Upregulation of breathing rate during running exercise by central locomotor circuits in mice

Hérent, Coralie; Diem, Séverine; Usseglio, Giovanni; Fortin, Gilles; Bouvier, Julien

doi:10.1038/s41467-023-38583-6

Download PDF

Article
Open access
Published: 22 May 2023

Upregulation of breathing rate during running exercise by central locomotor circuits in mice

Nature Communications volume 14, Article number: 2939 (2023) Cite this article

3965 Accesses
6 Citations
30 Altmetric
Metrics details

Subjects

Abstract

While respiratory adaptation to exercise is compulsory to cope with the increased metabolic demand, the neural signals at stake remain poorly identified. Using neural circuit tracing and activity interference strategies in mice, we uncover here two systems by which the central locomotor network can enable respiratory augmentation in relation to running activity. One originates in the mesencephalic locomotor region (MLR), a conserved locomotor controller. Through direct projections onto the neurons of the preBötzinger complex that generate the inspiratory rhythm, the MLR can trigger a moderate increase of respiratory frequency, prior to, or even in the absence of, locomotion. The other is the lumbar enlargement of the spinal cord containing the hindlimb motor circuits. When activated, and through projections onto the retrotrapezoid nucleus (RTN), it also potently upregulates breathing rate. On top of identifying critical underpinnings for respiratory hyperpnea, these data also expand the functional implication of cell types and pathways that are typically regarded as “locomotor” or “respiratory” related.

Exercise enhances motor skill learning by neurotransmitter switching in the adult midbrain

Article Open access 04 May 2020

Passive limb training modulates respiratory rhythmic bursts

Article Open access 04 May 2023

A brainstem monosynaptic excitatory pathway that drives locomotor activities and sympathetic cardiovascular responses

Article Open access 29 August 2022

Introduction

Breathing is a vital behavior that must combine extreme robustness with continuous adaptability. One striking example is the abrupt augmentation of ventilation at the transition from rest to running in order to maintain homeostasis in spite of increased metabolic demand¹. This “exercise hyperpnoea” is manifested by an increase in both respiratory frequency and volume. It has long been proposed that its main trigger, at least for acute exercise, is of neuronal nature, i.e., relies on activatory signals from locomotor effectors or circuits impacting onto the respiratory generator in the brainstem^1,2,3. However, the underlying cells and circuits are not fully elucidated.

Running hyperpnea can occur without temporal synchronization of breathes to strides^4,5, in the absence of peripheral signals⁶, or during mental simulation of exercise^7,8,9, highlighting that its main neuronal trigger may be of central, rather than peripheral, origin. Of particular interest are therefore brain regions that command or execute locomotor movements and could provide a parallel drive to respiratory centers^10,11. The mesencephalic locomotor region (MLR) in the dorsal midbrain is considered the main site of locomotor initiation throughout the animal kingdom, likely including humans^12,13,14. Stimulation of the MLR, and particularly its cuneiform nucleus (CnF) component, engages forward locomotion at a speed that is commensurate to the intensity of the stimulus^{15,16,17,18,19}, making it a candidate neuronal encoder and driver of running intensity. Interestingly, the MLR may also upregulate breathing activity¹⁰ and work in the lamprey, an ancestral vertebrate, recently argued for a parallel connectivity of this structure to respiratory centers²⁰. This however remains to be investigated in terrestrial mammals. Another central drive to respiratory centers may originate in the circuits of the spinal cord that elaborate the locomotor rhythm and coordinate the motor output during ongoing locomotion, often referred to as a “Central Pattern Generator” or CPG^21,22. Indeed, pharmacological activation of the lumbar enlargement, where the hindlimb CPG circuit is thought to reside, can upregulate the frequency of respiratory-like activities on ex vivo preparations from neonatal rats^23,24. While this is suggestive of ascending projections to respiratory centers, the underlying circuit and its functionality during running has not been documented.

Another gap of knowledge concerns the identification of the respiratory neurons targeted by descending (e.g., from the MLR) or ascending (e.g., from the CPG) locomotor drives. In mammals, the respiratory rhythm is driven by neurons of the pre-Bötzinger complex (preBötC) in the ventromedial medulla^25,26. The preBötC receives inputs from several brain areas including the midbrain²⁷ and, in the lamprey, MLR neurons were shown to contact a presumed homolog of the preBötC^20,28. This makes the preBötC a prime candidate for promptly entraining respiration during exercise in mammals. More rostrally, the parafacial (pF) respiratory region may be another contender for respiratory regulation during metabolic challenges including effort. In this region, non-catecholaminergic Phox2b-expressing neurons (defining the retrotrapezoid nucleus, RTN) can rapidly upregulate respiratory rate in the context of central CO₂ chemoception^29,30 and might support active expiration which is thought to accompany exercise^{31,32,33,34,35}. Phox2b-positive neurons in the pF region have been shown to be activated during running³⁶, during locomotor-like activity on ex vivo neonatal rat preparations²³, and their silencing limits exercise capacity in running rats³⁷.

Here we sought to investigate the central circuits interfacing locomotor and respiratory centers in the resourceful mouse model. We found the existence of both a descending drive from the MLR, and of an ascending drive from the locomotor CPG of the lumbar spinal cord. Remarkably, the MLR is capable of upregulating breathing rate even before the initiation of actual limb movements. We further uncovered that the two systems both have access to respiratory rhythm generation mechanisms albeit through two different synaptic schemes. The MLR directly projects to the preBötC, but not to the pF region, while the lumbar spinal cord targets the pF region which in turns contacts the preBötC. Our work therefore demonstrates two locomotor central drives that may underlie breathing adaptability during running and their synaptic nodes in the respiratory central network.

Results

Glutamatergic CnF neurons project to the preBötC

We first examined whether locomotor-promoting MLR neurons in mice contact neuronal groups involved in respiratory rhythm generation. The MLR contains two major subdivisions, the cuneiform nucleus (CnF) containing glutamatergic (Glut⁺) neurons, and the pedunculopontine nucleus (PPN) containing both Glut⁺ and cholinergic neurons^15,16,17. Since locomotor initiation is attributed to the former, we traced the projections of CnF neurons by unilateral stereotaxic injections of a Cre-dependent AAV-eYFP in Vglut2^Cre adult mice³⁸ (Fig. 1a, b, see Fig. S1 for all injection sites). Abundant eYFP-positive fibers were detected in the preBötC, located ventrally to the nucleus ambiguus and containing SST-positive neurons³⁹. These projections were found bilaterally with an ipsilateral predominance (Fig. 1c, d, g). In contrast, projections were very sparse in the pF respiratory area, located immediately ventral, ventro-median and ventro-lateral to the facial motor nucleus (7N, Fig. 1e–g). To verify that CnF neurons synaptically target preBötC neurons, we made use of a genetically restricted two-virus approach⁴⁰ to reveal preBötC putative inputs anatomically. A critical population of PreBötC neurons for respiratory rhythm generation are Glut⁺ neurons with commissural projections^41,42. We therefore injected a retrograde Cre-dependent rabies helper virus (HSV-LSL-TVA-oG⁴³) in the preBötC on one side followed by an EnvA-ΔG rabies (Rb) virus in the contralateral preBötC (Fig. 1h). As demonstrated previously⁴⁴, this leads to the expression of the Rb virus in projection-defined neurons (here commissural Glut⁺ preBötC neurons, Fig. 1i) and in their presynaptic partners by transsynaptic spread. The latter were detected in the CnF and PPN nuclei bilaterally (Fig. 1j), as well as on the contralateral preBötC, the NTS, but only few were detected in the pF region (Fig. S2). Altogether, these anterograde and retrograde tracings demonstrate that Glut⁺ CnF neurons directly contact candidate respiratory rhythm generating neurons in the preBötC, but not in the pF region.

**Fig. 1: CnF glutamatergic neurons contact the preBötC inspiratory generator.**

Glutamatergic CnF neurons modulate inspiratory rhythm generation

We next tested the ability of Glut⁺ CnF neurons to functionally impact the preBötC. One hallmark of preBötC responses to phasic incoming inputs is their phase-dependency to the ongoing rhythm^45,46. To evaluate this for CnF-evoked preBötC responses, we virally delivered the excitatory Channelrhodopsin 2 (ChR2) in Glut⁺ CnF neurons on one side of Vglut2^Cre adult mice, and implanted an optic fiber over the injection site (Fig. 2a). Breathing cycles were measured with whole body plethysmography (WBP, Fig. 2b) while single-pulse (50 ms) photoactivations were delivered randomly during the respiratory cycle during quiet breathing in awake and alert animals. Photostimuli did not elicit any noticeable body movements but indeed evoked individual breaths. We calculated the resultant phase-shift, expressed as the perturbed cycle duration over the duration of the control cycle as done previously^45,46 (Fig. 2b, see “Methods”). We found that unilateral photostimulation of Glut⁺ CnF neurons elicited an ectopic inspiratory burst and shortened the respiratory cycle but that this effect was most prominent when delivering light-pulses during early expiration (phase: 0.5–0.6, phase shift: 0.77 ± 0.10, p < 0.0001, Fig. 2c). In contrast, the effect was only minimal in late expiration. We also observed a shortening (although less drastic) of the next two subsequent cycles, suggesting that activation of the CnF also determines a longer lasting modulatory action on preBötC rhythm generation (Fig. S3a–d). No alteration of the respiratory cycle was however seen in mock trials in control mice that do not express ChR2 (Fig. S4a, b). Likewise, activating Glut⁺ neurons of the vlPAG, located laterally to the CnF but at the same dorso-ventral depth (Fig. S5a–c), or those of the inferior colliculus, located dorsally but at the same medio-lateral location as the CnF (Fig. S5e–g) did not impact the respiratory cycle. Therefore, the phase-dependent shortening observed when targeting the CnF cannot be attributed to thermal confounds⁴⁷ nor to the few cells in adjacent structures that are occasionally transfected (Fig. S1). To ascertain that this CnF-driven modulation of respiratory rhythm generation owes to direct projections to the preBötC, we next photoactivated ChR2-expressing fibers in the preBötC following viral injection in the CnF (Fig. 2d). This led to similar phase-dependent shortenings of the respiratory cycle, again maximal when light-activations are delivered in early expiration (phase: 0.5 − 0.6; phase shift: 0.79 ± 0.15, p < 0.0001, Fig. 2e, f). This effect disappeared after the second subsequent respiratory cycle (Fig. S3e–h). Light deliveries in the preBötC of control mice that do not express ChR2 did not produce any noticeable effect (Fig. S4d, e). Overall, the direct projections of the Glut⁺ CnF neurons indeed conform to phase-dependent activation of preBötC neurons, highlighting excitatory modulations of inspiratory burst generation.

