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Hiesinger, P. R.

Publications and source records attributed to Hiesinger, P. R..

3 recordsLinked to original sources

Neurodegeneration caused by LRRK2-G2019S requires Rab10 in select dopaminergic neurons

Inherited mutations in the LRRK2 protein are the commonest known cause of Parkinsons, but the molecular link from increased kinase activity to pathological neurodegeneration remains to be determined. In vitro (biochemical and cell culture) assays led to the hypothesis that several Rab GTPases might be LRRK2 substrates. Here we show that Rab10 potently modifies LRRK2-G2019S mediated electrophysiological responses in an in vivo screen, in which each Rab was overexpressed in Drosophila dopaminergic neurons. We therefore tested the effect of Rab10 loss of function on three LRRK2-G2019S phenotypes (vision, movement and sleep) that rely on dopaminergic circuits in both flies and mammals. The knock-out of Rab10 in vivo fully rescues the reduced responses induced by dopaminergic LRRK2-G2019S in visual and motor (reaching, proboscis extension) assays, but the sleep phenotype is unaffected. We show that Rab10 is expressed in dopaminergic (tyrosine hydroxylase positive) neurons controlling vision and proboscis movement, but undetectable in those controlling sleep, indicating that anatomical and physiological patterns of Rab10 are related. Our results support the idea that LRRK2 phosphorylates separate targets in distinct neurons and confirm that one degenerative pathway starts with Rab10. Although Rab3 is another putative substrate of LRRK2, it shows no synergy with G2019S and localises to a different subset of dopaminergic neurons from Rab10. We propose that variations in Rab expression may contribute to differences in the rate of neurodegeneration seen in different dopaminergic nuclei in Parkinsons.\n\nSignificance StatementA key question in Parkinsons is why dopamine neurons die particularly fast in some parts of the substantia nigra. We focused on the commonest Parkinsons-related mutation, LRRK2-G2019S. In vitro assays suggested that neurodegeneration may start by LRRK2-G2019S increasing phosphorylation of Rab10. We found Rab10 in fly dopamine neurons in visual and motor pathways, but not in the sleep system. Rab10 knock-out rescues G2019S-induced visual and movement degeneration, leaving sleep dysfunction unaffected. Thus, LRRK2 activates at least two pathways, one Rab10-dependent, leading to neurodegeneration in vivo. Rab3 is found in a different subset of dopaminergic neurons and shows no synergy with LRRK2-G2019S. We propose that variations in Rab expression contribute to differences in neurodegeneration seen in Parkinsons.

neuroscience

A neurodevelopmental origin of behavioral individuality

The genome versus experience, or "Nature versus Nurture", debate has dominated our understanding of individual behavioral variation. A third factor, namely variation in complex behavior potentially due to non-heritable "developmental noise" in brain development, has been largely ignored. Using the Drosophila vinegar fly we demonstrate a causal link between variation in brain wiring due to developmental noise, and behavioral individuality. A population of visual system neurons called DCNs shows non-heritable, inter-individual variation in right/left wiring asymmetry, and control object orientation in freely walking flies. We show that DCN wiring asymmetry predicts an individuals object responses: the greater the asymmetry, the better the individual orients. Silencing DCNs abolishes correlations between anatomy and behavior, while inducing visual asymmetry via monocular deprivation "rescues" object orientation in DCN-symmetric individuals. One Sentence SummaryNon-heritable individual variation in neural circuit development underlies individual variability in behavior.

neuroscience

Serial synapse formation through filopodial competition for synaptic seeding factors

Following axon pathfinding, growth cones transition from stochastic filopodial exploration to the formation of a limited number of synapses. How the interplay of filopodia and synapse assembly ensures robust connectivity in the brain has remained a challenging problem. Here, we developed a new 4D analysis method for filopodial dynamics and a data-driven computational model of synapse formation for R7 photoreceptor axons in developing Drosophila brains. Our live data support a serial synapse formation model, where at any time point only a single synaptogenic filopodium suppresses the synaptic competence of other filopodia through competition for synaptic seeding factors. Loss of the synaptic seeding factors Syd-1 and Liprin- leads to a loss of this suppression, filopodial destabilization and reduced synapse formation, which is sufficient to cause the destabilization of entire axon terminals. Our model provides a filopodial winner-takes-all mechanism that ensures the formation of an appropriate number of synapses.

neuroscience