Introduction

Synapse formation, elimination, and remodeling are fundamental processes in neuronal circuit development and are essential for dynamic plasticity that enables adaptation to sensory experience and physiological stress (BASTRIKOVA et al. 2008; COLON-RAMOS 2009; YOSHII AND CONSTANTINE-PATON 2010; CHOU et al. 2020; BHARMAURIA et al. 2022; HEDRICK et al. 2024). Disruptions in these pathways are implicated in various neurodevelopmental and neurodegenerative disorders (WASHBOURNE 2015; DEJANOVIC et al. 2024). Consequently, these structural changes are tightly controlled by intracellular signaling networks and membrane trafficking pathways that coordinate synaptic growth and maintenance (CRAVEN AND BREDT 1998; DESHPANDE AND RODAL 2016; CHOU et al. 2020; JIANG et al. 2021). While several core regulators of synaptic growth have been identified, the molecular mechanisms that fine-tune neuronal signaling and integrate them with intracellular trafficking remain incompletely understood.

Endocytosis, particularly CME, plays a central role in synaptic development by regulating receptor trafficking, signal attenuation, and synaptic vesicle recycling (DI FIORE AND DE CAMILLI 2001; ROYLE AND LAGNADO 2003; HEERSSEN et al. 2008). For instance, mutations in endocytic components, including Dynamin, Nervous Wreck (Nwk), AP2 subunits, Synj1, or Endophilin, lead to aberrant synaptic growth, characterized by excessive bouton number, altered bouton size, and/or disrupted active zone spacing (DICKMAN et al. 2006; O’CONNOR-GILES et al. 2008; ZHAO et al. 2013; LAUGKS et al. 2017). These phenotypes are primarily attributed to hyperactivation of the BMP signaling pathway (KESHISHIAN AND KIM 2004; MCCABE et al. 2004). The BMP pathway, activated by muscle-derived Glass bottom boat (Gbb) binding to Thickveins/Saxophone/Wishful thinking (Tkv/Sax/Wit) receptors, induces Smad-mediated gene expression that promotes synaptic growth (MCCABE et al. 2003; GOOLD AND DAVIS 2007; BALL et al. 2010; RODAL et al. 2011; SMITH et al. 2012; VANLANDINGHAM et al. 2013). While endocytosis modulates this signaling by regulating receptor trafficking, and its disruption enhances BMP activity (DICKMAN et al. 2006; CHOUDHURY et al. 2022), the BMP-independent roles of endocytosis in synapse growth signaling remain largely unknown.

Genetic studies in Drosophila indicate that suppressing BMP signaling alone does not fully rescue the synaptic overgrowth observed in endocytic mutants (COLLINS AND DIANTONIO 2007a; CHOUDHURY et al. 2022), suggesting that additional, parallel pathways are required to restore normal synaptic morphology. One such pathway is the Wnd/DLK-JNK cascade, which may act as an additional signaling pathway for synaptic remodeling. Consistent with such a hypothesis, Hiw/Phr1 links autophagy and MAP3K signaling by targeting Wnd for degradation (COLLINS et al. 2006; WU et al. 2007). While autophagy induces synaptic growth by reducing Hiw level (SHEN AND GANETZKY 2009), Hiw negatively regulates synaptic growth by targeting Wnd, a key activator of the JNK pathway, for degradation (COLLINS et al. 2006; WU et al. 2007). Loss of Hiw leads to persistent JNK activation, NMJ overgrowth, and is similar to endocytic mutant defects. Hiw also promotes the degradation of co-Smad Medea, implicating it as a key regulator of both BMP and JNK pathways (MCCABE et al. 2004). While mutations in Medea only partially suppress the synaptic overgrowth, wnd mutants completely suppress the synaptic overgrowth observed in the hiw mutants (COLLINS et al. 2006; COLLINS AND DIANTONIO 2007a). These genetic epistatic studies imply that, similar to hiw mutants, endocytic mutants might regulate multiple signaling pathways that restrict synaptic growth.

Here, we identify a previously unrecognized role for endocytic proteins in restricting synaptic growth by regulating the trafficking, localization, and activity of Hiw. Our study reveals that impaired endocytosis leads to the accumulation and mislocalization of Hiw into dense, inactive condensates within neuronal cell bodies. These aberrant Hiw assemblies cannot target Wnd for degradation, resulting in elevated Wnd levels and sustained activation of JNK signaling. We further demonstrate that Rab11-positive recycling endosomes are crucial for Hiw trafficking, as Rab11 loss recapitulates endocytic mutant phenotypes, including Hiw condensate formation and Wnd upregulation. Our findings support a model in which endocytosis, through Rab11-mediated recycling and autophagy, enables proper localization and turnover of Hiw/Phr1, preventing its sequestration in inactive condensates and thereby limiting Wnd-JNK signaling. Thus, our work expands the functional repertoire of endocytic proteins and underscores their essential role in maintaining synaptic homeostasis.

Results

Endocytic Impairment Drives Hiw/Phr1 Accumulation and Synaptic Overgrowth Independent of Autophagy

Endocytosis is an established regulator of Drosophila NMJ growth, in part because defective endocytic machinery elevates retrograde BMP signaling and leads to synaptic overgrowth (O’CONNOR-GILES et al. 2008; BALL et al. 2010; RODAL et al. 2011; CHOUDHURY et al. 2022). However, blocking BMP signaling only partially suppresses the overgrowth observed in several endocytic mutants (COLLINS AND DIANTONIO 2007b; CHOUDHURY et al. 2022), indicating that additional pathways contribute to this phenotype. This motivated us to investigate whether altered Hiw–dependent JNK signaling contributes to this process. Hiw is one of the key regulators of JNK signaling and synaptic growth (WAN et al. 2000; COLLINS et al. 2006), and strikingly, endocytic mutants show synaptic phenotypes that closely resemble those observed in hiw mutants (WAN et al. 2000).

In order to analyze the Hiw/Phr1 levels in the endocytic mutants, we expressed GFP-Hiw in AP2 and synj1 mutant neurons. The GFP-Hiw intensity was significantly elevated in the ventral nerve cord (VNC) of the endocytic mutants (Figure 1A-I and 1M). Careful examination of Hiw organization in these mutants revealed formation of large cytoplasmic puncta in motor neuron cell bodies (Figure 1C–K). These Hiw punctae were fewer in number (Figure 1J) but had a significantly larger size when compared to controls (Figure 1K), suggesting aberrant Hiw accumulation into large assemblies. Importantly, the expression of GFP alone in AP2 mutants did not induce GFP accumulations or increased GFP intensity, confirming that the phenotype was not due to overexpression artifacts (Figure 1B-K). Consistently, knockdown of other AP2 subunits (AP2α/AP2β) also induced the formation of Hiw puncta in neuronal cell bodies (Figure S1A-D). Concurrently, Hiw levels at NMJ were significantly reduced in AP2 or synj1 mutants (Figure S1E-I), suggesting defective trafficking to synaptic terminals.

Autophagy serves as an additional layer of regulation for Hiw and thereby modulates synaptic growth. Under normal conditions, Hiw protein levels are regulated through autophagic degradation (SHEN AND GANETZKY 2009). Our observation of increased Hiw levels and their accumulation in the endocytic mutants, together with the well-established functional interplay between endocytosis and autophagy (TOOZE et al. 2014; KAKUTA et al. 2017; BIRGISDOTTIR AND JOHANSEN 2020), and the role of CME in autophagosome biogenesis (TIAN et al. 2013; SOUKUP et al. 2016; KONONENKO et al. 2017; HERNANDEZ-DIAZ et al. 2022), prompted us to investigate whether autophagy has any role in mediating the synaptic overgrowth in the endocytic mutants. To test this, first we examined autophagy status in Drosophila AP2 mutants by assessing Atg8a levels at the NMJ using an Atg8a-GFP reporter (LOW et al. 2013; MAUVEZIN et al. 2014). We observed a reduction in Atg8a-GFP levels in AP2 mutant neurons, suggesting that autophagy might be compromised in these mutants (Figure S2). To further assess autophagic flux, we employed the tandem-tagged GFP-mCherry-Atg8a reporter, a well-established marker for assessing autophagic flux in vivo (Figure S3A) (DEVORKIN AND GORSKI 2014). Consistently, we found decreased fluorescence of both GFP and mCherry signals in AP2 mutants (Figure S3B-H). Similar results were obtained in synj1 mutants (Figure S3E-H), indicating that although autophagic flux per se may not be severely impaired, autophagosome formation is likely compromised in endocytic mutants, leading to reduced autophagy. Next, to determine whether defective autophagy contributes to the synaptic overgrowth phenotype, we genetically manipulated autophagy in AP2 and synj1 mutant backgrounds by either overexpressing Atg1 or reducing its dosage (atg1Δ3D/+) (SHEN AND GANETZKY 2009). Neither manipulation suppressed the NMJ overgrowth phenotype (Figure S4), indicating that while endocytic defects perturb autophagy, this alone does not account for the observed synaptic overgrowth. These findings suggest that autophagy disruption is not the primary cause of synaptic phenotypes in the endocytic mutants.

