- 1Department of Anatomy and Neurobiology, Medical Sciences Campus, University of Puerto Rico, San Juan, PR, United States
- 2Institute of Neurobiology, Medical Sciences Campus, University of Puerto Rico, San Juan, PR, United States
- 3Molecular Sciences Research Center, University of Puerto Rico, San Juan, PR, United States
From fly to man, the Wingless (Wg)/Wnt signaling molecule is essential for both the stability and plasticity of the nervous system. The Drosophila neuromuscular junction (NMJ) has proven to be a useful system for deciphering the role of Wg in directing activity-dependent synaptic plasticity (ADSP), which, in the motoneuron, has been shown to be dependent on both the canonical and the noncanonical calcium Wg pathways. Here we show that the noncanonical planar cell polarity (PCP) pathway is an essential component of the Wg signaling system controlling plasticity at the motoneuron synapse. We present evidence that disturbing the PCP pathway leads to a perturbation in ADSP. We first show that a PCP-specific allele of disheveled (dsh) affects the de novo synaptic structures produced during ADSP. We then show that the Rho GTPases downstream of Dsh in the PCP pathway are also involved in regulating the morphological changes that take place after repeated stimulation. Finally, we show that Jun kinase is essential for this phenomenon, whereas we found no indication of the involvement of the transcription factor complex AP1 (Jun/Fos). This work shows the involvement of the neuronal PCP signaling pathway in supporting ADSP. Because we find that AP1 mutants can perform ADSP adequately, we hypothesize that, upon Wg activation, the Rho GTPases and Jun kinase are involved locally at the synapse, in instructing cytoskeletal dynamics responsible for the appearance of the morphological changes occurring during ADSP.
Introduction
Synapses are the site of plastic events that shape their morphological and electrophysiological properties depending on their experiences (Shepherd, 2004; Holtmaat and Svoboda, 2009; Ho et al., 2011; Pereda, 2014; Harris and Littleton, 2015). One such plastic event is activity-dependent synaptic plasticity (ADSP), by which the synaptic efficacy can be increased or decreased, reflecting previous excitatory or inhibitory stimuli (Castillo, 2012; Lüscher and Malenka, 2012). This plasticity is thought to be the cellular correlate of learning and memory, and it is essential to improve our understanding of the molecules and molecular signals underlying this phenomenon. The secreted molecule Wg/Wnt regulates ADSP (Budnik and Salinas, 2011; Rosso et al., 2013). Indeed, activity-dependent mechanisms induce Wnt release that, in turn, induces plasticity signaling in hippocampal neurons (Chen et al., 2006; Tabatadze et al., 2014). This increase in Wnt secretion provokes structural alterations in dendritic arborizations (Yu and Malenka, 2003; Wayman et al., 2006; Ferrari et al., 2018) and spines (Ciani et al., 2011; Tabatadze et al., 2014; McLeod et al., 2018), promoting changes in synaptic strength and plasticity. Drosophila served as a model of choice to explore the instrumental role of Wg in directing ADSP (Budnik and Salinas, 2011; Bai and Suzuki, 2020). ADSP can be elicited at the NMJ when the preparation is submitted to a repeated stimulation protocol (Ataman et al., 2008; Piccioli and Littleton, 2014; Vasin et al., 2014, 2019; Maldonado-Díaz et al., 2021), similar to the one used on hippocampal neurons to elicit LTP (Wu et al., 2001). The changes associated with the NMJ experiencing ADSP are both electrophysiological and structural (Ataman et al., 2008; Alicea et al., 2017; Maldonado-Díaz et al., 2021). Live and confocal imaging, electron microscopy and tomography at the NMJ allowed for the observation of these structural changes (Ataman et al., 2008; Vasin et al., 2019). Two types of synaptic modifications appeared very quickly (within 1 h) after repeated stimulation: filipodia-like structures called synaptopods, and newly formed varicosities containing synaptic vesicles but devoid of postsynaptic structures, called ghost boutons (Figure 1A). These ghost boutons develop within 24 h into mature boutons by acquiring presynaptic active zone markers and postsynaptic glutamate receptors. Because they are easily identifiable, ghost boutons are used to assess ADSP. The Wg canonical pathway is essential for this plasticity (Ataman et al., 2008). Repeated stimulation of the NMJ promotes an increase in synaptic Wg that leads to rapid structural and electrophysiological changes (Ataman et al., 2008). In fact, Wg signaling regulates these changes bidirectionally; post-synaptically through nuclear import of its receptor, and pre-synaptically by the inhibition of GSK3ß/Sgg (Ataman et al., 2008). In addition, there is evidence that the calcium pathway is involved in this plasticity. In this pathway, an increase in intracellular calcium activates CaMKII and the transcription factor NFAT (Koles and Budnik, 2012). The neuronal expression of NFAT subunit A at the NMJ prevents the formation of ghost boutons upon stimulation (Freeman et al., 2011). In addition, synaptic CaMKII protein expression increases upon stimulation which correlates with de novo bouton formation (Nesler et al., 2016). However, to date the third pathway that responds to the Wg/Wnt signal, the planar cell polarity (PCP) pathway, has not yet been assessed for its role in regulating ADSP.
