Serotonergic neurons of the raphe nuclei of vertebrates project to most regions of the brain and are known to significantly affect sensory processing. The subsecond dynamics of sensory modulation of serotonin levels and its relation to behavior, however, remain unknown. We used fast-scan cyclic voltammetry to measure serotonin release in the electrosensory system of weakly electric fish, Apteronotus leptorhynchus. These fish use an electric organ to generate a quasi-sinusoidal electric field for communicating with conspecifics. In response to conspecific signals, they frequently produce signal modulations called chirps. We measured changes in serotonin concentration in the hindbrain electrosensory lobe (ELL) with a resolution of 0.1 s concurrently with chirping behavior evoked by mimics of conspecific electric signals. We show that serotonin release can occur phase locked to stimulus onset as well as spontaneously in the ELL region responsible for processing these signals. Intense auditory stimuli, on the other hand, do not modulate serotonin levels in this region, suggesting modality specificity. We found no significant correlation between serotonin release and chirp production on a trial-by-trial basis. However, on average, in the trials where the fish chirped, there was a reduction in serotonin release in response to stimuli mimicking similar-sized same-sex conspecifics. We hypothesize that the serotonergic system is part of an intricate sensory–motor loop: serotonin release in a sensory area is triggered by sensory input, giving rise to motor output, which can in turn affect serotonin release at the timescale of the ongoing sensory experience and in a context-dependent manner.
Serotonin is a key modulator of neural activity throughout the brains of all vertebrates. Understanding the function of serotonin in sensory processing is critical as its disruption in sensory perception is an important element of many neurological disorders. We studied the temporal dynamics of serotonin release in response to communication signals in weakly electric fish. We found that serotonin release is temporally tightly linked to communication stimuli and likely depends on an individual’s past experience. Interestingly, the communication behavior of a fish can also affect the time course of serotonin release. Our results are the first to shed light on the subsecond dynamics of serotonin in a sensory area and its relation to ongoing behavior.
The serotonergic [5-hydroxytryptamine (5-HT)] system affects targets throughout the CNS and is highly conserved across vertebrates (Jacobs and Azmitia, 1992). Serotonergic innervation of the CNS arises mainly from medial and dorsal raphe nuclei (Berger et al., 2009). Altered levels of 5-HT contribute to mental disorders like depression, schizophrenia, and autism (Müller and Jacobs, 2010). In the context of agonistic encounters, lower 5-HT levels have been associated with increased aggression, although some studies underline the dependence of this effect on the history of the animal, the behavioral context, and the presence of differential changes across brain regions (Summers et al., 2005; Nelson and Trainor, 2007; Silva et al., 2013).
5-HT significantly affects the response properties of sensory neurons across vertebrates (Hurley et al., 2004). The effect of 5-HT on sensory responses has been largely studied through electrical stimulation of serotonergic fibers, through microinjection of its receptor agonists or antagonists (Rogawski and Aghajanian, 1980; Waterhouse et al., 1990; Hurley and Pollak, 2005; Dacks et al., 2009; Petzold et al., 2009), and through their optogenetic excitation (Dugué et al., 2014). Electrochemical techniques are particularly valuable in unraveling the release dynamics of endogenous monoamines in the brain (Robinson et al., 2008). Sensory modulation of 5-HT levels in the inferior colliculus (IC) of mice has been studied using differential pulse voltammetry, shedding light on the temporal dynamics of 5-HT release on a timescale of minutes (Hall et al., 2010). Serotonin release evoked by tail-nerve shocks was measured in the dissected nervous system of Aplysia at the subsecond timescale using chronoamperometry, elucidating its role in learning and memory, particularly through the spatially specific release pattern (Marinesco and Carew, 2002; Marinesco et al., 2006). Sensory modulation of 5-HT dynamics at the subsecond timescale in relation to ongoing natural behaviors, however, has not yet been characterized.
