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. 2005 Mar;169(3):1477–1493. doi: 10.1534/genetics.104.036558

Seizure Suppression by Gain-of-Function escargot Mutations

Daria S Hekmat-Scafe *,†,1, Kim N Dang ‡,2, Mark A Tanouye *,
PMCID: PMC1449553  PMID: 15654097

Abstract

Suppressor mutations provide potentially powerful tools for examining mechanisms underlying neurological disorders and identifying novel targets for pharmacological intervention. Here we describe mutations that suppress seizures in a Drosophila model of human epilepsy. A screen utilizing the Drosophila easily shocked (eas) “epilepsy” mutant identified dominant suppressors of seizure sensitivity. Among several mutations identified, neuronal escargot (esg) reduced eas seizures almost 90%. The esg gene encodes a member of the snail family of transcription factors. Whereas esg is normally expressed in a limited number of neurons during a defined period of nervous system development, here normal esg was expressed in all neurons and throughout development. This greatly ameliorated both the electrophysiological and the behavioral epilepsy phenotypes of eas. Neuronal esg appears to act as a general seizure suppressor in the Drosophila epilepsy model as it reduces the susceptibility of several seizure-prone mutants. We observed that esg must be ectopically expressed during nervous system development to reduce seizure susceptibility in adults. Furthermore, induction of esg in a small subset of neurons (interneurons) will reduce seizure susceptibility. A combination of microarray and computational analyses revealed 100 genes that represent possible targets of neuronal esg. We anticipate that some of these genes may ultimately serve as targets for novel antiepileptic drugs.


HUMAN seizure disorders are a significant health concern due to the large number of affected individuals, the potentially devastating ramifications of untreated seizure episodes, and the limitations of antiepileptic drug (AED) options. Seizures are caused by insults to the brain such as head injury, electroconvulsive shock, illness, or fever and are manifest as abnormal, high-frequency, rhythmic firing of neuronal populations in the brain (Walton 1989). Seizure susceptibility varies considerably among individuals: some individuals have high seizure thresholds and exhibit seizures only after considerable brain injury, whereas other individuals are especially sensitive and exhibit the spontaneous, recurrent seizures that constitute epilepsy (Sackeim et al. 1987; Walton 1989). An estimated 1–2% of the world's population is affected by epilepsy (McNamara 1999). Epilepsy is most commonly treated by AEDs that provide symptomatic relief for a majority of epileptic patients. However, one-third of patients with chronic epilepsy do not respond to any currently available AED, and many responders continue to experience breakthrough seizures (Schmidt 2002). Most AEDs work by reducing nervous system excitability and can produce toxic side effects (Brodie and Dichter 1996; McNamara 1999). This is a particular problem in children where adverse cognitive and behavioral consequences have been attributed to AEDs (Levene 2002).

Seizure-suppressor genes provide a potentially powerful tool for examining seizure disorders and identifying potential AED targets. Surprisingly, the basic approach of utilizing second-site suppressor mutations has not been extensively exploited for neurological syndromes. The general approach is straightforward: starting with an animal genetic model of neurological syndrome, second-site suppressor mutations are evaluated for their ability to revert the phenotype to wild type. Suppressor mutations are used to identify genes that may provide novel insights into the causes and cures of the syndrome. They can also indicate new targets for pharmacological intervention. Suppressor mutations may be identified by reverse genetics, testing likely candidates by double-mutant analysis as described previously (Kuebler et al. 2001). Additionally, forward genetics mutant screens may be used to discover totally unexpected and novel suppressors as described in this article. Suppressor mutations may be identified in mouse or Caenorhabditis elegans models of human neurological syndromes, but Drosophila models are especially attractive because of the combination of electrophysiology, behavior, genetics, and mass mutagenesis methods available (Benzer 1971; Ashburner 1989; Pavlidis and Tanouye 1995).

Seizure-suppressor genes are identified by mutations that can revert the seizure phenotype in a Drosophila model of epilepsy (Kuebler et al. 2001). The model is based on a collection of mutants that have been found to be especially sensitive to seizures (5–10 times more seizure sensitive than wild-type flies; Kuebler and Tanouye 2000; Kuebler et al. 2001). Seizures are induced by electroconvulsive shock using high-frequency (HF) electrical stimulation (200 Hz stimuli, 300 msec wave train) delivered to the brain of Drosophila. Wild-type flies have a characteristic seizure threshold for HF stimulation (30.1 ± 3.8 V). Thresholds for seizure-sensitive mutants are considerably lower, typically 3–8 V for the most sensitive strains (Kuebler et al 2001). Seizure-sensitive mutants include: easily shocked (eas), which encodes an ethanolamine kinase involved in synthesis of phosphatidyl ethanolamine found in neuronal membranes; slamdance (sda), which encodes an aminopeptidase involved in the processing of some neuropeptides; technical knockout (tko), which encodes a mitochondrial ribosomal protein; jitterbug (jbug), which encodes a Drosophila homolog of filamin, implicated in periventricular heterotopia that presents with epilepsy in humans; bangsenseless (bss), and knockdown (kdn) (Royden et al. 1987; Pavlidis et al. 1994; Zhang et al. 2002; X. Ren and M. Tanouye, unpublished results).

