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. 2017 Sep 19;6:e24271. doi: 10.7554/eLife.24271

Restraint of presynaptic protein levels by Wnd/DLK signaling mediates synaptic defects associated with the kinesin-3 motor Unc-104

Jiaxing Li 1,, Yao V Zhang 2,3,†,, Elham Asghari Adib 1, Doychin T Stanchev 2,3, Xin Xiong 1, Susan Klinedinst 1, Pushpanjali Soppina 1, Thomas Robert Jahn 4,§, Richard I Hume 1, Tobias M Rasse 2,4,#,, Catherine A Collins 1,
Editor: K VijayRaghavan5
PMCID: PMC5605197  PMID: 28925357

Abstract

The kinesin-3 family member Unc-104/KIF1A is required for axonal transport of many presynaptic components to synapses, and mutation of this gene results in synaptic dysfunction in mice, flies and worms. Our studies at the Drosophila neuromuscular junction indicate that many synaptic defects in unc-104-null mutants are mediated independently of Unc-104’s transport function, via the Wallenda (Wnd)/DLK MAP kinase axonal damage signaling pathway. Wnd signaling becomes activated when Unc-104’s function is disrupted, and leads to impairment of synaptic structure and function by restraining the expression level of active zone (AZ) and synaptic vesicle (SV) components. This action concomitantly suppresses the buildup of synaptic proteins in neuronal cell bodies, hence may play an adaptive role to stresses that impair axonal transport. Wnd signaling also becomes activated when pre-synaptic proteins are over-expressed, suggesting the existence of a feedback circuit to match synaptic protein levels to the transport capacity of the axon.

Research organism: D. melanogaster

eLife digest

Each nerve cell, or neuron, has a long nerve fiber – called an axon – that forms specialized sites for information exchange – called synapses – with other cells. Many molecules work at synapses to coordinate the exchange of information. These molecules are largely made in the central part of the neuron – known as the cell body – and are then transported along the axon to the synapses.

The transport of these molecules is carried out by proteins known as molecular motors. One molecular motor, called KIF1A in humans and Unc-104 in fruit flies, is thought to be a major transporter of synaptic molecules. Mutations that hinder this molecular motor result in neurons failing to form synapses and, instead, synaptic components accumulate in the cell body. However, it was not clearif Unc-104 does actually carry all of the components needed to assemble synapses along axons, or if it influences synapse formation in another way.

Now, Li, Zhang et al. report new evidence that supports the second of these two hypotheses. The experiments made use of fruit flies in which the gene for Unc-104 had been deleted, and revealed that inhibiting enzymes in a specific signaling pathway could reverse the synaptic problems caused by the loss of Unc-104. The signaling pathway, which is conserved between flies and humans, involves an enzyme that is called Wnd in flies and DLK in humans. The Wnd/DLK signaling pathway was previously known to regulate how neurons respond when their axons are damaged (either by growing new axons or dying, depending on the context).

Further investigation by Li, Zhang et al. revealed that signaling via the Wnd enzyme becomes triggered whenever the Unc-104 molecular motor is impaired. This activation correlates with the build-up of synaptic proteins in the cell body. Once activated, the pathway then reduces the total amount of synaptic proteins that the cell makes. This reduction matches the neuron’s reduced ability to transport them along the axon, and may help the neuron to adapt when axonal transport is impaired. However, the reduction in synaptic proteins also impaired the exchange of information at the synapses.

These findings suggest how DLK could be behind problems with synapses in diseases in which transport along axons is impaired. These diseases include hereditary spastic paraplegia, which has been linked to mutations in human KIF1A, and may also include ALS and Alzheimer’s disease, which have recently been linked to DLK.

DLK has received recent attention as a candidate drug target because it contributes to the deterioration of damaged neurons. These new findings further expand that interest by suggesting that inhibiting DLK may help neurons to maintain working synapses, which is more useful than simply preventing damaged neurons from dying.

Introduction

Synapse development, maintenance and plasticity involve highly orchestrated trafficking events in both pre and postsynaptic cells. In contrast to postsynaptic receptors, whose trafficking and organization has been studied extensively in many different synapse types (Choquet and Triller, 2013), much less is known about the mechanisms that regulate the assembly and maintenance of the neurotransmitter release machinery in the presynaptic neuron. This machinery includes the active zone (AZ), an electron-dense complex of structural proteins that scaffold both calcium channels and synaptic vesicles (SV) for the coordination of calcium-regulated exocytosis (Südhof, 2012). The protein components of the AZ are synthesized in cell bodies and trafficked together in association with vesicles (known as piccolo-bassoon transport vesicles (PTVs) (Ahmari et al., 2000; Maas et al., 2012; Shapira et al., 2003). SV precursors are also synthesized in cell bodies, and carried by kinesin motors to synapses (Hall and Hedgecock, 1991; Okada et al., 1995). Regulation of synapse development likely involves a global coordination of the synthesis and transport of both AZ and SV components. However the mechanisms that regulate these important steps in synapse development and maintenance are poorly understood.

A critical role in synapse development has been assigned to the kinesin-3 family of motor proteins (Hall and Hedgecock, 1991; Kern et al., 2013; Niwa et al., 2016; Pack-Chung et al., 2007; Yonekawa et al., 1998). Mutations in mammalian Kif1a and its unc-104 orthologues in C. elegans and Drosophila (also known as imac, Klp53D and bris in Drosophila) cause severe defects in synapse development. In Drosophila unc-104-null mutants, synaptic boutons fail to form, SV and AZ components fail to traffic to nascent synapses, and concomitantly, SV and AZ associated proteins accumulate in the cell body (Pack-Chung et al., 2007). It is broadly accepted that Unc-104 protein functions as a molecular motor to physically deliver presynaptic components to their destinations in the synaptic terminal (Goldstein et al., 2008). However, while there is biochemical evidence that KIF1A can interact with and ‘carry’ SV precursors (Okada et al., 1995), there is little evidence that KIF1A (or Unc-104) carries AZ components. The mechanistic role of Unc-104 in AZ transport and assembly remains unclear.

In this study we found that synaptic defects in embryonic unc-104-null mutants, including the failure to form synaptic boutons and AZs, arise not from direct loss of Unc-104 transport function, but via an indirect mechanism, which involves activation of the Wnd/DLK axonal damage signaling pathway. The Wnd/DLK mixed lineage kinase has recently received intense interest for its roles in regulating both regenerative and degenerative responses to axonal damage in vertebrate and invertebrate neurons (Gerdts et al., 2016; Hao and Collins, 2017; Li and Collins, 2017; Tedeschi and Bradke, 2013). We found that the Wnd/DLK signaling pathway becomes activated when Unc-104’s function is impaired, and then promotes synaptic dysfunction by restraining expression of multiple pre-synaptic AZ and SV protein components. This restraint concomitantly reduces protein buildup in cell bodies, which may play an adaptive role to stresses that disrupt intracellular transport, and contribute to pathologies that arise when transport is disrupted.

Results

Roles for the Unc-104 kinesin in AZ transport and synaptic bouton growth can be functionally separated from SV transport

Previous studies of NMJ development in unc-104-null mutant animals have revealed essential roles for this kinesin in synaptic maturation (Hall and Hedgecock, 1991; Kern et al., 2013; Pack-Chung et al., 2007; Yonekawa et al., 1998). At the Drosophila neuromuscular junction (NMJ), unc-104-null mutants are severely defective in the formation of presynaptic boutons, fail to localize SVs to NMJ terminals and show strong reductions in AZ localization (Pack-Chung et al., 2007 and Figure 1). We found that disrupting the axonal damage signaling kinase Wnd (wnd3 single mutants) had no significant effect on bouton formation, AZ number, or presynaptic protein localization, but double mutants with unc-104-null alleles (unc-104P350, unc-104170, and unc-10452), gave a very informative phenotype: in unc-104null;wnd3/3 double mutants the synaptic bouton formation (Figure 1A and C), AZ number (Figure 1A and D), and synaptic levels of the AZ protein Brp (Figure 1A and E) were restored to a wild type phenotype. In contrast, the synaptic levels of SV proteins (VGlut, SytI and CSP) remained negligible, as in the unc-104null single mutants (Figure 1B and E). These results are consistent with previous findings that Unc-104 functions as an essential molecular motor to transport SV precursors to synaptic terminals. However our findings indicate that transport of AZ precursors and bouton formation can occur independently of Unc-104. These defects are mediated by a second and separable mechanism, which depends upon the function of the Wnd kinase.

Figure 1. AZ transport and Synaptic bouton formation but not SVP transport defects in unc-104-null mutants are rescued by mutations in wnd.

Figure 1.

Representative images of ISNb neuromuscular junction (NMJ) terminals at muscles 6, 7, 12 and 13 at embryonic stage 17 (20–21 hr AEL). We observed similar results with multiple independently generated unc-104-null alleles including unc-104P350, unc-104170and unc-10452. Representative images with unc-104P350 are shown here. (A) Images of ISNb NMJ terminals immunostained for a neuronal membrane marker to show axons and terminal boutons (HRP, green in upper panel) and the AZ component Brp (magenta in upper panel, white in lower panel). Boutons failed to form and AZs failed to localize to NMJ in unc-104null mutants. Both defects were restored in unc-104null(P350);wnd3 mutants. (B) Images of ISNb NMJ terminals immunostained for presynaptic vesicle proteins (VGlut, upper panels; SytI, lower panel). The insets show HRP staining of the nerve terminals. Note VGlut and SytI failed to localize to NMJ in both unc-104null(P350) and unc-104null(P350); wnd3 mutants. (C) The bouton formation defect was quantified as the percentage of ISNb NMJ terminals that contained at least one presynaptic varicosity, identified by HRP staining (and scored while blind to genotype). This method over-estimates the actual number of boutons in unc-104null mutants, since any varicosity within any of the ISNb terminals (on muscles 6, 7, 12 or 13) was counted. (D) The number of AZs (identified as Brp punctae) formed at ISNb NMJ terminals (on muscles 6, 7, 12 and 13). (E) The total (sum) intensity of Brp, VGlut, SytI and CSP measured across the ISNb NMJ terminals. All data are represented as mean ±SEM; At least 9 animals and 20 ISNb NMJ terminals were examined per genotype; N.S., not significant; ****p<0.0001, *p<0.05; Tukey test for multiple comparison; Scale bar, 10 μm.

The Wnd signaling pathway mediates presynaptic defects in unc-104-hypomorph mutants

To further study the effect of Wnd upon AZ assembly we utilized several hypomorphic loss-of-function mutations of unc-104, whose ability to survive to the third instar larval stage has allowed for extensive characterization of synaptic defects associated with Unc-104 (Barkus et al., 2008; Cao et al., 2014; Kern et al., 2013; Zhang et al., 2016; 2017). We used the EMS-generated alleles bris/null (Kern et al., 2013) and O3.1/null (Barkus et al., 2008), and knockdown in motoneurons via independent RNAi lines. All of these mutants share similar characteristics: Post Synaptic Densities (PSDs) form (identified by the presence of a core receptor subunit GluRIII), however ~50% lack apposing presynaptic AZ components, as identified by Brp (Figure 2A and C), Liprin-α (Figure 2B and D) and the voltage gated calcium channel Cac-GFP (Figure 2—figure supplement 2). This defect is accompanied by a reduction in the levels of Brp within individual synapses and also across entire NMJ terminals (Figure 2E). Similarly to the unc-104-null mutants (Figure 1), mutations in wnd fully rescued these presynaptic AZ assembly defects (Figure 2A–E). RNAi knockdown of unc-104 using either pan-motoneuron or single motoneuron driver lines led to AZ defects and concomitant knockdown of wnd in neurons led to rescue, (Figure 2—figure supplement 1), indicating a cell-autonomous role for both Unc-104 and Wnd in the synaptic defects.

Figure 2. Wnd signaling pathway is required for the presynaptic defects in unc-104-hypomorph mutants.

(A–B) Representative confocal images of third instar larval neuromuscular junctions (NMJ) at muscle 4. Postsynaptic densities (PSDs) identified by GluRIII staining (Green) that lacked apposing AZ components Brp (magenta in A), or Liprin-α (magenta in B) are highlighted by arrowheads. Note that when determining the absence of AZ components, the pixel saturation threshold was reduced to ensure detection ofweak signals (this resulted in saturation of certain pixels in wt controls. For more details, see Experimental Procedures.). (A) Alignment of postsynaptic GluRIII (green) with presynaptic AZ component Brp (magenta) in Canton-S (wt), unc-104bris/P350, unc-104bris/P350;wnd3 and wnd3. Unc-104bris is a partial loss of function mutation (Kern et al., 2013), while unc-104P350 is a null allele (Barkus et al., 2008). wnd3 is a presumptive null mutation in wnd (Collins et al., 2006). (B) Alignment of postsynaptic GluRIII (green) with presynaptic AZ component Liprin-α (magenta). Liprin-α-GFP was driven by rab7 promoter and UAS-unc-104 RNAi and UAS-wnd RNAi were driven by neuronal elav-Gal4. UAS-mCD8-RFP was used as a control for UAS dosage. (C–D) The percentage of PSDs which lack any trace of apposing presynaptic AZ protein, based on (C) Brp or (D) Liprin-α-GFP. (E) Signal intensity for Brp staining at individual synapses or summed across the entire NMJ terminal (at muscle 4), normalized to that in wt (Canton S) animals. (F) The total intensity of Vglut protein measured across the entire synaptic NMJ terminal at the muscle 4, normalized to that in wt (Canton S). All data are represented as mean ±SEM; At least 6 animals and 12 muscle 4 NMJ terminals were examined per genotype; ****p<0.0001, ***p<0.001, **p<0.01, *p<0.05. Scale bar, 5 μm. For additional data, see Figure 2—figure supplements 12.

Figure 2.

Figure 2—figure supplement 1. Wnd acts in a neuron-specific and cell-autonomous manner to mediate presynaptic defects in unc-104-hypomorph mutants, (related to Figure 2).

Figure 2—figure supplement 1.

(A) The percentage of GluRIII-labeled PSDs which lack apposing AZ components. Two different Gal4 drivers were used to express unc-104 RNAi (vdrc 23465), either specifically in SNc neurons, which innervate muscle 26, 27 and 29 (m12-Gal4) or all motoneurons (OK6-Gal4). Knockdown in SNc neurons caused synaptic assembly defects on innervated muscles (quantified for muscle 27) but not on other muscles (quantified for muscle 4). Control animals share UAS-unc-104 RNAi but lack Gal4. (B) The percentage of unapposed PSDs, defined (as in A and in Figure 2) by the absence of Brp at synapses labeled by GluRIII, was rescued when wnd was neuronally knocked down by RNAi together with unc-104 (2 independent RNAi lines: vdrc 23465, I and TRiP BL43264, II) or in unc-104-hypomorph (O3.1/d11204) mutants. All UAS-RNAi were driven by BG380-Gal4. UAS-Dicer was co-expressed to enhance RNAi efficiency with unc-104RNAi II. UAS-mCD8-RFP was used as a control for dosage of UAS lines. All data are represented as mean ±SEM; N.S., not significant; ****p<0.0001, ***p<0.001, **p<0.01,*p<0.05; Tukey test for multiple comparison.
Figure 2—figure supplement 2. Wnd signaling components JNK/Bsk and Fos promotes presynaptic defects in the localization of AZs and release machinery in unc-104-hypomorph mutants, (related to Figure 2).

Figure 2—figure supplement 2.

(A–B) Representative confocal images of NMJ synapses labeled with (A) Brp and (B) the L-type calcium channel Cacophony (cac)-GFP. Inhibition of (A) jnk/bsk or (B) fos via expression of a Dominant Negative (DN) transgene rescued the synaptic apposition defect of unc-104 mutants. (A): Control (OK319-Gal4), bskDN (OK319-Gal4; UAS-bskDN), unc-104bris (OK319-Gal4, unc104bris/d11204) and unc-104bris; bskDN (OK319-Gal4, unc104bris/d11204; UAS-bskDN). (B): Control (OK319-Gal4; UAS-cac-GFP), unc-104bris (OK319-Gal4, unc104bris/d11204; UAS-cac-GFP) and unc-104bris; fosDN (OK319-Gal4, unc104bris/d11204; UAS-bskDN, UAS-cac-GFP). GluRIII-labeled PSDs that lack apposing AZs (Cac-GFP or Brp) are highlighted by arrowheads. unc104d11204 is a null allele. Scale bar, 5 μm.

In axonal regeneration and synaptic overgrowth, Wnd has been shown to act in a signaling pathway consisting of a cascade of MAP kinases and transcription factors (Collins et al., 2006; Nakata et al., 2005; Xiong et al., 2010). We found that inhibition of the downstream MAP Kinase JNK (Bsk) and Fos transcription factor, via expression of dominant-negative (DN) isoforms in neurons, could also rescue the presynaptic defect shown in the unc-104 single mutants (Figure 2C and Figure 2—figure supplement 2). These results suggest that a signaling pathway consisting of Wnd, JNK and Fos mediates synaptic defects observed in unc-104 mutants.

Suppression of unc-104-hypomorph defects reveals additional roles for the Wnd signaling pathway in restraining neurotransmission

In contrast with unc-104-null mutants, we observed that wnd mutations caused a striking increase in quantity of VGlut at unc-104-hypomorphic mutant NMJs (Figure 2F). The dramatic rescue of structural defects as well as SV protein localization at NMJs suggested that Wnd pathway mutations may also rescue synaptic transmission defects in unc-104-hypomorph mutants. Unc-104-hypomorph mutant NMJs have severely reduced mini frequency, and modestly reduced mEJP amplitude, EJP amplitude and quantal content (Zhang et al., 2017). We observed that mutations in wnd, jnk (bsk) or fos fully rescued the mEJP frequency defects (Figure 3A and C and Figure 3—figure supplement 1). mEJP amplitude, EJP amplitude and quantal content were also rescued by wnd mutations (Figure 3), while Bsk (JNK) and Fos inhibition rescued some aspects of these defects (Figure 3—figure supplement 1 and Figure 3—source datas 13). Through distribution analysis, we further confirmed the change in mEJP amplitude and validated the coverage of mEJP events for frequency analysis (Figure 3—figure supplement 2). The suppression of these phenotypes by mutations in wnd suggests that the Wnd pathway impairs multiple aspects of synaptic structure and transmission.

Figure 3. The synaptic transmission defect in unc-104 mutants is suppressed by wnd mutations.

(A–B) Representative electrophysiological traces of (A) miniature Excitatory Junctional Potentials (mEJP) and (B) Evoked Excitatory Junctional Potentials (EJP) recorded from muscle 6 of third instar larvae. (C) Quantification of impaired mEJP frequency for unc-104-hypomorph mutants and their rescue by wnd mutations or expression of dominant negative (DN) bsk or fos (driven by elav-Gal4 and BG380-Gal4, respectively). Representative traces for bskDN and fosDN are shown in Figure 3—figure supplement 1. (D–F) Quantification of (D) mEJP amplitude, (E) EJP amplitude and (F) quantal content (corrected for nonlinear summation). See also Figure 3—figure supplement 1 for additional quantification of bskDN and fosDN data. Unc-10403.1 and unc-104bris are hypomorphic alleles, while unc-104P350 and unc-104d11204 are null alleles. wnd3 is a presumptive null mutation in wnd (Collins et al., 2006). wt animals are Canton S. All data are represented as mean ±SEM; N.S., not significant; ****p<0.0001, ***p<0.001, **p<0.01, *p<0.05. Tukey test for multiple comparison. For additional data, see Figure 3—figure supplements 14.

Figure 3—source data 1. Measurements of EJP and mEJP.
The file contains data from 3 independent experiments and 6 source data sheets: EJP amplitude, corrected EJP amplitude and Quantal content, mEJP amplitude and frequency of CS, unc-104, unc-104;wnd and wnd. This is corresponding to Figure 3.
DOI: 10.7554/eLife.24271.012
Figure 3—source data 2. Measurements of EJP and mEJP.
The file contains EJP amplitude, corrected EJP amplitude and Quantal content, mEJP amplitude and frequency of CS, unc-104bris/d11204, unc-104bris/d11204;bskDN and bskDN. This is corresponding to Figure 3C and Figure 3—figure supplement 1.
DOI: 10.7554/eLife.24271.013
Figure 3—source data 3. Measurements of EJP and mEJP.
The file contains EJP amplitude, corrected EJP amplitude and Quantal content, mEJP amplitude and frequency of CS, unc-104bris/O3.1, unc-104bris/O3.1;fosDN and fosDN. This is corresponding to Figure 3C and Figure 3—figure supplement 1.
elife-24271-fig3-data3.xlsx (100.4KB, xlsx)
DOI: 10.7554/eLife.24271.014

Figure 3.

Figure 3—figure supplement 1. Wnd signaling components JNK/Bsk and Fos promotes synaptic transmission defects in unc-104-hypomorph mutants, (related to Figure 3).

Figure 3—figure supplement 1.

(A) Representative electrophysiological traces of mEJP and EJP recorded from muscle 6 of third instar female larvae. The genotypes are: wt (Canton-S), unc-104bris/d11204, bskDN (elav-Gal4;; UAS-bskDN) and unc-104bris/d11204; bskDN (elav-Gal4; unc104bris/d11204; UAS-bskDN), unc-104bris/O3.1, unc-104bris/O3.1; fosDN (BG380-Gal4; unc104bris/d11204; UAS-fosDN) and fosDN (BG380-Gal4;; UAS-fosDN). (B–C) Quantification of mEJP amplitude, EJP amplitude and quantal content (corrected for nonlinear summation). All data are represented as mean ±SEM; N.S., not significant; ****p<0.0001, ***p<0.001, **p<0.01, *p<0.05. Tukey test for multiple comparison.
Figure 3—figure supplement 2. mEJP amplitude is reduced in unc-104 mutants and restored in unc-104; wnd double mutants, (related to Figure 3).

Figure 3—figure supplement 2.

Distribution of mEJP amplitudes fit with log Gaussian. The center amplitude was determined by the peak of curve: wt (Canton S) wild type (0.80 mV), unc104bris/P350 (0.61 mV), unc104bris/P350; wnd3/3 (0.95mV) and wnd3/3 (0.76 mV). Note that both the center amplitude and the amplitude distribution were restored in double mutants.
Figure 3—figure supplement 3. The expression of Unc-104 is barely detectable in unc-104-hypomorph mutants, (related to Figure 3).

Figure 3—figure supplement 3.

Western blot of larva brains for Unc-104 and β-tubulin for wt (Canton S), unc-104bris/P350, wnd3 and unc-104bris/P350;wnd3.
Figure 3—figure supplement 4. Defects in larval motility and lethality of unc-104-hypomorph mutants were only partially suppressed by wnd mutations, (related to Figure 3).

Figure 3—figure supplement 4.