**Fig. 2: Photoactivation of glutamatergic CnF neurons impacts respiratory rhythm generation in the preBötC.**

Glutamatergic CnF neurons modulate breathing in synergy with locomotion

Through their access to rhythm generating mechanisms in the preBötC, Glut⁺ CnF neurons might be capable of upregulating breathing frequency in synergy with locomotor initiation. To access respiratory parameters during vigorous displacement movements, we made use of our recently-developed method for chronic electromyographic recordings of the diaphragm (DiaEMG), the main inspiratory muscle⁴. Vglut2^Cre animals were made to express ChR2 in Glut⁺ CnF neurons as above, EMG-implanted, and placed in a linear corridor. Light was delivered in 1 s trains at increasing pulse frequencies when animals were quietly breathing, alert, and stationary at one end of the corridor (Fig. 3). Animals were filmed from the side and their displacement speed computed using markerless video-tracking as performed previously^4,48. In line with numerous studies^15,16,17,18, we found that photoactivating Glut⁺ CnF neurons at 15 Hz or more engages animals in forward locomotion (Fig. 3a, b), and that higher stimulation frequencies impose faster regimes, shorten the delay between light onset and locomotor initiation and increase the occurrence of left-right synchronous gaits (Fig. S6). Our photoactivations did not induce any rearing, grooming, handling behaviors or arrest behaviors that would be expected from light accessing Glut⁺ PPN neurons immediately ventral to the CnF^15,49. Furthermore, we never observed defensive freezing or orienting behaviors that are typical of activations of, respectively, the adjacent ventrolateral periaqueductal gray (vlPAG⁵⁰, Fig. S5a, b) or the superior or inferior colliculus (refs. ^51,52, Fig. S5e, f). This, together with the post hoc confirmation of optic fiber placement (Fig. S1), argues for accurately restricted activations of the CnF. Importantly, CnF photostimulations were associated with an increased respiratory rate (Fig. 3b, c), an effect that was not seen in control mice that do not express ChR2 (Fig. S4c). Remarkably, during CnF photoactivations that effectively engage running, respiratory rate increased in a two-step sequential manner. In a first step, that we term the “pre-loco” phase, a modest increase was seen immediately at light onset but before the first locomotor movements (i.e., during the delay between light onset and the initiation of locomotion, Fig. 3d). The mean respiratory rate during this “pre-loco” phase was significantly higher than baseline but not correlated to the photostimulation frequency (Fig. 3e). In a second step, when the animals effectively engage in locomotion (“loco” phase), the respiratory rate was further augmented (Fig. 3d). There, respiratory rate was still not strongly dependent on stimulation frequency but it was proportional to the actual displacement speed (Fig. 3f). The amplitude of DiaEMG was not significantly changed during the pre-loco phase but was increased during the loco phase (Fig. 3e, f), supporting a further ventilatory effort when animals run. We also found that the respiratory and locomotor rhythms were never temporally synchronized (Fig. S7), similarly to the situation in spontaneously running mice⁴. These results indicate that the respiratory frequency during CnF-evoked locomotion is upregulated immediately at light onset before the initiation of locomotion, and further upregulated during actual locomotion. The former observation suggests that Glut⁺ CnF neurons can independently modulate respiratory activity and limb movements. Demonstrating this further, photostimulations below the threshold for locomotor initiation (5 and 10 Hz, Figs. 3g and S6b) were sufficient to significantly increase the respiratory frequency and the amplitude of DiaEMG from baseline (Fig. 3h). The same subthreshold stimulations targeted to the vlPAG or to the inferior colliculus neurons located in proximity to the CnF however evoked no significant changes in breathing rate (Fig. S5d, h), further excluding a confounding effect of the occasional viral expression in these structures.

**Fig. 3: Glutamatergic CnF neurons upregulate breathing in synergy with, and even in the absence of, locomotion.**

Altogether, these analyses demonstrate that (i) Glut⁺ CnF neurons can upregulate breathing rate before, or even in the absence of, locomotor movements, (ii) during CnF-evoked locomotion, the highest increase in breathing rate from rest occurs when actual locomotor movements are engaged, (iii) respiratory frequency increase during the “loco” phase is proportional to the displacement speed, and (iv) breaths are not phase-locked to cyclic limb movements.

The spinal locomotor circuits project to the pF respiratory region

We then reasoned that the engagement in actual locomotor movements may be associated with a stronger drive onto respiratory centers which could originate from activated lumbar locomotor circuits. We thus performed large-volume injections of a Cre-dependent AAV-eYFP bilaterally in the lumbar spinal cord of Vglut2 ^Cre mice, to cover most of the thoraco-lumbar enlargement where neurons that generate the locomotor rhythm and set its speed are distributed^53,54,55 (Fig. 4a, b), and examined projections in the brainstem respiratory regions. In contrast to the anterograde tracings from the CnF, this revealed very few, if any, eYFP-positive fibers in the preBötC but their abundant (and ubiquitous) presence flanking all but dorsal margins of the 7 N (ventral, anterior, posterior, medial, and lateral, Fig. 4c–f), thus delineating the pF respiratory region in the broad sense (i.e., encompassing subregions involved in chemoception, and in inspiratory and expiratory control^26,35). To discriminate passing fibers from putative synaptic contacts, we first repeated these spinal cord injections with an AAV that drives expression of a presynaptic, synaptophysin-fused fluorophore⁵⁶, and indeed observed fluorescent puncta in the pF (Fig. 4g). We also performed similar spinal injections using an AAV vector that enables transsynaptic Cre expression in postsynaptic target neurons (AAV1-Syn-Cre⁵⁷) followed by a Cre-dependent AAV-eYFP vector in the pF region. This led to numerous eYFP-expressing cells (Fig. 4h, i) in all subdivisions of the pF. Since the pF does not project to the lumbar spinal cord (Fig. S8), the Cre-dependent labeling is not brought about by retrograde transport of the AAV1-Syn-Cre virus but witnesses its anterograde synaptic transfer. Therefore, ascending spinal projections synaptically target the pF respiratory region.

**Fig. 4: Glutamatergic lumbar spinal cord neurons contact the pF respiratory area.**

Lumbar locomotor circuits upregulate breathing rate through the RTN^Phox2b/Atoh1 ex vivo

To investigate functionally the possibility that lumbar locomotor circuits can upregulate breathing, we used ex vivo isolated brainstem/spinal cord preparations from neonatal mice. Although long-used for monitoring locomotor⁵⁵ or respiratory-like²⁵ activities, monitoring both simultaneously during drug-evoked locomotor-like activity had only been achieved on rat preparations^23,24. We adapted the method to the neonatal mouse and used a split-bath for independent pharmacological manipulation of the brainstem and spinal cord through superfusion of dedicated artificial-cerebrospinal fluids (aCSFs, see “Methods”). In these conditions, we recorded respiratory-like activity on the 4^th cervical ventral root and locomotor-like activity on the 2^nd lumbar ventral root (Fig. 5a).

**Fig. 5: Pharmacological activation of locomotor-like activities increases inspiratory-like frequencies ex vivo, which requires *RTN*^Phox2b/Atoh1 integrity.**

When both the brainstem and spinal cord were superfused with control aCSF, only respiratory-like activities were detected. Bath-application of the neuroactive substances N-methyl-d-aspartate (NMDA) and serotonin (5-HT) in the spinal compartment evoked locomotor-like activities associated with an increased frequency of the respiratory-like activity (by 162 ± 30% of baseline, Fig. 5b, c). To rule out drug leakage from the spinal compartment, we first verified that this frequency increase of respiratory-like activities was abolished following a cervical transection (Fig. S9a–c). We also found a similar acceleration of respiratory-like activity by targeted optogenetic activations of lumbar Glut⁺ neurons (170 ± 38% from baseline, Fig. S9d–f). Altogether, these experiments indicate that the activation of lumbar spinal circuits that contain the locomotor CPG exerts an excitatory effect on respiratory activity.

Since our anatomical observations place the pF respiratory region as a candidate target of ascending pathways from the spinal cord (Fig. 4), we next addressed the functional contribution of this region. We first eliminated physically the pF by a complete transection below the facial motor nucleus (Fig. 5d). Inspiratory-like activities persisted on the 4^th cervical root as expected⁵⁸, but pharmacological activation of lumbar circuits no longer significantly upregulated their frequency (Fig. 5e, f). We also examined specifically the contribution of RTN neurons in the pF region^29,30, making use of the fact that RTN neurons relevant for modulating respiratory rhythm generation, at least in the context of central chemoception, (i) are best identified by a combined history of expression of the transcription factors Phox2b and Atoh1^59,60 (thereafter RTN^Phox2b/Atoh1 neurons); and (ii) can be deleted when expressing a mutated allele of PHOX2B (Phox2b^27Ala) in rhombomeres 3 and 5 (Egr2 ^cre;Phox2b ^27AlaCKI background^59,60; Fig. S10). We thus recorded respiratory- and locomotor-like activities from Egr2 ^cre;Phox2b ^27AlaCKI RTN mutant pups (Fig. 5g). Preparations showed persistent inspiratory-like activity on the 4^th cervical root, but pharmacological activation of lumbar circuits no longer upregulated its frequency (Fig. 5h, i). These experiments highlight the capacity of spinal lumbar circuits to upregulate respiratory-like activities through RTN^Phox2b/Atoh1 neurons in the pF respiratory region.

Silencing RTN^Phox2b/Atoh1 neurons reduces respiratory increase during running exercise in vivo

The importance of RTN^Phox2b/Atoh1 neurons revealed above ex vivo prompted us to address their contribution to respiratory activity during running in behaving mice. For this, we used an intersectional background in which Cre expression is conditioned by both Atoh1 and Phox2b expression⁶⁰ (Atoh1^FRTCre;Phox2b^Flpo), and injected in the pF region bilaterally a Cre-dependent AAV coding the inhibitory DREADD receptor hM4Di (Fig. 6a, b). Diaphragmatic EMG electrodes⁴ were then implanted and respiratory parameters were measured before and 2-3 h after the administration of the DREADD ligand Clozapine-N-oxide (CNO) at rest or during treadmill running. At rest, CNO administration had no significant effect on the mean inspiratory frequency, inspiratory and expiratory durations, DiaEMG amplitude (Fig. 6c, d) and breathing variability (coefficient of variation <0.1), supporting previous findings that the RTN only minimally contributes to the baseline breathing rate³⁷. When animals were made to run at 40 cm/s they showed, prior to CNO administration, an augmented respiratory frequency (269% increase) and amplitude (263% increase), in agreement with previous work⁴. However, following CNO administration, their breathing rate and DiaEMG amplitudes were significantly reduced compared to the pre-CNO measurements at the same running speed (Fig. 6e, f). Furthermore, CNO-treated mice showed a less pronounced reduction in their expiratory time (Te). Administration of saline in hM4Di-injected mice, or of CNO on wild-type mice, changed neither the breathing rate, expiratory and inspiratory times, nor the DiaEMG amplitude both at rest and during running sessions (Fig. S11). We also did not observe any impact of CNO or saline alone on breathing regularity (coefficient of variation <0.1). This excludes any non-specific effects of CNO alone, as previously reported for the same concentration⁶¹. These experiments indicate that the activity of RTN^Phox2b/Atoh1 neurons is required for upregulating ventilatory frequency during running exercise.

