Abstract
Superior predatory skills led to the evolutionary triumph of jawed vertebrates. However, the mechanisms by which the vertebrate brain controls predation remain largely unknown. Here we reveal a critical role for the central nucleus of the amygdala in predatory hunting. Both optogenetic and chemogenetic stimulation of central amygdala of mice elicited predatory-like attacks upon both insect and artificial prey. Coordinated control of cervical and mandibular musculatures, which is necessary for accurately positioning lethal bites on prey, was mediated by a central amygdala projection to the reticular formation in the brainstem. In contrast, prey pursuit was mediated by projections to the midbrain periaqueductal gray matter. Targeted lesions to these two pathways separately disrupted biting attacks upon prey versus the initiation of prey pursuit. Our findings delineate a neural network that integrates distinct behavioral modules, and suggest that central amygdala neurons instruct predatory hunting across jawed vertebrates.
Introduction
The emergence of articulated jaws was a major event in vertebrate evolution. The reconfiguration of the vertebrate head promoted the transition from filter feeding to active predation, eventually placing jawed predators at the top of the food chain (Gans and Northcutt, 1983; Kuratani, 2012; Mallatt, 2008). This morphological transformation was met with the development of novel neural networks capable of coordinating craniofacial and locomotor systems during active hunting (Gans and Northcutt, 1983). Dissecting the neural circuitry of predation may, therefore, provide unique insights into the evolution of vertebrate sensorimotor systems (Borghuis and Leonardo, 2015; Catania, 2012).
We hypothesized a role for the central nucleus of the amygdala (CeA) in predatory hunting. The hypothesis is based on the finding that hunting prey produces greater activation of CeA neurons than surges in food intake (Comoli et al., 2005). Moreover, CeA projects densely to brainstem premotor circuits involved in craniofacial control (Shammah-Lagnado et al., 1992; Swanson and Petrovich, 1998; Van Daele et al., 2011). Accordingly, we combined cell-specific manipulations with an ethological assay (cricket hunting, Butler, 1973; Nikulina, 1981) to investigate the role of CeA in promoting predation in mice.
Results
The central nucleus of the amygdala activates craniofacial musculatures and promotes predatory hunting
Restricted transfection of the light-sensitive depolarizing Channelrhodopsin2 (ChR2, Madisen et al., 2012) to the central nucleus of the amygdala (CeA) was achieved via stereotaxic injections of the Cre-inducible viral construct AAV-EF1a-DIO-hChR2(H134R)-EYFP into the CeA of VGat-ires-Cre mice (Figure 1A; for details on all brain injections see STAR Methods, Tables 1–8). Anatomical and electrophysiological analyses of EYFP-expressing terminals confirmed the specificity of the Cre-dependent approach (Figures 1B, 1C and S1A–G; Swanson and Petrovich, 1998; Van Daele et al., 2011).
Coordinated action involving the neck and the jaw characterizes successful prey capturing in vertebrates (Finlay et al., 1980; Montuelle et al., 2009; Wainwright et al., 2008). We thus tested the ability of CeA neurons to concurrently control cervical-mandibular muscles. Optogenetic stimulation of CeA revealed a short-latency (<100ms) co-activation of the masseter and trapezius muscles upon laser activation (Figures 1D–F). When a non-edible item was placed in the cage, laser activation caused the otherwise indifferent mice to immediately assume a “capture-like” body posture and seize the object, which was then held with the forepaws and bitten. Behavior was interrupted immediately upon laser deactivation (Movie S1). Consistently, by employing the cricket-hunting paradigm (Butler, 1973; Finlay et al., 1980; Nikulina, 1981) optogenetic activation of CeA shortened the time needed for mice to capture and subdue their prey (Figures 1G–I and S1H–I). Captured crickets were immediately eaten.
Optogenetic activation of CeA led mice to pursue, bite, and restrain moving artificial prey independently of internal state (Figures 1J and S1J, Movie S2). Such attacks were never observed when laser source was off. Stretching of the neck and the release of biting attacks, concomitant to “prey” restraint using the forepaws, characterized these responses to optical stimulation (Movie S2). CeA optical activation thus mimicked the prototypical posture observed during insect hunting (Finlay et al., 1980).
Enhanced predatory efficiency upon CeA stimulation was mirrored by analyses of electromyogram recordings. Z-scores from the electromyogram traces recorded during both natural hunting and CeA optical stimulation alone were plotted onto the two-dimensional masseter × trapezius space (Figure 1K). Unsupervised clustering algorithms assigned both optical activation and natural hunting to clusters located in the upper right quadrant due to masseter-trapezius co-activation. Interestingly, these two clusters were separated, with optical activation producing more robust muscle activation than natural hunting.
Generally, upon laser activation, mice readily seize, bite, and often ingest, non-edible objects, an effect that was modulated by internal state (Figure 1L and Movie S3). Laser activation also abolished natural preferences for edible over non-edible items (Figure S1K–P). Optically stimulating the CeA of VGat-ires-Cre mice injected with the non-excitable Cre-inducible control construct AAV-EF1a-DIO-EYFP revealed no effects on any of the hunting parameters measured (Figure S1Q–S). Moreover, ChR2 transfection and optical stimulation of the neighboring striatal and globus pallidus areas of VGat-ires-Cre mice also failed to elicit any effects on hunting (Figure S1T–Y). Finally, consummatory acts towards non-edible items were specifically and completely abolished upon interrupting GABA release from CeA terminals (Figures S1Z–DD).
Chemogenetic approaches (Sternson and Roth, 2014) corroborated the optogenetic studies. The Cre-inducible excitatory designer receptor encoded in the construct AAV-hSyn-HA-hM3D(Gq)-IRES-mCherry was injected into the CeA of VGat-ires-Cre mice. Administering the designer drug clozapine-N-oxide (CNO) increased both lethal bites unrestricted to the insects’ head (Figure 1M) and pursuit velocities (Figure 1N). Latencies to pursuit were shortened (Figure 1O), as were capture durations (Figure 1P). CNO administration also produced attacks on artificial prey (Figure 1Q and Movie S2). We also injected the CeA of VGat-ires-Cre mice with the Cre-inducible inhibitory designer receptor encoded in the construct AAV-hSyn-HA-hM4D(Gi)-IRES-mCherry. Consistently, in these mice CNO administration led to a striking decrease in hunting efficiency (Figures 1R–T).
Central amygdala activation did not induce attacks on conspecifics, greater food intake, or anxiety-like behaviors
We failed to observe any occurrences of attacks on conspecifics upon CeA activation (Figure S1EE), ruling out nonspecific aggression. Also, laser activation did not increase total ingestion of either of two types of food pellets presented (Figure S1FF), ruling out laser-induced physiological need. Consistently, both chemogenetic activation and inhibition of CeA failed to alter food intake (Figure S1GG–HH). Finally, open field tests failed to reveal any anxiogenic patterns potentially induced by either activation or inhibition of CeA (Figure S1II–PP).
Changes in central amygdala neuronal activity preceded prey capturing
In order to evaluate the behavior of CeA neuronal populations during active hunting, we performed electromyogram monitoring of the masseter muscle concomitantly to array neuronal recordings. Principal component analyses of the neuronal data revealed that ~40% of the recorded neurons increased activity during insect hunting (Figures 2A, S2), with hunting-excited CeA neurons maintaining activity levels throughout prey pursuit (Figure 2C).
