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Logo of nihpaAbout Author manuscriptsSubmit a manuscriptNIH Public Access; Author Manuscript; Accepted for publication in peer reviewed journal;
 
Neuron. Author manuscript; available in PMC Dec 1, 2010.
Published in final edited form as:
PMCID: PMC2891428
NIHMSID: NIHMS156724
A cluster of cholinergic pre-motor interneurons modulates mouse locomotor activity
Laskaro Zagoraiou,1 Turgay Akay,1 James F Martin,2 Robert M Brownstone,3 Thomas M Jessell,corresponding author1 and Gareth B Miles4
1Howard Hughes Medical Institute, Kavli Institute for Brain Science, Depts. of Neuroscience, and Biochemistry and Molecular Biophysics, Columbia University, New York, NY 10032
2Institute of Biosciences and Technology, Texas A&M System Health Science Center, Houston, Texas 77030
3Departments of Surgery, and Anatomy & Neurobiology, Neuroscience Institute, Dalhousie University, Halifax, Canada
4School of Biology, University of St Andrews, St Andrews, Fife, KY169TS, UK
corresponding authorCorresponding author.
Thomas M Jessell: tmj1/at/columbia.edu
Mammalian motor programs are controlled by networks of spinal interneurons that set the rhythm and intensity of motor neuron firing. Motor neurons have long been known to receive prominent ‘C-bouton’ cholinergic inputs from spinal interneurons, but the source and function of these synaptic inputs have remained obscure. We show here that the transcription factor Pitx2 marks a small cluster of spinal cholinergic interneurons, V0C neurons, that represents the sole source of C-bouton inputs to motor neurons. The activity of these cholinergic interneurons is tightly phase-locked with motor neuron bursting during fictive locomotor activity, suggesting a role in the modulation of motor neuron firing frequency. Genetic inactivation of the output of these neurons impairs a locomotor task-dependent increase in motor neuron firing and muscle activation. Thus V0C interneurons represent a defined class of spinal cholinergic interneurons with an intrinsic neuromodulatory role in the control of locomotor behavior.
Keywords: cholinergic interneurons, synapses, locomotor activity, neuromodulation
Motor behaviors are constructed and constrained by neural circuits that coordinate the activation of skeletal muscles. The immediate task of regulating the limb muscles that control many aspects of vertebrate locomotor behavior has been assigned to circuits in the spinal cord, and in particular to networks of interneurons that determine the temporal dynamics of motor neuron activation. Elemental features of locomotion – the rhythm and pattern of motor neuron firing – are controlled by sets of excitatory and inhibitory interneurons that use fast-acting amino acid transmitters (Hochman and Schmidt, 1998; Cazalets et al., 1996; Shefchyk and Jordan, 1985; Fetcho et al., 2008; Orsal et al., 1986). Locomotor programs can also undergo adaptive changes in response to the biomechanical demands of particular motor tasks (Gillis and Biewener, 2001). These context-dependent features of locomotion involve moment-by-moment changes in the frequency of firing of spinal motor neurons, usually triggered by slower-acting modulatory networks of supraspinal and intraspinal origin (Jordan et al., 2008; Grillner 2006). Much has been learned about the organization and function of descending modulatory systems, but the identity, connectivity, and physiological roles of intrinsic spinal modulatory interneurons have been more difficult to untangle.
In many regions of the CNS, modulatory influences on neuronal output and behavior are mediated by sets of cholinergic interneurons that elicit a diverse array of post-synaptic responses. The activation of cortical cholinergic systems modulates sensory threshold, states of attention, and the consolidation of memory (Pauli and O'Reilly, 2008; Giocomo and Hasselmo, 2007; Lawrence, 2008). In subcortical regions, cholinergic interneurons regulate the output of dopaminergic pathways implicated in sensory-motor learning, action selection, and reward (Mena-Segovia et al., 2008; Joshua et al., 2008; Wang et al., 2006; Maskos et al., 2005). Many of these insights into cholinergic modulatory function have emerged through pharmacological manipulation of cholinergic receptor systems, although the widespread distribution of most receptors (Wess, 2003) has made it difficult to establish a clear link between the dynamics of cholinergic microcircuitry and physiological function (Wess, 2003). Defining the contribution of individual classes of cholinergic modulatory interneurons to specific behaviors has therefore been a challenge.
The spinal cord contains several classes of cholinergic interneurons with proposed roles in sensory processing and motor output (Barber et al., 1984; Phelps et al., 1984; Huang et al., 2000). The best characterized spinal cholinergic circuit involves a recurrent excitatory connection from motor neurons to Renshaw interneurons, mediated by the activation of nicotinic receptors (Willis, 1971; Alvarez and Fyffe, 2007). Motor neurons themselves also receive synaptic input from recurrent motor axon collaterals (Lagerback et al., 1981). But the most prominent cholinergic input to motor neurons takes the form of C-boutons, a set of large synaptic terminals that are concentrated on motor neuron cell bodies and proximal dendrites (Conradi and Skoglund, 1969; Nagy et al., 1993; Li et al., 1995). Cholinergic C-boutons align with post-synaptic m2 class muscarinic receptors and Kv2.1 class K+ channels (Hellstrom et al., 2003; Muennich and Fyffe, 2004; Wilson et al., 2004), suggesting that these synapses exert a modulatory influence on motor neuron firing (Brownstone et al., 1992). The activation of muscarinic receptors on spinal neurons reduces spike after-hyperpolarization and leads to a marked enhancement in the frequency of motor neuron firing (Miles et al., 2007). Conversely, blockade of muscarinic receptors in isolated spinal cord preparations decreases motor neuron output (Miles et al., 2007). Together, these findings have led to the idea that C-bouton synapses exert a modulatory influence on spinal motor output.