We used South American gymnotiform weakly electric fish, Apteronotus leptorhynchus, to measure 5-HT release in the first processing stage of electrosensory input, the electrosensory lobe (ELL) of the hindbrain in vivo. These fish generate a quasi-sinusoidal electric field through discharges of an electric organ (EODs; Krahe and Maler, 2014). The EOD frequency (EODf) is specific to the individual, with males having higher frequencies than females (Zakon et al., 2002). The EOD of conspecifics can be mimicked and presented to a fish in an experimental tank through the application of a weak sinusoidal voltage to a pair of electrodes placed at a distance from the fish, such that the resulting electric field casts a global image on the body of the fish (Clarke et al., 2015). Such mimicking of conspecific signals triggers behavioral responses that are indistinguishable from those observed during interaction with real conspecifics and have been widely used to study electrocommunication behavior. For example, the characterization of the jamming avoidance response was entirely based on such electrosensory mimic stimuli (Heiligenberg 1991). During interaction with a conspecific, the electric fields summate and generate amplitude modulations (AMs) at the difference frequency (Df) of the individual EOD frequencies (Heiligenberg, 1991). The AM frequency provides information about the sex of the conspecific (e.g., same-sex and opposite-sex interactions result in small and large Dfs, respectively; Walz et al., 2013). Tuberous electroreceptor afferents encode EOD AMs and provide somatotopic input to three segments of the ELL, each specialized in processing distinct electrosensory stimuli (Esense-stim): lateral segment (LS), centrolateral segment, and centromedial segment (CMS; Krahe and Maler, 2014). The LS specifically receives strong serotonergic input from raphe nuclei (Johnston et al., 1990; Deemyad et al., 2011), is specialized in processing communication signals called chirps (Marsat et al., 2012), and is necessary for chirp production (Metzner and Juranek, 1997). Chirps are brief increases in EOD frequency, most commonly produced by males during agonistic encounters (Zakon et al., 2002). Chirping behavior is under the influence of 5-HT: ventricular injection of 5-HT (Maler and Ellis, 1987) and agonistic compounds of 5HT2 receptors alike (Smith and Combs, 2008) reduce chirping. Local injection of 5-HT in LS and stimulation of raphe nuclei also reduce chirping (Deemyad et al., 2013). Serotonin injection increases burst firing and decreases first spike latency in LS pyramidal cells, rendering them more sensitive to conspecific chirps (Deemyad et al., 2013). This effect is exerted through the inhibition of small-conductance calcium and M-type potassium currents (Deemyad et al., 2011), mediated by 5-HT2-like receptors (Larson et al., 2014). The pattern of 5-HT release in LS, and its relation with chirp production, however, remains elusive. In this study, we used fast-scan cyclic voltammetry (FSCV; Dankoski and Wightman, 2013) to detect electrosensory modulation of 5-HT release in the LS, and characterized its relation to chirping behavior.
Materials and Methods
All animal procedures were performed in accordance with the regulations of the animal care committee of the University of Ottawa. Apteronotus leptorhynchus of either sex were used for all experiments.
Carbon fiber microelectrode fabrication
Seven-micrometer-diameter carbon fibers (Goodfellow Cambridge) were used to construct carbon fiber microelectrodes (CFMEs). The carbon fiber was drawn into a glass capillary (outer diameter, 1.2 mm; inner diameter, 0.68 mm; A-M Systems) by suction, and the ensemble was pulled using a horizontal puller (P1000; Sutter Instruments). The carbon fiber extending through the tip of the pulled pipette was cut and trimmed to a length of 120–140 µm. A thin copper wire was inserted from the other end of the capillary and connected to the carbon fiber using silver print (Silver Print II, GC Electronics). The other end of the wire was soldered to a gold pin used to connect the electrode to the voltammetry head stage, and was secured to the glass capillary using heat shrink tubing. The CFME tip was electroplated with 5% Nafion [LIQUion (LQ-1105-MeOH), Ion Power] to increase sensitivity to 5-HT (Hashemi et al., 2009). The CFME tip was placed in Nafion solution and +1 V constant voltage was applied to it relative to an Ag/AgCl electrode for 30 s. The CFME was next air dried for 10 s and then placed in a convection oven at 70°C for 10 min. The electrodes were stored dry in a container before being used.
The voltammetry headstage was manufactured by Electronics and Materials Engineering (EME) and was used to apply a triangular waveform to the CFME relative to an Ag/AgCl reference electrode and to record the resulting current. Tar-Heel CV software (University of North Carolina, Chapel Hill, NC) was used together with data acquisition boards (NI-PCI-6052E and NI PCI-6711, National Instruments) for generating the triangular waveform and acquiring the resulting current. The waveform had an N shape (Fig. 1A, right), swept between −0.1 and 1 V, at 1000 V/s, and rested at 0.2 V in between the scans (Jackson et al., 1995). In all experiments (in vitro and in vivo), prior to the start of recording, the triangular waveform was applied to the CFME at 60 Hz for 20 min to overoxidize the carbon fiber, and thereby increase its surface area and sensitivity (Robinson et al., 2008). Next, the same waveform was applied to the electrode at the recording frequency (10 Hz) for 10 min to achieve a stable background (non-faradic) current at this frequency. The average background cyclic voltammogram (CV) was calculated in a 1 s window (10 scans) immediately prior to stimulus onset and subtracted from all subsequent CVs to facilitate the detection of smaller faradic currents resulting from redox reactions of 5-HT (Robinson et al., 2008).
Color plots depict time on the x-axis, the voltage of the applied triangular waveform on the y-axis, and the current amplitude in false color.