**Fig. 6: Silencing RTN^Phox2b/Atoh1 neurons reduces respiratory frequency during running.**

RTN^Phox2b/Atoh1 neurons project to the preBötC inspiratory generator

The reduced breathing rate following the silencing of RTN^Phox2b/Atoh1 neurons suggests that this genetically defined neuronal subset may have access to the main inspiratory generator, the preBötC. While the pF region was shown to send projections to the ventral respiratory column and possibly the preBötC^62,63, this had not been determined for RTN^Phox2b/Atoh1 neurons. To examine it, similarly to what we did for CnF neurons (Figs. 1 and 2), we injected a Cre-dependent AAV coding ChR2 and a fluorescent protein in the pF region of Atoh1^FRTCre;Phox2b^Flpo animals and implanted an optic fiber above the injection site (Fig. 7a, b). Anatomically, we observed and quantified abundant eYFP-labeled varicosities of RTN^Phox2b/Atoh1 neurons in the preBötC region with a strong ipsilateral dominance (Fig. 7c, d). To demonstrate the capacity of RTN^Phox2b/Atoh1 neurons to directly modulate rhythm generation mechanisms in the preBötC, we examined respiratory responses to 50 ms single-pulse photoactivations with the same analytic tools described earlier for CnF activations (Fig. 2). We found that unilateral photostimulation of RTN^Phox2b/Atoh1 neurons could elicit an ectopic inspiratory burst and shorten the respiratory cycle (Fig. 7e, f). However, when compared to CnF photostimulation, shortenings of the respiratory cycle peaked earlier during the inspiration phase (phase 0.2 − 0.3 and 0.3 − 0.4; phase shift: 0.70 ± 0.13 and 0.69 ± 0.09; p < 0.0001) and, contrary to the CnF, stimulations during late expiration caused a significant lengthening of the respiratory cycle (phases 0.9 − 1; phase shift: 1.11 ± 0.12; p = 0.0004). Here again, stimulation of RTN^Phox2b/Atoh1 neurons led to phase dependent inspiratory responses in keeping with the preBötC excitability dynamics. Yet unlike the CnF, no shortening of the subsequent cycles following the stimulus was observed (Fig. S12). Moreover, 1 s light stimulations of the RTN^Phox2b/Atoh1 neurons resulted in significant augmentations of respiratory frequency during the stimulus, mostly accounted for by a decrease of Te, even at the lowest stimulation frequencies (Fig. 7g, h). RTN^Phox2b/Atoh1 to preBötC connectivity is further corroborated by the detection of eYFP puncta in the preBötC following the injection of a Cre-dependent AAV coding a synaptophysin-fused eYFP in the pF area on Atoh1^FRTCre;Phox2b^Flpo animals (Fig. 7i, j). Altogether, these results demonstrate that the genetically defined subset of RTN^Phox2b/Atoh1 neurons can upregulate respiratory rate through direct projections to the preBötC.

**Fig. 7: RTN^Phox2b/Atoh1 neurons contact the preBötC and impact respiratory rhythm generation.**

Discussion

A neuronal substrate for hyperpnea during running has long been proposed but its underlying cells and circuits had remained speculative. We uncover here two systems by which the central locomotor network can enable respiratory rate augmentation in relation to running activity (Fig. 8). On the one hand, we reveal the capacity of the MLR subnucleus CnF, a conserved locomotor controller^{12,15,16,17,18,19}, to upregulate breathing. On the other hand, we demonstrate that when active, the lumbar enlargement of the spinal cord containing the hindlimb CPG, also potently upregulates breathing rate. Using cell-type specific circuit tracing and functional interferences, we further characterize each locomotor drive by identifying its specific neuronal target in the respiratory network.

**Fig. 8: Graphical representation of revealed circuits.**

Multiple locomotor drives set respiratory rhythm frequency

A remarkable finding reported here is the function of the CnF beyond locomotor control. We should stress again here that our injection scheme only minimally transfects, and likely does not photoactivate, neurons in the adjacent PAG and IC (Fig. S1). While these structures may modulate breathing in specific contexts⁶⁴, they do not contribute to the modulations reported here (Fig. S5). One intriguing feature we observed with CnF stimulations is that respiratory rate is upregulated before the engagement of locomotor movements, or for stimulations that are below the threshold for locomotor initiation (Fig. 3). This might be consequent to the direct access of the CnF to the preBötC (Figs. 1 and 2), while its access to the limb circuits requires the crossing of multiple synapses, including reticulospinal relay neurons^16,65 (Fig. 8b). The regulation of breathing by the CnF in the absence of locomotor movements places the CnF as a bona fide respiratory modulator structure. Admittedly, we could not assess the necessity of these neurons for the development of the ventilatory response during spontaneous running exercise since their silencing itself impairs the capacity of the animal to actually run, and therefore exercise¹⁶. Nevertheless, in the lamprey, spontaneous swimming bouts are preceded by a marked increase in respiratory frequency^20,28. Activity of the CnF prior to movement initiation may hence bear physiological relevance as an anticipatory mechanism to the planned motor action. Human subjects informed of an upcoming exercise or imagining performing an exercise^7,8,9 also show increased ventilation and cardiovascular responses, although less drastic than during actual movements. These adjustments are reminiscent of the “pre-loco” phase resulting here from CnF stimulations (Fig. 3). Interestingly, the CnF is associated with escape-like fast regime running^15,16, and may be part of a larger command system for defensive behaviors in the broad sense^66,67. It may therefore bear output connectivity allowing to engage a composite response with both cardiovascular⁶⁷, respiratory (this study and ref. ²⁰), and if needed, locomotor components. Data in the lamprey indicate that locomotor and respiratory centers are contacted by distinct MLR neurons²⁰. Pending an equivalent examination in mice, it is possible that the MLR may, similarly to other descending motor pathways⁴⁴, host projection-defined subsets that each control one trait of a multi-faceted behavior.

We also report the existence of a modulation of breathing rate upon activation of the lumbar spinal segments that contains the hindlimb locomotor circuits^21,22 (Fig. 8c). Such an ascending drive, previously suggested in rats^23,24, is demonstrated here in mice by local pharmacological (Fig. 5) or optogenetic (Fig. S9) activations of the lumbar enlargement on reduced preparations ex vivo. Indeed, ex vivo, the absence of the MLR and of peripheral structures as well as the experimental control of the extracellular solution, allow to isolate the functional contribution of the spinal ascending drive from descending, peripheral feedbacks, and central chemoceptive ones. We hence propose that active locomotor executive circuits (through projections to the RTN, see below), continuously inform respiratory centers on the state of ongoing locomotion and are, at least partly, causal to the further increase of respiratory rate seen when animals engage in locomotion (i.e., the “loco” phase) following CnF stimulations (Fig. 8c). This is further supported by the recent report of increased respiratory-like activity after activation of the lumbar enlargement in rat neonatal preparations²³. Yet, we cannot rule out a persisting activity of CnF neurons during the running exercise¹⁶. This leaves open the possibility that the two locomotor drives, i.e., from the CnF and the lumbar spinal cord, may synergize to set the respiratory frequency during ongoing running.

Different respiratory nodes integrate distinct locomotor drives

Another intriguing observation is that the two revealed locomotor drives target different nuclei in the respiratory rhythm generating network. The CnF connects to the preBötC, the main site of inspiratory rhythm generation^25,26, while the lumbar CPG contacts the pF respiratory region, and possibly the RTN^Phox2b/Atoh1 previously implicated in central CO₂ chemoception^29,30,59,60 that in turn projects onto the preBötC (Fig. 8b, c).

For the former, the connectivity is first demonstrated anatomically by the detection of anterogradely labeled fibers, and a transsynaptic labeling approach initiated from Glut⁺ preBötC neurons (Fig. 1). This connectivity is also supported functionally, by the capacity of Glut⁺ CnF neurons or their projections in the preBötC to impact respiratory rhythm mechanisms (Fig. 2). In contrast, we found that ascending projections from the lumbar spinal cord were virtually absent in the preBötC but were dense in the pF (Fig. 4), in an area compatible with that of the RTN. The synaptic nature of these ascending projections was ascertained using a synaptic labeling (Fig. 4g) and an anterograde transsynaptic strategy⁵⁷ (Fig. 4h). The functionality of these ascending projections and the identity of their neuronal targets as RTN^Phox2b/Atoh1 neurons were demonstrated both by silencing experiments in vivo (Fig. 6) and by ex vivo experiments on RTN null mutants (Fig. 5). In the latter situation, peripheral chemoreceptors, sensory activation or other metabolic factors do not contribute. Hence, the spinal locomotor circuits provide at least one source of RTN^Phox2b/Atoh1 neuron excitation, which may be complemented in vivo by other sources including neighboring adrenergic C1 neurons^29,68 or somatic afferents⁶⁹. The requirement of the RTN is further supported by the perturbed respiratory-like activity following bilateral lesions of the RTN in rat neonatal preparations²³, and the increased c-Fos expression in RTN neurons following exercise in adult rats³⁶. Furthermore, a broader silencing of RTN and neighboring adrenergic neurons, defined by Phox2b expression alone, was previously shown to limit the running capacity in rats³⁷. Therefore, the RTN^Phox2b/Atoh1 subset may be the prominent integrator of the ascending locomotor drive, at least for the setting of respiratory frequency. A previous study (in rats) of the role of the RTN in mediating changes in the respiratory activity during exercise concluded that the RTN does not appear to be involved in triggering the initial increases in ventilation at the onset of exercise but is rather critical in maintaining increased respiratory effort during sustained exercise³⁷. Our work strikingly substantiates this view. The CnF would pre-empt and trigger heightened metabolic demand at the onset of exercise while the RTN, by adjusting the respiratory effort to the engaged and sustained locomotion, might determine exercise capacity.

