SUMMARY
The homeostatic control of presynaptic neurotransmitter release stabilizes information transfer at synaptic connections in the nervous system of organisms ranging from insect to human. Presynaptic homeostatic signaling centers upon the regulated membrane insertion of an amiloride-sensitive Deg/ENaC channel. Elucidating the subunit composition of this channel is an essential step toward defining the underlying mechanisms of presynaptic homeostatic plasticity (PHP). Here, we demonstrate that the ppk1 gene encodes an essential subunit of this Deg/ENaC channel, functioning in motoneurons for the rapid induction and maintenance of PHP. We provide genetic and biochemical evidence that PPK1 functions together with PPK11 and PPK16 as a presynaptic, hetero-trimeric Deg/ENaC channel. Finally, we highlight tight control of Deg/ENaC channel expression and activity, showing increased PPK1 protein expression during PHP and evidence for signaling mechanisms that fine tune the level of Deg/ENaC activity during PHP.
Graphical abstract

INTRODUCTION
Homeostatic signaling systems stabilize neural function through the modulation of presynaptic transmitter release, ion channel abundance and neurotransmitter receptor trafficking (Davis, 2013; Marder and Goaillard, 2006; Turrigiano, 2008). The homeostatic modulation of neurotransmitter release has been observed at mammalian central synapses (Kim and Ryan, 2010; Zhao et al., 2011) and at neuromuscular synapses in species ranging from Drosophila to mouse and human (Davis, 2013; Cull-Candy et al., 1980; Wang et al., 2016). In these systems, decreased neurotransmitter receptor sensitivity is precisely counteracted by a homeostatic potentiation of neurotransmitter release, thereby maintaining appropriate muscle excitation, a process termed presynaptic homeostatic potentiation (PHP; Gaviño et al., 2015).
Core molecular components of the signaling systems that achieve PHP have begun to emerge through the results of large-scale forward genetic screens at the Drosophila NMJ (Brusich et al., 2015; Dickman and Davis, 2009; Muller et al., 2012; Müller et al., 2015; Wang et al., 2014; Younger et al., 2013) and additional hypothesis-driven studies (Penney et al., 2012). A core finding has been the demonstration that an amiloride-sensitive Deg/ENaC channel functions presynaptically to drive the induction and sustained expression of PHP (Younger et al., 2013). Presynaptic Deg/ENaC channel activity is not detected at baseline, but is rapidly induced upon postsynaptic neurotransmitter receptor inhibition (Younger et al., 2013). A current model suggests that ENaC channel insertion causes a sodium leak that depolarizes the presynaptic membrane and subsequently potentiates calcium influx through active-zone localized CaV2.1 calcium channels. This model is supported by a combination of ENaC channel pharmacology and presynaptic calcium imaging (Younger et al., 2013).
Deg/ENaC channels encompass a broad family of non-voltage activated sodium and, in some instances, calcium permeable channels that are believed to be heterotrimeric subunit assemblies (Anantharam and Palmer, 2007; Firsov et al., 1998; Kosari et al., 1998; Zelle et al., 2013). This family includes sodium leak channels (Chalfie, 2009), channels gated by low pH (Boiko et al., 2012; Du et al., 2014), chemoreceptors (Lin et al., 2005; Mast et al., 2014; Toda et al., 2012), and mechanoreceptors (Chen and Chalfie, 2015; Goodman et al., 2002; Gorczyca et al., 2014; Guo et al., 2014). Beyond this, a growing list of ligands has been shown to activate these channels including small neuropeptides and opioid peptides (Askwith et al., 2000). Increasing evidence suggests that channel subunit composition determines the biophysical properties of the channel, as well as the intracellular trafficking and channel localization (Askwith et al., 2004; Sherwood et al., 2011; Zelle et al., 2013). Thus, defining the subunit composition of the ENaC channel that drives PHP is an essential step toward defining the feedback control mechanisms that govern the expression of PHP.
In Drosophila, there is the potential for tremendous Deg/ENaC channel heterogeneity. The ppk gene family encodes a diverse family of Deg/ENaC channel subunits and with 31 independent ppk genes encoded in the genome, the combinatorial space for unique ion channel assemblies is tremendous (Zelle et al., 2013). To date, however, the full subunit composition of Drosophila Deg/ENaC channels with clearly defined biological activities has yet to be achieved and, therefore, very little is known about diversity and biological relevance of this large gene family. By screening a collection of ppk-RNAi transgenes, we have defined a third essential subunit of the Deg/ENaC channel that is required for presynaptic homeostatic plasticity (PHP) at the Drosophila NMJ. This subunit is encoded by the ppk1 gene. This finding is a surprise, given that PPK1 participates in a very different type of channel in peripheral sensory neurons. In the DA sensory neurons, PPK1 functions with PPK26 as part of a highly-expressed mechanotransduction channel (Gorczyca et al., 2014; Guo et al., 2014; Mauthner et al., 2014). The third subunit of the DA-neuron PPK1-containing mechanotransduction channel has yet to be identified, although it remains possible that the DA-neuron channel is not heterotrimeric (Chen et al., 2015). By characterizing a novel PPK1 containing ENaC channel in the context of PHP, we provide direct evidence that different PPK subunit assemblies can generate channels with very different properties and unique physiological roles in Drosophila neurons.