Figure 1. Dishevelled and its planar cell polarity domain regulate ADSP. (A) Schematic diagram representing a NMJ labeled with pre-synaptic (red) and post synaptic (green) markers. Upon stimulation, de novo synaptic boutons called “ghost boutons” are identifiable because they only show the pre-synaptic marker HRP. These structures, with time, will acquire post-synaptic differentiation. (B) Representative confocal photograph of an unstimulated control synapse showing HRP (presynaptic marker) and DLG (postsynaptic marker) immunoreactivity. (C) Representative confocal photograph of a stimulated control synapse. Arrowheads point to ghost boutons. (D) Representative confocal photograph of a stimulated synapse expressing dsh RNAi. (E) Schematic diagram illustrating the components of the Wg planar cell polarity pathway. (F–M) Quantification of the ghost bouton number in (F) unstimulated and (G) stimulated control and preparations expressing dsh RNAi constitutively; (H) unstimulated and (I) stimulated control and preparation carrying the suppressed conditional expression system at 18°C; (J) unstimulated and (K) stimulated control and preparation expressing dsh RNAi for 48 h prior to the stimulation (activated expression system at 29°C); (L) unstimulated and (M) stimulated control and dsh1 mutant preparations. Scale bar: 10 μm. (F,H) Mann–Whitney test. (G,I–M) Two-tailed, unpaired t-tests: *p < 0.05; **p < 0.01. Data are shown as scatter plots and means ± SEM.
Here we use the Drosophila NMJ model to ask whether the Wg PCP pathway (Figure 1E) is involved in ADSP. We use the appearance of de novo synaptic structures, ghost boutons, to quantify the extent of these changes. Because of their rapid development (90 min following stimulation), ghost boutons represent early pre-synaptic structures that are devoid of post-synaptic differentiation (Figure 1A). This characteristic has been widely used to easily identify ghost boutons at the NMJ, in order to quantify ADSP (Ataman et al., 2008; Fuentes-Medel et al., 2009; Freeman et al., 2011; Nesler et al., 2013, 2016; Piccioli and Littleton, 2014; Vasin et al., 2014, 2019; Alicea et al., 2017; Maldonado-Díaz et al., 2021). Our present work investigates the role of the PCP pathway in the production of these morphological synaptic changes. We find that several pathway members are involved in this process. Indeed, we first show that a PCP-specific dsh allele (Perrimon and Mahowald, 1987) is necessary for optimal ADSP. We then show that activity of the Rho1, Rac1, and Cdc42 GTPases can also influence ADSP. We then investigate the Jun kinase (JNK), an effector of these GTPases (Coso et al., 1995; Rosso et al., 2005) and show that its loss of function is detrimental to ADSP; however, the transcription factor AP1 (Fos/Jun), a target of JNK (Sanyal et al., 2002; Etter et al., 2005), is not necessary for this process. In most of our experiments, we use an inducible RNA expression system to selectively down- or up-regulate the activity of the members of the PCP pathway pre-synaptically only (post-synaptic expression is unchanged) and late in development (after the establishment of the NMJ). This allows us to conclude that the effects we observed are due to a change in the PCP pathway activity within the motoneuron and not a consequence of developmental perturbation. On the contrary, we argue that it reflects a need for the PCP pathway within the motoneuron to achieve optimal ADSP.
Materials and methods
Genetics
For experiments using the elavc155-gal4 insertion on the X chromosome, only females were used (in order to consider heterozygote animals). In the other experimental procedures, animals from both sexes were used. Flies were reared on standard fly food at 18°C for conditional experiments or at 25°C in all other cases. Our methods are consistent with standard husbandry and care. Our laboratory follows ethical practices while carrying out experiments as well as the cataloging of Drosophila. The fly strains used in this study include dsh1 [Bloomington Drosophila stock center (BDSC), stock #5298], and w1 (BDSC, stock #145) as a control. We used the Gal4/UAS system (Brand and Perrimon, 1993) to express dominant-negative or constitutively active genes in neurons. For this, we used the pan-neuronal driver elavc155-gal4 (BDSC, stock #458) whose expression starts early in embryogenesis (after neuroblast mitosis) in combination with UAS-dsh-RNAi (BDSC, stock #31306), UAS-rac1N17 (BDSC, stock #6292), UAS-rac1V12 (BDSC, stock #6291), UAS-rho1N19 (BDSC, stock #58818), UAS-rho1V12 (BDSC, stock #58817), UAS-cdc42N17(BDSC, stock #6288), UAS-cdc42V12 (BDSC, stock #4854), Tub-Gal80TS (BDSC, stock #7108), UAS-jnkDN (BDSC, stock #9311), UAS-fosDN (BDSC, stock #7215) and UAS-junDN (BDSC, stock #7218). The controls for these experiments were the driver elavc155-gal4/+. For the conditional experiments, we made a fly containing the elavc155-gal4 on the first chromosome and Tub-Gal80TS on the second chromosome. This fly expresses the thermosensitive inhibitor Gal80TS (McGuire et al., 2004) under the control of an ubiquitous tubulin (Tub) promoter. Larvae for the conditional experiments were reared at 18°C, where Gal80TS inhibits protein expression by binding to the Gal4 activator. Then, we shifted them to 29°C, inhibiting Gal80TS and therefore allowing the expression of specific proteins activated by Gal4. Considering the lethality and the axon pathfinding errors associated with the early expression of these transgenes, we decided to limit their expression to 48 h before performing the stimulation protocol. At this time, we minimize the effect of the transgenes’ expression on synapse development and growth while affecting their function for ADSP.
Stimulation protocol
We dissected the body wall muscles from third instar larvae in hemolymph-like HL3 saline (70 mM NaCl, 10 mM NaHCO3, 115 mM sucrose, 5 mM trehalose, 5 mM HEPES, 10 mM MgCl2), leaving unharmed the CNS and the peripheral nerves innervating the body wall muscles. The protocol was carried out on partially intact and non-stretched preparations. The stimulation protocol that we used was adapted from Ataman et al. (2008) and is constituted of 5 stages that alternate stimulation and rest periods. In the first three stages the preparations were stimulated for 2 min followed by a 15 min rest period. The fourth stage is composed of a 4 min stimulation period followed by a 15 min rest while the fifth and last stage is composed of a 6 min stimulation period followed by a 14 min rest. The 5 stimulation periods were elicited using a potassium- and calcium-rich HL3 saline solution (90 mM KCl and 1.5 mM CaCl2), while during the five rest periods a HL3 saline containing 5 mM KCl and 0.1 mM CaCl2 was applied.
