The DEG/ENaC cation channel protein UNC-8 drives activity-dependent synapse removal in remodeling GABAergic neurons

  1. Tyne W Miller-Fleming
  2. Sarah C Petersen
  3. Laura Manning
  4. Cristina Matthewman
  5. Megan Gornet
  6. Allison Beers
  7. Sayaka Hori
  8. Shohei Mitani
  9. Laura Bianchi
  10. Janet Richmond
  11. David M Miller III  Is a corresponding author
  1. Vanderbilt University, United States
  2. Kenyon College, United States
  3. University of Illinois at Chicago, United States
  4. University of Miami, United States
  5. Tokyo Women's Medical University, Japan

Abstract

Genetic programming and neural activity drive synaptic remodeling in developing neural circuits, but the molecular components that link these pathways are poorly understood. Here we show that the C. elegans Degenerin/Epithelial Sodium Channel (DEG/ENaC) protein, UNC-8, is transcriptionally controlled to function as a trigger in an activity-dependent mechanism that removes synapses in remodeling GABAergic neurons. UNC-8 cation channel activity promotes disassembly of presynaptic domains in DD type GABA neurons, but not in VD class GABA neurons where unc-8 expression is blocked by the COUP/TF transcription factor, UNC-55. We propose that the depolarizing effect of UNC-8-dependent sodium import elevates intracellular calcium in a positive feedback loop involving the voltage-gated calcium channel UNC-2 and the calcium-activated phosphatase TAX-6/calcineurin to initiate a caspase-dependent mechanism that disassembles the presynaptic apparatus. Thus, UNC-8 serves as a link between genetic and activity-dependent pathways that function together to promote the elimination of GABA synapses in remodeling neurons.

Article and author information

Author details

  1. Tyne W Miller-Fleming

    Neuroscience Program, Vanderbilt University, Nashville, United States
    Competing interests
    The authors declare that no competing interests exist.
  2. Sarah C Petersen

    Department of Neuroscien, Kenyon College, Gambier, United States
    Competing interests
    The authors declare that no competing interests exist.
  3. Laura Manning

    Department of Biological Sciences, University of Illinois at Chicago, Chicago, United States
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-1597-0600
  4. Cristina Matthewman

    Department of Physiology and Biophysics, University of Miami, Miami, United States
    Competing interests
    The authors declare that no competing interests exist.
  5. Megan Gornet

    Department of Cell and Developmental Biology, Vanderbilt University, Nashville, United States
    Competing interests
    The authors declare that no competing interests exist.
  6. Allison Beers

    Department of Cell and Developmental Biology, Vanderbilt University, Nashville, United States
    Competing interests
    The authors declare that no competing interests exist.
  7. Sayaka Hori

    Department of Physiology, Tokyo Women's Medical University, Tokyo, Japan
    Competing interests
    The authors declare that no competing interests exist.
  8. Shohei Mitani

    Department of Physiology, Tokyo Women's Medical University, Tokyo, Japan
    Competing interests
    The authors declare that no competing interests exist.
  9. Laura Bianchi

    Department of Physiology and Biophysics, University of Miami, Miami, United States
    Competing interests
    The authors declare that no competing interests exist.
  10. Janet Richmond

    Department of Biological Sciences, University of Illinois at Chicago, Chicago, United States
    Competing interests
    The authors declare that no competing interests exist.
  11. David M Miller III

    Neuroscience Program, Vanderbilt University, Nashville, United States
    For correspondence
    david.miller@vanderbilt.edu
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-9048-873X

Reviewing Editor

  1. Kang Shen, Howard Hughes Medical Institute, Stanford University, United States

Version history

  1. Received: January 21, 2016
  2. Accepted: July 11, 2016
  3. Accepted Manuscript published: July 12, 2016 (version 1)
  4. Version of Record published: August 10, 2016 (version 2)
  5. Version of Record updated: August 4, 2017 (version 3)

Copyright

© 2016, Miller-Fleming et al.

This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.

Metrics

  • 3,201
    views
  • 566
    downloads
  • 29
    citations

Views, downloads and citations are aggregated across all versions of this paper published by eLife.

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  1. Tyne W Miller-Fleming
  2. Sarah C Petersen
  3. Laura Manning
  4. Cristina Matthewman
  5. Megan Gornet
  6. Allison Beers
  7. Sayaka Hori
  8. Shohei Mitani
  9. Laura Bianchi
  10. Janet Richmond
  11. David M Miller III
(2016)
The DEG/ENaC cation channel protein UNC-8 drives activity-dependent synapse removal in remodeling GABAergic neurons
eLife 5:e14599.
https://doi.org/10.7554/eLife.14599

Share this article

https://doi.org/10.7554/eLife.14599

Further reading

    1. Neuroscience
    Kenta Abe, Yuki Kambe ... Tatsuo Sato
    Research Article

    Midbrain dopamine neurons impact neural processing in the prefrontal cortex (PFC) through mesocortical projections. However, the signals conveyed by dopamine projections to the PFC remain unclear, particularly at the single-axon level. Here, we investigated dopaminergic axonal activity in the medial PFC (mPFC) during reward and aversive processing. By optimizing microprism-mediated two-photon calcium imaging of dopamine axon terminals, we found diverse activity in dopamine axons responsive to both reward and aversive stimuli. Some axons exhibited a preference for reward, while others favored aversive stimuli, and there was a strong bias for the latter at the population level. Long-term longitudinal imaging revealed that the preference was maintained in reward- and aversive-preferring axons throughout classical conditioning in which rewarding and aversive stimuli were paired with preceding auditory cues. However, as mice learned to discriminate reward or aversive cues, a cue activity preference gradually developed only in aversive-preferring axons. We inferred the trial-by-trial cue discrimination based on machine learning using anticipatory licking or facial expressions, and found that successful discrimination was accompanied by sharper selectivity for the aversive cue in aversive-preferring axons. Our findings indicate that a group of mesocortical dopamine axons encodes aversive-related signals, which are modulated by both classical conditioning across days and trial-by-trial discrimination within a day.

    1. Neuroscience
    Baiwei Liu, Zampeta-Sofia Alexopoulou, Freek van Ede
    Research Article

    Working memory enables us to bridge past sensory information to upcoming future behaviour. Accordingly, by its very nature, working memory is concerned with two components: the past and the future. Yet, in conventional laboratory tasks, these two components are often conflated, such as when sensory information in working memory is encoded and tested at the same location. We developed a task in which we dissociated the past (encoded location) and future (to-be-tested location) attributes of visual contents in working memory. This enabled us to independently track the utilisation of past and future memory attributes through gaze, as observed during mnemonic selection. Our results reveal the joint consideration of past and future locations. This was prevalent even at the single-trial level of individual saccades that were jointly biased to the past and future. This uncovers the rich nature of working memory representations, whereby both past and future memory attributes are retained and can be accessed together when memory contents become relevant for behaviour.