We also show that the RTN^Phox2b/Atoh1 neurons in turn project to the preBötC (Fig. 7). This makes the preBötC inspiratory generator a final integrator of both the descending (from the CnF, Fig. 8b) and the ascending (from the lumbar spinal cord, Fig. 8c) locomotor drives and raises the question of the identity of the targeted neurons. Our transsynaptic tracing scheme from the preBötC demonstrates that the CnF targets glutamatergic preBötC neurons (Fig. 1h–j). Comparatively however, the number of transsynaptically labeled neurons in the pF area was much lower (Fig. S2d, e). Moreover, brief CnF photostimulations were most effective to shorten the respiratory cycle when delivered during early expiration but failed when delivered during inspiration (Fig. 2). This is reminiscent to what was observed when directly stimulating glutamatergic preBötC neurons collectively⁴⁶ or the Dbx1-expressing V0 subset⁴⁵, the main rhythmogenic candidates⁴¹. In contrast, when stimulating the RTN^Phox2b/Atoh1, the shortening of the respiratory cycle is most efficient during inspiration and a significant lengthening of the respiratory cycle is observed when photoactivations are delivered in late expiration (compare Fig. 2c with Fig. 7f). This permissive action in inspiration and the lengthening in expiration recall what others have reported when specifically activating inhibitory, but not excitatory, preBötC neurons⁴⁶. The RTN^Phox2b/Atoh1 and the CnF might thus preferentially target different cell-types in the preBötC: inhibitory neurons for the former, and glutamatergic ones for the latter. Note that such a bias towards preBötC inhibitory target neurons for the RTN^Phox2b/Atoh1 compared to the CnF would be mechanistically compatible with switching from CnF-induced “pre-loco” moderate respiratory frequency increase, to the higher “loco” respiratory frequency range associated to actual locomotion. Indeed, the current model ascribes a limited ability of preBötC excitatory neurons compared to inhibitory neurons at entraining high frequency rhythms⁴⁶. Although our data are compatible with such a working model, the proposed connectivity will need to be investigated directly by future work.

Limitations and perspectives

While both the CnF and spinal locomotor circuits have the capacity to upregulate breathing frequency, further adjustments can be achieved by changes in tidal volume and by the mobilization of active expiration, a candidate signature of exercise hyperpnea. The expiratory motor drive was not directly monitored here and recording the activity of abdominal respiratory muscles would be required. The possibility that the spinal ascending locomotor drive contributes to the onset of active expiration is yet likely given that (i) Te was found considerably reduced in ventilatory responses to 1 s photostimulations of RTN^Phox2b/Atoh1 neurons (Fig. 7h) as expected from induction of an active expiratory phase, (ii) the widespread projections onto the pF region, including its lateral aspect (Fig. 4f) thought to host an expiratory oscillator^26,35, and (iii) the recent demonstration that optogenetic activation of CO₂ chemoceptive RTN neurons induces active expiration³⁴. Finally, while our results localize the locomotor ascending drive to the lumbar spinal cord, the identity of incriminated neurons will remain to be characterized. Our spinal injections were intentionally targeted to the entire thoraco-lumbar enlargement, since the locomotor-promoting circuits are distributed across multiple segments⁵⁵. Spinal neurons of V2a, V0_V or V3 genetic identity as well as Shox2 and Hb9-expressing ones stand as candidates, by virtue of their glutamatergic nature and their direct contribution to locomotor rhythm and pattern^21,70. In any case, should these neurons and possibly the ensuing ascending drive be rhythmically modulated during locomotion, this fails to translate in a phased entrainment of breathing (this study and ref. ⁴).

General conclusion

We provide here a firm demonstration and a circuit characterization of two central neuronal drives for breathing adaptation during running. The circuit revealed highlights the multi-functional ambition of cell-types and pathways that are typically regarded as “locomotor” or “respiratory” related. This represents an entry point to further decipher the nodes and links through which distinct motor programs necessarily cooperate.

Methods

Mice

C57BL/6J wild-type mice were obtained from Janvier Labs (Le Genest-Saint-Isle, France). VGlut2-IRES-Cre animals (therefafter Vglut2^Cre,³⁸ and Ai32(RCL-ChR2(H134R)/EYFP) (thereafter ChR2^floxed, ref. ⁷¹) were obtained from Jackson Laboratories. To manipulate RTN^Phox2b/Atoh1 neurons we used the following mouse lines: Egr2^Cre⁷² crossed with Phox2b^27AlaCKI59 and Atoh1^FRTCre; Phox2b^Flpo⁶⁰ mouse lines. All animals were kept on the C57BL/6J background and group-housed with free access to food and water in controlled temperature (21 °C) and humidity (between 40 and 55%) conditions and exposed to a conventional 12-h light/dark cycle. Experiments were performed on animals of either sex, aged 2 to 3 months at the time of first injection and data from males and females were pooled. The distribution of males and females for all experimental condition is presented in the Source data files. All procedures were approved by the French Ethical Committee (“Comité d’éthique en Expérimentation Animale”, CEEA #59, authorization 2020-022410231878) and conducted in accordance with EU Directive 2010/63/EU. All efforts were made to reduce animal suffering and minimize the number of animals.

Viruses used

For anterograde tracings and photostimulations of the CnF and its projections in the preBötC, as well as for photoactivations of IC and the PAG, we used a Cre-dependent AAV9-Ef1a-DIO-hChR2(E123T/T159C)-eYFP (Addgene #35509, titer 7.7e12 vp/ml^44,73) unilaterally (40 to 100 nL). No labeling was seen in wild-type animals (see also ref. ⁷³ and⁴⁴ for validation studies). For anterograde tracing from the lumbar spinal cord, the same virus was injected bilaterally (600-750 nL/side) in the second lumbar segment, and for RTN^Phox2b/Atoh1 photostimulations, the injection was unilateral (350-500 nL). For reversible silencing of RTN^Phox2b/Atoh1 neurons, we used bilateral injections (350-500 nL/side) of an AAV8.2-hEF1a-DIO-hM4Di-mCherry-WPRE⁴⁴ obtained from Dr. Rachael Neve (Gene Delivery Technology Core, Massachusetts General Hospital, USA, titer: 5.6e12 vp/ml). No labeling was seen in wild-type mice. For transsynaptic labeling of inputs onto preBötC neurons, we used 500 nL of a HSV1-hEF1a-LS1L-TVA950-T2A-rabiesOG-IRES-mCherry obtained from Dr. Rachael Neve (Gene Delivery Technology Core, Massachusetts General Hospital, USA), and 200 nL of EnvA-∆G-rabies-GFP obtained by the GT3 core (Salk Institute, USA, titer: 9.59e9 vp/ml), with inspiration from previous work⁴⁴. For anterograde transsynaptic tracing, we used injection of an AAV2/1-hSyn-Cre-WPRE-hGH (UPenn Vector Core, titer: 6.68e13 vg/ml, validated in⁵⁷) bilaterally in the lumbar spinal cord (600-750 nL/side) and the same AAV (Addgene # 35509) as for anterograde tracing and optogenetic stimulations bilaterally in the pF area (300 nL/side). For anterograde synaptic tracing from the RTN^Phox2b/Atoh1, we used unilateral injection (350-500 nL) of an AAV8.2-hEF1a-DIO-synaptophysin-eYFP⁵⁶ obtained from Dr. Rachael Neve (Gene Delivery Technology Core, Massachusetts General Hospital, USA, titer: 5.4e12 vp/ml). No labeling was seen in wild-type mice.

Surgical procedures

Injections and implants in the brainstem

Procedures are inspired by previous work⁴⁴. Animals were anesthetized with isoflurane throughout the surgery (4% at 1 L/min for induction; 2-3% at 0.2 L/min for maintenance). Buprenorphine (0,025 mg/kg) was administered subcutaneously for analgesia before the surgery. The temperature of the mice was maintained at 36 °C with a feedback-controlled heating pad. Anesthetized animals were placed on a stereotaxic frame (Kopf) and the skull was exposed. Viral vectors were delivered using a pulled glass pipette connected to a syringe pump (Legato 130, KD Scientific, customized by Phymep, France). Infusion flow was set to 100 nL/min. Coordinates (in mm) used to target CnF neurons (Figs. 1–3) were: 4.4 caudal to bregma, 1.3 lateral, and 2.8 mm from skull surface. Coordinates used to target PAG neurons (Fig. S5) were: 4.4 caudal to bregma, 0.3 lateral, and 2.8 mm from skull surface. To target IC neurons (Fig. S5), they were: 4.4 caudal to bregma, 1.3 lateral, and 1.7 mm from skull surface. In both cases, the volume injected was 50 nL. RTN^Phox2b/Atoh1 neurons were targeted unilaterally (Fig. 7) or bilaterally (Figs. 4 and 6) using the following coordinates: 6.0 caudal to bregma, 1.25 lateral, and 5.8 from skull surface. preBötC injections (Fig. 1) were performed at the following coordinates: −7.2 from bregma, 1.25 lateral, and 5.7 from skull surface. After the injection, the pipette was held in place for 5 to 10 min before being slowly retracted. For CnF, CnF fibers in the preBötC, RTN^Phox2b/Atoh1, PAG and IC optogenetic activations, a 200 µm core 0.39 NA optic fiber connected to a 1.25 mm diameter ferrule (Thorlabs) was implanted 0.4 mm above targeted sites. Optic fibers were secured to the skull with dental cement (Tetric Evoflow). Animals were followed daily after surgery.

Injections in the spinal cord

Animals were anesthetized as described above and spinal injections were performed as previously done^44,74. A two cm skin incision was performed dorsally on anesthetized animals and exposed spinal column was fixed with two holders on the left and right sides to a stereotaxic frame to minimize movements. Vertebral spinous processes were used as landmarks to target specific segments⁷⁵. A small incision of the ligamentum Flavum allowed access to the spinal cord. A pulled glass pipette connected to a motorized syringe pump injector (Legato 130, KD Scientific, customized by Phymep, France) was positioned into the ventromedial area of the L2 (second lumbar segment, between the 11^th and 12^th vertebral bodies) using the following coordinates: 350 μm laterally from the dorsal artery and 800 μm depth from the dorsal surface. This lateral positioning ensures that the injection pipette does not pass through the lateral funiculus where ascending and descending axons travel. The volume injected was 600-750 nL/side to allow for transfection of neurons across multiple thoraco-lumbar segments (see Fig. 4a, b). For Cholera Toxin B (CTB) experiments (Fig. S8), we injected 600-750 nL of CTB-AF647 conjugate (ThermoFisher Scientific, ref. # C-34778) diluted at 0.5% in sterile water on each side of the spinal cord. After each injection, the pipette was held in place for 5 to 10 min before being slowly retracted. The skin was sutured, and animals were followed daily after the surgery. All animals recovered without motor impairments.

