Skip to main content
Advertisement
  • Other Publications
    • EMBO Press
    • The EMBO Journal (Home)
    • EMBO reports
    • EMBO Molecular Medicine
    • Molecular Systems Biology
    • Life Science Alliance
Login

   

Search

Advanced Search

Journal

  • Home
  • Latest Online
  • Current Issue
  • Archive
  • Subject Collections
  • Review Series & Focuses

Authors & Referees

  • Submit
  • Author Guidelines
  • Aims & Scope
  • Editors & Board
  • Transparent Process
  • Bibliometrics
  • Referee Guidelines
  • Open Access Charges

Info

  • E-Mail Editorial Office
  • Alerts
  • RSS Feeds
  • Subscriptions & Access
  • Reprints & Permissions
  • Advertise & Sponsor
  • Media Partners
  • News & Press
  • Recommend to Librarian
  • Customer Service
  • Home
  • Latest Online

Transparent Process

Article

The SAC1 domain in synaptojanin is required for autophagosome maturation at presynaptic terminals

Roeland Vanhauwaert, Sabine Kuenen, Roy Masius, Adekunle Bademosi, Julia Manetsberger, Nils Schoovaerts, Laura Bounti, Serguei Gontcharenko, Jef Swerts, Sven Vilain, Marina Picillo, Paolo Barone, Shashini T Munshi, Femke MS de Vrij, Steven A Kushner, Natalia V Gounko, Wim Mandemakers, Vincenzo Bonifati, Frederic A Meunier, View ORCID ProfileSandra‐Fausia Soukup, View ORCID ProfilePatrik Verstreken
DOI 10.15252/embj.201695773 | Published online 22.03.2017
The EMBO Journal (2017) e201695773
Roeland Vanhauwaert
VIB Center for Brain & Disease Research, Leuven, BelgiumDepartment of Human Genetics, Leuven Institute for Neurodegenerative Disease (LIND), KU Leuven, Leuven, Belgium
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Sabine Kuenen
VIB Center for Brain & Disease Research, Leuven, BelgiumDepartment of Human Genetics, Leuven Institute for Neurodegenerative Disease (LIND), KU Leuven, Leuven, Belgium
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Roy Masius
Department of Clinical Genetics, Erasmus MC, Rotterdam, The Netherlands
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Adekunle Bademosi
Clem Jones Centre for Ageing Dementia Research, Queensland Brain Institute, The University of Queensland, Brisbane, Qld, Australia
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Julia Manetsberger
VIB Center for Brain & Disease Research, Leuven, BelgiumDepartment of Human Genetics, Leuven Institute for Neurodegenerative Disease (LIND), KU Leuven, Leuven, Belgium
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Nils Schoovaerts
VIB Center for Brain & Disease Research, Leuven, BelgiumDepartment of Human Genetics, Leuven Institute for Neurodegenerative Disease (LIND), KU Leuven, Leuven, Belgium
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Laura Bounti
VIB Center for Brain & Disease Research, Leuven, BelgiumDepartment of Human Genetics, Leuven Institute for Neurodegenerative Disease (LIND), KU Leuven, Leuven, Belgium
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Serguei Gontcharenko
VIB Center for Brain & Disease Research, Leuven, BelgiumDepartment of Human Genetics, Leuven Institute for Neurodegenerative Disease (LIND), KU Leuven, Leuven, Belgium
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jef Swerts
VIB Center for Brain & Disease Research, Leuven, BelgiumDepartment of Human Genetics, Leuven Institute for Neurodegenerative Disease (LIND), KU Leuven, Leuven, Belgium
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Sven Vilain
VIB Center for Brain & Disease Research, Leuven, BelgiumDepartment of Human Genetics, Leuven Institute for Neurodegenerative Disease (LIND), KU Leuven, Leuven, Belgium
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Marina Picillo
Department of Medicine and Surgery, Center for Neurodegenerative Diseases (CEMAND), University of Salerno, Salerno, Italy
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Paolo Barone
Department of Medicine and Surgery, Center for Neurodegenerative Diseases (CEMAND), University of Salerno, Salerno, Italy
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Shashini T Munshi
Department of Psychiatry, Erasmus MC, Rotterdam, The Netherlands
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Femke MS de Vrij
Department of Psychiatry, Erasmus MC, Rotterdam, The Netherlands
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Steven A Kushner
Department of Psychiatry, Erasmus MC, Rotterdam, The Netherlands
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Natalia V Gounko
VIB Center for Brain & Disease Research, Leuven, BelgiumDepartment of Human Genetics, Leuven Institute for Neurodegenerative Disease (LIND), KU Leuven, Leuven, BelgiumElectron Microscopy Platform, VIB Bio‐Imaging Core, Leuven, Belgium
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Wim Mandemakers
Department of Clinical Genetics, Erasmus MC, Rotterdam, The Netherlands
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Vincenzo Bonifati
Department of Clinical Genetics, Erasmus MC, Rotterdam, The Netherlands
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Frederic A Meunier
Clem Jones Centre for Ageing Dementia Research, Queensland Brain Institute, The University of Queensland, Brisbane, Qld, Australia
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Sandra‐Fausia Soukup
VIB Center for Brain & Disease Research, Leuven, BelgiumDepartment of Human Genetics, Leuven Institute for Neurodegenerative Disease (LIND), KU Leuven, Leuven, Belgium
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Patrik Verstreken
VIB Center for Brain & Disease Research, Leuven, BelgiumDepartment of Human Genetics, Leuven Institute for Neurodegenerative Disease (LIND), KU Leuven, Leuven, Belgium
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site

Author Affiliations

  1. Roeland Vanhauwaert1,2,
  2. Sabine Kuenen1,2,
  3. Roy Masius3,
  4. Adekunle Bademosi4,
  5. Julia Manetsberger1,2,
  6. Nils Schoovaerts1,2,
  7. Laura Bounti1,2,
  8. Serguei Gontcharenko1,2,
  9. Jef Swerts1,2,
  10. Sven Vilain1,2,
  11. Marina Picillo5,
  12. Paolo Barone5,
  13. Shashini T Munshi6,
  14. Femke MS de Vrij6,
  15. Steven A Kushner6,
  16. Natalia V Gounko1,2,7,
  17. Wim Mandemakers3,
  18. Vincenzo Bonifati3,
  19. Frederic A Meunier4,
  20. Sandra‐Fausia Soukup (sandra.soukup{at}cme.vib-kuleuven.be)*,1,2 and
  21. Patrik Verstreken (patrik.verstreken{at}cme.vib-kuleuven.be)*,1,2
  1. 1VIB Center for Brain & Disease Research, Leuven, Belgium
  2. 2Department of Human Genetics, Leuven Institute for Neurodegenerative Disease (LIND), KU Leuven, Leuven, Belgium
  3. 3Department of Clinical Genetics, Erasmus MC, Rotterdam, The Netherlands
  4. 4Clem Jones Centre for Ageing Dementia Research, Queensland Brain Institute, The University of Queensland, Brisbane, Qld, Australia
  5. 5Department of Medicine and Surgery, Center for Neurodegenerative Diseases (CEMAND), University of Salerno, Salerno, Italy
  6. 6Department of Psychiatry, Erasmus MC, Rotterdam, The Netherlands
  7. 7Electron Microscopy Platform, VIB Bio‐Imaging Core, Leuven, Belgium
  1. ↵* Corresponding author. Tel: +32 1637 7035; E‐mail: sandra.soukup{at}cme.vib-kuleuven.be
    Corresponding author. Tel: +32 1633 0018; E‐mail: patrik.verstreken{at}cme.vib-kuleuven.be
View Full Text
  • Article
  • Figures & Data
  • Transparent Process
Loading

Abstract

Presynaptic terminals are metabolically active and accrue damage through continuous vesicle cycling. How synapses locally regulate protein homeostasis is poorly understood. We show that the presynaptic lipid phosphatase synaptojanin is required for macroautophagy, and this role is inhibited by the Parkinson's disease mutation R258Q. Synaptojanin drives synaptic endocytosis by dephosphorylating PI(4,5)P2, but this function appears normal in SynaptojaninRQ knock‐in flies. Instead, R258Q affects the synaptojanin SAC1 domain that dephosphorylates PI(3)P and PI(3,5)P2, two lipids found in autophagosomal membranes. Using advanced imaging, we show that SynaptojaninRQ mutants accumulate the PI(3)P/PI(3,5)P2‐binding protein Atg18a on nascent synaptic autophagosomes, blocking autophagosome maturation at fly synapses and in neurites of human patient induced pluripotent stem cell‐derived neurons. Additionally, we observe neurodegeneration, including dopaminergic neuron loss, in SynaptojaninRQ flies. Thus, synaptojanin is essential for macroautophagy within presynaptic terminals, coupling protein turnover with synaptic vesicle cycling and linking presynaptic‐specific autophagy defects to Parkinson's disease.

Synopsis

Embedded Image

Parkinson's disease‐related human synaptojanin 1 (SYNJ1) or Drosophila synaptojanin (Synj) SAC1 function drives autophagosome biogenesis within synapses by dephosphorylating PI(3)P/PI(3,5)P2, releasing WIPI2/Atg18a from immature autophagosomes, independent from Synj function in endocytosis.

  • Parkinson's disease related synaptojanin RQ SAC1 mutation does not affect synaptic vesicle endocytosis at fly excitatory glutamatergic neurons and photoreceptors.

  • Synaptojanin is required for autophagosome formation in presynaptic terminals, analogous to synaptic vesicle uncoating by synaptojanin.

  • The PI(3)P/PI(3,5)P2‐binding protein, WIPI2/Atg18a accumulates in Synj mutant flies and SYNJ1 R258Q patient‐derived human induced neurons.

  • Synaptojanin regulates Atg18a mobility at autophagosomal membranes.

  • Synaptojanin RQ knock‐in flies show neurodegeneration.

  • correlative light and electron microscopy
  • induced pluripotent stem cells
  • Parkinson's disease
  • single‐molecule tracking
  • synapse

Introduction

Presynaptic terminals are often distantly located from the neuronal cell body, hampering rapid transport of components between these subcellular compartments (Paus et al, 2014). Despite this physical separation, synapses maintain a functional protein pool to support efficient information transfer. They must do so even under conditions of intense synaptic activity that place high metabolic energy demands on this area of the cell. However, the mechanisms that regulate and maintain protein homeostasis at synapses are poorly characterized. Furthermore, impaired synaptic protein homeostasis is implicated in neurodegeneration where combined failure of protein quality control systems and synaptic defects are recurrent themes (Selkoe, 2002; Burke & O'Malley, 2013; Soukup et al, 2013).

Parkinson's disease (PD) is a common neurodegenerative condition characterized by the loss of substantia nigra neurons alongside broader pathology in most patients. While ~90% of PD cases are idiopathic, at least 10% have a family history of disease and several causative genes are identified (Thomas & Beal, 2007; Klein & Westenberger, 2012). While these PD genes encode a functionally diverse set of proteins, there is an emerging theme that several act on synaptic vesicle trafficking (Vanhauwaert & Verstreken, 2015; Lepeta et al, 2016; Schirinzi et al, 2016). However, the nature and degree of synaptic vesicle trafficking impairment that is caused by pathogenic mutations remains unclear.

Synaptojanin 1 (Synj1) is a lipid phosphatase that is essential for synaptic vesicle trafficking (McPherson et al, 1996; Cremona et al, 1999; Harris et al, 2000; Verstreken et al, 2003). It is also mutated in several different families with hereditary early‐onset PD (Krebs et al, 2013; Quadri et al, 2013; Olgiati et al, 2014; Kirola et al, 2016). Synj1 is evolutionarily well conserved and enriched at synapses (Cremona et al, 1999; Harris et al, 2000; Verstreken et al, 2003; Van Epps et al, 2004). The protein has two different lipid phosphatase domains, 5‐phosphatase and SAC1, that target different phosphoinositide phosphate (PtdInsP) species. The 5‐phosphatase domain specifically hydrolyzes phosphates on the 5′ position of the inositol ring and has a preference for PI(4,5)P2 as a substrate (Whisstock et al, 2000; Tsujishita et al, 2001). In contrast, the SAC1 domain hydrolyzes PI(3)P, PI(4)P, and PI(3,5)P2 (Guo et al, 1999; Zhong et al, 2012).

Differently phosphorylated PtdInsP lipids concentrate on different organelles or membrane subdomains. Many proteins recognize particular PtdInsP, and thus are recruited to a specific membrane. This underlies the concept that PtdInsP lipids act as molecular tags that confer membrane identity (Wenk & De Camilli, 2004; Di Paolo & De Camilli, 2006; Ueda, 2014; Lauwers et al, 2016; Marat & Haucke, 2016). For example, patches of PI(4,5)P2 at the synaptic membrane bind clathrin adaptors and other endocytic factors to promote synaptic vesicle formation adjacent to active zones. This PI(4,5)P2‐dependent binding underlies why Synj1 is essential for synaptic vesicle cycling, whereby the 5‐phosphatase domain hydrolysis of PI(4,5)P2 lowers the membrane‐binding affinity of endocytic adaptors and uncoats newly formed vesicles (Cremona et al, 1999; Gad et al, 2000; Verstreken et al, 2003). Other PtdInsPs are critical as well, for example, PI(4)P in Golgi membranes and PI(3)P in endosomes recruit specific proteins to the surface of these organelles. In addition, PI(3)P and PI(3,5)P2 are essential during the formation of autophagosomes where they are recognized by proteins like Atg18a/WIPI2 that promote autophagosome biogenesis (Simonsen & Tooze, 2009; Noda et al, 2010; Dall'Armi et al, 2013; Proikas‐Cezanne et al, 2015).

The PD‐causing mutations (R258Q and the newly identified R459P) reside in the Synj1 SAC1 domain (Krebs et al, 2013; Quadri et al, 2013; Olgiati et al, 2014; Kirola et al, 2016). The R258Q mutation blocks the dephosphorylation of PI(3)P and PI(4)P, while leaving 5‐phosphatase activity against PI(4,5)P2 unaffected (Krebs et al, 2013). This strongly implicates disturbed presynaptic PtdInsP signaling in PD pathogenesis. Although, blocking Synj1 5‐phosphatase activity in mouse neurons causes severe endocytic defects during intense stimulation. When SAC1 enzymatic function is inhibited, synaptic vesicle cycling is only mildly affected (during weak stimulation) (Mani et al, 2007). This suggests the SAC1 and 5‐phosphatase domains have distinct presynaptic functions, but currently little is known about which aspects of presynaptic cell biology are controlled by the Synj1 SAC1 domain.