The neuronal source of C-bouton terminals has proved elusive. They do not derive from descending supraspinal axons (McLaughlin, 1972; VanderHorst and Ulfhake, 2006), or from motor axon collaterals (Hellstrom et al., 1999; Miles et al., 2007), and so by elimination, are thought to originate from one or more populations of spinal interneurons. The persistence of C-boutons after intraspinal lesions has led to the suggestion that they derive from cholinergic interneurons that are interspersed amongst motor neurons in the ventrolateral spinal cord (Hellstrom, 2004). Analysis of the activity-induced pattern of c-fos expression during locomotion, however, shows strong labeling of cholinergic interneurons adjacent to the central canal (Huang et al., 2000). Consistent with this, genetic lineage tracing in mice has provided evidence that C-boutons derive from one or more of cholinergic interneuron classes that populate the intermediate zone of the spinal cord (Miles et al., 2007). But since there are no selective molecular markers for neurons that give rise to C-boutons, the circuitry and physiology of this intrinsic cholinergic system, and its contribution to mammalian motor behavior, have yet to be defined.
We set out to define discrete functional populations of interneurons in mouse spinal cord on the basis of their transcription factor profile, neurotransmitter phenotype, and connectivity. We show here that the paired-like homeodomain transcription factor Pitx2 (Semina et al., 1996) defines a small set of cholinergic V0 interneurons positioned close to the central canal, and establish that these neurons represent the sole source of C-bouton synapses. The firing of cholinergic V0 interneurons is tightly phase-locked with motor neuron burst activity during fictive locomotor episodes, indicative of their recruitment during motor behavior. To explore the consequences of inactivating the output of these cholinergic interneurons we eliminated Choline Acetyl Transferase (ChAT), the sole synthetic enzyme for acetylcholine (ACh), from cholinergic V0 neurons. Mice in which cholinergic V0 neurons have been deprived of ChAT expression are impaired in their ability to increase the activation of specific muscles during certain locomotor behaviors, suggesting that recruitment of this set of cholinergic interneurons is required for the task-dependent enhancement of motor neuron firing. Together, our findings define the organization and properties of a discrete set of spinal cholinergic interneurons that exert a context-dependent modulatory influence on motor behavior.
Pitx2 is expressed by a small subset of V0 interneurons
To define markers of discrete sets of spinal interneurons we performed a microarray screen with cDNA probes derived from dorsal and ventral domains of p8 mouse lumbar spinal cord (Figure S1A). We identified 82 genes with a ventral:dorsal enrichment ratio of 3.0 or greater, and used in situ hybridization histochemistry to determine the profile of expression of these genes. This analysis identified seven genes with patterns of expression that were confined to subsets of interneurons in intermediate and ventral spinal cord (Figure S1B-F). In this study we focus on the phenotype, organization, and function of interneurons defined by one of these genes, which encodes the paired-like homeodomain protein Pitx2 (Semina et al., 1996).
In post-natal lumbar spinal cord, expression of Pitx2 was confined to a longitudinally-arrayed cluster of cells positioned close to the central canal (Figure 1A, B). A similar profile of Pitx2 expression was detected at thoracic and cervical levels, although at cervical levels the domain of Pitx2+ neurons extended slightly more laterally (Figure 1C, D). From the outset, Pitx2 expression was restricted to a small group of neurons (Figure S2A-C). At lumbar levels, Pitx2 expression was first detected at embryonic day (e) 11.5 to 12.0 (Figure S2C), and by late embryonic stages, was restricted to a small group of neurons in the intermediate domain, close to the central canal (Figure S2D). The expression of Pitx2 by neurons in this medial column persisted until at least p30 (Figure S2E).
Figure 1
Figure 1
Origin and neurotransmitter phenotype of spinal Pitx2+ neurons
Pitx2+ neurons comprised two phenotypic subsets, one that co-expressed the cholinergic markers ChAT and vAChT (vesicular acetylcholine transporter), and a second that expressed the vesicular glutamate transporter vGluT2 (Figure 1E-I″). Neurons in the peri-central canal region of p8 lumbar spinal cord did not co-express vAChT and vGluT2 (Figure S3), indicating that these two neurotransmitter-defined sets represent distinct subpopulations. Cholinergic and glutamatergic Pitx2+ neurons were differentially distributed along the rostro-caudal axis of the lumbar spinal cord. At rostral lumbar levels, the majority of Pitx2+ neurons expressed cholinergic markers, whereas glutamatergic Pitx2+ neurons predominated at more caudal lumbar levels (Figure 1J). Cholinergic and glutamatergic Pitx2+ neurons were also detected at thoracic and cervical levels of the spinal cord (data not shown). Thus, Pitx2 marks a small subset of interneurons that can be further subdivided on the basis of neurotransmitter phenotype. Pitx2 expression distinguishes this set of cholinergic interneurons from a nearby population of central canal cluster (C3) neurons (Barber et al., 1984; Phelps et al., 1984) that also express cholinergic phenotype, but lack Pitx2 expression (Figure S4).
We used genetic lineage tracing to determine the developmental origin of cholinergic and glutamatergic Pitx2+ neurons. The provenance of these interneurons was analyzed in a Dbx1::nlsLacZ transgenic line in which the post-mitotic perdurance of LacZ expression marks V0 interneurons (Pierani et al., 2001). In e12.5 Dbx1::nlsLacZ mice we found that ~80% of Pitx2+ neurons co-expressed LacZ (Figure 1L-M′), indicating that they correspond to V0 neurons. Analysis of Dbx1 null mutant embryos, which lack V0 interneurons (Pierani et al., 2001), revealed an absence of Pitx2 expression from neurons in the intermediate spinal cord (Figure 1N, O), confirming the V0 identity of Pitx2+ interneurons. This transcriptionally-defined population represents a very minor subset of the total V0 interneuron cohort: Pitx2 was expressed by only 5% of all LacZ+ neurons in e12.5 Dbx1::nlsLacZ embryos (Figure 1K, L). V0 interneurons have been shown to comprise Evx1/2+ (V0V) and Evx1/2- (V0D) divisions (Lanuza et al., 2004). Soon after their generation, virtually all Pitx2+ neurons co-expressed Evx1, albeit transiently (Figure 1P, Q). Thus, the cholinergic (V0C) and glutamatergic (V0G) interneuron populations marked by Pitx2 appear to constitute small subsets of V0V interneurons.