Hiw/Phr1 Puncta in Endocytic Mutants are Liquid-Liquid Phase-Separated Condensates

Given that compromised endocytosis led to the accumulation of Hiw/Phr1 in large cytoplasmic puncta, we hypothesized that Hiw may possess intrinsic biophysical features that enable phase separation, and that these assemblies might correspond to biomolecular condensates rather than aggregates. To test this, we performed a comparative in silico analysis using PLAAC (LANCASTER et al. 2014), IUPred2A, and ANCHOR2 (MESZAROS et al. 2018), with Ataxin-2 (Atx2) and GFP serving as positive and negative controls, respectively (BAKTHAVACHALU et al. 2018) (Figure 2A-B). As expected, GFP exhibited minimal disorder or binding propensity (IUPred2A/ANCHOR2 scores < 0.4 throughout) and a negative log-likelihood ratio (LLR = –9.614) in PLAAC, suggesting a low propensity for condensation. In contrast, Atx2 showed widespread highly disordered regions, with both IUPred2A and ANCHOR2 scores exceeding the threshold across most of the sequence. PLAAC analysis of Atx2 yielded a strong LLR score of 45.352, in line with its known role in RNP granule formation and stress-induced phase separation (BECKER et al. 2017; BAKTHAVACHALU et al. 2018).

Compromised endocytosis causes Hiw to accumulate in large assemblies within the neuronal cell body

(A) Schematic representation of the third instar larval ventral nerve cord (VNC). The magnified view represents accumulation and possible mislocalization of the Hiw assemblies in the neuronal cell bodies of endocytic mutants. (B-G’’) Confocal images of the neuronal cell body in third instar larval VNC co-labeled for GFP-Hiw (green) and Elav (magenta) in GFP control (Elav-Gal4>UAS-GFP) (B-B’’), Elav-Gal4>UAS-GFP-Hiw (C-C’’), Elav-Gal4>UAS-GFP; AP2σ-KG02457/AP2σang7 (D-D’’), Elav-Gal4>UAS-GFP-Hiw; AP2σ-KG02457/AP2σang7 (E-E’’), Elav-Gal4>UAS-GFP-Hiw; UAS-AP2σ, AP2σ-KG02457/AP2σang7 (F-F’’), and Elav-Gal4>UAS-GFP-Hiw; synj11/2(G-G’’). The scale bar in G’’ represents 5 µm. (H) Histogram showing the average intensity of GFP-Hiw in third instar larval VNC in GFP control (Elav-Gal4>UAS-GFP) (1.07 ± 0.03), Elav-Gal4>UAS-GFP-Hiw (0.95 ± 0.08), Elav-Gal4>UAS-GFP; AP2σ-KG02457/AP2σang7(1.10 ± 0.04), Elav-Gal4>UAS-GFP-Hiw; AP2σ-KG02457/AP2σang7 (2.52 ± 0.10), Elav-Gal4>UAS-GFP-Hiw; UAS-AP2σ, AP2σ-KG02457/AP2σang7 (0.97 ± 0.07), and Elav-Gal4>UAS-GFP-Hiw; synj11/2 (1.94 ± 0.13). At least 10 VNCs of each genotype were used for the quantifications. (I) Histogram showing the average intensity of GFP-Hiw in individual neuronal cell body in GFP control (Elav-Gal4>UAS-GFP) (1.65 ± 0.08), Elav-Gal4>UAS-GFP-Hiw (0.45 ± 0.02), Elav-Gal4>UAS-GFP; AP2σ-KG02457/AP2σang7 (1.53 ± 0.11), Elav-Gal4>UAS-GFP-Hiw; AP2σ-KG02457/AP2σang7 (1.13 ± 0.04), Elav-Gal4>UAS-GFP-Hiw; UAS-AP2σ, AP2σ-KG02457/AP2σang7 (0.62 ± 0.02), and Elav-Gal4>UAS-GFP-Hiw; synj11/2 (1.15 ± 0.09). At least 10 VNCs of each genotype were used for the quantifications. (J) Histogram showing the number of GFP-Hiw puncta in GFP control (Elav-Gal4>UAS-GFP) (7.00 ± 1.48), Elav-Gal4>UAS-GFP-Hiw (806.6 ± 35.31), Elav-Gal4>UAS-GFP; AP2σ-KG02457/AP2σang7 (8.500 ± 1.37), Elav-Gal4>UAS-GFP-Hiw; AP2σ-KG02457/AP2σang7 (159.3 ± 16.52), Elav-Gal4>UAS-GFP-Hiw; UAS-AP2σ, AP2σ-KG02457/AP2σang7 (851.9 ± 28.73), and Elav-Gal4>UAS-GFP-Hiw; synj11/2 (150.9 ± 7.66). At least 10 VNCs of each genotype were used for the quantifications. (K) Histogram showing the size of GFP-Hiw puncta in GFP control (Elav-Gal4>UAS-GFP) (0.01 ± 0.002), Elav-Gal4>UAS-GFP-Hiw (0.06 ± 0.01), Elav-Gal4>UAS-GFP; AP2σ-KG02457/AP2σang7 (0.01 ± 0.001), Elav-Gal4>UAS-GFP-Hiw; AP2σ-KG02457/AP2σang7 (0.20 ± 0.01), Elav-Gal4>UAS-GFP-Hiw; UAS-AP2σ, AP2σ-KG02457/AP2σang7 (0.11 ± 0.01), and Elav-Gal4>UAS-GFP-Hiw; synj11/2(0.21 ± 0.004). At least 10 VNCs of each genotype were used for the quantifications. The error bar in H, I, J, and K represents the standard error of the mean (SEM); the statistical analysis was done using one-way ANOVA followed by post hoc Tukey’s test. ***p<0.001, ns: not significant. (L) Western blot showing the level of GFP-Hiw in control (Elav-Gal4>UAS-GFP-Hiw), Elav-Gal4>UAS-GFP-Hiw; AP2σ-KG02457/AP2σang7, Elav-Gal4>UAS-GFP-Hiw; UAS-AP2σ, AP2σ-KG02457/AP2σang7, and Elav-Gal4>UAS-GFP-Hiw; synj11/2. Ran was used as a loading control. (M) Histogram showing the level of GFP-Hiw in control (Elav-Gal4>UAS-GFP-Hiw) (1.0 ± 0.00), Elav-Gal4>UAS-GFP-Hiw; AP2σ-KG02457/AP2σang7(1.73 ± 0.06), Elav-Gal4>UAS-GFP-Hiw; UAS-AP2σ, AP2σ-KG02457/AP2σang7 (1.02 ± 0.12), and Elav-Gal4>UAS-GFP-Hiw; synj11/2 (1.53 ± 0.02). Three independent Western blots were used for quantification. The error bar represents the standard error of the mean (SEM); the statistical analysis was done using one-way ANOVA followed by post hoc Tukey’s test. ***p<0.001; **p<0.01.