(A) Percentage pupae that survive to adulthood. 60 offspring third instar larvae of indicated genotype were transferred to grape plates and raised at 29°C to increase RNAi knock-down efficiency. The number of adults emerging from pupae were counted over the next 14 days. Adults with anterior the half of their body (head, thorax and foreleg) out of pupae, but with the posterior half body (abdomen and posterior 4 legs) stuck in the pupal case were scored as 'halfway' emerging adults. UAS-RNAi lines were driven by OK371-Gal4. UAS-Octβ2R RNAi and UAS-moody RNAi were used as control RNAi lines for UAS dosage, since no phenotypes were observed for either RNAi line when expressed in in neurons. The percentage survival was measured as the number of emerged or halfway emerged adults divided by the total number of larvae. (B) Motility of third instar larvae was quantified from 2 min videos (30 frames per second). After selection of each genotype animals put on grape plates for 1 hr to adapt before recording. For each larva, the distance and time traveled after it was released in a new plate and before it reached the plate walls was measured with the MB-Ruler (Markus Bader). A marker point in the middle of movement was only applied if the larva moved 45 degree away from the current direction and 2–5 marker points were set to determine the path. A total of 60 larvae were recorded and analyzed for each genotype. UAS-RNAi lines were driven by OK371-Gal4, as in (A). All data are represented as mean ±SEM; N.S., not significant; ****p<0.0001, ***p<0.001, **p<0.01,*p<0.05; Tukey test for multiple comparison.

The total levels of Unc-104 protein remained low in the unc-104hypomorph;wnd double mutants (Figure 3—figure supplement 3). Moreover, defects in larval motility and lethality of unc-104-hypomorph mutants largely remained in unc-104hypomorph;wnd double mutants, implying the persistence of major defects from the loss of Unc-104’s function (Figure 3—figure supplement 4). Hence the extensive suppression of the synaptic defects at the larval NMJ is unlikely to be the result of increased stability of the residual Unc-104 protein. Instead, as indicated by the suppression of unc-104-null defects (Figure 1), the synaptic phenotypes reflect an activity of the Wnd pathway rather than a direct consequence of impaired Unc-104 driven transport.

Wnd signaling becomes activated when Unc-104’s function is lost

To test for Wnd signaling activation in unc-104 mutants, we utilized a transcriptional reporter of JNK signaling, the puckered (puc)-lacZ enhancer trap (Martín-Blanco et al., 1998), which has been previously shown to report Wnd signaling activity in motoneurons (Valakh et al., 2013; Xiong et al., 2010). The basal expression of puc-lacZ is very low in wild type animals but was significantly increased in all unc-104 LOF mutant backgrounds (including bris/null, O3.1/null, and 2 independent RNAi lines) (Figure 4A and B). This increase was abolished when wnd was concomitantly knocked-down by RNAi (Figure 4B), hence reflects activation of a Wnd-mediated nuclear signaling cascade.

Figure 4. The Wnd signaling pathway is activated in unc-104 mutants.

Figure 4.

(A) Images of motoneuron cell bodies near the midline of larval ventral nerve cord, immunostained for motoneuron nuclear marker phospho-SMAD (magenta) and the Wnd/JNK nuclear reporter puc-LacZ (green). UAS-RNAi lines (including UAS-moody RNAi as a control) were driven by pan-neuronal BG380-Gal4. At least 3 dorsal abdominal clusters of motoneurons per VNC from 6 animals per genotype were examined. (B) Quantification of puc-lacZ expression in multiple unc-104 mutant backgrounds. Unc-10403.1 and unc-104bris are hypomorphic alleles, while unc-104170 is a null allele. In addition we tested two independent unc-104 RNAi lines (vdrc 23465, I and TRiP BL43264, II). Unc-104 RNAi II was accompanied with Dicer2 expression to facilitate the knock-down. Co-expression of wnd-RNAi, compared to UAS-mCD8-ChRFP reduced the effect of unc-104 knockdown. The ‘control’ genotype has UAS-mCD8-ChRFP, (which serves as a control for dosage of UAS lines). Quantification methods are described in Experimental Procedures. (C) Presynaptic bouton morphology and branching at the NMJ, viewed via immunostaining for HRP (membrane marker) at muscle 4. The presynaptic arbor was over-branched in unc-104 bris mutants compared to wt (Canton S) control animals, and this was rescued in unc-104bris; wnd1/3 double mutants. (D) Quantification of presynaptic overgrowth was estimated by measuring the total NMJ length (from the most proximal to the most distal bouton of the presynaptic nerve terminal at muscle 4, labeled via anti-HRP staining). The data shown used unc-104bris and wnd1/3 mutations, while UAS-bskDN and UAS-fosDN were driven by elav-Gal4. wt control animals were Canton S. (E) Regenerative axonal sprouting of m12-Gal4, UAS-mcd8-GFP labeled axons 10 min, 9 hr or 18 hr after nerve crush from wt compared to unc-104O3.1(hypomorph)/P350(null() mutant animals. Asterisk (*) indicates the injury site and arrow indicates the direction of the cell body. By 9 hr after nerve crush injury, axons in wild type animal initiate new growth via short filopodia-like branches from the proximal axonal stump. At 18 hr, a few branches are stabilized and grow either towards the distal axon or the cell body. In comparison, unc-104 mutants showed a marked increase in new axonal branches at 9 hr, and at 18 hr these new axonal branches showed similar stabilization but extended nearly twice as far as wild type axons. (F) 9 hr after injury, the percentage of axons which contain more than 5 identifiable branches per axon. (G) The length of the longest branch per nerve at 18 hr after injury. unc-104O3.1/P350 mutant and 2 independent unc-104 RNAi lines and control RNAi (moody-RNAi) (driven by m12-Gal4) were examined. All data are represented as mean ±SEM; N.S., not significant; ****p<0.0001, ***p<0.001,*p<0.05, Tukey test for multiple comparison; Scale bar, 20 μm.

Additional evidence for Wnd signaling activation was revealed by the presynaptic nerve terminal morphology of unc-104 hypomorphic mutant NMJs, which show increased numbers of synaptic branches and boutons which are smaller in size ([Figure 4C and D], and Kern et al). These features of presynaptic nerve terminal overgrowth have previously been described for Wnd pathway activation (Brace et al., 2014; Collins et al., 2006; Valakh et al., 2013; Wu et al., 2007). We confirmed that this overgrowth phenotype in unc-104 mutants requires the function of Wnd, JNK and Fos in presynaptic motoneurons (Figure 4C and D).

Finally, we observed that unc-104-hypomorph mutants showed an enhanced ability to regrow axons after injury (Figure 4E–G). A potentially similar role in restraining axonal growth has recently been noted for unc-104 during development in C. elegans (Stavoe et al., 2016). Since previous studies have shown that activation of Wnd/DLK signaling enhances the ability of axons to initiate regenerative axonal growth after injury (Hammarlund et al., 2009; Shin et al., 2012; Xiong et al., 2010; Yan et al., 2009), the activation of Wnd signaling in unc-104 mutants may explain this kinesin’s paradoxical function in restraining rather than promoting axonal growth.

Previous studies have suggested links between JNK signaling and the regulation of axonal transport (Fu and Holzbaur, 2014; Verhey and Hammond, 2009). It is therefore interesting that other mutations that disrupt axonal transport, including mutations which inhibit kinesin-1, dynein and dynactin, did not significantly affect the expression of puc-lacZ (Figure 4B and Xiong et al., 2010). Altogether, our results suggest a unique functional interdependence between Wnd pathway and the Unc-104 kinesin, and that the Wnd signaling pathway becomes activated when Unc-104’s function is lost.

Wnd protein is mislocalized to the cell body in unc-104 mutants

Previous studies have established that the protein levels of Wnd and its DLK homologues in mammals and C. elegans are strictly regulated, and positively correlate with the activity of Wnd signaling pathway (Feoktistov and Herman, 2016; Hao et al., 2016; Huntwork-Rodriguez et al., 2013). A highly conserved ubiquitin ligase domain protein Hiw/Rpm-1/Phr1 restricts the levels of Wnd/DLK protein and inhibits Wnd/DLK signaling activation in wild type animals (Babetto et al., 2013; Collins et al., 2006; Nakata et al., 2005; Xiong et al., 2010). Mutations in hiw lead to strongly elevated levels of Wnd protein whose localization can be detected in neurites and at synapses (Collins et al., 2006). We therefore examined Wnd protein in unc-104 mutants, for comparison to the previous characterized changes in hiw mutants.

In contrast to hiw, mutations in unc-104 did not lead to a detectable increase in global levels of endogenous Wnd protein by Western Blot (Figure 5A), or in synaptic Wnd protein level (Figure 5B). In addition, unc-104 mutants do not share the previously reported phenotype of hiw mutants of delayed axonal degeneration (Xiong et al., 2012, and data not shown). These observations suggest that the mechanism of Wnd signaling activation in unc-104 mutants is unlikely to occur via Hiw.

Figure 5. Wnd signaling is activated via an unconventional mechanism in unc-104 mutants.

(A) Representative Western blot of larval whole brain extracts for endogenous Wnd and β-tubulin, and quantification of Wnd levels normalized to β-tubulin band intensity (n ≥ 3). Mutants examined include unc-104bris(hypomoprh)/P350(null), wnd3 and hiwΔN. (B) Images of larval ventral nerve cords from MiMIC-wnd-GFP animals immunostained for GFP. Note the increased neuropil signal in hiw mutants, but not control or unc-104 mutants. This also indicates that the MiMIC-wnd-GFP is, like endogenous Wnd (Collins et al., 2006), subject to regulation by Hiw. (C) Images of motoneuron cell bodies in MiMIC-wnd-GFP animals immunostained with antibody against GFP. Compared to (B), these images are collected in a higher magnification and focal plane to view the motoneuron cell bodies. Two representative cell bodies are marked by green circles. At least 6 animals were examined per genotype. (D) Images of SNc motoneuron cell bodies via live-imaging in larvae expressing UAS-GFP-wndkd (which is kinase dead to avoid pathway activation) driven by m12-Gal4. A representative cell body is marked by a green circle. At least 6 animals were examined per genotype. (E–F) Quantification of GFP signal intensity from (C–D) in cell bodies, normalized to wt (control) animals. Note that ectopically expressed GFP-wnd kinase dead protein has a higher basal expression level which allows for increased sensitivity in detecting changes to Wnd protein. (G–H) Representative images of presynaptic Brp and postsynaptic GluRIII from (G) liprin-αF3ex/R60 and liprin-α F3ex/R60;wnd1/3 and (H) rab3rup and rab3rup;wnd3. Unapposed GluRIII-labeled PSDs are highlighted by arrowheads. Wt is Canton S.. (I) Percentage of unapposed GluRIII-labeled PSDs from (G) and (H). All data are represented as mean ±SEM; N.S., not significant, ****p<0.0001; Tukey test for multiple comparison; Scale bar (B–D) 20 μm and (G–H) 5 μm. For additional data, see Figure 5—figure supplements 13.

Figure 5.

Figure 5—figure supplement 1. MiMIC-Wnd-GFP is a fusion protein of Wnd and GFP, (related to Figure 5).

Figure 5—figure supplement 1.

Western blot with anti-Wnd antibody for larval brain extracts from wnd3/Df, wt, wnd+/Df and wndMiMIC-GFP/Df animals. Endogenous Wnd protein runs at approximately 130 kDa, while the MiMIC-Wnd-GFP fusion protein can be detected at an appropriately larger molecular weight (160 kDa) for the GFP-fusion, confirming the expression and stability of the fusion protein. 20 adult brains were processed for each sample.
Figure 5—figure supplement 2. Wnd transport was not impaired in unc-104 mutants, (related to Figure 5).

Figure 5—figure supplement 2.

(A) Kymograph of GFP-wndKD particle movement in SNc motoneuron axons (using the m12-Gal4 driver). Axons were imaged 900 μm distal to cell bodies at 0.3 Hz for 5 min in wt (m12-Gal4, UAS-GFP-wndKD) and unc-104O3.1/P350 mutant animals. Anterograde particles (which were more abundant in unc-104 mutants) moved from left to right. (B–D) Measurement of GFP-wndKD particle movement by (B) the distribution of particles across retrograde, anterograde and immotile categories, (C) velocity, and (D) scatter plot showing both duration (y-axis) and velocity (x-axis) of all anterograde and retrograde particles. In unc-104 mutants anterogradely-moving particles are more abundant and move in longer duration at higher velocity. All data are represented as mean ±SEM; N.S., not significant, ***p<0.001, **p<0.01, *p<0.05, Tukey test for multiple comparison.
Figure 5—figure supplement 3. Liprin-α and Rab3 control presynaptic assembly independently of Wnd, (related to Figure 5).

Figure 5—figure supplement 3.

Quantification of Brp intensity at individual AZs (intensity per AZ) and the number of Brp puncta per NMJ. Both liprin-α and rab3 mutants showed increased Brp intensity at individual AZs and a reduction in total number of Brp puncta. These phenotypes were not suppressed by wnd mutations. All quantification is normalized to wt (Canton S). All data are represented as mean ±SEM; N.S., not significant; ****p<0.0001, ***p<0.001,*p<0.05, Tukey test for multiple comparison.

We then looked further at Wnd’s localization using available reagents. By immunocytochemistry (IHC) with anti-Wnd antibodies, Wnd protein remained below the detection threshold in both wild type and unc-104 mutant animals (data not shown). Therefore, to further evaluate potential effects upon Wnd protein we utilized two different wnd-GFP fusion proteins. First, a MiMIC-wnd-GFP line (Venken et al., 2011), in which a GFP tag is inserted via an exon trap within the wnd genomic locus, creates another tool for detecting Wnd as expressed from its endogenous promoter. We verified that Wnd protein from this line was expressed and tagged (Figure 5—figure supplement 1). By IHC, this reagent revealed Wnd enrichment in neuronal cell bodies in unc-104 mutants (Figure 5C and E). Second, an ectopically expressed UAS-GFP-wndKD transgene (which was kinase dead to avoid pathway activation) has been established as a sensitive method to detect Wnd protein change (Collins et al., 2006; Hao et al., 2016; Xiong et al., 2010). This highly expressed transgene also revealed an increase in cell body localized Wnd in unc-104 mutants (Figure 5D and F). This correlation of Wnd localization with signaling activation is interesting to note, since Wnd and its DLK homologue are known to physically associate with vesicles that are transported in axons (Holland et al., 2016; Xiong et al., 2010), and this transport appears to be important for its ability to mediate axon-to-cell body retrograde signaling.

Does the cell body localization of Wnd reflect a role for Unc-104 in transporting Wnd-associated vesicles? From live imaging analysis of UAS- GFP-wndKD vesicles we observed no impairment in transport kinetics or flux in unc-104 mutants (Figure 5—figure supplement 2), and no co-localization for Wnd and Unc-104 (data not shown). Therefore we found no evidence for Wnd as a direct cargo of Unc-104.

Wnd inhibits presynaptic structure independently of the synaptic cargo Liprin-α and Rab3

We then considered the possibility that Unc-104 regulates Wnd signaling indirectly via the transport of another cargo. Previous work has suggested that other presumed cargo of Unc-104, including Liprin-α, Rab3 and Rab3-GEF, play important early roles in AZ assembly (Graf et al., 2009; Niwa et al., 2008; Shin et al., 2003; Südhof, 2012). We therefore asked whether defects in these synaptic ‘cargos’ of Unc-104 led to activation of Wnd signaling. We observed that liprin-α mutant NMJs contain a large portion of unapposed GluRIII-labeled PSDs (Figure 5G), resembling the defects in unc-104 mutants. Similar defects were reported for rab3 and rab3-gef mutants (Bae et al., 2016; Graf et al., 2009). However, in contrast to unc-104, the liprin-α and rab3 synaptic defects were not suppressed by mutations in wnd (Figure 5G–I). Furthermore, the increased Brp intensity per AZ and reduced AZ number due to liprin-α and rab3 mutations was not suppressed by wnd mutations (Figure 5—figure supplement 3). In fact, the Brp intensity per AZ was slightly enhanced in liprin-α;wnd double mutants. These data suggest that Liprin-α and Rab3 regulate presynaptic assembly via pathways that are either independent or downstream of Wnd, and that defects in synapse assembly and structure per se do not cause activation of Wnd signaling.

Activation of the Wnd signaling pathway in neurons is sufficient to impair presynaptic structure and synaptic transmission

If Wnd signaling activation mediates synaptic defects in unc-104 mutants, then activation of this pathway via other means should also induce unc-104-like synaptic phenotypes. Indeed, over-expression of wnd alone in motoneurons resulted in cell-autonomous presynaptic defects that are comparable to unc-104 mutants. First, many individual synapses (identified by GluRIII puncta) lacked Brp (Figure 6A and C), and synapses that contained Brp had reduced Brp intensity, which resulted in a global 70% reduction in Brp intensity across the entire NMJ terminal (Figure 6B). Second, mEJP frequency, along with other aspects of synaptic transmission (amplitude of EJP and mEJP), was significantly impaired (Figure 6D–I). Third, synaptic localization of SV-associated proteins, measured by VGlut intensity within NMJ terminals, was also reduced (Figure 6B and Collins et al., 2006). Taken together with the rescue of unc-104 synaptic defects by wnd mutations (Figures 13), these data indicate that activation of Wnd signaling leads to strong perturbations in presynaptic structure and function.

Figure 6. Activation of the Wnd signaling pathway in neurons is sufficient to impair presynaptic structure and synaptic transmission.

(A) Representative images of SNc synapses at muscle 26, 27 and 29 with Brp and GluRIII staining. GluRIII-labeled PSDs that lack apposed AZs (highlighted by arrowheads) increased when Wnd was over-expressed. Similar defects were observed using a pan-motoneuron driver (OK6-Gal4), and in driver line specific to the SNc motoneuron (m12-Gal4), indicating the cell autonomy of Wnd’s effect upon synapse assembly. (B) Quantification of Brp intensity at individual synapses or across entire NMJ terminals, and, similarly, total VGlut intensity across entire NMJ terminals (at muscle 4). Expression of UAS-wnd was driven with ok6-Gal4, and normalized to wt (Canton S). (C) The percentage of GluRIII-labeled PSDs which are unapposed by AZ component BRP. Quantification was carried out at SNc NMJ terminals in hiwΔN, unc-104O3.1/P350 and when UAS-wnd was over-expressed using either pan-motoneuron driver (OK6-Gal4) or a driver specific to SNc motoneurons (m12-Gal4). (D–E) Representative electrophysiological traces of (D) mEJP and (E) EJP on muscle 6 of third instar larvae in wt (Canton S) and OE wnd (expressed using the ok6-Gal4 driver). (F–I) Quantification of the (F) mEJP frequency, (G) mEJP amplitude, (H) EJP amplitude and (I) quantal content (corrected for nonlinear summation). All data are represented as mean ±SEM; N.S., not significant, ****p<0.0001, ***p<0.001, **p<0.01, *p<0.05, Tukey test for multiple comparison; Scale bar, 2 μm. For additional data, see Figure 6—figure supplements 12.

Figure 6.

Figure 6—figure supplement 1. Wnd activation in hiw mutants inhibits presynaptic assembly, (related to Figure 6).

Figure 6—figure supplement 1.

(A) Representative images of presynaptic Brp (magenta) and postsynaptic GluRIII (green) from wt (Canton S), hiwΔN(null) and hiwΔN(null);;wnd3/Df. GluRIII-labeled PSDs that lack apposed AZs (identified by Brp) are highlighted by arrowheads. (B) Quantification of the percentage of unapposed GluRIII-labeled PSDs which lack AZs from (A), normalized to wt (Canton S). (C–D) The total intensity of Brp measured at (C) individual synapses and (D) across NMJ terminals was reduced in hiw mutants, and restored in hiw;wnd double mutants. (E) Triple labeling of Brp (red), GluRIII (blue) and either Liprin-α-GFP or Cacophony-GFP (green) from wild type and hiwΔN. The co-localization of three markers resulted in white while unapposed ‘half synapses’ resulted in blue only, highlighted with arrowheads. Note that the arrowheads lack all 3 AZ markers. All data are represented as mean ±SEM; N.S., not significant, ****p<0.0001, ***p<0.001, **p<0.01, *p<0.05; Tukey test for multiple comparison, Scale bar, (A) 5 μm and (E) 2 μm.
Figure 6—figure supplement 2. Wnd activation in hiw null mutants inhibits synaptic transmission, (related to Figure 6).

Figure 6—figure supplement 2.

(A) Representative electrophysiological traces of mEJP and EJP on muscle 6 of third instar male larvae. The genotypes are wild type (Canton-S), hiwΔN, hiwΔN;;wnd3/Df, wnd3/Df, hiwND8, hiwND8;;wnd1/wnd2, wnd1/wnd2. hiwΔN is likely a null allele of highwire, while hiwND8 is likely a hypomorphic allele (Wu et al., 2005). (B) Quantification of the mEJP frequency, mEJP amplitude, EJP amplitude and quantal content. Note that hiwΔN exhibited a slightly stronger defect in EJP amplitude and quantal content than hiwND8. For both hiw alleles, mutations in wnd rescued the strongly reduced mEJP frequency, as well as the reduced mEJP amplitude. However, consistent with previous characterization(Collins et al., 2006) the quantal content defect (in both hiwΔN and hiwND8 mutants) was not significantly rescued by mutations in wnd. All data are represented as mean ±SEM; N.S., not significant, ****p<0.0001, ***p<0.001, **p<0.01, *p<0.05; Tukey test for multiple comparison.

As noted above, Wnd signaling also becomes activated when an upstream negative regulator, Hiw, is mutated (Collins et al., 2006; Nakata et al., 2005). We found that hiw mutants displayed strikingly similar presynaptic defects to unc-104 mutants or overexpression of Wnd (Figure 6—figure supplements 1 and 2). These included 60% of synapses lacking the AZ proteins Brp, Liprin-α and Cac (Figure 6—figure supplement 1A,B and E), a reduction of total Brp intensity at individual synapses and across the NMJ terminal (Figure 6—figure supplement 1C–D), a reduction in VGlut intensity at the NMJ terminal (Collins et al., 2006), and reduced mEJP frequency (Collins et al., 2006) and Figure 6—figure supplement 2). All these presynaptic defects were rescued by wnd mutations. Meanwhile, a previously described Wnd-independent defect in quantal content remains in hiw;wnd double mutants (Figure 6—figure supplement 2, and Collins et al., 2006). Taken together, these observations indicate that activation of the Wnd signaling pathway in multiple scenarios—in unc-104 mutants, in hiw mutants, or when Wnd is ectopically over-expressed—all lead to a shared set of characteristic defects in presynaptic structure and synaptic transmission.

Wnd signaling restricts the expression level of presynaptic proteins in unc-104 mutants

The above observations suggest that activation of the Wnd signaling pathway in unc-104 mutants is the cause of many of the synaptic defects associated with Unc-104. However how Wnd signaling affects synapses, including both AZ and SV protein localization, is unknown. One of the hallmarks of the unc-104 mutant phenotypes is the aggregation of protein components of both SVs and AZs in neuronal cell bodies (Hall and Hedgecock, 1991; Pack-Chung et al., 2007). Strikingly, wnd mutations enhanced this phenotype: SV and AZ components were dramatically increased in cell bodies of unc-104; wnd double mutants (Figure 7A,C,E, and Figure 7—figure supplement 1). We observed a similar increase when either bsk or fos was inhibited in the unc-104 mutant background (Figure 7—figure supplement 2).