Genetic tracing of V0C and V0G interneuron connectivity
To define the connectivity of V0C and V0G neurons we crossed a mouse Pitx2::Cre line, which directs expression of Cre recombinase selectively in Pitx2+ neurons (Liu et al., 2003) with conditional Thy1.lsl.YFP, or Tau.lsl.mGFP reporter strains (Buffelli et al., 2003; Bareyre et al., 2005; Hippenmeyer et al., 2005). We detected fluorescent protein (FP) expression in a small subset of interneurons close to the central canal (Figure 2A, B). At rostral lumbar levels, FP expression was detected in 66% of all Pitx2+ neurons in Thy1.lsl.YFP mice, and in 74% of all Pitx2+ neurons in Tau.lsl.mGFP mice (Figure 2C-D′ and data not shown). Examination of the neurotransmitter status of genetically marked neurons in Tau.lsl.mGFP mice revealed FP expression in 94% of cholinergic Pitx2+ interneurons, and in 56% of non-cholinergic Pitx2+ interneurons. Thus V0C interneurons are labeled with high efficiency in Tau.lsl.mGFP mice.
Figure 2
Figure 2
Genetic marking of Pitx2+ neurons
To trace the targets of V0C and V0G neurons, we mapped FP-labeled axons and terminals in the spinal cord of Pitx2::Cre; Tau.lsl.mGFP mice, in conjunction with synaptic expression of the cholinergic markers vAChT and ChAT, and the glutamatergic marker vGluT2. Analysis of the overall pattern of FP-labeled axons and terminals from p8 to p25 revealed a high density in the ventral horn and intermediate zone, and a lower density in the dorsal horn (Figures 3A, S5). In the ventral horn, the cell bodies and proximal dendrites of virtually all vAChT+ motor neurons were studded with large FP-labeled boutons (Figure 3B, C) whereas more distal dendritic domains exhibited a > 20-fold lower FP+ bouton density (Figure 3H, I). We found that ~99% of the FP-labeled boutons on motor neurons expressed vAChT, and none of them co-expressed vGluT2 (Figure 3D-D[triple prime]). Conversely, 95% of all vAChT+ C-boutons on motor neurons expressed FP. Consistent with their identity as C-boutons, FP-labeled terminals on motor neurons were aligned with post-synaptic m2 muscarinic receptors and Kv2.1 channels (Figure 3F, G). These findings, taken together with the 94% labeling efficiency of cholinergic Pitx2+ interneuron cell bodies, indicate that V0C neurons represent the sole source of C-boutons. Moreover, motor neurons receive preferential input from the V0C subset of Pitx2+ neurons.
Figure 3
Figure 3
Genetic tracing of V0C neuronal connections with motor neurons
We next examined the connectivity of Pitx2+ neurons with spinal interneurons. We detected FP-labeled vGluT2+ boutons in the intermediate zone and dorsal horn of Pitx2::Cre; FP reporter mice (Figure 3E-E″; data not shown), providing evidence that the V0G class of Pitx2+ neurons forms connections with spinal interneurons. We also detected a low density of FP-labeled vAChT+ boutons in the intermediate zone of the spinal cord of p20 to p40 Pitx2::Cre; Tau.lsl.mGFP mice (data not shown), suggestive of synaptic contact with ventral interneurons. We therefore examined whether two classes of interneurons implicated in the regulation of motor neuron output, V2a interneurons (Peng et al., 2007; Al-Mosawie et al., 2007; Lundfald et al., 2007; Crone et al., 2008) and Renshaw cells (Alvarez and Fyffe, 2007), are contacted by V0C neurons. The cell bodies and proximal dendrites of V2a neurons, defined by FP expression in Sox14::eGFP mice (Crone et al., 2008), were contacted only sparsely by vAChT+ boutons (< 4 boutons/neuron; 37 neurons) but by many vGluT1+ terminals (Figure 4A, B, C, D-D″, R; Al-Mosawie et al., 2007). The cell bodies and dendrites of calbindin+ Renshaw cells were contacted by many vAChT+ boutons (Figure 4A, E, F, R). But analysis of Pitx2::Cre; Tau or Thy1 reporter mice revealed that none of them were FP-labeled (Figure 4E, F, 0/132 boutons; 8 neurons). Thus, Renshaw cells lack V0C (or V0G) input, although they receive cholinergic innervation from the axon collaterals of motor neurons (Figure 4G, H-H″). These findings argue for selectivity in the target connectivity of V0C interneurons (Figure 4R). To assess whether Pitx2+ V0 neurons innervate ipsilateral and/or contralateral targets we identified interneurons after unilateral hindlimb muscle injection of pseudorabies PRV 614 (mRFP1) transneuronal tracer in p15 and p30 mice (Banfield et al., 2003; Smith et al., 2000; Lanuza et al., 2004). 48-68 h after virus injection, 69% of GFP-labeled Pitx2+ neurons were located ipsilateral to the side of muscle injection, (54/78 labeled neurons; Figure S6), indicating that many Pitx2+ V0 neurons project to ipsilateral motor neurons.