Immunohistochemistry
After stimulation, the preparations were fixed for 15 min at room temperature in a solution of 4% paraformaldehyde in PBS before being incubated overnight at 4°C within a primary (anti-Dlg) antibody solution (1:20; Budnik et al., 1996). The secondary antibody (1,300; Alexa Fluor 488-conjugated AffiniPure goat anti-mouse or anti-rabbit, Jackson ImmunoResearch) and Anti-Hrp (1,300; Cy3-conjugated AffiniPure goat anti-horseradish peroxidase, Jackson ImmunoResearch; Jan and Jan, 1982) were applied for 1 h at room temperature as previously described (Alicea et al., 2017; Maldonado-Díaz et al., 2021).
Quantification of ghost boutons
We treated control preparations in parallel with each experimental genotype to account for the potential variation in our experimental manipulations. The control preparations were designed to contain the experimental preparations’ genetic background (w1 for dsh1 or the corresponding gal4 driver for the different expression systems used). Control and experimental preparations were also reared at the same temperature and submitted to the same shift (18–29°C) when applicable. We identified a ghost bouton as a bouton that had a positive immunoreactivity to anti-HRP and negative immunoreactivity to anti-Dlg. In all the experiments, ghost boutons were counted on muscle 6/7 NMJs, in A3 segments of third instar larvae. To carry out these observations, we used a Nikon Eclipse 80i microscope at a magnification of 400X.
Statistical treatment
We first identified any outlier using the ROUT method with a Q = 0.1%. Then, we assessed whether the data fitted a normal distribution using the Shapiro–Wilk normality test. For data sets with n ≥ 12, parametric tests were run when the Shapiro–Wilk normality test showed p > 0.0001. For data sets with n < 12, parametric tests were run when the Shapiro–Wilk normality test showed p > 0.05. For cases of parametric statistics, we ran an ANOVA test—when there are three or more data sets. We applied a post hoc Dunnett’s correction test when multiple comparisons are carried out against a control value. When only two data sets were compared, we performed two-tailed, unpaired t-tests. For non-parametric tests and when comparing three or more data sets, we ran a Kruskal–Wallis test with a post hoc Dunn’s multiple comparison test. When comparing two data sets, the Mann-Witney test was used. GraphPad Prism 6 was used to apply these statistical treatments.
Results
Disheveled and its PCP-specific domain relay the signal necessary for ADSP
Previous studies showed that the secreted molecule Wg and its pre-synaptic receptor Fz2 controlled ADSP at the Drosophila NMJ (Ataman et al., 2008; Alicea et al., 2017). Because Disheveled (Dsh) is the cytoplasmic molecule making the link between the Wg receptor and its different effectors, it is often called the Wg hub (Gao and Chen, 2010). We asked whether Dsh loss of function could reduce ADSP and phenocopy the defects in ADSP observed in the wg and fz2 loss of function backgrounds (Ataman et al., 2008; Alicea et al., 2017). We used a well-described method to repeatedly stimulate the NMJ preparation in a way reminiscent of the stimulation protocol used on hippocampal neurons in culture (Wu et al., 2001). In these conditions, after a 90-min patterned repeated stimulation protocol, we observe the appearance of ghost boutons (see schematic diagram Figure 1A; Ataman et al., 2008) that show the neuronal membrane-specific marker revealed by the anti-HRP immunoreactivity (Jan and Jan, 1982), without the apposition of the post-synaptic marker Dlg (Disc large, the membrane-associated guanylate kinase homolog; Lahey et al., 1994; Budnik et al., 1996). These de-novo synaptic structures are noticeable when comparing unstimulated control synapses (Figure 1B) to stimulated control synapses (Figure 1C; arrowheads point to ghost boutons) and are easily quantifiable (Figures 1F–M).
Throughout this manuscript, we paid attention to the status of the synapse at rest (without stimulation) to ensure that there was no significant difference in the mean synaptic ghost bouton number between the studied genetic backgrounds. This way, we can infer that any observed differences after stimulation reflect a change in the synaptic answer to the activity-dependent process. In fact, unstimulated preparations across all the genotypes studied (Figures 1F,H,J,L) show no differences. We later ensured that our stimulation protocol was efficient in eliciting ghost boutons. Here, our unstimulated control preparations showed a mean of 0.36 ± 0.15 ghost boutons per synapse (Figure 1F, black circle, n = 11), and our stimulated controls showed 7.28 ± 0.69 ghost boutons (Figure 1G, black circle, n = 25), indicating an increase in ghost boutons comparable to previously published work (Ataman et al., 2008; Freeman et al., 2011; Nesler et al., 2013, 2016; Piccioli and Littleton, 2014; Vasin et al., 2014, 2019; Alicea et al., 2017; Lee et al., 2017; Maldonado-Díaz et al., 2021).
We then asked whether Dsh was necessary to perform ADSP. Because of the importance of Dsh in transducing the Wg signal, its null alleles (for example dshX788 and dshnYn234Y) are embryonic lethal and therefore do not allow the study of the larval NMJ (Perrimon and Mahowald, 1987; Klingensmith et al., 1994). To create a viable loss of function condition for dsh, we used RNA interference (RNAi; Piccin et al., 2001) and expressed it using the elav-Gal4 post-mitotic neuronal driver (Robinow and White, 1991). When these preparations were submitted to the patterned repeated stimulation protocol, they showed fewer ghost boutons (Figure 1G, red circles). The mean ghost bouton number in these preparations was 4.46 ± 2.48, a value less than the control value (p = 0.0026; n = 22), suggesting that Dsh is indeed involved in ADSP.