Diaphragm EMG recordings

The protocol is inspired by previous work⁴. A 12 cm pair of electrodes was prepared from Teflon-coated insulated steel wires with an outside diameter of 0.14 mm (A-M systems, ref. # 793200). Two wires were lightly twisted together, and a knot was placed 5 cm from one end. At 1 cm from the knot, the Teflon insulation was stripped over 1 mm from each wire so that the two bare regions were separated by about 2 mm. The ends of the two wires were soldered to a miniature dissecting pin. The free ends of the electrodes, and a 5 cm ground wire were soldered to a micro connector (Antelec). Nail polish was used to insulate the wires at the connector.

For diaphragm implantation, animals were anesthetized with isoflurane throughout the surgery (4% at 1 L/min for induction; 2-3% at 0.2 L/min for maintenance), placed in a stereotaxic frame and hydrated by a subcutaneous injection of saline solution (0.9%) as previously reported⁴. Their temperature was maintained at 36 °C with a feedback-controlled heating pad. This step was crucial to ensure post-surgery survival. The skull was exposed and processed to secure the micro connector using dental cement (Tetric Evofow). The ground wire was inserted under the neck’s skin and the twisted electrodes were tunneled towards the right part of the animal guided by a 10 cm silicon tube of 2 mm inner diameter. The animal was then placed in supine position, the peritoneum was opened horizontally under the sternum, extending laterally to the ribs, and the silicon tube containing the electrodes was pulled through the opening. The sternum was clamped and lifted upwards to expose the diaphragm. A piece of stretched sterile parafilm was placed on the upper part of the liver to avoid friction during movement of the animal and to prevent conjunctive tissue formation at the recording sites. The miniature dissecting pin was pushed through the right floating ribs. The pin was then inserted through the sternum, leaving the bare parts of the wires in superficial contact with the diaphragm. The electrodes’ position was secured on both sides of floating ribs and sternum using dental cement. The pin was removed by cutting above the secured wires. The peritoneum and abdominal openings were sutured and a head bar was placed on the cemented skull to facilitate animal’s handling when connecting and disconnecting EMG cables during behavioral sessions. Buprenorphine (0.025 mg/kg) was administered subcutaneously for analgesia right after surgery and animals were observed daily following the surgery and treated with Buprenorphine (0.025 mg/kg per day) if needed.

Histology

Adult mice were anesthetized with Euthasol Vet (140 mg/kg) and perfused with 4% paraformaldehyde (PFA) in 1× Phosphate Buffered Saline (PBS). Brains and spinal cords were dissected out and fixed overnight in 4% PFA at 4 °C. After fixation, tissues were rinsed in 1× PBS. Brains and spinal cords were cryoprotected overnight at 4 °C, respectively in 16% and 20% sucrose in PBS. Tissues were rapidly cryo-embedded in OCT mounting medium and sectioned at 30 µm using a cryostat. Sections were blocked in a solution of 1× Tris Buffered Saline (TBS), 5% normal donkey serum and 1% Triton X-100. Primary antibodies, carried out 48 h at 4 °C, were: goat anti-ChAt (1:500, ref. # AB144P, Merck Millipore), chicken anti-GFP (1:500, ref. # 1020, Aves Labs), rabbit anti-RFP (1:500, ref. # 600-401-379, Rockland), rabbit anti-SST (1:500, ref. # T-4103, BMA Biomedicals), and sheep anti-TH (1:500, ref. # AB1542, Merck Millipore). Primary antibodies were detected after 2 h of incubation at room temperature with appropriate affinity-purified secondary antibodies obtained from Jackson ImmunoResearch and used at a final dilution of 1:500: donkey anti-chicken AlexaFluor 488 (ref. # 703-545-155), donkey anti-rabbit Cy3 (ref. # 711-165-152) or Cy5 (ref. # 711-175-152), donkey anti-Goat AlexaFluor 647 (ref. # 705-605-147) and donkey anti-sheep Cy 3 (ref. # 713-166-147). Sections were counterstained with a fluorescent Nissl stain (NeuroTrace 435/445 blue, ref. # N21479 or NeuroTrace 640/660 deep-red, ref. # N21483, 1:1000, Thermo Fisher Scientific) and mounted in Prolong Diamond Antifade Montant (P36970, Thermo Fisher Scientific). Sections were acquired with a Leica TCS SP8 confocal microscope running the LAS X v3.5 software (NeuroPICT imaging platform of the NeuroPSI Institute) and using ×10 and ×25 objectives, or on Zeiss AxioImager running the ZEN 3.4 software using a ×10 objective.

The preBötC was defined as located ventrally to the cholinergic ChAT⁺ neurons of the nucleus ambiguus (na) where somatostatin⁺ (SST) neurons are detected³⁹ (Figs. 1, 4, 7; from 7.0 to 7.4 mm caudal to bregma). The pF respiratory region was defined as immediately ventral, ventro-median and ventro-lateral to facial motor neurons⁷⁶ (7N; Figs. 1, 4, 6, and 7; from 6.7 to 5.7 mm caudal to bregma).

Behavioral experiments

Optogenetic activations

Behavioral experiments started 3 to 5 weeks after the viral injection. Implanted animals were connected to a laser source (473 nm DPSS system, LaserGlow Technologies, Toronto, Canada) through a mating sleeve (Thorlabs). The laser was triggered by the output of a National Instruments interface (NI-USB 6211) and the timings of light activations were delivered using the NI MAX v19.6 software, as we did previously⁴⁴. For CnF, RTN^Phox2b/Atoh1, PAG or IC long photostimulation, light was delivered in trains of pulses of 20 ms (5 to 20 Hz) and of 15 ms (30 and 40 Hz) for a duration of 1 s. Each stimulation frequency was repeated three times with several minutes of rest between trials. We used the minimal laser power sufficient to evoke a response, which was measured to be between 5-12 mW at the fiber tip using a power meter (PM100USB with S120C silicon power head, Thorlabs) to restrict photoactivations unilaterally⁴⁷, prevent heat, and exclude an unintentional silencing by over-activation. For randomized short light-pulses, 50 ms light stimulations (50-70 pulses/experiment) were applied randomly in the respiratory cycles.

Plethysmography recordings

To analyze the effect of short photoactivations of the CnF and CnF fibers in the preBötC (Fig. 2), RTN^Phox2b/Atoh1 (Fig. 7), and PAG and IC (Fig. S5) on burst timing, ChR2-injected animals were placed inside a hermetic whole-body plethysmography (WBP) chamber⁶⁰, customized to allow the passage of the optical patch-cord, four weeks after viral injection. The plethysmography signal was recorded over a period of 10 min using a National Instruments Acquisition card (USB-6211) and the LabScribe NI v3.0 software (iWorxs).

Locomotion in a linear runway

Four to five weeks following the injection of the ChR2-expressing virus in the CnF, animals were implanted with a diaphragm EMG as explained previously (Fig. 3). One week following EMG implantation, animals were placed in a linear corridor (80 × 10 cm), and familiarized for 1 h/day for 3 days prior to experiments. Implanted animals were filmed from the side at 200 fps and 0.5 ms exposure time using a CMOS camera (Jai GO-2400-USB) and images were streamed to a hard disk using the 2^nd LOOK v2.0 software (IO Industries). The start of the EMG recordings was hardware-triggered by the start of the video-recordings using the frame exposure readout of the video camera, so that the two recordings are synchronized. When animals were immobile at one end of the corridor and their respiration was stable, we delivered CnF optogenetic activations with frequencies ranging from 5 to 40 Hz. For each frequency, the stimulation was repeated three times with several minutes of rest between trials.

Chemogenetic silencing and treadmill experiments

Three weeks following the injection of the hM4Di virus in the RTN^Phox2b/Atoh1, animals were implanted for diaphragm EMG recordings as explained above (Fig. 6). Non-injected C57BL/6 J wild-type mice were also implanted as controls to test for CNO side effects (Fig. S11). One week following EMG implantation, animals were familiarized on a stationary custom-made motorized treadmill with adjustable speed range (Scop Pro, France, belt dimensions: 6 cm × 30 cm) for 30 min/day for 3 days prior to the experiments. In addition, implanted animals were exercised during this time for a total of 5 min at 40 cm/s each day. Mice could rest for 5 min after running before being placed back in their cage. This step was crucial to obtain stable running animals during experimental sessions. Following this short training, implanted mice were connected with custom light-weight cables to an AC amplifier (BMA-400, CWE Inc.) and neurograms were filtered (high-pass: 100 Hz, low-pass: 10 kHz), collected at 10 kHz using a National Instruments acquisition card (USB-6211) and live-integrated using the LabScribe NI v3.0 software (iWorxs). Animals were first placed on the stationary treadmill to monitor basal respiration. Animals were then challenged to trot at 40 cm/s for 1.5 min before being administered intraperitoneally with CNO (Enzo Life science, ref. #: BML-NS105-0005) at 10 mg/kg⁶¹ or saline (0.9%). Animals were placed again on the treadmill with the same paradigm 2-3 h and 5 h after CNO or saline administration to measure respiration in resting and running conditions. During experiments, animals were filmed from the side in the same way as above to monitor the stability of running episodes.

Ex vivo brainstem-spinal cord experiments

Pups aged 1-2 days were used in all experiments. Neonates were anaesthetized with isoflurane, decerebrated and the brainstem still attached to the spinal cord was dissected and isolated in ice-cold Ringer’s solution that contained (in mM): 111 NaCl, 3 KCl, 25 NaHCO₃, 1.25 MgSO₄, 1.1 KH₂PO₄, 2.5 CaCl₂ and 11 D-Glucose, and oxygenated in 95% O₂, 5% CO₂ to obtain a pH of 7.4. Isolated brainstem-spinal cords were transferred into a recording chamber and pinned to a Sylgard 184 resin. Preparations were partitioned in two compartments at the level of lower thoracic segments (T11) using a Vaseline wall, to restrict bath application of locomotor drugs on the lumbar spinal cord (Fig. 5). The lumbar compartment was continuously perfused with the above Ringer’s solution while the rostral compartment containing the brainstem was superfused with a Ringer’s solution that contained (in mM): 111 NaCl, 8 KCl, 25 NaHCO₃, 3.7 MgSO₄, 1.1 KH₂PO₄, 1.25 CaCl₂ and 30 D-Glucose. All recordings were done at room temperature (25 °C) after allowing 30 min recovery period after the dissection. Respiratory- and locomotor-like activities were recorded respectively on the 4^th cervical (C4) and the 2^nd lumbar (L2) ventral roots using extracellular suction glass pipettes (120F-10, Harvard Apparatus). Drug-evoked locomotor-like activities were induced by bath-applying 10 to 14 µM of N-methyl-D-aspartate (NMDA, Tocris) and serotonin (5-HT, Sigma-Aldrich, Fig. 5), or using blue light on the lumbar spinal cord of ChR2-expressing pups (Vglut2^Cre; ChR2 ^floxed, Fig. S9d–f). Signals were collected and band-passed filtered at 100 Hz to 1 kHz with an AC amplifier (Model 1700, A-M Systems) and live-integrated (Neurolog NL703, Digitimer) with a time constant of 100 ms (C4) or 200 ms (L2). Signals were sampled using Clampex 11 (Molecular Devices) at 5 kHz. To control for locomotor drugs leakage, some preparations were transected at the level of the cervical spinal cord (Fig. S9a–c). For brainstem transection experiments, the rostral part of the brainstem containing the pF respiratory region was physically removed (Fig. 5d–f). Egr2 ^Cre;Phox2b ^27AlaCKI pups were used to genetically eliminate RTN^Phox2b/Atoh1 neurons^59,60 (Fig. 5g–i).