Figure 4
Figure 4
The synaptic circuitry of V0C interneurons
We also assessed the nature and origin of synaptic inputs to V0C interneurons. In p24 Pitx2::Cre; Thy1.lsl.YFP mice, the cell bodies of vAChT+, FP-labeled V0C neurons received many vGluT2+ bouton contacts (> 50 per neuron), an indication of excitatory input from glutamatergic interneurons and/or descending projections (Figure 4I-J, K-L). In contrast, we detected few vGluT1+ synaptic contacts (~10 boutons per neuron; Figure 4P-P[triple prime]), reflecting sparse sensory and/or corticospinal input (Betley et al., 2009). vAChT+, FP-labeled V0C neurons also received many GAD67+ GABAergic inhibitory inputs (> 50 boutons per neuron) (Figure 4Q-Q[triple prime]). We also detected serotonergic contacts (> 20 per neuron) on the cell body and proximal dendrites of FP-labeled V0C neurons (Figure 4M-O, R), presumably reflecting brainstem serotonergic input. Thus, V0C neurons receive integrate input from glutamatergic, GABAergic, and monoaminergic pathways.
Coordination of V0C neuron and motor neuron activity during locomotor episodes
We examined the physiological properties and functional connectivity of Pitx2+ V0 neurons using whole-cell patch clamp recordings from FP-labeled neurons in hemisected lumbar spinal cord preparations obtained from p4 to p8 Pitx2::Cre; Thy1.lsl.YFP mice (Figure 5A-D). FP-labeled neurons exhibited low whole-cell capacitance and moderate input resistance (~30 pF, ~450 MΩ, 16 neurons in control solution). At rest, 63% of FP-labeled neurons exhibited spontaneous activity, at low mean firing rates (3.1 ± 0.5 Hz, 10/16 neurons), with long action potentials (half-width = 2.81 ± 0.2 ms), and a prominent after-hyperpolarization (Figure 5E). Intracellular current injection enhanced firing rates to ~20 Hz, with little spike frequency adaptation (Figure 5F, G, H; 16 neurons). These features varied little amongst FP-labeled neurons, implying that V0C and V0G neurons share similar biophysical properties.
Figure 5
Figure 5
Intrinsic properties of Pitx2+ V0CG interneurons
We next analyzed Pitx2+ V0 neuron firing frequency with motor neuron bursting during fictive locomotor activity. Whole-cell patch clamp recordings were obtained from FP-labeled neurons at rostral lumbar levels in hemisected spinal cord preparations exposed to a rhythmogenic drug cocktail (Figure 6A-C; Jiang et al., 1999). Most FP-labeled neurons (14/16 neurons) were tonically active (Figure 6A), and a few exhibited marked bursting activity (Figure 6C). The firing rate of tonically active FP-labeled neurons was modulated: ~80% of neurons fired more rapidly in phase with motor burst activity in flexor associated L1-L3 ventral roots (Figure 6A; ~ 1.5 fold > firing rate, p<0.01 for 9/11 FP-labeled neurons). This phasic relationship was revealed most clearly when FP-labeled V0 neurons were hyperpolarized by current injection (-10pA to -100pA; Figure 6B). Under these conditions, ~90% of all FP-labeled neurons at L1 to L3 segments were phase-locked with motor neuron bursts recorded from flexor-associated L1-L3 ventral roots (Figure 6E, F, closed circles, 14/16 neurons). On occasion, rostrally-positioned V0 neurons also exhibited isolated inter-burst spikes (Figure 6C). Strikingly, these spikes coincided with transient excitatory activity recorded from L1-L3 ventral roots, as well as with brief periods of motor inactivity recorded from L5 motor roots (Fig. 6C, arrows). At L4 to L5 segments some FP-labeled V0 neurons fired maximally in phase with extensor-associated L4-L5 ventral root bursts (3 neurons), although others fired in phase with L1-L3 ventral root bursts (3 neurons; Figure 6F, open circles). The activity of Pitx2+ V0 neurons is therefore linked predominantly to the output of their segmentally aligned motor neuron targets, exclusively so at rostral lumbar levels.
Figure 6
Figure 6
Activity of Pitx2+ V0CG neurons during locomotor episodes
Most Pitx2+ interneurons at rostral lumbar levels are cholinergic, suggesting that the phasic features of the general population of FP-labeled Pitx2+ V0 neurons are representative of the behavior of V0C neurons. To define the properties of identified V0C neurons, we analyzed mice in which V0C neurons are marked selectively by crossing the Pitx2::Cre line with a vAChT FP reporter line (Figure 2E, F) (Experimental Procedures). At rostral lumbar levels, identified vAChT FP-labelled V0C neurons also exhibited tonic activity with maximal firing in register with L1-L3 ventral root motor bursts (Figure 6D, F, open triangles, 4 neurons). The coordinated firing of Pitx2+ excitatory V0 neurons and motor neurons raises the possibility that these interneurons regulate ipsilateral motor output during locomotor activity.
To explore the basis of the phasic activity of Pitx2+ V0 interneurons we first assessed whether these neurons display intrinsic oscillatory properties. Whole-cell patch clamp recordings were made from FP-labeled neurons in transverse spinal cord slices obtained from p12-p13 Pitx2::Cre; Tau.lsl.mGFP mice. FP-labeled neurons were spontaneously active and the application of a rhythmogenic drug cocktail increased the firing rate of FP-labeled neurons, but oscillatory activity was not observed (Figure 5I, J; 6 neurons), suggesting that they lack intrinsic rhythmogenic properties.