RESULTS
PPK1 is necessary for the rapid induction and sustained expression of presynaptic homeostatic potentiation
We sought to identify the full subunit composition of the Deg/ENaC channel that controls PHP. In our experiments, PHP is induced by the application of a sub-blocking concentration (15μM) of the glutamate receptor antagonist philanthotoxin (PhTx; see methods). Application of PhTx has been repeatedly demonstrated to decrease mEPSP amplitude and induce an offsetting, homeostatic increase in presynaptic release that restores EPSP amplitudes to wild type values (Frank et al., 2006; Younger et al., 2013). First, we performed an RNAi-based screen of the Drosophila ppk genes. We expressed available transgenic UAS-RNAi directed against individual ppk genes, doing so simultaneously in motoneurons and muscle using a combination of two GAL4 drivers in a single animal; OK371-GAL4, which expresses in motoneurons and BG57-GAL4, which expresses in muscle. For each UAS-ppk-RNAi genotype, we quantified mEPSP amplitude, EPSP amplitude, quantal content (average mEPSP amplitude/EPSP amplitude), resting membrane potential (RMP) and input resistance (Rin) in the presence of PhTx. The results of this screen are presented in Figure 1A. Three RNAi lines were shown to block PHP in our screen. Two of these lines target expression of PPK11 and PPK16 (Figure 1A, red), previously shown to be required for PHP (Younger et al., 2013). The third hit was an RNAi targeting the expression of the ppk1 gene. Thus, PPK1 is a strong candidate to be the third subunit of the Deg/ENaC channel necessary for PHP.
Figure 1. ppk1 is required for presynaptic homeostatic potentiation.

A) Data from a UAS-RNAi expression screen of ppk genes. Data are displayed in the presence of PhTx (open black circles) or the control genotype GAL4 (open gray circle, in the absence of PhTx). Tested genotypes are listed and those indicated in red have a mean EPSP that is more that 1 standard deviation (SD) below the mean of all tested genotypes in the presence of PhTx (a threshold indicated by the horizontal dotted line).
B) Representative traces for the indicated genotypes (0.3mM extracellular calcium).
C) Quantification of average mEPSP, EPSP, and QC. Neither ppkMinos nor ppkLR mutants exhibited a significant increase in QC in the presence of PhTx (n.s.; p=0.19 and p= 0.56, respectively).
D) Representative traces for indicated genotypes (1.5mM extracellular calcium).
E) Quantification of EPSCs for indicated genotypes in the presence of PhTx, normalized to baseline values recorded in the absence of PhTx for each genotype. If there were no change in the presence of PhTx, values would remain at 100%. In wild type there is a significant PhTx-dependent decrease in mEPSP amplitude (asterisk; p<0.01), but no significant percent decrease in EPSC amplitude compared to wild type in the absence of PhTx (n.s; p>0.1). Both ppkMinos and ppkLR mutants exhibited a significant decrease in mEPSP amplitudes and EPSC amplitudes in the presence of PhTx (asterisks; p<0.01) compared to their own genotypic baseline in the absence of PhTx. Data are presented as average ± SEM. Comparisons within each genotype, comparing the presence versus absence of PhTx, were made using a Student’s t-test.
It is worth noting that our screen also included an RNAi directed against the ppk18 gene. The ppk18 gene resides adjacent to the ppk11 and ppk16 genes in the genome. It was previously shown that the ppk11 and ppk16 genes are transcribed as a single mRNA and both are necessary for PHP (Younger et al., 2013). However, we found no evidence that ppk18 participates in PHP. This conclusion is based on our analysis of the ppk18-RNAi transgene by OK371-GAL4 and is supported by an analysis of two loss of function mutations that specifically disrupt the ppk18 gene locus (data not shown). Thus, while all three genes (ppk11, ppk16 and ppk18) reside adjacent to each other in the genome, only ppk11 and ppk16 participate in the ENaC channel required for PHP.
Next, we sought to confirm, genetically, that ppk1 is necessary for PHP. To do so, we tested two independent mutations previously demonstrated to disrupt the ppk1 gene. We examined a transposon insertion line, ppkMI04968 (referred to as ppkMinos) that resides in the 3′ untranslated region of the ppk1 gene. We also tested a molecularly defined ppk1 null mutation (a small deletion that removes the entire gene) termed ppkLargeRegion (ppkLR: note that ppkLR was originally published as ppk1ESB in Boiko et al., 2012). Here, we demonstrate that both ppkMinos and ppkLR completely block the rapid induction of PHP (Figure 1B, C; recordings in 0.3mM extracellular [Ca2+]. Note that samples sizes and additional values including resting membrane potential and muscle input resistance are presented in Supplemental Table 1). Specifically, we demonstrate that application of PhTx to the NMJ causes a significant (~50%) decrease in mEPSP amplitude in each genotype (Figure 1 B, C; p<0.01; Student’s t-test comparing, within each genotype, the absence versus presence of PhTx). In wild type (WT), following toxin application, there is a statistically significant, homeostatic increase in presynaptic quantal content (Figure 1C; p<0.01). However, there is no change in quantal content in either ppkMinos or ppkLR (Figure 1C; p>0.1 for each). As a consequence, EPSP amplitudes remain significantly smaller than control in ppkMinos or ppkLR, recorded in the presence of PhTx (Figure 1C). From these data, we conclude that ppk1 is essential for the rapid induction of PHP.
We repeated the analysis of PHP at physiological extracellular calcium (1.5mM [Ca2+]e), employing two-electrode voltage clamp to quantify AP-evoked excitatory postsynaptic currents (EPSC). In each genotype, application of PhTx causes a significant decrease in mEPSP amplitude (Figure 1D, E; p<0.01). Note that, as done previously (Müller et al., 2012, 2015), mEPSP amplitudes were used to assess the effectiveness of PhTx application prior to switching to two-electrode voltage clamp (TEVC). This is done because the signal to noise is far superior in the current clamp configuration compared to TEVC, allowing clear determination of the magnitude of the effect of PhTx on mEPSP amplitude. In both ppk1Minos and ppk1LR EPSC amplitudes remain significantly reduced by 40% compared to baseline in the absence of PhTx (Figure 1D, E; p<0.01 for each genotype comparing the presence versus absence of PhTx). Thus, PHP is blocked in ppk1LR at physiological extracellular calcium.