In this work, we show that the Synj1‐SAC1 domain drives autophagosome biogenesis within synapses independent from and in parallel to the well‐described importance of Synj in endocytosis. We also provide evidence that in both flies and human neurons differentiated from patient‐derived induced pluripotent stem cells (iPSC), the Synj1 SAC1 domain removes the PI(3)P/PI(3,5)P2‐binding protein, WIPI2/Atg18a, from immature autophagosomes. This function appears analogous to how hydrolysis of PI(4,5)P2 by Synj1 uncoats endocytic vesicles. Together with our recent finding that another synapse‐enriched protein, EndophilinA, is essential for synaptic autophagosome biogenesis (Soukup et al, 2016), these data highlight that the presynaptic terminal has unique mechanisms to induce and regulate autophagosome formation. Furthermore, these processes appear tightly connected to PD, potentially explaining the recurrent themes of synaptic dysfunction and protein homeostasis defects found in models of this neurodegenerative disease.

Results

The Parkinson's disease mutation R228Q in the synaptojanin 1 SAC1 domain does not affect synaptic vesicle endocytosis at fly excitatory glutamatergic neurons and photoreceptors

SYNJ1 is evolutionarily conserved from yeast to humans (Fig 1A and B). The human Parkinson's disease‐causing R258Q mutation in SYNJ1 blocks the dephosphorylation of specific phosphoinositides including PI(3)P and to assess the functional consequences of this mutation, we used MiMIC technology and knocked in the R228Q mutation (corresponding to the human R258Q) into the endogenous Drosophila synj locus (synjRQ) (Appendix Fig S1A) (Venken et al, 2011; Vilain et al, 2014). This synjRQ knock‐in allele expresses Synj at a comparable level to the wild‐type synj locus, indicating that the mutation does not affect protein stability (Appendix Fig S1B, C, and H). We also developed a second system to study Synj function, where we use the UAS/Gal4 system to transgenically overexpress wild‐type or R228Q Synj in neurons of synj null mutant flies that otherwise lack Synj expression (synj−/−; nSyb > UAS synj+ or synjRQ). We confirm similar expression of these transgenically expressed Synj+ and SynjRQ proteins [~1.2‐fold over the levels produced from the endogenous synj locus (Appendix Fig S1D, E, and I)]. We compared the subcellular localization of endogenous Synj against that produced from the R228Q knock‐in locus, or transgenically expressed wild‐type Synj+ and SynjRQ proteins. We find that all concentrate in the presynaptic terminals of the larval neuromuscular junction (NMJ) (Appendix Fig S1F–G″ and J–M″), indicating the mutant protein localizes correctly and similar to the presynaptic protein EndoA (Verstreken et al, 2002).

Figure 1.
  • Download figure
  • Open in new tab
  • Download powerpoint
Figure 1. The Parkinson's disease mutation R228Q in the Synj SAC1 domain does not affect synaptic vesicle cycling

  • A. Diagram of human Synj1 indicating the two polyphosphoinositide domains (SAC1 and 5‐PPase) and the proline‐rich domain. The SAC1 domain bears at position 258 an arginine to glutamine amino acid change causative for PD.

  • B. Arginine at position 258 (green) in Synj1 SAC1 domain and the surrounding region are highly conserved from yeast to human (R258 corresponds to R228 in Drosophila).

  • C. Table indicating neuronal expression (nSyb‐Gal4) of SynjRQ and Synj+ rescues the lethality of synj null mutants (synj1/2 indicated as synj−/−), “A” and “L3” indicate lethality at the “adult stage” and at the “third‐instar larval stage”, respectively.

  • D. Example average traces of ERGs of control animals (left, nSyb‐Gal4/+), flies with synj null mutant eyes (synj−/−), flies with synj null mutant eyes expressing synjRQ or synj+ (UAS synjRQ, synj−/− and UAS synj+, synj−/−), control animals (right, w1118), and synjRQ knock‐in animals. Full genotypes appear in the Appendix Supplementary Methods. “ON” and “OFF” peaks are indicated with arrowheads. Note that while synj null mutants display severe defects in their ERG traces, synjRQ mutants do not. n > 20 animals per genotype.

  • E–J Representative images of boutons loaded (1 min, 90 mM KCl) with FM 1‐43 (E–I) and quantification (J) of the following genotypes: control (left, D42‐Gal4/+) (E), synj null mutants (synj−/−) (F), synj null mutants that express synjRQ (G), or synj+ (H) (UAS synjRQ, synj−/− and UAS synj+, synj−/−), control animals (right, w1118; image not shown, only quantification is included) and synjRQ knock‐in animals (I). Full genotypes appear in the Appendix Supplementary Methods. Scale bar, 5 μm. Note that synjRQ internalizes as much FM 1‐43 as controls do. For UAS experiments, statistical analysis with one‐way ANOVA Kruskal–Wallis followed by Dunn's multiple comparison post hoc test, ****P < 0.0001; ns, not significant; n ≥ 7 larvae and n ≥ 14 NMJs per genotype. For synjRQ experiment: t‐test, P > 0.05, n = 10 larvae and n = 20 NMJs per genotype. Error bars represent SEM.

  • K. Quantification of the number of satellite boutons per NMJ of the genotypes in (E–I). Note that while synj null mutants harbor numerous satellite boutons, synjRQ mutants do not. Statistical analysis for UAS experiments: one‐way ANOVA Kruskal–Wallis followed by Dunn's multiple comparison post hoc test, *P < 0.05, n ≥ 4 larvae and n ≥ 16 NMJs per genotype. For SynjRQ experiment: t‐test, P > 0.05, n = 6 larvae and n ≥ 14 NMJs. Error bars represent SEM.

  • L, M Quantification (L) of the EJC amplitude recorded at third‐instar larval NMJs of the indicated genotypes (see also E–I) and sample EJC traces (M). Statistical analysis, one‐way ANOVA Kruskal–Wallis followed by Dunn's multiple comparison post hoc test, P > 0.05, n ≥ 8 larvae per genotype. Error bars represent SEM.

  • N. Cumulative histograms of mEJC amplitudes and sample EJC traces recorded at third‐instar larval NMJs of the indicated genotypes (see also E–I). n ≥ 7 larvae for indicated genotypes.

  • O, P Relative EJP amplitudes recorded during a 10‐min 10‐Hz stimulation train of the genotypes indicated in (E–I). Please see Materials and Methods for details. Data for the synj null mutants that express synjRQ or synj+ are not significantly different from control (D42‐Gal4/+), whereas a significant difference is observed from data point 3 till the end of the recording of synj null mutants (synj−/−) compared to control (ns: data points 1–2, *P < 0.05: data point 3, **P < 0.01: data points 4, 16–21, ***P < 0.001: data points 5, 13–15, ****P < 0.0001: data points 6–12). Statistical analysis for UAS experiments: one‐way ANOVA Kruskal–Wallis followed by Dunn's multiple comparison post hoc test, n ≥ 4 larvae indicated genotypes in (O). Data for SynjRQ compared to control are not significantly different. Statistical analysis by t‐test, P > 0.05, and n ≥ 8 larvae for indicated genotypes in (P). Error bars represent the SEM. Note that synj null mutants do not maintain neurotransmitter release whereas the synjRQ mutants maintain release similar to controls.

Synj null mutant animals are not viable (Fig 1C), and deletion of synj specifically in the eye severely affects the efficiency of synaptic transmission between eye photoreceptors and the brain detected by electroretinogram (ERG) recordings (Fig 1D, arrowheads). As expected, these Synj null phenotypes are rescued by neuronal transgenic expression (nSyb‐Gal4) of wild‐type Synj+. Surprisingly, however, transgenic expression of the SynjRQ mutant is as effective as the wild‐type protein (Fig 1C and D). Since even a partially active mutant might result in rescue of the phenotype when overexpressed, we confirmed that synjRQ knock‐in flies are viable and that they too display normal ERGs (Fig 1D). Hence, it appears that the SynjRQ mutant protein retains core Synj activities that are essential for viability and synaptic communication in the eye.

Synj is best defined as the protein that uncoats newly endocytosed synaptic vesicles (Cremona et al, 1999; Harris et al, 2000; Verstreken et al, 2003). To directly examine whether R228Q affects this endocytic function, we performed FM 1‐43 fluorescent dye labeling at the excitatory glutamatergic Drosophila NMJ. FM 1‐43 binds membranes and is incorporated into and labels newly formed synaptic vesicles, thereby labeling synaptic boutons proportional to the amount of vesicle recycling and thus synaptic endocytosis (Ramaswami et al, 1994). As previously described, synj loss significantly reduces FM 1‐43 labeling compared to controls (Verstreken et al, 2003). This labeling is restored by neuronal expression of wild‐type synj, and again also by SynjRQ (Fig 1E–H and J). We confirmed that SynjRQ rescues the synj knockout phenotype independent of overexpression by finding normal FM 1‐43 dye uptake in synjRQ knock‐in animals (Fig 1I and J). Thus, FM 1‐43 labeling suggests that SynjRQ supports presynaptic vesicle recycling and, under the conditions we tested, does so as efficiently as wild‐type Synj.

The disruption of NMJ endocytosis often correlates with morphological defects. These also occur in the synj null mutants in the form of numerous satellite boutons that are small protrusions emanating from the primary axial branch (Dickman et al, 2006). We therefore examined whether SynjRQ possesses sufficient Synj activity to suppress this defect. We find a significant rescue of this synj null mutant‐associated satellite bouton phenotype in synj null mutants that transgenically express wild‐type Synj+ or mutant SynjRQ. We also observe no difference in satellite bouton number between synjRQ knock‐in animals and controls (Fig 1K). Hence, SynjRQ appears to allow enough endocytosis to suppress this classic readout of NMJ endocytic defects, and is markedly different to the synj null allele.

We next directly examined how well SynjRQ supports neurotransmission at the larval NMJ. First, we measured basal release characteristics including miniature excitatory junctional currents (mEJC) and EJCs. In controls and synj null mutants expressing Synj+ or SynjRQ, no difference is observed in mEJC and EJC amplitude nor in frequency (Fig 1L–N). We then stimulated the motor nerves for 10 min at 10 Hz to continuously drive synaptic vesicle exo‐ and endocytosis, and measured the post‐synaptic excitatory junctional potentials (EJP). While control NMJs maintain neurotransmitter release under these conditions, synj null mutants fail to do so, and the block in endocytosis causes the EJP amplitude to drop to a low level in the first minutes of stimulation (Fig 1O) (Verstreken et al, 2003). This neurotransmission defect is rescued by transgenic neuronal expression of wild‐type Synj+, or SynjRQ (Fig 1O). Here also, synjRQ knock‐in animals maintain release during this 10‐Hz stimulation train at a level comparable to controls (Fig 1P). SynjRQ was previously shown to lack SAC1 domain phosphatase activity (Krebs et al, 2013) and our data now suggest that the SynjRQ mutant protein can support synaptic vesicle cycling. These results are consistent with data obtained in mouse cortical neurons using SAC1‐dead Synj1 mutants that also supported vesicle recycling during persistent activity (Mani et al, 2007).

Synaptojanin is required for autophagosome formation in presynaptic terminals

Given that Synj is strongly enriched at presynaptic terminals (Verstreken et al, 2003), Synj1R258Q lacks PI(3)P phosphatase activity (Krebs et al, 2013), and the importance of PI(3)P on autophagosomes (Simonsen & Tooze, 2009; Burman & Ktistakis, 2010; Noda et al, 2010; Dall'Armi et al, 2013; Devereaux et al, 2013), we hypothesized that the Synj SAC1 domain acts in synaptic autophagy. We and others recently showed the presence of autophagic markers at presynaptic terminals (Williamson et al, 2010; Hernandez et al, 2012; Zhu et al, 2013; Maday & Holzbaur, 2014; Wang et al, 2015, 2016; Soukup et al, 2016; Stavoe et al, 2016). To determine whether Synj localizes on autophagic membranes, we examined the interaction between Synj and the transmembrane Atg9 marker of early pre‐autophagosomal membranes (He et al, 2006; Tamura et al, 2010; Yamamoto et al, 2012; Stavoe et al, 2016). The distribution of a genomic Atg9HA construct where Atg9HA is expressed under endogenous promotor control is broad (Appendix Fig S2A–A″), consistent with the idea that Atg9 decorates early autophagic vesicles and autophagosomes. Next, we used anti‐HA to immunoprecipitate neuronal autophagosomal membranes from fly heads expressing Atg9HA at endogenous levels. We detect the co‐immunoprecipitation of Synj with the Atg9‐positive membrane fraction in both wild‐type and synjRQ knock‐in animals expressing Atg9HA (Fig 2A). In contrast and indicating specificity, other synaptic proteins (alpha‐SNAP and complexin) do not co‐immunoprecipitate (Fig 2A).

Figure 2.
  • Download figure
  • Open in new tab
  • Download powerpoint
Figure 2. Synaptojanin is required for synaptic autophagy

  • A. Western blot of an anti‐HA immunoprecipitation from control fly heads (w1118), Atg9HA‐expressing fly heads (w;;Atg9HA) and w;synjRQ;Atg9HA. Blots probed with anti‐Synj to assess whether Synj (predicted 134 kDa) is present on Atg9‐positive structures; anti‐HA to assess immunoprecipitation specificity, Atg9HA (predicted 96 kDa). As control alpha‐SNAP (33 kDa) and complexin (cpx; 18 kDa) where probed. Experiments were performed in independent duplicates.

  • B–G Live imaging of fed (B–F) and 4‐h‐starved (B′–F′) NMJ boutons of control (D42‐Gal4 > Atg8mCherry) (B, B′) and synj−/− null mutants (C, C′) either expressing synjRQ (D, D′) or synjCS (E, E′) or synj+ (F, F′) and also expressing Atg8mCherry (D42‐Gal4 > Atg8mCherry). Full genotypes are included in the Appendix Supplementary Methods section. Quantification of the number of Atg8mCherry dots (arrowheads) (G). Statistical analysis with one‐way ANOVA Kruskal–Wallis followed by Dunn's multiple comparison post hoc test, ****P < 0.0001, ***P < 0.001, and each genotype individually fed and starved by t‐test, ****P < 0.0001, n ≥ 9 larvae and n ≥ 18 NMJs per genotype. Error bars represent SEM; scale bar, 5 μm. Note that loss of Synj blocks the formation of Atg8mCherry dots and this is not rescued by expression of synjRQ nor synjCS.

