The GTPase Rab26 links synaptic vesicles to the autophagy pathway

  1. Beyenech Binotti
  2. Nathan J Pavlos
  3. Dietmar Riedel
  4. Dirk Wenzel
  5. Gerd Vorbrüggen
  6. Amanda M Schalk
  7. Karin Kühnel
  8. Janina Boyken
  9. Christian Erck
  10. Henrik Martens
  11. John J E Chua
  12. Reinhard Jahn  Is a corresponding author
  1. Max Planck Institute for Biophysical Chemistry, Germany
  2. University of Western Australia, Australia
  3. University of Illinois at Chicago, United States
  4. Bayer Pharma Aktiengesellschaft, Germany
  5. Synaptic Systems GmbH, Germany

Abstract

Small GTPases of the Rab family not only regulate target recognition in membrane traffic but also control other cellular functions such as cytoskeletal transport and autophagy. Here we show that Rab26 is specifically associated with clusters of synaptic vesicles in neurites. Overexpression of active but not of GDP-preferring Rab26 enhances vesicle clustering, which is particularly conspicuous for the EGFP-tagged variant, resulting in a massive accumulation of synaptic vesicles in neuronal somata without altering the distribution of other organelles. Both endogenous and induced clusters co-localize with autophagy-related proteins such as Atg16L1, LC3B and Rab33B but not with other organelles. Furthermore, Atg16L1 appears to be a direct effector of Rab26 and binds Rab26 in its GTP-bound form, albeit only with low affinity. We propose that Rab26 selectively directs synaptic and secretory vesicles into preautophagosomal structures, suggesting the presence of a novel pathway for degradation of synaptic vesicles.

Article and author information

Author details

  1. Beyenech Binotti

    Department of Neurobiology, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany
    Competing interests
    No competing interests declared.
  2. Nathan J Pavlos

    School Of Surgery, University of Western Australia, Crawley, Australia
    Competing interests
    No competing interests declared.
  3. Dietmar Riedel

    Facility for Transmission Electron Microscopy, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany
    Competing interests
    No competing interests declared.
  4. Dirk Wenzel

    Facility for Transmission Electron Microscopy, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany
    Competing interests
    No competing interests declared.
  5. Gerd Vorbrüggen

    Research Group Molecular Cell Dynamics, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany
    Competing interests
    No competing interests declared.
  6. Amanda M Schalk

    Department of Biochemistry and Molecular Genetics, University of Illinois at Chicago, Ashland, United States
    Competing interests
    No competing interests declared.
  7. Karin Kühnel

    Department of Neurobiology, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany
    Competing interests
    No competing interests declared.
  8. Janina Boyken

    Gynecological Therapies, Bayer Pharma Aktiengesellschaft, Berlin, Germany
    Competing interests
    No competing interests declared.
  9. Christian Erck

    Synaptic Systems GmbH, Göttingen, Germany
    Competing interests
    No competing interests declared.
  10. Henrik Martens

    Synaptic Systems GmbH, Göttingen, Germany
    Competing interests
    No competing interests declared.
  11. John J E Chua

    Department of Neurobiology, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany
    Competing interests
    No competing interests declared.
  12. Reinhard Jahn

    Department of Neurobiology, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany
    For correspondence
    rjahn@gwdg.de
    Competing interests
    Reinhard Jahn, Reviewing editor, eLife.

Reviewing Editor

  1. Christian Rosenmund, Charité-Universitätsmedizin Berlin, Germany

Version history

  1. Received: November 13, 2014
  2. Accepted: February 1, 2015
  3. Accepted Manuscript published: February 2, 2015 (version 1)
  4. Version of Record published: February 16, 2015 (version 2)

Copyright

© 2015, Binotti 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

  • 4,630
    views
  • 936
    downloads
  • 132
    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. Beyenech Binotti
  2. Nathan J Pavlos
  3. Dietmar Riedel
  4. Dirk Wenzel
  5. Gerd Vorbrüggen
  6. Amanda M Schalk
  7. Karin Kühnel
  8. Janina Boyken
  9. Christian Erck
  10. Henrik Martens
  11. John J E Chua
  12. Reinhard Jahn
(2015)
The GTPase Rab26 links synaptic vesicles to the autophagy pathway
eLife 4:e05597.
https://doi.org/10.7554/eLife.05597

Share this article

https://doi.org/10.7554/eLife.05597

Further reading

    1. Neuroscience
    Mohsen Sadeghi, Reza Sharif Razavian ... Dagmar Sternad
    Research Article

    Natural behaviors have redundancy, which implies that humans and animals can achieve their goals with different strategies. Given only observations of behavior, is it possible to infer the control objective that the subject is employing? This challenge is particularly acute in animal behavior because we cannot ask or instruct the subject to use a particular strategy. This study presents a three-pronged approach to infer an animal’s control objective from behavior. First, both humans and monkeys performed a virtual balancing task for which different control strategies could be utilized. Under matched experimental conditions, corresponding behaviors were observed in humans and monkeys. Second, a generative model was developed that represented two main control objectives to achieve the task goal. Model simulations were used to identify aspects of behavior that could distinguish which control objective was being used. Third, these behavioral signatures allowed us to infer the control objective used by human subjects who had been instructed to use one control objective or the other. Based on this validation, we could then infer objectives from animal subjects. Being able to positively identify a subject’s control objective from observed behavior can provide a powerful tool to neurophysiologists as they seek the neural mechanisms of sensorimotor coordination.

    1. Neuroscience
    Yiyi Chen, Laimdota Zizmare ... Christoph Trautwein
    Research Article

    The retina consumes massive amounts of energy, yet its metabolism and substrate exploitation remain poorly understood. Here, we used a murine explant model to manipulate retinal energy metabolism under entirely controlled conditions and utilised 1H-NMR spectroscopy-based metabolomics, in situ enzyme detection, and cell viability readouts to uncover the pathways of retinal energy production. Our experimental manipulations resulted in varying degrees of photoreceptor degeneration, while the inner retina and retinal pigment epithelium were essentially unaffected. This selective vulnerability of photoreceptors suggested very specific adaptations in their energy metabolism. Rod photoreceptors were found to rely strongly on oxidative phosphorylation, but only mildly on glycolysis. Conversely, cone photoreceptors were dependent on glycolysis but insensitive to electron transport chain decoupling. Importantly, photoreceptors appeared to uncouple glycolytic and Krebs-cycle metabolism via three different pathways: (1) the mini-Krebs-cycle, fuelled by glutamine and branched chain amino acids, generating N-acetylaspartate; (2) the alanine-generating Cahill-cycle; (3) the lactate-releasing Cori-cycle. Moreover, the metabolomics data indicated a shuttling of taurine and hypotaurine between the retinal pigment epithelium and photoreceptors, likely resulting in an additional net transfer of reducing power to photoreceptors. These findings expand our understanding of retinal physiology and pathology and shed new light on neuronal energy homeostasis and the pathogenesis of neurodegenerative diseases.