In vitro FSCV recordings and electrical stimulation
A. leptorhynchus were anesthetized with tricaine methanesulfonate (MS-222; Aqua Life, Syndel Laboratories) in oxygenated deionized water. The ELL was removed, and transverse slices of 350 μm thickness were prepared on a vibratome, while the ELL was immersed in ice-cold artificial CSF (ACSF) containing the following (in mm): 135 NaCl, 2 KCl, 1.25 KH2PO4, 1.5 CaCl2, 1.5 MgSO4, 24 NaHCO3, 10 d-glucose, and 5 Na-ascorbate. Slices were maintained in an interface chamber in ACSF at room temperature for 30 min before recording. Gold-plated bipolar tungsten electrodes (interpole distance, 150 μm; FHC) were used to deliver 100 μs pulses at 60 Hz to the pyramidal cell layer (PCL; Fig. 1A). This stimulation frequency was previously reported to be efficient for stimulating dorsal raphe neurons in vitro (Bunin et al., 1998). The interstimulus interval was 5–10 min. The CFME was inserted into the slice (depth, ∼150 μm) at a shallow angle (∼30°) and placed at equal distance (∼350 μm) from either pole of the stimulating electrode (Fig. 1A). The 5-HT reuptake inhibitor citalopram hydrobromide (Sigma-Aldrich) was used to confirm the identity of the measured analyte. To compare the stimulation-evoked responses before and after citalopram application, the currents corresponding to control and citalopram trials were normalized to the average peak amplitude of control trials for each fish.
In vivo FSCV recordings, electrosensory and auditory stimuli
A. leptorhynchus were deeply anesthetized with MS-222, and their ELL was exposed by craniotomy. They were then locally anesthetized at the wound margin by application of 20% benzocaine cream (Orajel, Church & Dwight), and allowed to recover from general anesthesia, immobilized using curare [(+)-tubocurarine chloride, Sigma-Aldrich], transferred to the experimental tank, and respirated with a continuous flow of aerated water through a tube inserted into the mouth of the fish. This protocol does not appear to result in stress or pain (Hitschfeld et al., 2009Krahe and Maler, 2014; Clarke et al., 2015) and loud auditory stimuli (Aud-stim) were measured. Aud-stim consisted of intense pure tones with frequencies between 700 and 900 Hz played on a pair of speakers placed near the tank. Esense-stim were generated by applying a weak sinusoidal voltage waveform to the tank water through a pair of carbon electrodes (diameter, 8.3 mm) placed on either side of the tank (Fig. 1B), creating a global electric field in the tank water (Heiligenberg, 1991; Clarke et al., 2015). The frequency of the field was chosen to be in the range of naturally occurring EOD frequencies of A. leptorhynchus as follows: −100, −80, −60, −40, −20, −10, −5, 5, 10, 20, 40, 60, 80, and 100 Hz. The frequency of the Esense-stim was controlled on-line such that it had a constant Df relative to the EODf of the fish. The EOD of the fish was recorded using another pair of carbon electrodes placed near the animal (Fig. 1B, rec). The amplitude of the Esense-stim was calibrated such that the resulting AMs measured next to the skin of the fish were between 25% and 50% of the EOD of the fish amplitude. This value corresponds to the range of AMs the fish experiences during agonistic interactions and chirp production (Hupé and Lewis, 2008; Fotowat et al., 2013). Each trial consisted of 60 s of voltammetric measurements. The interval between stimulation trials was 5–10 min. Each stimulation trial was followed by a “blank” trial in which the recording was performed in the absence of Esense-stim or Aud-stim.
In our recordings, the average peak oxidation current was 1.22 nA (SD, 0.95 nA; ntrials = 114; nfish = 9). In this range, the current amplitude changes linearly with concentration (Dankoski and Wightman, 2013). For a typical electrode used in our recordings, each nanoampere of current corresponded to an ∼80 nm change in 5-HT concentration. For the current study, all population analysis for in vivo experiments was performed on currents normalized to their maxima for each fish. Esense-stim and Aud-stim presentations were controlled using Spike2 software (Cambridge Electronic Design Limited). MATLAB (MathWorks) was used for all subsequent data analysis. The area under the curve (AUC) was calculated as the integral of the normalized current using trapezoidal numerical integration, and was used to quantify the normalized response magnitude over the stimulus duration (20 s). For blank trials, the AUC was calculated from 5 to 25 s after recording onset. Response latency was calculated as the time since stimulus onset when the current amplitude exceeded twice the average “noise” level, defined as the SD of the normalized current measured in a 4 s window prior to stimulus onset. Any trial that showed a threshold crossing at any time after stimulus onset (or 5 s after recording onset in blank trials) and up to 15 s after its offset was considered a response trial. Response probability was calculated as the ratio of response to no-response trials for either stimulation or blank trials. We calculated average normalized current amplitudes using all trials, whether or not a response was present (current passed the threshold). Response duration was calculated as the time between the response onset and the first time the current dropped below noise level. The Kruskal–Wallis test (KWT) was used to compare the medians of two groups, and Tukey–Kramer multiple comparisons were used for comparison among three or more groups. A t test was used to test whether the mean of a Gaussian distribution was significantly different from zero. The number of fish tested and the number of trials are denoted by nfish and ntrials, respectively. The Pearson correlation coefficient and its significance calculated using t statistics are denoted by ρ and p, respectively.