Kuebler et al. (2001) showed that seizure sensitivity can be suppressed by certain Drosophila mutations in double-mutant combinations. Loss-of-function mutations that acted as seizure suppressors were identified for several genes whose products had been previously known to influence nervous system excitability. Thus, mutations that affect voltage-gated Na+ channels, such as paralytic (para) and maleless-no-action-potential (mlenapts; Loughney et al. 1989; Ramaswami and Tanouye 1989; Reenan et al. 2000) are good seizure-suppressor mutations. Other seizure suppressors are Shaker (Sh), which encodes a voltage-gated K+ channel (Baumann et al. 1987; Kamb et al. 1987; Tempel et al. 1987), and shaking-B (shak-B), which encodes a gap junction channel (Krisnan et al. 1993; Crompton et al. 1995). These seizure-suppressor mutations, in double mutant combinations with seizure-sensitive mutations, raise seizure threshold often to wild-type levels (Kuebler et al. 2001).

Here, we describe a mutant screen that allowed us to identify novel gain-of-function seizure suppressors. The screen was based on reversion of the seizure-sensitivity phenotype of eas mutants by ectopic expression of single genes in all neurons. Of several seizure-suppressor genes identified, we focus on escargot (esg), the strongest of the suppressors and a gene not previously implicated in seizure susceptibility. The esg gene is a member of the snail family of transcription factors that are required for mesoderm and nervous system development in arthropods and chordates (Manzanares et al. 2001). Drosophila has three snail family genes, esg, snail (sna), and worniu (wor), that are tightly linked at cytological region 35D and appear to bind to the promoters of an overlapping set of target genes whose transcription they repress (Ashraf et al. 1999). The esg protein contains five Zn2+-finger DNA-binding domains and recognizes the DNA motif A/GCAGGTG (Fuse et al. 1996; Ashraf et al. 1999; Cai et al. 2001). The esg protein also possesses a P-DLS-K domain, which may bind the dCtBP corepressor (Ashraf et al. 1999; Ashraf and Ip 2001). The esg gene is normally expressed in embryonic neuroblasts and contributes to central nervous system (CNS) development (Whiteley et al. 1992; Ashraf et al. 1999). The gene shows functional redundancy with sna and wor: a loss-of-function mutation in esg alone has no effect on the CNS. However, a deletion removing all three genes causes defects in dividing neuroblasts that ultimately leads to a severely underdeveloped ventral nerve cord and the loss of multiple neuronal markers (Ashraf et al. 1999).

We report that ectopic neuronal expression of esg acts as a general seizure suppressor. Expression of esg in all neurons suppresses a variety of seizure-sensitive mutants phenotypically and raises seizure threshold at the electrophysiological level. Developmental time-course experiments reveal that esg must be ectopically expressed during nervous system development to produce adults that are less seizure prone. Microarray analysis revealed 100 genes whose transcription is induced or repressed by neuronal esg. We discuss the possible utility of a dominant, gain-of-function seizure suppressor such as neuronal esg for developing novel treatments for epilepsy.

MATERIALS AND METHODS

Fly stocks:

A list of Drosophila stocks used in this study is given in Table 1. Stocks were maintained on standard cornmeal-molasses medium at room temperature (∼22°). Crosses were performed at 25° unless otherwise specified. Three bang-sensitive (BS) mutations, eas, bss, and sda, are included. The eas gene is located at cytological region 14B and encodes an ethanolamine kinase (Pavlidis et al. 1994). The recessive easPC80 allele carries a frameshift mutation and probably constitutes a null allele. The bss gene is located at 1-54.6 (corresponding to approximately cytological region 12F); its gene product has not been described (Ganetzky and Wu 1982). The bss1 allele is a semidominant mutation. The sda gene is located at 97D and encodes an aminopeptidase (Zhang et al. 2002). The recessive sdaiso7.8 mutation occurs in the 5′-noncoding region and greatly diminishes the level of sda transcript. The genotypes w easPC80 f, w bss1 f, and w sdaiso7.8 are abbreviated as eas, bss, and sda, respectively, in the text. The elav-GAL43A strain was generated by Aaron Di Antonio (UC-Berkeley) by remobilizing the C155 elav-GAL4 enhancer trap insert to a new position on the third chromosome; D241 was provided by Julie Simpson. GeneSwitch is a conditional, RU486-dependent GAL4-progesterone fusion protein. elav-GeneSwitch is the insertion of an elav-GeneSwitch expression construct, pP{ELAV-GeneSwitch}, into the third chromosome (Osterwalder et al. 2001) and was provided by Tom Osterwalder and Haig Keshishian (Yale University). The Enhancer P stock collection has been described previously (rth 1996). We obtained the 1878 EP(2) and EP(3) lines screened in this study from the Szeged Drosophila Stock Center in Hungary. When the CyO second chromosome balancer had been lost from a stock of interest, a balanced EP(2) line was regenerated by crossing the w; EP(2) males to females from a w; nocSco/CyO stock (obtained from Todd Laverty, UC-Berkeley) and, subsequently, crossing w; EP(2)/CyO male and female progeny of this cross to establish a balanced stock. The UAS-esg(II) and UAS-sna#61 insertions (Fuse et al. 1999) were obtained from Shigeo Hayashi and are referred to in the text as UAS-esg and UAS-sna. D544 was produced by crossing the w y; UAS-esg males to w; nocSco/CyO females and, subsequently, crossing w; UAS-esg/CyO male and y w/w; UAS-esg/CyO female progeny of this cross and, finally, crossing a few w; UAS-esg/CyO progeny of this second cross to establish a balanced stock. D546 was produced by crossing the w; UAS-sna males to w; TM3/TM6B females and, subsequently, crossing w; UAS-sna/TM6B male and female progeny of this cross to establish a balanced stock. The esg35ce-1 allele is a loss-of-function mutation in the esg gene, whereas Df(2L)osp29 is a deletion that removes all three snail family genes (esg, wor, and sna) in cytological region 35D. Stocks 3900 and 3078 were obtained from the Bloomington Drosophila Stock Center. The Cha-GAL4, OK-6-GAL4, and G15-GAL4 drivers were obtained from Brian McCabe (UC-Berkeley). In larvae, the Cha-GAL4 enhancer trap drives expression in interneurons (Salvaterra and Kitamoto 2001); OK6-GAL4 drives it in all motoneurons, salivary glands, wing discs, and a subset of tracheal branches (Aberle et al. 2002), and G14-GAL4 drives expression in all somatic muscles and salivary glands (Aberle et al. 2002). All three insertions are located on the second chromosome; the G14-GAL4 insertion is homozygous lethal. D255, D257, and D258 were produced by independently crossing the w; Driver-GAL4 males to w; nocSco/CyO females and, subsequently, crossing the corresponding w; Driver-GAL4/CyO male and female progeny of this cross to establish a balanced stock.

TABLE 1.

Drosophila stocks

Stock no. Genotype
D502 w easPC80 f; elav-GAL43A
D241 w; elav-GAL43A
MR047 w easPC80 f
MR068 w bss1 f
U036 w; SM5 Cy; TM3/apXa
D547 w; SM5 Cy; sdaiso7.8/apXa
D512 w; elav-GAL43A sdaiso7.8
D510 w bss1 f; elav-GAL43A
EP633 w; esgEP633/CyO
EP2009 w; esgEP2009/CyO
EP684 w; esgEP684/CyO
EP2408 w; esgEP2408/CyO
EP2159 w; esgEP2159/CyO
EP683 w; esgEP683/CyO
D544 w; UAS-esg(II)/CyO
D546 w; UAS-sna#61/TM6B
3900 b1 esg35Ce-1 l(2)CA61VS pr1 cn1 bw1/SM5 Cy
3078 Df(2L)osp29, AdhUF osp29 pr1 cn1/CyO
D533 w easPC80 f; esgEP2009/SM5 Cy; elav-GeneSwitch
D552 w easPC80 f; esgEP684/CyO
D255 w; Cha-GAL4
D257 w; OK6-GAL4
D258 w; G14-GAL4/CyO

Behavioral testing:

Testing for BS paralysis was performed on flies 1–2 days posteclosion unless otherwise specified. Flies were anesthetized with CO2 prior to collection and tested the following day. Approximately 15 flies were transferred to a clean vial (Applied Scientific) without agitation and immediately vortexed at maximum speed for 10 sec. Bang-sensitive flies displayed a period of paralysis followed by a period of hyperactivity. The chi-square test was used to determine the P-values for differences in percentage bang sensitivity between test flies and their sibling controls.

Genetic analysis:

