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Kalai, J.

Publications and source records attributed to Kalai, J..

2 recordsLinked to original sources

Rewiring an olfactory circuit by altering the combinatorial code of cell-surface proteins

Proper brain function requires the precise assembly of neural circuits during development. Despite the identification of many cell-surface proteins (CSPs) that help guide axons to their targets1,2, it remains largely unknown how multiple CSPs work together to assemble a functional circuit. Here, we used synaptic partner matching in the Drosophila olfactory circuit3,4 to address this question. By systematically altering the combination of differentially expressed CSPs in a single olfactory receptor neuron (ORN) type, which senses a male pheromone that inhibits male-male courtship, we switched its connection from its endogenous postsynaptic projection neuron (PN) type nearly completely to a new PN type that promotes courtship. From this switch, we deduced a combinatorial code including CSPs that mediate both attraction between synaptic partners and repulsion between non-partners5,6. The anatomical switch changed the odor response of the new PN partner and markedly increased male-male courtship. We generalized three manipulation strategies from this rewiring-- increasing repulsion with the old partner, decreasing repulsion with the new partner, and matching attraction with the new partner--to successfully rewire a second ORN type to multiple distinct PN types. This work demonstrates that manipulating a small set of CSPs is sufficient to respecify synaptic connections, paving ways to explore how neural systems evolve through changes of circuit connectivity.

neuroscience↗

Dendrite architecture determines mitochondrial distribution patterns in vivo

Mitochondria are critical for neuronal function and must be reliably distributed through complex neuronal architectures. By quantifying in vivo mitochondrial transport and localization patterns in the dendrites of Drosophila visual system neurons, we show that mitochondria make up a dynamic system at steady-state, with significant transport of individual mitochondria within a stable global pattern. Mitochondrial motility patterns are unaffected by visual input, suggesting that neuronal activity does not directly regulate mitochondrial localization in vivo. Instead, we present a mathematical model in which four simple scaling rules enable the robust self-organization of the mitochondrial population. Experimental measurements of dendrite morphology validate key model predictions: to maintain equitable distribution of mitochondria across asymmetrically branched subtrees, dendritic branch points obey a parent-daughter power law that preserves cross-sectional area, and thicker trunks support proportionally bushier subtrees. Altogether, we propose that "housekeeping" requirements, including the need to maintain steady-state mitochondrial distributions, impose constraints on neuronal architecture.

cell biology↗