To assess the origin of inputs responsible for the phasic activity of Pitx2+ V0 interneurons we recorded from FP-labeled neurons in L1 to L3 segments in hemisected spinal preparations. Antidromic activation of motor neurons by ventral root stimulation did not elicit synaptic responses in FP-labeled V0 neurons (4 neurons; data not shown), arguing against input from a recurrent excitatory pathway (Machacek and Hochman, 2006). Voltage clamp analysis of FP-labeled neurons during locomotor activity revealed barrages of excitatory postsynaptic current (EPSCs) in phase with ventral root bursts (Figure 7A, B; 13 Thy1 FP-labeled neurons; 4 vAChT FP-labeled neurons). In contrast, IPSCs were detected during all phases of the motor burst cycle (Figure 7C, 7 Thy1 FP-labeled neurons). Together, these findings support the idea that the bursting activity of Pitx2+ V0 neurons is driven by rhythmic excitatory input from spinal interneurons.
Figure 7
Figure 7
Synaptic inputs to Pitx2+ V0CG interneurons
We also asked whether Pitx2+ V0 interneurons can be activated by sensory afferent input. Recordings from FP-labeled neurons during stimulation of segmentally-aligned dorsal roots (threshold 10 to 40μA) revealed sensory-evoked EPSCs (Figure 7D). Their latency (14.1 ± 1.0 ms, 7 Thy1 FP-labeled neurons), variable onset (high ‘jitter’, coefficient of variation = 0.18) is indicative of indirect rather than monosynaptic excitatory input. Together, these physiological studies in isolated spinal cord preparations indicate that the phasic activity of Pitx2+ V0 interneurons is driven primarily by input from local excitatory interneurons.
A motor behavioral defect in mice lacking V0C cholinergic output
To explore the contribution of V0C interneurons to locomotor behavior we sought a means of inactivating the output of this set of neurons, while preserving the function of other classes of V0 neurons. Cre-mediated deletion of coding exons of the mouse ChAT gene generates a truncated, enzymatically inactive protein and effectively prevents cholinergic transmission by spinal neurons (Misgeld et al., 2002; Buffelli et al., 2003). We used this strategy to generate a V0 neuron-specific disruption in the gene encoding ChAT.
We compared the efficacy of ChAT elimination from V0C neurons in mice in which Pitx2::Cre and Dbx1::Cre (Bielle et al., 2005) driver lines were crossed with a floxed ChAT (ChATfl) allele (Buffelli et al., 2003). In Pitx2::Cre; ChATfl/fl mice analyzed between p0 and p30, ChAT expression was eliminated from ~55% of vAChT + C-boutons (data not shown). In contrast, Dbx1::Cre; ChATfl/fl mice resulted in a virtually complete (> 99%, n = 503 boutons) loss of vAChT+, ChAT+ C-boutons (Figure 8A-F″). The depletion of ChAT in Dbx1::Cre; ChATfl/fl mice was selective, in that motor neurons still expressed ChAT (Figure 8A, D). C3 neurons can be labeled by Dbx1::Cre lineage tracing (Miles et al., 2007) (Figure S4), but C-bouton synapses with motor neurons derive exclusively from V0C neurons. Moreover, the axonal projections of C3 neurons appear confined to the vicinity of the central canal (Barber et al., 1984; Phelps et al., 1984). Thus, C3 neurons do not exert a direct influence on motor output. We therefore analyzed the impact of eliminating V0C output on locomotor behavior using Dbx1::Cre; ChATfl/fl mice.
Figure 8
Figure 8
Genetically programmed elimination of ChAT from V0C interneurons
Dbx1::cre; ChATfl/fl mice exhibited an overtly normal developmental program and survived until adulthood (data not shown). Despite the loss of synaptic ChAT expression, the number of vAChT+ C-boutons in contact with the cell body and proximal dendrites of lumbar motor neurons was similar in Dbx1::Cre; ChATfl/fl, Dbx1::Cre; ChATfl/+, and wild type mice (Figure 8A, D; data not shown). The loss of ChAT expression from C-boutons was not accompanied by expression of the glutamatergic markers vGluT1 or vGluT2 (Figure 8G-H″). These vAChT+, ChAT-depleted C-boutons were still aligned with m2 muscarinic receptors and Kv2.1 class K+ channels (Figure 8I-J″), indicating that the post-synaptic organization of these synapses is preserved. Thus, ChAT-deficient V0C neurons form structurally differentiated, albeit acetylcholine synthesis-deficient, synapses with motor neurons.
To examine the contribution of V0C neurons to motor output, we focused on locomotor behavioral assays that uncover task-dependent modulation in the activation of limb muscles. In rodents walking and swimming elicit markedly different degrees of hindlimb muscle activation (Roy et al., 1985; de Leon at al., 1994) – the amplitude of gastrocnemius (Gs) electromyographic (EMG) activity, for instance, is greater during swimming than walking (Hutchison et al., 1989). We therefore monitored the degree of Gs muscle activation in mice subjected sequentially to walking and swimming.
To measure muscle activation, the Gs muscles of wild type (n = 8), ChATfl/fl (n = 14) and Dbx1::Cre; ChATfl/fl (n = 12) mice (p45 or older) were implanted with EMG recording electrodes (Pearson et al., 2005; Akay et al., 2006). Electrodes were also placed in the left and right tibialis anterior (TA) ankle flexor and Iliopsoas (Ip) hip flexor muscles as indicators of the overall fidelity of locomotor pattern. We detected no consistent differences in EMG patterns of control and Dbx1::Cre; ChATfl/fl mice during locomotor behavior. A clear alternation of Gs, compared to TA and Ip muscle activity, was evident during walking (Figure 9A, B). The normal alternation in the activity of left and right TA muscles was also preserved in Dbx1::Cre; ChATfl/fl mutant mice (Figure 9A, B). Thus, loss of V0C neuronal output does not perturb locomotor pattern.