In the initial screen for gain-of-function eas suppressors, each of the 1878 EP(2) and EP(3) lines (rth 1996) were independently crossed to D502 females. The resulting unbalanced male progeny would have the genotype w eas f; EP(2)/+; elav-GAL43A or w eas f; EP(3)/elav-GAL43A depending on whether the EP insertion was on the second or third chromosome. These eas males would be expected to be bang sensitive unless the neuronally expressed EP gene acted as a dominant eas suppressor. Our initial screen revealed 42 lines with potential elav-GAL4-activated eas suppressors. The screen also identified two other classes of genetic interaction between eas and the EP lines: synthetic lethals (5 lines) and eas phenotypic enhancers (6 lines); descriptions of these will be presented elsewhere. We then repeated the test crosses of the 42 putative EP suppressor strains to D502 and this time tested both the unbalanced and the balanced male progeny. In 25 cases, we consistently observed that some of the unbalanced male progeny were not bang sensitive. However, for 8 lines similar numbers of unbalanced male progeny (carrying the EP insertion) and balanced male progeny (lacking the EP insertion) failed to show the bang-sensitive behavioral phenotype, indicating that the suppression was not linked to the EP insertion. We then crossed the remaining 17 lines to MR047 and tested unbalanced male progeny (w eas f; EP(2)/+ or w eas f; EP(3)/+) for the bang-sensitive behavioral phenotype. In one line, some of the unbalanced male progeny were not bang sensitive, indicating that suppression was independent of elav-GAL4. Genomic sequences flanking the EP insertions and associated genes were obtained for the 16 remaining gain-of-function eas suppressors from FlyBase (http://www.flybase.org/transposons/fbinsquery.hform). To test for esgEP suppression of bss, EP(2) males were crossed to D510 virgin females and balanced and unbalanced male and female progeny were tested for bang sensitivity. To test for esgEP suppression of sda, three crosses were required. First, w; esgEP/CyO males were independently crossed to U046 virgin females. Next, the resulting w; esgEP/SM5 Cy; +/TM3 male progeny were crossed to D547 virgin females. Finally, the resulting w; esgEP/SM5 Cy; sda/TM3 male progeny were crossed to D512 virgin females and the resulting non-TM3 progeny were tested for bang sensitivity. Analogous crosses were done to demonstrate UAS-esg suppression of eas, bss, and sna and UAS-sna suppression of eas and bss. To determine whether induction of esgEP684 expression in various neuronal subpopulations or in nonneuronal tissue suppressed eas, D552 virgin females were independently crossed to D255, D257, or D258 males and the balanced and unbalanced male progeny were tested for bang-sensitive paralysis.

Electrophysiology:

Electrophysiology was performed on male progeny of crosses of EP(2) males and D502 or D241 females. Flies were tested 1–2 days posteclosion allowing at least 4 hr of recovery from CO2 anesthesia. The procedures used to stimulate and record giant fiber (GF)-driven muscle potentials and seizures have been described previously (Kuebler and Tanouye 2000). Briefly, the fly was immobilized at both its head and its abdomen using separate 23-gauge needles attached to a vacuum line. A cyanoacrylate adhesive was then used to attach the fly to a mounting needle. Both single-pulse stimuli and HF wave trains were delivered to the brain using bipolar tungsten stimulating electrodes. Single-pulse stimuli (0.5-msec duration, 0.8 Hz) were used to drive the GF, and the GF-driven muscle potentials were recorded from the dorsal longitudinal muscles (DLMs) using tungsten recording electrodes. The GF threshold was considered to be the lowest voltage at which the GF pathway responded to a single pulse stimulus. During the course of each experiment, the GF was stimulated continuously to assess GF system circuit function and flies were discarded if that function appeared compromised. Seizures consist of HF activity in at least seven different muscle groups and >30 muscle fibers in the thorax, reflecting the HF firing of the innervating motoneurons (Kuebler and Tanouye 2000). We attempted to elicit seizures by delivering short wave trains of HF electrical stimuli (0.5-msec pulses delivered at 200 Hz for 300 msec) to the brain via bipolar tungsten stimulating electrodes. The minimum intensity (voltage) of the HF stimulus required to elicit a seizure was designated the “seizure threshold.” The two-tailed t-test was used to determine the P-values for differences in seizure threshold between test flies and their sibling controls.

RU486 induction:

RU486-containing medium was prepared by adding 10 mg/ml RU486 to rich fly medium (Backhaus et al. 1984) to a final concentration of 5 μg/ml, as recommended by Thomas Osterwalder (Yale University). We activated the GeneSwitch GAL4 protein in embryos, larvae, and adults in a manner similar to the one described previously (Osterwalder et al. 2001). To activate GeneSwitch in embryos, mothers were grown on RU486-containing medium for 3 days and then allowed to lay eggs on standard medium for 1 day. GeneSwitch was activated in larvae by transferring females grown on standard medium to the RU486 medium for 1 day and allowing development to continue on the medium. GeneSwitch was activated in adults by transferring newly eclosed flies (<1 day old) to RU486-containing medium and allowing them to remain on the medium for 1–2 days prior to testing.

Microarray analysis:

Test larvae expressing esg in all postmitotic neurons (genotype w; esgEP2009/+; elav-GAL4/+) were produced by crossing D241 virgin females to unbalanced EP2009 males. Control larvae with no esg induction (genotype w; esgEP683/+; elav-GAL4/+) were produced in parallel crosses by mating D241 virgin females to unbalanced EP683 males. Total RNA was prepared from test and control wandering third instar larvae using TRIzol reagent (GIBCO BRL, Gaithersburg, MD) according to the manufacturer's instructions. Duplicate 15-μg aliquots of either test or control RNA were used to independently produce the corresponding double-stranded cDNA's via the SuperScript choice system (Invitrogen, Carlsbad, CA). These cDNA's were then used to produce the corresponding biotinylated cRNA's via the ENZO BioArray high-yield RNA transcript labeling kit (Affymetrix). The resulting biotinylated cRNA's were purified and fragmented to 35- to 200-base probe fragments using the GeneChip sample cleanup module (Affymetrix) according to the manufacturer's instructions. The GeneChip Drosophila genome array (Affymetrix) was hybridized with the test or control probes in parallel experiments. Hybridization, staining, washing, and scanning of the GeneChips were performed in the UC-Berkeley Microarray Facility according to the manufacturer's directions.