Quantifications and statistical analysis

Registration of CnF injection sites

To evaluate the extent of viral expression in the CnF and neighboring areas (anterograde tracing, Fig. 1; photostimulations, Figs. 2 and 3), we registered the position of all infected cells using ImageJ Cell Counter plugin from one coronal plane at sites of injection. The position of reporter-positive cells from each coronal section as well as optic fiber placement are shown in Fig. S1.

Axonal projection and cell quantifications

To quantify axonal projections from CnF (Fig. 1g), lumbar (Fig. 4e), and RTN^Phox2b/Atoh1 (Fig. 7d) neurons to brainstem respiratory areas, we manually defined i) the pF region as immediately ventral, ventro-median, ventro-lateral and lateral to facial motor neurons⁷⁶ (bregma − 6.7 to −5.7 mm), and ii) the preBötC as a 400 × 400 μm square residing ventrally to the ChAT⁺ nucleus ambiguus, where somatostatin⁺ cells are detected³⁹ (bregma −7.0 to −7.4 mm). We used three rostro-caudal coronal sections from preBötC and/or pF and measured the number of fluorescent pixels per μm² bilaterally (Figs. 1 and 7) or unilaterally (Fig. 4) using the ImageJ Measure plugin. All values were averaged across animals (3 sections/animal) and a grand mean ± SD across n animals was calculated per hemi-section.

To evaluate the rostro-caudal organization of projections and transfected cells within the pF, we delineated pF subregions as follows: bregma −5.7 (rostral), −6.1 (intermediate), and −6.7 (caudal, see Fig. 4f). Each pF subregion was further divided into lateral vs medial portions. We used one coronal section per subregion per animal to quantify i) projections from the lumbar spinal cord (Fig. 4f) using ImageJ Measure plugin, and ii) the number of infected pF (Fig. 4i) and RTN^Phox2b/Atoh1 (Figs. 6b and 7b) neurons using ImageJ Cell Counter. All values were averaged across animals and a grand mean ± SD across n animals was calculated per hemi-section.

To assess the rostro-caudal distribution of transfected cells in the spinal cord (Fig. 4b), we used one coronal section from seven segments of the spinal cord: the 12th (T12) and 13^th (T13) thoracic, and the 1st to 5th lumbar (L1 to L5) segments. Cells were counted using ImageJ Cell Counter. All values were averaged across animals (1 section/animal) and a grand mean ± SD across n animals was calculated per hemi-section.

Phase-shift analysis

The durations of the respiratory cycle containing the light stimulus (perturbed cycle, θ) and the previous respiratory cycle (control cycle, ɸ, Figs. 2 and 7) were measured. One respiratory cycle was defined from the onset of inspiration to the subsequent inspiratory onset. The phase of light-stimulation ɸ_S was defined from the onset of the perturbed cycle to the onset of the light pulse. The perturbed cycle θ was defined as from the onset of the inspiration that precedes the light stimulation to the onset of the subsequent inspiration. The perturbed phase (phase-shift) was calculated as the ratio of the perturbed cycle divided by the control cycle (θ/ɸ). The light phase was defined as the ratio of the stimulated cycle divided by the control cycle (ɸ_S/ɸ). The perturbed phase was then plotted against the light phase for all events from all animals. A phase shift <1 (perturbed cycle duration lower than the control one) indicates a shortening of the respiratory cycle, a phase shift >1 (perturbed cycle duration higher than the control) indicates a lengthening, and a phase shift equal to 1 (perturbed cycle duration equal to the control) indicates no effect. The number of events (N) and animals (n) are given in the corresponding figures for all tested condition. In addition, the average perturbed phase was plotted against the average light phase in 0.1 ms bins as mean ± SD. Inspiratory time (I) was measured, averaged for each animal and a grand average was calculated and annotated in the corresponding figures for all tested condition. Expiratory time (E) was calculated from respiratory cycle and inspiratory (I) times.

Locomotor parameters analysis

To track the mouse displacement and measure its speed, we used DeepLabCut (version 2.1.5.2, ref. ⁴⁸) and manually labeled the positions of the head from 50 frames of each video. We then used 95% of the labeled frames to train the network using a ResNet-50-based neural network with default parameters for 3 training iterations. This network was then used to analyze videos from similar experimental settings. For treadmill experiments (Fig. 6), the head x coordinate was used as a control for running stability on the treadmill. For CnF stimulations on the corridor (Fig. 3), the head x coordinate was used to calculate the animal’s speed s_x using the gradient over time.

$$\vec{{s}_{x}}=\frac{\partial \vec{x}}{\partial t},\, \vec{x}\,{{{{{\rm{being}}}}}}\; {{{{{\rm{the}}}}}}\; {{{{{\rm{displacement}}}}}}\; {{{{{\rm{of}}}}}}\; {{{{{\rm{the}}}}}}\; {{{{{\rm{head}}}}}}\; {{{{{\rm{along}}}}}}\; {{{{{\rm{the}}}}}}\; {{{{{\rm{x}}}}}}\; {{{{{\rm{axis}}}}}}$$

Head X coordinate (treadmill) and calculated velocity (corridor) were then exported to Clampfit (Molecular Devices) and interpolated to 10 kHz to match the acquisition rate of diaphragmatic EMG recordings, as we did previously⁴. Both sets of signals (head X and diaphragm, or speed and diaphragm) were merged in single files, before being processed offline in Clampfit. The animal’s instantaneous speed is illustrated on Fig. 3. The mean speed, defined from movement onset to the end of the photostimulation, was then calculated using the statistic function in Clampfit for each CnF stimulation (5 to 40 Hz). All values were averaged across trials for each animal (3 trials/animal), and a grand mean ± SD across n animals was calculated per stimulation frequency (Fig. S6b).

Locomotor onset delay (Fig. S6c) was defined as the latency between the onset of the CnF stimulation and the onset of movement for each CnF stimulations. All values were averaged across trials (3 trials/animal) and a grand mean ± SD across n animals was calculated per stimulation frequency.

For gait analysis during CnF photostimulations (Fig. S6d), we manually annotated the paw of a reference hindlimb (ipsilateral) and registered the timings of footfalls (when the paw first touches down). Each reference locomotor cycle was then defined as the duration from one footfall (ipsi_FF_n) to the next (ipsi_FF_n+1). The time of occurrence of the contralateral hindlimb footfall within the reference locomotor cycle was annotated manually (contra_FF) and the synchronicity rate was then computed as follows:

$${synchronicity}\,{rate}=\frac{{t}_{{contra}\_{{{{{\rm{FF}}}}}}}-{t}_{{{{{{\rm{ipsi}}}}}}\_{{{{{\rm{FFn}}}}}}}}{{t}_{{{{{{\rm{ipsi}}}}}}\_{{{{{\rm{FFn}}}}}}+1}-{t}_{{{{{{\rm{ipsi}}}}}}\_{{{{{{\rm{FFn}}}}}}}}}$$

Ipsilateral and contralateral hindlimb steps were categorized as synchronized (synchronicity rate ∈[0, 0.25[∪[0.75, 1]) or alternated (synchronicity rate ∈[0.25, 0.75[). Synchronicity rates were averaged across animals (3 trials/animal) and a grand mean ± SD across n animals was calculated per stimulation frequency.

Locomotor/respiratory coordination

The temporal coordination of breaths to strides (Fig. S7) was represented with circular statistics, similarly to what we performed recently⁴ and imprinting from numerous studies having investigated the cycle-to-cycle correlations of motor activities^54,55,77. The phase of each individual inspiratory burst within the locomotor cycle (ΦInsp, around 15 bursts) is represented as the position, from 0 to 1, of diamond marks on the outer circle (see Fig. S7d). For each animal, we also computed the mean phase of consecutive inspiratory bursts and represented it as a colored circle (the mean phases of different animals are in different colors). The distance R of the mean phase to the center of the circle indicates the concentration of individual phase values around the mean, as established by⁵⁵. If inspiratory and locomotor movements are temporally correlated, then individual phase values will be concentrated around a preferred phase value (for instance 0 or 1, at the top of the circle, if the two motor activities were in phase). The mean value would then be positioned at a significant distance from the center. Conversely, if inspiratory and locomotor movements are not coupled, individual phases will be evenly distributed across the circle. Consequently, the mean phase value will be at a short distance from the diagram center, illustrating the dispersion of values around the mean. The inner circles of the circular diagrams depict the threshold for mean phase values to be considered significantly oriented (R < 0.3) as commonly done^4,54,55,77. Circular plots were obtained using a custom macro in Excel.

In vivo respiratory changes analysis

To analyze breathing changes resulting from CnF (EMG recordings; Fig. 3), RTN^Phox2b/Atoh1, PAG and IC photostimulation (WBP recordings; Figs. 7 and S5), instantaneous inspiratory frequencies and amplitude were detected over a 1 s window, using the threshold search in Clampfit before, during and directly after a 1 s light stimulation for all frequencies (5 to 40 Hz). For CnF stimulations that triggered locomotor episodes (15 to 40 Hz), the recovery period was measured as soon as the animal returned to immobility. Breaths detected from the onset of the light stimulus to the onset of movement were categorized as “pre-loco” phase (Fig. 3d, e). Breaths detected from movement onset to the offset of the light stimulus were categorized as “loco” phase (Fig. 3d, f). All values were averaged across animals (3 trials/animal) and a grand mean ± SD across n animals was calculated per stimulation frequency.

For treadmill running (Fig. 6), the mean diaphragm frequency was analyzed prior to exercise (resting condition) and from stable trotting moments, i.e., when the animal’s speed was in phase with the treadmill, inferred by the absence of changes in head’s X coordinates (running condition) ⁴. For each condition, i.e., before (CTL), during (CNO/saline) and after (REC) administration of either CNO or saline, we measured instantaneous respiratory frequency and amplitude using the threshold search in Clampfit. Inspiratory (Ti) and expiratory (Te) times were quantified manually before (CTL), during (CNO/saline) and after (REC) administration of either CNO or saline. These measurements were done using 2 to 3 windows of 6 s each taken during resting conditions and at any stable moment of the 1.5 min run (excluding the first 20 s to avoid possible stress-induced changes when the treadmill is just engaged). Measurements were averaged to give the mean value for each animal. Averaged mean values were expressed as mean ± SD across n animals.