Electrical stimulation of 5-HT fibers evokes anatomically specific 5-HT release in vitro
Based on immunohistochemical studies, ELL-LS is devoid of dopamine (DA) and norepinephrine (NE; Sas et al., 1990), and 5-HT immunoreactivity is present mainly in the PCL of LS (LS-PCL) and the medial segment (MS) of the ELL (Deemyad et al., 2011). In order to verify that we could measure 5-HT concentration changes using FSCV in the brain of A. leptorhynchus, we recorded redox currents evoked by electrical stimulation of 5-HT fibers in slices of ELL (Fig. 1A; see Materials and Methods). Stimulation of LS consistently evoked redox currents at the nearby CFME (nfish = 5; Fig. 2A,B). Stimulating CMS did not evoke such currents (nfish = 2; Fig. 2A,B), whereas stimulating MS evoked a current in MS with similar CV as that observed in LS (nfish = 2; Fig. 2C,D). There was, therefore, excellent correspondence between the presence of 5-HT fibers revealed by immunohistochemistry and our ability to evoke release by electrical stimulation. We found that the peak oxidation–reduction voltage was shifted relative to that obtained for exogenous 5-HT solutions with the CFME placed in the artificial CSF. It was, however, consistent with that obtained when the CFME was placed inside the slice and exogenous 5-HT was puffed on the slice surface (data not shown). Such shifts have been reported previously and are thought to be due to coating of the electrode by metabolites present in the surrounding brain tissue (Hashemi et al., 2009; Singh et al., 2011). In order to further verify that the measured redox currents were due to 5-HT release, we repeated the stimulation experiments in LS and assessed the effect of the selective 5-HT reuptake inhibitor citalopram on the stimulation-evoked current. We first measured redox currents evoked by electrical stimulation with the slice in ACSF, then incubated the same slice in the same recording chamber in 2 μm citalopram for 20 min and measured stimulation-evoked currents again (nfish = 3; Fig. 2E). We found that citalopram significantly increased the peak current amplitude (pKWT = 0.038) and the area under the curve of the stimulation-evoked current (pKWT = 0.003). Given the known anatomical innervation patterns of serotonergic afferents in ELL, the absence of DA and NE in the ELL-LS, and the aforementioned in vitro control experiments, we conclude that the redox currents that we measured by FSCV in ELL-LS corresponded to 5-HT levels.
Electrosensory stimuli modulate 5-HT levels in vivo
We presented 20-s-long Esense-stim simulating the presence of conspecifics with Df values ranging between −100 and +100 Hz (nfish = 9; Fig. 3A; see Materials and Methods). Such stimuli indeed elicited a redox current in LS (Fig. 3A) with a CV that resembled those obtained in vitro (Fig. 2A). Interestingly, we occasionally observed spontaneous 5-HT release events even in the absence of stimulation during blank trials (Fig. 3B,C; see Materials and Methods).
Not all Esense-stim trials, however, resulted in a change in 5-HT levels. On average, across all trials in all nine fish, the probabilities of observing evoked and spontaneous 5-HT release events were 82% (SD, 12.6%) and 51% (SD, 13%), respectively. It is important to note that these probabilities were calculated based on threshold crossing of the current anytime in a 35 s window after the stimulation onset or recording onset in the blank trials (threshold = 2× the SD of noise; see Materials and Methods). With a more stringent rule for the presence of response [e.g., threshold crossing of 3× the SD of noise, the response probability for stimulus, and blank trials will be 70% (SD, 14%) and 45% (SD, 13%), respectively]. Moreover, one could further restrict the rule for response versus no response by setting a smaller upper bound for response latency. The definition of the presence or absence of response in this sense, therefore, is sensitive to the chosen threshold and when it is crossed. To avoid this issue, we used AUC for making comparisons across different conditions, as it encompasses information about both response timing and amplitude.
We found large variability in the presence or absence of a 5-HT response to stimuli with different Df values in each fish. The overall response probability and AUC, however, were not significantly different for different stimulus Df values (KWT with multiple comparison, pKWT = 0.49), and, thus, for the majority of the following analysis we pooled the data across all Df values, or within ranges of Df. Consistent with our in vitro experiments (Fig. 2A,B) and previous anatomical studies (Johnston et al., 1990), the Esense-stim did not evoke a response in CMS (nfish = 3; Fig. 4).