We note that the ppkLR and ppk1Minos mutations have significant differences in baseline neurotransmission compared to wild type. In these mutants, there is a significant increase in mEPSP amplitude compared to wild type (Figure 1C; p<0.01), no change in EPSP amplitudes compared to wild type (Figure 1C; p>0.1) and a significant reduction in quantal content compared to wild type (Figure 1C; p<0.01). Several points are worth emphasizing. First, the block in presynaptic homeostasis following loss of ppk1 occurs whether or not there is a baseline decrease in quantal content. Specifically, expression of UAS-ppk1-RNAi in motoneurons blocks presynaptic homeostasis without a parallel change in mEPSP amplitude or quantal content (p>0.1; see below for additional analyses of UAS-ppk1-RNAi). It is possible that ppk1 has an additional postsynaptic function that influences baseline neurotransmission (see below for ppk1 expression pattern). Second, the observation that quantal content is reduced in the ppkLR mutation suggests that homeostatic depression of presynaptic release may have occurred to offset the observed increase in baseline mEPSP amplitude (Daniels et al., 2004; Gaviño et al., 2015). The possible induction of homeostatic depression is unlikely to be the cause of impaired homeostatic potentiation because we recently demonstrated that PHP is unaffected by the prior induction of homeostatic depression (Gaviño et al., 2015).
PHP can also be induced by the genetic deletion of the non-essential GluRIIA subunit of the postsynaptic glutamate receptor, which causes a ~50% decrease in mEPSP amplitude. In this experiment, the NMJ lacks the GluRIIA subunit throughout larval development and, therefore, this experiment has been interpreted to reflect the sustained expression of PHP (Frank et al., 2006; Younger et al., 2013). We recombined the ppk1 null mutation (ppkLR) with the GluRIIA mutation and quantified synaptic transmission (Figure 2). We find that the homeostatic potentiation of quantal content is blocked in the double mutant (p>0.1, comparing ppkLR to GluRIIA, ppkLR). Thus, a second independent assay confirms that the ppk1 gene is necessary for PHP. Taken together, we conclude that ppk1 is essential for both the rapid induction and sustained expression of presynaptic homeostatic plasticity.
Figure 2. ppk1 is required for the sustained expression of PHP.

A) Representative traces for the indicated genotypes (0.3mM calcium).
B) Quantification of PPK1 protein levels comparing wild type with GluRIIA. The bottom two panels show the specificity of anti-PPK1 antibody. There is no band present in the PPkLR null mutant. Six biological replicates were performed and total protein signal intensity was averaged. Data are presented as the average ± SEM. There is a significant increase in PPK1 protein in GluRIIA mutants (p<0.01). Comparisons were made with Student’s t-test.
C) Quantification of mEPSP, EPSP, and QC for the indicated genotypes. Average mEPSP amplitude is significantly reduced in the presence of the GluRIIA mutant (p<0.01). The ppkLR, GluRIIA double mutants do not show a significant increase QC compared to ppkLR mutants alone (n.s.; p=0.15). Recordings were performed at 0.3mM [Ca2+]e. Data presented as average ± SEM. Comparisons (either wild type to GluRIIA or ppkLR to the ppkLR, GluRIIA double mutant) were made with a Student’s t-test.
D) The wild type and ppkLR NMJ stained with anti-HRP to label the presynaptic membrane (blue), anti-Brp to label the active zone (green) and anti-Dlg to label postsynaptic muscle membranes (magenta). The white box indicates the area shown at higher magnification below at the indicated magnification. There were no significant differences observed comparing wild type and ppkLR mutants for 1s bouton number (p=0.41; N=9 for wild type and ppkLR), 1B bouton number (p=0.46; N=9 for wild type and ppkLR), total bouton number (p=0.28; N=9 for wild type and ppkLR) or active zone number (p=0.66; N=9 for wild type and ppkLR). Comparisons were made with a Student’s t-test.
Finally, we asked whether impaired PHP is a secondary consequence of altered NMJ morphology. We stained the NMJ of wild type and ppkLR mutants using anti-HRP to mark the presynaptic membrane, anti-Bruchpilot (Brp) to stain presynaptic active zones and anti-Discs Large (Dlg) to label the postsynaptic muscle membranes (muscles 6/7). Qualitatively, there is no change in the appearance of the NMJ in ppkLR (n=9) compared to wild type (n=9) (Figure 2 D). Quantification of bouton number (abdominal segments 2 and 3) reveals no change (p>0.1) in total bouton number at the NMJ comparing wild type (158.89 ± 9.08) with ppkLR (151.67 ± 13.53). There is also no difference in bouton number when comparing the type1b and type1s boutons between wild type and ppkLR (wild type 1s = 80±5.2; ppkLR type 1s = 77±8.8; p>05, N=9; wild type 1b=83±5.7, ppkLR 1b=74±15; p>0.5, N=9). Furthermore, quantification of active zone number (average number of Brp puncta per NMJ) demonstrates no change in this parameter (p>0.5, N=9) comparing wild type (976.67 ± 56.13) with ppkLR (1027.33 ± 55.08). From these data, we conclude that impaired PHP in the ppk1 mutant is not a secondary consequence of impaired anatomical NMJ development.