The delivery of bites aimed at prey was accompanied by a sharp, transient increase in masseter activity. Principal component analyses revealed that this was concomitant to the emergence of capture-excited neurons in CeA (~36%, Figure 2D–F). Finer temporal scale analyses confirmed that capture-excited neurons tended to increase activity just prior to the attempt to capture (Figures 2G–H). These patterns are consistent with the perspective that CeA commands prey capture, in agreement with the effects of optical stimulation. Finally, a significant proportion of CeA neurons increased their activity levels during the consumption of prey (~40%, Figure 2I).
The central nucleus of the amygdala controls cervical-mandibular systems by acting on inhibitory interneurons of the parvocellular reticular formation
CeA transfection in VGat-ires-Cre mice with the ChR2 construct modified to encode a fluorophore fused to synaptobrevin (AAV-EF1a-DIO-Synb-eGFP, Land et al., 2014) revealed a dense CeA terminal field in the brainstem reticular formation (Shammah-Lagnado et al., 1992; Van Daele et al., 2011). Expression was densest throughout rostral-to-caudal levels of the parvocellular reticular formation (PCRt, Figures 3A–C). PCRt is known to contain a large population of both inhibitory (VGat-expressing) and excitatory (VGlut2-expressing) craniofacial premotor neurons (Stanek et al., 2014; Travers and Norgren, 1983). Accordingly, Cre-dependent transfection of both VGat-and VGlut2-neurons in PCRt with the retrograde pseudotyped rabies virus SADΔG-GFP(EnvA) (Wickersham et al., 2007) resulted in neuronal labeling in the medial part of CeA (Figures 3D–E. For lower magnification, see Figure S3A). Locations of rabies-labeled cells throughout CeA levels are shown in Figure S3P.
To assess the functional relevance of the CeA=>PCRt projections, VGat-ires-Cre mice were transfected with Cre-dependent ChR2 in CeA and optical fibers placed immediately above the CeA neuronal terminals in PCRt. When animals were placed on empty cages, stimulation of CeA=>PCRt projections induced “fictive feeding” behaviors, i.e. mice faithfully executed feeding-like sequences (Farr and Whishaw, 2002) in the absence of food. Specifically, upon laser activation, mice immediately interrupted locomotion (Figure S3B–E), sit back on their haunches, brought elbows inward periodically as if holding food with the forepaws, and displayed rhythmic oral movements (Figure 3F and Movie S4). Fictive feeding was elicited independently of internal state (Figure 3F). Additionally, whereas CeA=>PCRt activation led to sustained mastication of non-food items, it failed to increase overall food intake (Figure S3F–I).
According to the abovementioned rabies-based retrograde patterns, CeA neurons directly contact inhibitory VGat-neurons in PCRt. We thus reasoned that CeA=>PCRt activation might release feeding programs from inhibition. We specifically hypothesized that stimulating VGat-neurons in PCRt would be sufficient to disrupt the ability of CeA=>PCRt activation to release feeding programs. We employed a combination of optogenetics and chemogenetics (Sternson and Roth, 2014) to test this hypothesis. VGat-ires-Cre mice were ChR2-tranfected in CeA, and optical fibers placed in PCRt as above. To reversibly increase inhibitory tone within PCRt, the same animals were injected into PCRt with the Cre-dependent designer receptor (Figures 3G–H). We found that administering CNO completely suppressed masseter and trapezius electromyogram responses to optical stimulation (Figures 3I–J and S3J–M). Efficacy of the chemogenetic approach was confirmed in vivo (Figure S3N–O).
To further assess the specificity of the VGat(CeA)=>VGat(PCRt) projection in releasing feeding programs, we introduced the viral construct AAV-flex-taCasp3-TEVp (Yang et al., 2013), which induces Cre-dependent caspase expression, into the PCRt of both VGat-ires-Cre and VGlut2-ires-Cre mice (Figures 3K–L). The CeA of these same animals were concomitantly transfected with non-Cre-dependent AAV-ChR2. Only caspase-treated VGat-ires-Cre animals failed to display cervical-mandibular activity in response to optical activation of CeA, as shown by electromyogram analyses (Figure 3M–N). In sum, CeA releases craniofacial activity via disinhibition of the parvocellular reticular circuitry.
The parvocellular reticular formation contains both mandibular and cervical premotor neurons
We investigated in greater depth the reticular circuitry mediating CeA control over craniofacial musculatures. The rabies construct SADΔG-GFP(EnvA) was injected into either the jaw-controlling motor trigeminal nucleus (“Mo5”), or the neck-controlling accessory motor nucleus (“11N”) of ChAT-ires-Cre × RΦGT mice (Figure S4A–H). Only PCRt – and to a lesser extent the immediately adjacent intermediate reticular nucleus – was found to contain premotor neurons to both Mo5 and 11N (Figure S4I). Conversely, VGat-neurons in PCRt directly targeted these motor nuclei (Figure S4J–M).
Inhibitory interneurons in PCRt bi-directionally control mandibular and cervical musculatures
We used optogenetics to probe the function of excitatory and inhibitory PCRt populations (Figures 4A–B and S4N–R). In hungry mice offered food pellets, activation of PCRt VGat-positive neurons produced a rapid arrest in oromotor activity, which was immediately resumed upon laser deactivation (Figure 4C and Movie S4). Consistently, this optical stimulation caused an immediate suppression of electromyographic activity in both masseter and trapezius (Figures 4D–E and S4S).
Intriguingly, optical stimulation of PCRt VGlut2-neurons caused only minor effects in electromyography traces (Figures 4F and S4T). In contrast, optical inhibition of VGat-positive neurons in PCRt using the hyperpolarizing green light-sensitive channel archeorhodopsin (Madisen et al., 2012) significantly stimulated electromyographic activity in both masseter and trapezius (Figures 4G and S4U–V). This effect was accompanied by evident oromotor behaviors.
Inhibitory neurons in PCRt mediate the delivery of killing bites but not prey pursuit
Based on the above, we reasoned that both optical and tonic depolarization of PCRt VGat-neurons should attenuate the potential for mice to successfully hunt insect prey. Activating designer receptors specifically in PCRt VGat-neurons completely suppressed the ability to kill and consume crickets (Figure 4H). CNO-treated mice incapacitated mice to deliver killing bites despite the fact that prey were intensively pursued and kept subdued with the assistance of the forepaws (Figures 4I–J and movie S5). This led to numerous pursuit events upon CNO treatment (Figure 4K). Similar effects were observed using optogenetic activation of PCRt VGat-neurons (Movie S5). In fact, VGat-neuron activation impaired mastication while preserving the ability to reach for pellets in a forepaw-based pellet-reaching task (Figure S4W–Z).
Central amygdala projections to the periaqueductal gray matter control prey pursuit
The periaqueductal gray matter (PAG) is a major CeA target previously implicated in predatory attacks (Comoli et al., 2005; Shaikh et al., 1985). We thus hypothesized a role for CeA=>PAG projections in predatory hunting. Synaptobrevin expression analyses revealed a continuous terminal field throughout the ventrolateral and lateral aspects of PAG (VLAPAG and LPAG, Figure 5A). Consistently, slice electrophysiological mapping studies confirmed that optogenetic activation of CeA VGat-terminals robustly inhibited their PAG neuronal targets (Figure S5A–C). Likewise PCRt, Cre-dependent SADΔG-GFP(EnvA) rabies transfection of both VGat+ and VGlut2+ PAG neurons resulted in neuronal labeling in CeA (Figures 5B–C and S5D–E). Locations of rabies-labeled cells throughout CeA levels are shown in Figure S3P.