Highwire assembles as dynamic condensates in endocytic mutants

(A-C) The PLAAC scores of GFP, Atx2, and Hiw. The PLAAC scores represent the ability of a protein segment to form aggregates or LLPS (LANCASTER et al. 2014). The plots represent predicted intrinsically disordered regions in a protein. The red line denotes the likelihood of a protein segment being disordered. The blue line denotes the probability of a given position in a protein being a part of a disordered binding region. (D) The domain organization of Hiw protein. It contains an N-terminal RCC1-like domain (RLD), two (PAM-Hiw-RPM-1) PHR domains, followed by (Rae1-binding domain) RBD and (Fsn-1 binding domain) FBD1, and a C-terminal (RING H2 ubiquitin-ligase domain) RING domain. (E-L’’) Confocal images of the neuronal cell body co-labelled for GFP-Hiw (green) and Elav (magenta) in control (Elav-Gal4>UAS-GFP-Hiw) and Elav-Gal4>UAS-GFP-Hiw; AP2σ-KG02457/AP2σang7 treated with 0% 1,6-HD (E-F’’), 1% 1,6-HD (G-H’’), 5% 1,6-HD (I-J’’), and 10% 1,6-HD (K-L’’) containing Schneider’s media for 2 mins. The 0% contains only media. The scale bar in L’’ represents 5 µm for images E-L’’. (M-O’’) Confocal images of the neuronal cell body co-labelled for GFP-Hiw (green) and Elav (magenta) in Elav-Gal4>UAS-GFP-Hiw; AP2σ-KG02457/AP2σang7 treated with 1% 2,5-HD (M-M’’), 5% 2,5-HD (N-N’’), and 10% 2,5-HD (O-O’’) containing Schneider’s media for 2 mins. The scale bar in O’’ represents 5 µm for images M-O’’. (P) Line graph showing the average size of the GFP-Hiw punctae in control (Elav-Gal4>UAS-GFP-Hiw) (black line) and Elav-Gal4>UAS-GFP-Hiw; AP2σKG02457/AP2σang7 treated with 0%, 1%, 5% and 10% 1,6-HD (blue line), and Elav-Gal4>UAS-GFP-Hiw; AP2σKG02457/AP2σang7 treated with 1%, 5% and 10% 2,5-HD (orange line). (Q-R’’) Confocal images of the neuronal cell body co-labelled for GFP-Hiw (green) and Elav (magenta) in Elav-Gal4>UAS-GFP-Hiw; AP2σ-KG02457/AP2σang7 treated with 5% 1,6-HD for 2 min and allowed to recover for 2 hrs after removal of 1,6-HD in S2 Schneider’s media. The scale bar in R’’ represents 5 µm. (S) Histogram showing the size (in µm) of GFP-Hiw puncta in Elav-Gal4>UAS-GFP-Hiw; AP2σ-KG02457/AP2σang7 treated with 5% 1,6-HD for 2 min (0.076 ± 0.005), and Elav-Gal4>UAS-GFP-Hiw; AP2σ-KG02457/AP2σang7 after recovery for 2 hrs (0.133 ± 0.003). At least 8 VNCs of each genotype were used for the quantifications. The error bar represents the standard error of the mean (SEM); the statistical analysis was done using Student’s t-test. ***p<0.001.

Remarkably, Hiw displayed intermediate but significant aggregation potential. PLAAC analysis identified several Q/N-rich prion-like regions, with an LLR of 14.279, suggesting bona fide prion-like content. IUPred2A and ANCHOR2 predictions showed distinct stretches of high disorder and disordered binding potential, notably within the N-terminal RCC1-like region (residues ∼200–400), a central segment (∼900–1050), and an extended region between residues 3000–3700 (Figure 2C-D). Compared to Atx2, Hiw harbors fewer but sharper peaks of disorder and interaction propensity, suggesting a modular architecture capable of regulated condensate formation.

To investigate the nature of Hiw puncta in AP2 mutants, we examined colocalization with endosomal and stress granule markers. Hiw puncta did not colocalize with markers of early (Rab5), late (Rab7), or recycling (Rab11) endosomes (Figure S5A–F’’), nor with Caprin-positive stress granules (Figure S5G–H’’), excluding classical vesicular or stress granule identities. Hence, we next tested whether Hiw puntae were phase-separated condensates or stable aggregates. Treatment with 1,6-hexanediol, which disrupts weak hydrophobic interactions in liquid-like assemblies (KROSCHWALD et al. 2017), caused a rapid, concentration-dependent dissolution of GFP-Hiw puncta (Figure 2E–L and 2P). In contrast, treatment with 2,5-hexanediol, a similar aliphatic alcohol (NAIR et al. 2019), did not dissolve the Hiw/Phr1 punctae, strongly supporting that Hiw/Phr1 punctae were LLPS condensates (Figure 2M-P). Importantly, this effect was reversible, as washing out 1,6-HD and incubating the brains in Schneider’s media for 2 hrs restored the condensates, indicating that these phase-separated Hiw/Phr1 structures are maintained by dynamic, reversible molecular interactions (Figure 2Q-S). Together these data support that the observed Hiw/Phr1 punctate structures are maintained by weak, reversible interactions characteristic of biomolecular condensates rather than insoluble aggregates.

To further distinguish whether the Hiw accumulation in the cell body reflected an endosomal trafficking or the autophagy-dependent degradation defect, we examined Hiw distribution in pharmacologically induced (using Bafilomycin A1 or Chloroquine) or genetically (atg1Δ3D) autophagy-deficient animals (SCOTT et al. 2004). We found that although overall GFP-Hiw fluorescence increased in autophagy-deficient animals, large cytoplasmic puncta were not observed (Figure S6), indicating that endosomal trafficking disruption and not degradation is likely responsible for Hiw phase separation in endocytic mutants.

Together, these results support that: a) the puncta observed in the endocytic mutants represent dynamic, reversible phase-separated condensates; and b) the Hiw condensate formation is independent of autophagy.

Acute Endocytic Block Triggers Phase-separated Hiw/Phr1 Assemblies

We next asked whether acute inhibition of endocytosis was sufficient to drive Hiw/Phr1 condensation. In order to test this, we examined temperature-sensitive Shibire (shits) mutants, which harbor mutations in dynamin that cause a reversible endocytosis block at restrictive temperature (KOSAKA AND IKEDA 1983). Upon shifting the shits mutant larvae to restrictive conditions, we observed rapid appearance of Hiw puncta within the neuronal cell body (Figure 3B-H’). These assemblies resembled those seen in σ2-adaptin (AP2) or synj1 mutants and were absent under permissive conditions (Figure 3A-G’), suggesting that Hiw/Phr1 assemblies arise due to endocytic blockade rather than developmental effects.

Acute inhibition of endocytosis triggers Hiw/Phr1 condensate formation

(A-I’) Confocal images of the neuronal cell body co-labelled for GFP-Hiw (green) and Elav (magenta) in control (Elav-Gal4>UAS-GFP-Hiw) (A-C’), Elav-Gal4>UAS-GFP-Hiw; shits1 (D-F’), and Elav-Gal4>UAS-GFP-Hiw; shits2 (G-I’). The scale bar in I’ represents 5 µm. (J) Histogram showing the average size of GFP-Hiw puncta in control, Elav-Gal4>UAS-GFP-Hiw; shits1, and Elav-Gal4>UAS-GFP-Hiw; shits2 at permissive (20 °C) and restrictive temperatures (29 °C). At least 8 VNCs of each genotype were used for the quantifications. (K-P’) Confocal images of the neuronal cell body co-labelled for GFP-Hiw (green) and Elav (magenta) in Elav-Gal4>UAS-GFP-Hiw, and Elav-Gal4>UAS-GFP-Hiw; AP2σ-KG02457/AP2σang7 treated with 5% 2,5-HD and 1,6-HD for 2 min. The scale bar in P’ represents 5 µm. (Q) Histogram showing the average size of GFP-Hiw puncta in untreated, 5% 2,5-HD, and 5% 1,6-HD treated control, Elav-Gal4>UAS-GFP-Hiw; shits1. At least 8 VNCs of each genotype were used for the quantifications.

We next asked whether Hiw/Phr1 assemblies formed due to an acute endocytic block exhibit liquid-like behaviour. Interestingly, the Hiw/Phr1 puncta induced by acute endocytic blockade dissolved with a temperature shift from restrictive to permissive (Figure 3C-I’ and 3J). Moreover, the punctae induced at restrictive temperature were sensitive to 1,6-HD but not to 2,5-HD, supporting that the observed Hiw/Phr1 punctae are biomolecular condensates (Figure 3K-Q). Together, these results confirm that endocytic impairments sequester Hiw/Phr1 into LLPS-like condensates.

Wnd/DLK Upregulation Drives the Synaptic Overgrowth in Endocytic Mutants

To determine whether the phase-separated Hiw retains its ability to restrain synaptic growth, we analyzed synaptic defects in GFP-Hiw expressing AP2 mutant and assessed its ability to suppress the overgrowth phenotype. We found that GFP-Hiw failed to suppress the synaptic overgrowth (Figure S7), indicating that the phase-separated Hiw is non-functional and fails to promote degradation of its targets, Wnd and possibly Medea, thereby activating the downstream MAPK and BMP pathways.

Consistent with this, AP2 mutants showed elevated Wnd levels, which were restored to control upon neuronal expression of a wild-type AP2 transgene (Figure 4A-G). Similarly, synj1 mutants displayed both Hiw accumulation and increased Wnd level in neuros (Figure 4F-G). Reducing Wnd dosage in either AP2 or synj1 mutants significantly suppressed synaptic overgrowth, restoring both bouton number and size toward control values (Figure 4H-P), indicating that Wnd upregulation is a major downstream effector of the synaptic defects in endocytic mutants. These data indicate that an impaired endocytic pathway compromises Hiw function, leading to elevated Wnd and driving synaptic overgrowth.