Figure 5A shows the normalized currents averaged across all fish and all Esense-stim trials (black curve; nfish = 9, ntrials = 142, average currents for stimuli at different Df values are additionally depicted using color codes), and all blank trials (gray curve, nfish = 9, ntrials = 158). The timing of the spontaneous events during blank trials was not phase locked to any time point during the recording, and, therefore, the current could be increasing, decreasing, or not changing relative to the background current with equal probabilities (Fig. 5B; background current was set to that calculated 5 s after recording onset; see Materials and Methods). As FSCV is based on differential measurements of current relative to the background current, one can encounter negative current values (and therefore negative AUC) if a spontaneous event was occurring at the time point chosen for the background subtraction and the current amplitude decreases afterward (see Materials and Methods). Across all trials, the AUC calculated over the duration of Esense-stim was significantly larger than zero (Fig. 5C, red filled bars, orange Gaussian fit; mean, 3.3 s; SD, 4.7 s; p = 3.2 × 10−14; ntrials = 142, t test), whereas it was not significantly different from zero in blank trials (Fig. 5C, black open bars, black Gaussian fit; mean, −0.24 s; SD, 5.6 s; p = 0.60, ntrials = 158, t test). For Esense-stim trials, the median, and 25th and 75th percentiles for response latency were 3.5, 1.5, and 15.4 s, respectively. The peak of the probability density function (PDF) for response latencies was ∼2 s (Fig. 5D, red filled bars), and, for most trials (70%), the 5-HT response occurred within 7 s after stimulus onset. The time-course of the 5-HT current was variable across trials; however, the average response duration was close to that of the stimulus (mean duration, 20.6 s; SD, 11.37 s) and was significantly longer (pKWT = 4.7 × 10−5) than the duration of the spontaneous current events in blank trials (mean duration blank, 14.9 s; SD, 11.5 s). A subset of the fish (nfish = 4) was additionally presented with intense Aud-stim (see Materials and Methods) to assess the sensory modality specificity of the response. We did not observe any significant phase-locked responses to Aud-stim in LS (Fig. 6A). The AUC was not significantly different between blank and Aud-stim trials, but both of them were significantly smaller than the AUCs for Esense-stim trials (Fig. 6B).
We therefore conclude that there are modality-specific 5-HT release events in response to sensory stimuli, as well as spontaneous release events in LS. Sensory modulation of the 5-HT level is phase locked to the stimulus onset and lasts longer, with an average duration that corresponds to that of the stimulus.
Chirp production can affect 5-HT release in LS
Male fish chirped in response to stimuli mimicking the EOD of conspecifics (nfish = 8). The mean (SD) latency of chirping onset relative to stimulus onset was 4.2 s (3.9 s; ntrials = 64). The proportion of trials where a 5-HT response was observed was similar among trials in which the fish chirped and those in which they did not chirp (Fig. 7A). Among trials in which both chirps and 5-HT responses were present, the average delay between the first chirp and the 5-HT response onset (i.e. the time-point of the threshold crossing for 5-HT current) was 0.86 s (SD = 6.7 s; ntrials = 51; positive delays correspond to the first chirp occurring before 5-HT response onset). Overall, in 61% of those trials the first chirp occurred prior to the 5-HT response onset (Fig. 7B). The mean delay, however, was not significantly different from zero, indicating that the first chirp was equally likely to occur before or after the 5-HT response onset (Fig. 7B, inset).
Despite a significant negative correlation between the number of chirps and the absolute value of Df (|Df|; ρ = −0.36, p = 0.003; see also Engler and Zupanc, 2001), there was no significant correlation between |Df| and the AUC at the individual or population level. Interestingly, however, there was a small but significant positive correlation between AUC and |Df| in the trials where the fish produced chirps (ρ = 0.25, p = 0.04, ntrials = 64; Fig. 7C, red asterisks). This correlation did not exist in the trials without chirps (ρ = −0.007, p = 0.95, ntrials = 67; Fig. 7C, black circles). Moreover, the difference in AUC between chirp and no-chirp trials was most pronounced at |Df| of <20 Hz.
Interestingly, although we did not find a significant trial-by-trial correlation between the number of chirps and AUC (ρ = −0.13, p = 0.12; a similar result was obtained when no-chirp trials were excluded, as follows: ρ = −0.14, p = 0.25), when we pooled all trials in all fish, we found a small but significant negative correlation between the number of chirps and the AUC for stimuli with a |Df| of <20 Hz (ρ = −0.34, p = 0.02; Fig. 7D, red asterisks). Such trial-by-trial correlations did not exist for stimuli with a |Df| of ≥20 (ρ = 0.12, p = 0.27; Fig. 7D, black circles). Similarly, there was no significant trial-by-trial correlation between the number of chirps and the AUC for trials in which the fish produced chirps (ρ = −0.14; p = 0.25).