Analysis of the microarray data was performed using Microarray Suite, Version 5.0 (Affymetrix). Since test and control probes were independently prepared and Drosophila GeneChips were processed on two separate occasions, we obtained four data sets (Test1, Control1, Test2, and Control2). A comparison expression analysis was performed to produce four normalized data sets: Test1 normalized to Control1, Test1 normalized to Control2, Test2 normalized to Control1, and Test2 normalized to Control2. We concluded that a gene was differentially expressed in test and control larvae if we obtained a consistent change of at least 1.5-fold in all four comparisons that was highly statistically significant (change P-value <10−3). This analysis revealed 72 genes with increased expression and 84 with decreased expression in the test larvae expressing neuronal esg.

The noncoding regions of all 156 genes displaying differential expression in test vs. control larvae were examined for the presence of repeated copies of the esg-binding motif (RCAGGTG) using the SeqSeek program (http://flycompute.uoregon.edu/cgi-bin/seqseek.pl; Freeman et al. 2003). The noncoding regions examined included 3000 bp upstream, 2000 bp downstream, and 7000 intronic bp closest to the start of each gene. We required a minimum of five esg-binding sites in 500 bp and included a degeneracy mask that accepted a single substitution in each motif. This computational analysis revealed that 47 of 72 upregulated genes and 53 of 84 downregulated genes carried repeated esg motifs in their noncoding regions. Each of these 100 genes represents a potential transcriptional target of esg in larval neurons.

RESULTS

Screen for eas suppressors reveals multiple esg alleles:

We performed a large-scale screen of Drosophila autosomal Enhancer P-element (EP) lines (rth 1996) to identify genes that, when expressed in neurons, render Drosophila less prone to seizures. The screen involved examination of eas flies carrying one chromosomal copy of elav-GAL4 and one copy of a particular UAS-bearing EP insertion (genotype eas; UAS-EP/+; elav-GAL4/+). The eas mutants are highly prone to seizures and have a low seizure threshold in electrophysiological tests (Kuebler and Tanouye 2000). They also display a behavioral bang-sensitive phenotype: in response to mechanical stimulation (a “bang”), 100% of eas mutants show behavioral paralysis (Pavlidis et al. 1994). As an initial screen for seizure sensitivity, we tested for reversion of the eas bang-sensitive behavioral phenotype. The elav-GAL4 construct leads to neuronal expression of the GAL4 transcriptional activator (Lin and Goodman 1994). This drives expression of the EP-associated gene in all neurons. It was our expectation that high-level neuronal expression of some EP genes would render eas flies less prone to seizures, resulting in reduced bang sensitivity.

A screen of 1878 EP(2) and EP(3) insertions (rth 1996) identified 25 strains that, in the presence of elav-GAL4, consistently reduced the bang sensitivity of eas flies. In eight of these lines, the suppressor was not linked to the EP insertion and, in one other, it was independent of elav-GAL4. The remaining 16 EP insertions produced partial (i.e., incompletely penetrant) suppression of eas in conjunction with elav-GAL4. Table 2 shows the results for six of these EP lines. Line EP(2)2589 shows moderate reversion of the eas bang-sensitive phenotype (78% bang sensitivity), but its P-insertion site at 52B is not immediately associated with an identified gene. Line EP(2)310 shows 84% bang sensitivity. The P insertion of this line is in the 3′-untranslated region of the polyA-binding protein (pAbp) gene. Poly(A)-binding protein is enriched at subsynaptic regions of the Drosophila larval neuromuscular junction (Sigrist et al. 2000). Altering the level of pAbp expression has been shown to change the levels of postsynaptic proteins involved in neuronal activity and connectivity (Sigrist et al. 2000). EP(2)2235 shows modest, but statistically significant, reversion of the eas bang-sensitivity phenotype. The P-element insertion of this line occurs in the 5′-untranslated region of the βν-integrin gene (βInt-ν), which encodes a heterophilic cell adhesion molecule. Expression of βInt-νEP2235 under the control of elav-GAL4 results in larvae with reduced or abnormal synapses and neuronal pathfinding defects (Kraut et al. 2001).

TABLE 2.