  • H–J Live Atg8mCherry imaging following 30 min of 20‐Hz electrical nerve stimulation of indicated genotypes (H, I). Full genotypes are included in the Appendix Supplementary Methods. Quantification of Atg8mCherry dots (arrowheads) (J). Statistical analysis by t‐test, **P < 0.01, n ≥ 8 larvae and n ≥ 33 NMJs per genotype. Error bars represent SEM; scale bar, 5 μm.

  • K–M Images of NMJ boutons of synj−/− null mutants either expressing synj+ (K) or synjRQ (L) and also expressing Atg8mCherry (D42‐Gal4 > Atg8mCherry) fed (data from G) and fed or starved for 4 h with chloroquine and labeled with anti‐mCherry antibodies. Quantification of the number of Atg8mCherry dots (arrows) of indicated genotypes (in detail in the Appendix Supplementary Methods) (M). Statistical analysis by t‐test, ****P < 0.0001, **P < 0.01, n ≥ 9 larvae and n ≥ 18 NMJs per genotype. Error bars represent SEM; scale bar. 5 μm. Despite that chloroquine blocks autophagosome to lysosome fusion, Atg8mCherry dots still do not form in animals expressing synjRQ.

Next, we assessed whether Synj is important for presynaptic autophagy. Such a role had recently been suggested in zebrafish cone photoreceptors (George et al, 2016). We expressed transgenes for the Atg8mCherry (fly LC‐3) marker of mature autophagosomes (Kabeya et al, 2000) and Lamp1GFP, an autolysosomal marker (Marzella et al, 1982; Juhász et al, 2008), in motor neurons using D42‐Gal4. In control animals, autophagy induced by starvation (amino acid deprivation) is marked by the presence of punctate dots of Atg8mCherry signal within presynaptic terminals (Fig 2B, B′, and G) that we previously characterized by correlative light and electron microscopy (CLEM) as synaptic autophagosome‐like structures (Soukup et al, 2016). Moreover, boutons of starved control animals also accumulate the Lamp1GFP marker (Appendix Fig S2B, B′, and F). In contrast, in synj null mutants and synj null mutants that express SynjRQ, the Atg8mCherry and Lamp1GFP redistribution is blocked (Fig 2C–D′ and G, and Appendix Fig S2C–D′ and F). Unlike our findings with Synj‐driven endocytosis, we observe that only wild‐type Synj+, and not SynjRQ, can recover the Synj function in presynaptic autophagy (Fig 2F and G, and Appendix Fig S2E and F). Our results are also not unique to “starvation‐induced autophagy” because when we induce the process by direct electrical motor neuron stimulation (30 min 20 Hz) (Soukup et al, 2016), the clear increase in the number of Atg8 dots observed in controls is absent in synjRQ mutants (Fig 2H–J).

To scrutinize our results further and provide evidence that the block in synaptic autophagy is caused by the lack of SAC1 activity, we created flies that express SynjC396S (SynjCS), a SAC1 enzymatic dead mutant (Mani et al, 2007). We expressed SynjCS in synj−/− null mutants under the same conditions as used to express SynjRQ using D42‐Gal4 driver. We then assessed Atg8mCherry localization and found that Atg8mCherry also does not concentrate in dots upon induction of starvation (Fig 2E, E′, and G). These data are in further support of the notion that Synj SAC1 domain function is required for synaptic autophagy and that the pathogenic PD mutant Synj behaves in this respect similar to a Synj‐SAC1 domain mutant.

Next, to distinguish whether loss of Synj SAC1 function blocks autophagosome formation or promotes autophagosome degradation, we pharmacologically blocked the fusion of autophagosomes with late endosomes/lysosomes using chloroquine (Stauber et al, 1981; Chi et al, 2010). Subsequently, we monitored Atg8mCherry localization. As expected in wild‐type controls, chloroquine under fed or starved conditions causes an increase in the number of Atg8mCherry dots. In contrast, in synjRQ mutants, chloroquine does not result in such an increase in the number of Atg8mCherry dots (Fig 2K–M), suggesting autophagosome biogenesis is slowed. We provide further evidence for this by using the flux marker Atg8 tagged with GFP and RFP in tandem. Here, Atg8‐positive organelles are green and red fluorescent, but when they fuse with lysosomes, the GFP is quenched and autolysosomes are only red (DeVorkin & Gorski, 2014). We quantified the number of yellow and red Atg8‐positive organelles in controls as well as the rare Atg8‐positive organelles in synjRQ mutants. We do not observe a significant difference in the ratio of red (mature) over total Atg8‐labeled organelles between control and synjRQ (Control: 55%; synjRQ: 57%). The data indicate that once a rare Atg8‐positive autophagosome manages to form in synjRQ mutants, its further maturation is not impeded (Appendix Fig S2G–I).

Synj mutants accumulate Atg18a within synaptic boutons

Members of the PROPPIN domain‐containing protein family are key PI(3)P‐ and PI(3,5)P2‐binding proteins with a role in autophagy (Baskaran et al, 2012). Given that Synj1RQ cannot dephosphorylate PI(3)P (and likely PI(3,5)P2), we hypothesized that in the synj null mutants that express SynjRQ, autophagic PROPPIN‐containing proteins would accumulate on synaptic pre‐autophagosomal membranes. Therefore, we generated flies expressing N‐terminal GFP‐tagged Drosophila homologs of the PROPPIN WIPI2 (Atg18a, Atg18b, and CG11975; 70.8, 56.5, and 32.0% identity to human WIPI2 respectively). Both Atg18aGFP and CG11975GFP localize in puncta at synaptic boutons when expressed in motor neurons (D42‐Gal4) (Appendix Fig S3A, B, G, and H). In contrast, Atg18bGFP is retained in neuronal cell bodies (Appendix Fig S3E and F). After starvation, we observe a clear upregulation of the number of Atg18aGFP puncta, while the number of CG11975GFP dots does not change (Appendix Fig S3C, D, I, and J and Fig 3A, A′, and E). Additionally, Atg18aGFP puncta sometimes colocalize with Atg8mCherry puncta (Appendix Fig S3K and L) and expression of Atg18aGFP using the ubiquitous Da‐Gal4 driver in atg18a null mutants rescues their lethality. These data indicate that Atg18aGFP is a functional protein.

Figure 3.
  • Download figure
  • Open in new tab
  • Download powerpoint
Figure 3. Atg18a‐positive structures accumulate at synaptic boutons of synj mutants

  • A–E Live imaging of fed (A–D) and 4‐h‐starved (A′–D′) NMJ boutons in controls (D42‐Gal4 > Atg18aGFP) (A, A′) and synj−/− null mutants (B, B′) or synj−/− null mutants expressing either synjRQ (C, C′) or synj+ (D, D′) and also expressing Atg18aGFP (D42‐Gal4 > Atg18aGFP). Quantification of the number of Atg18aGFP dots (arrowheads) of indicated genotypes under fed and starved conditions (E). Full genotypes appear in the Appendix Supplementary Methods. Statistical analysis by t‐test comparing control to individual genotypes separately in fed conditions and each genotype individually fed and starved, **P < 0.01, *P < 0.05, n ≥ 10 larvae and n ≥ 20 NMJs per genotype. Error bars represent SEM; scale bar, 5 μm. Note that loss of Synj increases the number of Atg18aGFP dots even under fed conditions. This is not rescued by expression of synjRQ.

  • F–P Correlative light and electron microscopy (CLEM) of 4‐h‐starved synj−/− null mutant NMJ boutons expressing Atg18aGFP and synjRQ under the control of D42‐Gal4. NMJ boutons with Atg18GFP fluorescence were imaged (F), and subsequently surrounded by burn marks using near‐infrared branding (NIRB) (F–H). Branding marks are clearly visible in transmission and fluorescent mode due to autofluorescence of the marks (F, G). Branding marks allow subsequent detection of the same region of interest in electron micrographs (H). The marks then allow for the correlation of fluorescent and electron micrographs of Atg18aGFP‐positive boutons (I–K). Arrows indicate Atg18GFP‐positive labeling (intensities were adjusted as to identify structures) in EM micrographs and boxes are enlarged in subsequent panels. Magnification of Atg18aGFP‐positive structures identified in (I–K) is shown in (L) and further examples of Atg18GFP‐labeled structures are taken from independent CLEM experiments (M–P). Scale bars: 50 μm (F–H), 5 μm (I), 50 nm (J, K), and 200 nm (L–P).

  • Q–U Representative transmission electron micrographs of 4‐h‐starved synj−/− null mutants expressing either synj+ (Q) or synjRQ (R) using D42‐Gal4, as well as of 4‐h‐starved synj−/− null mutants (S), controls (w1118 (T)), and synjRQ knock‐in animals (U). Full genotypes appear in the Appendix Supplementary Methods. Scale bars, 1 μm.

  • V. Quantification of the number of synaptic vesicles (diameter < 80 nm) and cisternae that resemble Atg18aGFP‐positive structures identified using CLEM. Note that at boutons of synj−/− null mutants, synj−/− null mutants expressing synjRQ and synjRQ, there are cisternae that resemble the Atg18aGFP‐positive structures identified in CLEM; in synj−/− null mutants expressing synjRQ and in synjRQ knock‐in, there are numerous synaptic vesicles detectable. For statistical analysis of both SV and cisternae, t‐test comparing genotypes individually, *P < 0.05, ***P < 0.001, ****P < 0.0001. n ≥ 3 larvae and n ≥ 8 NMJs per genotype. Error bars represent SEM.

We then assessed Atg18aGFP localization in synj null mutants that express synjRQ. Consistent with SynjRQ not being able to dephosphorylate PI(3)P (Krebs et al, 2013), we find a significant increase in the number of Atg18aGFP dots in fed synj mutants in comparison with fed controls (Fig 3A–C′ and E). In addition, the number of Atg18aGFP dots is also increased in synj null mutant boutons that express synjRQ compared to synj null mutant boutons that express synj+ (Fig 3C–E). Atg18a can bind PI(3)P and PI(3,5)P2 that are both dephosphorylated by the SAC1 domain of Synj1. To delineate which phosphoinositide is involved, we took a pharmacological approach. We used wortmannin (WM) that inhibits Vps34, a kinase that produces PI(3)P, or YM201636 (YM) that inhibits PIKfyve, a kinase that produces PI(3,5)P2. We applied these drugs during starvation to control and synjRQ mutant animals that express Atg18aGFP. While Atg18aGFP accumulates in dots in starved controls, application of either drug blocks this effect and Atg18aGFP does not accumulate anymore, indicating that Atg18aGFP likely binds both PI(3)P and PI(3,5)P2 during autophagy at synapses (Appendix Fig S3M). In synjRQ mutants, the number of Atg18aGFP dots is always upregulated. However, when we starve the larvae in the presence of either WM or YM, the number of Atg18aGFP is lower than in untreated starved synjRQ mutants (Appendix Fig S3M). These data suggest that consistent with the previously established function of the Synj SAC1 domain, both PI(3)P and PI(3,5)P2 accumulate and bind Atg18a in synjRQ mutants.

We tried to find further evidence for upregulation of PI(3)P in synjRQ using expression of 2xFYVE‐GFP, a probe that binds PI(3)P. We were however unsuccessful and did not detect obvious differences (not shown). Nonetheless, we do believe our results are consistent with the specific loss of SAC1 domain function in synjRQ. We assessed 5‐phosphatase domain activity of Synj using the PLCδ‐PH‐eGFP probe that detects PI(4,5)P2. We find that the synaptic labeling intensity of PLCδ‐PH‐eGFP is much less affected in synj null mutants that express SynjRQ (where 5‐phosphatase activity is not affected) compared to synj null mutants (where 5‐phosphatase activity is affected) (Appendix Fig S3N–R), suggesting synjRQ mutants support PI(4,5)P2 dephosphorylation. Taken together, the data are consistent with normal PI(4,5)P2 dephosphorylation activity of Synj1RQ measured in vitro (Krebs et al, 2013), but altered PI(3)P dephosphorylation, thereby leading to the accumulation of Atg18a at synaptic boutons in synjRQ mutants.

Visualization of Atg18a‐labeled structures at synaptic boutons

Synapses in synj mutants expressing SynjRQ harbor increased synaptic Atg18aGFP accumulations and largely lack Atg8mCherry accumulations. To further visualize the Atg18aGFP‐labeled structures, we resorted to CLEM, a methodology that allows us to directly determine the ultrastructural appearance of Atg18a‐positive structures within synaptic boutons. Synj mutants expressing SynjRQ and Atg18aGFP were dissected, fixed, and imaged. Subsequently, a near‐infrared laser was used to produce burn marks in the vicinity of the imaged region. These marks are easily discernable at the light and EM level and help us when producing serial sections of the imaged boutons (Fig 3F–H). After alignment of the confocal images with the serial TEM images, we are able to identify the Atg18aGFP‐positive structures (Fig 3I–K). As indicated in Fig 3L–P, Atg18aGFP marks profiles that have the appearance of cisternae that sometimes contain a few smaller vesicular structures in their lumen. Given that the flux of synaptic autophagy is blocked in synj mutants expressing SynjRQ and that these mutants do not harbor Atg8mCherry dots, we propose that these cisternae are early presynaptic autophagic intermediates.

Using the morphological features of Atg18aGFP‐positive structures as a guide, we assessed the ultrastructural morphology of synapses in starved animals. We used TEM images to quantify the number of synaptic vesicles and the number of structures that have an appearance similar to the Atg18a‐positive cisternae in our CLEM studies (Fig 3V). Compared to starved controls and synj null mutants expressing Synj+, starved synj null mutants show a strong reduction in the number of synaptic vesicles per bouton area, consistent with a defect in synaptic endocytosis. These mutants also show an increased number of cisternal structures (Fig 3Q, S, T, and V), correlating with an increased number of Atg18a‐positive dots in synj null mutants. Starved synj null mutants that express synjRQ and synjRQ knock‐in animals also show an increased number of cisternal structures at boutons (Fig 3R, U, and V). However, there is a largely normal number of synaptic vesicles compared to controls (Fig 3Q–V), consistent with the normal synaptic vesicle endocytosis that we measured in these mutants (see Fig 1).

Synaptojanin regulates Atg18a mobility at autophagosomal membranes

In synaptic vesicle endocytosis, the dephosphorylation of PI(4,5)P2 by Synj on nascent vesicles regulates the detachment of adaptors with affinity for this lipid. We reasoned that a similar mechanism may be at play during autophagosome formation and tested whether Synj regulates Atg18a attachment and detachment. We expressed Atg18aGFP and assessed the fluorescence recovery after bleaching one specific Atg18aGFP dot. Synj null mutants and synj null mutants expressing SynjRQ show significantly slower recovery of Atg18a fluorescence in the bleached area compared to synj null mutants expressing Synj+ or compared to wild‐type controls (Fig 4A–E).