Stimuli with small |Df| values (i.e., |Df| <20 Hz) represent the presence of similar-sized, same-sex conspecifics (context of maximal rivalry), whereas large |Df| values (|Df| ≥20 Hz) represent the presence of conspecifics of the same sex, but of different sizes (context of clear dominance or subordinance), or those of the opposite sex. We next examined the relationships among the chirping behavior of an animal, 5-HT release, and the behavioral context, as follows. We pooled all of the trials in which the fish chirped and compared the 5-HT responses to those trials where the fish did not chirp, for stimuli with small and large |Df| values (data were available for such pairwise comparisons in six fish for small |Df| values and four fish for large |Df| values). On average, the AUC of 5-HT current in response to stimuli with small |Df| values was significantly smaller in trials in which the fish chirped (Fig. 8A). This was not the case for stimuli with |Df| values ≥20 Hz (Fig. 8B). Interestingly, the difference in the time-course of 5-HT currents between the chirp/no-chirp trials gains significance in the second 5 s window after stimulus onset and loses significance after its offset (Fig. 8C, red curve). As the average chirp onset latency was 4.2 s, it is possible that chirp production suppresses the 5-HT response to small |Df| values, although further experiments are required to explore causality.
In this study, we used FSCV to measure endogenous 5-HT release in the brain of weakly electric fish in response to naturalistic electrosensory stimuli. We asked the following: does the presence of a conspecific cause 5-HT release in the LS in vivo, and, if so, how does that relate to evoked communication responses? Our results indicate that within seconds after the arrival of a conspecific, the 5-HT levels rise in the LS (Figs. 3A, 5A). 5-HT afferents were spontaneously active as well (Fig. 3C), albeit less frequently and for shorter durations. This suggests that, even in a “resting state,” there is ongoing neural activity in the brain of these fish that can modulate sensory processing. A similar conclusion was reached for motor activity and EOD discharge in related gymnotiform fish (Jun et al., 2014).
Increases in 5-HT levels occurred within a few seconds after Esense-stim onset (Fig. 5D) and, on average, lasted for the duration of stimulation, although we found considerable variability in response duration and probability across stimulus Df values and for different fish. As A. leptorhynchus are able to identify individual conspecifics based on their Df values and retain this memory for several days (Harvey-Girard et al., 2010), it is very likely that the recent encounters of the fish with other fish in their home aquaria could affect the recorded 5-HT response, and, thereby, also contribute to the response variability that we observed. Interestingly, cells in the midbrain electrosensory region torus semicircularis (TS) show selectivity for stimulus Df (Vonderschen and Chacron, 2011) and provide input to reticular formation (Carr et al., 1981). Assuming that reticular cells in weakly electric fish provide input to dorsal raphe nucleus (DRN) like they do in mammals (Ogawa et al., 2014), they would be well suited to modulate the activity of DRN neurons in a Df-specific manner.
The response latency we report here (Fig. 5D) is likely an overestimation of the true latency of stimulus-evoked 5-HT release in LS, as it depends on the chosen threshold value (see Materials and Methods), and is also a function of the distance of the electrode from the serotonergic terminals, over which we did not have any control. DRN neurons of cats respond to auditory and visual stimuli within 50–70 ms (Rasmussen et al., 1986). Auditory clicks evoke responses in DRN serotonergic neurons of rats with latencies as low as 20 ms (Ranade and Mainen, 2009). We expect similarly short latencies for electrosensory-evoked responses in DRN of weakly electric fish. Given the presence of direct synaptic input from DRN to the ELL-LS, a change in 5-HT level should therefore commence in this area in <100 ms after stimulus onset.
The 5-HT response was not a general “stress” response to stimulus presentation as there was no significant response to Aud-stim (Fig. 6), even though gymnotiform fish are known to be very sensitive to sound (Harvey-Girard et al., 2010; Jun et al., 2014). It is therefore possible that distinct populations of DRN neurons innervate different sensory regions of the brain in a modality-specific manner. This agrees with reports on the high degree of heterogeneity among the DRN serotonergic neurons and the existence of “non-overlapping” populations of these neurons that innervate distinct areas of the brain (Abrams et al., 2004; Hale and Lowry, 2011; Gaspar and Lillesaar, 2012; Fernandez et al., 2016).