Elevated PPK1 protein levels during the sustained expression of PHP
A previously generated PPK1 antibody works well on Western (Gorczyca et al., 2014) and has allowed us to determine whether PPK1 protein levels respond to the persistent induction of PHP. We assayed PPK1 protein levels by Western Blot, using the larval central nervous system as a tissue source. We find a significant increase in PPK1 protein levels in the GluRIIA mutant compared to controls (Figure 2B; p<0.01). Thus, PPK1 protein is induced during long-term PHP. We propose that increased PPK1 protein is necessary to sustain the expression of PHP for prolonged periods of time. These data are consistent with previously published data demonstrating an ~400% increase in the transcription of the ppk11 and ppk16 genes during sustained PHP (Younger et al., 2013). However, it was never possible to generate antibodies to either PPK11 or PPK16. These data are evidence for enhanced protein expression for a presynaptic effector of PHP.
ppk1 is necessary in motoneurons for the expression of PHP
Using a combination of tissue-specific RNAi and genetic rescue, we demonstrate that ppk1 is necessary in motoneurons for PHP. First, as a control, we demonstrate normal PHP in the heterozygous OK371-GAL4 line following application of PhTx (Figure 3A–C) (p<0.05). Next, when UAS-ppk1-RNAi is driven in motoneurons by OK371-GAL4, we show that PhTx-dependent PHP is blocked (p>0.1, comparing UAS-ppk1-RNAi/ OK371-GAL4 in the presence versus absence of PhTx). Furthermore, neither muscle-specific expression of UAS-ppk1-RNAi using BG57-GAL4, nor trachea-specific expression of UAS-ppk1-RNAi with btl-GAL4 had any effect on PHP, emphasizing a motoneuron-specific function of ppk1 during PHP (see Supplemental Table 1). Importantly, as noted above, neuronal expression of UAS-ppk1-RNAi does not alter baseline transmission but does block PHP. These data support the conclusion that ppk1 has a specific role during PHP, separable from any effect on baseline neurotransmission that is observed in the ppk1 mutant background.
Figure 3. ppk1 is required in motoneurons for PHP.

A) Representative traces for the indicated genotypes, 0.3mM [Ca2+]e.
B–C) Quantification of average mEPSP and QC in the absence (−PhTx) and presence (+PhTx) of PhTx. In control (OK371-GAL4/+), QC is significantly increased in the presence of PhTx (p< 0.01). Motoneuron specific expression (OK371-GAL4/+) of UAS-ppk1-RNAi prevents a homeostatic increase in QC in the presence of PhTx (n.s.; p=0.16). QC is significantly increased in the ppkLR mutant when a ppk1-GFP transgene was expressed under the control of the endogenous ppk1 promoter fragment (p<0.01; ppk1 promoter rescue). Rescue of PHP is also observed when UAS-ppk1-GFP expression is driven by the neuron-specific C155-GAL4 (p<0.01). Recordings were performed at 0.3mM [Ca2+]e. Data presented in average ± SEM. Comparisons (+/− PhTx for a given genotype) were made with a Student’s t-test.
Next, we performed genetic rescue of the ppkLR mutant. We neuronally expressed a UAS-ppk1-GFP transgene in the PPKLR mutant using the neuron-specific C155-GAL4 driver. We find that PHP is fully rescued (Figure 3 A–C; p<0.01 compared to baseline). We also performed genetic rescue using an endogenous ppk1 promoter fragment fused to ppk1-GFP (1kb fragment of the ppk1 promoter; ppk1>ppk1-GFP (Gorczyca et al., 2014). Again, PHP is fully restored (Figure 3 A–C; ppk1 promoter rescue; p<0.01). These data, when combined with the results of motoneuron-specific RNAi, demonstrate that ppk1 is endogenously expressed in motoneurons where it functions to drive expression of PHP.
Genetic and biochemical evidence that PPK1 functions in concert with PPK11 and PPK16 as part of a presynaptic Deg/ENaC channel
We have pursued both genetic and biochemical evidence in support of the hypothesis that PPK1 functions with PPK11 and PPK16 as part of a heterotrimeric ENaC channel, necessary for PHP. First, we pursued genetic interaction experiments. Since each individual ppk gene mutation fully blocks PHP, without a profound effect on baseline transmission, a double mutant analysis is not informative. However, trans-heterozygous genetic interaction experiments have been used previously to implicate multiple homeostatic plasticity genes in a common presynaptic process (Younger et al., 2013; Harris et al., 2015; Wang et al., 2015). Here, we demonstrate that PHP is robustly expressed in the heterozygous ppk1LR/+ mutant (Figure 4A, B). We then confirm that PHP is normal in animals harboring a small heterozygous deficiency that uncovers both the ppk11 and ppk16 genes (Younger et al., 2013). However, when we test animals harboring both a heterozygous ppkLR /+ mutation and a heterozygous ppk11-ppk16/+ deficiency, we find that the homeostatic enhancement of presynaptic release is blocked (Figure 4A, B; p>0.1). These data argue that the ppk1 gene functions together with the ppk11 and ppk16 genes during PHP, potentially as subunits of a single Deg/ENaC channel. But, biochemical evidence is necessary to confirm that all three proteins physically interact.
Figure 4. Genetic and Biochemical Interactions of PPK1, PPK11 and PPK16.

A) Representative mEPSP and EPSP traces from indicated genotypes in the absence and presence of PhTx. Recordings were performed at 0.3mM [Ca2+]e.
B) Averaged mEPSP and quantal content for genotypes in A. In all genotypes, mEPSP amplitudes were reduced by ~50% in the presence of PhTx (p<0.01; Student’s t-test). Heterozygous mutations (ppk1/+ and a double heterozygous mutant for ppk11/+ and ppk16/+) do not disrupt PHP and an increase in quantal content is observed.
C) Transgenes for ppk16-Venus, ppk1-Flag and ppk11-αBt were co-expressed in Drosophila larvae under the control of Actin-Gal4. PPK1-Flag coimmunoprecipitates PPK16-Venus and PPK11-αBt, when co-expressed.