Figure 9
Figure 9
Preservation of basic locomotor pattern in mice with ChAT-depleted V0C neurons
We next examined muscle activity in wild type mice during walking and swimming. The amplitude of the Gs muscle burst in control mice subjected to a swimming task was consistently larger than the burst observed when the same animals were walking (Figure 10A). The amplitude of TA muscle bursts was only marginally greater during swimming than walking, however (Figure 10A). We quantified the change in muscle activity during swimming and walking by monitoring the ratio of peak swim:walk (S:W) EMG amplitudes, revealing S:W ratios of 5.5 for the Gs muscle and 1.3 for the TA muscle (Figure 10B, D).
Figure 10
Figure 10
Task-specific impairment in gastrocnemius muscle activation in mice with ChAT-depleted V0C neurons
In Dbx1::Cre; ChATfl/fl mice subjected sequentially to walking and swimming tasks we observed that the enhancement of Gs burst amplitude during swimming was significantly diminished (S:W ratio of 3.5, p<0.01) (Figure 10C) when compared to control littermates (Figure 10B). In contrast, the TA muscle S:W ratio was not significantly different between Dbx1::Cre; ChATfl/fl and control mice (Figure 10D). These EMG findings, in conjunction with physiological analyses, provide evidence that this locomotor task-dependent modulation of hindlimb muscle activity involves a V0C interneuron-mediated enhancement of motor neuron firing.
Motor circuits in the spinal cord are the final neural arbiters of movement. The force and duration of muscle contraction is determined by the pattern of motor neuron firing which, in turn, reflects the coordinated activity of spinal interneurons. Pre-motor interneurons provide excitatory and inhibitory commands, and in addition are thought to modulate motor output during locomotor tasks. The identity, circuitry and behavioral contributions of such modulatory neurons have, however, been difficult to decipher. Our analysis of V0C neuronal circuitry and physiology suggests that this small cluster of cholinergic pre-motor interneurons exerts a modulatory influence on locomotor behavior, providing an initial insight into the function of an intrinsic spinal modulatory system.
Identity and diversity within the V0 interneuron cohort
Classical anatomical and physiological studies have provided evidence that spinal circuits dedicated to the control of motor output are constructed from a complex array of interneuron subtypes (Jankowska, 2001; Bannatyne et al., 2009). Most of these neurons derive from the four cardinal progenitor domains that subdivide the ventral half of the embryonic spinal cord (Jessell, 2000; Goulding, 2009), implying that a single progenitor domain gives rise to multiple interneuron subclasses. The p0 progenitor domain has been shown to give rise to two major groups of commissural inhibitory interneurons, V0V and V0D neurons (Pierani et al., 2001; Moran-Rivard et al., 2001; Lanuza et al., 2004). Our findings show that the V0V population can be further divided, in that it includes a small set of excitatory interneurons defined by the paired domain transcription factor Pitx2. And even this small Pitx2+ neuronal subset can be fractionated into discrete V0C cholinergic and V0G glutamatergic populations. The program for specification of V0 interneuronal subtype identity therefore assigns discrete molecular identities to neuronal subsets that comprise only a few percent of the cardinal V0 cohort.
Equivalent diversification of other cardinal interneuron domains would imply the existence of over a hundred molecularly distinct ventral interneuron subtypes – a variety far greater than revealed by physiological or anatomical classification schemes. Nevertheless, there is precedent for the idea that an individual ventral progenitor domain can give rise to molecularly and functionally diverse neuronal subclasses. Renshaw interneurons are known to represent only ~10% of the total V1 interneuron population (Sapir et al., 2004; Alvarez et al., 2005), and Hb9+ interneurons constitute an even smaller fraction of their cardinal interneuron class (Wilson et al., 2005). In addition, a dozen or more motor neuron subtypes derive from a single progenitor domain (Dasen et al., 2005), with individual motor pools often comprising only ~5% of total segmental motor neuron number (McHanwell and Biscoe, 1981).
By analogy with the mechanisms that direct motor neuron columnar and pool identity (Dasen et al., 2005; Dasen and Jessell, 2009) the specification of Pitx2+ neurons within the V0 cohort could be initiated by a cell-intrinsic program of Hox protein repression. Notch signaling has been shown to direct binary differentiation of the cardinal V2 interneuron group into distinct glutamatergic V2a and GABAergic V2b subsets (Peng et al., 2007), and also contributes to neuronal diversification in the dorsal spinal cord (Mizuguchi et al., 2006). By extension, Notch signaling could drive the generation of discrete cholinergic and glutamatergic subtypes within the Pitx2+ V0 interneuron group. Thus, sequential ‘winner-take-all’ strategies of neuronal specification, initially a cell-intrinsic program of mutual Hox repression, and subsequently an intercellular program of Notch signaling, could underlie the progressive specification of neurons within the cardinal V0 population to a minority cholinergic V0C fate.
The analysis of Pitx2+ V0 interneurons also reveals the extent of diversity in neurotransmitter phenotype and projection pattern that can emerge in the neuronal progeny of a single ventral progenitor domain. Most V0 interneurons exhibit GABAergic and/or glycinergic inhibitory character (Pierani et al., 2001; Lanuza et al., 2004; Moran-Rivard et al., 2001), but Pitx2+ V0V interneurons are excitatory and use acetylcholine or glutamate as transmitters. Thus, a single ventral interneuron progenitor domain can give rise to interneurons of at least four different neurotransmitter phenotypes. Moreover many Pitx2+ V0 interneurons appear to send axons ipsilaterally, whereas inhibitory V0 interneurons project their axons across the midline to innervate contralateral motor neurons (Pierani et al., 2001). Thus progenitor provenance does not necessarily restrict the neurotransmitter phenotype or projection pattern of ventral interneurons.