Endocytosis restricts synaptic growth via MAP3K/Wnd signaling

(A-F’’) Confocal images of third instar larval ventral nerve cord co-labelled for Wnd (magenta) and NC82 (green) in control (A-A’’), Elav-Gal4>UAS-GFP-Hiw (B-B’’), AP2σ-KG02457/AP2σang7(C-C’’), Elav-Gal4>UAS-AP2σ, AP2σ-KG02457/AP2σang7(D-D’’), Elav-Gal4>UAS-GFP-Hiw; AP2σ-KG02457/AP2σang7 (E-E’’), and (F-F’’) Elav-Gal4>UAS-GFP-Hiw; synj11/2. The scale bar in F’’ represents 20 µm. (G) Histogram showing the average fluorescence intensity of Wnd in control (0.76 ± 0.04), Elav-Gal4>UAS-GFP-Hiw (0.51 ± 0.01), AP2σ-KG02457/AP2σang7(1.46 ± 0.05), Elav-Gal4>UAS-AP2σ, AP2σ-KG02457/AP2σang7 (0.70 ± 0.05), Elav-Gal4>UAS-GFP-Hiw; AP2σ-KG02457/AP2σang7 (1.42 ± 0.04), and Elav-Gal4>UAS-GFP-Hiw; synj11/2 (1.14 ± 0.04). At least 8 VNCs of each genotype were used for the quantification. The error bar represents the standard error of the mean (SEM); the statistical analysis was done using one-way ANOVA followed by post hoc Tukey’s test. **p<0.01, ***p<0.001; ns, not significant. (H-N’’) Confocal images of muscle 6/7 NMJ at A2 hemisegment showing synaptic growth in control (H-H’’), wnd2/3 (I-I’’), AP2σ-KG02457/AP2σang7 (J-J’’), Elav-Gal4>UAS-AP2σ, AP2σ-KG02457/AP2σang7(K-K’’), synj11/2 (L-L’’), wnd2/3, AP2σ-KG02457/AP2σang7(M-M’’), and synj11/2; wnd2/3 (N-N’’) immunolabeled for CSP (magenta) and HRP (green). The scale bar in N’’ represents 10 µm. (O) Histogram showing average bouton number from muscle 6/7 NMJ at A2 hemisegment for control (1.53 ± 0.07), wnd2/3 (0.88 ± 0.04), AP2σ-KG02457/AP2σang7 (2.31 ± 0.13), Elav-Gal4>UAS-AP2σ, AP2σ-KG02457/AP2σang7 (1.68 ± 0.14), synj11/2 (2.46 ± 0.20), wnd2/3, AP2σ-KG02457/AP2σang7(1.76 ± 0.13) and synj11/2; wnd2/3 (2.15 ± 0.21). At least 8 NMJs of each genotype were used for the quantifications. (P) Histogram showing the average bouton area from muscle 6/7 NMJ at A2 hemisegment for control (6.56 ± 0.39), wnd2/3 (10.6 ± 0.59), AP2σ-KG02457/AP2σang7 (1.16 ± 0.17), Elav-Gal4>UAS-AP2σ, AP2σ-KG02457/AP2σang7 (5.83 ± 0.23), synj11/2 (1.31 ± 0.12), wnd2/3, AP2σ-KG02457/AP2σang7(4.39 ± 0.47) and synj11/2; wnd2/3 (3.73 ± 0.28). At least 8 NMJs of each genotype were used for the quantifications. The error bar in O and P represents the standard error of the mean (SEM); the statistical analysis was done using one-way ANOVA followed by post hoc Tukey’s test. ***p<0.001; **p<0.01; *p<0.05.

Endocytosis Restricts JNK Signaling in Drosophila Neurons

We next asked whether impaired Hiw function in endocytic mutants leads to activation of downstream Wnd/DLK signaling, a known regulator of synaptic growth through the JNK pathway in Drosophila (WAN et al. 2000; COLLINS et al. 2006). To monitor JNK signaling, we used the puckered (puc)-lacZ transcriptional reporter (Figure 5A) (MARTÍN-BLANCO et al. 1998; AGNES et al. 1999; ZHU et al. 2019). Both AP2 mutants (Figure 5B–G) and synj1 mutants showed significantly elevated puc-lacZ expression in the VNC (Figure 5E–G), indicating upregulation of JNK signaling in these endocytic mutants. This observation was further supported by a TRE-DsRed reporter, a synthetic construct that directly reports AP1/JNK activity (Figure 5A) (CHATTERJEE AND BOHMANN 2012). Consistent with a direct upregulation of JNK signaling, TRE-DsRed expression was robustly elevated in both AP2 and synj1 mutants (Figure 5H–M). Together, these results suggest that JNK signaling is upregulated in endocytic mutants and may contribute to synaptic overgrowth.

Endocytosis restricts hyperactivation of JNK signaling

(A) Schematic illustration of the JNK signaling pathway in Drosophila. Autophagy selectively degrades Hiw, leading to elevated levels of MAP3K Wallenda, eventually resulting in Fos and Jun (AP-1) phosphorylation. Phosphorylation of AP-1 results in activation of JNK signaling. TRE-DsRed (TRE is a synthetic promoter containing AP-1 binding sites) and puc-LacZ (puckered is a target gene of JNK signaling) were used as reporters to analyze the activation of the JNK signaling pathway. (B-E’’) Confocal images of third instar larval ventral nerve cord co-labelled for β-Gal (magenta) and Elav (green) in control (puc-LacZ/+) (B-B’’), puc-LacZ, AP2σ-KG02457/AP2σang7(C-C’’), Elav-Gal4>UAS-AP2σ; puc-LacZ; AP2σ-KG02457/AP2σang7, (D-D’’) and synj11/2; puc-LacZ/+ (E-E’’). The scale bar in E’’ represents 20 µm. (F) Histogram showing the β-Gal levels in the third instar larval ventral nerve cord in control (puc-LacZ/+) (0.59 ± 0.02), puc-LacZ, AP2σ-KG02457/AP2σang7 (1.24 ± 0.06), Elav-Gal4>UAS-AP2σ; puc-LacZ; AP2σ-KG02457/AP2σang7 (0.48 ± 0.02), and synj11/2; puc-LacZ/+ (1.43 ± 0.07). At least 9 VNCs of each genotype were used for the quantification. (G) Histogram showing the β-Gal levels in the individual neuronal nuclei in control (puc-LacZ/+) (0.99 ± 0.09), puc-LacZ, AP2σ-KG02457/AP2σang7 (5.92 ± 0.37), Elav-Gal4>UAS-AP2σ; puc-LacZ; AP2σ-KG02457/AP2σang7 (1.14 ± 0.16), and synj11/2; puc-LacZ/+ (5.69 ± 0.36). At least 27 nuclei of each genotype were used for the quantification. The error bar in G and H represents the standard error of the mean (SEM); the statistical analysis was done using one-way ANOVA followed by post hoc Tukey’s test. ***p<0.001; ns: not significant. (H-K’’) Confocal images of third instar larval ventral nerve cord co-labelled for TRE-DsRed (magenta) and Elav (green) in control (TRE-DsRed/+), TRE-DsRed/+; AP2σ-KG02457/AP2σang7 (H-H’’), Elav-Gal4> UAS-AP2σ; TRE-DsRed/+; AP2σ-KG02457/AP2σang7 (I-I’’), and TRE-DsRed/+, synj11/2 (K-K’’). The scale bar in K’’ represents 20 µm. (L) Histogram showing the TRE-DsRed levels in the third instar larval ventral nerve cord in control (TRE-DsRed/+) (1.09 ± 0.08), TRE-DsRed/+; AP2σ-KG02457/AP2σang7(2.17 ± 0.18), Elav-Gal4> UAS-AP2σ; TRE-DsRed/+; AP2σ-KG02457/AP2σang7 (0.98 ± 0.08), and TRE-DsRed/+, synj11/2 (1.80 ± 0.21). At least 9 VNCs of each genotype were used for the quantification. (M) Histogram showing the TRE-DsRed levels in individual neuronal nuclei in control (TRE-DsRed/+) (2.19 ± 0.18), TRE-DsRed/+; AP2σ-KG02457/AP2σang7(3.56 ± 0.43), Elav-Gal4> UAS-AP2σ; TRE-DsRed/+; AP2σ-KG02457/AP2σang7 (1.18 ± 0.13), and TRE-DsRed, synj11/2(3.34 ± 0.26). At least 47 nuclei of each genotype were used for the quantification. The error bar represents the standard error of the mean (SEM); the statistical analysis was done using one-way ANOVA followed by post hoc Tukey’s test. ***p<0.001; *p<0.05; ns, not significant.