D) Transgenes for ppk16-Venus and ppk11-Flag were co-expressed in Drosophila larvae under the control of Actin-Gal4. PPK16-Venus coimmunoprecipitates endogenous PPK1 and transgenically expressed PPK11-Flag.
E) Transgenes for ppk16-Venus and ppk11-Flag were co-expressed in Drosophila larvae under the control of Actin-Gal4. Using a PPK1 antibody, endogenous PPK1 coimmunoprecipitates transgenically expressed PPK16-Venus and PPK11-Flag. A nonspecific band is present in all lanes (see text for additional commentary).
An antibody to PPK1 (Gorczyca et al., 2014) enabled us to test the physical interaction of the PPK1, PPK11 and PPK16 proteins in vivo. First, UAS-ppk16-Venus was co-expressed with UAS-ppk11-FLAG using a ubiquitous GAL4 driver (actin-GAL4) (Figure 4D). We immuno-precipitated PPK16-Venus and tested for co-immunoprecipitation of both PPK11-FLAG and, independently, PPK1. We find that PPK16-Venus efficiently co-immunoprecipitates both PPK11 and PPK1, consistent with a physical interaction of these three ENaC channel subunits (Figure 4D). We then confirmed the specificity of this pull-down experiment by doing it in reverse. We immunoprecipitated endogenous PPK1 with the PPK1 antibody and demonstrate efficient co-immunoprecipitation of both PPK11-FLAG and PPK16-Venus (Figure 4E). Note that each time we performed this experiment, we observed that the PPK1 antibody pulled down a background band that is immunoreactive with the FLAG antibody. This band is present in every control condition, even in the absence of the UAS-ppk16-Venus or UAS-ppk11-FLAG transgenes. Thus, this background band is not specific to our inquiry. Finally, we performed a third test of this interaction. Instead of using the PPK1 antibody, we repeated the triple pull-down experiment using a third transgene, an alpha-bungarotoxin binding site tagged ppk11 transgene (UAS-ppk11-αBt). We co-expressed UAS-ppk16-Venus, UAS-ppk1-FLAG, and UAS-ppk11-αBt using actin-GAL4. Once again, we demonstrate that PPK1-FLAG co-immunoprecipitates both PPK11-αBt and PPK16-Venus (Figure 4C). Taken together with our functional genetic interaction data, these biochemical experiments argue strongly that PPK1 is part of a heterotrimeric Deg/ENaC channel that is essential for the expression of PHP.
PPK1 is acutely required for the expression of PHP
To this point, our data support the conclusion that PPK1 is part of a heterotrimeric Deg/ENaC channel that is necessary for PHP. If so, then the ppk1 locus should be required for the pharmacological sensitivity of PHP to the ENaC channel antagonist Benzamil. At the wild type NMJ, Benzamil (50 μm) blocks the expression of PHP and this effect requires both the ppk11 and the ppk16 genes (Younger et al., 2013). First, we confirmed that the expression of PHP is blocked by benzamil application following the induction of PHP (Figure 5). We then demonstrate that the ppk1LR mutant does not express PHP and is insensitive to any further action of benzamil (Figure 5). We then demonstrate that motoneuron-specific rescue of the ppk1LR mutant with UAS-ppk1-GFP not only restored PHP, but restores the benzamil sensitivity of presynaptic release. These data are further evidence that PPK1 functions acutely as a required third subunit of the presynaptic Deg/ENaC channel necessary for PHP.
Figure 5. PPK1 is necessary for the benzamil-sensitive induction of PHP.

A) Representative traces for indicated genotypes and treatments. All preparations were pre-incubated for 10 minutes in PhTx (+PhTx). After PhTx incubation, mEPSP and EPSP were recorded from Muscle 6. Benzamil was applied to the preparations through perfusion for 10 minutes (+Benzamil) and mEPSP and EPSP were recorded a second time from the same muscle.
B) Quantification of mEPSP, EPSP, and quantal content for indicated genotypes and treatments for conditions shown in (A) (**p<0.001; Student’s t-test).
PPK1 protein traffics to the presynaptic terminal
Previously published data argued that the Deg/ENaC channel that controls PHP is likely to localize at or near the nerve terminal, but there has been no histological evidence to support channel localization at this site. First, we drove ppk1-GFP under the control of the endogenous ppk1 promoter (ppk1>ppk1-GFP). This condition reveals muscle, trachea and nerve terminal PPK1 staining in the ppkLR mutant background (Figure 6A). In this experiment, PPK1 puncta can be clearly observed in the motoneuron cell body and presynaptic boutons (Figure 6B). However, PPK1 staining in the trachea and muscle overlap with the NMJ, making it difficult to clearly asses protein distribution at the NMJ, consistent with the existence of other PPK subunits expressed in muscle (Hill et al., 2017). Therefore, we over-expressed UAS-ppk1-GFP presynaptically (C155-GAL4) in the ppkLR mutant background and stained with the anti-GFP antibody to increase signal intensity. Since this transgene rescues PHP in the ppkLR mutant background, the distribution of overexpressed presynaptic PPK1 protein should reflect, at least in part, the endogenous protein localization. We find that presynaptic PPK1-GFP resides in small puncta that are distributed at the bouton periphery, at or near the presynaptic plasma membrane delineated by anti-HRP (Figure 6C). All images are single confocal slices rather than Z projections of an image stack. We then assessed co-localization of PPK1 puncta with the active zone marker anti-Brp (Supplemental Figure 1). We find that PPK1 puncta reside in close proximity to many, but not all, Brp puncta and there is no indication of protein co-localization. Taken together, these data support the conclusion that ppk1 is endogenously expressed in muscle, trachea and motoneurons. Our data confirm that PPK1 is present within the presynaptic nerve terminal where it could reasonably function as a required subunit of the ENaC channel that includes PPK11 and PPK16.