Although we used the postmitotic driver elav-Gal4 to initiate dsh loss of function, its expression starts early in development (end of embryogenesis). Therefore, the phenotype we observe could be caused by a detrimental event during synapse formation due to a lack of Dsh activity. To rule out this possibility, we first examined the NMJ and did not notice any phenotype affecting axon routing or synaptic growth. Secondly, we designed an inducible expression system to affect Dsh activity. This system involves the expression of 3 different transgenes within the studied animal: the elav-Gal4 driver, the effector UAS-dsh-RNAi, and the inhibitor Tub-Gal80TS. In this system, the temperature-sensitive (TS) Gal80TS protein is expressed ubiquitously (under the control of the tubulin promoter) and able to repress Gal4 at permissive temperature (18°C; McGuire et al., 2004). Indeed, at this temperature, the expression of dsh RNAi is shut off and we observe no difference between the controls and the animals containing dsh RNAi in both non-stimulated (Figure 1H) and stimulated (Figure 1I) preparations. At the restrictive temperature (29°C), the temperature-sensitive mutation carried by Gal80TS is revealed, producing a non-functional Gal80, which leads to the de-repression of the system, and the expression of dsh RNAi. In this condition, we can observe a loss of function phenotype when we elicit ADSP. When we derepressed the Gal4/UAS system for 48 h before performing the stimulus protocol, we did not observe any difference at rest between controls and dsh RNAi loss of function (the mean value of controls is 0.75 ± 0.25, n = 8, while it is 0.67 ± 0.19, n = 12 for dsh RNAi expressing animals; Figures 1B,J). After repeated patterned stimulations, we did observe differences between controls and preparations containing the dsh RNAi construct. While the mean value of ghost boutons is 9 ± 0.8 for controls (n = 9; Figures 1C,K), it is reduced in dsh RNAi animals (4.8 ± 1.07 ghost boutons; n = 10; p = 0.007; Figures 1D,K). This reduction, provoked by a loss of Dsh activity only 48 h before applying the repeated stimulation protocol, is comparable to the reduction observed when we inhibit Dsh function since the end of embryogenesis (Figure 1G). This suggests that the effect observed on ADSP is due to the requirement of Dsh function at the time of the stimulation challenge and not a consequence of perturbed development. It is important to note that we have previously shown that temperature itself can have limited yet significant effects on the apparition of ghost boutons (Maldonado-Díaz et al., 2021). This is why our work here will only compare the data emanating from animals that experienced identical temperatures during their development and experimental procedures.
Having established the importance of Dsh in transducing the signal responsible for ADSP, we asked whether the planar cell polarity pathway (PCP) was involved in this phenomenon. To do so, we took advantage of the previously studied and isolated dsh1 allele (Perrimon and Mahowald, 1987). This allele, often referred to as a PCP-specific allele, encodes a version of Dsh that selectively affects the transduction of the Wg signaling to the PCP pathway without altering the efficacy of the Wg signal toward the canonical or the calcium pathway (Axelrod et al., 1998; Boutros et al., 1998; Yanfeng et al., 2011). At rest, there is no difference between control and dsh1 animals (the mean value of controls and dsh1 animals are 0.54 ± 0.21, n = 13 and 0.55 ± 0.8, n = 14 respectively; Figure 1L). Nevertheless, after repeated patterned stimulation, the mean number of ghost boutons appearing at the synapse is reduced in dsh1 animals (4.32 ± 0.54, n = 25; red circles, Figure 1M) when compared to control (6.81 ± 0.83, n = 21; p = 0.017; black circles, Figure 1M). This result suggests that part of the Wg signal required to perform ADSP is transduced through the PCP pathway. To consolidate the idea that the Wg PCP pathway is an integral part of ADSP machinery, we decided to ask whether other members of this pathway (Figure 1E) could affect this plasticity.
Rho1 activity can repress the morphological changes associated with ADSP
Since Dsh transduces the Wg signal through several GTPases (Boutros et al., 1998; Fanto et al., 2000; Schlessinger et al., 2007), we decided to investigate the role of Rho1 in ADSP. Rho1 is a small GTPase that functions as a molecular switch cycling between an inactive GDP-bound form and an active GTP-bound form to mainly regulate the assembly and reorganization of the actin cytoskeleton controlling different cellular activities (Jaffe and Hall, 2005). In this way, Rho1 influences several biological processes such as embryogenesis, cell polarity, and cell division (Hariharan et al., 1995; Olson et al., 1995; Barrett et al., 1997; Strutt et al., 1997). Its role in neuronal development has also been studied; Rho activation can promote or inhibit neuronal growth cones as well as inhibit dendritic growth (Luo, 2000; Dickson, 2001; Auer et al., 2011). Reducing the activity of p190 RhoGAP, a negative regulator of Rho, provokes axonal guidance defects and decreases axon number in hippocampal cells (Brouns et al., 2001). In Drosophila mushroom bodies, the reduction of p190 RhoGAP promotes retraction of axonal branching, while its overexpression promotes axonal extension (Billuart et al., 2001). In addition, inhibition of neural activity in cortical neurons decreases active Rho levels while expression of constitutively active Rho increases axon branching by elimination and addition of branches (Ohnami et al., 2008).
