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Neural Development
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Gamma motor neurons express distinct genetic markers at birth and require muscle spindle-derived GDNF for postnatal survival

Authors: Shneider, Neil A.; Brown, Meghan N.; Smith, Courtney A.; Pickel, James; Alvarez, Francisco J.;

Gamma motor neurons express distinct genetic markers at birth and require muscle spindle-derived GDNF for postnatal survival

Abstract

Abstract Background Gamma motor neurons (γ-MNs) selectively innervate muscle spindle intrafusal fibers and regulate their sensitivity to stretch. They constitute a distinct subpopulation that differs in morphology, physiology and connectivity from α-MNs, which innervate extrafusal muscle fibers and exert force. The mechanisms that control the differentiation of functionally distinct fusimotor neurons are unknown. Progress on this question has been limited by the absence of molecular markers to specifically distinguish and manipulate γ-MNs. Recently, it was reported that early embryonic γ-MN precursors are dependent on GDNF. Using this knowledge we characterized genetic strategies to label developing γ-MNs based on GDNF receptor expression, showed their strict dependence for survival on muscle spindle-derived GDNF and generated an animal model in which γ-MNs are selectively lost. Results In mice heterozygous for both the Hb9::GFP transgene and a tau-lacZ-labeled (TLZ) allele of the GDNF receptor Gfrα1, we demonstrated that small motor neurons with high Gfrα1-TLZ expression and lacking Hb9::GFP display structural and synaptic features of γ-MNs and are selectively lost in mutants lacking target muscle spindles. Loss of muscle spindles also results in the downregulation of Gfrα1 expression in some large diameter MNs, suggesting that spindle-derived factors may also influence populations of α-MNs with β-skeletofusimotor collaterals. These molecular markers can be used to identify γ-MNs from birth to the adult and to distinguish γ- from β-motor axons in the periphery. We also found that postnatal γ-MNs are also distinguished by low expression of the neuronal nuclear protein (NeuN). With these markers of γ-MN identity, we show after conditional elimination of GDNF from muscle spindles that the survival of γ-MNs is selectively dependent on spindle-derived GDNF during the first 2 weeks of postnatal development. Conclusion Neonatal γ-MNs display a unique molecular profile characterized by the differential expression of a series of markers - Gfrα1, Hb9::GFP and NeuN - and the selective dependence on muscle spindle-derived GDNF. Deletion of GDNF expression from muscle spindles results in the selective elimination of γ-MNs with preservation of the spindle and its sensory innervation. This provides a mouse model with which to explore the specific role of γ-fusimotor activity in motor behaviors.

Keywords

570, Medical Sciences, Glial Cell Line-Derived Neurotrophic Factor Receptors, Motor Neurons, Gamma, Cell Survival, Vesicular Acetylcholine Transport Proteins, Medical Physiology, Mice, Transgenic, Nerve Tissue Proteins, Choline O-Acetyltransferase, Mice, Developmental Neuroscience, Research article, Medicine and Health Sciences, Cell Biology & Physiology, Animals, Glial Cell Line-Derived Neurotrophic Factor, RC346-429, Muscle Spindles, Motor Neurons, FOS: Clinical medicine, Neurosciences, Nuclear Proteins, Dendrites, Axons, Medical Cell Biology, DNA-Binding Proteins, Animals, Newborn, Spinal Cord, Medical Neurobiology, Synapses, Vesicular Glutamate Transport Protein 1, Neurology. Diseases of the nervous system, Physiological Processes, Neuroscience

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
109
Top 1%
Top 10%
Top 10%
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