Figure 6. PPK1 labeling is present at the Drosophila NMJ.

A) Expression of ppk1-GFP driven by the endogenous ppk1 promoter in the ppkLR mutant background (stained with anti-GFP). Images show the distribution of PPK1 protein visualized by anti-GFP staining (green). The motoneuron membrane is visualized by anti-HRP (blue). The white box highlights a region shown at higher magnification to the right. Arrowheads indicate trachea.
B) Evidence that PPK protein (PPK1-GFP, green) can be visualized in a domain that overlaps presynaptic boutons (anti-HRP, blue) and the soma of motoneurons when PPK1-GFP (arrowhead) is expressed under the control of the ppk1 promoter (ppk1>PPK1-GFP).
C) Expression of UAS-ppk1-GFP in the ppkLR mutant background shows localization of PPK1 protein (green) within the presynaptic terminal, defined by anti-HRP (blue). PPK1-GFP can be found at the periphery of individual boutons, at or near the membrane. All images are single confocal slices (~0.3um).
PPK1 is required for the homeostatic expansion of the readily releasable pool of synaptic vesicles
Although it has been clearly demonstrated that the size of the readily releasable pool of vesicles (RRP) scales sub-linearly with the concentration of extracellular calcium at both mammalian (Thanawala and Regehr, 2013) and Drosophila synapses (Muller et al., 2015), it has never been determined whether the ENaC-dependent change in presynaptic calcium influx that occurs during PHP is responsible, in part, for the expansion of the readily releasable pool of vesicles that is also observed during PHP. We now connect the dots.
We measured the RRP of the ppk1 null mutant (−/+ PhTx). Measurement of the RRP was calculated following repetitive nerve stimulation of 60 Hz (30 stimuli) at 1.5 mM Ca2+ according to published methods (Schneggenburger et al. 1999; Muller et al, 2014). When PhTx is applied to the wild type NMJ we observe an expansion of the RRP (Figure 7A, B). Specifically, the measured cumulative EPSC is maintained at a constant level despite the significant reduction of mEPSP amplitudes by ~50%. When this experiment is repeated in the ppk1LR null mutant, the cumulative EPSC is decreased in proportion to the ~50% decrease in mEPSP amplitude caused by PhTx application. As a consequence, there is no expansion of the estimated RRP in this mutant. Thus, a PPK presynaptic ENaC channel is not only necessary for a PHP-dependent increase in presynaptic calcium influx (Younger et al., 2014), but is also requried for the subsequent expansion of the readily releasable vesicle pool. These data serve to unify several observations in the field and define the PPK1/PPK11/PPK16-containing presynaptic ENaC channel as a core mechanism responsible for PHP.
Figure 7. PPK1 is required for the homeostatic expansion of the readily releasable pool of synaptic vesicles.

A) Representative traces from indicated genotypes in the absence and presence of PhTx. Voltage clamp recordings were performed at 1.5mM [Ca2+]e, stimulation frequency 60Hz.
B) Averaged mEPSP, cumulative EPSC, and calculated RRP size for genotypes in (A). The change of the RRP in response to PhTx application is reported by averaged percent increase of the RRP in genotypes treated with PhTx compared to baseline physiology. (n.s. p>0.1; Asterisk p<0.002; Student’s t-test).
Loss of PPK1 causes and age-dependent decline in motor function
Currently, there is very little information about whether PHP participates in behavioral, age-related motor decline. To address this, we assessed lifespan comparing wild type controls to the PPK1LR mutant and find that there is not a dramatic change (GW Davis, unpublished data). Next, to assess an age-dependent decline in motor function, we assayed negative geotaxis, which is a strong innate behavior in Drosophila (Supplemental Figure 2). We chose to assess negative geotaxis at two time points, one day after adult eclosion and 30 days after eclosion. The 30 day time point was chosen because it is approximately mid-lifespan for both wild type and PPKLR when raised at 25°C. It has been demonstrated that age-related motor-defects can be observed in other mutant backgrounds at 20 days post eclosion (Liu et al., 2015), so we are within an appropriate time window to observe a phenotype. Finally, by assessing behavior at mid-life, animal viability is not yet a confound.
We compared three genotypes: wild type controls, PPK1LR mutants and animals in which PPK1 expression is knocked down selectively in motoneurons using OK371-Gal4 driving expression of UAS-PPK1-RNAi. All three genotypes showed robust negative geotaxis when assayed one day after adult eclosion. When re-tested 30 days post eclosion, the PPK1LR mutants revealed a consistent deficit in negative geotaxis compared to wild type. However, motoneuron knockdown of PPK1, sufficient to block PHP, had no effect on negative geotaxis at this time point. From these data we conclude that loss of PPK1 in a tissue other than motoneurons contributes to an age-related decline in motor function. This cannot be attributed to PHP at the neuromuscular junction. It is possible that there is an age-related induction of PHP within the central nervous system that is PPK1 dependent. Alternatively, the loss of PPK1 is peripheral sensory neurons could impair sensory feedback, unrelated to homeostatic plasticity, and create an age-dependent decline in motor function.
DISCUSSION
Deg/ENaC and ASIC ion channels are expressed throughout the mammalian central and peripheral nervous systems, being implicated in learning related plasticity and the response to physiological stress (Du et al., 2014; Kreple et al., 2014; Cho and Askwith, 2008; Giraldez et al., 2013; but see Wu et al., 2013). But, given that ENaC channels have potent activities to control cellular physiology in tissues as diverse as the kidney, lung and colonic epithelium, it seems likely that we are only scratching the surface with respect to ENaC and ASIC channel function in the nervous system. Furthermore, even in those systems where ENaC channels are a focus of significant research, there remains much to learn about the regulatory mechanisms that control channel expression, trafficking and surface retention (Boscardin et al., 2016).