Figure 4.
  • Download figure
  • Open in new tab
  • Download powerpoint
Figure 4. Synaptojanin regulates Atg18a uncoating at autophagosomal membranes

  • A–E Representative time‐lapse images of a FRAP experiment where the fluorescence recovery after bleaching of an individual Atg18aGFP dot (D42‐Gal4 > Atg18aGFP) was monitored at a synaptic bouton of a control (A) and of a synj−/− null mutant (B) and of a synj−/− null mutant expressing either synjRQ (C) or synj+ (D) (expressed using the D42‐Gal4). (E) Quantification of fluorescence intensities of a bleached Atg18aGFP dot (arrowheads) in the indicated genotypes (in % of initial fluorescence of the Atg18aGFP dot before bleaching), error bars represent SEM. Full genotypes appear in the Appendix Supplementary Methods. Note the reduced fluorescence recovery of Atg18a in synj null mutants and synj null mutants expressing synjRQ compared to wild‐type controls. Even in wild‐type Atg18aGFP, fluorescence never recovers more than 60%, suggesting an immobile pool of protein on the nascent autophagosome.

  • F–J Transgenic larvae expressing Atg18amEos3.2 were imaged at 33 Hz. (F–F‴) Representative low‐resolution image of NMJ bouton (F), sptPALM trajectory map (F′), average intensity (F″), and diffusion coefficient (F‴) of Atg18amEos3.2. Scale bar, 5 μm. (G) Comparison of MSD of Atg18amEos3.2 in fed and starved conditions (n ≥ 6 larvae and n ≥ 18 NMJ per condition). (H) Analysis of the area under the MSD curve (μm2s) showed significant decrease in starved compared to fed controls. (I) Diffusion coefficient distribution of Atg18amEos3.2 in fed and starved controls. (J) Mobile‐to‐immobile ratio for fed (13.4 ± 1.8) significantly reduced in starved conditions (7.1 ± 0.5). Statistical analysis by one‐way ANOVA with Tukey's multiple comparison test, **P < 0.01. Error bars represent SEM.

  • K–M Representative time‐lapse images of mEOS3.2 photoconversion experiment were the RFP fluorescence recovery on an individual Atg18amEOS3.2 after GFP conversion of the neighboring bouton, an individual Atg18amEOS3.2 dot (D42‐Gal4 >  Atg18amEOS3.2) was monitored at a synaptic bouton of a control (K) and of a synjRQ (L). (M) Quantification of the ratio RFP/GFP fluorescence intensities of an Atg18amEOS3.2 dot (arrowheads) in the indicated genotypes (in % of final time point (10 min after photoconversion) RFP/GFP fluorescence ratio of the Atg18amEOS3.2 dot), error bars represent SEM. Full genotypes appear in the Appendix Supplementary Methods. Statistical analysis comparing curves fitted by linear regression. n ≥ 3 larvae and n ≥ 13 NMJs per genotype. Note the reduced RFP/GFP fluorescence recovery of Atg18amEOS3.2 in synjRQ compared to wild‐type controls.

To find further evidence for our model, we also generated Atg18amEOS3.2‐expressing flies. mEos is a photoconvertible fluorescent protein that shifts from green to red fluorescence when activated (Zhang et al, 2012). We reasoned that Atg18a mobility would decrease after induction of autophagy, as more Atg18a would bind to newly forming autophagosomes. Therefore, we used single‐particle tracking photoactivation localization (sptPALM) microscopy to track single molecules within synaptic boutons expressing Atg18amEOS3.2 (Bademosi et al, 2017). Tracking each fluorescent molecule (Video EV1) allows us to generate trajectory maps of Atg18amEOS3.2, as well as intensity and instantaneous diffusion coefficient maps (Fig 4F–F‴). Moreover, we quantified Atg18amEOS3.2 mobility by analyzing the mean square displacement (MSD) of sptPALM trajectories of single fluorescent localizations (Fig 4G). Compared to fed larvae, Atg18a mobility significantly decreases in starved larvae (Fig 4H), in good agreement with recruitment of cytosolic molecules to presynaptic autophagosomes. Analysis of the diffusion coefficient distribution reveals a decrease in the mobile population of Atg18amEOS3.2 in starved conditions (Fig 4I). This is most apparent in the ratio of the mobile‐to‐immobile fractions (Fig 4J). This change in mobility of Atg18a after induction of autophagy is consistent with the recruitment of Atg18a to presynaptic autophagosomes.

We subsequently followed the accumulation of Atg18a on synaptic autophagosomes by converting a boutonic pool of Atg18amEOS3.2. We converted Atg18amEOS3.2 in one bouton and followed accumulation of red Atg18amEOS3.2 on (green Atg18amEOS3.2‐positive) autophagosomes in the neighboring boutons of control and synjRQ knock‐in flies. While the amount of red photoconverted Atg18a in the cytoplasm of controls and synjRQ is similar, the red Atg18a accumulates significantly less quickly on nascent autophagosomes in synjRQ compared to controls (Fig 4K–M). This slowed acquisition of red fluorescence indicates reduced exchange between membrane bound and soluble pools of Atg18a, and thus indicates that the SAC1 domain of Synj normally promotes Atg18a mobility at synaptic autophagosomes.

SynjRQ reduces lifespan upon starvation and causes neurodegeneration

To more broadly assess the physiological consequences of the SynjRQ mutation, we examined whether this affects animal survival under starvation conditions, a readout that is strongly modulated by autophagy (Juhász et al, 2007). While wild‐type flies reared in these conditions can survive for ~4 days, we detect significantly reduced survival times for synj null mutants that express SynjRQ in neurons or synjRQ knock‐in animals which display 100% lethality within 3 days (Fig 5A and A′). The results correlate with impaired autophagosome maturation in animals lacking Synj SAC1 activity, suggesting that presynaptic autophagy connects to an important survival mechanism during starvation in the fruit fly.

Figure 5.
  • Download figure
  • Open in new tab
  • Download powerpoint
Figure 5. Defects in synaptic autophagy result in reduced lifespan upon starvation and neurodegeneration

  • A, A′ Complete starvation (water‐only diet) assay in synj null mutants expressing synjRQ (light green) or synj+ (blue) (expressed using nSyb‐Gal4) (A) and synjRQ knock‐in animals (dark green) as well as controls (w1118, black) (A′). Statistical analysis of survival curves by log‐rank (Mantel–Cox) test, ****P < 0.0001, n ≥ 134 flies per genotype for (A) and n ≥ 292 flies per genotype for (A′), dotted lines surrounding the curves indicate SEM. Note, synj null mutants expressing synjRQ as well as synjRQ knock‐in flies have a shorter life span under these starvation conditions.

  • B–E Representative electron micrographs of the retina after 7 days of continuous light exposure of control (nSyb‐Gal4/+) (B) and synj null mutants expressing synjRQ (C) or synj+ (D) (expressed using nSyb‐Gal4). Green highlighting in (C) shows disintegrating rhabdomeres as a sign of degeneration. Scale bar, 2 μm. (E) Quantification of number of intact ommatidia per indicated genotype when flies were kept in complete darkness or when exposed to light. Full genotypes are in the Appendix Supplementary Methods. Statistical analysis by t‐test, ****P < 0.0001, n = 3–5 flies per genotype. Error bars represent SEM.

  • F–F″ Dopaminergic neuron degeneration assay in 30‐day‐old control (w1118) and synjRQ knock‐in flies. Schematic representation (F) and image (z‐stack, sum of slices) of posterior side of an anti‐TH‐labeled 30‐day‐old adult fly brain (F′) to show the location of the different dopaminergic neuron cell bodies in this part of the brain. Scale bar, 40 μm. (F″) Bar graph showing the number of dopaminergic neurons (TH‐positive) in each cluster indicated in (F) in 30‐day‐old flies of control (black bars) and synjRQ knock‐in (dark green bars) flies. Statistical analysis per dopaminergic cluster by t‐test, **P < 0.01, *P < 0.05, n ≥ 15 brains per genotype. Error bars represent SEM. Note at PPM3 and PPL1 dopaminergic neuron clusters the reduction of anti‐TH‐positive neuronal cell bodies in the of synjRQ mutant animals compared to controls.

Next, we tested neuronal survival, another parameter sensitive to autophagy (Komatsu et al, 2006; Juhász et al, 2007). To induce neurodegeneration, flies were kept 7 days in constant light challenging photoreceptor neurons of the fly eye. In synj null mutant flies that express SynjRQ, a significant reduction in the number of intact ommatidia and an accumulation of vacuoles was observed. In contrast to control animals, when synj null mutant animals expressing Synj+ or animals kept in dark for 7 days, these photoreceptors appear unaffected (Fig 5B–E). Finally, given the vulnerability of dopaminergic neurons in PD, we assessed the integrity of such neurons in fly brains of 30‐day‐old synjRQ knock‐in animals using anti‐TH labeling. In these mutants, anti‐TH‐positive neuronal cell bodies in the PPM3 and PPL1 dopaminergic neuron clusters were significantly reduced compared to controls (Fig 5F–F″). Hence, Synj SAC1 domain function is required for dopaminergic neuron survival in the fly brain.

WIPI2/Atg18a accumulates in neurites of SYNJ1 R258Q patient‐derived human induced neurons

To confirm our key findings in a disease‐relevant condition, we resorted to human iPSC obtained from two patients with autosomal recessive, early‐onset PD carrying the R258Q mutation in SYNJ1 as well as two age‐matched controls (Appendix Table S1). Following validation, including expression analysis of pluripotency and proliferation markers (Fig 6A–B′, Appendix Fig S4 and Appendix Table S1), we differentiated these iPSC into neurons. After 28 days of differentiation, we labeled the neurons with anti‐WIPI2 (mammalian Atg18a) and imaged the neurites (Fig 6C–F). Similar to our observations at fly synapses, we find a significant increase in the number of WIPI2 dots in starved control neurons compared to fed control neurons (Fig 6C, D, and G). Moreover, in line with our observations made with fly synjRQ mutants, we find a significant increase in the number of WIPI2 dots in fed SYNJ1RQ neurons compared to fed controls and which is even further increased in starved SYNJ1RQ neurons (Fig 6C and E–G). These data indicate that also in human neurons, Synj1 is required for autophagy, and further supports our model that implicates SYNJ1‐SAC1 function in removing Atg18a/WIPI2 from nascent autophagosomal membranes.

Figure 6.
  • Download figure
  • Open in new tab
  • Download powerpoint
Figure 6. WIPI2/Atg18a accumulates in neurites of SYNJ1 R258Q human patient iPSC‐derived neurons

  • A–B′ Immunocytochemistry analysis of human iPSC‐derived neurons (after 28 days of differentiation) showing expression of neuronal markers, anti‐MAP2 (magenta) and anti‐synapsin 1 (green) in control (A, A′) and SYNJ1RQ (B, B′). Scale bars, 15 μm.

  • C–G Images of neurons stained with anti‐WIPI2 in fed and starved conditions of controls (C, D) and SYNJ1R258Q (E, F). (G) Quantification of the number of WIPI2 dots of indicated genotypes (two control lines and two patients lines (NAPO16 and 17), circles and triangles indicate separate lines for each genotype) under fed and starved conditions. Statistical analysis with one‐way ANOVA Kruskal–Wallis followed by Dunn's multiple comparison post hoc test, ****P < 0.0001, **P < 0.01, ns, not significant. n ≥ 21 images per condition per genotype. Error bars represent SEM; scale bar, 15 μm. Note that SYNJ1RQ has increased number of WIPI2 dots under fed conditions.

Discussion

The presynaptic protein SYNJ1 contains two PtdInsP lipid phosphatase domains and is critical for neurotransmission. In this work, we take advantage of both flies and human iPSC‐derived neurons obtained from patients carrying the SYNJ1 R258Q mutation to examine the role of the Synj SAC1 phosphatase domain that is mutated in early‐onset PD and that was previously shown to block PI(3)P dephosphorylation (Krebs et al, 2013). We show that Synj has a previously unrecognized role in promoting autophagosome maturation within presynaptic terminals and that this is distinct to the relatively well‐described function in synaptic vesicle recycling. This predicts that defective synaptic autophagy and protein clearance contributes to SYNJ1‐PD pathology. Furthermore, given that Synj is a presynaptic protein, these data show the existence of a synapse‐specific autophagy machinery and suggest this process may be disrupted in PD.

We detected that Synj has dual presynaptic functions in endocytosis and macroautophagy when comparing the impact of the SAC1‐domain mutation and a null mutation. While the Synj null mutation causes larval lethality, SynjRQ knock‐in animals or synj null mutants that neuronally express SynjRQ are viable. Similarly, synaptic endocytic mutants cause lethality in flies, while many of the mutants that disrupt macroautophagy are viable (Verstreken et al, 2002, 2003; Juhász et al, 2007; Soukup et al, 2016). Hence, our observation that synjRQ flies live is in line with the mutation not disrupting endocytosis. Furthermore, we provide several additional lines of evidence that SynjRQ mutants have largely normal synaptic endocytosis. First, SynjRQ mutants have a largely normal number of synaptic vesicles. Second, they display normal presynaptic FM1‐43 dye uptake at NMJs. Third, they do not develop the NMJ morphological defects associated with impaired endocytosis. Fourth, we directly assessed how the SAC1 domain synjRQ PD mutation affects neurotransmission. Unlike endocytic mutants, we find that the SynjRQ mutant protein maintains NMJ neurotransmitter release during intense stimulation, as well as during normal neurotransmission between the fly eye and brain. These results all indicate that the SynjRQ protein can fulfill the endocytic function of Synj that is required for efficient synaptic vesicle cycling and is severely abnormal in synj null animals. Nevertheless, the RQ mutation in Synj does incapacitate aspects of Synj activity, as evidenced by loss of dopaminergic neurons and shorter lifespan of SynjRQ‐expressing flies under starved conditions. We also find that synaptic boutons expressing SynjRQ fail to organize autophagy at presynaptic terminals. Instead, these boutons contain membrane structures positive for the early autophagosome marker Atg18a. Thus, given that under the used conditions, we see that synjRQ animals have severely abnormal autophagy alongside normal endocytosis, we conclude that Synj operates in both processes.