Figure 7. Wnd restricts the expression level of presynaptic components Brp and VGlut in unc-104 mutants.

(A–D) Immunostaining for VGlut (green, (A and B) and Brp (magenta, (C and D) in motoneuron cell bodies (A and C) and NMJ terminals (B and D). In (A) motoneuron nuclei are indicated by Elav staining (blue). Note the increased intensity of VGlut and Brp in unc-104bris/P350; wnd3 double mutants. (E) Quantification of VGlut and Brp intensity in cell bodies of motoneurons, corresponding to images in A and C. Note that total intensity measured at NMJ terminals is shown in Figure 2E–F. (F) Estimates generated for the total levels of VGlut and Brp proteins within motoneurons, accounting for the summed intensities measured in cell body, axonal, and synaptic compartments. Methods and assumptions used to calculate these estimates are described in Experimental Procedures. These proteins predominantly localize to the NMJ synaptic terminals (the proportion of the total protein localized to synapses is indicated with black shading). In unc-104-hypomorph mutants, a larger percentage is detected in cell bodies (medium gray shading), and the total summed intensity is reduced. In unc-104; wnd double mutants, the intensity increases in all of the compartments, cell body, axon (light gray shading) and synapse, compared to unc-104 mutants alone. Wt animals are Canton S. (G) Images of motoneuron nuclei, immunostained for DsRed in vglut promoter-DsRed reporter lines. (H) Quantification of vglut-DsRed intensity in (G), normalized to controlRNAi (moody RNAi). UAS-RNAi lines were driven by OK6-Gal4. For cell body analysis, at least 2 dorsal abdominal clusters of motoneurons per animal from at least 6 animals per genotype were examined. All data are represented as mean ±SEM; ****p<0.0001, ***p<0.001, **p<0.01, *p<0.05, Tukey test for multiple comparison; Scale bar, 20 μm. For additional data, see Figure 7—figure supplements 13.

Figure 7.

Figure 7—figure supplement 1. In unc-104-null mutants, multiple synaptic proteins were down-regulated by Wnd, (related to Figure 7).

Figure 7—figure supplement 1.

(A) Schematic cartoon showing the locations of motoneuron cell bodies (within one segment, denoted by dotted lines) and Neuropil (green) in the nerve cord at embryonic stage 17. (B) Brp, SytI, VGlut and CSP immunostaining in stage 17 embryonic nerve cord (20–21 AEL). Increased staining in unc-104null;wnd3 mutants is noted in the cell body region. (C) Quantification of total intensity of SytI and VGlut from (B). At least 6 animals were examined per genotype. All data are represented as mean ±SEM; N.S., not significant, ****p<0.0001, ***p<0.001, *p<0.05, Tukey test for multiple comparison; Scale bar, 20 μm.
Figure 7—figure supplement 2. Wnd signaling components JNK/Bsk and Fos restrict the expression level of presynaptic components Brp and VGlut in cell bodies of unc-104 mutants, (related to Figure 7).

Figure 7—figure supplement 2.

(A–B) Representative confocal images of motoneuron cell bodies immunostained for VGlut (Green) and Brp (magenta). Similarly to mutations in wnd (in Figure 7) inhibition of (A) bsk(JNK) or (B) fos in the unc-104-hypomorph mutant background via expression of dominant negative isoforms caused a dramatic enhancement of VGlut and Brp acccumulations in cell bodies. Two groups of motoneuron cell bodies are shown in each image. The genotypes are: wt (Canton-S), unc-104bris/d11204, bskDN (elav-Gal4;; UAS-bskDN), unc-104bris/d11204; bskDN (elav-Gal4; unc104bris/d11204; UAS-bskDN), unc-104bris/O3.1, unc-104bris/O3.1; fosDN (BG380-Gal4; unc104bris/d11204; UAS-bskDN) and fosDN (BG380-Gal4;; UAS-fosDN). Scale bar, 20 μm. (C–D) Quantification of VGlut and Brp from (A–B). At least 6 animals were examined per genotype.
Figure 7—figure supplement 3. Total VGlut protein levels are reduced in unc-104-hypomorph mutants, in a Wnd-dependent manner (related to Figure 7).

Figure 7—figure supplement 3.

Representative Western blot of 30 larval brains for VGlut and β-tubulin from wt (Canton S), unc-104bris/P350, wnd3 and unc-104bris/P350;wnd3.

The exacerbated SV and AZ component accumulation in the neuronal cell bodies of unc-104; wnd double mutants seemed at first glance hard to reconcile with the suppression of synaptic defects in these animals. However, they may be explained by an action of the Wnd pathway within a feedback circuit to reduce the build-up of SV and AZ components in neuronal cell bodies. As a nuclear signaling cascade, we hypothesized that Wnd signaling may achieve this effect by down-regulating the expression levels of SV and AZ components. In this case, such reduction in global levels could account for the reduced levels at synaptic terminals in unc-104 mutants. To test this hypothesis, we carried out quantitative immunohistochemistry to estimate the total cellular levels of Brp and VGlut in motoneurons based on respective intensities in cell body, axonal and synaptic compartments (Figure 7F). We found that compared with wildtype animals, the total levels of Brp and VGlut are reduced by 65% and 80% respectively in unc-104 mutants (Figure 7F). The total levels of both proteins were restored in unc-104; wnd double mutants, with increases observed in all of the compartments (cell bodies, axons, and synapses). (Figure 7F). We suspect that the fact that motoneurons are only a fraction of neurons in the Drosophila nervous system prohibited our detection of global changes in these proteins by Western blot (data not shown). However we observed this trend in total levels of VGlut (Figure 7—figure supplement 3). This may be facilitated by the fact that most of the glutamatergic neurons in larval VNCs are motoneurons.

These observations, combined with the observations that Wnd activation reduces the levels of Brp and VGlut at NMJs, suggest a model in which activated Wnd signaling leads to a down-regulation of the expression levels of multiple pre-synaptic proteins in unc-104 mutants. This response may serve to counteract their buildup in neuronal cell bodies while causing the observed defects in synapse structure and function. In support of this, unc-104 mutations led to decreased expression of a vglut-DsRed transcriptional reporter in motoneurons, in a Wnd-dependent manner (Figure 7G and H). This, together with the involvement of transcription factor Fos in restraining VGlut and Brp buildup in cell bodies (Figure 7—figure supplement 2), implies that Wnd signaling may inhibit presynaptic protein expression at the transcriptional level.

Wnd delays the expression of SV proteins during early stages of synapse development

We then asked whether Wnd signaling may also play a role during early synaptic development, when precise temporal coordination of presynaptic protein expression is critical for establishing synaptic contacts. Previous studies suggest that while Wnd/DLK signaling becomes activated in injured neurons, it is normally highly restrained in uninjured animals (Collins et al., 2006; Xiong et al., 2010), and, in contrast to its essential role in responses to axonal injury, roles for Wnd in developmental axonal outgrowth or synapse formation have not been previously described (Collins et al., 2006). We investigated this more carefully via analysis of wnd-null mutants during embryonic stages of axonal outgrowth and synapse formation (during embryonic stages 14 through 17), and observed that NMJ synapse development progressed normally (Figure 8—figure supplement 1).

However, wnd mutants showed a premature onset of SV protein expression (Figure 8). In wild type embryos VGlut protein expression was undetectable until late embryonic stage 15, which coincides with the time at which motoneuron axons first reach their target muscles (Johansen et al., 1989). VGlut first appears in cell bodies (Figure 8A–C) and then becomes detectable at synapses at stage 16 and beyond (Figure 8D), consistent with continued expression and transport to synaptic terminals as the NMJ terminal expands. In wnd mutants VGlut expression levels resemble wild type at stage 16 and beyond, however its initial expression in cell bodies became apparent at an earlier time point, in early embryonic stage 15 (Figure 8B–C). SytI intensity was also increased in wnd mutants at early embryonic stage 16 (Figure 8E–F). These results suggest that endogenous Wnd signaling may function in pacing the onset of expression of SV proteins. This function may prevent unwanted buildup at inappropriate time points before synaptic contacts are established.

Figure 8. Wnd delays the expression of SV proteins during early stages of synapse development.

(A) Schematic cartoon of the embryonic nerve cord showing the neuropil (the location of neurites and developing synapses in the CNS) and motoneuron cell bodies in 2 segments at late embryonic stages (15 to 16). (B) Representative images of VGlut (white, bottom row) expression in motoneuron cell bodies of wt (w118) and wnd-null mutants (wnd3/Df) at embryonic stage early 15, late 15 and 16. Analogous segments are identified by neuropil HRP staining (top row). (C–D) Quantification of VGlut intensity in (C) motoneuron cell bodies and (D) NMJ presynaptic terminals for wt and wnd-null mutants at different embryonic stages and in third instar larvae. VGlut expression first appears in cell bodies at embryonic stage 15 (C), corresponding with the onset of NMJ synaptogenesis, but does not appear at NMJ terminals until stage 16 (D). As the NMJ matures and expands throughout development, VGlut intensity, which is predominantly localized to NMJ terminals, continues to increase (note the logarithmic scale). Quantification in both (C) and (D) is normalized to intensity for wt (w118) animals at stage 16. (E) Representative images of SytI immunostaining in CNS neuropil and NMJs. SytI intensity is elevated in wnd3/Df mutants at embryonic stage 16. (F) Quantification of SytI intensity from (E), normalized to intensity for wt (w118) animals. (G) Quantification of puc-lacZ expression in third instar larvae that ectopically express luciferase or presynaptic components (Brp, SytI, VGlut and VGlutA470V) via the Gal4/UAS system. Pan neuronal Gal4 (BG380) was used to drive expression of UAS-lines. All data were represented as mean ±SEM; ****p<0.0001, **p<0.01, *p<0.05, Tukey test for multiple comparison; Scale bar, 20 μm. For additional data, see Figure 8—figure supplement 1.

Figure 8.

Figure 8—figure supplement 1. Brp and VGlut localization to NMJ terminals through early stages of synaptic development are not altered in wnd null mutants, (related to Figure 8).

Figure 8—figure supplement 1.

VGlut (second row) and Brp (third row) immunostaining at ISNb NMJ terminals for wt (w118) and wnd3/Df null mutants at embryonic stage 15, 16 and 17. The top row shows the NMJ morphology at each stage based on staining with HRP which reveals the axonal and nerve terminal membrane. Scale bar, 10 μm.

Wnd signaling is sensitive to misregulated presynaptic proteins

Across our cumulative observations, we noticed an interesting correlation between the activity of Wnd signaling and the appearance of presynaptic proteins localized in motoneuron cell bodies. During development, the role of Wnd in restraining VGlut was most significant immediately after the onset of VGlut expression in cell bodies and before its transport to synaptic terminals (Figure 8B–D). The same Wnd dependent pattern was observed for SytI (Figure 8E–F). Similarly, in unc-104 mutants, the highly elevated activity of Wnd signaling to restrain the expression of presynaptic components coincided with their accumulation in neuronal cell bodies (Figure 7).

If mislocalized or misregulated presynaptic proteins play a causal role in the induction of Wnd signaling, then over-expression of these proteins should lead to an activation of Wnd signaling independently of their impact on synaptic function. To test this, we individually overexpressed three different components pan-neuronally: Brp, SytI and VGlut. Each caused a significant induction of the Wnd responsive puc-lacZ reporter (Figure 8G). In contrast, over-expression of other proteins (Luciferase (Figure 8G) and membrane localized GFP (Figure 4B), had no effect. Over-expression of VGlut can also lead to increased synaptic transmission (Daniels et al., 2011), however we observed that over-expression of a non-functional VGlut transgene, VGlutA470V, which has no effect upon synaptic physiology (Daniels et al., 2011), caused a similar induction of puc-lacZ expression (Figure 8G). These results, taken together with the cell autonomous nature of Wnd activation in unc-104 mutants (Figure 2—figure supplement 1), suggest that Wnd signaling is sensitive to accumulations of presynaptic proteins in cell bodies.

Discussion

Synaptic defects in unc-104 mutants are caused by activation of the Wnd/DLK signaling pathway

The kinesin-3 family member Unc-104/KIF1A is known to be an important mediator of synaptic development and maintenance: mutations in unc-104 and its homologues inhibit the localization of SV and AZ precursors to nascent synapses, causing profound synaptic defects (Barkus et al., 2008; Hall and Hedgecock, 1991; Kern et al., 2013; Li et al., 2016; Niwa et al., 2016; Otsuka et al., 1991; Pack-Chung et al., 2007; Yonekawa et al., 1998; Zhang et al., 2016). While these synaptic defects have been considered logical outcomes of defective transport, we found that major aspects, including impaired AZ addition and development of synaptic boutons, are not mediated by a direct transport role for the Unc-104 protein. Rather, the unc-104null;wnd double mutants reveal separable functions for Unc-104: (1) Transport of SV precursors to synaptic terminals is likely a direct function, since the failure to deliver adequate VGlut, Syt1 and CSP persists in unc-104null;wnd double mutants, and the Unc-104 homologue KIF1A physically interacts with SV precursors (Okada et al., 1995). (2) Regulation of bouton formation and localization of AZs is an indirect function, since this defect can be rescued in unc-104null;wnd double mutants (in the complete absence of Unc-104 function).

With the knowledge that the Wnd/DLK signaling pathway is activated in unc-104 mutants, it is now worth considering whether it contributes to other phenotypes previously described for Unc-104 and its homologues in other species. These include impaired dendritic branching (Kern et al., 2013), increased microtubule dynamics (Chen et al., 2012), and failed neuronal remodeling (Park et al., 2011). It now becomes likely that these defects are mediated by Wnd/DLK, since Wnd/DLK signaling has previously been shown to influence microtubule growth (Hirai et al., 2011; Lewcock et al., 2007), neuronal remodeling (Kurup et al., 2015; Marcette et al., 2014) and dendrite growth (Wang et al., 2013). Unc-104/Kif1a mutants also show accelerated motor circuit dysfunction in aging animals (Li et al., 2016), impaired BDNF-stimulated synaptogenesis (Kondo et al., 2012) and neuronal death (Yonekawa et al., 1998). These phenotypes may also be facilitated by activation of DLK, which impairs synaptic development and function (this study and Nakata et al., 2005), and has also been shown to mediate neuronal death in some contexts (Chen et al., 2008; Pozniak et al., 2013; Welsbie et al., 2013; Welsbie et al., 2017). Human mutations in KIF1A have been associated with hereditary spastic paraplegia (SPG30) (Fink, 2013), and hereditary sensory and autonomic neuropathy type IIC (HSN2C) (Rivière et al., 2011). The possibility that DLK activation mediates deleterious aspects of these disease pathologies becomes an interesting future question.

The Wnd/DLK pathway is sensitive to defects in Unc-104-mediated transport

How does the Wnd pathway become activated in unc-104 mutants? The mechanism(s) that lead to activation of Wnd and its DLK homologues are of general interest for their roles in axonal regeneration as well as degeneration and neuronal death. In addition to axonal injury (Watkins et al., 2013; Welsbie et al., 2013; Xiong et al., 2010), disruption of microtubule and/or actin/cortical cytoskeleton can lead to activation of DLK (Valakh et al., 2013, 2015). Moreover, many studies have noted a role for DLK signaling in mediating structural changes in neurons downstream of manipulations that disrupt cytoskeleton (Bounoutas et al., 2011; Marcette et al., 2014; Massaro et al., 2009). Since the cytoskeleton is a closely functioning partner of all motor proteins, and is also implicitly affected by axonal injury, it is possible that these manipulations share a similar underlying mechanism with that of unc-104 mutations. While disruption of cytoskeleton should impair transport by many motor proteins, mutations that impair kinesin-1 and dynein do not lead to activation of Wnd (Figure 4 and Xiong et al., 2010). This specificity suggests that disruption of Unc-104 mediated transport, potentially via mislocalization of Unc-104’s cargo, mediates Wnd/DLK’s activation after cytoskeletal disruption and potentially after axonal injury.

This line of reasoning leads to further consideration of Unc-104’s cargo. Our live imaging data do not support a simple model that Wnd is a cargo of Unc-104 (Figure 7—figure supplement 2). Known cargo of Unc-104 are important for the assembly and function of synapses (Goldstein et al., 2008), so does Wnd activation occur in response to an impairment in synaptic assembly or function? We think this is unlikely, since mutations in rab3-gef, liprin-α and vglut, which impair presynaptic assembly and function, do not cause activation of Wnd (data not shown).

Instead, we note an intriguing correlation between the localization and abundance of presynaptic proteins with Wnd’s activation: Wnd signaling becomes activated in unc-104 mutants, which accumulate presynaptic proteins in the neuronal cell body. We noticed a similar role for endogenous Wnd in wild type neurons during the onset of embryonic NMJ development (Figure 8). These stages correspond to the onset of synaptic protein expression, before substantial transport to synaptic terminals, hence represent a time in which levels are high in the cell body. Consistent with the idea that Wnd signaling is sensitive to mislocalized presynaptic proteins, ectopic overexpression of several different presynaptic proteins caused an elevation in Wnd signaling in uninjured neurons (Figure 8G). These observations suggest a model that accumulations of presynaptic proteins, as a feature of aberrant cargo transport, are ‘sensed’ by Wnd signaling (Figure 9).

Figure 9. Model: Wnd/DLK signaling promotes synaptic defects by restraining total levels of presynaptic proteins when Unc-104’s function is reduced.

Figure 9.

The formation and maintenance of synapses require the synthesis of presynaptic components (including AZ components (magenta dots) and SV components (green dots), which ultimately assemble into mature AZs (magenta ‘T’ bars) and SVs (green circles) at synapses. SV components are transported in the form of SV precursors (SVPs), while AZ components are thought to be transported via association with dense core vesicles (DCVs) (Shapira et al., 2003). While much remains to be learned about the mechanism by which individual synaptic components are transported, we can infer from this study that the Unc-104 kinesin (black) plays an essential role in the transport of SV components but not AZ components (which may be carried by an additional kinesin, indicated in gray). When Unc-104’s function is impaired/reduced, presynaptic components accumulate in cell bodies. However Wnd signaling activation reduces the accumulations by reducing total expression levels of presynaptic components. This reduction eventually manifests as a reduction in synapse number and mismatched pre- and postsynaptic structures.

Wnd/DLK signaling restrains the expression of presynaptic proteins: mechanism and relevance

While previous studies in C. elegans (Nakata et al., 2005; Yan et al., 2009) have suggested that DLK activation may impair synaptic development (altering the size and spacing of active zones), the regulation of total levels of presynaptic proteins and the relationship with Unc-104 provides a new view into Wnd/DLK’s function and mechanism. In addition to VGlut, SytI, CSP-1, Brp, Liprin-α and Cac, we suspect that Wnd signaling restrains the expression of a cohort of presynaptic proteins. Regulation of multiple targets required for synapse development and maintenance can explain the severe defects in unc-104-hypomorph mutants, and the dramatic suppression by disruption of the Wnd pathway (Figures 2 and 3). In support of this idea, presynaptic defects in unc-104-hypomorph mutants can be partially rescued by overexpressing Brp (Kern et al., 2013) or Rab3 (Zhang et al., 2016).

It is interesting to consider that the targets of Wnd regulation are also abundant presynaptic proteins, and are thought to be major cargo for axonal transport (Figure 9). Down-regulation of these proteins in response to defects in their transport or after axonal damage may comprise a stress response mechanism to prevent unwanted buildup or wasted cellular resources. This role may allow neurons adapt to stresses that impair axonal transport by counteracting cargo buildup. But the resulting reduction in synaptic protein levels can also be maladaptive, leading over time to synapse failure and/or loss. This feature may contribute to synaptic pathologies associated with defects in axonal transport.

How does Wnd signaling regulate presynaptic proteins? The regulation of the vglut-promoter-DsRed reporter and requirement for the Fos transcription factor suggests the involvement of transcriptional regulation (Figure 7G–H), and we also noticed mildly increased levels of Brp, VGlut and Cac transcripts in unc-104;wnd double mutants (data not shown). However we are limited in our ability to detect total changes in mRNA and protein levels from whole nerve cord preparations by the fact that the Wnd signaling pathway may not be acting in all cell types. It is also possible that additional post-transcriptional mechanisms, such as regulation of protein stability or translation, or bulk turnover via autophagy, factor into the regulation of presynaptic proteins by Wnd. A recent study has suggested that DLK may activate the integrated stress response pathway in mammalian neurons (Larhammar et al., 2017). On the other hand, previous studies have separately linked Unc-104, Wnd signaling and AP-1 (Fos) to autophagy (Guo et al., 2012; Shen and Ganetzky, 2009; Stavoe et al., 2016). It will be interesting to determine whether translation and/or autophagy contribute to the regulation of presynaptic proteins by Wnd signaling.

Many previous studies have reported links between JNK signaling and kinesin-driven transport (Verhey and Hammond, 2009), with some observations suggesting that JNK signaling may directly regulate the function of kinesin-1, modulating its cargo binding, affinity for microtubules and its processivity (Fu and Holzbaur, 2013; Horiuchi et al., 2007; Morfini et al., 2006; Stagi et al., 2006; Sun et al., 2011). Our finding of a separate role for JNK signaling in regulating the abundance of transported cargo adds a new layer of complexity to interpreting phenotypes of axonal transport defects. A commonly described defect is the presence of accumulations of cargo within axons, referred to as ‘traffic jams’. These defects have been noted for many different mutations, including kinesin-1 and dynein subunits (Gindhart et al., 1998; Hurd and Saxton, 1996; Martin et al., 1999), and also in mutants for wnd and other members of JNK signaling pathways (Bowman et al., 2000; Horiuchi et al., 2005, 2007). Does a failure to regulate excess protein cargo contribute to the presence of the jams? Intriguingly, unc-104 mutations do not cause this type of ‘traffic jams’ in axons, but instead leads to accumulations of synaptic proteins in cell bodies, which correlates with the activation of Wnd signaling.

Finally, it is interesting to compare Wnd’s role in tuning levels of presynaptic proteins with previously identified roles for DLK in promoting cell death (Chen et al., 2008; Huntwork-Rodriguez et al., 2013; Pozniak et al., 2013; Watkins et al., 2013; Welsbie et al., 2013). While Kif1a mutant mice show early signs of neuronal death and degeneration, which may potentially be mediated by activation of DLK, unc-104 mutants in C. elegans and Drosophila lack hallmarks of cell death and synaptic degeneration (Hall and Hedgecock, 1991; Kern et al., 2013; Pack-Chung et al., 2007). In analogy with other stress response pathways, regulation of presynaptic proteins may comprise a first order response that may facilitate adaptation to stress, while cell death could be the consequence when compensatory mechanisms fail. Inhibition of synaptic proteins is, alone, a pathology that becomes relevant for long term maintenance of synapses and their function over time, since synthesis and transport of new synaptic proteins likely needs to occur throughout the long lifespan of a neuron. Interestingly, previous studies have linked activation of JNK signaling to synapse loss in aged animals (Ma et al., 2014; Sclip et al., 2014; Voelzmann et al., 2016). Exciting future work lies ahead to further understand DLK’s activation and its consequences in different models of neuronal injury, disease, and aging.