In this study, we define the subunit composition of a Drosophila ENaC channel and demonstrate that this channel may be the central effector that is responsible for the expression of presynaptic homeostatic plasticity (PHP) at the neuromuscular junction.
An emerging model for ENaC channel regulation during PHP
The ENaC channel that controls PHP appears to be subject to exquisite post-translational control. First, the channel is either prevented from reaching the plasma membrane or is rendered inactive under baseline conditions. Neither pharmacological inhibition of the channel (Younger et al., 2013) nor mutations of any of the three subunits influences baseline presynaptic release. Second, ENaC channel activity is induced in seconds to minutes at the isolated NMJ, implying that the channel is either rapidly transferred to the plasma membrane or is activated at that site (Younger et al., 2013). Third, PHP is a rheostat-like process, adjusting release to the precise level of GluR inhibition (Frank et al., 2006; Davis, 2013; Davis and Muller 2015). The number of active ENaC channels on the plasma membrane must be precisely controlled to achieve this effect. Fourth, PHP can be sustained for weeks in Drosophila and decades in human (Muller and Davis, 2015 for review). This implies, at least in Drosophila, that the number of active ENaC channels on the plasma membrane is precisely maintained. It will be of great interest to define the regulatory mechanisms that achieve such speed and precision.
By analogy with other systems such as ENaC channel trafficking in the collecting duct of the kidney, and the control of Glut4 surface expression, three types of post-translational control could be employed to regulate ENaC channel levels at the NMJ during PHP (Butterworth, 2010; Leto et al., 2012). First, there appears to be potent mechanisms to sequester intracellular ENaC channels, effectively preventing them from reaching the plasma membrane. The efficiency of this system is emphasized by the fact that over-expression of a hyper-active ENaC channel in Drosophila motoneurons is without effect (Orr and Davis, unpublished observation). Second, there must be efficient forward trafficking of ENaC channels to the plasma membrane to enable the rapid induction of PHP. Third, regulated recycling of the ENaC channels would be necessary to precisely maintain levels of the channel, given that channel residency is estimated to be as short as 20–30 minutes in other systems (Hanwell et al., 2002; Kabra et al., 2008). If these regulatory systems exist, the induction of PHP would require dis-inhibition of internal sequestration followed by the engagement of forward trafficking mechanisms (Butterworth, 2010; Leto et al., 2012). Alternatively, there could be mechanisms that restrict forward trafficking of ENaC channels to the membrane, and these mechanisms would have to be disabled (Butterworth, 2010; Leto et al., 2012). The trigger for the induction of PHP might immediately act upon these processes. The feedback signaling system that tunes PHP to precise levels would presumably act upon the ENaC channel recycling mechanism, controlling the number of active ENaC channels on the synaptic plasma membrane. Together, these represent testable models for PHP induction and expression.
ENaC channel diversity based upon co-assembly of diverse PPK subunits
The discovery that PPK1 is an essential component of a presynaptic ENaC channel expressed in motoneurons is surprising. Prior to this, PPK1 was thought to function primarily in the dendrites of peripheral multi-dendritic sensory neurons. ppk1 is highly expressed in peripheral sensory neurons and the GFP ppk1-promoter fusion line revealed high expression in these cells (Gorczyca et al., 2014). It is now apparent that ppk1 is also expressed at lower levels in muscle, trachea and motoneurons based on experiments with the GFP ppk1-promoter fusion line and the results of our genetic rescue and ppk1-RNAi experiments in motoneurons.
In peripheral sensory neurons, PPK1 has been shown to function as part of a mechanosensitive ion channel that is believed to be orthologous to C. elegans DEG/ENaC mechanosensors (Gorczyca et al., 2014; Guo et al., 2014). However, PPK1-containing channels that are expressed in Drosophila peripheral sensory neurons can also be gated by low pH, suggesting a parallel with acid-sensitive ion channels (ASIC) that are expressed in mammalian peripheral sensory neurons and implicated in neuropathic pain (Boiko et al., 2012; Deval et al., 2011). There is, as yet, no evidence that PHP at the NMJ is induced by either mechanical or pH-dependent stimuli. PHP can be maximally induced in a relaxed NMJ preparation in the absence of action-potential induced muscle contraction (Frank et al., 2006). Similarly, there is no evidence for low pH participating in the induction of PHP. Acid-sensitive currents are generally transient events with rapid inactivation, including those identified by ppk1 in class IV md sensory neurons (Boiko et al., 2012). This is in contrast to the requirement for a robust, sustained ENaC-mediated effect during the sustained expression of PHP, which can persist for weeks in adult Drosophila (Mahoney et al., 2014; Younger et al., 2013). Thus, the demonstration that PPK1 incorporates into DEG/ENaC channels with diverse physiological activities highlights the potential for tremendous DEG/ENaC channel diversity in Drosophila.
There are 31 PPK genes expressed in Drosophila that have been categorized into five sub-classes (Zelle et al., 2013). While it has been speculated that PPK genes co-assemble within subclasses, this does not seem to be the case given that PPK1 (subclass 5) appears to function with PPK11/16 (subclass 4) in motoneurons. There are other examples that suggest heterologous assembly including evidence that PPK11 (subclass 4) functions with PPK19 (subclass 3) (Liu et al., 2003) and that PPK23 (subclass 6) functions with PPK29 (subclass 1) (Mast et al., 2014). As the subunit composition of ENaC channels in Drosophila is gradually resolved, we may discover the underlying rules for channel diversity and function base of PPK subunit composition (Zelle et al., 2013). Interestingly, there are hints that mammalian ASIC and non-acid sensing ENaC channel subunits can co-assemble, thereby providing the potential for significant channel diversity in mammals as well (Meltzer et al., 2007).