Our findings implicate Synj in autophagy at presynaptic terminals, which is surprising given the well‐studied role of this protein at the synapse (McPherson et al, 1996; Cremona et al, 1999; Harris et al, 2000; Verstreken et al, 2003). We therefore hypothesize that the severe endocytic defects that occur upon synj loss made it difficult to detect the importance in autophagy. The conclusion that Synj1 is a dual endocytic and autophagic protein is consistent with the evolutionarily conserved presence of two distinct Synj PtdInsP phosphatase domains, SAC1 and 5‐phosphatase, that have different preferences for PtdInsP species. This suggests a cooperativity between the domains and it is interesting to consider the possibility that the dual roles of Synj allow this protein to couple autophagy to levels of synaptic vesicle cycling and thus ensure sufficient protein turnover possibly depending on the level of synaptic activity.

We provide evidence that SAC1‐dependent PI(3)P and PI(3,5)P2 dephosphorylation is needed for normal autophagic flux at synapses using both SynjRQ and SynjCS, in line with the activities of the PI(3)P phosphatases Ymr1, INP52, and INP53 in yeast cells (Parrish et al, 2004). These data in yeast and flies appear at odds with a study in zebrafish where expression of the SAC1 SynjC385S mutant results in a mild and partial rescue of autophagy in cone photoreceptors. While we currently do not understand the nature of this partial rescue, cone photoreceptors are tonically firing neurons (Van Epps et al, 2001; Heidelberger et al, 2005) and these cells may have different requirements for Synj activity than the spiking neurons at the fly NMJ or mouse hippocampal neurons. Nonetheless, the nature of the partial rescue of autophagy defects upon expression of SynjC385S in zebrafish suggests optimal SAC1 function is needed for normal autophagy. It will be interesting in this context to assess the effect of the Synj Parkinson mutations in zebrafish as well.

While our data indicate an important role of the Synj SAC1 domain in synaptic autophagy, our data do not exclude that the Synj 5‐phosphatase domain is—indirectly—needed for autophagy as well. The Synj 5‐phosphatase domain dephosphorylates phosphoinositides critical for endocytosis and synj 5‐phosphatase mutants strongly disrupt endocytosis in mouse neurons (Mani et al, 2007). Endocytosis itself is required for the maturation of autophagic markers, suggesting that ultimately, the 5‐phosphatase domain may block autophagy as well (Jäger et al, 2004; Hyttinen et al, 2013; Puri et al, 2013). This idea is consistent with evidence from the zebrafish study where a Synj 5‐phosphatase mutant (D732A) blocks autophagy in photoreceptor neurons (George et al, 2016). Further experiments to determine whether this mutant, similar to data in mouse neurons, also blocks endocytosis in zebrafish or fruit flies are awaited, but the data are consistent with endocytic defects to precede autophagy. Hence, we propose a direct function of the SAC1 domain in synaptic autophagosome flux by PI(3)P and PI(3,5)P2 dephosphorylation and a potential indirect role of the 5‐phosphatase domain by mediating synaptic endocytosis.

PtdInsP phosphatase enzymes are classic drivers of organelle biogenesis and function since they alter membrane lipid composition and thus which proteins interact with this membrane (Wenk & De Camilli, 2004; Lauwers et al, 2016). The biochemical basis of how Synj1 contributes to endocytosis is relatively well studied. The 5‐phosphatase domain dephosphorylates PI(4,5)P2, thereby lowering the affinity of clathrin adaptors for the membrane of newly formed vesicles and promoting synaptic vesicle uncoating (Cremona et al, 1999; Gad et al, 2000; Verstreken et al, 2003). Our data suggest that the Synj1 SAC1 domain that hydrolyzes PI(3)P, PI(4)P, and PI(3,5)P2 may have a similar “uncoating” role, but acting during the early steps of autophagosome biogenesis. Indeed, it was previously established that the early‐stage autophagosome membrane contains PI(3)P and PI(3,5)P2 and that these phosphoinositides recruit PI(3)P/PI(3,5)P2‐binding proteins, like Atg18a (Simonsen & Tooze, 2009; Noda et al, 2010; Dall'Armi et al, 2013; Proikas‐Cezanne et al, 2015). Here, we observe that synapses expressing SynjRQ accumulate the Atg18aGFP marker of early autophagosomes, but produce far fewer mature Atg8‐positive structures. Furthermore, using in vivo CLEM for neurons expressing Atg18aGFP, we ultrastructurally define that Atg18a is attached to cisternal‐like membrane structures and these are overly abundant within SynjRQ synapses. Finally, live cell imaging shows that Atg18aGFP accumulations are immobilized within presynaptic terminals expressing SynjRQ, suggesting that the Synj SAC1 domain normally promotes Atg18a cycling between soluble and membrane‐bound pools. Note that these data are inconsistent with a direct involvement of the 5‐phosphatase domain (George et al, 2016) as this domain is responsible for the dephosphorylation of phosphoinositide species that Atg18a does not bind to. We therefore propose a model, where Synj‐mediated PI(3)P and PI(3,5)P2 hydrolysis on nascent autophagosomes lowers the affinity for PI(3)P/PI(3,5)P2‐binding proteins, including Atg18a, to release these from the membrane. This mechanism, regulated by the synapse‐enriched Synj, is similar to that thought to be mediated by myotubularin (Ymr1) during autophagy in yeast cells (Cebollero et al, 2012). Interestingly, WIPI2 (the Atg18a homolog) cycling is known to recruit LC3/Atg8 to autophagosomes of non‐neuronal cell types (Polson et al, 2010; Dooley et al, 2014), and thus, Atg18a immobilization can explain why the Synj SAC1 activity is needed for Atg8 accumulation at synapses. Hence, we propose that cycles of Atg18a recruitment followed by Synj SAC1 domain‐dependent shedding allow the recruitment and concentration of Atg8 on the synaptic autophagosomal membrane, explaining why the SynjRQ protein fails to support the production of mature autophagosomes.

This model of Synj1 function has parallels with the roles of the yeast myotubularin Ymr1 and INP52 and INP53 PtdInsP phosphatases in autophagosome biogenesis (Parrish et al, 2004; Cebollero et al, 2012; Cheng et al, 2014), which provides conceptual support to our finding that the PI(3)P phosphatase activity of Synj operates in autophagy at synapses. Given that Synj is presynaptic, we hypothesize that a different PI(3)P/PI(3,5)P2‐hydrolyzing enzyme mediates autophagosome maturation in non‐neuronal animal cells and neuronal cell bodies. In addition, our data do not preclude the possibility that PtdInsP dephosphorylation mediated by the Synj1 SAC1 domain also contributes to other cell biological processes, potentially including endocytosis under certain conditions, but thus far, we have found no evidence for this. It is intriguing to consider the evolutionary consequences of combining 5‐phosphatase and SAC1 domains in Synj proteins throughout the animal kingdom. This is consistent with the idea that both domains contribute to a cell biological process, perhaps acting sequentially to drive multiple stages of organelle maturation. Alternatively, it is possible that the dual roles of Synj allow this protein to couple autophagy to levels of synaptic vesicle cycling, and thus ensure sufficient protein turnover depending on the level of synaptic activity.

Our data connect impaired presynaptic autophagy to PD pathology. This is consistent with the classical concept of abnormal protein homeostasis causing proteopathic stress and driving neurodegenerative disease. However, this role of Synj highlights the concept that protein homeostasis within presynaptic terminals has a particularly important role in these diseases. We demonstrate that the pathogenic R258Q mutation in the presynaptic PD protein SYNJ1 impairs synaptic macroautophagy, and we associate this with neurodegeneration including loss of dopaminergic neurons. Another presynaptic PD protein alpha‐synuclein affects membrane trafficking (Chua & Tang, 2011; Soper et al, 2011), although its roles remain less well defined than those of Synj. The PD proteins Parkin and Pink1 are thought to drive mitophagy, a specialized form of macroautophagy that targets mitochondria for degradation (Narendra et al, 2008; Kawajiri et al, 2010; Vincow et al, 2013). In addition, LRRK2, the most commonly mutated protein in PD, also affects autophagy within synaptic terminals (Soukup et al, 2016). In the case of LRRK2, this appears to occur via the essential presynaptic membrane factor EndophilinA (Soukup et al, 2016) that, interestingly, is a key regulator of Synj activity (Schuske et al, 2003; Verstreken et al, 2003). Future work should continue to examine whether the presynaptic terminal has a unique network of proteins that control macroautophagy, a membrane‐mediated mechanism to clear damaged proteins or organelles. It is important to discover whether mutations in different PD genes indeed converge onto this process and, if so, to consider synaptic autophagy as an important target for development of anti‐PD therapies.

Experimental Procedures

Fly stocks and genetics

Flies were grown on standard cornmeal and molasses medium supplemented with yeast paste at 25°C. The following Drosophila stocks were obtained from the Bloomington Stock Center: w; P{hs‐I‐CreI.R}1A Sb1/TM6, y[1] w[*]; Mi{y[+mDint2]=MIC}Synj[MI11871]/SM6a (Venken et al, 2011). The following fly stocks were obtained from the laboratory where the stock was first described: w;UAS‐mCherry‐Atg8a (Chang & Neufeld, 2009), UAS GFP::Lamp1/CyO;TM6B/Sb bos1 (Pulipparacharuvil et al, 2005), w;;UAS‐PLCd‐PH‐EGFP (Verstreken et al, 2009), yw,eyFLP GMR‐LacZ;FRT42D synj1/CyO, and yw,eyFLP GMR‐LacZ;FRT42D synj2/CyO (Verstreken et al, 2003), w;;atg18a(W3)/TM6b,Hu,Tb and w;;atg18a(W4)/TM6b,Hu,Tb (Shen & Ganetzky, 2009), genomic w;;Atg9HA (G. Juhász, unpublished).

Transgenic flies

A list of fly genotypes used in this study can be found in the Appendix Supplementary Methods section. All constructs were generated using a seamless cloning method (Gibson Assembly, NEB). UAS synjRQ, UAS synjCS, and UAS synj+ were created using gBlocks (Integrated DNA Technologies, Inc.) and PCR products generated using primers listed in the Appendix Supplementary Methods section from CH322‐135G1 P[acman] plasmid [BACPAC Resources Center (BPRC)] (Venken et al, 2006, 2009), cloned into the EcoRI site of pUAST‐attB, sequence‐verified, and inserted into attP site VK37 (22A3) using PhiC31‐mediated integration at BestGene Inc.

synjRQ knock‐in flies were created as described in Vilain et al (2014). Targeting vector MiMIC 1322 pBS‐KS‐attB1‐2 I‐SceI SynjRQ I‐CreI was generated using primers listed in the Appendix Supplementary Methods section from CH322‐135G21 P[acman] plasmid (BPRC) and cloned first into XhoI and PstI sites of pSV004 (containing I‐SceI and I‐CreI sites, see Appendix Supplementary Methods section) followed by restriction with SmaI, gel purification, and cloning into BbsI sites of MiMIC 1322 pBS‐KS‐attB1‐2 vector with an additional linker sequence containing BbsI sites (see Appendix Supplementary Methods section) into XbaI and EcoRI sites. Next, the construct was inserted into flies with Mi{MIC}SynjMI11871 using PhiC31‐mediated integration by in‐house injection. Efficiencies were 30% for integration into the Mi{MIC}SynjMI11871, 15% for desired orientation, and 37% of I‐CreI double‐strand break/repair. After genomic manipulation, the whole locus was sequence‐verified.

UAS GFP::Atg18a, UAS GFP::Atg18b, UAS GFP::CG11975, UAS mEOS3.2::Atg18a, UAS eGFP‐mCherry::Atg8a were created using gBlocks (Integrated DNA Technologies, Inc.) and PCR products generated using primers listed in the Appendix Supplementary Methods section, all Atg18 homologues cDNAs as template were obtained from the Proteomic ORF Collection (Yu et al, 2011) (respectively, LD38705, GH07816, and LD32381), mEOS3.2 was PCR from Addgene plasmid #54550 and cloned into the XhoI site of pUAST‐attB, and Atg8 was cloned in between the EcoRI and XbaI sites of pUAST‐attB. All constructs were sequence‐verified and inserted into attP site VK20 (99F8) using PhiC31‐mediated integration at BestGene Inc or by in‐house injection.

Induction of autophagy by starvation, electrical stimulation, and chloroquine assay

Autophagy induction and flux assay were performed by placing early third‐instar larvae on petri dishes containing 20% sucrose and 1% agarose for 3–4 h prior to experimentation (Scott et al, 2004). Electrical stimulation, 20 Hz for 30 min, to induce autophagy was conducted as described before (Soukup et al, 2016). For the chloroquine assay, we fed third‐instar larvae 4 h on standard and starvation food containing 10 mg/ml chloroquine diphosphate salt (Sigma).

Correlative light and electron microscopic studies (CLEM and TEM)

Correlative light and electron microscopy studies were performed as described in Soukup et al (2016). Before dissection in HL3, larvae were starved for 3–4 h. The samples were directly fixed for 2 h at room temperature in the dark (0.5% glutaraldehyde, 2% paraformaldehyde in 0.1 M phosphate buffer, pH = 7.2), followed by washing steps in 0.1 M phosphate buffer, pH = 7.2. near‐infrared branding (NIRB) was performed on a LSM 710 upright confocal microscope using the bleaching function as described (Urwyler et al, 2015). Before and after NIRB, z‐stacks of the region of interest were acquired. Next, larvae were post‐fixed in 1% glutaraldehyde, 2% paraformaldehyde in 0.1 M phosphate buffer, pH = 7.2 at 4°C overnight or until further processing as described in Fernandes et al (2014). NIRB introduced branding marks were used as a guide to identify Drosophila NMJ boutons previously imaged with the confocal microscope. Electron and fluorescent micrographs overlay, and identification of Atg18aGFP‐positive ultrastructural features and processing of micrographs using brightness and contrast were performed with NIH ImageJ and Adobe Photoshop Elements 14.

TEM studies of larval boutons were performed as described in Kasprowicz et al (2008). Larvae were starved for 3–4 h prior to dissection and fixation. TEM of the adult fly heads was performed as described previously in Slabbaert et al (2016).

Imaging and quantification

For live imaging of Atg8mCherry, Atg8GFP‐mCherry, Atg18aGFP, Atg18bGFP, CG11975GFP, or Lamp1GFP, larvae expressing these markers were dissected in HL3 on sylgard plates and imaged on a Nikon A1R confocal microscope with a 60× NA 1.0 water‐dipping lens. All images were collected with a pinhole of 1 airy unit and a resolution of 1,024 × 1,024. Imaging settings between experiments with the same marker were identical. Images are shown either in grayscale or using a 16‐color lookup table (the LUT is shown in the figure).