Note added at proof

Since acceptance of this work, a new publication has shown that DLK signaling contributes to pathology in multiple mouse models of neurodegenerative diseases (Le Pichon et al., 2017). This study provides further suggestive evidence that DLK signaling activation can contribute to synapse loss in disease conditions.

Materials and methods

Drosophila stocks

The following strains were used in this study: Canton-S, hiwΔN (Wu et al., 2005), wnd1, wnd3, wnddfED228(Collins et al., 2006), UAS-wndkinase dead-GFP(Xiong et al., 2010), MiMIC-wnd-GFP (Venken et al., 2011), unc-104O3.1, unc-104P350 (Barkus et al., 2008), unc-104bris (Medina et al., 2006), unc-104d11204 (Thibault et al., 2004), unc-10452 (Pack-Chung et al., 2007); UAS-cacophony-GFP(Kawasaki et al., 2004), OK6-Gal4 (Aberle et al., 2002), OK319-Gal4, OK371-Gal4(Mahr and Aberle, 2006), m12-Gal4(Ritzenthaler et al., 2000), BG380-Gal4(Budnik et al., 1996),elav-Gal4C155(Lin and Goodman, 1994), UAS-fosDN (Eresh et al., 1997), UAS-bskDN (Weber et al., 2000),khc8, khc27(Brendza et al., 1999), khck13314(Spradling et al., 1999), Liprin-αF3ex15, Liprin-αR60(Kaufmann et al., 2002), UAS-VGlut-GFP, UAS-VGlutA470V-GFP (Grygoruk et al., 2010), UAS-Brp-GFP (Bloomington (BL) 36291 and 36292), UAS-SytI-GFP (BL6925 and 6926), Rab7-liprin-α-GFP(Zhang et al., 2016), Rab3rup(Graf et al., 2009), UAS-YFP-Rab3, UAS-YFP-Rab3Q80L, UAS-YFP-Rab3T35N(Zhang et al., 2007), uas-mcd8-ChRFP (Schnorrer, 2009.5.11), puc-lacZE69(Martín-Blanco et al., 1998), vglut promoter-DsRed (gifts from Daniels and Diantonio), RNAi lines: moody RNAi (control), Octβ2R RNAi (vdrc 104524, control), unc-104 RNAi (vdrc 23465, I and TRiP BL43264, II), wnd RNAi (vdrc 103410 and vdrc 26910), Rab3 RNAi (TRiP BL31691 and BL34655), UAS-Dcr2 was a gift from Stephan Thor (Linköping Université, Linköping Sweden). Flies were raised at 25°C or 29°C (as indicated for certain RNAi knock-down) on standard Semidefined yeast-glucose media (Backhaus et al., 1984).

To generate vglut-DsRed reporter flies, genomic sequence spanning 5.3 upstream of the ATG start codon for vglut (CG9887) was cloned into a plasmid derived from pCaSpeR-AUG-bGal (Thummel et al., 1988), in which lacZ was replaced with DsRed.T4-NLS (Barolo et al., 2004) coding sequence, such that the expressed DsRed would concentrate in the nucleus.

Immunocytochemistry

Third-instar larvae were dissected in ice-cold PBS, then fixed in 4% formaldehyde (FA) in PBS/HL3 solution for 3 min for Cac-GFP, 10 min for Brp and GluRIII/GluRIIC staining or 20 min for other antibody staining, followed by blocking in PBS with 0.1% Triton (PBT) containing 5% Normal Goat Serum (NGS) block for 30 min. Control and experimental animals were always dissected, fixed and stained in the same condition and imaged in parallel using identical confocal settings.

Embryos were dissected, fixed and stained as described in (Featherstone et al., 2009; Lee et al., 2009). In brief, embryos were collected for 30–60 min on Molasses plates and kept in 18°C (for stage 14 to 16) or 25°C (for stage 17) overnight. Early-stage embryos (14-16) were dechorionated, sorted (based on GFP), staged (based on gut morphology [Hartenstein, 1993]) and dissected (tungsten needles) on negatively charged slides. Stage 17 embryos (20–21 hr AEL) were dissected with Vet glue (Vetbond) in PBS (PH = 7.3) on Sylgard-coated coverslips. Bouin’s fixation for 5 min was used for all antibodies staining but Synapsin staining (4% PFA for 25 min). The examined unc-104-null alleles include P350/P350 and 52/52.

Primary antibody and secondary antibody incubations were conducted in PBT containing 5% NGS at 4°C overnight and at room temperature for 2 hr, respectively, with three 10 min washes in PBT after each antibody incubation. The following primary antibodies and dilutions were used: ms anti-Brp (DSHB Cat# nc82 Lot# RRID:AB_2314866), 1:200; ms anti-Synapsin (DSHB Cat# 3C11 (anti SYNORF1) Lot# RRID:AB_528479), 1:50; ms anti-CSP-1 (DSHB Cat# DCSP-1 (ab49) Lot# RRID:AB_2307340), 1:100; ms anti-DLG(DSHB Cat# 4F3 anti-discs large Lot# RRID:AB_528203), 1:1000; Rb anti-GluRIII (gift from Diantonio lab), 1:2500; Rb anti-SytI (gifts from Noreen Reist, Mackler et al., 2002), 1:400; Rb anti-Unc-104(Pack-Chung E; Nat Neurosci. 2007 Cat# unc-104 Lot# RRID:AB_2569094), 1:500; ms anti-lac-Z (DSHB Cat# 40-1a Lot# RRID:AB_528100), 1:100; Rb anti-Phospho-Smad1/5 (Cell signaling),1:100; Rb anti-DsRed (Clontech Laboratories, Inc. Cat# 632496 Lot# RRID:AB_10013483Clontech), 1:1000; Rat anti-elav (DSHB Cat# Rat-Elav-7E8A10 anti-elav Lot# RRID:AB_528218), 1:50; A488 rabbit anti-GFP (Molecular Probes Cat# A-21311 also A21311 Lot# RRID:AB_221477), 1:1000 and Alexa488/cy3/Alexa647 conjugated Goat anti-HRP (Jackson ImmunoResearch), 1:300. Rabbit anti-VGlut (gift from Diantonio lab), 1:10000, staining was carried as described in Daniels et al. (2008). For secondary antibodies we used Cy3- or A488-conjugated goat anti-rabbit or anti-mouse 1:1000 (Invitrogen).

Imaging and analysis

Confocal images were collected as described in (Füger et al., 2012; Xiong et al., 2010). Similar settings were used to collect all compared genotypes and conditions.

The identification and quantification of the % unapposed PSD was based on manual counts of the total number of individual GluRIII-labeled puncta (on either muscle 4 or 26/27/29, where indicated), scored for the presence or absence of an apposing AZ component (Brp or Liprin-α-GFP). To affirm that AZ components were indeed completely absent, confocal settings and brightness levels were optimized for the weakest signals in unc-104 mutants. Since the same settings were used for all genotypes some pixels for AZ components were necessarily over-exposed in the wt controls. For measurements of intensity levels, using Volocity software, only raw images acquired together using the same confocal settings were compared. To measure VGlut and Brp levels in axons and NMJs, we used staining for HRP (which labels neuronal membrane) to define the region of interest. For cell bodies, we selected the signal above a specified threshold, (To specify the threshold, we checked the background signal and examined the fluorescence signal distribution from multiple images. The threshold was chosen to be as at least 3 fold higher than the background and 1 SD higher than the center of the distribution. The same threshold was applied to all compared images). To estimate the total VGlut or Brp level within a single motoneuron (Figure 6), we summed measurements of: (a) total intensity for individual cell bodies (located in the dorsal midline of the ventral nerve cord), (b) total intensity for individual NMJ nerve terminals at muscle 4, and (c) estimated total intensity within a motoneuron axon, calculated from mean intensity in axonal segments, based on the assumption of 32 motoneuron axons per nerve and an average axon length of 1 mm.

When imaging nerve cord, we used 0.8 μm step size for the z-stack and focused on the posterior and central nerve cord, corresponding to A4-A8. When imaging axons or the NMJ, we used 0.4 μm step size for z-stacks. Axonal segments were imaged 900 μm away from the nerve cord. NMJ images were collected at segment A3 for muscle 4 or (when using the m12Gal4 driver) for muscle 26, 27 and 29, which are innervated by the SNc neuron. puc-lacZ level was measured within the nucleus region for motoneurons, selected by P-smad staining in the dorsal regions of A4-A8 in the ventral nerve cord.

For live imaging analysis of GFP-wnd-KD transport, third instar larvae were dissected in the center of a circle reinforcement label (Avery) in HL3 solution (Stewart et al., 1994) with 0.45 mM calcium. Larvae were pinned at the head, tail and 2 lower corners, the pins were then pushed into sylgard so that the coverslip could lie directly on top of the reinforcement label (and the larva), and excess HL3 solution was removed before imaging on an inverted microscope. Images were collected at 0.3 Hz for 5 min at 40x magnification in segmental nerves at a location 900 μm distal to the nerve cord. The images were then processed in imageJ with a kymograph plugin (Jens Rietdorf and Arne Seitz) and further analyzed in MATLAB with a program written to determine vesicle segmental speed and duration (described in Ghannad-Rezaie et al., 2012).

Western blot

25–30 3rd brains were collected in PBS and homogenized for each sample. The following antibodies and dilutions were used: rb anti-Wnd 4–3 (Collins et al., 2006) 1:700; rb anti-VGlut (Daniels et al., 2008, 1:10000; ms anti-Brp (NC82), 1:100; ms anti-β-tubulin (1E7, DSHB), 1:1000; and rb anti-unc-104 (Gift from Tom Schwarz lab), 1:500. The blots were probed with HRP conjugated secondary antibodies: Gt at-ms and Gt at-rb at the dilution of (1:5000) and imaged with either film or an Odyssey CLx imager (LI-COR).

Axonal regeneration

The nerve crush assay was carried out as described (Xiong et al., 2010), and animals were fixed either 9 or 18 hr after the injury. Axonal regeneration (sprouting) was quantified by measuring the number of injured axons that contained more than 5 branches at 9 hr, and the length of the longest branch at 18 hr.

Electrophysiology

Third instar larvae were dissected within 3 min in HL3 solution containing 0.65 mM Calcium at 22°C. Muscle 6 at segment A3 was located by the use of an OLYMPUS BX51WI scope with a 10x water objective and then recorded intracellularly with an electrode made of thick wall glass (1.2 mm x 0.69 mm) pulled by SUTTER PULLER P-97. Amplifier GeneClamp 500B and digitizer Digidata 1440A were used. The recording was only used if the resting potential was negative to −60 mV and muscle resistance was >5 mΩ. A GRASS S48 STIMULATOR was used to obtain a large range of stimulation voltage range (1–70V). We noticed that hiw mutants and unc-104 mutants required a higher stimulus to recruit the 2nd axon that intervenes Muscle 6 (10–40V were required in hiw and unc-104 mutants, as opposed to 2–8V in wild type). To ensure that we could always recruit both axons, for each muscle we tested a range of stimulation voltage (1–70V) to find the threshold which triggered the largest response within the testing range. A stimulus slightly larger than this threshold was then used at a frequency of 0.2 Hz and duration of 1 ms for EJP measurements. Axon Laboratory software was used for acquisition and the Mini Analysis program (Synaptosoft Inc) was used for analysis of mEJP frequency and amplitude. Parameters for Mini Analysis were set as: 0.2 (threshold), 1 (area threshold), 30,000 (period to search a local maximum), 40,000 (period to search a decay time), 40,000 (time before a peak for baseline), 20,000 (period to average a baseline), 0.6 (fraction of peak to find a decay time) and detect complex peak.

Quantal content and EJP amplitudes were corrected for non-linear summation using the revised Martin correction factor as described in (Kim et al., 2009; Morgan and Curran, 1991). In brief, to accurately estimate the potential change if units sum linearly, the following equation was applied when EJP amplitude was larger than 15% of Eresting potential: corrected EJP = EJP/(1 f(EJP/Edriving force)), where Edriving force=Eresting potential-Ereversal potential and f = the membrane capacitance factor (Δt/τ). At the Drosophila NMJ, Ereversal potential is estimated around 0 mV, Eresting potential from our recordings is around −70 mV and f = 0.55 (Kim et al., 2009; Morgan and Curran, 1991).

Data analysis

The minimum sample size for animal lethality and motility was determined by power analysis using: sample size = 2*SD2(Zα/2+Zβ)2/d2, where SD = standard deviation, d = effect size and Zα/2 or Zβ are constants when α = 0.5 and β = 80% (Jung, 2010). For other assays (including synapse morphology, electrophysiology, puc-lacZ expression and axonal sprouting), the sample size and biological replicate number was determined for comparison with previous studies (Xiong et al., 2010; Xiong et al., 2012; Collins et al., 2006; Kern et al., 2013; Ghannad-Rezaie et al., 2012). For axonal regeneration (sprouting), a total of 30 axons were measured from 8 individual animals. For comparison of intensities via confocal imaging and for structural analysis of synapse number and bouton number, at least 12 clusters of motoneurons within dorsal abdominal segments 2–5 (which contain 10 cell bodies per cluster), taken from at least 6 animals (2–3 clusters per animal) or 12 NMJs from at least 6 animals (2 NMJs per animal) were examined per genotype for each criteria quantified. For analysis of axonal transport, kymographs were generated and analyzed from a total of 60 axons from 10 individual animals. For electrophysiology, for each genotype we analyzed 35 individual EJP traces and a 45s-long mEJP trace per muscle for at least 11 muscles (derived from at least 6 independent animals – 2 muscles per animal).

Data was analyzed by either Student’s t-test (two groups) or one-way ANOVA followed by Tukey test (multiple groups). Normality of datasets for parametric/ANOVA was confirmed using the D’Agostino-Pearson-omnibus K2 test. p values smaller than 0.05 were considered statistically significant. All p values are indicated as *p<0.05, **p<0.01, and ***p<0.001 and ****p<0.0001. Data are presented as mean ±SEM.

Acknowledgements

We thank Thomas Schwarz, Noreen Reist and Aaron DiAntonio for sharing antibody and Drosophila reagents, Dave Featherstone, Crystal Miller and Heather Broihier for tips and guidance on embryo studies, Mostafa Ghannad-Rezaie for help with kymograph analysis, Joeph Knoedler, Samhitha Raj and Chen Zhang, for helpful technical discussions, Raphael Zinser, Jeannine Kern, Christian, and Dhwani Joshi for technical support, Dion Dickman, Pragya Goel, Aaron DiAntonio and Alexandra Russo for discussion of unpublished electrophysiology data, and Robert Kittel, Ryan Insolera, Laura Smithson, and Dhananjay Yellajoshyula for discussions of data and paper drafts. Richard Daniels generated and shared vglut-DsRed fly lines and gave helpful technical advice for electrophysiology. This work was supported by a grant from the National Institute of Health (NS069844) to CAC and the Deutsche Forschungsgemeinschaft (DFG, RA 1804/2-1) to TMR In addition the Chica and Heinz Schaller Foundation (CHS) to TRJ supported TMR.

Funding Statement

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Contributor Information

Tobias M Rasse, Email: tobias.rasse@googlemail.com.

Catherine A Collins, Email: collinca@umich.edu.

K VijayRaghavan, National Centre for Biological Sciences, Tata Institute of Fundamental Research, India.

Funding Information

This paper was supported by the following grants:

  • National Institutes of Health RO1 NS069844 to Catherine A Collins.

  • Deutsche Forschungsgemeinschaft RA 1804/2-1 to Tobias Rasse.

  • Chica and Heinz Schaller Foundation to Thomas Robert Jahn.

Additional information

Competing interests

No competing interests declared.

Author contributions

Conceptualization, Data curation, Formal analysis, Validation, Investigation, Methodology, Writing—original draft, Writing—review and editing.

Conceptualization, Data curation, Formal analysis, Funding acquisition, Validation, Investigation, Methodology, Writing—review and editing.

Formal analysis, Investigation, Methodology.

Formal analysis, Validation, Investigation, Methodology.

Conceptualization, Data curation, Investigation, Methodology, Writing—review and editing.

Conceptualization, Investigation, Writing—review and editing.

Investigation, Methodology.

Discussion of data, Resources and Funding acquisition for Tobias Rasse.

Resources, Formal analysis, Supervision, Methodology, Writing—review and editing.

Conceptualization, Resources, Data curation, Supervision, Funding acquisition, Investigation, Methodology, Writing—original draft, Project administration, Writing—review and editing, writing - conceptualization and final paper.

Conceptualization, Resources, Data curation, Supervision, Funding acquisition, Investigation, Methodology, Writing—original draft, Project administration, Writing—review and editing.

