Current Biology
Volume 25, Issue 11, 1 June 2015, Pages 1426-1436
Journal home page for Current Biology

Article
Phenotypic Characterization of Speed-Associated Gait Changes in Mice Reveals Modular Organization of Locomotor Networks

https://doi.org/10.1016/j.cub.2015.04.005Get rights and content
Under an Elsevier user license
open archive

Highlights

  • Mice exhibit four main gaits—walk, trot, gallop, and bound—at different speeds

  • Walk, trot, and bound are the outcomes of three distinct neuronal modules

  • Genetic ablation of V0 neuronal populations disrupts specific gait modules

  • Locomotion in mice is governed by neuronal circuits organized in a modular fashion

Summary

Studies of locomotion in mice suggest that circuits controlling the alternating between left and right limbs may have a modular organization with distinct locomotor circuits being recruited at different speeds. It is not clear, however, whether such a modular organization reflects specific behavioral outcomes expressed at different speeds of locomotion. Here, we use detailed kinematic analyses to search for signatures of a modular organization of locomotor circuits in intact and genetically modified mice moving at different speeds of locomotion. We show that wild-type mice display three distinct gaits: two alternating, walk and trot, and one synchronous, bound. Each gait is expressed in distinct ranges of speed with phenotypic inter-limb and intra-limb coordination. A fourth gait, gallop, closely resembled bound in most of the locomotor parameters but expressed diverse inter-limb coordination. Genetic ablation of commissural V0V neurons completely removed the expression of one alternating gait, trot, but left intact walk, gallop, and bound. Ablation of commissural V0V and V0D neurons led to a loss of walk, trot, and gallop, leaving bound as the default gait. Our study provides a benchmark for studies of the neuronal control of locomotion in the full range of speeds. It provides evidence that gait expression depends upon selection of different modules of neuronal ensembles.

Cited by (0)