Quantification of number of puncta or intensity was performed in NIH ImageJ. Atg8mCherry, Atg8GFP‐mCherry, Atg18aGFP, or CG11975GFP dots were counted using particle analysis of a binary image combined with applying a threshold mask on the cytoplasmic signal to calculate the bouton area. Lamp1GFP fluorescence intensities were measured by first applying a threshold to mark the boutonic areas followed by measuring the average pixel intensities in boutonic areas. The different conditions were blinded before imaging and quantifying the data.

Fluorescence recovery after photobleaching (FRAP) was performed on third‐instar larval fillets dissected in HL3 on sylgard‐coated plates using a protocol adapted from Seabrooke et al (2010). Experiments were conducted on a Nikon A1R confocal microscope with a 60× NA 1.0 water‐dipping lens. Before bleaching, 10 images were acquired to set the pre‐bleach intensity. Next, bleaching (minimum 50% of the pre‐bleach intensity, by two rapidly iterated laser bursts), using a 488‐nm laser, was focused on an Atg18aGFP dot, directly followed by image acquisition for 120 s (60 scans with a 2,12‐s interval). The fluorescence intensity of the selected Atg18aGFP dot was analyzed in NIH ImageJ.

Photoconversion of mEOS3.2 was performed on third‐instar larval fillets dissected in HL3 on sylgard‐coated plates; next, nerves were cut in HL3 with NAS (100 μM) followed by mounting the larval prep on a glass slide in HL3 with NAS. Experiments were conducted on a Nikon A1R confocal microscope with a 60× NA1.4 oil lens; all images were collected with an open pinhole and a resolution of 1,024 × 1,024. Images of the Atg18amEOS3.2 dot of interest were taken before, directly after, and 5 and 10 min after photoconversion (conducted using a 405‐nm laser) of the neighboring bouton. The fluorescence intensity of the selected Atg18amEOS3.2 dot was analyzed in NIH ImageJ.

Single‐particle tracking photoactivation localization microscopy (sptPALM)

SptPALM was carried out on transgenic Atg18amEOS3.2 third‐instar Drosophila larvae dissected on sylgard base as previously described (Bademosi et al, 2017). Briefly, Atg18amEOS3.2 was imaged at the larva NMJ on muscles 6 and 7 of the second abdominal segments, using total internal reflection (TIRF) microscopy under oblique illumination. Dissected larvae on the sylgard base were inverted onto glass‐bottomed imaging dishes (In Vitro Scientific). Localization and tracking of single Atg18amEOS3.2 molecules were carried out using a 63× water‐immersion objective (1.2 numerical aperture, C‐Apochromat) on the ELYRA PS.1 microscope (Zeiss). NMJs were located using 488‐nm laser (18.72 mW) illumination. A 405‐nm laser (0.6 mW) was used for photoconversion, while imaging of photoconverted Atg18amEOS3.2 molecules was done using 561‐nm laser (20.6 mW) to spatially visualize and temporally distinguish individual molecules (405‐nm laser was used at 0.009–0.3% power, while 75% power was used for 561 nm). Single‐molecule fluorescence was collected by a sensitive electron‐multiplying charge‐coupled device (EMCCD) camera (Evolve, Photometric). Zen Black acquisition software (2012 version, Carl Zeiss) was used for movie acquisition. Images were captured at 33 Hz and 15,000 frames were obtained per NMJ. sptPALM analysis is described in Appendix Supplementary Methods section.

Complete starvation

Complete starvation assay was performed as described in Juhász et al (2007), briefly 1‐day‐old fed flies were transferred to vials containing a gel of water (1% agarose in water) and transferred to a new vial every day. Dead flies were counted manually multiple times a day.

Light‐induced degeneration

Light‐induced retinal degeneration studies were performed by rearing flies for 7 days in constant illumination at 1,300 lux and 25°C (Soukup et al, 2013).

Visualization of TH‐positive neuronal clusters after aging adult flies

Aging and visualization of dopaminergic clusters was performed by aging 1‐ to 3‐day‐old adult flies for an additional 30 days at 25°C (flies were placed on fresh medium every 3 days). At day 30, fly brains were dissected and stained (see immunohistochemistry). Images of dopaminergic clusters (labeled by the anti‐TH antibody) were captured with a Nikon A1R confocal microscope using a 20× objective 0.75 NA (Nikon). The total number of TH‐positive neurons throughout the brain and in both hemispheres for the PPM1, PPM2, PPM3, and PPL1 clusters was counted manually.

Neural progenitor differentiation

The iPSCs (generation and karyotyping described in Appendix Supplementary Methods and Appendix Table S1) were grown on irradiated MEFs and cultured in normal iPSC medium (DMEM/F12 Advanced (Gibco Life Technologies) supplemented with 20% KOSR, 2 mM l‐glutamine, 0.1 mM MEM‐NEAA, 0.1 mM 2‐mercaptoethanol, 100 units/ml penicillin/streptomycin (all from Life Technologies)) and 10 ng/ml bFGF (Perprotech) at 37°C/5% CO2. Medium was changed daily and cells were passaged every 4–6 days either mechanically or enzymatically with collagenase type IV (100 U/ml) (Life Technologies), and addition of 10 μM ROCK inhibitor (Sigma) to the medium after passaging.

Neural progenitor cells (NPCs) were created according to published protocols (de Esch et al, 2014; Gunhanlar et al, 2017) with minor modifications. Briefly, for embryoid body (EB) generation, iPSCs were dissociated and transferred to non‐adherent plates in normal iPSC medium without bFGF and cultured on a shaker at 37°C/5% CO2. After 2 days in vitro (DIV), medium was replaced by neural induction medium (DMEM/F12 Advanced, 1:100 N2 supplement, 100 units/ml penicillin/streptomycin (all from Life Technologies) and 2 μg/ml heparin (Sigma)). After 7 DIV, the EBs were partially dissociated and plated on laminin‐coated culture dishes in neural induction medium.

Neural progenitor cells growing out of the attached EB fragments were cultured for 8 DIV at 37°C/5% CO2, and medium was changed every other day. Subsequently, the NPCs were split between 1:2 and 1:6 with collagenase every 5–7 days and cultured on laminin (Sigma)‐coated plates. The NPCs were maintained in NPC medium [DMEM/F12 Advanced, 1:100 N2 supplement, 1:50 B27‐RA supplement, 100 units/ml penicillin/streptomycin (all from Life Technologies), 1 μg/ml laminin (Sigma), and 20 ng/ml bFGF (Preprotech)].

Neural differentiation

Neural progenitor cells were passaged 1:1 to poly‐D‐lysine (PDL) (Sigma)‐ and laminin (Sigma)‐coated coverslips and cultured in neural differentiation medium [Neurobasal medium supplemented with 1:100 N2 supplement, 1:50 B27 supplement, 0.1 mM MEM‐NEAA, 100 units/ml penicillin/streptomycin (all from Life Technologies), 20 ng/ml BDNF (ProspecBio), 20 ng/ml GDNF (ProspecBio), 1 μM db‐cAMP (Sigma), 200 μM ascorbic acid (Sigma), and 2 μg/ml laminin (Sigma)]. The differentiating cells were cultured for 28 DIV at 37°C/5% CO2, and medium was changed every other day.

Neuron starvation

At 28 DIV, neurons were either incubated for 3 h in neural differentiation medium supplemented with 100 μM leupeptin (Roche) for the control condition, or in preconditioned EBSS (Life Technologies) supplemented with 100 μM leupeptin (Roche) for the starved condition.

Statistics

GraphPad Prism 6 (San Diego, USA.) was used to determine statistical significance. Prior to this, datasets were tested for normal distribution using a D'Agostino–Pearson Omnibus test. Next, normally distributed data were tested with parametric tests: Student's t‐test was used when two datasets were compared and we used a one‐way analysis of variance test (ANOVA) followed by a post hoc Tukey test when more than two datasets were compared. Non‐normally distributed data were tested using non‐parametric tests: when comparing two datasets, we used a Mann–Whitney test, and when comparing more than two datasets, we used an ANOVA Kruskal–Wallis test followed by a Dunn's post hoc test. Significance levels are defined as ****P < 0.0001, ***P < 0.001, **P < 0.01, *P < 0.05, ns (not significant) = P > 0.05. “n” in the legends indicates either the number of animals used or the number of NMJs analyzed.

Author contributions

RV, SFS, and PV conceived the study. RV, SFS, and PV analyzed data and wrote the paper. RV, SK, RM, AB, JM, NS, LB, SG, JS, SV, MP, PB, STM, FMSdV, SAK, NVG, WM, VB, FAM, SFS, and PV performed experiments and/or provided reagents, and NS performed the in‐house injection. All the authors approved the final version of the manuscript.

Conflict of interest

The authors declare that they have no conflict of interest.

Expanded View

Appendix [embj201695773-sup-0001-Appendix.pdf]

Video EV1 [embj201695773-sup-0002-VideoEV1.zip]

Acknowledgements

We thank T. Neufeld, H. Krämer, G. Juhász, and B. Ganetzky, the Bloomington Drosophila Stock Center the Developmental Studies Hybridoma bank for reagents and the VIB Bio‐imaging core Leuven for help and BestGene Inc for Drosophila embryo Injections. We thank Mehrnaz Ghazvini and Joost Gribnau from the Erasmus MC iPS core facility for generation of the iPSC lines, Bruno Van Swinderen (Queensland Brain Institute, The University of Queensland) for use of his fly facility and insightful discussions. We especially thank Rose Goodchild for excellent discussions throughout the study, Willem Van den Bergh for additional in‐house injections, and Liesbeth Deaulmerie and the Verstreken laboratory members for help and consultation. Research support was provided by a Flanders Innovation Agency (IWT) Fellowship to RV (121324), KU Leuven (CREA, GOA), ERC CoG (646671), the Research Foundation Flanders (FWO grants G088515N, G094915N, G0D3317N, G0D3417N), the Hercules Foundation, the Interuniversity Attraction Pole program by BELSPO (P7/16), a Methusalem grant of the Flemish government, VIB, the Vlaamse Parkinson Liga, the Stichting ParkinsonFonds (the Netherlands), the Dorpmans‐Wigmans Stichting, an Erasmus MC MRace promotie grant to VB and WM, the EU Joint Programme—Neurodegenerative Disease Research (JPND) Memorabel (733051065) supported by the Nederlandse organisatie voor gezondheidsonderzoek en zorginnovatie (ZonMw) under the aegis of JPND to VB and an Hersenstichting Fellowship to FdV, the National Health and Medical Research Council (NHMRC) project grant (GNT1120381 to FAM) and Australian Research Council LIEF Grants (LE0882864 and LE130100078 to FAM). FAM is a National Health and Medical Research Council Senior Research Fellow (GNT1060075).

Funding

KU Leuvenhttp://dx.doi.org/10.13039/501100004040
Hercules Foundation
BELSPOhttp://dx.doi.org/10.13039/501100002749 P7/16
Flemish governmenthttp://dx.doi.org/10.13039/501100002913
Vlaams Instituut voor Biotechnologie (VIB)http://dx.doi.org/10.13039/501100004727
Vlaamse Parkinson Liga
Dorpmans‐Wigmans Stichting
Neurodegenerative Disease Research (JPND) 733051065
Agentschap voor Innovatie door Wetenschap en Technologie (IWT)http://dx.doi.org/10.13039/501100003132 121324
Fonds Wetenschappelijk Onderzoek (FWO)http://dx.doi.org/10.13039/501100003130 G088515NG094915NG0D3317NG0D3417N
H2020 Priority Excellent Science|H2020 European Research Council (ERC)http://dx.doi.org/10.13039/100010663 646671
Erasmus Medisch Centrum (Erasmus MC)http://dx.doi.org/10.13039/501100003061
ZonMw (Netherlands Organisation for Health Research and Development)http://dx.doi.org/10.13039/501100001826 733051065
Hersenstichting (Hersenstichting Nederland)http://dx.doi.org/10.13039/501100008358
Stichting ParkinsonFondshttp://dx.doi.org/10.13039/501100008383
National Health and Medical Research Council (NHMRC)http://dx.doi.org/10.13039/501100000925 GNT1120381GNT1060075
Australian Research Councilhttp://dx.doi.org/10.13039/501100000923 LE00882864LE130100078