Here we asked whether Rho1 was involved in ADSP at the NMJ. Because of Rho1’s multiple cellular functions its null mutations are lethal, so we therefore decided to express a dominant negative version (Rho1DN, see material and methods) and a constitutively active version (Rho1CA, see material and methods). We used the Gal4/Gal80TS inducible system described previously to bypass the potential effects of these constructs’ expression on axon pathfinding and neuronal growth. We first checked that there were no notable differences regarding the number of ghost boutons in unstimulated preparations across all the genotypes considered at both permissive temperature (controls showed 1.21 ± 0.27 ghost boutons; n = 19; Rho1DN 0.91 ± 0.28; n = 11; p = 0.57; Rho1CA 0.64 ± 0.2; n = 14; p = 0.2; Figure 2D) and restrictive temperature (control showed 1.6 ± 0.29 ghost boutons; n = 22; Rho1DN 1.14 ± 0.31; n = 14; p = 0.6; Rho1CA 1.82 ± 0.28; n = 22; p = 0.97; Figure 2F). We also asked whether the inhibition of the Rho1DN or Rho1CA expression by Gal80TS at 18°C was consistent with the observed results; we expected all the preparations to behave like controls if the expression was silenced efficiently. Indeed, the stimulated control preparations showed a mean number of ghost boutons of 6.5 ± 0.73 (Figure 2E; n = 10), a number not statistically different from the one observed in the stimulated preparations carrying the silenced dominant negative construct (7.75 ± 0.93; n = 12; p = 0.42) or the silenced constitutively active construct (5.9 ± 0.5; n = 10; p = 0.82). This suggests that the expression of these transgenes is efficiently suppressed by Gal80TS at 18°C or that it does not affect the mean ghost bouton number. Notably, we can confirm that our constructs worked effectively because the expression of either Rho1DN or Rho1CA at 25°C was lethal. We therefore shifted the temperature to 29°C 48 h before assessing ADSP. In this condition, we observed a mean number of ghost boutons of 11.14 ± 0.68 (Figure 2A,G; n = 35) in control animals, while animals expressing the dominant negative form of Rho1 presented a mean ghost bouton number of 12.10 ± 1.5 (n = 20), a value similar to control (Figure 2B,G; p > 0.99). This suggests that Rho1 activity is not required for the formation of the morphological synaptic structures associated with ADSP. In contrast, when we expressed the constitutively active version of Rho1 in neurons 48 h before repeated stimulation we could observe a decrease in the mean number of GB formed (Figure 2C,G; 5.6 ± 0.27; n = 15; p < 0.0001). These results show that the Rho1 GTPase activity can suppress part of the morphological synaptic response that is associated with activity-dependent synaptic plasticity. This is reminiscent of its role in neuronal morphogenesis and structural plasticity in which Rho1 signaling regulates repulsive axon guidance cues and axon or dendritic retraction (Luo, 2002).
Figure 2. The GTPase Rho1 can repress ADSP. (A) Representative confocal photograph of a stimulated control synapse showing HRP and DLG immunoreactivity and ghost bouton formation (arrowheads). (B) Representative confocal photograph of a stimulated synapse expressing a dominant negative (DN) form of the Rho1 GTPase. (C) Representative confocal photograph of a stimulated synapse expressing a constitutively active (CA) form of the Rho1 GTPase. (D–G) Quantification of mean ghost bouton number in (D) unstimulated and (E) stimulated preparations containing the repressed (18°C) conditional expression system to express Rho1DN or Rho1CA; (F) unstimulated and (G) stimulated preparations expressing (29°C) Rho1DN or Rho1CA 48 h prior to the stimulation. Scale bar: 10 μm. (D,G) Kruskal–Wallis with Dunn’s multiple comparison test. (E,F) ANOVA with Dunnett’s multiple comparisons test: ****p < 0.0001. Data are shown as scatter plots and means ± SEM.
The GTPase Cdc42 represses ADSP
We then investigated the role of another GTPase, Cdc42, known to be activated downstream of Dsh (Moriguchi et al., 1999; Schlessinger et al., 2007). We first constitutively expressed dominant negative (DN) or constitutively active (CA) versions of Cdc42 in post-mitotic neurons (elav-Gal4 driver). Under these conditions, we did not observe any differences in the mean number of ghost boutons in unstimulated and stimulated preparations (Figures 3D,E). This suggests that changing Cdc42 activity might have no consequences on the neuronal properties underlying ADSP or that these consequences might be compensated for during development. To distinguish between these two possibilities, we used the previously described inducible expression system in which expression of the altered Cdc42 constructs is switched on 48 h before carrying out the repeated stimulation protocol. As previously described, we confirmed again that the system was inhibited at 18°C (data not shown) before de-repressing the expression system 48 h prior to the repeated stimulation protocol. Following this activation, we observed no change in unstimulated preparations (Figure 3F). In contrast, after repeated stimulations we observed an increase in the mean number of ghost boutons when we expressed the dominant negative form of Cdc42 (compare 8.61 ± 0.46 in control to 11.23 ± 4.46 in cdc42DN; p = 0.009; Figures 3A,B,G). Interestingly, the expression of the constitutively active form of Cdc42 showed a decrease in the number of morphological changes associated with ADSP (average of ghost bouton is 5.83 ± 0.58 in cdc42CA; p = 0.002; Figures 3C,G). These results suggest that Cdc42 is involved in repressing the expression of ADSP.
Figure 3. The GTPase Cdc42 represses ADSP. (A) Representative confocal photograph of a stimulated control synapse showing HRP and DLG immunoreactivity and ghost bouton formation (arrowheads). (B) Representative confocal photograph of a stimulated synapse expressing a dominant negative (DN) form of the Cdc42 GTPase. (C) Representative confocal photograph of a stimulated synapse expressing a constitutively active (CA) form of the Cdc42 GTPase. (D–G) Quantification of mean ghost bouton number in (D) unstimulated and (E) stimulated control and preparations expressing Cdc42DN or Cdc42CA constitutively; (F) unstimulated and (G) stimulated control and preparations expressing Cdc42DN or Cdc42CA for 48 h prior to the stimulation. Scale bar: 10 μm. (D) Kruskal–Wallis with Dunn’s multiple comparison test. (E–G) ANOVA with Dunnett’s multiple comparisons test: **p < 0.01. Data are shown as scatter plots and mean ± SEM.