To directly test whether elevated JNK signaling drives synaptic overgrowth, we suppressed this pathway by expressing a dominant-negative form of JNK (bskDN) or its downstream transcription factor fosDN(kayDN) in AP2 mutant neurons. These genetic manipulations significantly suppressed synaptic overgrowth in the endocytic mutants (Figure 6A–F, I–J), supporting a causal role for JNK signaling in restricting synaptic growth.

Elevated BMP and JNK signaling together promote synaptic overgrowth in endocytic mutants

(A-H’’) Confocal images of muscle 6/7 NMJ at A2 hemisegment showing synaptic growth in control (A-A’’), AP2σ-KG02457/AP2σang7 (B-B’’), Elav-Gal4>UAS-AP2σ, AP2σ-KG02457/AP2σang7(C-C’’), Elav>UAS-kayDN (D-D’’), Elav-Gal4>UAS-bskDN; AP2σ-KG02457/AP2σang7 (E-E’’), Elav-Gal4>UAS-kayDN; AP2σ-KG02457/AP2σang7 (F-F’’), tkv7/+; AP2σ-KG02457/AP2σang7 (G-G’’), Elav-Gal4>UAS-kayDN,tkv7; AP2σ-KG02457/AP2σang7 (H-H’’) immunolabeled for synaptic vesicle marker CSP (magenta) and neuronal membrane marker HRP (green). The scale bar in H’’ represents 10 µm. (I) Histogram showing average bouton number from muscle 6/7 NMJ at A2 hemisegment in in control (w1118) (1.25 ± 0.10), AP2σ-KG02457/AP2σang7 (4.0 ± 0.37), Elav-Gal4>UAS-AP2σ, AP2σ-KG02457/AP2σang7 (1.61 ± 0.34), Elav>UAS-kayDN (0.98 ± 0.06), Elav-Gal4>UAS-bskDN; AP2σ-KG02457/AP2σang7 (2.62 ± 1.83), Elav-Gal4>UAS-kayDN; AP2σ-KG02457/AP2σang7 (2.21 ± 0.21), tkv7/+; AP2σ-KG02457/AP2σang7 (2.26 ± 0.10), Elav-Gal4>UAS-kayDN,tkv7; AP2σ-KG02457/AP2σang7(1.88 ± 0.25). At least 9 NMJs of each genotype were used for the quantifications. The error bar represents the standard error of the mean (SEM); the statistical analysis was done using one-way ANOVA followed by post hoc Tukey’s test. ***p<0.001; **p<0.01; ns, not significant. (J) Histogram showing the average bouton area from muscle 6/7 NMJ at A2 hemisegment for control (8.75 ± 0.45), AP2σ-KG02457/AP2σang7 (1.50 ± 0.18), Elav-Gal4>UAS-AP2σ, AP2σ-KG02457/AP2σang7 (7.81 ± 0.42), Elav>UAS-kayDN (7.70 ± 0.28), Elav-Gal4>UAS-bskDN; AP2σ-KG02457/AP2σang7 (6.80 ± 0.50), Elav-Gal4>UAS-kayDN; AP2σ-KG02457/AP2σang7 (7.78 ± 0.65), tkv7/+; AP2σ-KG02457/AP2σang7(5.48 ± 0.42), Elav-Gal4>UAS-kayDN,tkv7; AP2σ-KG02457/AP2σang7(8.94 ± 0.42). At least 10 NMJs of each genotype were used for the quantifications. The error bar represents the standard error of the mean (SEM); the statistical analysis was done using one-way ANOVA followed by post hoc Tukey’s test. ***p<0.001; *p<0.05; ns, not significant.

However, either bskDN or kayDN is not able to rescue the synaptic overgrowth completely to the control levels. Because endocytosis is also known to attenuate BMP signaling and restrict synaptic growth (WU et al. 2005b; O’CONNOR-GILES et al. 2008; GLEASON et al. 2014; JACOMIN et al. 2015; EHRLICH 2016; GLEASON et al. 2017), we asked whether JNK and BMP pathways function in the same pathway or independently to restrict synapse growth. To dissect their respective contributions, we co-express a dominant-negative form of Kay alongside a loss-of-function allele of Tkv (tkv7/+), a BMP receptor, in AP2 mutants. Strikingly, this combination fully suppressed both the increased bouton number and size, restoring them to the wild-type levels (Figure 6G-J). Together, these findings suggest that JNK and BMP signaling pathways act in parallel to induce synaptic overgrowth when endocytosis is impaired and that simultaneous attenuation of both pathways is necessary and sufficient to normalize synaptic growth.

Loss of Rab11 Promotes Hiw/Phr1 Phase Separation and Activates JNK Pathway Akin to Endocytic Mutants

While phase-separated Hiw accumulates in endocytic mutants, autophagy-deficient mutants show no such cytoplasmic Hiw assemblies despite elevated total Hiw levels (Figure S6E-I). This observation suggests that reduced Hiw degradation alone is not sufficient for condensate formation and that trafficking defects could be a critical determinant of Hiw phase separation in endocytic mutants. Hence, to directly test whether Hiw trafficking involves the endosomal system, we neuronally expressed dominant-negative (DN) forms of the small GTPases Rab5, Rab7, or Rab11, which regulate different steps of endocytosis and recycling. While expression of DN-Rab5 (Rab5S43N) or DN-Rab7 (Rab7T22N) did not affect Hiw localization in neurons, expression of DN-Rab11 (Rab11S25N) resulted in its phase-separation and accumulation within neuronal cell bodies, phenocopying the endocytic mutants (Figure 7A-E).

Loss of Rab11 induces Highwire accumulation and liquid-liquid phase-separation in neuronal cell body

(A-D) Confocal images of the neuronal cell body labelled for GFP-Hiw (green) in control (Elav-Gal4>UAS-GFP-Hiw) (A), Elav-Gal4>UAS-GFP-Hiw; UAS-Rab5DN (B), Elav-Gal4>UAS-GFP-Hiw; UAS-Rab7DN (C), and Elav-Gal4>UAS-GFP-Hiw; UAS-Rab11DN (D). The scale bar in D represents 5 µm. (E) Histogram showing the number of GFP-Hiw puncta in control (Elav-Gal4>UAS-GFP-Hiw) (797 ± 20.1), Elav-Gal4>UAS-GFP-Hiw; UAS-Rab5DN (755 ± 27.4), Elav-Gal4>UAS-GFP-Hiw; UAS-Rab7DN (709 ± 24.8), Elav-Gal4>UAS-GFP-Hiw; UAS-Rab11DN (291 ± 22.5). At least 8 VNCs of each genotype were used for the quantification. The error bar represents the standard error of the mean (SEM); the statistical analysis was done using one-way ANOVA followed by post hoc Tukey’s test. ***p<0.001, ns: not significant (F-G’) Confocal images of the neuronal cell body co-labelled for GFP-Hiw (green) and Elav (magenta) in control (Elav-Gal4>UAS-GFP-Hiw) (F-F’), and Elav-Gal4>UAS-GFP-Hiw; Rab11ex2/93Bi (G-G’). The scale bar in G’ represents 5 µm. (H) Histograms showing the number of GFP-Hiw puncta in the neuronal cell body of control (Elav-Gal4>UAS-GFP-Hiw) (716.1 ± 27.14), and Elav-Gal4>UAS-GFP-Hiw; Rab11ex2/93Bi(160.5 ± 5.49). At least 12 VNCs of each genotype were used for the quantification. The error bar represents the standard error of the mean (SEM); the statistical analysis was done using Student’s t-test. ***p<0.001. (I) Histogram showing the average size of the GFP-Hiw puncta in the neuronal cell body of control (Elav-Gal4>UAS-GFP-Hiw) (0.11 ± 0.01) and Elav-Gal4>UAS-GFP-Hiw; Rab11ex2/93Bi (0.28 ± 0.01). At least 12 VNCs of each genotype were used for the quantification. The error bar represents the standard error of the mean (SEM); the statistical analysis was done using Student’s t-test. ***p<0.001. (J) Western blot showing the level of GFP-Hiw in control (Elav-Gal4>UAS-GFP-Hiw) and Elav-Gal4>UAS-GFP-Hiw; Rab11ex2/93Bi. Ran was used as a loading control. (K) Histogram showing the level of GFP-Hiw in control (Elav-Gal4>UAS-GFP-Hiw) (1.00 ± 0.00) and Elav-Gal4>UAS-GFP-Hiw; Rab11ex2/93Bi (1.67 ± 0.05). Three independent Western blots were used for quantification. The error bar represents the standard error of the mean (SEM); the statistical analysis was done using Student’s t-test. ***p<0.001. (L-N’’) Confocal images of third instar larval ventral nerve cord co-labelled for Wnd (magenta) and NC82 (green) in control (L-L’’), Rab11ex2/93Bi(M-M’’), and AP2σ-KG02457/AP2σang7 (N-N’’). The scale bar in N’’ represents 10 µm. (O) Histogram showing the average fluorescence intensity of Wnd in control (0.55 ± 0.02), Rab11ex2/93Bi (0.84 ± 0.03), and AP2σ-KG02457/AP2σang7 (1.03 ± 0.05). At least 10 VNCs of each genotype were used for the quantification. The error bar represents the standard error of the mean (SEM); the statistical analysis was done using one-way ANOVA followed by post hoc Tukey’s test. ***p<0.001.