To assess the functional relevance of these CeA=>PAG projections, VGat-ires-Cre mice were transfected with non-Cre-dependent ChR2 in CeA and optical fibers placed immediately above the CeA neuronal terminals in LPAG/VLPAG. In the same animals, the Cre-inducible excitatory chemogenetic construct AAV-hSyn-HA-hM3D(Gq)-IRES-mCherry was injected into the PAG of both VGat-ires-Cre and VGlut2-ires-Cre mice (Figures S5F–G). CeA=>PAG optical activation enhanced predatory hunting (Movie S6). Specifically, CeA=>PAG optical activation increased pursuit velocities (Figure 5D) and shortened both latency to pursue and overall hunting duration (Figures 5E–F).
To counter the inhibitory effects of CeA on PAG neurons, we combined optical stimulation with administration of the designer drug CNO in both VGlut2-ires-Cre and VGat-ires-Cre mice. We found that all of the hunting-promoting effects produced by optical stimulation were annulled by CNO injections in VGlut2-ires-Cre mice (Figures 5D–F). This is consistent with CeA terminals inhibiting their VGlut2-expressing target cells in PAG (Figure 5G). CNO treatment in VGat-ires-Cre mice failed to significantly alter optically-induced hunting (Figure S5H–J). Finally, and in contrast to CeA=>PCRt, CeA=>PAG activation failed to induce either fictive feeding or approach towards non-food items (Figure S5K–O).
Periaqueductal gray matter projections to the mesencephalic locomotor region gate predatory hunting
We investigated in greater depth the downstream targets of the hunting-controlling PAG[VGlut2+] neurons. Interestingly, analyses of Cre-inducible synaptobrevin expression revealed that VGlut2-neurons in VLPAG/LPAG project densely to dorsolateral midbrain (e.g. pendunculopontine and cuneiform nuclei Figure S5Q). These areas are located within the mesencephalic locomotor region (“MLR”, Skinner and Garcia-Rill, 1984). In contrast, similar synaptobrevin analyses failed to reveal terminals in MLR of VGat-ires-Cre mice (Figure S5R). The functionality of the PAG[VGlut2+]=>MLR pathway was further suggested by combining Cre-inducible synaptobrevin and retrograde labeling (Figure S5S). We then transfected VLPAG/LPAG of VGlut2-ires-Cre mice with Cre-dependent ChR2, and optical fibers were placed immediately above the PAG neuronal terminals in MLR. As expected, optical activation caused a significant reduction in pursuit velocity (Figure 5H), as well as significant increases in both latency to pursue (5I) and prey capture duration (5J).
Central amygdala controls the mesencephalic locomotor region via the periaqueductal gray matter
Finally, we tested the presumed functionality of the CeA=>PAG=>MLR pathway. In the same VGat-ires-Cre mice, we transfected the CeA with Cre-inducible ChR2, implanted optical fibers above CeA terminals in PAG, and transfected the MLR with the non-Cre-dependent excitatory chemogenetic designer receptor. We hypothesized that administering the designer drug CNO would negate the hunting promoting effects produced by CeA=>PAG optical activation. In other words we predicted that this treatment would mimic the effects of activating PAG VGlut2-neurons during prey pursuit. Consistently, CNO administration completely annulled the hunt-promoting effects of CeA=>PAG activation on pursuit latencies and capture duration, albeit having a more modest suppressing effect on velocities (Figures 5K–M). Importantly, all experiments involving the PAG=>MLR pathway failed to influence performance on open field tests (Figure S5T–W).
Co-activation of the CeA=>PCRt and CeA=>PAG pathways is sufficient to induce robust hunting
From the series of studies above we inferred that different CeA downstream targets mediate craniofacial control vs. prey pursuit. Consistently, dual retrograde tracer injections in PAG and PCRt revealed that CeA neuronal groups projecting to PAG versus PCRt are largely segregated (Figures 6A). We then analyzed the effects of activating both pathways simultaneously.
In the same VGat-ires-Cre mice, we transfected the CeA with Cre-inducible ChR2, and implanted bilateral optical fibers above CeA terminals in both PAG and PCRt (Figures 6B and S6A). Although activating the CeA=>PAG pathway alone led mice to pursue artificial prey, only stimulation of the CeA=>PAG + CeA=>PCRt pathways combined led mice to robustly initiate predatory attacks on artificial prey (Figures 6C–D, S6D–G and movie S2).
The hunting of live prey involves fewer biting attacks than hunting artificial prey, as one lethal bite generally suffices. Thus, the significant effects of the combined stimulation on pursuit velocities, latencies and capture duration closely mimicked those produced by activating CeA=>PAG alone (Figures 6E–G). Interestingly, activation of CeA=>PCRt alone caused animals to engage in fictive feeding even when in the presence of prey, which resulted in slower velocities and longer latencies and capture durations (Figures 5E–G).
To confirm the results above, we transfected the PCRt and/or PAG of wild-type mice with a retrogradely transported, monosynaptic canine adenovirus carrying a Cre-GFP construct (CAV2-Cre, Junyent and Kremer, 2015). CeA was then transfected with Cre-inducible ChR2-mCherry and implanted with optical fibers (Figures 6H–I and S6H–L). Overall, the effects observed in these three groups of mice (CAV2-Cre injected only into PCRt, only into PAG, or into both PAG+PCRt) closely mimicked those produced by the multi-optical fiber approach described above (Figures 6J–L).
These activation studies allow for three related conclusions. First, the CeA=>PAG pathway controls the decision to initiate prey pursuit (via reducing latencies to initiate pursuit). Second, CeA=>PCRt neurons control mandibular-cervical coordination and produce fictive feeding. Third, the net effect of activating both pathways was to cause both a short-latency/faster pursuit and forceful biting attacks. This consistently led to reduced hunting durations.
Pathway-defined lesions to central amygdala neurons differentially impair skilled hunting
Finally, we aimed at analyzing the effects of ablating CeA neurons projecting to PCRt or PAG. This was achieved by transfecting the PCRt or PAG of wild-type mice with CAV2-Cre. Next, CeA was transfected with the viral construct that induces Cre-dependent caspase expression.
CAV2-Cre transfection in target sites induced GFP expression patterns that were locally restricted to CeA, mainly at its rostral levels, a pattern markedly reduced by caspase application (Figures 7A–B and S7A–P). In contrast, caspase injections neither affected PCRt- or PAG-projecting neurons in hypothalamus nor overall neuronal survival in CeA (Figure S7Q–T).
Pathway-specific lesions revealed clear functional dissociations between the two CeA subpopulations. Lesions to the CeA=>PAG pathway produced a ~10-fold lengthening in the latencies to pursue prey; in contrast, no latency effects were observed after lesions to the CeA=>PCRt pathway (Figure 7C). Velocities during pursuit were only moderately affected by lesions to the CeA=>PAG pathway (Figure S7U; intriguingly, these patterns very closely match those produced by depolarizing MLR neurons upon CeA=>PAG activation, see Figures 5K–M). Conversely, lesions to the CeA=>PCRt pathway produced a robust lengthening of the time needed to successfully capture prey after pursuit was initiated (Figure 7D). No effects on capture duration were observed after lesions to the CeA=>PAG pathway, as these animals achieved capturing prey using their jaws once the delayed prey pursuit was initiated (Figure 7D).