Ex vivo respiratory-like activities analysis

Instantaneous respiratory-like frequencies were analyzed offline using the threshold search in Clampfit (Molecular Devices) before, during and after bath application of NMDA and 5-HT (Fig. 5). Respiratory frequency changes during drug and washout conditions were normalized and expressed as a percent of control values. A grand mean ± SD across n animals was calculated.

Statistical analysis

All data are expressed as mean ± SD and graphs were produced in MATLAB (R2021a) or Microsoft Excel. Two-tailed statistical tests were performed using GraphPad Prism 7 and are spelled out in figure legends, as well as the number of trials (N) and animals (n) used for each experiment. Changes were considered as not significant (ns) when p > 0.05 and as significant when p < 0.05. Exact p values are reported between conditions (*) and with control condition (§; Fig. 7) in corresponding figures.

Reporting summary

Further information on research design is available in the Nature Portfolio Reporting Summary linked to this article.

Data availability

The data that support the findings can be found in the source data provided with the paper. Original microscopy data have been deposited to Mendeley Data (https://doi.org/10.17632/wpbyxgfr96.1). For other raw data, example files can be obtained upon request. Source data are provided with this paper.

References

Mateika, J. H. & Duffin, J. A review of the control of breathing during exercise. Eur. J. Appl. Physiol. Occup. Physiol. 71, 1–27 (1995).
Article CAS PubMed Google Scholar
Gariepy, J. F., Missaghi, K. & Dubuc, R. The interactions between locomotion and respiration. Prog. Brain Res. 187, 173–188 (2010).
Article PubMed Google Scholar
Duffin, J. The fast exercise drive to breathe. J. Physiol. 592, 445–451 (2014).
Article CAS PubMed Google Scholar
Hérent, C., Diem, S., Fortin, G. & Bouvier, J. Absent phasing of respiratory and locomotor rhythms in running mice. eLife 9, e61919 (2020).
Iscoe, S. Respiratory and stepping frequencies in conscious exercising cats. J. Appl. Physiol. Respir. Environ. Exerc. Physiol. 51, 835–839 (1981).
CAS PubMed Google Scholar
Fernandes, A. et al. Cardiovascular and ventilatory responses to dynamic exercise during epidural anaesthesia in man. J. Physiol. 420, 281–293 (1990).
Article CAS PubMed PubMed Central Google Scholar
Decety, J., Jeannerod, M., Durozard, D. & Baverel, G. Central activation of autonomic effectors during mental simulation of motor actions in man. J. Physiol. 461, 549–563 (1993).
Article CAS PubMed PubMed Central Google Scholar
Tobin, M. J., Perez, W., Guenther, S. M., D’Alonzo, G. & Dantzker, D. R. Breathing pattern and metabolic behavior during anticipation of exercise. J. Appl. Physiol. 60, 1306–1312 (1986).
Article ADS CAS PubMed Google Scholar
Thornton, J. M. et al. Identification of higher brain centres that may encode the cardiorespiratory response to exercise in humans. J. Physiol. 533, 823–836 (2001).
Article CAS PubMed PubMed Central Google Scholar
Eldridge, F. L., Millhorn, D. E., Kiley, J. P. & Waldrop, T. G. Stimulation by central command of locomotion, respiration and circulation during exercise. Respir. Physiol. 59, 313–337 (1985).
Article CAS PubMed Google Scholar
Eldridge, F. L., Millhorn, D. E. & Waldrop, T. G. Exercise hyperpnea and locomotion: parallel activation from the hypothalamus. Science 211, 844–846 (1981).
Article ADS CAS PubMed Google Scholar
Le Ray, D., Juvin, L., Ryczko, D. & Dubuc, R. Chapter 4–supraspinal control of locomotion: the mesencephalic locomotor region. Prog. Brain Res. 188, 51–70 (2011).
Article PubMed Google Scholar
Leiras, R., Cregg, J. M. & Kiehn, O. Brainstem circuits for locomotion. Annu. Rev. Neurosci. 45, 63–85 (2022).
Sébille, S. B. et al. Normal and pathological neuronal distribution of the human mesencephalic locomotor region. Mov. Disord. 34, 218–227 (2019).
Article PubMed Google Scholar
Josset, N. et al. Distinct contributions of mesencephalic locomotor region nuclei to locomotor control in the freely behaving mouse. Curr. Biol. 28, 884–901.e883 (2018).
Article CAS PubMed Google Scholar
Caggiano, V. et al. Midbrain circuits that set locomotor speed and gait selection. Nature 553, 455–460 (2018).
Article ADS CAS PubMed PubMed Central Google Scholar
Roseberry, T. K. et al. Cell-type-specific control of brainstem locomotor circuits by basal ganglia. Cell 164, 526–537 (2016).
Article CAS PubMed PubMed Central Google Scholar
Dautan, D. et al. Modulation of motor behavior by the mesencephalic locomotor region. Cell Rep. 36, 109594 (2020).
van der Zouwen, C. I. et al. Freely behaving mice can brake and turn during optogenetic stimulation of the mesencephalic locomotor region. Front. Neural Circuits 15, 639900 (2021).
Article PubMed PubMed Central Google Scholar
Gariepy, J. F. et al. Specific neural substrate linking respiration to locomotion. Proc. Natl Acad. Sci. USA 109, E84–E92 (2012).
Article CAS PubMed Google Scholar
Kiehn, O. Decoding the organization of spinal circuits that control locomotion. Nat. Rev. 17, 224–238 (2016).
Article CAS Google Scholar
Grillner, S. & El Manira, A. Current principles of motor control, with special reference to vertebrate locomotion. Physiol. Rev. 100, 271–320 (2020).
Article PubMed Google Scholar
Le Gal, J. P., Juvin, L., Cardoit, L., Thoby-Brisson, M. & Morin, D. Remote control of respiratory neural network by spinal locomotor generators. PLoS ONE 9, e89670 (2014).
Article ADS PubMed PubMed Central Google Scholar
Le Gal, J. P. et al. Modulation of respiratory network activity by forelimb and hindlimb locomotor generators. Eur. J. Neurosci. 52, 3181–3195 (2020).
Smith, J. C., Ellenberger, H. H., Ballanyi, K., Richter, D. W. & Feldman, J. L. Pre-Botzinger complex: a brainstem region that may generate respiratory rhythm in mammals. Science 254, 726–729 (1991).
Article ADS CAS PubMed PubMed Central Google Scholar
Del Negro, C. A., Funk, G. D. & Feldman, J. L. Breathing matters. Nat. Rev. 19, 351–367 (2018).
Article Google Scholar
Yang, C. F., Kim, E. J., Callaway, E. M. & Feldman, J. L. Monosynaptic projections to excitatory and inhibitory prebötzinger complex neurons. Front. Neuroanat. 14, 58 (2020).
Article CAS PubMed PubMed Central Google Scholar
Gravel, J., Brocard, F., Gariépy, J. F., Lund, J. P. & Dubuc, R. Modulation of respiratory activity by locomotion in lampreys. Neuroscience 144, 1120–1132 (2007).
Article CAS PubMed Google Scholar
Abbott, S. B., Stornetta, R. L., Coates, M. B. & Guyenet, P. G. Phox2b-expressing neurons of the parafacial region regulate breathing rate, inspiration, and expiration in conscious rats. J. Neurosci. 31, 16410–16422 (2011).
Article CAS PubMed PubMed Central Google Scholar
Abbott, S. B. et al. Photostimulation of retrotrapezoid nucleus phox2b-expressing neurons in vivo produces long-lasting activation of breathing in rats. J. Neurosci. 29, 5806–5819 (2009).
Article CAS PubMed PubMed Central Google Scholar
Iscoe, S. Control of abdominal muscles. Prog. Neurobiol. 56, 433–506 (1998).
Article CAS PubMed Google Scholar
Abraham, K. A. et al. Respiratory-related activation of human abdominal muscles during exercise. J. Physiol. 541, 653–663 (2002).
Article CAS PubMed PubMed Central Google Scholar
Ainsworth, D. M., Smith, C. A., Eicker, S. W., Henderson, K. S. & Dempsey, J. A. The effects of locomotion on respiratory muscle activity in the awake dog. Respir. Physiol. 78, 145–162 (1989).
Article CAS PubMed Google Scholar
Souza, G., Stornetta, R. L., Stornetta, D. S., Abbott, S. B. G. & Guyenet, P. G. Differential contribution of the retrotrapezoid nucleus and C1 neurons to active expiration and arousal in rats. J. Neurosci. 40, 8683–8697 (2020).
Article CAS PubMed PubMed Central Google Scholar
Huckstepp, R. T., Cardoza, K. P., Henderson, L. E. & Feldman, J. L. Role of parafacial nuclei in control of breathing in adult rats. J. Neurosci. 35, 1052–1067 (2015).
Article CAS PubMed PubMed Central Google Scholar
Barna, B. F., Takakura, A. C. & Moreira, T. S. Pontomedullary and hypothalamic distribution of Fos-like immunoreactive neurons after acute exercise in rats. Neuroscience 212, 120–130 (2012).
Article CAS PubMed Google Scholar
Korsak, A., Sheikhbahaei, S., Machhada, A., Gourine, A. V. & Huckstepp, R. T. R. The role of parafacial neurons in the control of breathing during exercise. Sci. Rep. 8, 400 (2018).
Article ADS PubMed PubMed Central Google Scholar
Vong, L. et al. Leptin action on GABAergic neurons prevents obesity and reduces inhibitory tone to POMC neurons. Neuron 71, 142–154 (2011).
Article CAS PubMed PubMed Central Google Scholar
Stornetta, R. L. et al. A group of glutamatergic interneurons expressing high levels of both neurokinin-1 receptors and somatostatin identifies the region of the pre-Botzinger complex. J. Comp. Neurol. 455, 499–512 (2003).
Article CAS PubMed Google Scholar
Kim, E. J., Jacobs, M. W., Ito-Cole, T. & Callaway, E. M. Improved monosynaptic neural circuit tracing using engineered rabies virus glycoproteins. Cell Rep. 15, 692–699 (2016).
Bouvier, J. et al. Hindbrain interneurons and axon guidance signaling critical for breathing. Nat. Neurosci. 13, 1066–1074 (2010).
Article CAS PubMed Google Scholar
Koshiya, N. & Smith, J. C. Neuronal pacemaker for breathing visualized in vitro. Nature 400, 360–363 (1999).
Article ADS CAS PubMed Google Scholar
Neve, R. L., Neve, K. A., Nestler, E. J. & Carlezon, W. A. Jr. Use of herpes virus amplicon vectors to study brain disorders. Biotechniques 39, 381–391 (2005).
Article CAS PubMed Google Scholar
Usseglio, G., Gatier, E., Heuze, A., Herent, C. & Bouvier, J. Control of orienting movements and locomotion by projection-defined subsets of brainstem V2a neurons. Curr. Biol. 30, 4665.e6–4681.e6 (2020).
Article Google Scholar
Cui, Y. et al. Defining preBotzinger complex rhythm- and pattern-generating neural microcircuits in vivo. Neuron 91, 602–614 (2016).
Article CAS PubMed PubMed Central Google Scholar
Baertsch, N. A., Baertsch, H. C. & Ramirez, J. M. The interdependence of excitation and inhibition for the control of dynamic breathing rhythms. Nat. Commun. 9, 843 (2018).
Article ADS PubMed PubMed Central Google Scholar
Stujenske, J. M., Spellman, T. & Gordon, J. A. Modeling the spatiotemporal dynamics of light and heat propagation for in vivo optogenetics. Cell Rep. 12, 525–534 (2015).
Article CAS PubMed PubMed Central Google Scholar
Mathis, A. et al. DeepLabCut: markerless pose estimation of user-defined body parts with deep learning. Nat. Neurosci. 21, 1281–1289 (2018).
Article CAS PubMed Google Scholar
Ferreira-Pinto, M. J. et al. Functional diversity for body actions in the mesencephalic locomotor region. Cell 184, 4564.e18–4578.e18 (2021).
Tovote, P. et al. Midbrain circuits for defensive behaviour. Nature 534, 206–212 (2016).
Article ADS CAS PubMed Google Scholar
Sahibzada, N., Dean, P. & Redgrave, P. Movements resembling orientation or avoidance elicited by electrical stimulation of the superior colliculus in rats. J. Neurosci. 6, 723–733 (1986).
Article CAS PubMed PubMed Central Google Scholar
Masullo, L. et al. Genetically defined functional modules for spatial orienting in the mouse superior colliculus. Curr. Biol. 29, 2892.e8–2904.e8 (2019).
Article Google Scholar
Hagglund, M., Borgius, L., Dougherty, K. J. & Kiehn, O. Activation of groups of excitatory neurons in the mammalian spinal cord or hindbrain evokes locomotion. Nat. Neurosci. 13, 246–253 (2010).
Article PubMed Google Scholar
Talpalar, A. E. et al. Dual-mode operation of neuronal networks involved in left-right alternation. Nature 500, 85–88 (2013).
Kjaerulff, O. & Kiehn, O. Distribution of networks generating and coordinating locomotor activity in the neonatal rat spinal cord in vitro: a lesion study. J. Neurosci. 16, 5777–5794 (1996).
Article CAS PubMed PubMed Central Google Scholar
Inoue, S. et al. Periodic remodeling in a neural circuit governs timing of female sexual behavior. Cell 179, 1393.e6–1408.e6 (2019).
Article Google Scholar
Zingg, B. et al. AAV-mediated anterograde transsynaptic tagging: mapping corticocollicular input-defined neural pathways for defense behaviors. Neuron 93, 33–47 (2017).
Article CAS PubMed Google Scholar
Janczewski, W. A. & Feldman, J. L. Distinct rhythm generators for inspiration and expiration in the juvenile rat. J. Physiol. 570, 407–420 (2006).
Article CAS PubMed Google Scholar
Ramanantsoa, N. et al. Breathing without CO(2) chemosensitivity in conditional Phox2b mutants. J. Neurosci. 31, 12880–12888 (2011).
Article CAS PubMed PubMed Central Google Scholar
Ruffault, P. L. et al. The retrotrapezoid nucleus neurons expressing Atoh1 and Phox2b are essential for the respiratory response to CO(2). eLife 4, e07051 (2015).
Jensen, V. N., Seedle, K., Turner, S. M., Lorenz, J. N. & Crone, S. A. V2a neurons constrain extradiaphragmatic respiratory muscle activity at rest. eNeuro 6, ENEURO.0492-18.2019 (2019).
Li, P. et al. The peptidergic control circuit for sighing. Nature 530, 293–297 (2016).
Smith, J. C., Morrison, D. E., Ellenberger, H. H., Otto, M. R. & Feldman, J. L. Brainstem projections to the major respiratory neuron populations in the medulla of the cat. J. Comp. Neurol. 281, 69–96 (1989).
Article CAS PubMed Google Scholar
Lefler, Y., Campagner, D. & Branco, T. The role of the periaqueductal gray in escape behavior. Curr. Opin. Neurobiol. 60, 115–121 (2020).
Article CAS PubMed Google Scholar
Jordan, L. M., Liu, J., Hedlund, P. B., Akay, T. & Pearson, K. G. Descending command systems for the initiation of locomotion in mammals. Brain Res. Rev. 57, 183–191 (2008).
Article CAS PubMed Google Scholar
Ryczko, D. & Dubuc, R. The multifunctional mesencephalic locomotor region. Curr. Pharm. Des. 19, 4448–4470 (2013).
Article CAS PubMed Google Scholar
Korte, S. M., Jaarsma, D., Luiten, P. G. & Bohus, B. Mesencephalic cuneiform nucleus and its ascending and descending projections serve stress-related cardiovascular responses in the rat. J. Auton. Nerv. Syst. 41, 157–176 (1992).
Article CAS PubMed Google Scholar
Guyenet, P. G. et al. C1 neurons: the body’s EMTs. Am. J. Physiol. 305, R187–R204 (2013).
CAS Google Scholar
Kanbar, R., Stornetta, R. L. & Guyenet, P. G. Sciatic nerve stimulation activates the retrotrapezoid nucleus in anesthetized rats. J. Neurophysiol. 116, 2081–2092 (2016).
Article CAS PubMed PubMed Central Google Scholar
Dougherty, K. J. & Ha, N. T. The rhythm section: an update on spinal interneurons setting the beat for mammalian locomotion. Curr. Opin. Physiol. 8, 84–93 (2019).
Article PubMed PubMed Central Google Scholar
Madisen, L. et al. A toolbox of Cre-dependent optogenetic transgenic mice for light-induced activation and silencing. Nat. Neurosci. 15, 793–802 (2012).
Article CAS PubMed PubMed Central Google Scholar
Voiculescu, O., Charnay, P. & Schneider-Maunoury, S. Expression pattern of a Krox-20/Cre knock-in allele in the developing hindbrain, bones, and peripheral nervous system. Genesis 26, 123–126 (2000).
Article CAS PubMed Google Scholar
Mattis, J. et al. Principles for applying optogenetic tools derived from direct comparative analysis of microbial opsins. Nat. Methods 9, 159–172 (2011).
Article ADS PubMed PubMed Central Google Scholar
Bouvier, J. et al. Descending command neurons in the brainstem that halt locomotion. Cell 163, 1191–1203 (2015).
Article CAS PubMed PubMed Central Google Scholar
Harrison, M. et al. Vertebral landmarks for the identification of spinal cord segments in the mouse. Neuroimage 68, 22–29 (2013).
Article PubMed Google Scholar
Guyenet, P. G. & Mulkey, D. K. Retrotrapezoid nucleus and parafacial respiratory group. Respir. Physiol. Neurobiol. 114, 1792–1805 (2010).
Skarlatou, S. et al. Afadin signaling at the spinal neuroepithelium regulates central canal formation and gait selection. Cell Rep. 31, 107741 (2020).
Article CAS PubMed Google Scholar