Additional files

Transparent reporting form
DOI: 10.7554/eLife.24271.030

References

  1. Aberle H, Haghighi AP, Fetter RD, McCabe BD, Magalhães TR, Goodman CS. wishful thinking encodes a BMP type II receptor that regulates synaptic growth in Drosophila. Neuron. 2002;33:545–558. doi: 10.1016/S0896-6273(02)00589-5. [DOI] [PubMed] [Google Scholar]
  2. Ahmari SE, Buchanan J, Smith SJ. Assembly of presynaptic active zones from cytoplasmic transport packets. Nature Neuroscience. 2000;3:445–451. doi: 10.1038/74814. [DOI] [PubMed] [Google Scholar]
  3. Babetto E, Beirowski B, Russler EV, Milbrandt J, DiAntonio A. The Phr1 ubiquitin ligase promotes injury-induced axon self-destruction. Cell Reports. 2013;3:1422–1429. doi: 10.1016/j.celrep.2013.04.013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Backhaus BE, Sulkowski E, Schlote FW. A semi-synthetic general purpose medium for D. melanogaster. Drosophila Information Services. 1984;60:210–212. [Google Scholar]
  5. Bae H, Chen S, Roche JP, Ai M, Wu C, Diantonio A, Graf ER. Rab3-GEF Controls Active Zone Development at the Drosophila Neuromuscular Junction. eNeuro. 2016;3 doi: 10.1523/ENEURO.0031-16.2016. [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Barkus RV, Klyachko O, Horiuchi D, Dickson BJ, Saxton WM. Identification of an axonal kinesin-3 motor for fast anterograde vesicle transport that facilitates retrograde transport of neuropeptides. Molecular Biology of the Cell. 2008;19:274–283. doi: 10.1091/mbc.E07-03-0261. [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Barolo S, Castro B, Posakony JW. New Drosophila transgenic reporters: insulated P-element vectors expressing fast-maturing RFP. BioTechniques. 2004;36:436–442. doi: 10.2144/04363ST03. [DOI] [PubMed] [Google Scholar]
  8. Bounoutas A, Kratz J, Emtage L, Ma C, Nguyen KC, Chalfie M. Microtubule depolymerization in Caenorhabditis elegans touch receptor neurons reduces gene expression through a p38 MAPK pathway. PNAS. 2011;108:3982–3987. doi: 10.1073/pnas.1101360108. [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Bowman AB, Kamal A, Ritchings BW, Philp AV, McGrail M, Gindhart JG, Goldstein LS. Kinesin-dependent axonal transport is mediated by the sunday driver (SYD) protein. Cell. 2000;103:583–594. doi: 10.1016/S0092-8674(00)00162-8. [DOI] [PubMed] [Google Scholar]
  10. Brace EJ, Wu C, Valakh V, DiAntonio A. SkpA restrains synaptic terminal growth during development and promotes axonal degeneration following injury. Journal of Neuroscience. 2014;34:8398–8410. doi: 10.1523/JNEUROSCI.4715-13.2014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Brendza KM, Rose DJ, Gilbert SP, Saxton WM. Lethal kinesin mutations reveal amino acids important for ATPase activation and structural coupling. Journal of Biological Chemistry. 1999;274:31506–31514. doi: 10.1074/jbc.274.44.31506. [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Budnik V, Koh YH, Guan B, Hartmann B, Hough C, Woods D, Gorczyca M. Regulation of synapse structure and function by the Drosophila tumor suppressor gene dlg. Neuron. 1996;17:627–640. doi: 10.1016/S0896-6273(00)80196-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Cao J, Ni J, Ma W, Shiu V, Milla LA, Park S, Spletter ML, Tang S, Zhang J, Wei X, Kim SK, Scott MP. Insight into insulin secretion from transcriptome and genetic analysis of insulin-producing cells of Drosophila. Genetics. 2014;197:175–192. doi: 10.1534/genetics.113.160663. [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Chen L, Stone MC, Tao J, Rolls MM. Axon injury and stress trigger a microtubule-based neuroprotective pathway. PNAS. 2012;109:11842–11847. doi: 10.1073/pnas.1121180109. [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Chen X, Rzhetskaya M, Kareva T, Bland R, During MJ, Tank AW, Kholodilov N, Burke RE. Antiapoptotic and trophic effects of dominant-negative forms of dual leucine zipper kinase in dopamine neurons of the substantia nigra in vivo. Journal of Neuroscience. 2008;28:672–680. doi: 10.1523/JNEUROSCI.2132-07.2008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Choquet D, Triller A. The dynamic synapse. Neuron. 2013;80:691–703. doi: 10.1016/j.neuron.2013.10.013. [DOI] [PubMed] [Google Scholar]
  17. Collins CA, Wairkar YP, Johnson SL, DiAntonio A. Highwire restrains synaptic growth by attenuating a MAP kinase signal. Neuron. 2006;51:57–69. doi: 10.1016/j.neuron.2006.05.026. [DOI] [PubMed] [Google Scholar]
  18. Daniels RW, Gelfand MV, Collins CA, DiAntonio A. Visualizing glutamatergic cell bodies and synapses in Drosophila larval and adult CNS. The Journal of Comparative Neurology. 2008;508:131–152. doi: 10.1002/cne.21670. [DOI] [PubMed] [Google Scholar]
  19. Daniels RW, Miller BR, DiAntonio A. Increased vesicular glutamate transporter expression causes excitotoxic neurodegeneration. Neurobiology of Disease. 2011;41:415–420. doi: 10.1016/j.nbd.2010.10.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Eresh S, Riese J, Jackson DB, Bohmann D, Bienz M. A CREB-binding site as a target for decapentaplegic signalling during Drosophila endoderm induction. The EMBO Journal. 1997;16:2014–2022. doi: 10.1093/emboj/16.8.2014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Featherstone DE, Chen K, Broadie K. Harvesting and preparing Drosophila embryos for electrophysiological recording and other procedures. Journal of Visualized Experiments. 2009:3–5. doi: 10.3791/1347. [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. Feoktistov AI, Herman TG. Wallenda/DLK protein levels are temporally downregulated by Tramtrack69 to allow R7 growth cones to become stationary boutons. Development. 2016;143:2983–2993. doi: 10.1242/dev.134403. [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Fink JK. Hereditary spastic paraplegia: clinico-pathologic features and emerging molecular mechanisms. Acta Neuropathologica. 2013;126:307–328. doi: 10.1007/s00401-013-1115-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Fu MM, Holzbaur EL. JIP1 regulates the directionality of APP axonal transport by coordinating kinesin and dynein motors. The Journal of Cell Biology. 2013;202:495–508. doi: 10.1083/jcb.201302078. [DOI] [PMC free article] [PubMed] [Google Scholar]
  25. Fu MM, Holzbaur EL. Integrated regulation of motor-driven organelle transport by scaffolding proteins. Trends in Cell Biology. 2014;24:564–574. doi: 10.1016/j.tcb.2014.05.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Füger P, Sreekumar V, Schüle R, Kern JV, Stanchev DT, Schneider CD, Karle KN, Daub KJ, Siegert VK, Flötenmeyer M, Schwarz H, Schöls L, Rasse TM. Spastic paraplegia mutation N256S in the neuronal microtubule motor KIF5A disrupts axonal transport in a Drosophila HSP model. PLoS Genetics. 2012;8:e1003066. doi: 10.1371/journal.pgen.1003066. [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Gerdts J, Summers DW, Milbrandt J, DiAntonio A. Axon Self-Destruction: New Links among SARM1, MAPKs, and NAD+ Metabolism. Neuron. 2016;89:449–460. doi: 10.1016/j.neuron.2015.12.023. [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. Ghannad-Rezaie M, Wang X, Mishra B, Collins C, Chronis N. Microfluidic chips for in vivo imaging of cellular responses to neural injury in Drosophila larvae. PLoS One. 2012;7:e29869. doi: 10.1371/journal.pone.0029869. [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. Gindhart JG, Desai CJ, Beushausen S, Zinn K, Goldstein LS. Kinesin light chains are essential for axonal transport in Drosophila. The Journal of Cell Biology. 1998;141:443–454. doi: 10.1083/jcb.141.2.443. [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Goldstein AY, Wang X, Schwarz TL. Axonal transport and the delivery of pre-synaptic components. Current Opinion in Neurobiology. 2008;18:495–503. doi: 10.1016/j.conb.2008.10.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  31. Graf ER, Daniels RW, Burgess RW, Schwarz TL, DiAntonio A. Rab3 dynamically controls protein composition at active zones. Neuron. 2009;64:663–677. doi: 10.1016/j.neuron.2009.11.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  32. Grygoruk A, Fei H, Daniels RW, Miller BR, Diantonio A, Krantz DE. A tyrosine-based motif localizes a Drosophila vesicular transporter to synaptic vesicles in vivo. Journal of Biological Chemistry. 2010;285:6867–6878. doi: 10.1074/jbc.M109.073064. [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. Guo Y, Chang C, Huang R, Liu B, Bao L, Liu W. AP1 is essential for generation of autophagosomes from the trans-Golgi network. Journal of Cell Science. 2012;125:1706–1715. doi: 10.1242/jcs.093203. [DOI] [PubMed] [Google Scholar]
  34. Hall DH, Hedgecock EM. Kinesin-related gene unc-104 is required for axonal transport of synaptic vesicles in C. elegans. Cell. 1991;65:837–847. doi: 10.1016/0092-8674(91)90391-B. [DOI] [PubMed] [Google Scholar]
  35. Hammarlund M, Nix P, Hauth L, Jorgensen EM, Bastiani M. Axon regeneration requires a conserved MAP kinase pathway. Science. 2009;323:802–806. doi: 10.1126/science.1165527. [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Hao Y, Collins C. Intrinsic mechanisms for axon regeneration: insights from injured axons in Drosophila. Current Opinion in Genetics & Development. 2017;44:84–91. doi: 10.1016/j.gde.2017.01.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. Hao Y, Frey E, Yoon C, Wong H, Nestorovski D, Holzman LB, Giger RJ, DiAntonio A, Collins C. An evolutionarily conserved mechanism for cAMP elicited axonal regeneration involves direct activation of the dual leucine zipper kinase DLK. eLife. 2016;5:e14048. doi: 10.7554/eLife.14048. [DOI] [PMC free article] [PubMed] [Google Scholar]
  38. Hartenstein V. Atlas of Drosophila Development. 1993. pp. 1–57. [Google Scholar]
  39. Hirai S, Banba Y, Satake T, Ohno S. Axon formation in neocortical neurons depends on stage-specific regulation of microtubule stability by the dual leucine zipper kinase-c-Jun N-terminal kinase pathway. Journal of Neuroscience. 2011;31:6468–6480. doi: 10.1523/JNEUROSCI.5038-10.2011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  40. Holland SM, Collura KM, Ketschek A, Noma K, Ferguson TA, Jin Y, Gallo G, Thomas GM. Palmitoylation controls DLK localization, interactions and activity to ensure effective axonal injury signaling. PNAS. 2016;113:763–768. doi: 10.1073/pnas.1514123113. [DOI] [PMC free article] [PubMed] [Google Scholar]
  41. Horiuchi D, Barkus RV, Pilling AD, Gassman A, Saxton WM. APLIP1, a kinesin binding JIP-1/JNK scaffold protein, influences the axonal transport of both vesicles and mitochondria in Drosophila. Current Biology. 2005;15:2137–2141. doi: 10.1016/j.cub.2005.10.047. [DOI] [PMC free article] [PubMed] [Google Scholar]
  42. Horiuchi D, Collins CA, Bhat P, Barkus RV, Diantonio A, Saxton WM. Control of a kinesin-cargo linkage mechanism by JNK pathway kinases. Current Biology. 2007;17:1313–1317. doi: 10.1016/j.cub.2007.06.062. [DOI] [PMC free article] [PubMed] [Google Scholar]
  43. Huntwork-Rodriguez S, Wang B, Watkins T, Ghosh AS, Pozniak CD, Bustos D, Newton K, Kirkpatrick DS, Lewcock JW. JNK-mediated phosphorylation of DLK suppresses its ubiquitination to promote neuronal apoptosis. The Journal of Cell Biology. 2013;202:747–763. doi: 10.1083/jcb.201303066. [DOI] [PMC free article] [PubMed] [Google Scholar]
  44. Johansen J, Halpern ME, Keshishian H. Axonal guidance and the development of muscle fiber-specific innervation in Drosophila embryos. Journal of Neuroscience. 1989;9:4318–4332. doi: 10.1523/JNEUROSCI.09-12-04318.1989. [DOI] [PMC free article] [PubMed] [Google Scholar]
  45. Jung SH. Sample size and power calculation for molecular biology studies. Methods in Molecular Biology. 2010;620:203–218. doi: 10.1007/978-1-60761-580-4_5. [DOI] [PubMed] [Google Scholar]
  46. Kaufmann N, DeProto J, Ranjan R, Wan H, Van Vactor D. Drosophila liprin-alpha and the receptor phosphatase Dlar control synapse morphogenesis. Neuron. 2002;34:27–38. doi: 10.1016/S0896-6273(02)00643-8. [DOI] [PubMed] [Google Scholar]
  47. Kawasaki F, Zou B, Xu X, Ordway RW. Active zone localization of presynaptic calcium channels encoded by the cacophony locus of Drosophila. Journal of Neuroscience. 2004;24:282–285. doi: 10.1523/JNEUROSCI.3553-03.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  48. Kern JV, Zhang YV, Kramer S, Brenman JE, Rasse TM. The kinesin-3, unc-104 regulates dendrite morphogenesis and synaptic development in Drosophila. Genetics. 2013;195:59–72. doi: 10.1534/genetics.113.151639. [DOI] [PMC free article] [PubMed] [Google Scholar]
  49. Kim SM, Kumar V, Lin YQ, Karunanithi S, Ramaswami M. Fos and Jun potentiate individual release sites and mobilize the reserve synaptic vesicle pool at the Drosophila larval motor synapse. PNAS. 2009;106:4000–4005. doi: 10.1073/pnas.0806064106. [DOI] [PMC free article] [PubMed] [Google Scholar]
  50. Kondo M, Takei Y, Hirokawa N. Motor protein KIF1A is essential for hippocampal synaptogenesis and learning enhancement in an enriched environment. Neuron. 2012;73:743–757. doi: 10.1016/j.neuron.2011.12.020. [DOI] [PubMed] [Google Scholar]
  51. Hurd DD, Saxton WM. Kinesin mutations cause motor neuron disease phenotypes by disrupting fast axonal transport in Drosophila. Genetics. 1996;144:1075–1085. doi: 10.1093/genetics/144.3.1075. [DOI] [PMC free article] [PubMed] [Google Scholar]
  52. Kurup N, Yan D, Goncharov A, Jin Y. Dynamic microtubules drive circuit rewiring in the absence of neurite remodeling. Current Biology. 2015;25:1594–1605. doi: 10.1016/j.cub.2015.04.061. [DOI] [PMC free article] [PubMed] [Google Scholar]
  53. Larhammar M, Huntwork-Rodriguez S, Jiang Z, Solanoy H, Sengupta Ghosh A, Wang B, Kaminker JS, Huang K, Eastham-Anderson J, Siu M, Modrusan Z, Farley MM, Tessier-Lavigne M, Lewcock JW, Watkins TA. Dual leucine zipper kinase-dependent PERK activation contributes to neuronal degeneration following insult. eLife. 2017;6:e20725. doi: 10.7554/eLife.20725. [DOI] [PMC free article] [PubMed] [Google Scholar]
  54. Le Pichon CE, Meilandt WJ, Dominguez S, Solanoy H, Lin H, Ngu H, Gogineni A, Sengupta Ghosh A, Jiang Z, Lee SH, Maloney J, Gandham VD, Pozniak CD, Wang B, Lee S, Siu M, Patel S, Modrusan Z, Liu X, Rudhard Y, Baca M, Gustafson A, Kaminker J, Carano RAD, Huang EJ, Foreman O, Weimer R, Scearce-Levie K, Lewcock JW. Loss of dual leucine zipper kinase signaling is protective in animal models of neurodegenerative disease. Science Translational Medicine. 2017;9:eaag0394. doi: 10.1126/scitranslmed.aag0394. [DOI] [PubMed] [Google Scholar]
  55. Lee HK, Wright AP, Zinn K. Live dissection of Drosophila embryos: streamlined methods for screening mutant collections by antibody staining. Journal of Visualized Experiments. 2009:e1647. doi: 10.3791/1647. [DOI] [PMC free article] [PubMed] [Google Scholar]
  56. Lewcock JW, Genoud N, Lettieri K, Pfaff SL. The ubiquitin ligase Phr1 regulates axon outgrowth through modulation of microtubule dynamics. Neuron. 2007;56:604–620. doi: 10.1016/j.neuron.2007.09.009. [DOI] [PubMed] [Google Scholar]
  57. Li J, Collins CA. The Oxford Handbook of Invertebrate Neurobiology. Oxford University Press; 2017. Mechanisms of axonal degeneration and regeneration: lessons learned from invertebrates. [Google Scholar]
  58. Li LB, Lei H, Arey RN, Li P, Liu J, Murphy CT, Xu XZ, Shen K. The neuronal kinesin UNC-104/KIF1A Is a key regulator of synaptic aging and insulin signaling-regulated memory. Current Biology. 2016;26:605–615. doi: 10.1016/j.cub.2015.12.068. [DOI] [PMC free article] [PubMed] [Google Scholar]
  59. Lin DM, Goodman CS. Ectopic and increased expression of Fasciclin II alters motoneuron growth cone guidance. Neuron. 1994;13:507–523. doi: 10.1016/0896-6273(94)90022-1. [DOI] [PubMed] [Google Scholar]
  60. Ma QL, Zuo X, Yang F, Ubeda OJ, Gant DJ, Alaverdyan M, Kiosea NC, Nazari S, Chen PP, Nothias F, Chan P, Teng E, Frautschy SA, Cole GM. Loss of MAP function leads to hippocampal synapse loss and deficits in the Morris Water Maze with aging. Journal of Neuroscience. 2014;34:7124–7136. doi: 10.1523/JNEUROSCI.3439-13.2014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  61. Maas C, Torres VI, Altrock WD, Leal-Ortiz S, Wagh D, Terry-Lorenzo RT, Fejtova A, Gundelfinger ED, Ziv NE, Garner CC. Formation of Golgi-derived active zone precursor vesicles. Journal of Neuroscience. 2012;32:11095–11108. doi: 10.1523/JNEUROSCI.0195-12.2012. [DOI] [PMC free article] [PubMed] [Google Scholar]
  62. Mackler JM, Drummond JA, Loewen CA, Robinson IM, Reist NE. The C(2)B Ca(2+)-binding motif of synaptotagmin is required for synaptic transmission in vivo. Nature. 2002;418:340–344. doi: 10.1038/nature00846. [DOI] [PubMed] [Google Scholar]
  63. Mahr A, Aberle H. The expression pattern of the Drosophila vesicular glutamate transporter: a marker protein for motoneurons and glutamatergic centers in the brain. Gene Expression Patterns. 2006;6:299–309. doi: 10.1016/j.modgep.2005.07.006. [DOI] [PubMed] [Google Scholar]
  64. Marcette JD, Chen JJ, Nonet ML. The Caenorhabditis elegans microtubule minus-end binding homolog PTRN-1 stabilizes synapses and neurites. eLife. 2014;3:e01637. doi: 10.7554/eLife.01637. [DOI] [PMC free article] [PubMed] [Google Scholar]
  65. Martin M, Iyadurai SJ, Gassman A, Gindhart JG, Hays TS, Saxton WM. Cytoplasmic dynein, the dynactin complex, and kinesin are interdependent and essential for fast axonal transport. Molecular Biology of the Cell. 1999;10:3717–3728. doi: 10.1091/mbc.10.11.3717. [DOI] [PMC free article] [PubMed] [Google Scholar]
  66. Martín-Blanco E, Gampel A, Ring J, Virdee K, Kirov N, Tolkovsky AM, Martinez-Arias A. puckered encodes a phosphatase that mediates a feedback loop regulating JNK activity during dorsal closure in Drosophila. Genes & Development. 1998;12:557–570. doi: 10.1101/gad.12.4.557. [DOI] [PMC free article] [PubMed] [Google Scholar]
  67. Massaro CM, Pielage J, Davis GW. Molecular mechanisms that enhance synapse stability despite persistent disruption of the spectrin/ankyrin/microtubule cytoskeleton. The Journal of Cell Biology. 2009;187:101–117. doi: 10.1083/jcb.200903166. [DOI] [PMC free article] [PubMed] [Google Scholar]
  68. Medina PM, Swick LL, Andersen R, Blalock Z, Brenman JE. A novel forward genetic screen for identifying mutations affecting larval neuronal dendrite development in Drosophila melanogaster. Genetics. 2006;172:2325–2335. doi: 10.1534/genetics.105.051276. [DOI] [PMC free article] [PubMed] [Google Scholar]
  69. Morfini G, Pigino G, Szebenyi G, You Y, Pollema S, Brady ST. JNK mediates pathogenic effects of polyglutamine-expanded androgen receptor on fast axonal transport. Nature Neuroscience. 2006;9:907–916. doi: 10.1038/nn1717. [DOI] [PubMed] [Google Scholar]
  70. Morgan JI, Curran T. Stimulus-transcription coupling in the nervous system: involvement of the inducible proto-oncogenes fos and jun. Annual Review of Neuroscience. 1991;14:421–451. doi: 10.1146/annurev.ne.14.030191.002225. [DOI] [PubMed] [Google Scholar]
  71. Nakata K, Abrams B, Grill B, Goncharov A, Huang X, Chisholm AD, Jin Y. Regulation of a DLK-1 and p38 MAP kinase pathway by the ubiquitin ligase RPM-1 is required for presynaptic development. Cell. 2005;120:407–420. doi: 10.1016/j.cell.2004.12.017. [DOI] [PubMed] [Google Scholar]
  72. Niwa S, Lipton DM, Morikawa M, Zhao C, Hirokawa N, Lu H, Shen K. Autoinhibition of a neuronal kinesin UNC-104/KIF1A regulates the size and density of synapses. Cell Reports. 2016;16:2129–2141. doi: 10.1016/j.celrep.2016.07.043. [DOI] [PMC free article] [PubMed] [Google Scholar]
  73. Niwa S, Tanaka Y, Hirokawa N. KIF1Bbeta- and KIF1A-mediated axonal transport of presynaptic regulator Rab3 occurs in a GTP-dependent manner through DENN/MADD. Nature Cell Biology. 2008;10:1269–1279. doi: 10.1038/ncb1785. [DOI] [PubMed] [Google Scholar]
  74. Okada Y, Yamazaki H, Sekine-Aizawa Y, Hirokawa N. The neuron-specific kinesin superfamily protein KIF1A is a unique monomeric motor for anterograde axonal transport of synaptic vesicle precursors. Cell. 1995;81:769–780. doi: 10.1016/0092-8674(95)90538-3. [DOI] [PubMed] [Google Scholar]
  75. Otsuka AJ, Jeyaprakash A, García-Añoveros J, Tang LZ, Fisk G, Hartshorne T, Franco R, Born T. The C. elegans unc-104 gene encodes a putative kinesin heavy chain-like protein. Neuron. 1991;6:113–122. doi: 10.1016/0896-6273(91)90126-K. [DOI] [PubMed] [Google Scholar]
  76. Pack-Chung E, Kurshan PT, Dickman DK, Schwarz TL. A Drosophila kinesin required for synaptic bouton formation and synaptic vesicle transport. Nature Neuroscience. 2007;10:980–989. doi: 10.1038/nn1936. [DOI] [PubMed] [Google Scholar]
  77. Park M, Watanabe S, Poon VY, Ou CY, Jorgensen EM, Shen K. CYY-1/cyclin Y and CDK-5 differentially regulate synapse elimination and formation for rewiring neural circuits. Neuron. 2011;70:742–757. doi: 10.1016/j.neuron.2011.04.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  78. Pozniak CD, Sengupta Ghosh A, Gogineni A, Hanson JE, Lee SH, Larson JL, Solanoy H, Bustos D, Li H, Ngu H, Jubb AM, Ayalon G, Wu J, Scearce-Levie K, Zhou Q, Weimer RM, Kirkpatrick DS, Lewcock JW. Dual leucine zipper kinase is required for excitotoxicity-induced neuronal degeneration. The Journal of Experimental Medicine. 2013;210:2553–2567. doi: 10.1084/jem.20122832. [DOI] [PMC free article] [PubMed] [Google Scholar]
  79. Ritzenthaler S, Suzuki E, Chiba A. Postsynaptic filopodia in muscle cells interact with innervating motoneuron axons. Nature neuroscience. 2000;3:1012–1017. doi: 10.1038/79833. [DOI] [PubMed] [Google Scholar]
  80. Rivière JB, Ramalingam S, Lavastre V, Shekarabi M, Holbert S, Lafontaine J, Srour M, Merner N, Rochefort D, Hince P, Gaudet R, Mes-Masson AM, Baets J, Houlden H, Brais B, Nicholson GA, Van Esch H, Nafissi S, De Jonghe P, Reilly MM, Timmerman V, Dion PA, Rouleau GA. KIF1A, an axonal transporter of synaptic vesicles, is mutated in hereditary sensory and autonomic neuropathy type 2. The American Journal of Human Genetics. 2011;89:219–230. doi: 10.1016/j.ajhg.2011.06.013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  81. Sclip A, Tozzi A, Abaza A, Cardinetti D, Colombo I, Calabresi P, Salmona M, Welker E, Borsello T. c-Jun N-terminal kinase has a key role in Alzheimer disease synaptic dysfunction in vivo. Cell Death and Disease. 2014;5:e1019. doi: 10.1038/cddis.2013.559. [DOI] [PMC free article] [PubMed] [Google Scholar]
  82. Shapira M, Zhai RG, Dresbach T, Bresler T, Torres VI, Gundelfinger ED, Ziv NE, Garner CC. Unitary assembly of presynaptic active zones from Piccolo-Bassoon transport vesicles. Neuron. 2003;38:237–252. doi: 10.1016/S0896-6273(03)00207-1. [DOI] [PubMed] [Google Scholar]
  83. Shen W, Ganetzky B. Autophagy promotes synapse development in Drosophila. The Journal of Cell Biology. 2009;187:71–79. doi: 10.1083/jcb.200907109. [DOI] [PMC free article] [PubMed] [Google Scholar]
  84. Shin H, Wyszynski M, Huh KH, Valtschanoff JG, Lee JR, Ko J, Streuli M, Weinberg RJ, Sheng M, Kim E. Association of the kinesin motor KIF1A with the multimodular protein liprin-alpha. Journal of Biological Chemistry. 2003;278:11393–11401. doi: 10.1074/jbc.M211874200. [DOI] [PubMed] [Google Scholar]
  85. Shin JE, Cho Y, Beirowski B, Milbrandt J, Cavalli V, DiAntonio A. Dual leucine zipper kinase is required for retrograde injury signaling and axonal regeneration. Neuron. 2012;74:1015–1022. doi: 10.1016/j.neuron.2012.04.028. [DOI] [PMC free article] [PubMed] [Google Scholar]
  86. Spradling AC, Stern D, Beaton A, Rhem EJ, Laverty T, Mozden N, Misra S, Rubin GM. The Berkeley Drosophila Genome Project gene disruption project: Single P-element insertions mutating 25% of vital Drosophila genes. Genetics. 1999;153:135–177. doi: 10.1093/genetics/153.1.135. [DOI] [PMC free article] [PubMed] [Google Scholar]
  87. Stagi M, Gorlovoy P, Larionov S, Takahashi K, Neumann H. Unloading kinesin transported cargoes from the tubulin track via the inflammatory c-Jun N-terminal kinase pathway. The FASEB Journal. 2006;20:2573–2575. doi: 10.1096/fj.06-6679fje. [DOI] [PubMed] [Google Scholar]
  88. Stavoe AK, Hill SE, Hall DH, Colón-Ramos DA. KIF1A/UNC-104 Transports ATG-9 to Regulate Neurodevelopment and Autophagy at Synapses. Developmental Cell. 2016;38:171–185. doi: 10.1016/j.devcel.2016.06.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
  89. Stewart BA, Atwood HL, Renger JJ, Wang J, Wu CF. Improved stability of Drosophila larval neuromuscular preparations in haemolymph-like physiological solutions. Journal of Comparative Physiology A. 1994;175:179–191. doi: 10.1007/BF00215114. [DOI] [PubMed] [Google Scholar]
  90. Sun F, Zhu C, Dixit R, Cavalli V. Sunday Driver/JIP3 binds kinesin heavy chain directly and enhances its motility. The EMBO Journal. 2011;30:3416–3429. doi: 10.1038/emboj.2011.229. [DOI] [PMC free article] [PubMed] [Google Scholar]
  91. Südhof TC. The presynaptic active zone. Neuron. 2012;75:11–25. doi: 10.1016/j.neuron.2012.06.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
  92. Tedeschi A, Bradke F. The DLK signalling pathway--a double-edged sword in neural development and regeneration. EMBO Reports. 2013;14:605–614. doi: 10.1038/embor.2013.64. [DOI] [PMC free article] [PubMed] [Google Scholar]
  93. Thibault ST, Singer MA, Miyazaki WY, Milash B, Dompe NA, Singh CM, Buchholz R, Demsky M, Fawcett R, Francis-Lang HL, Ryner L, Cheung LM, Chong A, Erickson C, Fisher WW, Greer K, Hartouni SR, Howie E, Jakkula L, Joo D, Killpack K, Laufer A, Mazzotta J, Smith RD, Stevens LM, Stuber C, Tan LR, Ventura R, Woo A, Zakrajsek I, Zhao L, Chen F, Swimmer C, Kopczynski C, Duyk G, Winberg ML, Margolis J. A complementary transposon tool kit for Drosophila melanogaster using P and piggyBac. Nature Genetics. 2004;36:283–287. doi: 10.1038/ng1314. [DOI] [PubMed] [Google Scholar]
  94. Thummel CS, Boulet AM, Lipshitz HD. Vectors for Drosophila P-element-mediated transformation and tissue culture transfection. Gene. 1988;74:445–456. doi: 10.1016/0378-1119(88)90177-1. [DOI] [PubMed] [Google Scholar]
  95. Valakh V, Frey E, Babetto E, Walker LJ, DiAntonio A. Cytoskeletal disruption activates the DLK/JNK pathway, which promotes axonal regeneration and mimics a preconditioning injury. Neurobiology of Disease. 2015;77:13–25. doi: 10.1016/j.nbd.2015.02.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  96. Valakh V, Walker LJ, Skeath JB, DiAntonio A. Loss of the spectraplakin short stop activates the DLK injury response pathway in Drosophila. Journal of Neuroscience. 2013;33:17863–17873. doi: 10.1523/JNEUROSCI.2196-13.2013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  97. Venken KJ, Schulze KL, Haelterman NA, Pan H, He Y, Evans-Holm M, Carlson JW, Levis RW, Spradling AC, Hoskins RA, Bellen HJ. MiMIC: a highly versatile transposon insertion resource for engineering Drosophila melanogaster genes. Nature Methods. 2011;8:737–743. doi: 10.1038/nmeth.1662. [DOI] [PMC free article] [PubMed] [Google Scholar]
  98. Verhey KJ, Hammond JW. Traffic control: regulation of kinesin motors. Nature Reviews Molecular Cell Biology. 2009;10:765–777. doi: 10.1038/nrm2782. [DOI] [PubMed] [Google Scholar]
  99. Voelzmann A, Okenve-Ramos P, Qu Y, Chojnowska-Monga M, Del Caño-Espinel M, Prokop A, Sanchez-Soriano N. Tau and spectraplakins promote synapse formation and maintenance through Jun kinase and neuronal trafficking. eLife. 2016;5:e14694. doi: 10.7554/eLife.14694. [DOI] [PMC free article] [PubMed] [Google Scholar]
  100. Wang X, Kim JH, Bazzi M, Robinson S, Collins CA, Ye B. Bimodal control of dendritic and axonal growth by the dual leucine zipper kinase pathway. PLoS Biology. 2013;11:e1001572. doi: 10.1371/journal.pbio.1001572. [DOI] [PMC free article] [PubMed] [Google Scholar]
  101. Watkins TA, Wang B, Huntwork-Rodriguez S, Yang J, Jiang Z, Eastham-Anderson J, Modrusan Z, Kaminker JS, Tessier-Lavigne M, Lewcock JW. DLK initiates a transcriptional program that couples apoptotic and regenerative responses to axonal injury. PNAS. 2013;110:4039–4044. doi: 10.1073/pnas.1211074110. [DOI] [PMC free article] [PubMed] [Google Scholar]
  102. Weber U, Paricio N, Mlodzik M. Jun mediates Frizzled-induced R3/R4 cell fate distinction and planar polarity determination in the Drosophila eye. Development. 2000;127:3619–3629. doi: 10.1242/dev.127.16.3619. [DOI] [PubMed] [Google Scholar]
  103. Welsbie DS, Mitchell KL, Jaskula-Ranga V, Sluch VM, Yang Z, Kim J, Buehler E, Patel A, Martin SE, Zhang PW, Ge Y, Duan Y, Fuller J, Kim BJ, Hamed E, Chamling X, Lei L, Fraser IDC, Ronai ZA, Berlinicke CA, Zack DJ. Enhanced functional genomic screening identifies novel mediators of dual leucine zipper kinase-dependent injury signaling in neurons. Neuron. 2017;94:1142–1154. doi: 10.1016/j.neuron.2017.06.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  104. Welsbie DS, Yang Z, Ge Y, Mitchell KL, Zhou X, Martin SE, Berlinicke CA, Hackler L, Fuller J, Fu J, Cao LH, Han B, Auld D, Xue T, Hirai S, Germain L, Simard-Bisson C, Blouin R, Nguyen JV, Davis CH, Enke RA, Boye SL, Merbs SL, Marsh-Armstrong N, Hauswirth WW, DiAntonio A, Nickells RW, Inglese J, Hanes J, Yau KW, Quigley HA, Zack DJ. Functional genomic screening identifies dual leucine zipper kinase as a key mediator of retinal ganglion cell death. PNAS. 2013;110:4045–4050. doi: 10.1073/pnas.1211284110. [DOI] [PMC free article] [PubMed] [Google Scholar]
  105. Wu C, Daniels RW, DiAntonio A. DFsn collaborates with Highwire to down-regulate the Wallenda/DLK kinase and restrain synaptic terminal growth. Neural Development. 2007;2:16. doi: 10.1186/1749-8104-2-16. [DOI] [PMC free article] [PubMed] [Google Scholar]
  106. Wu C, Wairkar YP, Collins CA, DiAntonio A. Highwire function at the Drosophila neuromuscular junction: spatial, structural, and temporal requirements. Journal of Neuroscience. 2005;25:9557–9566. doi: 10.1523/JNEUROSCI.2532-05.2005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  107. Xiong X, Hao Y, Sun K, Li J, Li X, Mishra B, Soppina P, Wu C, Hume RI, Collins CA. The Highwire ubiquitin ligase promotes axonal degeneration by tuning levels of Nmnat protein. PLoS Biology. 2012;10:e1001440–18. doi: 10.1371/journal.pbio.1001440. [DOI] [PMC free article] [PubMed] [Google Scholar]
  108. Xiong X, Wang X, Ewanek R, Bhat P, Diantonio A, Collins CA. Protein turnover of the Wallenda/DLK kinase regulates a retrograde response to axonal injury. The Journal of Cell Biology. 2010;191:211–223. doi: 10.1083/jcb.201006039. [DOI] [PMC free article] [PubMed] [Google Scholar]
  109. Yan D, Wu Z, Chisholm AD, Jin Y. The DLK-1 kinase promotes mRNA stability and local translation in C. elegans synapses and axon regeneration. Cell. 2009;138:1005–1018. doi: 10.1016/j.cell.2009.06.023. [DOI] [PMC free article] [PubMed] [Google Scholar]
  110. Yonekawa Y, Harada A, Okada Y, Funakoshi T, Kanai Y, Takei Y, Terada S, Noda T, Hirokawa N. Defect in synaptic vesicle precursor transport and neuronal cell death in KIF1A motor protein-deficient mice. The Journal of Cell Biology. 1998;141:431–441. doi: 10.1083/jcb.141.2.431. [DOI] [PMC free article] [PubMed] [Google Scholar]
  111. Zhang J, Schulze KL, Hiesinger PR, Suyama K, Wang S, Fish M, Acar M, Hoskins RA, Bellen HJ, Scott MP. Thirty-one flavors of Drosophila rab proteins. Genetics. 2007;176:1307–1322. doi: 10.1534/genetics.106.066761. [DOI] [PMC free article] [PubMed] [Google Scholar]
  112. Zhang YV, Hannan SB, Kern JV, Stanchev DT, Koç B, Jahn TR, Rasse TM. The KIF1A homolog Unc-104 is important for spontaneous release, postsynaptic density maturation and perisynaptic scaffold organization. Scientific Reports. 2017;7:38172. doi: 10.1038/srep38172. [DOI] [PMC free article] [PubMed] [Google Scholar]
  113. Zhang YV, Hannan SB, Stapper ZA, Kern JV, Jahn TR, Rasse TM. The Drosophila KIF1A homolog unc-104 is important for site-specific synapse maturation. Frontiers in Cellular Neuroscience. 2016;10:207. doi: 10.3389/fncel.2016.00207. [DOI] [PMC free article] [PubMed] [Google Scholar]