The defects in capturing prey observed in CeA=>PCRt ablated mice resulted from a conspicuous alteration in hunting strategy. When facing insect prey, control mice characteristically extended the neck, oriented the head towards the prey, and rapidly captured prey using coordinated movements of jaws and forepaws. Mice sustaining lesions to CeA=>PCRt, in contrast, kept their head closer to the trunk and generally attempted to capture prey using the forepaws without any assistance from the jaws (Movie S7). In fact, mice sustaining lesions to CeA=>PCRt, but not to CeA=>PAG, frequently failed to capture prey using their jaws (Figure 7E and S7V). This was then paralleled by the frequent display of attempting prey capture only using forepaws (Figure 7F). Consistently, mice sustaining lesions to CeA=>PCRt, but not to CeA=>PAG, displayed debilitated incisor biting forces (the pair of teeth used to perforate live prey, Figure 7G and S7W).
Pathway-defined lesions to central amygdala neurons altered electromyogram markers of predatory hunting
Z-scores from the electromyogram patterns recorded during the hunting sessions were plotted onto the two-dimensional masseter × trapezius space. In both control mice and mice sustaining lesions to CeA=>PAG, unsupervised algorithms sharply separated hunting vs. non-hunting events, i.e. rarely incurred in misclassifications (Figures 7J–K). In contrast, in mice sustaining lesions to CeA=>PCRt, clustering was significantly less efficient, with ~20% of hunting events being assigned to extraneous clusters (Figure 7I). In other words, lesions to CeA=>PCRt abolished the cervical-mandibular neuromuscular command deployed during predatory hunting (Figure S7X–MM).
Discussion
Our findings imply the central amygdala (CeA) as a modular command system (Ewert et al., 1990; Kupfermann and Weiss, 1978) for predatory hunting. Via two independent set of descending projections, CeA controlled distinct behavioral modules associated with efficient predation.
From an anatomical standpoint, the CeA is ideally positioned to mediate predation in vertebrates. The CeA projects densely to the parvocellular reticular formation (Shammah-Lagnado et al., 1992; Swanson and Petrovich, 1998; Van Daele et al., 2011), which comprises both cervical and mandibular premotor populations (Tellegen and Dubbeldam, 1999). We found that this arrangement allows for CeA control over the delivery of lethal biting attacks upon prey. Interestingly, the parvocellular reticular formation also contains triceps muscle premotor pools (Esposito et al., 2014), implying that this reticular circuitry may mediate prey capture via the coordinated action of craniofacial, cervical and forelimb systems.
CeA also projects densely to the central grey, which we found to innervate and control the adjacent mesencephalic locomotor region (Skinner and Garcia-Rill, 1984). We found that via this innervation CeA exerts control over the decision to initiate prey pursuit – which is characterized by predator stalking and possibly running towards prey. These central gray projections to locomotor regions also constitute a descending pathway that is independent from projections recently found to mediate gray matter-induced freezing and flight (Tovote et al., 2016). These parallel CeA projections to reticular formation and gray matter provide a long-sought tractable network model for the integration of locomotion with prey capture (Wainwright et al., 2008).
The pattern of afferent inputs to CeA also mirrors its critical role in predation. Glutamatergic afferents arising from cortical olfactory brain regions densely target the CeA (Shammah-Lagnado and Santiago, 1999). Visual and auditory inputs are also critical for prey detection in mice (Hoy et al., 2016). CeA neurons activated by such inputs may convey prey-associated sensory information to downstream premotor circuits. Incoming prey-specific sensory inputs, which are bypassed by optical and chemogenetic exogenous activations, must thus confer the goal-directedness nature of predation. Our model is thus consistent with the notion that CeA responds to incentive cues (Robinson et al., 2014) – such as the sight or smell of prey – which act to elicit appropriate motor actions.
The rodent CeA, including its downstream projections to the gray matter, has been traditionally linked to threat detection (Davis, 1998; LeDoux et al., 1988; Tovote et al., 2016). Surprisingly, we failed to observe any occurrences of freezing upon optical stimulation of CeA. This was corroborated by the robust activation of the trapezius upon CeA stimulation, as the flattening of neck electromyogram traces is a reliable manifestation of freezing in mice (Steenland and Zhuo, 2009). We should note, however, that our lesions preserved caudal aspects of CeA, including its capsular subnucleus. Consistently, more caudal subnuclei of CeA contain genetically defined populations whose activation both suppress feeding (Cai et al., 2014) and mimic threat-induced reactions (Janak and Tye, 2015). Moreover, and in sharp distinction to optical stimulation of medial amygdala (Hong et al., 2014), we failed to observe attacks towards conspecifics upon CeA stimulation. Such contrast is presumably due to dedicated projections to hypothalamic attack areas from the medial, but not the central, nucleus of the amygdala (Canteras et al., 1995; Motta et al., 2009).
Finally, we note that morphological transition from jawless to jawed vertebrates resulted in the reconfiguration of craniofacial systems, including the emergence of a separate shoulder girdle supporting distinctive cervical muscles (Trinajstic et al., 2013). The emergence of a neck therefore appears as a distinct innovation inherent to jawed vertebrates (Kuratani, 2013; Tada and Kuratani, 2015; Trinajstic et al., 2013). Such an arrangement strongly favors efficient predation (Montuelle et al., 2009). We thus speculate that the emergence of jawed vertebrates was met with equivalent reconfigurations of amygdalar systems. Consistently, only the jawless lamprey appears to lack a differentiated “striatal” amygdala (Maximino et al., 2013), i.e. a CeA-homologous, peptide-rich structure within the amygdalar complex. Developmental genetic studies may determine the extent to which the emergence of a striatal amygdala constitutes an evolutionary novelty linked to the appearance of cervical-mandibular muscles.
STAR Methods
Contact for Reagents and Resource Sharing
Further information and requests for reagents should be directed to, and will be fulfilled by the Lead Contact Ivan E de Araujo <IAraujojbpierce.org, ivan.araujoyale.edu>.
Experimental Model and Subject Details
All experiments presented in this study were conducted according to the animal research guidelines from NIH and were approved by the Institutional Animal Care and Use Committee of The J.B. Pierce Laboratory.
Experimental Animals
A total of 176 adult male mice were used. Strain details and number of animals in each group are as follows:
85 VGat-ires-Cre (Slc32a1tm2(cre)Lowl/J (Jackson Laboratories stock #016962)
30 VGlut2-ires-Cre (Slc17a6tm2(cre)Lowl/J (Jackson Laboratories stock #016963)
14 VGat-floxed (Slc32a1tm1Lowl/J (Jackson Laboratories stock #012897)
6 Chat-ires-Cre × RΦGT = Chat-Cre (B6;129S6-Chattm2(cre)Lowl/J (Jackson Laboratories stock #006410) × RΦGT (B6;129P2-Gt(ROSA)26Sortm1(CAG-RABVgp4,-TVA)Arenk/J (Jackson Laboratories stock #024708)
41 C57BL/6J (Jackson Laboratories stock #000664).
All mice used in experiments were individually housed under a 12 hr light/dark cycle. At the time of the experiments, animals were 8–20 weeks old. Littermates of the same sex were randomly assigned to experimental groups. Animals weighted approximately 25–28 grams. All animals were used in scientific experiments for the first time. This includes no previous exposures to pharmacological substances or altered diets. The only pre-experimental intervention was acclimation to crickets, where all mice were food restricted for two consecutive dark cycles (2.5gram of food chow) and presented with five crickets for hunting habituation. All animals captured and consumed all crickets during habituation. Health status was normal for all animals.