References

  1. ↵
    Bademosi AT, Lauwers E, Padmanabhan P, Odierna L, Chai YJ, Papadopulos A, Goodhill GJ, Verstreken P, van Swinderen B, Meunier FA (2017) In vivo single‐molecule imaging of syntaxin1A reveals polyphosphoinositide‐ and activity‐dependent trapping in presynaptic nanoclusters. Nat Commun 8: 13660
    OpenUrl
  2. ↵
    Baskaran S, Ragusa MJ, Boura E, Hurley JH (2012) Two‐site recognition of phosphatidylinositol 3‐phosphate by PROPPINs in autophagy. Mol Cell 47: 339–348
    OpenUrlCrossRefPubMed
  3. ↵
    Burke RE, O'Malley K (2013) Axon degeneration in Parkinson's disease. Exp Neurol 246: 72–83
    OpenUrlCrossRefPubMed
  4. ↵
    Burman C, Ktistakis NT (2010) Regulation of autophagy by phosphatidylinositol 3‐phosphate. FEBS Lett 584: 1302–1312
    OpenUrlCrossRefPubMedWeb of Science
  5. ↵
    Cebollero E, van der Vaart A, Zhao M, Rieter E, Klionsky DJ, Helms JB, Reggiori F (2012) Phosphatidylinositol‐3‐phosphate clearance plays a key role in autophagosome completion. Curr Biol 22: 1545–1553
    OpenUrlCrossRefPubMed
  6. ↵
    Chang Y‐Y, Neufeld TP (2009) An Atg1/Atg13 complex with multiple roles in TOR‐mediated autophagy regulation. Mol Biol Cell 20: 2004–2014
    OpenUrlAbstract/FREE Full Text
  7. ↵
    Cheng J, Fujita A, Yamamoto H, Tatematsu T, Kakuta S, Obara K, Ohsumi Y, Fujimoto T (2014) Yeast and mammalian autophagosomes exhibit distinct phosphatidylinositol 3‐phosphate asymmetries. Nat Commun 5: 3207
    OpenUrlCrossRefPubMed
  8. ↵
    Chi C, Zhu H, Han M, Zhuang Y, Wu X, Xu T (2010) Disruption of lysosome function promotes tumor growth and metastasis in Drosophila. J Biol Chem 285: 21817–21823
    OpenUrlAbstract/FREE Full Text
  9. ↵
    Chua CEL, Tang BL (2011) Rabs, SNAREs and α‐synuclein–membrane trafficking defects in synucleinopathies. Brain Res Rev 67: 268–281
    OpenUrlCrossRefPubMed
  10. ↵
    Cremona O, Di Paolo G, Wenk MR, Lüthi A, Kim WT, Takei K, Daniell L, Nemoto Y, Shears SB, Flavell RA, McCormick DA, De Camilli P (1999) Essential role of phosphoinositide metabolism in synaptic vesicle recycling. Cell 99: 179–188
    OpenUrlCrossRefPubMedWeb of Science
  11. ↵
    Dall'Armi C, Devereaux KA, Di Paolo G (2013) The role of lipids in the control of autophagy. Curr Biol 23: R33–R45
    OpenUrlCrossRefPubMed
  12. ↵
    Devereaux K, Dall'Armi C, Alcazar‐Roman A, Ogasawara Y, Zhou X, Wang F, Yamamoto A, De Camilli P, Di Paolo G (2013) Regulation of mammalian autophagy by class II and III PI 3‐kinases through PI3P synthesis. PLoS One 8: e76405
    OpenUrlCrossRefPubMed
  13. ↵
    DeVorkin L, Gorski SM (2014) Monitoring autophagy in Drosophila using fluorescent reporters in the UAS‐GAL4 system. Cold Spring Harb Protoc 2014: pdb.prot080341
  14. ↵
    Di Paolo G, De Camilli P (2006) Phosphoinositides in cell regulation and membrane dynamics. Nature 443: 651–657
    OpenUrlCrossRefPubMedWeb of Science
  15. ↵
    Dickman DK, Lu Z, Meinertzhagen IA, Schwarz TL (2006) Altered synaptic development and active zone spacing in endocytosis mutants. Curr Biol 16: 591–598
    OpenUrlCrossRefPubMedWeb of Science
  16. ↵
    Dooley HC, Razi M, Polson HEJ, Girardin SE, Wilson MI, Tooze SA (2014) WIPI2 links LC3 conjugation with PI3P, autophagosome formation, and pathogen clearance by recruiting Atg12‐5‐16L1. Mol Cell 55: 238–252
    OpenUrlCrossRefPubMedWeb of Science
  17. ↵
    de Esch CEF, Ghazvini M, Loos F, Schelling‐Kazaryan N, Widagdo W, Munshi ST, van der Wal E, Douben H, Gunhanlar N, Kushner SA, Pijnappel WWMP, de Vrij FMS, Geijsen N, Gribnau J, Willemsen R (2014) Epigenetic characterization of the FMR1 promoter in induced pluripotent stem cells from human fibroblasts carrying an unmethylated full mutation. Stem Cell Reports 3: 548–555
    OpenUrlCrossRefPubMed
  18. ↵
    Fernandes AC, Uytterhoeven V, Kuenen S, Wang Y‐C, Slabbaert JR, Swerts J, Kasprowicz J, Aerts S, Verstreken P (2014) Reduced synaptic vesicle protein degradation at lysosomes curbs TBC1D24/sky‐induced neurodegeneration. J Cell Biol 207: 453–462
    OpenUrlAbstract/FREE Full Text
  19. ↵
    Gad H, Ringstad N, Löw P, Kjaerulff O, Gustafsson J, Wenk M, Di Paolo G, Nemoto Y, Crun J, Ellisman MH, De Camilli P, Shupliakov O, Brodin L (2000) Fission and uncoating of synaptic clathrin‐coated vesicles are perturbed by disruption of interactions with the SH3 domain of endophilin. Neuron 27: 301–312
    OpenUrlCrossRefPubMedWeb of Science
  20. ↵
    George AA, Hayden S, Stanton GR, Brockerhoff SE (2016) Arf6 and the 5′ phosphatase of synaptojanin 1 regulate autophagy in cone photoreceptors. Inside Cell 1: 117–133
    OpenUrl
  21. ↵
    Gunhanlar N, Shpak G, van der Kroeg M, Gouty‐Colomer LA, Munshi ST, Lendemeijer B, Ghazvini M, Dupont C, Hoogendijk WJ, Gribnau J, de Vrij FMS, Kushner SA (2017) A simplified protocol for differentiation of electrophysiologically mature neuronal networks from human induced pluripotent stem cells. Mol Psychiatry in press. doi: 10.1038/mp.2017.56.
    OpenUrlCrossRef
  22. ↵
    Guo S, Stolz LE, Lemrow SM, York JD (1999) SAC1‐like domains of yeast SAC1, INP52, and INP53 and of human synaptojanin encode polyphosphoinositide phosphatases. J Biol Chem 274: 12990–12995
    OpenUrlAbstract/FREE Full Text
  23. ↵
    Harris TW, Hartwieg E, Horvitz HR, Jorgensen EM (2000) Mutations in synaptojanin disrupt synaptic vesicle recycling. J Cell Biol 150: 589–600
    OpenUrlAbstract/FREE Full Text
  24. ↵
    He C, Song H, Yorimitsu T, Monastyrska I, Yen W‐L, Legakis JE, Klionsky DJ (2006) Recruitment of Atg9 to the preautophagosomal structure by Atg11 is essential for selective autophagy in budding yeast. J Cell Biol 175: 925–935
    OpenUrlAbstract/FREE Full Text
  25. ↵
    Heidelberger R, Thoreson WB, Witkovsky P (2005) Synaptic transmission at retinal ribbon synapses. Prog Retin Eye Res 24: 682–720
    OpenUrlCrossRefPubMedWeb of Science
  26. ↵
    Hernandez D, Torres CA, Setlik W, Cebrián C, Mosharov EV, Tang G, Cheng HC, Kholodilov N, Yarygina O, Burke RE, Gershon M, Sulzer D (2012) Regulation of presynaptic neurotransmission by macroautophagy. Neuron 74: 277–284
    OpenUrlCrossRefPubMedWeb of Science
  27. ↵
    Hyttinen JMT, Niittykoski M, Salminen A, Kaarniranta K (2013) Maturation of autophagosomes and endosomes: a key role for Rab7. Biochim Biophys Acta 1833: 503–510
    OpenUrlCrossRef
  28. ↵
    Jäger S, Bucci C, Tanida I, Ueno T, Kominami E, Saftig P, Eskelinen E‐L (2004) Role for Rab7 in maturation of late autophagic vacuoles. J Cell Sci 117: 4837–4848
    OpenUrlAbstract/FREE Full Text
  29. ↵
    Juhász G, Erdi B, Sass M, Neufeld TP (2007) Atg7‐dependent autophagy promotes neuronal health, stress tolerance, and longevity but is dispensable for metamorphosis in Drosophila. Genes Dev 21: 3061–3066
    OpenUrlAbstract/FREE Full Text
  30. ↵
    Juhász G, Hill JH, Yan Y, Sass M, Baehrecke EH, Backer JM, Neufeld TP (2008) The class III PI(3)K Vps34 promotes autophagy and endocytosis but not TOR signaling in Drosophila. J Cell Biol 181: 655–666
    OpenUrlAbstract/FREE Full Text
  31. ↵
    Kabeya Y, Mizushima N, Ueno T, Yamamoto A, Kirisako T, Noda T, Kominami E, Ohsumi Y, Yoshimori T (2000) LC3, a mammalian homologue of yeast Apg8p, is localized in autophagosome membranes after processing. EMBO J 19: 5720–5728
    OpenUrlAbstract/FREE Full Text
  32. ↵
    Kasprowicz J, Kuenen S, Miskiewicz K, Habets RLP, Smitz L, Verstreken P (2008) Inactivation of clathrin heavy chain inhibits synaptic recycling but allows bulk membrane uptake. J Cell Biol 182: 1007–1016
    OpenUrlAbstract/FREE Full Text
  33. ↵
    Kawajiri S, Saiki S, Sato S, Sato F, Hatano T, Eguchi H, Hattori N (2010) PINK1 is recruited to mitochondria with parkin and associates with LC3 in mitophagy. FEBS Lett 584: 1073–1079
    OpenUrlCrossRefPubMedWeb of Science
  34. ↵
    Kirola L, Behari M, Shishir C, Thelma BK (2016) Identification of a novel homozygous mutation Arg459Pro in SYNJ1 gene of an Indian family with autosomal recessive juvenile Parkinsonism. Parkinsonism Relat Disord 31: 124–128
    OpenUrl
  35. ↵
    Klein C, Westenberger A (2012) Genetics of Parkinson's disease. Cold Spring Harb Perspect Med 2: a008888
    OpenUrlAbstract/FREE Full Text
  36. ↵
    Komatsu M, Waguri S, Chiba T, Murata S, Iwata J, Tanida I, Ueno T, Koike M, Uchiyama Y, Kominami E, Tanaka K (2006) Loss of autophagy in the central nervous system causes neurodegeneration in mice. Nature 441: 880–884
    OpenUrlCrossRefPubMedWeb of Science
  37. ↵
    Krebs CE, Karkheiran S, Powell JC, Cao M, Makarov V, Darvish H, Di Paolo G, Walker RH, Shahidi GA, Buxbaum JD, De Camilli P, Yue Z, Paisán‐Ruiz C (2013) The Sac1 domain of SYNJ1 identified mutated in a family with early‐onset progressive Parkinsonism with generalized seizures. Hum Mutat 34: 1200–1207
    OpenUrlCrossRefPubMed
  38. ↵
    Lauwers E, Goodchild R, Verstreken P (2016) Membrane lipids in presynaptic function and disease. Neuron 90: 11–25
    OpenUrl
  39. ↵
    Lepeta K, Lourenco MV, Schweitzer BC, Martino Adami PV, Banerjee P, Catuara‐Solarz S, de La Fuente Revenga M, Guillem AM, Haidar M, Ijomone OM, Nadorp B, Qi L, Perera ND, Refsgaard LK, Reid KM, Sabbar M, Sahoo A, Schaefer N, Sheean RK, Suska A et al (2016) Synaptopathies: synaptic dysfunction in neurological disorders—A review from students to students. J Neurochem 138: 785–805
    OpenUrl
  40. ↵
    Maday S, Holzbaur ELF (2014) Autophagosome biogenesis in primary neurons follows an ordered and spatially regulated pathway. Dev Cell 30: 71–85
    OpenUrlCrossRefPubMed
  41. ↵
    Mani M, Lee SY, Lucast L, Cremona O, Di Paolo G, De Camilli P, Ryan TA (2007) The dual phosphatase activity of synaptojanin1 is required for both efficient synaptic vesicle endocytosis and reavailability at nerve terminals. Neuron 56: 1004–1018
    OpenUrlCrossRefPubMedWeb of Science
  42. ↵
    Marat AL, Haucke V (2016) Phosphatidylinositol 3‐phosphates‐at the interface between cell signalling and membrane traffic. EMBO J 35: 561–579
    OpenUrlAbstract/FREE Full Text
  43. ↵
    Marzella L, Ahlberg J, Glaumann H (1982) Isolation of autophagic vacuoles from rat liver: morphological and biochemical characterization. J Cell Biol 93: 144–154
    OpenUrlAbstract/FREE Full Text
  44. ↵
    McPherson PS, Garcia EP, Slepnev VI, David C, Zhang X, Grabs D, Sossin WS, Bauerfeind R, Nemoto Y, De Camilli P (1996) A presynaptic inositol‐5‐phosphatase. Nature 379: 353–357
    OpenUrlCrossRefPubMedWeb of Science
  45. ↵
    Narendra D, Tanaka A, Suen D‐F, Youle RJ (2008) Parkin is recruited selectively to impaired mitochondria and promotes their autophagy. J Cell Biol 183: 795–803
    OpenUrlAbstract/FREE Full Text
  46. ↵
    Noda T, Matsunaga K, Taguchi‐Atarashi N, Yoshimori T (2010) Regulation of membrane biogenesis in autophagy via PI3P dynamics. Semin Cell Dev Biol 21: 671–676
    OpenUrlCrossRefPubMed
  47. ↵
    Olgiati S, De Rosa A, Quadri M, Criscuolo C, Breedveld GJ, Picillo M, Pappatà S, Quarantelli M, Barone P, De Michele G, Bonifati V (2014) PARK20 caused by SYNJ1 homozygous Arg258Gln mutation in a new Italian family. Neurogenetics 15: 183–188
    OpenUrlCrossRefPubMedWeb of Science
  48. ↵
    Parrish WR, Stefan CJ, Emr SD (2004) Essential role for the myotubularin‐related phosphatase Ymr1p and the synaptojanin‐like phosphatases Sjl2p and Sjl3p in regulation of phosphatidylinositol 3‐phosphate in yeast. Mol Biol Cell 15: 3567–3579
    OpenUrlAbstract/FREE Full Text
  49. ↵
    Paus T, Pesaresi M, French L (2014) White matter as a transport system. Neuroscience 276: 117–125
    OpenUrlCrossRefPubMed
  50. ↵
    Polson HEJ, de Lartigue J, Rigden DJ, Reedijk M, Urbé S, Clague MJ, Tooze SA (2010) Mammalian Atg18 (WIPI2) localizes to omegasome‐anchored phagophores and positively regulates LC3 lipidation. Autophagy 6: 506–522
    OpenUrlCrossRefPubMed
  51. ↵
    Proikas‐Cezanne T, Takacs Z, Dönnes P, Kohlbacher O (2015) WIPI proteins: essential PtdIns3P effectors at the nascent autophagosome. J Cell Sci 128: 207–217
    OpenUrlAbstract/FREE Full Text
  52. ↵
    Pulipparacharuvil S, Akbar MA, Ray S, Sevrioukov EA, Haberman AS, Rohrer J, Krämer H (2005) Drosophila Vps16A is required for trafficking to lysosomes and biogenesis of pigment granules. J Cell Sci 118: 3663–3673
    OpenUrlAbstract/FREE Full Text
  53. ↵
    Puri C, Renna M, Bento CF, Moreau K, Rubinsztein DC (2013) Diverse autophagosome membrane sources coalesce in recycling endosomes. Cell 154: 1285–1299
    OpenUrlCrossRefPubMedWeb of Science
  54. ↵
    Quadri M, Fang M, Picillo M, Olgiati S, Breedveld GJ, Graafland J, Wu B, Xu F, Erro R, Amboni M, Pappatà S, Quarantelli M, Annesi G, Quattrone A, Chien HF, Barbosa ER, International Parkinsonism Genetics Network , Oostra BA, Barone P, Wang J et al (2013) Mutation in the SYNJ1 gene associated with autosomal recessive, early‐onset Parkinsonism. Hum Mutat 34: 1208–1215
    OpenUrlCrossRefPubMed
  55. ↵
    Ramaswami M, Krishnan KS, Kelly RB (1994) Intermediates in synaptic vesicle recycling revealed by optical imaging of Drosophila neuromuscular junctions. Neuron 13: 363–375
    OpenUrlCrossRefPubMedWeb of Science
  56. ↵
    Schirinzi T, Madeo G, Martella G, Maltese M, Picconi B, Calabresi P, Pisani A (2016) Early synaptic dysfunction in Parkinson's disease: insights from animal models. Mov Disord 31: 802–813
    OpenUrl
  57. ↵
    Schuske KR, Richmond JE, Matthies DS, Davis WS, Runz S, Rube DA, van der Bliek AM, Jorgensen EM (2003) Endophilin is required for synaptic vesicle endocytosis by localizing synaptojanin. Neuron 40: 749–762
    OpenUrlCrossRefPubMedWeb of Science
  58. ↵
    Scott RC, Schuldiner O, Neufeld TP (2004) Role and regulation of starvation‐induced autophagy in the Drosophila fat body. Dev Cell 7: 167–178
    OpenUrlCrossRefPubMedWeb of Science
  59. ↵
    Seabrooke S, Qiu X, Stewart BA (2010) Nonmuscle Myosin II helps regulate synaptic vesicle mobility at the Drosophila neuromuscular junction. BMC Neurosci 11: 37
    OpenUrlCrossRefPubMed
  60. ↵
    Selkoe DJ (2002) Alzheimer's disease is a synaptic failure. Science 298: 789–791
    OpenUrlAbstract/FREE Full Text
  61. ↵
    Shen W, Ganetzky B (2009) Autophagy promotes synapse development in Drosophila. J Cell Biol 187: 71–79
    OpenUrlAbstract/FREE Full Text
  62. ↵
    Simonsen A, Tooze SA (2009) Coordination of membrane events during autophagy by multiple class III PI3‐kinase complexes. J Cell Biol 186: 773–782
    OpenUrlAbstract/FREE Full Text
  63. ↵
    Slabbaert JR, Kuenen S, Swerts J, Maes I, Uytterhoeven V, Kasprowicz J, Fernandes AC, Blust R, Verstreken P (2016) Shawn, the Drosophila homolog of SLC25A39/40, is a mitochondrial carrier that promotes neuronal survival. J Neurosci 36: 1914–1929
    OpenUrlAbstract/FREE Full Text
  64. ↵
    Soper JH, Kehm V, Burd CG, Bankaitis VA, Lee VM‐Y (2011) Aggregation of α‐synuclein in S. cerevisiae is associated with defects in endosomal trafficking and phospholipid biosynthesis. J Mol Neurosci 43: 391–405
    OpenUrlCrossRefPubMed
  65. ↵
    Soukup S‐F, Pocha SM, Yuan M, Knust E (2013) DLin‐7 is required in postsynaptic lamina neurons to prevent light‐induced photoreceptor degeneration in Drosophila. Curr Biol 23: 1349–1354
    OpenUrlCrossRefPubMed
  66. ↵
    Soukup S‐F, Kuenen S, Vanhauwaert R, Manetsberger J, Hernández‐Díaz S, Swerts J, Schoovaerts N, Vilain S, Gounko NV, Vints K, Geens A, De Strooper B, Verstreken P (2016) A LRRK2‐dependent endophilina phosphoswitch is critical for macroautophagy at presynaptic terminals. Neuron 92: 829–844
    OpenUrl
  67. ↵
    Stauber WT, Hedge AM, Trout JJ, Schottelius BA (1981) Inhibition of lysosomal function in red and white skeletal muscles by chloroquine. Exp Neurol 71: 295–306
    OpenUrlCrossRefPubMedWeb of Science
  68. ↵
    Stavoe AKH, Hill SE, Hall DH, Colón‐Ramos DA (2016) KIF1A/UNC‐104 transports ATG‐9 to regulate neurodevelopment and autophagy at synapses. Dev Cell 38: 171–185
    OpenUrlCrossRefPubMed
  69. ↵
    Tamura H, Shibata M, Koike M, Sasaki M, Uchiyama Y (2010) Atg9A protein, an autophagy‐related membrane protein, is localized in the neurons of mouse brains. J Histochem Cytochem 58: 443–453
    OpenUrlAbstract/FREE Full Text
  70. ↵
    Thomas B, Beal MF (2007) Parkinson's disease. Hum Mol Genet 16 Spec No: R183–R194
  71. ↵
    Tsujishita Y, Guo S, Stolz LE, York JD, Hurley JH (2001) Specificity determinants in phosphoinositide dephosphorylation: crystal structure of an archetypal inositol polyphosphate 5‐phosphatase. Cell 105: 379–389
    OpenUrlCrossRefPubMedWeb of Science
  72. ↵
    Ueda Y (2014) The role of phosphoinositides in synapse function. Mol Neurobiol 50: 821–838
    OpenUrl
  73. ↵
    Urwyler O, Izadifar A, Dascenco D, Petrovic M, He H, Ayaz D, Kremer A, Lippens S, Baatsen P, Guérin CJ, Schmucker D (2015) Investigating CNS synaptogenesis at single‐synapse resolution by combining reverse genetics with correlative light and electron microscopy. Development 142: 394–405
    OpenUrlAbstract/FREE Full Text
  74. ↵
    Van Epps HA, Yim CM, Hurley JB, Brockerhoff SE (2001) Investigations of photoreceptor synaptic transmission and light adaptation in the zebrafish visual mutant nrc. Invest Ophthalmol Vis Sci 42: 868–874
    OpenUrlAbstract/FREE Full Text
  75. ↵
    Van Epps HA, Hayashi M, Lucast L, Stearns GW, Hurley JB, De Camilli P, Brockerhoff SE (2004) The zebrafish nrc mutant reveals a role for the polyphosphoinositide phosphatase synaptojanin 1 in cone photoreceptor ribbon anchoring. J Neurosci 24: 8641–8650
    OpenUrlAbstract/FREE Full Text
  76. ↵
    Vanhauwaert R, Verstreken P (2015) Flies with Parkinson's disease. Exp Neurol 274: 42–51
    OpenUrl
  77. ↵
    Verstreken P, Kjaerulff O, Lloyd TE, Atkinson R, Zhou Y, Meinertzhagen IA, Bellen HJ (2002) Endophilin mutations block clathrin‐mediated endocytosis but not neurotransmitter release. Cell 109: 101–112
    OpenUrlCrossRefPubMedWeb of Science
  78. ↵
    Verstreken P, Koh T‐W, Schulze KL, Zhai RG, Hiesinger PR, Zhou Y, Mehta SQ, Cao Y, Roos J, Bellen HJ (2003) Synaptojanin is recruited by endophilin to promote synaptic vesicle uncoating. Neuron 40: 733–748
    OpenUrlCrossRefPubMedWeb of Science
  79. ↵
    Venken KJT, He Y, Hoskins RA, Bellen HJ (2006) P[acman]: a BAC transgenic platform for targeted insertion of large DNA fragments in D. melanogaster. Science 314: 1747–1751
    OpenUrlAbstract/FREE Full Text
  80. ↵
    Venken KJT, Carlson JW, Schulze KL, Pan H, He Y, Spokony R, Wan KH, Koriabine M, de Jong PJ, White KP, Bellen HJ, Hoskins RA (2009) Versatile P[acman] BAC libraries for transgenesis studies in Drosophila melanogaster. Nat Methods 6: 431–434
    OpenUrlCrossRefPubMedWeb of Science
  81. ↵
    Verstreken P, Ohyama T, Haueter C, Habets RLP, Lin YQ, Swan LE, Ly CV, Venken KJT, De Camilli P, Bellen HJ (2009) Tweek, an evolutionarily conserved protein, is required for synaptic vesicle recycling. Neuron 63: 203–215
    OpenUrlCrossRefPubMedWeb of Science
  82. ↵
    Venken KJT, Schulze KL, Haelterman NA, Pan H, He Y, Evans‐Holm M, Carlson JW, Levis RW, Spradling AC, Hoskins RA, Bellen HJ (2011) MiMIC: a highly versatile transposon insertion resource for engineering Drosophila melanogaster genes. Nat Methods 8: 737–743
    OpenUrlCrossRefPubMedWeb of Science
  83. ↵
    Vilain S, Vanhauwaert R, Maes I, Schoovaerts N, Zhou L, Soukup S, da Cunha R, Lauwers E, Fiers M, Verstreken P (2014) Fast and efficient Drosophila melanogaster gene knock‐ins using MiMIC transposons. G3 (Bethesda) 4: 2381–2387
    OpenUrl
  84. ↵
    Vincow ES, Merrihew G, Thomas RE, Shulman NJ, Beyer RP, MacCoss MJ, Pallanck LJ (2013) The PINK1‐Parkin pathway promotes both mitophagy and selective respiratory chain turnover in vivo. Proc Natl Acad Sci USA 110: 6400–6405
    OpenUrlAbstract/FREE Full Text
  85. ↵
    Wang T, Martin S, Papadopulos A, Harper CB, Mavlyutov TA, Niranjan D, Glass NR, Cooper‐White JJ, Sibarita J‐B, Choquet D, Davletov B, Meunier FA (2015) Control of autophagosome axonal retrograde flux by presynaptic activity unveiled using botulinum neurotoxin type a. J Neurosci 35: 6179–6194
    OpenUrlAbstract/FREE Full Text
  86. ↵
    Wang T, Martin S, Nguyen TH, Harper CB, Gormal RS, Martínez‐Mármol R, Karunanithi S, Coulson EJ, Glass NR, Cooper‐White JJ, van Swinderen B, Meunier FA (2016) Flux of signalling endosomes undergoing axonal retrograde transport is encoded by presynaptic activity and TrkB. Nat Commun 7: 12976
    OpenUrlCrossRef
  87. ↵
    Wenk MR, De Camilli P (2004) Protein‐lipid interactions and phosphoinositide metabolism in membrane traffic: insights from vesicle recycling in nerve terminals. Proc Natl Acad Sci USA 101: 8262–8269
    OpenUrlAbstract/FREE Full Text
  88. ↵
    Whisstock JC, Romero S, Gurung R, Nandurkar H, Ooms LM, Bottomley SP, Mitchell CA (2000) The inositol polyphosphate 5‐phosphatases and the apurinic/apyrimidinic base excision repair endonucleases share a common mechanism for catalysis. J Biol Chem 275: 37055–37061
    OpenUrlAbstract/FREE Full Text
  89. ↵
    Williamson WR, Wang D, Haberman AS, Hiesinger PR (2010) A dual function of V0‐ATPase a1 provides an endolysosomal degradation mechanism in Drosophila melanogaster photoreceptors. J Cell Biol 189: 885–899
    OpenUrlAbstract/FREE Full Text
  90. ↵
    Yamamoto H, Kakuta S, Watanabe TM, Kitamura A, Sekito T, Kondo‐Kakuta C, Ichikawa R, Kinjo M, Ohsumi Y (2012) Atg9 vesicles are an important membrane source during early steps of autophagosome formation. J Cell Biol 198: 219–233
    OpenUrlAbstract/FREE Full Text
  91. ↵
    Yu C, Wan KH, Hammonds AS, Stapleton M, Carlson JW, Celniker SE (2011) Development of expression‐ready constructs for generation of proteomic libraries. Methods Mol Biol 723: 257–272
    OpenUrlCrossRefPubMed
  92. ↵
    Zhang M, Chang H, Zhang Y, Yu J, Wu L, Ji W, Chen J, Liu B, Lu J, Liu Y, Zhang J, Xu P, Xu T (2012) Rational design of true monomeric and bright photoactivatable fluorescent proteins. Nat Methods 9: 727–729
    OpenUrlCrossRefPubMedWeb of Science
  93. ↵
    Zhong S, Hsu F, Stefan CJ, Wu X, Patel A, Cosgrove MS, Mao Y (2012) Allosteric activation of the phosphoinositide phosphatase Sac1 by anionic phospholipids. Biochemistry 51: 3170–3177
    OpenUrlCrossRefPubMedWeb of Science
  94. ↵
    Zhu JY, Vereshchagina N, Sreekumar V, Burbulla LF, Costa AC, Daub KJ, Woitalla D, Martins LM, Krüger R, Rasse TM (2013) Knockdown of Hsc70‐5/mortalin induces loss of synaptic mitochondria in a Drosophila Parkinson's disease model. PLoS One 8: e83714
    OpenUrlCrossRefPubMed
  • © 2017 The Authors
View Abstract
Next Article in this Issue
Back to top