Consistent with these findings, Rab11 mutants also displayed both Hiw condensates and elevated levels of Hiw substrate Wnd/DLK (Figure 7F-O and Figure S8). Strikingly, synaptic overgrowth in Rab11 mutants was significantly suppressed by neuronal expression of dominant-negative bskDN or dominant-negative kayDN(Figure 8A-F), suggesting that JNK pathway activation lies downstream to Rab11 activity. These genetic epistatic interactions suggest that the disrupted Rab11-dependent recycling impedes proper localization of Hiw, thereby triggering aberrant JNK signaling and synaptic overgrowth. Given that Rab11-positive recycling endosomes are reduced in both AP2 and synj1 mutants (CHOUDHURY et al. 2022), these findings suggest that Rab11-dependent endosomal recycling normally maintains the proper localization/trafficking of Hiw, and its dysfunction contributes to Hiw phase separation, functional inactivation, and subsequent JNK pathway hyperactivation in endocytic mutants and synaptic overgrowth.

Endocytosis restricts JNK and BMP signaling through Rab11 in a parallel pathway

(A-D’’) Confocal images of muscle 6/7 NMJ showing the synaptic growth in control (A-A’’), Rab11ex2/93Bi (B-B’’), Elav-Gal4>UAS-bskDN; Rab11ex2/93Bi (C-C’’), and Elav-Gal4>UAS-kayDN; Rab11ex2/93Bi (D-D’’) immunolabeled for CSP (magenta) and HRP (green). The scale bar in D’’ represents 10 µm. (E) Histogram showing average bouton number from muscle 6/7 NMJ at A2 hemisegment in control (1.40 ± 0.07), Rab11ex2/93Bi (3.70 ± 0.07), Elav-Gal4>UAS-bskDN; Rab11ex2/93Bi (1.53 ± 0.0) and Elav-Gal4>UAS-kayDN; Rab11ex2/93Bi (1.64 ± 0.117). At least 8 NMJs of each genotype were used for the quantifications. The error bar represents the standard error of the mean (SEM); the statistical analysis was done using one-way ANOVA followed by post hoc Tukey’s test. ***p<0.001; **p<0.01; *p<0.05 (F) Histogram showing the average bouton area from muscle 6/7 NMJ at A2 hemisegment in control (5.87 ± 0.87), Rab11ex2/93Bi (2.02 ± 0.19), Elav-Gal4>UAS-bskDN; Rab11ex2/93Bi (7.33 ± 0.88), and Elav-Gal4>UAS-kayDN; Rab11ex2/93Bi (6.91 ± 0.21). At least 8 NMJs of each genotype were used for the quantifications. The error bar represents the standard error of the mean (SEM); the statistical analysis was done using one-way ANOVA followed by post hoc Tukey’s test. **p<0.01; ns, not significant. (G) A proposed model for the regulation of synaptic growth signaling. Endocytosis regulates Rab11-positive recycling endosomes, which in turn modulate three partially independent pathways to attenuate synaptic growth. First, Rab11 regulates endosomal trafficking of Hiw; when trafficking is impaired, Hiw undergoes phase separation into large non-functional assemblies, which hyperactivates JNK signaling. Second, reduced Rab11 compromises autophagosome formation and autophagy, leading to elevated Hiw levels, which accumulate as phase-separated condensates in the endocytic mutants. Third, Rab11 regulates BMP receptor trafficking, and its reduction leads to increased pMad levels. These pathways suggest that endocytosis restricts synaptic growth by restraining BMP and JNK signaling in a parallel pathway mediated by Rab11-dependent endosomal trafficking, with Hiw phase separation as a key regulatory mechanism.

Discussion

Endocytosis is increasingly recognized as a key modulator of neuronal signalling beyond its canonical roles in vesicle recycling (COSKER AND SEGAL 2014). Here, we identify a previously unrecognized function of endocytic trafficking in constraining synaptic growth by preventing aberrant phase separation of E3 ubiquitin ligase Highwire. When endocytic recycling is compromised, Hiw trafficking is disrupted, leading to its liquid-liquid phase separation and functional inactivation. This loss in Hiw activity causes Wnd/DLK upregulation and JNK hyperactivation, resulting in synaptic overgrowth independent of autophagic dysfunction. Moreover, we identify Rab11-dependent recycling as a critical mediator of Hiw trafficking, which prevents Hiw mislocalization and phase separation.

A Role for Endocytosis in Regulating Synaptic Stability by Modulating Hiw/Phr1 Function

Prior studies proposed that synaptic overgrowth observed in autophagy mutants arises from reduced Hiw turnover (SHEN AND GANETZKY 2009). However, paradoxically, AP2 and synj1 mutants exhibit Hiw accumulation as puncta in the neuronal cell bodies, aberrantly elevated JNK signaling, and synaptic overgrowth, phenotypes that are consistent with reduced Hiw/Phr1 function.

Our data reveal that endocytic proteins serve a broader role beyond synaptic vesicle recycling. Endocytosis ensures proper trafficking and spatial availability of regulatory proteins such as Hiw/Phr1. We provide several lines of evidence to support this conclusion: a) acute disruption of CME via temperature-sensitive paralytic mutant shibirets causes Hiw mislocalization and puncta formation; b) loss of recycling endosomal GTPase Rab11 phenocopies these defects, directly implementing endosomal recycling in Hiw regulation; and c) the puncta represent non-vesicular liquid-liquid phase-separated condensates, rather than degradation intermediates, indicating that Hiw is sequestered rather than degraded under endocytic/trafficking block. Thus, endocytosis positions Hiw near its neuronal substrates by protecting it from aberrant sequestration, a mechanism consistent with broader observations that disruption of membrane trafficking can mislocalize critical signaling molecules in neurons (LEITCH et al. 2014). Since neuronal morphology and function depend on spatially restricted signaling, CME likely contributes to synaptic stability by protecting key regulatory complexes, such as Hiw/Phr1, from phase separation-driven spatial miscompartmentalization.

These findings place Hiw/Phr1 within a growing class of neuronal proteins that undergo biomolecular condensation to regulate synaptic structure and function. For example, post-synaptic scaffolds such as PSD-95 and SynGAP form LLPS condensates to assemble post-synaptic densities and tune synaptic plasticity (ZENG et al. 2016). Similarly, presynaptic scaffolds such as SYD-2/Liprin-α and ELKS undergo LLPS to establish active zones in C. elegans and mammals (MCDONALD et al. 2020). Our data extends LLPS-regulated structural scaffold organization to E3-ubiquitin ligase, showing that phase separation can regulate signaling hubs that control neuronal growth and morphogenesis. Our findings highlight an underappreciated layer of regulation where membrane trafficking intersects with LLPS to spatially gate enzymatic activity to regulate neuronal signaling.