Method Details
Stereotaxic viral injections and optical fiber implantation
For all details on viral and tracer injections for each mouse strain, see Supplemental Tables S1–S8. In all cases, preoperative analgesia: 5mg/Kg Carprofen (i.p.), anesthetic: 2% Isoflurane throughout, postoperative analgesia: 30mg/Kg Ibuprofen (in drinking water). Injections were performed with a Hamilton 1.0µL Neuros Model 7001KH syringe. Tables provide details for each strain separately. We list the viral construct/tracer injected, the relevant stereotaxic coordinates, and when applicable the relevant stereotaxic coordinates for optical fiber implants. When optogenetic and chemogenetics and/or caspase lesions were combined, the relevant constructs and coordinates are also listed on the same cell. Optical fibers were obtained from Doric Lenses Inc., and outer diameter is 240µm; core diameter is 200µm; numerical aperture is 0.22. Stereotaxic coordinates are with respect to bregma, according to standardized atlases of the mouse brain.
Retrograde tracing from cranial and cervical muscles
Mouse strain Chat-Cre × RΦGT
Mo5 (AP-5.1 mm, ML: 1.5mm, DV: −5.0mm) was injected unilaterally with SAD-ΔG-GFP 0.5µL. Appropriate location of viral injections was confirmed by injecting the Masseter with 1% FG 10µL, 0.5µL/min. 11N was also injected unilaterally with SAD-ΔG-GFP 0.5µL. To correctly target 11N, the mouse head was lowered; the skin open and blunt dissection of the cervical muscles exposed the cruciate ligament of atlas between the occipital bone and the first cervical vertebra. Ligament was adjusted to horizontal level. 0.5 µL SAD-ΔG-GFP was then injected 2.0mm caudal to the occipital bone, lateral 0.4mm from the midline, ventral 1.7mm from the ligament. Appropriate location of viral injections was confirmed by injecting the Trapezius: 1% FG 10µL, 0.5µL/min. 3 mice for Mo5 and 3 mice for 11N were used.
Histological procedures
Mice were deeply anesthetized with a ketamine/xylazine mix (400 mg ketamine + 20 mg xylazine kg body weight−1 I.P.). All animals were perfused with filtered saline, followed by 4% paraformaldehyde. Following perfusion, brains were left in 4% paraformaldehyde for 24 hours and then moved to a 20% sucrose solution in 0.02 M potassium phosphatebuffer (KPBS, pH 7.4) for 2 days. Brains were then frozen and cut into four series 40µm sections with a sliding microtome equipped with a freezing stage. To identify fiber and electrode locations, relevant sections were identified and mounted on slides. Sections were then photographed under bright field and fluorescence. For SynaptoBrevin visualization, 4 weeks after viral injection, mice were perfused and brains cut at 40µm. The GFP signal was amplified with Goat Anti-GFP antibody (FITC), (ab6662, Abcam, 1:500). For SynaptoBrevin experiments combined with FluoroGold muscle injections, seven days after muscle injections animals were perfused as above and brains sliced in 40µm sections. For verifying the extension of caspase-induced lesions, slices were incubated with Mouse Anti-Neuronal Nuclei (NeuN, MAB377, Millipore, 1:500) followed by TRITC-conjugated affinipure goat anti-mouse (IgG(H+L) 15-025-166, Jackson Immuno, 1:200). For visualizing FG/CTb dual injections, eight days after the injections, perfuse and slices the brain for 40µm. For visualization of rabies expression, ten days after the rabies injections, animals were perfused and expression was observed in coronal sections at ~160µm intervals. Visualized cells were overlaid on a mouse brain atlas template.
C-Fos measurements
For determining the effects of optical stimulation on PCRt neuronal activity, unilateral 20Hz stimulation was performed using 10s-long ON(0.02s on/0.03s off cycles were used during the ON cycles)/10s-long OFF cycles for 10 minutes. For determining the combined effects of optically activating CeA and concomitantly chemogenetically activating PCRt, 10mg/Kg CNO i.p. were injected 10 mins before the CeA 1Hz laser stimulation. Unilateral 1Hz stimulation was performed using 10s ON (0.5s on/0.5s off cycles were used during the ON cycles)/10s OFF cycles for 10 minutes. 90 minutes after the appropriate stimulation, mice were sacrificed and perfused as described before. To visualize Fos immunoreactivity, the ABC/DAB procedure was used. Briefly, brain sections was incubated with Rabbit Anti-c-Fos antibody (PC38, Calbiochem, 1:10000) (Concentration 1:10000), followed with Biotinylated Goat Anti-Rabbit IgG Antibody (BA-1000, Vector Laboratories, 1:200), then reacted with avidin-biotin-peroxidase complex (“ABC” method, Vectastain Elite ABC kit, Vector Laboratories, 1:200). A nickel diaminobenzidine (Nickel-DAB) glucose oxidase reaction was used to visualize Fos-like immunoreactive cells. Fos expression was analyzed and quantified as follows: Coronal sections at ~160µm intervals in PCRt near the fiber implantation or Gq injection were photographed at 10× magnification and montaged with Adobe Photoshopto to preserve anatomical landmarks. Fos+ neurons were counted manually on each slice (3 slices per animal) and expressed as the cumulative sum of Fos+ neurons within the relevant regions for each animal.
Electromyogram electrodes, recordings and analyses
First, two twisted Formvar-Insulated Nichrome Wires (Diameter: Bare 0.002 inch. A-M system) were covered with polyethylene tubing (PE20, 0.15” × 0.45”, Braintree scientific). The tips of the nichrome wires were bared and exposed. One bare wire tip was soldered to a Male Miniature Pin Connector (520200, A-M Systems). The other bare wire tip was inserted through a 30G needle, and the tip bent and used for the implants into the trapezius or masseter muscles. For implants, preoperative analgesia consisted of 5mg/Kg Carprofen, anesthetic was 2% Isoflurane throughout and postoperative analgesia, 30mg/Kg Ibuprofen. The skin of cheek was shaved and open to expose the masseter, or the skin on the back of the neck was open to expose the trapezius. The needle was then used for insertion of the wire into the muscle, with the bare wire hooked into the muscle. A suture was used to fix the wire in place. Skin was closed and a cemented miniature screw inserted into the parietal bone for fixating the remaining the polyethylene. Recordings were performed using the electromyogram module of a multichannel acquisition processor (Tucker-Davis Technologies, 3052Hz sampling rate). The male pin connector was attached to the female connector, which had been soldered to a recording headstage. Laser pulses timestamps were synchronized to the recordings via external TTL pulses into the TDT system. EMG signals from masseter and trapezius were recorded simultaneously in the same animals.
In vivo Electrophysiological recordings
For array implantation C57BL6/J mice (N=5) were placed on the stereotaxic apparatus and one electrode array consisting of 16 tungsten microwires (35-µm diameter, OMN1005, TDT systems) was implanted onto CeA (AP:−0.9mm ~1.4mm ML: 2.5mm ~ 2.7mm DV:−4.8mm). Locations of electrodes were confirmed histologically. Recordings were performed in combination with masseter recordings by simultaneously using the spike and EMG modules of the multichannel acquisition processor (Tucker-Davis Technologies). Previous to the neuronal and electromyogram recording sessions, mice were connected to commutators with flexible cables for habituation to recording conditions for one training session.