  • PDF
  • Share
  • Export
  • Print
Loading

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
In this Issue
Volume 37, Issue 8
13 April 2018 | pp -
The EMBO Journal: 37 (8)
About the cover
Alert me when this article is cited
Alert me if a correction is posted

Article

  • Article
    • Abstract
    • Synopsis
    • Introduction
    • Results
    • Discussion
    • Experimental Procedures
    • Author contributions
    • Conflict of interest
    • Expanded View
    • Acknowledgements
    • References
  • Figures & Data
  • Transparent Process

Related Content

More Articles

  • Continuous signaling of CD79b and CD19 is required for the fitness of Burkitt lymphoma B cells
    Xiaocui He, Kathrin Kläsener, Joseena M Iype, Martin Becker, Palash C Maity, Marco Cavallari, Peter J Nielsen, Jianying Yang, Michael Reth
    The EMBO Journal : e97980
  • Thermal proteome profiling of breast cancer cells reveals proteasomal activation by CDK4/6 inhibitor palbociclib
    Teemu P Miettinen, Julien Peltier, Anetta Härtlova, Marek Gierliński, Valerie M Jansen, Matthias Trost, Mikael Björklund
    The EMBO Journal : e98359
  • The RNA‐binding protein Hfq is important for ribosome biogenesis and affects translation fidelity
    José M Andrade, Ricardo F dos Santos, Irina Chelysheva, Zoya Ignatova, Cecília M Arraiano
    The EMBO Journal : e97631
More Article

Related Articles

Cited By...

Request Permissions

Subject Areas

  • Autophagy & Cell Death
  • Neuroscience

Journal

  • Latest Online
  • Current Issue
  • Archive
  • Bibliometrics
  • E-Mail Editorial Office

Authors & Referees

  • Aims & Scope
  • Editors & Board
  • Transparent Process
  • Author Guidelines
  • Referee Guidelines
  • Open Access
  • Submit

Info

  • Alerts
  • RSS Feeds
  • Subscriptions & Access
  • Reprints & Permissions
  • Advertise & Sponsor
  • News & Press
  • Recommend to Librarian
  • Customer Service

EMBO

  • Funding & Awards
  • Events
  • Science Policy
  • Members
  • About EMBO

Online ISSN  1460-2075

Copyright© 2018 EMBO

This website is best viewed using the latest versions of all modern web browsers. Older browsers may not display correctly.