It is known that superficial pyramidal cells in the ELL-LS respond poorly to beat frequencies smaller than 20 Hz and best to one particular class of chirps (small chirps) when they occur on a background of these frequencies (Marsat et al., 2009; Marsat and Maler, 2010). This property is due to the cancellation of redundant beat signals at low frequencies through an indirect feedback pathway, which is most efficient at a |Df| <20 Hz (Bol et al., 2011). Moreover, small chirps that occur on low beat frequencies synchronize primary afferent activity, whereas chirps occurring on higher beat frequencies desynchronize them (Benda et al., 2006; Walz et al., 2014). Information on the occurrence of small chirps on low beat frequencies is therefore conveyed to subsequent stages of sensory processing and eventually motor centers in a distinct neural code. Beats with such small |Df| values occur during interaction with same-sex conspecifics of similar size (Zakon and Dunlap 1999), and thus in a context of maximum rivalry. Interestingly, we found that for stimuli with small |Df| values there was a negative correlation between the number of chirps produced by the fish and the 5-HT current AUC (Fig. 7D). This correlation, however, was weak: variance in the AUC explained only 12% of the variance observed in the number of chirps produced at low |Df| values. Moreover, the correlation was absent for stimuli with large |Df| values. We expect this correlation to be tighter at the level of the motor nuclei that produce chirps [central posterior/prepacemaker nucleus (CP/PPn)], which also receive extensive, sexually dimorphic 5-HT innervation (Telgkamp et al., 2007). Dual FSCV recordings in CP/PPn and ELL-LS in response to conspecific signals could further clarify the relationship between 5-HT transients in these regions and behavioral output. The number of chirps produced is additionally influenced by memory and habituation (Harvey-Girard et al., 2010), and is under the control of telencephalon, which itself receives dense serotonergic innervation (Johnston et al., 1990). Further studies are required to characterize sensory modulation of serotonin release at the level of these and other neural circuits that are involved in the processing and production of communication signals, and to discover the relationship between those dynamics and the number of chirps produced.
We found that in trials in which the fish produced chirps, there was a small but significant positive correlation between the 5-HT response AUC and |Df| (Fig. 7C). Walz et al. (2014) proposed that small chirps could be used to discriminate different behavioral contexts, as determined by the beat frequency. It is therefore possible that, when a fish is actively engaged with a conspecific and produces chirps, it can better discriminate the behavioral context (i.e., the sex and body size of the conspecific) and fine-tune its 5-HT response on-line accordingly.
It has been shown that changes in the baseline levels of 5-HT depend on the types of behaviors the fish are engaged in (Zubizarreta et al., 2012; Silva et al., 2013). Our experiments additionally show that the behavioral actions of an animal could affect the second-by-second 5-HT dynamics in a context-dependent (i.e., Df-dependent) manner. When we pooled all chirp trials and compared their 5-HT AUCs with those of no-chirp trials, we found that for small |Df| values the AUC was significantly smaller in the trials in which the fish produced chirps. Therefore, although the correlation between the number of chirps and 5-HT AUC was weak on a trial-by-trial basis, on average the amount of 5-HT response was significantly larger in the trials in which the fish did not chirp. This is in line with previous results showing that, on average, the injection of 5-HT and the stimulation of raphe reduces chirping in response to stimuli with low |Df| values (Maler and Ellis, 1987; Deemyad et al., 2013). Additionally, Deemyad et al. (2013) reported that 5-HT injection renders ELL-LS pyramidal cells more sensitive to chirps. Here we report that for small |Df| values when the fish produces chirps, 5-HT levels are lower and, therefore, based on the results of Deemyad et al. (2013), there should be a decrease in the sensitivity of LS pyramidal cells to fish's own chirps as well as those emitted by a conspecific. On the other hand, in trials in which the fish does not chirp, that is, when the fish is just “listening,” more 5-HT is released, and therefore the ELL-LS cells should be more sensitive to chirps. Interestingly, the 5-HT response was not significantly different between chirp and no-chirp trials in the first 5 s of stimulation (Fig. 8C), indicating that the chirping of the fish might be linked to a reduction in 5-HT release. Further experiments are required to prove the causality between chirping and the reduction of 5-HT release for small |Df| stimuli.
The role of 5-HT in the processing of stimuli with large |Df| values is yet to be understood. Deemyad et al. (2013) reported that 5-HT increases the sensitivity of ELL-LS pyramidal neurons to beats at low but not high |Df| values. Nevertheless, we found that stimuli with large |Df| values were as efficient in triggering endogenous 5-HT release as those at small |Df| values, as there was no significant difference in the 5-HT AUC for small versus large |Df| values. Interestingly, however, unlike responses to small |Df| values, the responses to large |Df| values were not affected by the chirping of the fish (Fig. 8B,C). This could result in high sensitivity to the chirping of a conspecific at high |Df| values, regardless of the chirping behavior of the fish.
Therefore, in the context of maximal rivalry (i.e. for beat frequencies with small |Df| values), the fish is less sensitive to the chirping of another fish when the fish itself is chirping, and is more sensitive when the fish is “listening” (i.e. not chirping). On the other hand, in the context of interaction with opposite-sex conspecifics, or same-sex conspecifics of different size, the fish is listening to the chirping of the other fish, whether or not he is chirping himself. To corroborate these findings, it will be very interesting to record and compare the responses of LS pyramidal neurons to chirps between the trials in which the fish produces chirps and those in which it does not.