Slice electrophysiology
On the day of the experiments, VGat-Cre mice with selective ChR2 expression in CeA or PCRt neurons were anesthetized with isoflurane and decapitated for electrophysiological identification of ChR2-expressed neurons and circuit mapping. Brains were quickly removed and immersed in an ice-cold high-sucrose solution containing (in mM): 220 sucrose, 2.5 KCl, 6 MgCl2, 1 CaCl2, 1.23 NaH2PO4, 26 NaHCO3, and 10 glucose (gassed with 95% O2 / 5% CO2; 300–305 mOsm). Coronal brain slices 300 µm thick were sectioned using a vibratome. Brain slices were then transferred to an incubation chamber filled with an artificial CSF (ACSF) solution containing (in mM) 124 NaCl, 2.5 KCl, 2 MgCl2, 2 CaCl2, 1.23 NaH2PO4, 26 NaHCO3, and 10 glucose (gassed with 95% O2 / 5% CO2; 300–305 mOsm) at room temperature (22 °C). After a 1–2 hrs recovery period, slices containing CeA, PCRt, or PAG were selected and transferred to a recording chamber mounted on a BX51WI upright microscope (Olympus, Tokyo, Japan). The recording chamber was perfused with a continuous flow of gassed ACSF. A dual-channel heat controller (Warner Instruments, Hamden, CT) was used to control the temperature of recording solution at 33 ± 1 °C. Whole-cell patch-clamp recordings were performed on neurons in CeA, PCRt or PAG that were visualized using an infrared-differential interference contrast (DIC) optical system combined with a monochrome CCD camera and a monitor. Pipettes were pulled from thin-walled borosilicate glass capillary tubes (length 75 mm, outer diameter 1.5 mm, inner diameter 1.1mm, World Precision Instruments) using a P-97 micropipette puller (Sutter Instruments, Novato, CA). Pipette solution containing (in mM) 145 K-gluconate, 1 MgCl2, 10 HEPES, 1.1 EGTA, 2 Mg-ATP, 0.5 Na2-GTP, and 5 Na2-phosphocreatine (pH 7.3 with KOH; 290–295 mOsm) were used for whole-cell recording. The pipettes of resistances ranging from 3 to 6 MΩ were used for experiment. EPC-10 patch-clamp amplifier (HEKA Instruments, Bellmore, NY) and PatchMaster 2.20 software (HEKA Elektronik, Lambrecht/Pfalz, Germany) were used to acquire and analyze data. Pipette and cell capacitance were compensated during experiment and neurons for which the series resistance was >20 MΩ were excluded from the statistics. Traces were processed using Igor Pro 6.36 (Wavemetrics, Lake Oswego, OR). Inhibitory postsynaptic currents were recorded at the holding potential of −40 mV unless otherwise mentioned. A 473 nm blue laser (Doric Lenses) was used to evoke the stimulation for optogenetic activation of ChR2 channels in brain slices. Continuous stimulation and stimulation of 10 ms duration with different frequency (1, 5, 10, 20 Hz or 1Hz, 500ms) were used in the experiment to test photostimulation-evoked response. For recording VGlut2+ neurons in PAG innervated by ChR2+ CeA afferents, VGlut2-ires-Cre mice transfected with AAV5-DIO-mCherry in PAG were used.
Behavioral Studies
Video scoring
All behavioral sessions were video-recorded using a high-speed (120fps) camera (DMC-FZ200, Panasonic). Video scoring was performed by extracting timestamps associated with the relevant behavioral events (which are listed below). Timestamp extraction made use of the CPU’s clock during video execution and was obtained using custom software available upon request. A number of measurements, including overall locomotion and displacement velocity made use of automated video analyses (EthoVision XT11.5, Noldus).
Cricket hunting during optogenetics experiments
Mice, either fed ad libitum or food restricted (“deprived” 2.5g chow/day), were placed in a clean empty cage for 30mins before the laser stimulation. 10 min before the laser stimulation, the cage was cleaned again, and at the beginning of each trial. The mouse was located on one corner of the cage whereas the cricket was released into the cage near the diagonally opposite corner. A stationary object or an artificial moving prey also was gently placed in the diagonally opposite corner of the cage. Stationary objects were one of the following: wood stick cut from applicators (diameter 0.15cm length 1.5cm (short) or 5cm (long)); Small bottle cap (1cm diameter, 0.6cm high); Tape roll (5cm diameter, 2.5cm high); Food pellet (3g of regular chow 5001, Labdiet); Soft pellet (3g of 24%Fat pellet D12451, Research Diets, Inc); Hard pellet (3g 35% Sucrose pellet, D12450B, Research Diets, Inc). The moving artificial prey was a miniature battery powered robot (HEXBUG Nano obtained from Amazon.com).
Optical Stimulation regimens
Stimulation frequencies were chosen according to the outcome of the slice electrophysiological studies. Although we did not detect major differences between stimulation frequencies in terms of evoking (or failing to) behavior, we used the following frequencies in each case. For CeA laser stimulation: 473-nm blue laser (or 532-nm green laser), stimulation was performed using 1min OFF - 1min ON (1Hz, 0.5s on/0.5s off cycles were used during the ON period) - 1min OFF cycle totaling 3 mins.
PCRt/CeA=>PCRt or CeA=>PAG: 473-nm blue laser (or 532-nm green laser) stimulation was performed using 1min OFF - 1min ON (20Hz, 0.02s on/0.03s off cycles were used during the ON period) - 1min OFF cycle for totally 3 mins.
House crickets (Grillus domesticus) were purchased from pet food providers (PetCo.com and www.flukerfarms.com). All mice were habituated to hunt and eat crickets for two days before the test day. During habituation, the mice were 2.5g chow restricted, and presented with 5 crickets to hunt overnight. During the test, the mice were 2.5g chow restricted. Behaviors were digitally recorded with high-speed (120fps) camera (DMC-FZ200, Panasonic). Cricket specifications are as follows: large crickets, ~1 inch, 0.5g. Small crickets, ~0.5 inch, 0.1g. Experiments were performed on standard mouse home cages.
Behavioral parameters
Latency to hunt: time taken from mice fixating at the crickets until mice actually start the pursuit. Capture duration: time taken from mice starting to pursue the crickets until successfully capturing the crickets using either the fore-paws or the mouth, not necessarily killing the crickets. Eating duration: time taken from mice capturing the crickets until mice stopped eating the crickets. Attempt with mouth: Mouse tries to capture the cricket only using biting or biting with forepaw assistance. Attempt with forepaw: Mouse tries to capture the cricket using only fore-paws. In every trial, once mice stopped eating the crickets, any insect residuals were removed, and another live cricket was then placed into the cage. All the experiments were repeated 5 times per animal and averages taken.
For the hunting data specifically shown in the Results section of the manuscript, the experimental conditions were as follows: CeA stimulation: Mice were either fed ad libitum satiated or food restricted at 2.5g chow/day. 1Hz laser. One cricket per trial. All the results shown correspond to averages over five trials.
Chemogenetic activation
Clozapine-N-Oxide (1mg/kg) was injected i.p. 10mins before the start of the hunting sessions.
Food intake during optogenetics and Chemogenetic stimulation
Mice were single caged and 2.5g chow/day food restricted. Soft food (chow) or hard food (High sugar pellet: #D12450B, Research Diet, USA) was placed in their home-cage at the same time of the day. After 1hour free consumption, the pellets were removed and weighted. After 3 days of habituation with either laser cable connection or Saline i.p. injection, on the test day, the mice were exposed to laser (Laser cycle of 5min ON – 5min OFF for 1Hr. During the ON period, 473-nm blue stimulation was performed 1Hz of 0.5s on/0.5s off cycles.) or i.p injected with CNO (1mg/kg). The total food intake was weighted and the eating behavior video recorded for further analysis.