Our findings also provide an insight into the contribution of neurotransmitter synthesis to the formation and maturation of interneuronal connections in mammalian CNS circuits. Selective elimination of ChAT from V0C neurons has no obvious influence on the maturation and organization of C-bouton synapses with motor neurons. Similarly, elimination of ChAT from developing motor neurons and retinal amacrine neurons has no obvious anatomical impact on their development (Stacy et al., 2005; Myers et al., 2005). In contrast, glutamic acid decarboxylase (GAD) dependent synthesis and release of GABA appears to have a crucial role in the maturation of axonal arbors and synapses of GABAergic interneuron in visual cortex (Chattopadhyaya et al., 2007; Fagioloni and Hensch, 2000). The contribution of neurotransmitters to synaptic maturation in mammalian CNS circuits therefore differs as a function of neuronal subtype and transmitter status.
The circuitry and physiology of V0c interneurons
V0C neurons are the sole source of C-bouton synapses on spinal motor neurons. Their biophysical properties – slow tonic firing rates, broad action potentials and large after-hyperpolarizing potentials – are typical of cholinergic and monoaminergic modulatory neurons in other regions of the mammalian CNS (Masuko et al., 1986; Li and Bayliss, 1998; Bennett et al., 2000). The organization of V0C neuronal projections is also suggestive of a modulatory role. In the lumbar spinal cord we estimate that motor neurons typically receive 80-100 C-bouton contacts, and motor neurons outnumber V0C interneurons by a factor of ~10:1. Thus individual V0C neurons are likely to contribute ~1000 cholinergic synaptic contacts with target motor neurons, a divergence that places them in a pivotal position to modulate motor output.
During locomotor episodes, V0C neurons exhibit a rhythmic firing pattern that is tightly phase-locked to the activity of segmentally-aligned motor neuron targets. Other studies have revealed considerably greater variability in the relative firing phases of broad populations of ventral glutamatergic interneurons (Butt et al., 2003, 2005). This presumably reflects the fact that this heterogeneous neuronal group is comprised both of last-order neurons that fire in register with motor bursts, and upstream locomotor network interneurons that would not necessarily exhibit such tight linkage (McCrea and Rybak, 2008; Brownstone and Wilson, 2008). One small population of glutamatergic interneurons, defined by Hb9 expression (Wilson et al., 2005), fires in phase with segmental motor output (Hinckley et al., 2005), but its contributions to locomotor function are still unclear (Brownstone and Wilson, 2008; Kwan et al., 2009).
V0C neurons are unlikely to provide the major excitatory drive for motor neuron bursting. Rhythmic activity is maintained when V0 cholinergic output is eliminated in vivo, and after blockade of muscarinic m2 receptors in vitro (Miles et al., 2007). More likely, the coordinated firing of V0c neurons and motor neurons reflects common rhythmic input from components of the core locomotor network. In support of this view, physiological analysis shows that rhythmic variation in the frequency of excitatory synaptic input to V0C interneurons coincides with activity in their aligned motor neuron targets. The spiking of V0C interneurons also matches the burst activity of segmentally aligned motor neurons, and the cessation of activity in more caudally-located ‘antagonist’ motor neurons. We have not resolved whether individual V0C neurons innervate motor neurons in an indiscriminate manner or whether they respect flexor-extensor, or pool-specific motor neuron characters. Nevertheless, our behavioral findings imply that descending or sensory pathways can activate spinal V0C neuronal circuits in a manner that enhances the firing rate of motor pools in a task-appropriate manner. We note that V0C neurons exhibit characteristics of ‘intrinsic’ modulatory interneurons (Katz, 1995).
The physiology and connectivity of V0C neurons therefore suggests that they participate in spinal pre-motor circuits devoted to the modulation of motor output. Cholinergic signaling has previously been implicated in the generation of spinal motor rhythm (Cattaert et al., 1995; Quinlan et al., 2004; Cowley and Schmidt, 1994; Roberts et al., 2008; Hanson and Landmesser, 2003), although our findings imply that these activities are independent of V0C neurons. At embryonic stages, cholinergic influences on locomotor rhythm are mediated by the recurrent collaterals of motor neurons themselves (Myers et al., 2005). Thus spinal cholinergic neurons involved in the generation of locomotor rhythm appear distinct from those involved in its modulation.
V0c interneurons as modulators of locomotor behavior
Locomotion in terrestrial vertebrates depends on the ability of neural circuits to regulate the function of individual limb muscles in a dynamic fashion during different locomotor tasks, even over the course of a single stride (Gillis and Biewener, 2001). Our findings provide genetic, physiological and behavioral evidence for a task-dependent role for cholinergic V0C neurons in the modulation of mouse locomotor behavior – genetic manipulations that remove cholinergic C-bouton signaling result in a significant impairment in the activation of the Gs muscle during swimming.
The demands of individual motor tasks – the transition from walking to swimming in our analysis – are likely to be transmitted to V0C interneurons via sensory or descending systems (Figure 11). Once activated, ACh release from the C-bouton terminals of V0C neurons is likely to engage m2 muscarinic receptors on motor neurons, reducing spike after-hyperpolarization and enhancing motor neuron firing frequency (Miles et al., 2007). The impairment of Gs muscle activation observed after elimination of V0C neuronal output can therefore be explained by a failure to activate m2 muscarinic receptors at C-bouton synapses. Nevertheless, the reduction in Gs muscle activation in V0 ChAT-depleted mice is incomplete. This could reflect the contribution of other modulatory systems that normally contribute to the regulation of motor neuron firing rate (Liu et al., 2009; Krieger et al., 1998), or a compensatory change in the function of spinal networks after elimination of V0C cholinergic output (Myers et al., 2005, Stacy et al., 2005).