Gain-of-functioneas suppressors

% bang sensitivity
EP line Test (n) Control (n) Map
position
Gene Molecular function
EP(2)684  4 (229) 100 (136) 35D escargot (esg) Zn2+-finger transcription factor
EP(2)2009 11 (171) 100 (253) 35D escargot (esg) Zn2+-finger transcription factor
EP(2)633 20 (163) 100 (194) 35D escargot (esg) Zn2+-finger transcription factor
EP(2)2589 78 (147) 100 (149) 52B Unknown NA
EP(2)310 84 (139) 100 (120) 55B polyA-binding protein (pAbp) RNA-binding protein
EP(2)2235 98 (179) 100 (175) 39A βν-integrinInt-ν) Heterophilic cell adhesion molecule

The results of a screen for Enhancer P (EP) mutations that suppress the behavioral bang-sensitive phenotype of eas are presented. The flies tested (Test) were males of the genotype eas; EP/+; elav-GAL4/+. Control flies of the genotype eas; +/CyO; elav-GAL4/+ were male siblings of the test flies. Test and control flies resulted from crosses between eas; elav-GAL4 virgin females and w; EP/CyO males. The number of flies tested is shown for each EP line. Results for the five EP lines that produced a highly significant (P < 0.001) fraction of non-bang-sensitive test progeny are shown in the first five rows; results for an additional line that produced a small but significant (P < 0.05) fraction of non-bang-sensitive test progeny is shown in the last row. The cytological map position of each EP insertion is given. When known, the corresponding gene and its molecular function are noted. NA, not applicable.

The three strongest gain-of-function eas suppressors identified in our screen all carried P insertions in the same gene, esg (Table 2). Whereas the eas control flies (genotype eas; +/CyO; elav-GAL4/+) were completely bang sensitive (100% bang sensitivity), their eas siblings (genotype eas; esgEP/+; elav-GAL4/+) showed marked reversion of the eas bang-sensitive phenotype. For EP(2)684, 4% of flies showed the bang-sensitive phenotype; for EP(2)2009, 11% of flies were bang sensitive; and for EP(2)633, 20% of flies were bang sensitive. The EP684, EP2009, and EP633 insertions all occur in the 5′ upstream region of the esg gene (Figure 1) at −442, −333, and −460, respectively, from the translational start (Abdelilah-Seyfriend et al. 2000).

Figure 1.—

Figure 1.—

Screen for eas suppressors reveals multiple escargot alleles.The three strongest gain-of-function eas suppressors identified in our screen (EP684, EP2009, and EP633) all carry EP insertions in the same gene, esg. All three of these esgEP insertions (solid triangles) occur in the 5′-flanking region of the esg gene. Two additional esgEP insertions (shaded triangles) also show some suppression of bang sensitivity. One of these (EP2408) occurs in the 5′-flanking region of the esg gene, whereas the other (EP2159) is in the 5′-noncoding region of the esg transcript. A sixth esgEP insertion (EP683, open triangle) does not show any suppression of bang sensitivity. The EP element in esgEP683 is located in the 5′-flanking region of esg but is inserted in the opposite orientation of the other five esgEP insertions; GAL4 induction of esgEP683 should not induce the level of esg transcript.The escargot ORF (large solid box) encodes a transcription factor with five Zn2+-finger DNA-binding domains (open stripes). The escargot protein also possesses a P-DLS-K domain (shaded stripe), which probably binds the dCtBP corepressor.

Multiple bang-sensitive mutations are suppressed by neuronal esg:

Additional genetic experiments revealed that elav-GAL4-activated esgEP interacts with other BS mutations suggesting that it functions as a general seizure suppressor (Figure 2). Among BS mutations, eas is considered intermediate in terms of both the degree to which it reduces seizure threshold and the ease with which it can be suppressed by secondary mutations (Kuebler and Tanouye 2000; Kuebler et al. 2001). By these criteria, sda is a weaker BS mutation than eas whereas bss is a stronger one. As shown in Figure 2B, the bang-sensitive phenotype of sda was strongly suppressed by elav-GAL4-activated esgEP (2, 4, and 11% bang sensitivity for EP684, EP2009, and EP633, respectively). In contrast, the elav-GAL4 sda control siblings of these flies were all bang sensitive (100% bang sensitivity). The bang-sensitive phenotype of bss was not suppressed by any of the three esgEP alleles identified here. Thus, bss; esgEP/+; elav-GAL4/+ flies showed the same 100% bang sensitivity as their bss; +/CyO; elav-GAL4/+ control siblings. However, additional observations suggest that esgEP does interact weakly with bss (Figure 2C). The bss mutation is semidominant, and bss/+; +/CyO; elav-Gal4/+ control flies show >50% bang sensitivity. In contrast, their bss/+; esgEP/+; elav-GAL4/+ siblings displayed little or no bang sensitivity (0, 5, and 10% bang sensitivity for EP684, EP2009, and EP633, respectively).