5-HT receptors have not yet been cloned in weakly electric fish, and their anatomical distribution is currently unknown. However, in vitro pharmacological experiments have suggested the presence of 5HT2-like receptors in the ELL-LS (Larson et al., 2014). Application of the 5HT2 receptor blocker ketanserin occludes the effect of 5-HT on the bursts produced by ELL-LS pyramidal cells. We cannot be certain which subtypes of 5-HT receptors were activated in our experiments based on the aforementioned pharmacological experiments, because the doses of 5-HT used in those experiments (millimolar range) were orders of magnitude larger than those we found for endogenous 5-HT release (nanomolar range). No direct information is available on the receptor subtypes expressed at the level of the motor output nuclei that generate chirps (CP/PPn) either. However, systemic injection of the 5HT2 receptor agonist 2,5-Dimethoxy-4-iodoamphetamine hydrochloride (DOI) DOI was reported to increase chirping, whereas the injection of agonists and antagonists of 5HT1B/1D had no effect on chirping (Smith and Combs, 2008). The same study showed that the injection of the 5HT1A receptor agonist 8-Hydroxy-2-(dipropylamino)tetralin (8-OH-DPAT) specifically increased the production of high-frequency chirps. These chirps are thought to be emitted in the context of courtship and were not observed in our experiments. The cloning of various 5-HT receptors and further anatomical studies are required for unraveling the distributions of the various 5-HT receptor subtypes in different areas of the brain. Our results provide, however, critical information about physiologically relevant doses of 5-HT that can be used for future pharmacological experiments.
Finally, we propose that the variability in 5-HT release dynamics can at least partially account for the heterogeneities that are observed in the responses of the LS neurons (Ávila-Åkerberg et al., 2010; Marsat and Maler, 2010), and possibly sensory neurons of other modalities that receive dense 5-HT innervation. Marsat and Maler (2010) have shown that such heterogeneity improves the discrimination of a second class of chirps (large chirps) that are emitted mostly during interactions with the opposite sex (i.e., those associated with large |Df| values). 5-HT release in LS may thus help the fish discriminate the detailed time-course of large chirps by introducing heterogeneity into the response of LS neurons.
There are many parallels between our findings in the electrosensory system and the auditory system of mammals. For example, HPLC studies have shown that auditory white noise increases 5-HT levels in the dorsal cochlear nucleus (DCN) in the rat (Cransac et al., 1998). 5-HT in turn increases the excitability of DCN principal cells in part via 5-HT2A/2C receptors that are similarly implicated in the regulation of excitability of LS pyramidal cells (Larson et al., 2014; Tang and Trussell, 2015). In the IC of bats, 5-HT enhances the signal-to-noise ratio of the response to communication calls (Hurley and Pollak, 2005). Although an earlier HPLC study did not show an increase in 5-HT level in the IC of rats in response to auditory white noise stimuli (Cransac et al., 1998), voltammetric recordings of 5-HT level in response to such stimuli have shown a clear transient increase in 5-HT level that declines after stimulus offset (Hall et al., 2011). The modality specificity of the 5-HT response has been reported in the IC of mice where auditory, but not visual or olfactory, stimuli evoke elevations in 5-HT levels (Hall et al., 2010). The effect of past experience on 5-HT dynamics has been demonstrated in IC of mice, where interaction with an intruder results in an increase in the 5-HT level in the IC of the resident mouse, and this effect is augmented upon a second bout of interaction with the intruder (Hall et al., 2011). DRN in mice receives monosynaptic inputs from various sensory areas, including a prominent input from IC in the midbrain (Ogawa et al., 2014; Pollak Dorocic et al., 2014), which is thought to be analogous to TS of weakly electric fish (Carr et al., 1981).
During interaction with conspecifics, weakly electric fish sometimes engage in “echo response,” where the fish chirp at each other back and forth with interchirp latency ranging between 200 and 600 ms (Hupé and Lewis, 2008). The processing of conspecific signals and behavioral responses therefore occurs at a subsecond timescale in weakly electric fish, and likely in other model systems. Our findings shed light, for the first time, on the subsecond dynamics of 5-HT level changes in a sensory brain area resulting from sensory stimulation in vivo, and suggest that an behavior of an animal can modulate these dynamics on a second-by-second basis.
Acknowledgments: We thank Dr. R. Cachope and I. Gildish for providing training in fast-scan cyclic voltammetry and for their invaluable guidance; and W. Ellis for his help throughout the project.
The authors declare no competing financial interests.
This project was supported by National Sciences and Engineering Research Council (Canada; NSERC) postdoctoral fellowship to H.F.; Canadian Institutes of Health Research Grants 6027 and 49510 to L.M.; NSERC 293306 and Fonds de Recherche du Québec-Nature et Technologies Grant 145726 to R.K.; and National Institutes of Health Grant R01-DA-022340 to J.F.C.
↵* R.K. and L.M. are joint senior authors.
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