The GTPase Rac 1 affects ADSP
We tested a third GTPase activated by Dsh and the Wg signaling, Rac1 (Fanto et al., 2000; Bikkavilli et al., 2008; Li et al., 2016), for its potential role in shaping activity-dependent synaptic plasticity. As previously described, we used a temperature-driven conditional expression system to express Rac1 dominant negative (DN) or constitutively active (CA) versions. We first verified that no phenotypes were associated with Rac1 expression at low temperatures (18°C; data not shown). We then induced Rac1DN or Rac1CA expression 48 h before our experimental procedures. While we observed no differences in unstimulated preparations (Figure 4D), we did observe changes in the mean number of ghost boutons present at the Rac1DN- and Rac1CA- expressing synapses. When control synapses showed a mean number of ghost boutons of 9.62 ± 0.42 (dark circles; n = 65; Figure 4A), synapses expressing both Rac1 constructs showed an increase in the mean ghost bouton number. Indeed, Rac1DN expressing synapses showed 12.93 ± 1.2 ghost boutons (red circles; n = 30; p = 0.002; Figures 4B,E) and Rac1CA expressing synapses showed 14.2 ± 1.3 (blue circles; n = 18; p = 0.0009; Figures 4C,E). Although it seems counterintuitive that the expression of both the dominant negative and the constitutively active forms of Rac1 provokes the same phenotype it is reminiscent of phenotypes previously observed during axon pathfinding within neurons expressing Rac1DN or Rac1CA. Indeed, ISNb axons of motoneurons expressing either Rac1DN or Rac1CA during embryonic development showed arrested growth cones (Kaufmann et al., 1998). In addition, the expression of both Rac1DN and Rac1CA during embryonic axonal outgrowth causes increased axonal loss (Luo et al., 1994). Interestingly, that study showed that Rac1CA expression induced a stronger phenotype and an accumulation of F-actin that was not present in Rac1DN-expressing animals (Luo et al., 1994), suggesting that Rac1CA and Rac1DN expression led to the same phenotype by affecting different cytoskeletal processes. Interestingly, at the NMJ expression of Rac1DN (Park et al., 2022) and Rac1CA (Ball et al., 2010) both cause an increase of synaptic boutons. Here we show that changing Rac1 activity increases the morphological changes associated with activity-dependent synaptic plasticity. Taken together, these results show that the Rho family GTPases downstream of Dsh are involved in the morphological response associated with activity-dependent synaptic plasticity.
Figure 4. The GTPase Rac 1 can regulate ADSP. (A) Representative confocal photograph of a stimulated control synapse showing HRP and DLG immunoreactivity and ghost bouton formation (arrowheads). (B) Representative confocal photograph of a stimulated synapse expressing a dominant negative (DN) form of the Rac1 GTPase. (C) Representative confocal photograph of a stimulated synapse expressing a constitutively active (CA) form of the Rac1 GTPase. Quantification of mean ghost bouton number in (D) unstimulated and (E) stimulated control and preparations expressing Cdc42DN or Cdc42CA for 48 h prior to the stimulation. Scale bar: 10 μm. ANOVA with Dunnett’s multiple comparisons test: **p < 0.01; ***p < 0.001. Data shown as scatter plots and mean ± SEM.
Jun kinase activity is required for optimal ADSP in an AP1-independent manner
One of the major PCP pathway effectors is Jun kinase (Jnk; Strutt et al., 1997; Boutros et al., 1998; Jenny, 2010). This kinase can be activated by the Rho GTPases and can in turn activate cytoskeletal effectors (Strutt et al., 1997; Fanto et al., 2000; Bikkavilli et al., 2008) and transcriptional regulators. The latter are composed of the transcription factors cJun and cFos which act as dimers known as AP1 (Curran and Franza, 1988; Karin et al., 1997). We expressed a dominant-negative form of Jun kinase (JnkDN) in a constitutive manner (Figure 5E) and used the temperature-driven conditional expression (48 h prior to repeated stimulations; Figures 5B,G). In both cases, we observed a significant decrease in ghost bouton formation. In the experiment in which we use constitutive expression, control preparations showed a mean of 6.82 ± 0.52 (Figure 5E) ghost boutons after stimulation, while the mean ghost bouton number of preparations with JnkDN constitutive expression was 2.47 ± 0.6 (Figure 5E; p < 0.0001). When we use the conditional expression system, the control synapses showed 8.97 ± 0.57 (Figures 5A,G) but only 5.63 ± 0.61 (Figures 5B,G; p = 0.0018) in preparations presenting JnkDN conditional expression. This shows that Jnk activity is required to fully achieve the morphological changes associated with ADSP.
Figure 5. Jun Kinase is required for optimal ADSP in an AP1-independent manner. (A) Representative confocal photograph of a stimulated control synapse showing HRP and DLG immunoreactivity and ghost bouton formation (arrowheads). (B) Representative confocal photograph of a stimulated synapse expressing a dominant negative (DN) form of Jun Kinase. (C) Representative confocal photograph of a stimulated synapse expressing a dominant negative (DN) form of c Jun. (D–G) Quantification of mean ghost bouton number in (D) unstimulated and (E) stimulated control and preparations constitutively expressing JnkDN or c JunDN or c FosDN; (F) unstimulated and (G) preparations expressing JnkDN or c JunDN or c FosDN for 48 h prior to the stimulation. Scale bar: 10 μm. (D,F,G) Kruskal–Wallis with Dunn’s multiple comparisons test (E) ANOVA with Dunnett’s multiple comparisons test: **p < 0.01; ****p < 0.0001. Data are shown as scatter plots and mean ± SEM.