Download references

Acknowledgements

This work was funded by Agence Nationale de la Recherche (ANR-17-CE16-0027 and ANR-20-CE16-0026 to J.B. and ANR-15-CE16-013-02 to G.F.) and CNRS, Université Paris-Saclay and NeuroPSI. C.H. held a doctoral fellowship from Région Ile-de-France. C.H. and G.U. held a fellowship extension from Fondation pour la Recherche Médicale (contract FDT201904007982 to C.H. and FDT202106013165 to G.U.). We thank Aurélie Heuzé for lab management and genotyping animals, Edwin Gatier for help with DeepLabCut and analysis, Jean-François Brunet for providing the Atoh1^FRTCre; Phox2b^Flpo animals, and the NeuroPSI animal facility for housing animals. Mice and central nervous system schematics were edited from https://www.scidraw.io.

Author information

Coralie Hérent
Present address: Champalimaud Research, Champalimaud Foundation, 1400-038, Lisbon, Portugal
Séverine Diem
Present address: Institute of Functional Genomics, University of Montpellier, CNRS, INSERM, 34094, Montpellier, France

Authors and Affiliations

Université Paris-Saclay, CNRS, Institut des Neurosciences Paris-Saclay, 91400, Saclay, France
Coralie Hérent, Séverine Diem, Giovanni Usseglio & Julien Bouvier
Institut de Biologie de l’École Normale Supérieure (IBENS), École Normale Supérieure, CNRS, INSERM, PSL Research University, 75005, Paris, France
Gilles Fortin

Authors

Coralie Hérent
View author publications
You can also search for this author in PubMed Google Scholar
Séverine Diem
View author publications
You can also search for this author in PubMed Google Scholar
Giovanni Usseglio
View author publications
You can also search for this author in PubMed Google Scholar
Gilles Fortin
View author publications
You can also search for this author in PubMed Google Scholar
Julien Bouvier
View author publications
You can also search for this author in PubMed Google Scholar

Contributions

J.B., G.F., and C.H. designed the study. J.B. and G.F. provided funding. J.B. supervised the work. C.H. performed and analyzed all experiments with contributions from S.D. and J.B. G.U. contributed to histology experiments for the revision work. C.H. prepared figures with contributions from J.B. J.B. wrote the paper and C.H. and G.F. contributed to its editing.

Corresponding author

Correspondence to Julien Bouvier.

Ethics declarations

Competing interests

The authors declare no competing interests.

Peer review

Peer review information

Nature Communications thanks Alexander Gourine, Silvia Pagliardini, and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Supplementary Information

Reporting Summary

Source data

Source Data

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

Reprints and permissions

About this article

Cite this article

Hérent, C., Diem, S., Usseglio, G. et al. Upregulation of breathing rate during running exercise by central locomotor circuits in mice. Nat Commun 14, 2939 (2023). https://doi.org/10.1038/s41467-023-38583-6

Download citation

Received: 05 August 2021
Accepted: 02 May 2023
Published: 22 May 2023
DOI: https://doi.org/10.1038/s41467-023-38583-6

Comments

By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.