EXPERIMENTAL PROCEEDURES
Fly Stocks and Genetics
In all experiments, the w1118 strain was used as the wild type control, including both male and females. Animals were maintained at 22°C. Progeny were raised at 25°C when performing rescue or over expression experiments with the GAL4/UAS expression system. The following Drosophila stocks were used: ppkMinos (Mi{MIC}ppkMI04968, Bloomington 38075), ppkLR (Boiko et al., 2012), GluRIIA (Petersen et al., 1997), Df(2l)BSC240 (PPK deficiency, Bloomington 9715), OK371-GAL4 (Mahr and Aberle, 2006), C155-GAL4 (Lin and Goodman, 1994), BG57-GAL4 (Budnik et al., 1996), btl-GAL4 (Ohshiro and Saigo, 1997), Actin-GAL4 (Gaumer et al., 2000), UAS-ppk1-RNAi (Xu et al., 2004), UAS-ppk1-GFP (Jan Lab, UCSF), ppk1>ppk1-EGFP (Gorczyca et al., 2014), UAS-ppk1-Flag (Boiko et al., 2012), UAS-ppk11-Flag, UAS-ppk11-αBt and UAS-ppk16-Venus (all generated for this study according to standard methods using Gateway technology and outsourced to BestGene for transgenesis).
Electrophysiology
Recordings were made from muscle 6 in abdominal segments 2 and 3 of third-instar larvae (Frank et al., 2006; Muller et al., 2012); Haemolymph-like (HL3) saline (70 mM NaCl, 5 mM KCl, 10 mM MgCl2, 10 mM NaHCO3, 115 mM sucrose, 4.2 mM trehalose, 5 mM HEPES). For acute pharmacological induction of PHP, larvae were incubated in philanthotoxin-433 (PhTx; 10–20 μM; Sigma-Aldrich) for 10 min before assaying synaptic transmission, according to previously published methods (Frank et al., 2006; Muller et al., 2012). EPSC train analyses were conducted using custom-written routines for Igor Pro 5.0 (Wavemetrics) (Gaviño et al., 2015), and mEPSPs were analyzed using Mini Analysis 6.0.0.7 (Synaptosoft).
Anatomical analysis
The following primary antibodies were used: anti-GFP 3E6 (1:500; mouse; Life Technologies), anti-GFP (1:100; rabbit; Thermo-Scientific), anti-NC82 (1:100; mouse; Developmental Studies Hybridoma Bank) and anti-DLG (1:10,000; rabbit). Alexa-conjugated secondary (488, 555) antibodies and Cy5-conjugated goat ant-HRP were used at 1:500 (Life Technologies; Molecular Probes). Larval preparations were mounted in Vectashield (Vector) and imaged with an Axiovert 200 (Zeiss) inverted microscope, a 100X Plan Apochromat objective (1.4 NA) and a cooled charge-coupled device camera (Coolsnap HQ, Roper). Slidebook 5.0 Intelligent Imaging Innovations (3I) software was used to capture, process and analyze images. Motor neuron cell bodies located in the Drosophila CNS were imaged with a Yokagawa CSU22 spinning disk confocal with a 60X oil objective (Nikon).
Biochemistry and Western Blot
Western blots of PPK1 protein levels using anti-PPK1 (1:3,000 rabbit; (Gorczyca et al., 2014) in wild type and GluRIIA were performed by dissecting three brains from each genotype and placing in sample buffer for cell lysis. Samples were boiled for 10 min and run on a NuPage 4–12% Bis-Tris protein gel (Life technologies). After protein transfer to a cellulous membrane (BioRad), PPK1 was blotted with affinity purified PPK1 antibody (Rabbit) and anti-B-Tubulin (Rabbit). Band intensities were analyzed with ImageJ.
The co-immunoprecipitation (CoIP) of PPK channel subunits was performed as follows. UAS-ppk16-Venus and UAS-ppk11-FLAG were expressed in vivo with the ubiquitous Actin-GAL4 driver and immunoprecipitations were performed using whole larva cell lysate with anti-GFP-3E6 (1:500; mouse; Life technologies) and protein G beads. Endogenous PPK1 was immunoprecipitated using whole larva cell lysate with anti-PPK1 (2ug/ul; Rabbit) and protein A beads.
UAS-ppk16-Venus, UAS-ppk1-FLAG and UAS-ppk11-αBt were expressed in vivo with the ubiquitous Actin-GAL4 driver and immunoprecipitation of PPK-Flag was performed with anti-FLAG (2ug/ul;Mouse, Sigma Aldrich). Separate western blots were performed from the pulldown sample, where anti-GFP (mouse; Clone N86/8; UC Davis/NIH NeuroMab Facility), anti-FLAG (Sigma Aldrich), α-Bungarotoxin, Alexa Fluor® conjugate (ThermoFisher Scientific) and anti-PPK1 antibodies were used to blot for each protein of interest. All protein detection was performed with HRP substrate Peirce Chemiluminescent (Life Technologies) or Fluorophore detection.
Supplementary Material
Acknowledgments
We thank Ozgur Genc and Ryan Jones for comments on the manuscript. We thank Amy Tong for technical help. This work was supported by NIH grant R01NS39313 and R35NS097212 to GWD and NIH R37NS040929 (to YNJ).
Footnotes
Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.
AUTHOR CONTRIBUTIONS: M.Y. performed the screen in figure 1. B.O.O. conducted the remainder of experiments inclusive of data collection and analysis. D.G. and Y-N.J. provided unpublished reagents and provided feedback on the manuscript text. B.O.O. and G.W.D. wrote the text.
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