Figure 11
Figure 11
Intrinsic Neuromodulatory Role of V0C interneurons
In the brain, cholinergic neurons have key roles in the attentional modulation of sensory processing streams (Giocomo and Hasselmo, 2007). In the owl optic tectum, the enhancement of neuronal responses to attended auditory and visual stimuli is mediated by cholinergic input from midbrain nuclei (Winkowski and Knudsen, 2008). In primate visual cortex, neuronal responses to images presented within attended receptive fields are elevated by activation of muscarinic signaling, and reduced by muscarinic antagonists (Herrero et al., 2008). In one sense, the role of the spinal V0C cholinergic interneuron system in the task-appropriate gain control of selected motor neuron groups can be considered a motor attentional counterpart to these supraspinal cholinergic influences on sensory processing. Further analysis of the organization and function of V0C interneurons may therefore provide more general insight into the role of cholinergic modulatory systems throughout the mammalian CNS.
Differential Expression Screen
RNA was isolated from ventral and dorsal spinal cord tissue (n = 3 or 4 p8 mice for each sample) (Figure S1A) using the RNeasy Mini Kit (Qiagen), and aRNA was synthesized with Ambion's MessageAmp™ aRNA Kit (Catalog # 1750) and Biotin 11-CTP and Biotin 16-UTP (Enzo). Affymetrix Gene chip Mouse Genome 430 2.0 Arrays were hybridized, and results analyzed with the Gene Traffic software.
Generation of Sox14::eGFP and vAChT.lsl.eGFP mice
The Sox14::eGFP and vAChT.lsl.eGFP (lsl: loxP-stop-loxP cassette) targeting vectors (details in Supplemental Experimental Procedures) were electroporated into mouse ES cells (129sv/ev) selected with G418, and homologous recombinants identified by Southern blot analysis. Targeted mouse ES cells were microinjected into blastocysts and chimeric mice were crossed to C57BL/6J females. Additional mouse strains (Figure S8): Dbx1::nlsLacZ (Pierani et al., 2001), Dbx1::Cre (Bielle et al., 2005), Pitx2::Cre (Pitx2 δabccreneo; Liu et al., 2003), Thy1.lsl.YFP (line15) (Buffelli et al., 2003; Bareyre et al., 2005), Tau.lsl.mGFP-IRES-NLS-LacZ-pA (Hippenmeyer et al., 2005), Hb9::eGFP (Wichterle et al., 2002), ChATfl/fl (Misgeld et al., 2002, Buffelli et al., 2003).
Histochemistry
In situ hybridization histochemistry was performed on 15-20μm cryostat sections as described (Dasen et al., 2005). Combined fluorescent in situ hybridization histochemistry/immunohistochemistry was performed on 15-20μm cryostat sections.
Immunohistochemistry
Immunohistochemistry was performed as described (http://sklad.cumc.columbia.edu/jessell/resources/protocols.php) (Betley et al., 2009). Pitx2 antisera were generated in rabbit using the peptide MVPSAVTGVPGSSLC. Additional antibodies listed in Supplemental Experimental Procedures. Images were acquired on BioRad MRC 1024 or Zeiss LSM510 Meta confocal microscopes.
In vitro electrophysiology
Methods for recording from isolated spinal cord preparations have been described (Jiang et al., 1999). Further details provided in Supplemental Methods. Data are reported as mean ± S.E. Differences in means were compared using Student's t-test. For analyses of interneuron firing phases, the phasing of individual action potentials was normalized to the onset of rostral lumbar ventral root activity and circular plots generated where mean vector (arrow) direction represents the preferred firing phase and mean vector length (r) represents the concentration of action potentials around the mean (Butt et al., 2002). Relationships between preferred firing phases and ventral root activity were assessed using Rayleigh's test for uniformity (Kjaerulff and Kiehn, 1996; statistiXL software, Nedlands, WA, Australia). Values of p < 0.05 were considered significant.
Motor behavioral analysis
Adult mice were implanted with bipolar EMG recording electrodes (Pearson et al., 2005; Akay et al., 2006). EMG activities were recorded during free walking for ~20 min in a 78cm × 4cm Plexiglas runway. After walking trials, mice were placed in a tank with ~23°C water for ~2 min and EMG activity collected using Power1401 and Spike 2 (version 6.02, CED, Cambridge, UK) software, and analyzed by Spike 2, Excel 2003, and statistiXL (version 1.8). Data are reported as mean ± S.D. and differences in distributions were tested by using the Student's t-test (statistiXL). Values of p < 0.05 were considered significant.
Supplementary Material
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Acknowledgments
We are grateful to Staceyann Doobar, Elizabeth Hwang, Qiaolian Liu and Natasha Permaul for technical assistance; Barbara Han, Monica Mendelsohn, Jennifer Kirkland and Susan Kales for help in the generation and upkeep of mice, and Susan Morton for antibody generation. We thank Lieven van der Veken for pseudorabies virus tracing, Silvia Arber for the Tau.lsl.mGFP line, Joshua Sanes for the ChATfl/fl line, Alessandra Pierani for advice on Dbx1::Cre mice, Tord Hjalt for an aliquot of anti-Pitx2 antibody, and Apostolos Klinakis for DNA constructs. Frederic Bretzner, Christopher Henderson, John Martin, Joriene de Nooij, Sebastian Poliak, Victor Rafuse and Keith Sillar provided helpful comments on the manuscript. L.Z. was supported by a Helen Hay Whitney Foundation Fellowship. TA is an HHMI research specialist. RMB is supported by grants from ProjectALS and the Canadian Institutes of Health Research. GBM is supported by grants from BBSRC UK, Project A.L.S., and Medical Research Scotland. JFM is supported by NIH grants R01 DE/HD12324 and DE16329. TMJ is supported by grants from Project ALS, The Harold and Leila Mathers Foundation, The Wellcome Trust, NIH RO1 NS33245, and is an HHMI Investigator.
Footnotes
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