We then logically asked whether the transcription factors cJun and cFos were involved in transducing the signal necessary for the ghost bouton formation after stimulation. To do so, we expressed dominant negative forms (Eresh et al., 1997) of these two constructs in a constitutive and conditional form (Figures 5C–G). We observed no difference between control preparations and preparations containing the dominant negative forms in unstimulated and stimulated procedures. When expressing the dominant negative constructs we noticed smaller synapses, a phenotype documented before (Ballard et al., 2014) that validates our expression system. This result suggests that the transcriptional control exercised by AP1 is not necessary for the morphological changes associated with activity-dependent synaptic plasticity. We favor the hypothesis that Jnk and the Rho GTPases act on cytoskeletal regulators to achieve these morphological changes.
Discussion
Structural synaptic plasticity is a fundamental feature of the nervous system, in which Wg/Wnt signaling plays an essential role. Reduction of Wg and its receptor Fz2 impaired the formation of activity-dependent modifications of synaptic structure (Ataman et al., 2008; Alicea et al., 2017). Overexpression of GSK3β/Sgg, an important canonical pathway member, prevents ADSP at the Drosophila NMJ (Ataman et al., 2008). Upon stimulation, Wg protein release increases at the synapse (Ataman et al., 2008), which suggests an increased activation of Wg signaling pathways. Repeated simulation of the synapse also promotes an increase of CaMKII, and reducing synaptic CaMKII impairs the activity-dependent formation of de novo boutons (Nesler et al., 2016). This suggests some role of the Wnt/Ca2+ non-canonical pathway on activity-dependent synaptic plasticity.
Despite the existing interest in the Wnt/Wg PCP pathway, its role regarding processes of synaptic plasticity has not been extensively investigated. The Wg signal for polarity has been described extensively in several cellular environments (Maung and Jenny, 2011). In the developing eye, alteration of the PCP pathway provokes defects in the anterior–posterior and dorsal-ventral axes in the arrangement of ommatidia (Strutt et al., 1997; Boutros et al., 1998; Fanto et al., 2000; Adler, 2002; Strutt et al., 2013). In the Drosophila wing, the orientation of cellular hairs in the proximal-distal axis is impaired by defects of the PCP pathway (Strutt et al., 1997; Adler, 2002; Wu et al., 2013; Fagan et al., 2014). Neurons are one of the most morphologically polarized cell types, and mutations of Wnt/PCP pathway members like Dsh, Prickle, Strabismus, and Fz provoke axonal branching defects in mushroom bodies (MB) of Drosophila adult brain (Ng, 2012). Studies showed that Rac GTPase inactivation in mushroom bodies results in axonal branching defects (Ng et al., 2002). Wnt5, Fz, and Dsh act in concert with the small GTPase Rac1 to activate the actin assembly functions of dDAAM (dsh-associated activator of morphogenesis) necessary for the correct targeting of MB axons (Gombos et al., 2015). In addition, dDAAM regulates microtubule stability and synaptic growth at the Drosophila NMJ (Migh et al., 2018) while expression of RacDN (Park et al., 2022) and RacCA (Ball et al., 2010) promote synaptic overgrowth at the NMJ. Here, we have provided evidence that key molecules involved in the PCP pathway can affect the morphological modifications consequent to ADSP and are therefore necessary to achieve optimal activity-dependent synaptic plasticity. It is important to note that we never observed a complete ghost bouton elimination after affecting the PCP pathway. This makes sense since the other Wg pathways — the canonical pathway (Ataman et al., 2008; Alicea et al., 2017) and the calcium pathway (Freeman et al., 2011; Nesler et al., 2016)— are also necessary to achieve full ADSP. The contribution of the Wg PCP pathway to the formation of de novo synaptic structures after stimulation illustrates the redundancy and robustness of the Wg/Wnt signal in directing ADSP.
Our work revealed PCP pathway molecules exercising both activation and repression of ADSP. Indeed, the loss of function of dsh, either using RNAi or the PCP-specific allele dsh1, showed compromised plasticity. The same was true for the loss of function of jnk. This suggests that the role of these molecules is to promote activity. Activation and repression of ghost bouton formation was also achieved by modifying Rho GTPase activity. Expression of the constitutively active forms of the three GTPases we tested showed phenotypes, suggesting that these molecules can regulate ADSP. While Cdc42CA and Rho1CA expressing synapses show reduced plasticity, Rac1CA expression elicited an over plastic response. This antagonistic relationship between Rho1 and Rac1 has been documented previously. For example, Rac1 activation promotes neurite formation and outgrowth, but Rho1 activation leads to neurite retraction and suppresses neurite outgrowth (Luo, 2000; Lorenzetto et al., 2013). Similarly, proper dendritic spine morphogenesis requires balanced Rho GTPase activity regulation (Penzes and Cahill, 2012). Interestingly, Rac1 induces the formation and maintenance of dendritic spines, while Rho1 decreases spine formation by promoting spine pruning or retraction (Nakayama et al., 2000; Tashiro et al., 2000; Newey et al., 2005; Bolognin et al., 2014). Like for neurite and spine formation but also cell migration (Ridley, 2015; Xu et al., 2019), our work has the potential to illustrate the importance of the relative balance of the GTPases’ spatiotemporal activity in regulating cytoskeletal dynamics.