Decision letter

Editor: K VijayRaghavan1

In the interests of transparency, eLife includes the editorial decision letter and accompanying author responses. A lightly edited version of the letter sent to the authors after peer review is shown, indicating the most substantive concerns; minor comments are not usually included.

Thank you for submitting your work entitled "The Wallenda/DLK kinase restrains the expression of pre-synaptic proteins according to their transport" for consideration by eLife. Your article has been reviewed by three peer reviewers, and the evaluation has been overseen by a Reviewing Editor and a Senior Editor. The reviewers have opted to remain anonymous.

Li et al. present work investigating Wnd/DLK MAP kinase pathway regulation of expression levels of synaptic genes following disrupted axonal trafficking upon knockdown of Unc-104/Kif1a, a Kinesin 3 motor. Based on the exciting finding that loss of wnd suppresses the reduced presynaptic active zone (AZ) protein accumulation and associated functional deficits of unc-104 hypomorphic mutants, the authors propose a model in which the Wnd pathway 'senses' levels of presynaptic proteins in the cell body and acts as a brake on expression when levels exceed the ability of the cell to transport these proteins to synapses. The experiments are generally carefully done and individual experiments serve the purpose of supporting the genetic interaction. However, as a whole, the paper worryingly feels like a catalog of correlative connections, missing conceptual depth. A consistent term used throughout the paper is "modest effect" or "modest role", suggesting ambiguity of the observations and the conclusions. Some of the issues could be addressed by re-writing, others need additional data. Thus, while this is an interesting model, it is not fully supported by the data presented as detailed below.

While some of our concerns can be addressed by better analysis and writing, others require significant experiments. We had prolonged discussions around whether these concerns can be addressed in two months and if done would we be persuaded. We feel that some suggested experiments which are critical to the thrust of the paper can be done in two months. Yet, when we asked if these concerns were addressed whether the model proposed and data presented would be acceptable despite 'mechanistic' gaps, we were not persuaded. In this situation, another round of review would not be correct.

Reviewer #1:

Li et al. present work investigating Wnd/DLK MAP kinase pathway regulation of expression levels of synaptic genes following disrupted axonal trafficking upon knockdown of Unc-104/Kif1a, a Kinesin 3 motor, and during development. Based on the exciting finding that loss of wnd suppresses the reduced presynaptic active zone (AZ) protein accumulation and associated functional deficits of unc-104 hypomorphic mutants, the authors propose a model in which the Wnd pathway 'senses' levels of presynaptic proteins in the cell body and acts as a brake on expression when levels exceed the ability of the cell to transport these proteins to synapses. While this is an interesting model, it is not fully supported by the data presented as detailed below.

1) Support for their model:

A) The authors propose that unc-104 function can be divided into a transport role for SVs that is independent of Wnd and a Wnd/DLK pathway-dependent role in regulating AZ proteins. The differentiation between Brp and SV proteins is based on the finding that reduced synaptic levels of Brp in unc-104 nulls are suppressed by wnd but SV protein levels are not, in contrast to their findings in unc-104 hypomorphs. Simpler models should be considered. For example, the observation that wnd suppresses the loss of SV proteins at synapses in hypomorphs with residual Unc-104 activity but not nulls is more easily explained by the model that SV transport, but not Brp transport, is fully dependent on Unc-104, consistent with prior observations in Drosophila (Pack-Chung et al., 2007)..

B) The strongest evidence for activation of Wnd in Unc-104 mutants comes from the puc-LacZ experiments in unc-104 RNAi lines (Figure 3B). Given the importance of this finding, it this experiment should be conducted in unc-104 null and hypomorphic mutants. It's not clear how the proposed model leads to the specificity for unc-104 reported here. Have the authors investigated if cell body levels of presynaptic proteins are increased in these other mutants?

In Figure 8, the authors show that GFP-tagged Wnd MiMIC lines show increased Wnd in unc-104 mutants when well-characterized antibodies to Wnd (Collins et al., 2006) fail to show an increase. If they are going to include this data, the authors should provide an explanation for why the MiMIC data might provide a better indication of the underlying biology.

C) The evidence that Wnd regulates the levels of presynaptic protein levels and in particular that it acts at the level of transcription is somewhat inconsistent. Upon Wnd overexpression, the authors observed decreased protein levels at active zones as predicted. However, in wnd null embryos they see increased levels in some proteins at some stages, but decreases in other proteins (e.g., Brp). This and the absence of a consistent effect on the timing or expression, weakens their conclusion that wnd controls the levels and timing of expression of AZ and SV components.

In Figure 6—figure supplement 2, the authors present RT-PCR data that shows no decrease in transcription of synaptic proteins in unc-104 mutants as predicted by their model.

Other major concerns:

1) Much of the wnd, unc-104 interaction data was obtained using a previously published hypomorphic alleles of unc-104. Given their central role in this work, the authors should provide some information on the nature of these alleles. In the analysis of interactions between null mutants presented in Figures 5 and 6, it is important to include an analysis of wnd mutants alone (as in 6C-G) to rule out additive effects. Have the authors analyzed dominant suppression of unc-104 phenotypes by wnd, which would strongly support the conclusion that the two genes function in a linear pathway?

2) An electrophysiological analysis was conducted in hiw mutants (where Wnd levels are increased), but should be completed in wnd overexpression lines to more directly test the hypothesis that increased Wnd explains functional defects in unc-104 mutants. Here, the authors present the surprising result that wnd suppresses the physiological defect in hiw mutants. This is in contrast to results published in an earlier paper with overlapping authors (Collins et al., 2006). They suggest the difference may be due to the use of different wnd alleles, but this needs to be addressed experimentally given the importance of wnd suppression phenotypes to this work and the high impact of the previously published result that is called into question.

3) Given that synaptic function is fully suppressed in hypomorphs, it is surprising that locomotion and viability show little improvement. This disconnect should be further addressed by evaluating the relevant allelic combinations, not just RNAi. Relatedly, how is there so much movement in double null mutants (Figure 5—figure supplement 1) when there is essentially no SV transport to AZs?

4) It was cumbersome to parse through the data as presented in 21 figures (9 main plus 12 supplemental) including 2 separate model figures. Figure 6E was presented in a way that made it especially difficult to compare genotypes. It also looks like the effect of wnd loss of function on Brp levels is very different between Figures 1F (no effect) and 4G (nearly doubled).

Reviewer #2:

In "The Wallenda/DLK kinase restrains the expression of pre-synaptic proteins according to their Transport" Drs. Collins, Rasse and colleagues reveal an unexpected novel role for Unc-104 in regulating synaptic development and bouton composition in a manner not directly related to its long-range transport functions.

Synaptic vesicle precursor proteins and active zone proteins are synthesized in neuronal cell bodies and transported to synapses. Kinesin motors (Unc-104) transport SV precursors. AZ components are reduced at the synaptic terminals of the unc-104 mutants, but their transport has never been shown to be driven directly by unc-104. Through an exhaustive set of experiments (using diverse mutant and RNAi combinations), the authors show that defects in unc-104 lead to the activation of the Wnd signaling pathway (via Bsk and Fos), which in a cell-autonomous manner regulates AZ protein levels in neuronal cell bodies and synaptic terminals. Suppressing Wnd signaling in unc-104 strong hypomorphs or in RNAi knockdowns significantly reduces the defects in AZ at the synapse, defects in synaptic transmission, larval mobility and viability, but only partly rescues SV protein levels. Furthermore, puckered expression and axonal regeneration, both of which require enhanced Wnd signaling, are enhanced in unc-104 mutants.

Crucially, through genetic interaction studies with null mutants of unc-104 (as opposed to hypomorphs) the authors revealed two separable functions for unc-104: one for trafficking SV associated proteins to the synapse (VGlut1, Syt1, Csp) and one for activating the Wnd pathway, which in unc-104 mutants lead to the decrease of multiple synaptic proteins.

While these represent important, transformative, and convincing advances in our understanding of unc-104 and Wnd/DLK signaling in synapse formation, the one weakness of the paper is that it does not uncover HOW Unc-104 regulates Wnd signaling, or how Wnd signaling constrains synaptic protein levels. Filling this gap is likely beyond the scope of the current work and not necessary to merit publication in eLife, but there are several points that the authors could address based on their current approaches:

1) It is important for the authors to quantify Wnd-MiMIC levels in the neuronal cell bodies (akin to the way they quantified UAS-WnkKD in supplemental Figure 1 to Figure 8). They should also explain why they used the kinase dead version and whether they believe it behaves differently from wild type Wnd.

2) The authors present hiw data but do not address hiw function in their model or discussion. The authors should measure hiw RNA and/or protein levels in Unc-104 mutants to ask if hiw is contributing to the phenotype. If hiw protein (but not RNA) is downregulated in the unc-104 mutant, it might suggest that autophagy-mediated degradation of Hiw (as per Shen et al., 2009), and perhaps other synaptic proteins, underlies the regulatory mechanism by which unc-104 constrains synaptic protein levels in response to cell body accumulation of cargo. This could be simply tested by evaluating the amount and distribution of an autophagy flux marker such as ATG8-GFP-mCherry.

3) The observation that ectopic overexpression of Brp, SytI and VGlut leads to increased puc-lacZ reporter signal begs the question whether this also triggers changes in Wnd (or hiw) levels or localization, as these results could provide more insight into the mechanism via which Unc-104 deficits lead to Wnd activation.

Reviewer #3:

This paper describes a genetic interaction between the Unc-104 motor protein and the Wnd DLK kinase. The authors presented impressive amount of data from synapse cell biology to physiology with an attempt to conclude that Wnd activation is sensitive to disruption of unc-104 mediated transport of some axonal components. The measurement for Wnd activity mostly relied on induction of a puc-LacZ reporter in the soma, and morphological changes of NMJ terminals. While experiments are generally carefully done, individual experiment serves the purpose of supporting the genetic interaction. However, as a whole, the paper feels like a catalog of correlative connections, missing conceptual depth. A consistent term used throughout the paper is "modest effect" or "modest role", suggesting ambiguity of the observations and the conclusions. Some of the issues could be addressed by re-writing, others need additional data.

Their observation that Wnd suppresses the lethality of unc-104 mutants is the key observation led to this study. But it is not clear whether this suppression is directly caused at the level of presynaptic transport. Does inhibition of Wnd downstream factors, JNK and FOS, also suppress unc-104 lethality? In subsection “Wnd inhibits synapse assembly independently of cargo transport downstream of Unc-104” the final sentence of the second paragraph seems to state that "most or all" unc-104; wnd mutants actually die. Is the suppression of lethality rather minor?

In axon regeneration analysis in unc-104 mutants, the observed effects should be rescued using wild type unc-104.

Subsection “Activation of the Wnd signaling pathway in neurons is sufficient to impair presynaptic structure and synaptic transmission”: first paragraph, the authors state "ectopic activation of Wnd should mimic the unc-104 mutant phenotypes". But where is Wnd normally activated?

In the same section, second paragraph: The authors made a comment about the result in Figure 4D-F being differed from their previous study that used a hypomorphic allele of Wnd". They should perform the same analysis in parallel on both null and that hypomorphic allele.

They talked about similarities of how loss of Hiw or of Unc-104 affect Wnd function. An important experiment should include a double mutant study of Hiw and unc-104.

[Editors’ note: what now follows is the decision letter after the authors submitted for further consideration.]

Thank you for choosing to send your work entitled "The Wallenda/DLK kinase restrains the expression of pre-synaptic proteins according to their transport" for consideration at eLife. Your letter of appeal has been considered by a Senior Editor in discussion with the reviewers, and we are prepared to consider a revised submission with no guarantees of acceptance.

While we are happy to consider a revised manuscript, you will see that we have some serious concerns that need careful attention. We see merit in the author's rebuttal letter that the most concerns can be addressed with rewriting and some additional experiments and key issues addressed. The overall impact of the work, if these points are well-addressed, can be strong, since it provides a fundamentally new model for how unc-104 contributes to neuronal function, by activating an axonal injury pathway. However, the data and model also need to be explained more clearly to be digestible by a broad readership such as at eLife.

In response to the concerns raised about inconsistent results in their wnd loss-of-function analysis, the authors are dismissive, imploring us to "Note that our model is NOT that Wnd functions as a major restraint on these proteins during normal conditions or during development," yet their subheading describing these results is "Wnd restrains the expression of presynaptic proteins at early stages of synaptogenesis." In a second example, the authors dismiss concerns about their analysis of MiMIC-GFP instead of endogenous Wnd levels by simply stating that the Wnd antibody does not work well for immunohistochemistry without addressing the fact that they have previously published analogous experiments using their Wnd antibody for immunohistochemistry (Collins et al., 2006). The authors may want to pay particular attention to these points.

The authors should measure puc-LacZ expression in additional unc-104 mutants. Also, rescue of additional phenotypes aside from NMJ morphology and active zone apposition to PSD (e.g. lethality or synaptic function) by BSK and FOS would provide strong support for the model. However, I was not concerned that the Mimic tool showed an increase in Wnd while the western blot did not, since the Mimic tool accounts for changes in subcellular distribution – this point can be addressed better by the authors in the manuscript. However, it is absolutely essential that the MIMIC phenotype be quantified and use of the Kinase Dead explained in the text.

The effect of wnd on the timing and expression of presynaptic proteins needs to be much more clearly explained, as discussed in the rebuttal. As it stands this section is very distracting and confusing. The authors should also clarify their model for how synaptic protein levels are regulated in the unc-104 mutants (though the authors do discuss the RT-PCR data and I agree with them that RT-PCR detects transcripts from all the cell types in all the tissues used for the mRNA prep, and does not account for specific defects in protein levels and localization at the neuronal cell bodies and synaptic terminals). The main point of the paper does not hinge on a particular model of synaptic protein level control, but the authors do need to clarify their explanations, either in the text or with more experiments.

Wnd null mutants alone should be included in Figure 5 and 6 for comparison in this specific assay. However, though phenotypes in transheterozygotes can be informative, lack of a dominant transheterozygote phenotype might just reflect gene dose requirements, and so we did not put as much weight on that particular experiment.

Electrophysiological analysis (and synaptic vesicle protein levels) in wnd overexpression lines would provide strong corroboration that increased Wnd explains functional defects in unc-104 mutants. Addressing the discrepancy with previous results (Collins 2006) on Wnd suppression of the hiw phenotype will be also be important.

On the other hand, experiments to address the cellular function of hiw would be nice but are not essential to the main interesting points of the paper. If the authors have the data or a more clear model of the role of hiw, it would be helpful to include, but we don't think it's necessary.

