Literature DB >> 27593375

High-Probability Neurotransmitter Release Sites Represent an Energy-Efficient Design.

Zhongmin Lu1, Amit K Chouhan2, Jolanta A Borycz3, Zhiyuan Lu3, Adam J Rossano4, Keith L Brain5, You Zhou6, Ian A Meinertzhagen3, Gregory T Macleod7.   

Abstract

Nerve terminals contain multiple sites specialized for the release of neurotransmitters. Release usually occurs with low probability, a design thought to confer many advantages. High-probability release sites are not uncommon, but their advantages are not well understood. Here, we test the hypothesis that high-probability release sites represent an energy-efficient design. We examined release site probabilities and energy efficiency at the terminals of two glutamatergic motor neurons synapsing on the same muscle fiber in Drosophila larvae. Through electrophysiological and ultrastructural measurements, we calculated release site probabilities to differ considerably between terminals (0.33 versus 0.11). We estimated the energy required to release and recycle glutamate from the same measurements. The energy required to remove calcium and sodium ions subsequent to nerve excitation was estimated through microfluorimetric and morphological measurements. We calculated energy efficiency as the number of glutamate molecules released per ATP molecule hydrolyzed, and high-probability release site terminals were found to be more efficient (0.13 versus 0.06). Our analytical model indicates that energy efficiency is optimal (∼0.15) at high release site probabilities (∼0.76). As limitations in energy supply constrain neural function, high-probability release sites might ameliorate such constraints by demanding less energy. Energy efficiency can be viewed as one aspect of nerve terminal function, in balance with others, because high-efficiency terminals depress significantly during episodic bursts of activity.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  active zones; energy efficiency; evolutionary biology; neurotransmitter release; presynaptic; probability

Mesh:

Substances:

Year:  2016        PMID: 27593375      PMCID: PMC5253075          DOI: 10.1016/j.cub.2016.07.032

Source DB:  PubMed          Journal:  Curr Biol        ISSN: 0960-9822            Impact factor:   10.834


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