Indeed, our work provides an insight into the complexity of the Rho GTPases at the NMJ. It is intriguing that the expression of the dominant negative or constitutively active forms of cdc42 do not provide a phenotype when expressed since early embryogenesis. In contrast, both constructs’ expressions provoke a phenotype when expressed for 2 days before eliciting ADSP. This is reminiscent of the results obtained with Wg overexpression, where only a transient expression could influence synaptic proteins’ expression (Alicea et al., 2017). This perhaps illustrates that for Wg and its downstream GTPases, a briefer change of expression or activity likely better mimics the timescale relevant to ADSP than a constitutive expression. This result could be due to compensatory mechanisms between different GTPases. Indeed, the functional redundancy between Cdc42 and Rac1 is established. For example, Rac1 and Cdc42 both promote dendritic spine formation (Nakayama and Luo, 2000; Bolognin et al., 2014), cell extension (Nakayama et al., 2000; Swetman et al., 2002), and actin polymerization (Nobes and Hall, 1995; Lamarche et al., 1996). In addition, Cdc42 and Rac1 can be activated by the same molecular cascade (Buchsbaum, 2007) and there is evidence suggesting that depletion of Cdc42 in Hela cells can be compensated for by other GTPases to restore functional actin dynamic (Bonfim-Melo et al., 2018). Therefore, although there is evidence that GTPases functions are required at different times (Vadodaria et al., 2013), Rac1 could substitute Cdc42. The observed Cdc42 phenotypes indicate a role in repressing ADSP. Indeed, the dominant negative form is over plastic, while the constitutively active form is under plastic. This shows that in our system Cdc42 represses ghost bouton formation. This is surprising since most studies show that Cdc42 and the Rho GTPases in general promote membrane protrusion (Sadok and Marshall, 2014). Nevertheless, at the NMJ, cdc42 mutations provoke an overgrown synapse, suggesting that Cdc42 represses synaptic growth (Rodal et al., 2008) while expression of RacDN (Park et al., 2022), RacCA and RacOE (Ball et al., 2010) promotes synaptic growth. These studies might indicate a more complex interaction between the Rho GTPases.
While Rho1CA animals showed repressed ADSP, Rho1DN did not show any phenotype. It is important to note that we know that Rho1DN expression can decrease Rho function since its constitutive expression creates lethality. We can therefore hypothesize that the absence of phenotype in the Rho1DN animals might be due to compensation/redundancy from other GTPase activity. Alternatively, its function at the time at which we express its dominant negative form is perhaps not to repress ADSP. Indeed, Rho GTPases serve different functions at different times. For example, in hippocampal neurogenesis, Cdc42 promotes initial dendritic development and spine maturation, while Rac1 is essential for the late stages of dendritic growth and spine maturation (Vadodaria et al., 2013).
Finally, both the constitutive and dominant negative forms of Rac1 provoke over plasticity at the NMJ. Although surprising, this is not the first time that the same phenotype has been observed when expressing these two constructs. Expression of both constitutively active and dominant-negative forms of Rac1 causes axonal loss in Drosophila (Luo et al., 1994), and Rac1 can have a dual function regulating attractive and repulsive signals in axonal guidance (Fan et al., 2003). Taken together, these results give an image of an intricate and complex local role of the Rho GTPases in regulating ADSP induced at the synapse upon high neuronal activity.
We have shown that the transcriptional regulator AP1 is unlikely to be involved in ADSP. We favor the hypothesis that regulation of the cytoskeleton by the PCP pathway is involved in regulating this plasticity. The reorganization of the synaptic cytoskeleton has been extensively studied in spines and is linked to processes of activity-dependent plasticity and learning and memory (Repetto et al., 2014; Macgillavry et al., 2016; Cornelius et al., 2021). This process involves the reorganization of filamentous actin, actin regulators, and microtubules (Ka and Kim, 2016; Schätzle et al., 2018; Cornelius et al., 2021). In fact, we have previously isolated one such regulator, the actin regulator Cortactin (Weed et al., 2000; Weaver et al., 2001) and showed that it is a regulator of ADSP, and that its protein is upregulated under the control of Wg signaling (Alicea et al., 2017). Determining whether the PCP pathway is involved in this regulation will be a challenge for the future.
Data availability statement
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.
Ethics statement
Ethical approval was not required for the study involving animals in accordance with the local legislation and institutional requirements because our laboratory follows the guidelines required by the NIH and NSF granting agencies and uses ethical practices when handling our model system animal, the fruit fly Drosophila melanogaster. Our lab follows a Standard Operating Procedure (SOP) manual that was validated by the University. This document refers to and/or dictates the rules and lab conduct regarding safety and animals handling. It describes how to handle Drosophila properly and ethically.
Author contributions
CD-C: Conceptualization, Formal Analysis, Investigation, Visualization, Writing – original draft, Writing – review & editing. MV: Investigation, Writing – review & editing. BM: Conceptualization, Funding acquisition, Supervision, Visualization, Writing – original draft, Writing – review & editing.
Funding
The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was supported by the NIH NINDS-R21NS114774 to BM, the NSF HRD-1736019 grants to BM and MV and the NIH RISE R25GM061838 grant to CD-C. Confocal microscopy was supported by NIH NIGMS GM103642 and fly husbandry by NIH-RCMI 5U54MD007600.
Acknowledgments
We thank Jonathan Blagburn for his valuable comments on previous versions of this manuscript. Parts of our schematic diagrams (Figures 1A,E) were created with Biorender.com.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.
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Keywords: NMJ, disheveled, Rho1, Rac1, Cdc42, Jun kinase, AP1
Citation: Dominicci-Cotto C, Vazquez M and Marie B (2024) The Wingless planar cell polarity pathway is essential for optimal activity-dependent synaptic plasticity. Front. Synaptic Neurosci. 16:1322771. doi: 10.3389/fnsyn.2024.1322771
Edited by:
Maria Bykhovskaia, Wayne State University, United StatesReviewed by:
C. Andrew Frank, The University of Iowa, United StatesArchan Ganguly, University of Rochester Medical Center, United States
Copyright © 2024 Dominicci-Cotto, Vazquez and Marie. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Bruno Marie, YnJ1bm8ubWFyaWVAdXByLmVkdQ==