Open field tests
To assess locomotor activity in response to laser stimulation, animals were placed on a novel Plexiglas arena (Med Associates, 25 cm × 30 cm). The total area was divided into nine equal rectangular subareas (8.3 × 10 cm), demarcated with yellow tape. Immediately above the central subarea a 150-W lamp was activated to induce natural aversion to this particular location, as usually performed. Animals were tested once in this arena. The laser cycle was randomly chosen for 5min ON – 5min OFF or 5min OFF – 5min ON. During the ON period, 473-nm blue laser (or 532-nm green laser) stimulation was performed 1Hz of 0.5s on/0.5s off cycles. The sessions were digitally recorded with a Sony HDR-CX440 camera. Data were analyzed by replaying the sessions in slow motion. Outcomes were the number of sequential crossings over different adjacent yellow lines (representing total locomotor activity), and relative time spent within the illuminated central part of the arena.
Pellet reaching task
Mice were food-restricted to 2.5g/day. The training chamber was built from clear Plexiglas (4mm thickness; 30cm × 30cm × 30cm). One vertical slit (1 cm wide; 3-cm high) was located on the front wall of the box. Single reachable sugared food pellets (0.02g, BioServe) were located 1 cm away from the slit, on a platform of 1.5 cm height. Two photodetectors were located on either side of the platform; the centerline of the two photodetectors is 2mm above the pellet. After one day of habituation to the box without presentation of pellets outside the slit, the assay consisted of 2 phases: shaping and training. During the shaping phase (day 1), mice are allowed to reach for multiple pellets presented to them outside the box to determine the preferred limb. During the training phase (day 2–8), individual pellets are placed in front of the slit on the opposite side the preferred limb. When mice can reach 20 pellets within 10mins, we consider the mice learned the performance. For the test day, all the behaviors were recorded with two cameras (one in front of the slit and the other one beside the cage). Once the forepaw crosses the slit and touches the pellet, the photodetector will detect the movement and trigger the laser source via a programmed TTL pulse (20Hz, 0.02s on/0.03 off cycles for 5s). All mice performed 20 trials. The photodetector activated the laser source for every other presented pellet. The Reaching accuracy was determined using slow motion video surveillance according to 4 criteria: “miss” (no touch with the pellet during reach), “no grasp” (paw contact with pellet but no correct grasping), “drop” (the pellet is retrieved but falls before taking it into the mouth), “success” (the mouse retrieves the pellet directly to its mouth). Success rate was calculated as the percentage of successful reaches over total reaching attempts.
Locomotion test
Mice were either fed ad libitum satiated or food restricted at 2.5g chow/day, were connected to the laser cable and placed in a clean cage or home cage for 30mins before the laser stimulation.
CeA laser stimulation: 473-nm blue laser 1min (1Hz, 0.5s on/0.5s off cycles).
CeA=>PCRt/CeA=>PAG: 473-nm blue laser 1min (20Hz, 0.02s on/0.03s off cycles).
All behaviors were videotaped from above the cages. Videos were analyzed with Ethovision XT11.5 (Noldus). Parameters involved defining the arena, define mouse contour vs. background contrast. Parameters extracted included distance covered, velocity and mobile frequency.
Measurement of incisor bite forces
Measurement of biting forces was obtained using an accurate single point load cell system (OEM Style Single Point Load Cells, Omega). The system was connected to a purpose-built, 3D-printed mouth piece whose dimensions (H=1mm × W=5mm) were based on incisor morphology of adult C57BL6/J mice. Output signals were digitized via a National Instruments board (NI USB-6009) and fed into a custom LabView v2014-based computer interface. Awake animals were restrained for the biting tests, as usually performed. Raw signals obtained during biting periods were averaged and entered into statistical analyses software. Our baseline measurements in control mice (~9–10N) closely match currently published values for healthy adult mice.
Quantification and Statistical Analysis
Data analyses, excluding all electromyogram/electrophysiological data, were performed using SPSS (v.21.0, IBM Predictive Software), Ethovision XT 11.5 (Noldus), GraphPad Prism 7 (GraphPad) and Matlab (v.14a, MathWorks). Animals assigned to the different experimental groups were experimentally naïve littermates, so that no randomization or other a priori criteria were adopted for group assignments. Experimental manipulations were analysed according to within-subject repeated-measures designs. Order of experimental conditions was randomly assigned across subjects. Samples sizes were chosen based on our previous studies employing similar optogenetic, electrophysiological and neuronal ablation approaches. Samples sizes adopted in our current study were sufficient for detecting strong effect sizes while complying with guidelines from local enforcing rules requesting minimal animal usage by J.B. Pierce’s Institutional Animal Care and Use Committee. Experimenters were not blind to experimental conditions. Only animals carrying signs of distress/infection/bleeding/anorexia after the surgical procedures were excluded. Data from all animals used in the experiments were included in the final analyses and plots.
Analysis of Behavioral trials
For all behavioral studies, including those resulting from pathway-targeted lesions, optogenetics and/or chemogenetic experiments, analyses made use of standard linear models (Pearson correlation), as well as one- or two-way (repeated measures) ANOVAs and post-hoc t-tests tests whenever relevant, for correcting for multiple comparisons. All data were reported as mean±SEM. In all cases sample sizes (N) denote number of animals used. All p-values associated with the t-tests performed correspond to two-tailed tests, and all post-hoc tests were corrected for multiple comparisons by employing Bonferroni correction. To assess potentially spurious results associated with non-normality, all significant effects were confirmed by rerunning the tests using the appropriate non-parametric test. All data are individually plotted (Prism 7, GraphPad), and the corresponding bar plot of the precision measures (mean ± SEM) were overlaid on the figure. The exact value of all N (always number of animals), df, T/F/ χ2, and p values are reported in the figure legends. An effect was considered statistically significant whenever the corresponding statistic was associated with a p-value (Bonferroni-corrected when appropriate) strictly less than 0.05.
Analysis of In-vivo electrophysiological data
61 single neurons displaying action potentials of signal-to-noise ratios >3:1, were analysed. Otherwise data were discarded. Data were pooled from five different C57BL6/J mice. The action potentials were isolated online by means of voltage-time threshold windows and a three-principal components contour templates algorithm. Spikes were resorted using the Offline Sorter software (Plexon). Data were then imported into Matlab (v.14a, MathWorks) using custom-written software. To calculate firing rates, instantaneous firing rates were smoothed using Matlab-based filtering with a 60s moving average using 50ms bins. For all neurons recorded, the firing rates of peri-event epoch (e.g. hunting or prey capture) were arranged in a matrix (neurons=rows and bins=columns). The rows of the matrix were normalized as z-scores and then plotted using the corresponding first principal component. To test the significance of firing rate changes, we used an individual unit analysis. A non-parametric Wilcoxon signed-rank test was performed on each unit to determine whether the mean firing rate after the event (e.g. hunting or prey capture) was significantly different from baseline, and units were classified in three populations: Excited, Inhibited; or Neutral. Overall ensemble activity was calculated by averaging the firing rates of each classified population. The exact value of all N (always number of neurons), df, T/F/ χ2, and p values are reported in the figure legends. An effect was considered statistically significant whenever the corresponding statistic was associated with a p-value (Bonferroni-corrected when appropriate) strictly less than 0.05.