Autophagy-Endocytosis Crosstalk Regulates Highwire Compartmentalization and Synaptic Homeostasis

While autophagy facilitates the turnover of synaptic signaling proteins (SHEN AND GANETZKY 2009; HOFFMANN-CONAWAY et al. 2020), endocytosis controls autophagic flux by regulating membrane supply and the trafficking of autophagy-related proteins (BIRGISDOTTIR AND JOHANSEN 2020; ANDRES-ALONSO et al. 2021). Endosomes are a primary membrane source for autophagosome formation (RAVIKUMAR et al. 2010; PURI et al. 2013; BIRGISDOTTIR AND JOHANSEN 2020), linking autophagic processes to endocytic flux. Endocytic proteins such as AP2 and Synj1 also modulate autophagy through endocytosis-independent mechanisms, particularly at the synaptic terminals (VANHAUWAERT et al. 2017; BERA et al. 2020). Thus, autophagy defects in endocytic mutants may arise from defective membrane supply and direct regulatory functions of endocytic proteins on autophagic machinery. Our analysis reveals that endocytosis and endosomal trafficking, but not autophagy, are essential to prevent aberrant phase separation of Hiw into large puncta within neuronal cell bodies. These condensates, solubilized by 1,6-hexanediol (KROSCHWALD et al. 2017) (Figure 2E-S), are not part of the endosomes or stress granules and are absent in autophagy-deficient animals (Figure S5 and Figure S6). In autophagy mutants such as Atg1Δ3D/+, we observed elevated steady-state Hiw levels, consistent with impaired degradation, but no Hiw puncta formation. Similarly, pharmacological inhibition of autophagy increased total Hiw abundance but did not promote condensates. Thus, autophagy determines Hiw abundance, while endocytic trafficking determines its spatial distribution and LLPS behaviour.

Our data that acute disruption of CME in shits mutants was sufficient to trigger rapid Hiw phase separation into large cytoplasmic punctae (Figure 3A-J) further supports the view that endocytosis maintains Hiw in a soluble, spatially accessible pool. Autophagy alone is insufficient to control Hiw/Phr1 distribution. This separation of roles supports a two-tiered control of Hiw/Phr1 regulation: while autophagy limits Hiw/Phr1 levels, endocytosis prevents its aberrant phase separation. While we cannot exclude indirect contributions of autophagy impairments under these conditions, the absence of puncta in autophagy-deficient animals strongly argues that autophagic inhibition alone is insufficient to induce Hiw phase separation. These results reveal that endocytosis maintains synaptic homeostasis by regulating Hiw in a spatially accessible, non-condensed pool. While autophagy controls total Hiw protein levels, only endocytic trafficking prevents its aberrant sequestration into phase-separated assemblies, thereby restricting Hiw-mediated synaptic growth.

Rab11-Dependent Endosomal Recycling: Essential Spatial Control Node for Hiw/Phr1 Trafficking and JNK Signaling

Rab11-positive recycling endosomes serve as dynamic platforms that integrate endocytosis, membrane recycling, and autophagy. They not only contribute to autophagosome biogenesis by supplying membrane and trafficking autophagy-related proteins but also play essential roles in receptor trafficking and synaptic homeostasis (ULLRICH et al. 1996; GREEN et al. 1997; WILCKE et al. 2000; BARTZ et al. 2003; LONGATTI et al. 2012; LONGATTI AND TOOZE 2012; ZULKEFLI et al. 2019). In Drosophila, Rab11 cooperates with Nwk to regulate BMP receptor recycling, actin dynamics, and synaptic growth signaling at the NMJ (RODAL et al. 2008). Similarly, AP2 and Synj1 mutants genetically interact with Rab11 mutants, and Rab11 levels are significantly reduced at the AP2 mutant synapses, implicating endocytic recycling as a key signalling integration node between CME and autophagic flux (CHOUDHURY et al. 2022).

In C. elegans, the E3 ubiquitin ligase RPM-1 regulates synaptic development through interactions with the Rab GTPase GLO-1 and its GEF GLO-4 via late endosomes, suggesting that endosomal pathways help spatially restrict RPM-1 function within neurons (GRILL et al. 2007; OPPERMAN AND GRILL 2014b). While the specific endosomal compartment may differ across species, our findings in Drosophila similarly implicate endosomal trafficking in the localization and function of Hiw, the RPM-1 ortholog. Our data reveal that Rab11-mediated endosomal recycling is an essential trafficking event preventing Hiw condensation.

A recent finding suggest that Rab11 is a critical mediator in the anterograde transport and sorting of Wnd to axon terminals for degradation, and that disruptions of this process lead to Wnd accumulation, excessive stress signaling, and neuronal degeneration (KIM et al. 2024). Our study offers an alternate/additional mechanism for these observations and supports the idea that loss of Rab11 renders Hiw inactive by promoting phase separation, thereby leading to elevated Wnd levels. Together with CME, Rab11-positive endosomes form a trafficking axis that regulates the spatial dynamics and functional availability of Hiw, preventing overactivation of JNK activity and restricting synapse overgrowth. The JNK signaling has long been implicated in regulating synaptic expansion, plasticity, and dendritic architecture across species, from Drosophila to mammals (WU et al. 2005a; ABRAMS et al. 2008; OPPERMAN AND GRILL 2014a). The genetic suppressions of JNK signaling by blocking the components of the JNK pathway or Wnd mutants demonstrate that synaptic overgrowth in endocytic mutants is directly mediated by JNK pathway activation downstream of Wnd (Figures 4 and 6). Notably, combined inhibition of JNK and BMP pathways in endocytic mutants or Rab11 mutants fully restores synaptic morphology, indicating that JNK acts in parallel, not simply downstream, to BMP in restricting synaptic growth, supporting emerging models that growth-promoting pathways integrate in a context-dependent, multi-pathway framework.

We suggest a dual safeguarding model (Figure 8G) in which endocytosis and Rab11-mediated recycling endosomes spatially govern Hiw distribution, preventing its sequestration into phase-separated condensates. Autophagy provides complementary support for Hiw turnover. Together, these mechanisms maintain a critical threshold for Wnd-JNK signaling in neurons and restrict synaptic overgrowth.

Our study adds to a growing consensus that LLPS is not limited to synaptic scaffolds or RNA granules but also controls neuronal signaling hubs. The conservation of Hiw/Phr1-JNK pathway suggests a fundamental cellular logic linking membrane trafficking, biomolecular condensation, and E3-ubiquitin-dependent signaling in the regulation of neuronal growth and plasticity. Beyond developmentally regulated synapse growth, our findings may have implications for axon regeneration, where defects in endocytosis/endosomal trafficking accelerate JNK-driven neuronal loss and synaptic collapse.

Materials and Methods

Fly Stocks

All the flies were grown and maintained at 25°C temperature in a standard cornmeal medium as described previously (CHOUDHURY et al. 2016). w1118 was used as a control unless otherwise mentioned. Both males and females were used for experiments. The AP2σ mutant alleles used were AP2σang7, a hypomorphic allele generated through P-element mobilization of SyndEP877located 2416 bp upstream of Syndapin ORF, and AP2σKG0245, a null allele of AP2σ which has a P-element insertion in the third exon of AP2σ ORF (CHOUDHURY et al. 2016). The following fly stocks were obtained from BDSC: AP2σKG02457 (BL13478), UAS-GFP-mCherry-Atg8a (BL37749), UAS-GFP-Atg8a (BL52005), UAS-GFP-Hiw (BL51639), UAS-AP2β RNAi (BL28328), UAS-Atg1 (BL51654) UAS-bskDN (BL6409), UAS-kayDN (BL7214), synj11 (BL24883), synj12 (BL24884), tkv7(BL3242), wnd2, wnd3 (BL51999) (COLLINS et al. 2006), TRE-DsRed (BL59011), UAS-Rab5S43N (BL42703), UAS-Rab7T22N-YFP (BL9778), and UAS-Rab11S25N-YFP (BL23261). Other lines used in the study are: atg1Δ3D (SCOTT et al. 2004), UAS-AP2α RNAi (GD15566), Rab1193Bi, and Rab11ex2 (KHODOSH et al. 2006), puc-lacZ (RING AND MARTINEZ ARIAS 1993).

The shits1 and shits2 temperature-sensitive mutant fly stocks were maintained at 18°C, and experimental crosses were set up at the permissive temperature of 20°C. Once the progeny reached the wandering third instar larval stage, larvae were shifted to the non-permissive temperature of 29°C for 6 hours to induce acute disruption of dynamin-mediated endocytosis (KOSAKA AND IKEDA 1983; DICKMAN et al. 2006; KROLL et al. 2015).