Figure 2.—

Figure 2.—

Neuronal expression of esgEP suppresses a variety of bang-sensitive mutants. Flies of different genotypes were examined for the bang-sensitive behavioral phenotype in response to a 10-sec mechanical bang. The data reveal that elav-GAL4-driven esgEP acts as a general suppressor of bang-sensitive paralysis: several esgEP alleles act as suppressors, and different bang-sensitive mutations are suppressed. (A) Ectopic expression of different esgEP alleles suppresses the bang-sensitive behavioral phenotype of the eas mutation. In the case of esgEP684 (EP684, solid bar, genotype eas; esgEP684/+; elav-GAL4/+), ectopic expression driven by elav-GAL4 produces considerable suppression of the eas phenotype: only 4% of flies show paralysis compared with 100% of their sibling controls (open bar, genotype eas; +/CyO; elav-GAL4/+). Substantial suppression is also seen for the esgEP alleles EP2009 and EP633 (11 and 20% bang sensitivity, respectively). For all genotypes, n > 135. (B) Ectopic expression of different esgEP alleles also suppresses the bang-sensitive behavioral phenotype of the sda mutation. In the case of esgEP684 (EP684, solid bar, genotype esgEP684/+; elav-GAL4 sda/sda), ectopic expression driven by elav-GAL4 produces marked suppression of the sda phenotype: only 2% are bang sensitive compared with 100% of the sibling control flies (open bars, genotype +/CyO; elav-GAL4 sda/sda). Substantial suppression is also seen for the esgEP alleles EP2009 and EP633 (4 and 11% bang sensitivity, respectively). For all genotypes, n > 135. (C) The behavioral phenotype of the bss/+ semidominant genotype is suppressed by neuronal expression of different esgEP alleles. For bss/+ sibling control flies (open bars, genotype bss/+; +/CyO; elav-GAL4/+) >50% displayed bang sensitivity. Note that this behavioral response differs somewhat from others described in this article in that flies demonstrate paralysis, but not hyperactivity. This has sometimes been referred to as “stress sensitivity” (Homyk 1977). In contrast, 0% bang-sensitive paralysis is observed in bss/+ siblings carrying esgEP684 (solid bars, genotype bss/+; esgEP684/+; elav-GAL4/+). Substantial suppression is also seen for the esgEP alleles EP2009 and EP633 (5 and 10% bang sensitivity, respectively). For all genotypes, n > 95.

The reduced seizure susceptibility of the elav-Gal4 + esgEP lines likely reflects the neuronal induction of esg in these flies. The EP(2) collection includes six esgEP lines: three of these (EP684, EP2009, and EP633) were identified in our screen for gain-of-function eas suppressors whereas the other three (EP2408, EP2159, and EP683) were not detected by our screen (Figure 1). Since elav-GAL4-activated esgEP suppresses sda more strongly than eas (Figure 2), we subsequently examined all of the esgEP insertions, in addition to a UAS-esg construct inserted elsewhere on chromosome II, for elav-GAL4-mediated suppression of sda. These experiments revealed that elav-GAL4 activation of five of the six esgEP insertions, as well as the UAS-esg construct, produced significant sda suppression (Table 3). The one esgEP insertion that failed to suppress sda (EP683) is inserted in the opposite orientation, so that elav-GAL4 induction of esgEP683 would not be expected to induce esg transcription. Neuronal induction of esg expression using the UAS-esg construct produced some suppression of the bang sensitivity of eas and bss/+ flies (Table 4). The sna transcription factor shares 76% identity with esg, and the corresponding genes are functionally redundant (Whiteley et al. 1992; Ashraf et al. 1999). We observed that elav-GAL4 activation of the snail transcription factor using a UAS-sna construct also produced a statistically significant reduction of bang sensitivity in either eas or bss/+ flies (Table 4). By contrast, a presumptive reduction of functional esg produced neither seizure suppression nor enhancement (Table 5). We found that heterozygous eas/+ or bss/+ flies that were also heterozygous for either a null mutation in esg or a deletion that removed all three snail-related genes (esg, wor, and sna) showed no statistically significant difference in bang sensitivity relative to their sibling controls (Table 5).

TABLE 3.

Neuronal induction ofesg suppressessda

% bang sensitivity
esg construct Test (n) Control (n) P-value
EP684   2 (178) 100 (485) 7.7 × 10−141
EP2009   4 (300) 100 (255) 3.9 × 10−112
EP633  11 (135) 100 (137) 1.3 × 10−48
EP2408  19 (101) 100 (198) 2.1 × 10−49
EP2159  91 (472) 100 (190) 2.1 × 10−5
EP683 100 (267) 100 (127) 0.51
UAS-esg  86 (255) 100 (117) 2.9 × 10−5

The flies tested (Test) had the genotype esgEP/+; elav-GAL4 sda/sda or UAS-esg/+; elav-GAL4 sda/sda. Control flies of the genotype +/CyO; elav-GAL4 sda/sda were siblings of the test flies. Neuronal induction of five of the six esgEP insertions, as well as UAS-esg, produced a highly significant (P < 0.001) reduction in the bang sensitivity of sda homozygotes.

TABLE 4.