The rescue of the axon regrowth phenotype are not critical for the main conclusions of the paper and could take a lot of time.

[Editors' note: further revisions were requested prior to acceptance, as described below.]

Thank you for submitting your article "Restraint of presynaptic protein levels by Wnd/DLK signaling mediates synaptic defects associated with the kinesin-3 motor Unc-104" for consideration by eLife. Your article has been reviewed by two peer reviewers, and the evaluation has been overseen by K VijayRaghavan as the Senior Editor and the Reviewing Editor. The reviewers have opted to remain anonymous.

The reviewers have discussed the reviews with one another and the Reviewing Editor has drafted this decision to help you prepare a revised submission.

As you can see your manuscript needs only a few minor points that need to be addressed. Please do that speedily. We can then accept the revised manuscript after an editorial examination.

Reviewer #1:

In their revised manuscript, the authors have been very responsive to reviewer suggestions. The logical flow of the manuscript is significantly improved and experimental concerns directly addressed.

I have one question regarding the addition of wnd null data to Figure 1 and Figure 7—figure supplement 1. Is it still accurate to state that "Control and Experimental animals were always dissected, fixed and stained in the same dish/slide and imaged in parallel using identical confocal settings" (Experimental Procedures,), or were the new data obtained in separate experiments and normalized to wild type for incorporation with previously obtained data?

Reviewer #2:

The manuscript is much improved with the suggested experiments, reorganization, and rewriting. My concerns have been adequately addressed and I think that this is a very interesting, well-executed, and thought-provoking study.

eLife. 2017 Sep 19;6:e24271. doi: 10.7554/eLife.24271.032

Author response


[Editors’ note: the author responses to the first round of peer review follow.]

Reviewer #1:

Li et al. present work investigating Wnd/DLK MAP kinase pathway regulation of expression levels of synaptic genes following disrupted axonal trafficking upon knockdown of Unc-104/Kif1a, a Kinesin 3 motor, and during development. Based on the exciting finding that loss of wnd suppresses the reduced presynaptic active zone (AZ) protein accumulation and associated functional deficits of unc-104 hypomorphic mutants, the authors propose a model in which the Wnd pathway 'senses' levels of presynaptic proteins in the cell body and acts as a brake on expression when levels exceed the ability of the cell to transport these proteins to synapses. While this is an interesting model, it is not fully supported by the data presented as detailed below.

We appreciate that the reviewer recognizes the novelty and strength of our findings and the model we propose. With a careful and much appreciated eye on the data, the reviewer summarizes below some concerns about individual observations. We are optimistic that our explanations and clarifications described here, along with some adjustments and clarifications in the writing, can resolve this reviewer’s concerns.

1) Support for their model:

A) The authors propose that unc-104 function can be divided into a transport role for SVs that is independent of Wnd and a Wnd/DLK pathway-dependent role in regulating AZ proteins.

This statement is not precise for what we propose. Please see the clarifications below.

The differentiation between Brp and SV proteins is based on the finding that reduced synaptic levels of Brp in unc-104 nulls are suppressed by wnd but SV protein levels are not, in contrast to their findings in unc-104 hypomorphs.

To clarify, in unc-104; wnd double mutants compared to unc-104 mutants alone, we see a major increase in total levels (across the sum of the cell body, axon and synaptic compartments) for both AZ and SV proteins. This is evident for both unc-104-hypomorph (Figure 6 C-E, Figure 6—figure supplement 1 C) and null mutations (Figure 5A-E, 6A-B, & Figure 6—figure supplement 1 A-B). These observations lead to our major interpretation that the Wnd pathway, which becomes activated in all of the unc-104 mutants, down-regulates the levels of both AZ and SV proteins.

Simpler models should be considered. For example, the observation that wnd suppresses the loss of SV proteins at synapses in hypomorphs with residual Unc-104 activity but not nulls is more easily explained by the model that SV transport, but not Brp transport, is fully dependent on Unc-104, consistent with prior observations in Drosophila (Pack-Chung et al., 2007).

This explanation is indeed incorporated within our model (Figure 9). This explanation accounts for the suppression of AZ but not SV localization in the unc-104 mutants. However it is not the full picture, since this explanation does not account buildup of both AZ and SV components in the cell bodies of unc-104-null; wnd and unc-104-hypomorph;wnd double mutants (Figure 6).

The most important part of the model is that the Wnd pathway, which becomes activated when unc-104 function is lost, promotes a decrease the total cellular levels of many AZ and SV proteins. This effect is an important element of the synaptic phenotypes in both unc-104-hypomorph and null mutants. Our findings with unc-104-null mutants in Figures 5 and 6 show that this effect for Wnd signaling can be genetically and mechanistically separated from a transport role of Unc-104.

We originally interpreted that the reviewer may be cautioning us to be careful about implying precise motor-cargo relationships. It is indeed possible that Unc-104 plays some partial role in AZ localization – we simply need to be precise in our language. However our primary point is not about which motor carries which cargo. Instead, our findings explicitly reveal the pitfalls to interpreting motor cargo relationships from standard phenotypic analysis. Our finding that an axonal injury pathway is activated in unc-104 mutants provides a new view with alternative interpretations for other published studies in the field. Several relevant previous observations along with the exciting implications are discussed in Discussion section.

B) The strongest evidence for activation of Wnd in Unc-104 mutants comes from the puc-LacZ experiments in unc-104 RNAi lines (Figure 3B). Given the importance of this finding, it this experiment should be conducted in unc-104 null and hypomorphic mutants.

We agree that evidence for Wnd’s activation in the unc-104 mutants is an important part of the paper. We show this for two independent RNAi lines, which show similar phenotypes to the multiple hypomorphic alleles (bris and O3.1) used in this paper across other assays. The suggestion to show this for additional alleles is do-able. We already have puc-lacZ combined into unc-104-hypomorph lines so we think it would be straight-forward to include this additional data.

Importantly, we already present additional support that the Wnd pathway is activated. In unc-104-hypomorph mutant and RNAi lines we see synaptic over-branching phenotypes that are hallmark of Wnd activation, and these are dependent upon Wnd and downstream JNK and Fos signaling components (Figure 3—figure supplement 3, and also data not shown). We are thinking to move this data to the main part of Figure 3 instead of supplemental data for the revision.

We also show in hypmorph/null mutants that Wnd protein is physically altered in levels and localization by immunohistochemistry using two independent reagents: the GFP-tagged MiMIC-Wnd line (Figure 8) which tags endogenous Wnd with GFP, and also for transgenically expressed GFP-Wnd-KD (Figure 8—figure supplement 1), which has been used in previous studies of Wnd’s regulation (Collins et al., 2006; Xiong et al., 2010; Yan et al., 2016).

And finally, our epistasis experiments with unc-104 mutants suggests strongly that the Wnd pathway is responsible for synaptic phenotypes in unc-104 mutants, hence functions downstream. This analysis in late-staged embryos is technically challenging – only a few labs in the world can do it and it represents 9 months of effort on our part. The results were important for reaching an understanding of the relationship.

It's not clear how the proposed model leads to the specificity for unc-104 reported here. Have the authors investigated if cell body levels of presynaptic proteins are increased in these other mutants?

We see cell body accumulations of presynaptic proteins in multiple hypomorph and null unc-104 mutant combinations (Figure 6: bris/P350 and P350/P350; Unpublished: bris/d11204; o3.1/P350; 170/170; 52/52), and also for unc-104 RNAi knockdown in neurons (pan-motoneurons, using OK6-Gal4 or single motoneuron, using m12-Gal4). More importantly, under all these different conditions, when activation of the Wnd signaling is reversed/suppressed via wnd RNAi-knockdown or in wnd, unc-104 double mutants, the cell body accumulation is dramatically enhanced.

Upon reviewing the manuscript after reading the reviewer’s queries, we realize it would be helpful to provide more background information about the different ‘hypomorph’ alleles, and clarify/explain in more detail how all of the alleles show similar synaptic phenotypes and relationships with Wnd to that of simple knock-down of Unc-104 with RNAi.

In contrast to the multiple mutations that reduce Unc-104 function, mutations that impair kinesin-1 function show accumulations of presynaptic proteins within segmental nerves rather than in the cell bodies, and also do not significantly induce the puc-lacZ reporter (Figure 3B).

In Figure 8, the authors show that GFP-tagged Wnd MiMIC lines show increased Wnd in unc-104 mutants when well-characterized antibodies to Wnd (Collins et al., 2006) fail to show an increase. If they are going to include this data, the authors should provide an explanation for why the MiMIC data might provide a better indication of the underlying biology.

To examine Wnd protein levels, we employed multiple approaches (Figure 8). The Wnd antibody works great for Western Blots but not well for immunohistochemistry. The GFP epitope within the MiMIC-GFP-Wnd line allows for some detection by immunohistochemistry (which we show controls for here), hence an examination of protein localization. We were not able to detect a global increase in the levels of Wnd protein within brain extracts by Western Blot, but we were able to see changes in the enrichment of MiMIC-GFP-Wnd in cell bodies (but not in axons and synapses). In addition, we observe changes in the levels and localization of transgenically expressed GFP-Wnd-KD (Figure 8—figure supplement 1), which has been used in previous studies of Wnd’s regulation (Collins et al., 2006; Xiong et al., 2010; Yan et al., 2016).

The observation that a global increase in endogenous Wnd levels was not detected by Western Blot may benefit from some further clarification and discussion. The Western Blots are necessarily carried out with extracts made from dissected larval CNS/brains, pooled in entirety. We cannot isolate individual neurons for this analysis. We’ve observed that the activation of Wnd and the regulation of presynaptic proteins by Wnd appears most striking in motoneurons. The potential specificity to motoneurons makes it harder to detect simple biochemical evidence for the relationship using standard biochemical methods from whole larval brains.

C) The evidence that Wnd regulates the levels of presynaptic protein levels and in particular that it acts at the level of transcription is somewhat inconsistent. Upon Wnd overexpression, the authors observed decreased protein levels at active zones as predicted. However, in wnd null embryos they see increased levels in some proteins at some stages, but decreases in other proteins (e.g., Brp). This and the absence of a consistent effect on the timing or expression, weakens their conclusion that wnd controls the levels and timing of expression of AZ and SV components.

An important but overlooked point here is that Wnd signaling is normally highly restrained in wild type, uninjured animals. If its role is primarily to respond to injury or stress, then it is expected that loss-of-function phenotypes in an uninjured background should be mild. With an original motivation to understand whether there is also a role for Wnd during normal synaptic development, we examined these phenotypes carefully during development. We found that the wnd loss-of-function phenotypes are indeed mild. However, strikingly, we did notice some elevation in VGlut and Syt protein co-incident with the onset of expression for these proteins. Note that our model is NOT that Wnd functions as a major restraint on these proteins during normal conditions or during development. Rather, Wnd restrains these proteins when it is substantially activated. In normal conditions this may occur only at extremely low levels to keep total synaptic protein levels in balance.

The fact that we did not observe an increase in Brp does not negate the model. Very little is currently known about how the expression of AZ and SV proteins are regulated developmentally –this is an interesting topic for future studies. It is likely that multiple mechanisms exist for different proteins, and that Brp levels are not sufficiently high during these stages of normal development to detect a role for Wnd in uninjured animals.

In Figure 6—figure supplement 2, the authors present RT-PCR data that shows no decrease in transcription of synaptic proteins in unc-104 mutants as predicted by their model.

As discussed above for point B, studies with whole brain extracts (for Western Blot or RT-PCR analysis, referenced here) are likely to miss the cell specific regulation which is occurring in motoneurons. It is a future direction to profile the responses in motoneurons specificially. This requires some additional technical innovations since cell sorting causes axotomy, which activates the Wnd pathway on its own.

Other major concerns:

1) Much of the wnd, unc-104 interaction data was obtained using a previously published hypomorphic alleles of unc-104. Given their central role in this work, the authors should provide some information on the nature of these alleles.

We agree and can provide further clarification in the text. An important clarification point is that we see similar suppression by wnd mutants for multiple hypomorphic allele combinations of unc-104 mutants (See point B above and subsection “The Wnd signaling pathway mediates presynaptic defects in unc-104 mutants”), and also when Unc-104 protein levels are simply reduced by RNAi-knockdown. So we think that any manipulation that impairs Unc-104’s basic function leads to activation of Wnd signaling.

In the analysis of interactions between null mutants presented in Figures 5 and 6, it is important to include an analysis of wnd mutants alone (as in 6C-G) to rule out additive effects.

We have indeed included detailed analysis of wnd mutants alone at the embryonic stages in Figure 7. We should be able to include for reference some of the relevant data Figure 6A,B for comparison.

Have the authors analyzed dominant suppression of unc-104 phenotypes by wnd, which would strongly support the conclusion that the two genes function in a linear pathway?

We’ve observed that partial knockdown of Wnd signaling by RNAi can suppress unc-104 phenotypes (Figure 1—figure supplement 1B). We feel that experiments with wnd heterozyogotes would not really add much more to this paper, especially since it is not clear in our data that removal of one copy of wnd leads to a 50% reduction of Wnd levels in all cell types.

The reviewer may instead be referring to double-heterozygote experiments, which can be helpful for revealing relationships in a linear pathway via their sensitivity to gene dosage of both factors. This kind of analysis is more do-able when both genes have similar loss-of-function phenotypes. However unc-104 and wnd mutants have opposite loss-of-function phenotypes, so we’re not sure what we would learn from a double heterozygote.

2) An electrophysiological analysis was conducted in hiw mutants (where Wnd levels are increased), but should be completed in wnd overexpression lines to more directly test the hypothesis that increased Wnd explains functional defects in unc-104 mutants. Here, the authors present the surprising result that wnd suppresses the physiological defect in hiw mutants. This is in contrast to results published in an earlier paper with overlapping authors (Collins et al., 2006). They suggest the difference may be due to the use of different wnd alleles, but this needs to be addressed experimentally given the importance of wnd suppression phenotypes to this work and the high impact of the previously published result that is called into question.

The main point to communicate in Figure 4 is that ectopic activation of Wnd alone is sufficient to induce defects in synapse structure and function. We think that the suggested physiology characterization for wnd over-expression could further and more simply support this point. These experiments should be complete-able in a relatively short time frame, so we will aim to add this data to the revised manuscript. If we can indeed include this data, then we may then want to move the hiw data to supplemental data, where the partial differences with the 2006 study are less distracting.

While hiw mutants (and unc-104 mutants) show mild reductions in quantal content, they are significantly reduced for mini frequency. The observation that wnd mutations suppress hiw’s defect in mini frequency are actually conserved between both our observations and the previous 2006 study. The single difference is that the 2006 study did not reveal a suppression of the defect in quantal content, while ours does. We would indeed like to understand this better – resolving the differences will require repeating exactly the same allele combinations in our own conditions for comparison. This is do-able and we are willing to do it. The main point of this would be to provide further context for previous observations in the field rather than to further validate the observations we have made here in this paper (which we see for two allelic combinations and are consistent with the morphological data).

3) Given that synaptic function is fully suppressed in hypomorphs, it is surprising that locomotion and viability show little improvement. This disconnect should be further addressed by evaluating the relevant allelic combinations, not just RNAi. Relatedly, how is there so much movement in double null mutants (Figure 5—figure supplement 1) when there is essentially no SV transport to AZs?

Actually, neither of these results are surprising.

Our study indicates that the effects of Wnd signaling (which is activated in unc-104 mutants and is responsible for many interesting synaptic phenotypes) are separable from a primary function for Unc-104 in transporting SVs (Figure 5). In addition, Unc-104/KIF1A has many other proposed roles, including regulation of autophagy (Stavoe et al., 2016), lysosome transport (Guardia et al., 2016), insulin secretion (Cao et al., 2014), and cell migration (Carabalona et al., 2016). It would be presumptuous to assume or expect that we could completely rescue lethality in these animals, which are quite defective in many aspects. Likewise for locomotion: while we see strong phenotypes at the NMJ synapse, this is not the only synapse that animals need for locomotion. It is remarkable that we see ANY improvement in locomotion and viability.

For the unc-104-null mutants, the rescue is also extremely mild and we state this in the text (Subsection “Wnd inhibits synapse assembly independently of cargo transport downstream of Unc-104”). Perhaps the strong difference in bar graphs in Figure 5—figure supplement 1D give an impression there is a stronger suppression. However note that this is simply the “percentage of animals showing muscle movement” not the actual ‘degree’ of movement, and the movement is observed only immediately after the animals hatch. They die soon thereafter.

We worry based on these points and also the summary statement that these ‘modest’ or ‘inconsistent’ effects upon lethality and motility were a primary criticism for the paper. Therefore it is important to clarify that these effects are consistent with the model we present in the paper (if they were stronger they would actually argue against it). The ‘modest’ rescue of lethality should not diminish the importance of our findings, which identify specific cellular roles for Wnd in unc-104 mutants.

4) It was cumbersome to parse through the data as presented in 21 figures (9 main plus 12 supplemental) including 2 separate model figures.

We appreciate the efforts from the reviewer to evaluate all of the data, and their feedback has helped us see how we might be able to improve the writing to make the paper less cumbersome to read. It has been over 7 years of hard efforts between our two labs to reach our current understanding of the surprising relationship between Unc-104 and Wnd. There are many more data that are not included in this paper. We will work further on the writing to better communicate how the individual experiments build upon one another to fit into the big picture story.

Figure 6E was presented in a way that made it especially difficult to compare genotypes.

We appreciate this point. It is important to consider the levels in the different cellular compartments and to assess differences in total levels accounting for all of the compartments. This comparison is our goal for Figure 6E. If one examines synaptic levels alone (in Figure 1F), that is only part of the story.

It also looks like the effect of wnd loss of function on Brp levels is very different between Figures 1F (no effect) and 4G (nearly doubled).

The wnd mutants in Figure 1F (1.4 fold) and 4G (2 fold) are slightly different in genotype and strain background (wnd3/3 and wnd3/df, respectively). Since the wnd3/3 animals are maintained in the same strain background there is a chance to accumulate genetic modifiers of the phenotype in the background. We prefer to carry out all of our studies with two different alleles crossed to one another to be certain the phenotype is indeed due to the mutation we are manipulating.

Reviewer #2:

[…] While these represent important, transformative, and convincing advances in our understanding of unc-104 and Wnd/DLK signaling in synapse formation, the one weakness of the paper is that it does not uncover HOW Unc-104 regulates Wnd signaling, or how Wnd signaling constrains synaptic protein levels. Filling this gap is likely beyond the scope of the current work and not necessary to merit publication in eLife, but there are several points that the authors could address based on their current approaches:

We are glad that reviewer 2 shares the same point of view with us in both strengths and one weakness. We also agree that this weakness is beyond the scope and not necessary for our current work to be published. The reviewer’s suggestions listed below are fair and we are ready to address all of these points.

1) It is important for the authors to quantify Wnd-MiMIC levels in the neuronal cell bodies (akin to the way they quantified UAS-WnkKD in supplemental Figure 1 to Figure 8). They should also explain why they used the kinase dead version and whether they believe it behaves differently from wild type Wnd.

The quantification of Wnd-MiMIC levels can certainly be included in the revised manuscript. Ectopic expression of Wnd (lacking the kinase mutation) leads to lethality and technical complications. We can also add additional information about the Wnd-kinase-dead (KD) transgene, which has been used in previous studies to uncover biologically important mechanisms of regulation (Collins et al., 2006; Xiong et al., 2010; Yan et al., 2016). See also our discussion to reviewer 1’s point B, above.

2) The authors present hiw data but do not address hiw function in their model or discussion. The authors should measure hiw RNA and/or protein levels in Unc-104 mutants to ask if hiw is contributing to the phenotype. If hiw protein (but not RNA) is downregulated in the unc-104 mutant, it might suggest that autophagy-mediated degradation of Hiw (as per Shen et al., 2009), and perhaps other synaptic proteins, underlies the regulatory mechanism by which unc-104 constrains synaptic protein levels in response to cell body accumulation of cargo. This could be simply tested by evaluating the amount and distribution of an autophagy flux marker such as ATG8-GFP-mCherry.

These interesting suggestions center around the goal of understanding whether Hiw, a major known regulator of Wnd, plays a role in Wnd’s activation in unc-104 mutants. Based on several observations thus far (some in the manuscript and some yet unpublished), we think that loss of Hiw function is unlikely to explain or mediate the activation of Wnd in unc-104 mutants.

1) The effects of hiw and unc-104 mutants upon the levels and localization of Wnd are strikingly different: in hiw mutants, the levels of Wnd are strongly elevated throughout the animal and this elevated Wnd protein is observed to localizes to synapses and neuropil (Collins et al., 2006, and also Figure 8B). In contrast, unc-104 mutants cause more modest changes to Wnd protein and levels, and these changes are only observed in cell bodies, not synapses (Figure 8 and supplements).

2) hiw mutants show a strong delay in axonal degeneration (Xiong et al., 2012; Babetto et al., 2013). However we found no delay to degeneration in unc-104 mutants (unpublished).

3) Western blot results did not show an obvious reduction in Hiw protein level when unc-104 is knocked down (unpublished).

The potential role of autophagy is an interesting topic to further understand. Thus far we have found that null mutations in atg7 and knock-down of atg13 or Fip200 in neurons, which are critical for different stages of autophagy (Fougeray and Pallet, 2015), did not alter Wnd signaling using puc-lacZ as a reporter (unpublished). This runs a bit counter to predications suggested by the Shen et al., 2009 study. So more needs to be done to sort this out and this is a topic for future work.

3) The observation that ectopic overexpression of Brp, SytI and VGlut leads to increased puc-lacZ reporter signal begs the question whether this also triggers changes in Wnd (or hiw) levels or localization, as these results could provide more insight into the mechanism via which Unc-104 deficits lead to Wnd activation.

This is a good suggestion but a negative or mild result could occur simply because the effect of overexpressing a single pre-synaptic protein does not activate the pathway to the same extent, so would not be useful in ruling out a model. We appreciate that the reviewer acknowledges that filling the gap of HOW Unc-104 regulates Wnd signaling ‘is likely beyond the scope of the current work and not necessary to merit publication in eLife’. We have some additional ideas on this question that we want to carry out in future studies.

Reviewer #3:

This paper describes a genetic interaction between the Unc-104 motor protein and the Wnd DLK kinase. The authors presented impressive amount of data from synapse cell biology to physiology with an attempt to conclude that Wnd activation is sensitive to disruption of unc-104 mediated transport of some axonal components.

This statement reflects some confusion between our major conclusions in the paper with models and ideas that we raise. We propose an idea that Wnd pathway activation is sensitive to build-up of Unc-104’s cargos. However this is the speculative idea in the paper, which is framed as a model for thinking about the data as a whole, combined with other observations in the field. It is not the primary goal of the paper to reach this idea as a ‘conclusion’.

The measurement for Wnd activity mostly relied on induction of a puc-LacZ reporter in the soma, and morphological changes of NMJ terminals.