Analysis of In-vivo electromyogram data
To perform across-animal analyses of the signal amplitude, signals were full-wave rectified and root mean square (RMS)-converted within moving windows of 50-millisecond duration, and then standardized by calculating the z-scores. Z-scores were calculated based on the duration of the trials and used to: (i) estimate the relative EMG change in response to the presentation of different behavioral actions (i.e. hunting, pray capture and eating) and (ii) identify the number of EMG bursts by using a cut off of z score ≥ 2. Sample sizes (N) always denote number of trials pooled across six different C57BL6/J mice. To determine whether the mean amplitude signal after the event (e.g. hunting or prey capture) was significantly different from baseline, Bootstrap methods were used to randomize the distribution of z-scores around the event and compute the associated p-value accordingly. For cluster analyses, the mean post-event z-score from each animal was plotted on a two-dimensional trapezius × masseter space, since the electromyograms were recorded simultaneously. An unsupervised K-means algorithm was then employed to determine the centroids based on the number of a priori experimental conditions involved in each case. These analyses were performed using custom software programmed in Matlab (v.14a, MathWorks) and are available upon request. The exact value of all N (always number of trials), df, T/F/ χ2, and p values are reported in the figure legends. An effect was considered statistically significant whenever the corresponding statistic was associated with a p-value (Bonferroni-corrected when appropriate) strictly less than 0.05.
Supplementary Material
KEY RESOURCES TABLE.
REAGENT or RESOURCE | SOURCE | IDENTIFIER |
---|---|---|
Antibodies | ||
Goat Anti-GFP antibody (FITC) | Abcam | Cat#
ab6662 RRID:AB_305635 |
Anti-NeuN, clone A60 antibody | Millipore | Cat#
MAB377 RRID:AB_2298772 |
Anti-c-Fos (Ab-5) (4–17) Rabbit pAb antibody | Millipore | Cat#
PC38 RRID:AB_2106755 |
Rhodamine (TRITC)-AffiniPure Goat
Anti-Mouse IgG (H+L) |
Jackson
ImmunoResearch Labs |
Cat#
115-025-166 RRID:AB_2338490 |
Biotinylated Goat Anti-Rabbit IgG antibody | Vector Laboratories | Cat#
BA-1000 RRID:AB_2313606 |
Chemicals, Peptides, and Recombinant Proteins | ||
FluoroGold (FG) | Manufacturer: Fluorochrome Inc; Purchased from Fisher scientific |
Cat# NC0560981 |
Cholera Toxin B Subunit TRITC (CTB) | Manufacturer:
List Biological Laboratories Inc; Purchased from Fisher scientific |
Cat # 50-101-8773 |
Clozapine N-oxide (CNO) | Enzo Life Sciences, Inc. | Cat #
BML-NS105- 0025 |
Critical Commercial Assays | ||
VECTASTAIN Elite ABC HRP Kit
(Peroxidase, Standard) |
Vector Laboratories | Cat# PK-6100 |
Experimental Models: Organisms/Strains | ||
Mouse: C57BL/6J | The Jackson Laboratory | JAX: 000664 |
Mouse: Slc32a1tm2(cre)Lowl/J | The Jackson Laboratory | JAX: 016962 |
Mouse: Slc17a6tm2(cre)Lowl/J | The Jackson Laboratory | JAX: 016963 |
Mouse: Slc32a1tm1Lowl/J | The Jackson Laboratory | JAX: 012897 |
Mouse: B6;129S6-Chattm2(cre)Lowl/J | The Jackson Laboratory | JAX: 006410 |
Mouse:
B6;129P2-Gt(ROSA)26Sortm1(CAG-RABVgp4,- TVA)Arenk/J |
The Jackson Laboratory | JAX: 024708 |
Recombinant DNA | ||
AAV5-CMV-GFP | University of
North Carolina’s Vector Core |
N/A |
AAV5-CMV-Cre-GFP | University of
North Carolina’s Vector Core |
N/A |
AAV5-hSyn-hChR2(H134R)-EYFP | Dr. Karl
Deisseroth- University of North Carolina’s Vector Core |
N/A |
AAV5-EF1a-DIO-hChR2(H134R)-EYFP | Dr. Karl
Deisseroth- University of North Carolina’s Vector Core |
N/A |
AAV-EF1a-DIO-eArch3.0-EYFP | Dr. Karl
Deisseroth- University of North Carolina’s Vector Core |
N/A |
AAV5-EF1a-DIO-EYFP | Dr. Karl
Deisseroth- University of North Carolina’s Vector Core |
N/A |
AAV5-hSyn-DIO-hM3D(Gq)-mCherry | Dr. Bryan Roth -
University of North Carolina’s Vector Core |
N/A |
AAV5-hSyn-DIO-hM4D(Gi)-mCherry | Dr. Bryan Roth -
University of North Carolina’s Vector Core |
N/A |
AAV5-hSyn-DIO-mCherry | Dr. Bryan Roth -
University of North Carolina’s Vector Core |
N/A |
AAV5-hSyn-HA-hM3D(Gq)-IRES-mCitrine | Dr. Bryan Roth -
University of North Carolina’s Vector Core |
N/A |
AAV5-flex-taCasp3-TEVp | Dr. Nirao Shah -
University of North Carolina’s Vector Core |
N/A |
AAV5-CA-FLEX-RG | Dr. Naoshige
- UchidaUniversity of North Carolina’s Vector Core |
N/A |
AAV5-EF1a-FLEX-TVA-mCherry | Dr. Naoshige
– University of North Carolina’s Vector Core |
N/A |
AAV-EF1a-DIO-Synb-eGFP | Ralph DiLeone Lab
/Yale University (Land et al., 2014) |
N/A |
Pseudo-typed rabies construct EnvA
G-deleted Rabies-EGFP |
Salk Institute’s
Gene Transfer, Targeting and Therapeutics Core (GT3). (Wickersham et al., 2007) |
N/A |
CAV2-Cre-GFP | Institut de
Génétique Moléculaire de Montpellier, France (Junyent and Kremer, 2015) |
N/A |
Software and Algorithms | ||
Matlab R20 14a | MathWorks | http://www.mathworks.com/products/matlab/ |
Offline Sorter | Plexon | www.plexon.com/products/offline-sorter |
PatchMaster 2.20 | HEKA | http://www.heka.com/index.html |
Igor Pro 6.36 | WaveMetrics | https://www.wavemetrics.com/ |
EthoVision XT 11.5 | Noldus | http://www.noldus.com/animal-behavior-research/products/ethovision-xt |
LabView 2014 | LabView | http://www.ni.com/download/labview-development-system-2014/4735/en/ |
Acknowledgments
This work was supported by US National Institutes of Health grants R01DC014859 and R01CA180030 (to I.E.d.A.), and R01 DK103176, DK084052 and NS48476 (to A.N.v.d.P.) and the National Natural Science Foundation of China 81671014 (to W.H.), Brazilian Government foundations FAPESP (to M.R., and S.C.M,), Capes (to N.S.C.), and CNPq (to S.C.M.).
Footnotes
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Author Contributions
I.E.d.A. conceived the study. I.E.d.A. and W.H. designed the experiments. W.H, L.A.T., M.R., and S.C.M. performed stereotaxic surgeries, behavioral, electromyogram and optogenetic experiments, and analyzed data. W.H., M.R., S.C.M, S.J.S.-L. and N.S.C. performed histological analysis and imaging. X.Z. and A.N.v.d.P. performed whole-cell patch-clamp experiments and analyzed data. W.H., L.A.T. and I.O.P. performed in vivo electrophysiological experiments and analyzed electromyogram and electrophysiological data. I.E.d.A. wrote the manuscript. All of the authors actively participated in interpreting all data and in manuscript editing.
DATA AND SOFTWARE AVAILABILITY
Custom software are available. See Key Resources Table above for download details.
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