Cell ReportsNeurosciencePeer-reviewed journal article
Widespread innervation of motoneurons by spinal V3 neurons globally amplifies locomotor output in mice.
Han ZhangiD, Dylan Deska‐GauthieriD, Colin MackayiD, Krishnapriya HariiD, Ana M. Lucas‐Osma, Joanna Borowska-FieldingiD, Reese L. Letawsky, Vladimir RančićiD, Turgay AkayiD, Keith K. FenrichiD, David J. BennettiD, Ying ZhangiD
Abstract
While considerable progress has been made in understanding the neuronal circuits that underlie the patterning of locomotor behaviours such as walking, less is known about the circuits that amplify motoneuron output to enable adaptable increases in muscle force across different locomotor intensities. Here, we demonstrate that an excitatory propriospinal neuron population (V3 neurons, Sim1+) forms a large part of the total excitatory interneuron input to motoneurons ([~]20%) across all hindlimb muscles. Additionally, V3 neurons make extensive connections among themselves and with other excitatory premotor neurons (such as V2a neurons). These circuits allow local activation of V3 neurons at just one segment (via optogenetics) to rapidly depolarize and amplify locomotor-related motoneuron output at all lumbar segments in both the in vitro spinal cord and the awake adult mouse. Interestingly, despite similar innervation from V3 neurons to flexor and extensor motoneuron pools, functionally, V3 neurons exhibit a pronounced bias towards activating extensor muscles. Furthermore, the V3 neurons appear essential to extensor activity during locomotion because genetically silencing them leads to slower and weaker mice with a poor ability to increase force with locomotor intensity, without much change in the timing of locomotion. Overall, V3 neurons increase the excitability of motoneurons and premotor neurons, thereby serving as global command neurons that amplify the locomotion intensity.
- organism: mouse
- assay: electronic health records
- research focus: cell type annotation
- research focus: cell-cell communication
- research focus: differential expression
- research focus: spatial domain detection
- approach: experimental assay
- Citations
- 3
- FWCI
- 1.71
- Field percentile
- top 19%
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