In addition we showed an induction of Wnd protein levels and localization in motoneurons using two independent reagents/methods (endogenous MiMIC-tagged Wnd (Figure 8B-C) and ectopically expressed GFP-Wnd (Figure 8—figure supplement 1B-D), and extensive genetic interactions (Figures 13 and Figure 5 with accompanying supplements). Importantly, the genetic interactions include suppression of NMJ phenotypes in unc-104 null mutants (Figure 5 and accompanying supplement), which suggests that Wnd functions downstream of Unc-104 to mediate major aspects of the synaptic phenotype. Please also see our discussion for reviewer 1 point B.

While experiments are generally carefully done, individual experiment serves the purpose of supporting the genetic interaction. However, as a whole, the paper feels like a catalog of correlative connections, missing conceptual depth. A consistent term used throughout the paper is "modest effect" or "modest role", suggesting ambiguity of the observations and the conclusions. Some of the issues could be addressed by re-writing, others need additional data.

This paragraph is also used in the summary statement. However the point that “the paper feels like a catalog of correlative connections, missing conceptual depth” is not well explained with sufficient points for us to understand how this conclusion is reached. The actual itemized points for this reviewer (as we discuss below) and the other reviews (as discussed above) are all readily addressable, and do not detract from the major conclusions and impact of this paper.

While the genetic interaction between Unc-104 and Wnd is very strong, there are indeed several results in the paper that show “modest” effects, and we also presented several negative data. However all of these data are helpful for reaching our understanding of the relationship between Unc-104 and Wnd. Importantly, all of these “modest” effects are consistent with the model we propose, and none are essential for the primary conclusions of the paper. Reasons for “modest effects are discussed in points C and 3 from reviewer 1. Due to the misunderstandings reflected in the comments, we plan in revision to do a better job with the writing to make these reasons clear up front, so that is easier for readers to follow the expectations for individual experiments and how they build upon one another.

Their observation that Wnd suppresses the lethality of unc-104 mutants is the key observation led to this study. But it is not clear whether this suppression is directly caused at the level of presynaptic transport. Does inhibition of Wnd downstream factors, JNK and FOS, also suppress unc-104 lethality? In subsection “Wnd inhibits synapse assembly independently of cargo transport downstream of Unc-104” the final sentence of the second paragraph seems to state that "most or all" unc-104; wnd mutants actually die. Is the suppression of lethality rather minor?

There is a significant misunderstanding here: the suppression of lethality data is NOT a ‘key observation’ in this study! Instead, the key observations that led to and are fundamental to our study are the striking suppression of synaptic phenotypes (for which we have extensive data in Figures 1, 2, supplemental data and additional data not shown). We show in this paper specific cellular phenotypes that are mediated by Wnd, which provide a richer depth of information than is possible with simple lethality data.

The suppression of lethality is indeed only partial and this makes sense with the model we have reached. As we have detailed above in the discussion for reviewer 1’s point 3, the genetic data with unc-104 null mutants tells us that while activated Wnd signaling is responsible for many of the synaptic phenotypes of unc-104 mutants, this is separate from other important transport functions of Unc-104,

We suspect that some confusion about the expectations for the lethality data along with some confusion about its extent expressed by reviewer 1 may have distracted the reviewers’ discussion to result in the ultimately negative conclusion for this paper. With these points clarified we think the reviewers may reach a different conclusion.

In axon regeneration analysis in unc-104 mutants, the observed effects should be rescued using wild type unc-104.

While this experiment is do-able, it would not add much to the paper. We included the enhanced regeneration as further evidence that the Wnd pathway is activated in unc-104 mutants. However we already have other data that more directly shows this point, so we could simply remove this data without impacting our conclusions for this paper. It may still be useful for the field have the regeneration data included for information that it may add to other published studies. For instance, a recent study from the Colon-Ramos lab (Stavoe et al., 2016) suggested that unc-104 mutants show enhanced axonal outgrowth phenotypes in C. elegans PVD neurons. This may be consistent with the enhanced axonal regeneration phenotype we have observed here. However, because this is not essential data for the conclusions of our study, we hope the reviewers agree to go forward without the rescue data for the unc-104 regeneration phenotype.

In the revision, we plan put the regeneration data into the supplemental data, and instead bring the synaptic overgrowth data from supplemental data (Figure 3—figure supplement 1) into the main text. The overgrowth data provide further support for the conclusion that Wnd signaling is activated in unc-104 mutants.

Subsection “Activation of the Wnd signaling pathway in neurons is sufficient to impair presynaptic structure and synaptic transmission”: first paragraph, the authors state "ectopic activation of Wnd should mimic the unc-104 mutant phenotypes". But where is Wnd normally activated?

Please see our discussion above for reviewer 1’s point C. All of our data, combined with other data in the field for Wnd/DLK function in flies and worms, suggest its activity is restrained to very low levels in ‘normal’ wild type uninjured animals. Most previous work in the field has focused on Wnd/DLK’s role in injured neurons (when it is activated). There has previously been no supporting data (in flies or worms) to indicate that Wnd also functions in uninjured animals. In this present study we explored this question more deeply, through a careful analysis of wnd loss-of-function phenotypes during stages of embryonic development in Figure 7.

In the same section, second paragraph: The authors made a comment about the result in Figure 4D-F being differed from their previous study that used a hypomorphic allele of Wnd". They should perform the same analysis in parallel on both null and that hypomorphic allele.

Please refer to our discussion of this for reviewer 1’s point 2 above. Importantly, and similarly to the other points, this point is addressable and is also not essential for the main conclusions of this paper.

They talked about similarities of how loss of Hiw or of Unc-104 affect Wnd function. An important experiment should include a double mutant study of Hiw and unc-104.

We believe that this suggested experiment is to help in determining whether Hiw and Unc-104 regulate Wnd through the same or distinct pathways. However a consideration of the potential outcomes makes it unlikely that the experiment will yield new information. One would need to compare Wnd levels and localization in the hiw; unc-104 double mutants to hiw and unc-104 single mutants, which have very different phenotypes for both levels and localization. Because of the major transport defects in unc-104 mutants, it is unlikely that Wnd localization and levels in the double mutant would resemble the hiw single mutant. Instead it is quite likely that one would observe increased levels of Wnd (due to loss of hiw function) AND an in increase in levels of Wnd in the cell body which occurs in the unc-104 mutants. This kind of data would not help us distinguish whether Unc-104 and Hiw regulate Wnd through a common pathway or parallel pathways.

However to address the general question we could include some more discussion about potential relationships between Hiw and Unc-104. See our discussion for reviewer 2’s point 2. However this relationship is a discussion point that is not essential for the major conclusions of this paper.

So, in summary for this point we respectfully disagree that analysis of the hiw; unc-104 double mutant is an important experiment for this paper. Instead, it would be reasonable to include the discussion to reviewer 2’s point 2 above in the published review and rebuttal section for eLife. This would be a great format for the field to see these additional points discussed, which are side-points for the main points of the paper.

[Editors' note: the author responses to the re-review follow.]

While we are happy to consider a revised manuscript, you will see that we have some serious concerns that need careful attention. We see merit in the author's rebuttal letter that the most concerns can be addressed with rewriting and some additional experiments and key issues addressed. The overall impact of the work, if these points are well-addressed, can be strong, since it provides a fundamentally new model for how unc-104 contributes to neuronal function, by activating an axonal injury pathway. However, the data and model also need to be explained more clearly to be digestible by a broad readership such as at eLife.

We appreciate the opportunity to address the points raised in the review. We have now provided the additional requested data, itemized below.

In addition, the questions raised in the first round of review helped us see how the writing and manuscript organization could be improved so that a broader audience could follow the narrative and the significance of our findings. To accomplish this we made changes in the order of data (Figure) presentation, and changes in text throughout the paper including the Abstract, Title, and Results. The accompanying ‘track changes’ version of the manuscript highlights the significant changes since the first version.

In response to the concerns raised about inconsistent results in their wnd loss-of-function analysis, the authors are dismissive, imploring us to "Note that our model is NOT that Wnd functions as a major restraint on these proteins during normal conditions or during development," yet their subheading describing these results is "Wnd restrains the expression of presynaptic proteins at early stages of synaptogenesis."

We appreciate this point, and apologize that the previous attempt to explain our thinking came off as dismissive. In our revision we have worked to communicate our interpretation of results more carefully.

The principal finding in the paper is that Wnd signaling accounts for synaptic defects in unc-104 mutants by down-regulating the expression levels of SV and AZ protein components. However this is a pathological context, in unc-104 mutants. We wondered whether Wnd signaling ever plays a similar role in wild type animals.

Previous studies have suggested that while Wnd/DLK signaling becomes activated in injured neurons, it is normally highly restrained in uninjured animals (Collins et al., 2006; Xiong et al., 2010), and, in contrast to its essential role in responses to axonal injury, roles for Wnd in developmental axonal outgrowth or synapse formation have not been previously described (Collins et al., 2006). Importantly, the function of the Wnd signaling pathway had not previously been examined at the critical developmental stages of synapse formation, due to the technical challenges of dissecting late-stage embryos (whose diameter is approximately the size of two human hairs). The late-stage embryo dissection skills that we mastered for this project allowed us to probe this question carefully with the results presented in Figure 8.

Our findings (in Figure 8) indicate that the effects of wnd mutations upon SV protein expression are indeed modest in comparison to the dramatic effects of wnd in unc-104 mutants. However they are nevertheless interesting to report since they suggest that Wnd signaling also restrains synaptic protein levels during development in wild type, uninjured animals.

According to the modified text, we changed the subheading of this section to “Wnd delays the expression of SV proteins during early stages of synapse development”, and we have made large revisions in writing for this section.

In a second example, the authors dismiss concerns about their analysis of MiMIC-GFP instead of endogenous Wnd levels by simply stating that the Wnd antibody does not work well for immunohistochemistry without addressing the fact that they have previously published analogous experiments using their Wnd antibody for immunohistochemistry (Collins et al., 2006). The authors may want to pay particular attention to these points.

As the reviewers pointed out, the Wnd antibodies developed in (Collins et al., 2006) could successfully detect a robust and Wnd-specific signal by both immunohistochemistry (IHC) and western blot (WB) in hiw mutants, when Wnd protein is elevated. However in wild type as well as unc-104 mutant animals, we were unable to detect a reproducible IHC signal above background in our current conditions using these antibodies. While some misfortune may be potentially attributed to poor antibody storage conditions, we consider the difference between hiw mutants (in which a signal can be detected) and unc-104 mutants (where we failed to detect an IHC signal) to be meaningful.

For the additional reagents used to examine Wnd protein, we have added some additional explanation into the manuscript text. That section is quoted here:

“We then looked further at Wnd’s localization using available reagents. By immunocytochemistry (IHC) with anti-Wnd antibodies, Wnd protein remained below the detection threshold in both wild type and unc-104 mutant animals (data not shown). […] This highly expressed transgene also revealed an increase in cell body localized Wnd in unc-104 mutants (Figure 5D and F).”

The authors should measure puc-LacZ expression in additional unc-104 mutants.

We have now included puc-lacZ measurements for additional unc-104 alleles (O3.1/170 and bris/170) in Figure 4B. All of the mutations tested (including the RNAi-knockdown, shown previously) lead to significant induction of puc-lacZ expression (Figure 4B).

Also, rescue of additional phenotypes aside from NMJ morphology and active zone apposition to PSD (e.g. lethality or synaptic function) by BSK and FOS would provide strong support for the model.

We have added new electrophysiology data which shows that inhibition of downstream Wnd signaling components Fos or Bsk mimics wnd mutations in rescue of the severely impaired spontaneous synaptic release (mEJP frequency) in unc-104 mutants (Figure 3C and Figure 3—figure supplement 1A). In addition, inhibition of Bsk rescued mEJP and EJP amplitude while inhibition of Fos rescued EJP amplitude and quantal content in the unc-104 mutant background (Figure 3—figure supplement 1). These data add further support to the model that Wnd signaling mediates the synaptic transmission defects when Unc-104’s transport is disrupted.

We also included additional data that inhibition of Fos and Bsk (JNK) also mimic wnd mutations in the accumulation of SV and AZ proteins in the cell body of unc-104 mutants (Figure 7—figure supplement 2). These data further indicate that the signaling cascade downstream of Wnd promotes the restraint of presynaptic protein levels in unc-104 mutants.

However, I was not concerned that the Mimic tool showed an increase in Wnd while the western blot did not, since the Mimic tool accounts for changes in subcellular distribution – this point can be addressed better by the authors in the manuscript. However, it is absolutely essential that the MIMIC phenotype be quantified and use of the Kinase Dead explained in the text.

We have added quantification for the changes noted for MiMIC-wnd-GFP (Figure 5E) and explanation of the GFP-wnd-kinase dead reagent in the text.

The effect of wnd on the timing and expression of presynaptic proteins needs to be much more clearly explained, as discussed in the rebuttal. As it stands this section is very distracting and confusing.

We have done significant re-writing for this section to more clearly explain the rationale, expectations and interpretations of the study of wnd loss-of-function phenotypes during synaptic development (Figure 8 and subsection “Wnd delays the expression of SV proteins during early stages of synapse development”).

In addition, based on the original round of review, we think that the data for Brp IHC in wnd mutants added an additional layer of confusion: in the initial manuscript (previously Figure 7—figure supplement 1) we saw that Brp levels were slightly reduced in wnd mutants, which contrasts with the enhanced levels we observed for SV associated proteins VGlut and Syt1 at early stages of synapse development. We argued in our appeal that this difference does not negate the model: since very little is known about how different AZ and SV proteins are regulated developmentally, there is no reason to predict or expect that Brp levels would be sufficiently high in stage 15-17 animals to be subject to restraint by Wnd signaling.

Since our observations with Brp did not negate the model but instead opened up new questions, we realized that it is more distracting than it is useful given our current state of knowledge. So we have decided to remove this data from the revised manuscript.

The authors should also clarify their model for how synaptic protein levels are regulated in the unc-104 mutants (though the authors do discuss the RT-PCR data and I agree with them that RT-PCR detects transcripts from all the cell types in all the tissues used for the mRNA prep, and does not account for specific defects in protein levels and localization at the neuronal cell bodies and synaptic terminals). The main point of the paper does not hinge on a particular model of synaptic protein level control, but the authors do need to clarify their explanations, either in the text or with more experiments.

As agreed by the reviewer, the major effect we observed by IHC on presynaptic protein expression occurs in motoneurons. Since the RT-PCR data was obtained from the entire larval CNS, this data is limited in sensitivity and utility for making conclusions about any changes in mRNA levels in motoneurons. Therefore we have removed this data (previously Figure 6—figure supplement 2).

And, as requested, we have now added further discussion for the question of HOW Wnd signaling may be regulating presynaptic protein levels, quoted below:

Quoting from revised text, in the Results:

”These observations, combined with the observations that Wnd activation reduces the levels of Brp and VGlut at NMJs, suggest a model in which activated Wnd signaling leads to a down-regulation of the expression levels of multiple pre-synaptic proteins in unc-104 mutants. […] This, together with the involvement of transcription factor Fos in restraining VGlut and Brp buildup in cell bodies (Figure 7—figure supplement 2), implies that Wnd signaling may inhibit presynaptic protein expression at the transcriptional level.”

And in Discussion:

“How does Wnd signaling regulate presynaptic proteins? […] On the other hand, previous studies have separately linked Unc-104, Wnd signaling and AP-1 (Fos) to autophagy (Guo et al., 2012; Shen and Ganetzky, 2009; Stavoe et al., 2016). It will be interesting to determine whether translation and/or autophagy contribute to the regulation of presynaptic proteins by Wnd signaling.”

Wnd null mutants alone should be included in Figure 5 and 6 for comparison in this specific assay.

Our revision includes these controls side-by-side in the figures for comparison. Due to our reorganization the previous Figure 5 (suppression of the unc-104-null phenotype) is now Figure 1, and the previous Figure 6 (dramatically elevated presynaptic protein in unc-104;wnd-null mutant embryos) is now Figure 7—figure supplement 1. For these phenotypes the wnd single mutants resemble wild type animals.

However, though phenotypes in transheterozygotes can be informative, lack of a dominant transheterozygote phenotype might just reflect gene dose requirements, and so we did not put as much weight on that particular experiment.

We have examined synaptic defects of transheterozygotes (unc-104bris/P350;wnd3/+) and found that heterozygous mutations in wnd fail to dominantly suppress the unc-104 defects. Since this observation neither proves nor negates the overarching model, we decided not to include this data.

Electrophysiological analysis (and synaptic vesicle protein levels) in wnd overexpression lines would provide strong corroboration that increased Wnd explains functional defects in unc-104 mutants.

This was a great suggestion – this experiment provides more direct evidence than the analysis of hiw phenotypes (which is now moved to supplementary data). We provided these analysis in the revision, in Figure 6B and 6D-I.

Quoting from subsection “Activation of the Wnd signaling pathway in neurons is sufficient to impair presynaptic structure and synaptic transmission”:

…“Indeed, over-expression of wnd alone in motoneurons resulted in cell-autonomous presynaptic defects that are comparable to unc-104 mutants. […]Taken together with the rescue of unc-104 synaptic defects by wnd mutations (Figures 13), these data indicate that activation of Wnd signaling leads to strong perturbations in presynaptic structure and function.”

Addressing the discrepancy with previous results (Collins 2006) on Wnd suppression of the hiw phenotype will be also be important.

First, it is important to clarify that our cumulative electrophysiological observations in the paper suggest that activation of the Wnd pathway does not strongly impair quantal content. Instead, the strongest and most salient defect caused by Wnd pathway activation is a reduction in spontaneous mEJP frequency. The frequency of detectable mEJP events was reduced in unc-104bris/P350 and hiwΔN mutants by ~70% and ~80%, respectively, and this defect was fully suppressed by mutations in wnd as well as downstream signaling components bsk and fos (Figure 3A, 3C and Figure 6—figure supplement 2). Also, mEJP frequency becomes strongly reduced when Wnd is ectopically expressed (Figure 6D and F). We also observed modest but statistically significant reductions in mEJP amplitude mediated by Wnd (Figure 3D, 6G and Figure 6—figure supplement 2). These observations are consistent with the data reported for Wnd-mediated synaptic transmission defects in hiwND8 mutants in the 2006 study. The 2006 study did not quantify mEJP frequency, but the effect is apparent in the published traces, and is now quantified in our partial repeat of that data (Figure 6—figure supplement 2).

The only difference between our findings and the 2006 study was that the 2006 study showed that wnd mutations failed to suppress hiw defects in quantal content, while our data suggested that quantal content defects may be partially suppressed by wnd mutations. The two studies used different alleles of hiw and wnd, so to understand the basis for the differences, we carried out additional electrophysiology recordings for multiple allele combinations for side-by-side comparisons (Figure 6—figure supplement 2). Confirming/repeating the 2006 result, hiwND8; wnd1/2 double mutants showed the same defects in quantal content as hiwND8 mutants alone. The partial rescue by wnd3/Df mutations in hiwΔNmutants is only of borderline significance (it was more significant when we used higher calcium bathing solution in our first submission). We noted that hiwΔN, which is a true null allele (Wu et al., 2005) showed a slightly lower quantal content than hiw ND8(Figure 6—figure supplement 2). This suggests the potential for a modest role of Wnd in the hiwΔN quantal content phenotype, however further controls would be needed to fully address this possibility.

As discussed above, in contrast with the reduced mEJP frequency and mEJP size, altered quantal content is not a strong feature of Wnd pathway activation. So we have focused our conclusions in this study to the effect of Wnd pathway upon spontaneous rather than evoked neurotransmission.

On the other hand, experiments to address the cellular function of hiw would be nice but are not essential to the main interesting points of the paper. If the authors have the data or a more clear model of the role of hiw, it would be helpful to include, but we don't think it's necessary.

We have provided a more clear discussion of the differences between unc-104 mutants and hiw mutants:

Quoting from subsection “Wnd protein is mislocalized to the cell body in unc-104 mutants”:

… “Mutations in hiw lead to strongly elevated levels of Wnd protein whose localization can be detected in neurites and at synapses (Collins et al., 2006). […] These observations suggest that the mechanism of Wnd signaling activation in unc-104 mutants is unlikely to occur via Hiw.”

Interestingly, the activation of Wnd signaling in mutants for the spectroplakin shortstop (shot)(Valakh et al., 2013) bears more resemblance to unc-104 mutants. (That is, in contrast to hiw mutants, and similarly to unc-104 mutants, shot mutants also do not cause global increases in Wnd protein levels (Valakh et al., 2013)). Another recent study suggests that shot, unc-104, and tau mutants may influence a similar pathway (Voelzmann et al., 2016). This suggests a possibility that unc-104 and shot mutants (which likely disrupt neuronal cytoskeleton) may share a similar mechanism of Wnd signaling activation.

The rescue of the axon regrowth phenotype are not critical for the main conclusions of the paper and could take a lot of time.

We appreciate this point. We observed enhanced axonal growth after injury both in unc-104-hypomorph/null mutants and in independent RNAi lines for unc-104 (Figure 4E-G). However showing rescue of this phenotype would require additional time.

[Editors' note: further revisions were requested prior to acceptance, as described below.]

Reviewer #1:

In their revised manuscript, the authors have been very responsive to reviewer suggestions. The logical flow of the manuscript is significantly improved and experimental concerns directly addressed.

I have one question regarding the addition of wnd null data to Figure 1 and Figure 7—figure supplement 1. Is it still accurate to state that "Control and Experimental animals were always dissected, fixed and stained in the same dish/slide and imaged in parallel using identical confocal settings" (Experimental Procedures,), or were the new data obtained in separate experiments and normalized to wild type for incorporation with previously obtained data?

Good point – for the embryo data we needed to dissect and fix independently but these were fixed for the same time points and imaged in parallel with identical settings. We have modified the quoted text to be more accurate by replacing “same dish/slide” with “same condition”. See subsection “Immunocytochemistry”.

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    Figure 3—source data 1. Measurements of EJP and mEJP.

    The file contains data from 3 independent experiments and 6 source data sheets: EJP amplitude, corrected EJP amplitude and Quantal content, mEJP amplitude and frequency of CS, unc-104, unc-104;wnd and wnd. This is corresponding to Figure 3.

    DOI: 10.7554/eLife.24271.012
    Figure 3—source data 2. Measurements of EJP and mEJP.

    The file contains EJP amplitude, corrected EJP amplitude and Quantal content, mEJP amplitude and frequency of CS, unc-104bris/d11204, unc-104bris/d11204;bskDN and bskDN. This is corresponding to Figure 3C and Figure 3—figure supplement 1.

    DOI: 10.7554/eLife.24271.013
    Figure 3—source data 3. Measurements of EJP and mEJP.

    The file contains EJP amplitude, corrected EJP amplitude and Quantal content, mEJP amplitude and frequency of CS, unc-104bris/O3.1, unc-104bris/O3.1;fosDN and fosDN. This is corresponding to Figure 3C and Figure 3—figure supplement 1.

    elife-24271-fig3-data3.xlsx (100.4KB, xlsx)
    DOI: 10.7554/eLife.24271.014
    Transparent reporting form
    DOI: 10.7554/eLife.24271.030

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