Immunohistochemistry and Imaging

Third instar wandering larvae were dissected in cold, calcium-free HL3 saline (pH 7.2) containing 70 mM NaCl, 5 mM KCl, 20 mM MgCl2, 10 mM NaHCO3, 5 mM Trehalose, 115 mM sucrose, and 5 mM HEPES and fixed in 4% paraformaldehyde for 30 min. Fillets were washed in PBS containing 0.2 % Triton X-100, blocked for one hour with 5% bovine serum albumin (BSA), and then incubated overnight with the primary antibody at 4°C. The primary antibodies used in the study are mouse anti-CSP (1:50) (DSHB, Iowa city, USA), mouse anti-NC82 (1:100) (DSHB), rat anti-Elav (1:200) (DSHB), mouse anti-β-galactosidase (1:200) (DSHB), rabbit anti-Wallenda (1:100, (COLLINS et al. 2006)), guinea pig anti-Rab5 (1:500) (MOTTOLA et al. 2010) was a gift from Marino Zerial (Max Planck Institute, Germany), rabbit anti-Rab7 (1:500) and rabbit anti-Rab11 (1:500); (TANAKA AND NAKAMURA 2008; WEST et al. 2015) antibodies were a gift from Tsubasa Tanaka (RIKEN Center for Developmental Biology, Japan). Rabbit anti-Caprin (1:200) was a gift from Ophelia Papoulas (University of Texas, (PAPOULAS et al. 2010). The secondary antibodies conjugated to Alexa Fluor 488, Alexa Fluor 568, and Alexa Fluor 633 (Invitrogen, ThermoFisher Scientific, Waltham, MA, USA) were used at a 1:800 dilution. The Alexa Fluor 488 or Rhodamine-conjugated anti-HRP (Jackson ImmunoResearch, Pennsylvania, USA) was used at a 1:800 dilution.

For Wnd staining, larvae were dissected in ice-chilled 1X PBS and fixed in 3.7% formalin on ice for one hour. Larval fillets were blocked with 5% BSA for 1 hour, followed by overnight incubation with primary antibody anti-Wnd and anti-NC82 at 4°C (COLLINS et al. 2006). For GFP-mCherry-Atg8a staining, the larvae were dissected in cold, calcium-free HL3 saline and fixed for 15 minutes at room temperature in 4% PFA in PBS (pH 7.2). Larval fillets were mounted in VECTASHIELD (Vector Laboratories, California, USA), and images were captured with a laser scanning confocal microscope (FV3000, Olympus Corporation, Tokyo, Japan).

Hexanediol treatment

Third instar Drosophila larvae expressing GFP-Hiw were dissected in cold Schneider’s Drosophila Medium (Gibco). Following dissection, preparations were gently washed with fresh Schneider’s medium to remove residual debris. To assess the solubility properties of accumulated Hiw, preparations were incubated for 2 minutes at room temperature in Schneider’s medium containing 1,6-hexanediol (1,6-HD; Sigma-Aldrich, #H6703) or 2,5-HD (Sigma-Aldrich, #H11904) at final concentrations of 0%, 1%, 5%, or 10%. The 0 % condition consisted of Schneider’s medium alone (LIU et al. 2020). Following treatment, samples were immediately fixed in 4% paraformaldehyde in PBS for 30 minutes at room temperature. Fixed tissues were then washed and processed for immunostaining. No antibody amplification was used for GFP. The drug-containing medium was replaced with normal Schneider’s medium for 2h for recovery before fixation.

Western Blotting

Third instar larval Drosophila brains were homogenized in 1× SDS lysis buffer (50 mM Tris-Cl, pH 6.8; 25 mM KCl; 2 mM EDTA; 0.3 M sucrose; 2% SDS). The protein concentration was determined using the bicinchoninic acid (BCA) protein assay. Homogenates were mixed with an equal volume of 2× Laemmli buffer (50 mM Tris-HCl, pH 6.8; 2% SDS; 2% β-mercaptoethanol; 0.1% bromophenol blue; 10% glycerol), and 30 μg of protein was loaded onto a 5% SDS-PAGE gel. Proteins were transferred to a Hybond-LFP PVDF membrane (GE Healthcare, Illinois, USA). Membranes were blocked in 5% skimmed milk in 1× Tris-buffered saline containing 0.2% Tween-20 (0.2% TBST) for 1 hour at room temperature and incubated overnight at 4°C with primary antibody mouse anti-GFP (1:2000) and anti-Ran (1:2000, BD Biosciences, New Jersey, USA). After washing with 0.2% TBST, membranes were incubated with HRP-conjugated secondary antibody for 1 hour at room temperature. Signals were detected using the LI-COR Odyssey imaging system (LI-COR Biosciences, Lincoln, USA).

Bafilomycin A1 and Chloroquine Treatment

To pharmacologically inhibit lysosomal function, third instar Drosophila larvae expressing GFP-Hiw were transferred to standard fly food containing either 200 nM Bafilomycin A1 (Baf) for 6 hours or 2.5 mg/ml Chloroquine (CQ) for 24 hours at 25°C. Stock solutions of both compounds were prepared in DMSO, and larvae fed on DMSO alone were served as controls. After the treatment, larvae were dissected in cold, calcium-free HL3 saline (pH 7.2) and proceeded with the immunocytochemistry protocol (ZIRIN et al. 2013; MAUVEZIN et al. 2015).

Quantifications and Statistical Analysis

NMJ 6/7 from the A2 hemisegment were captured to calculate the bouton number. All the CSP-positive boutons were counted manually in ImageJ/Fiji software (National Institutes of Health, Bethesda, USA). The number of boutons from each NMJ was normalized to the respective muscle area. For muscle area quantification, images from the A2 hemisegment were captured using a 20× objective, and the area was quantified using ImageJ/Fiji software. For bouton area quantification, all terminal type-II boutons from muscle 6/7 at A2 hemisegment were used, and the bouton area was calculated by drawing a free-hand sketch around CSP-positive boutons using ImageJ. NMJs from muscle 4 were captured using a plan apochromat 60×, 1.42 NA objective for fluorescence intensity quantification. All the control and experimental fillets were processed similarly for each NMJ, and the fluorescence images were captured under the same settings for a particular experimental set. The average intensity was normalized to the control intensity. The average fluorescence intensity of GFP was normalized with that of mCherry for the analysis of autophagy flux.

To quantify the GFP-Hiw puncta number and size, z-projections of confocal images of third-instar larval VNCs were captured and stacked. The Gaussian filter was applied to the images and thresholded. The analyzed particle function of ImageJ was used to quantify the number of puncta and their size. For Hiw intensity quantification, the individual VNC of all genotypes was captured with the same parameters, the region of interest (whole VNC) was manually selected, and the integrated density was calculated using ImageJ and divided by the area of the ROI to obtain the average integrated density or the average fluorescence intensity. Similarly, individual neuronal cell bodies were marked using the GFP (UAS-GFP) positive area and added to the ROI manager. Using the ROI area, the intensity of GFP-Hiw and Elav was quantified for each neuronal cell body, averaged, and normalized. The NC82 positive area was marked as ROI, and the mean intensity was measured for Wnd and normalized with the corresponding NC82 intensity. To quantify the puc-LacZ and TRE-DsRed expression, Elav-positive nuclei were marked in the z-stack images of the third instar larval VNCs, and the levels of puc-LacZ and TRE-DsRed were quantified and normalized with the corresponding Elav levels (XIONG et al. 2010). When quantifying the individual neuronal intensity, the corresponding Elav intensity was used for the normalization, and for whole VNC quantification, the overall Elav intensity was used.

The density of Western blot bands was quantified using ImageJ software. For multiple comparisons, one-way ANOVA followed by post hoc Tukey’s or Student’s t-test was used. GraphPad Prism 8 (GraphPad Software Inc., California, USA) was used to plot all the graphs. Error bars in all the histograms represent SEM. *p < 0.05, **p < 0.01, ***p < 0.001, ns; not significant.

Data availability

All data related to this study is contained within the manuscript.

Acknowledgements

We thank Dr. Avital Rodal for sharing rab11 mutants, Dr. Mohit Prasad for sharing the puc-lacZ fly lines, and Dr. Guang-Chao Chen for the atg1 mutant lines. We also thank Dr. Aaron DiAntonio and Dr. Catherine Collins for generously sharing the Wallenda antibody, Dr. Tsubasa Tanaka for Rab7 and Rab11 antibodies, Dr. Marino Zerial for Rab5 antibodies, Dr. Ophelia Papoulas for sharing the Caprin antibody; the BDSC for the fly stocks; DSHB, the University of Iowa for monoclonal antibodies; and Varun Chaudhary, Sunando Datta and Catherine Collins for their helpful comments on this manuscript. We thank the DST-FIST program of the Government of India for providing a confocal microscope to IISER-Bhopal. This work was supported by the Science and Engineering Board (SERB) Project Grant CRG/2021/000599, the Government of India, and by intramural funds from the Indian Institute of Science Education and Research Bhopal to V.K.

Additional files

Supplemental Figures

Additional information

Funding

DST | Science and Engineering Research Board (SERB) (CRG/2021/000599)

  • Vimlesh Kumar