acceptance, as described below.]
Thank you for sending your work entitled “Homeostasis in C. elegans sleep is characterized by two behaviorally and genetically distinct mechanisms” for consideration at eLife. Your article has been favorably evaluated by Eve Marder (Senior editor), Ronald L Calabrese (Reviewing editor), and 2 reviewers.
The Reviewing editor and the reviewers discussed their comments before we reached this decision, and the Reviewing editor has assembled the following comments to help you prepare a revised submission.
The authors present a behavioral analysis of homeostasis during the sleep-like state of lethargus in C. elegans. They find two distinct levels of homeostasis separable phenomenologically by the response to disturbing stimuli. Micro-homeostasis occurs in undisturbed or weakly disturbed (stimulated) animals and homeostasis occurs in strongly disturbed (stimulated) animals. The behavioral data set is extensive and thorough and for the main part the data is appropriately interpreted.
The previous review addressed several concerns, which the authors have now addressed. One concern was over the presentation and its accessibility to a general reader of eLife. This concern has been substantially addressed so that the manuscript is now more readable for biologists outside the C. elegans community. Another concern about the context of the results in the field of sleep research has been addressed by additions to Discussion. Concerns about flp-18 genetics and expression have also been addressed.
Concerns about the behavioral analyses were addressed by more clearly and explicitly stating what was done but there are still some important clarifications to be made. There is clear consensus on this issue. To quote one of the expert reviewers: “The schematic at the top of Figure 3 is helpful in understanding the authors' stimulation and analysis protocol. However, nowhere in the figures or supplementary figures could I find a clear example showing the elevated baseline quiescence in the 5 minutes prior to the next stimulus. Figure 4B and 8B shows the 5 minutes prior to the strong mechanical stimulation, and then the 10 minutes after the stimulus. The 5 minutes of baseline quiescence before the stimulus looks to my eye the same as the 10 minutes of quiescence after the stimulus. Isn't the relevant period 10-15 minutes after the stimulus? This is the new baseline prior to the next stimulus. Also, if the strong stimulus is repeated every 15 minutes, and there is a consequent elevation of 'baseline quiescence' in the 5 minutes prior to the next stimulation, is the subsequent 'baseline quiescence' further elevated? That is, is the effect of stimulations cumulative? Showing the data in 4B and 8B with the longer time scale shown in 3A may be helpful.”
There are serious concerns by all reviewers on some sentences in which claims are made about the role of NPR-1 in homeostasis. “Thus, in addition to the phenotypic differences described above, homeostatic compensation during undisturbed or weakly disturbed lethargus was regulated by NPR-1, while homeostatic compensation for strong stimuli was not. Thus, the routine stabilization of lethargus behavior in low-noise environments and the homeostatic compensation for stressful disturbances are mechanistically separable. These findings are consistent with a model in which NPR-1 dynamically modulates quiescence during lethargus in response to spontaneous or induced mild variations in locomotion.” Specifically the phrase '...regulated by NPR-1...' must be altered to something more in line with the data like '...affected by...' or '...required...' and the word 'dynamically' removed ('...dynamically modulates...').
The section on Combinatorial Peptide Action in the Results section overstates the case and needs to be cut back. You have observed inconsistent effects of different general peptide secretion mutants and conclude that it is combinatorial. The authors should simply report their observations in Results without the current heading and potentially include one sentence in the Discussion saying that the different phenotypes of egl and unc mutations can be rationalized by postulating multiple peptides with positive and negative effects.
Moreover in the opinion of the one reviewer the genetic analysis remains superficial and the paper would benefit from further restricting claims made on the basis of these experiments
These serious concerns must be addressed; this should require only minor re-writing and can be handled in the future by the BRE.https://doi.org/10.7554/eLife.04380.019
- David Biron
- David Biron
- David Biron
- Nora Tramm
The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
Some strains were provided by the CGC, which is funded by NIH Office of Research Infrastructure Programs (P40 OD010440). This work was supported by the Burroughs Wellcome Fund Career Award at the Scientific Interface (DB), the Searle Scholars Program (DB), NSF GRFP (DGE-0638477, NT), and the NSF (IOS 1256989). We thank D Raizen for strains and for useful discussions, and E Efrati and L Avery for useful discussions.
- Ronald L Calabrese, Reviewing Editor, Emory University, United States
© 2014, Nagy et al
This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.