BothUAS-esg andUAS-sna can suppress bang sensitivity

% bang sensitivity
Genotype Test (n) Control (n) P-value
eas; UAS-esg/+; elav-GAL43A/+ 78 (174) 100 (138) 4.4 × 10−9
eas; UAS-sna/+; elav-GAL43A/+ 88 (40) 100 (54) 4.9 × 10−3
bss/+; UAS-esg/+; elav-GAL43A/+ 48 (683)  70 (148) 2.4 × 10−6
bss/+; UAS-sna/+; elav-GAL43A/+ 39 (123)  82 (146) 2.3 × 10−13

Genotypes for flies tested (Test) are indicated; control flies were gender-matched siblings that carried a balancer chromosome rather than the UAS construct. Results are highly significant (P < 0.001).

TABLE 5.

Reducedesg does not affect bang sensitivity

% bang sensitivity
Genotype Test (n) Control (n)
eas/+; esg35ce-1/+  0 (136)  0 (138)
eas/+; Df(2L)osp29/+  0 (107)  0 (124)
bss/+; esg35ce-1/+ 54 (316) 58 (291)
bss/+; Df(2L)osp29/+ 34 (324) 33 (323)

The esg35ce-1 allele is a loss-of-function mutation in the esg gene, whereas Df(2L)osp29 is a deletion that removes all three snail family genes (esg, wor, and sna). Genotypes for female flies tested (Test) are indicated; control flies were female siblings that carried a balancer chromosome rather than the corresponding esg mutation. No statistically significant differences in bang sensitivity were observed between the test and control progeny. In all four crosses, 100% of the corresponding eas or bss male siblings were bang sensitive.

Suppression by esg must occur during nervous system development:

Expression of esg could act directly on adult nervous system function to revert the eas bang-sensitive phenotype. Alternatively, it could act during nervous system development to produce a neuronal organization that is less susceptible to seizures. We used conditional expression of esgEP2009 to distinguish between these two possibilities. Experimental control of esgEP2009 expression was obtained by using the elav-GeneSwitch construct (Osterwalder et al. 2001). GeneSwitch is a conditional, RU486-dependent, GAL4-progesterone fusion protein (Burcin et al. 1998). The elav promoter directs synthesis of inactive GeneSwitch in the neurons of embryos, larvae, pupae, and adults (Robinow and White 1988, 1991); GeneSwitch is activated at the desired point in development via administration of RU486.

The seizure-suppressor function of esgEP2009 in adults is dependent on its expression during nervous system development occurring in the larval stage. That is, an examination of esgEP2009 induction during different developmental stages showed that larval expression is critical for seizure suppression in adults (Table 6). Furthermore, larval induction of esgEP2009 produced a greater degree of suppression in adults tested at 2–3 days of age than in those tested at only 1–2 days (Table 6). RU486 induction of GeneSwitch maintained throughout embryonic, larval, and adult stages suppressed bang sensitivity (47% bang sensitivity for flies tested at 2–3 days) in flies of the genotypes eas; esgEP2009; elav-GeneSwitch and eas; esgEP2009/CyO; elav-GeneSwitch. This indicates a substantial amount of seizure suppression although somewhat less than that for eas; esgEP2009/+; elav-GAL4/+ (11% bang sensitivity; Table 2). A reduced level of bang sensitivity was also observed if GeneSwitch induction occurred only during larval and adult stages (53% bang sensitivity for flies tested at 2–3 days) or only during the embryonic and larval stages (47% bang sensitivity for flies tested at 2–3 days). Little reduction of bang sensitivity was observed when RU486 feeding was limited to the adult stage (98% bang sensitivity at 1–2 days, 100% bang sensitivity at 2–3 days). Consequently, we presume that the approximately twofold reduction in bang sensitivity produced by RU486 feeding during the larval and adult stages was overwhelmingly due to the larval induction of esgEP2009. A slight decrease in bang sensitivity was obtained by GeneSwitch induction in embryos (85% bang sensitivity at 1–2 days, 95% bang sensitivity at 2–3 days). We suspect that this modest reduction in bang sensitivity could actually reflect larval expression of esgEP2009, because GeneSwitch activation in embryos persists in first and (to a lesser degree) second instar larvae (Osterwalder et al. 2001). Control flies grown on normal food without RU486 were all bang sensitive (100% bang sensitivity) indicating that the inactive GeneSwitch does not induce transcription of esgEP2009.

TABLE 6.

Critical period foresgEP suppression ofeas

esgEP induced in neurons
% bang sensitivity
Embryo Larvae Adult 1–2 days 2–3 days n
100 100  85
+  84  95 173
+ +  70  51  88
+ +  75  50 130
+  98 100  51
+ + +  73  47  90

Expression of esg was induced in neurons at various developmental times using esgEP2009 and elav-GeneSwitch. Adult flies were tested for bang sensitivity at 1–2 days and again at 2–3 days. The number of flies tested (n) includes both esgEP2009 homozygotes and esgEP2009/SM5 heterozygotes, except in the second row (embryos induced), which includes only esgEP2009 homozygotes.

Induction of esg in larval interneurons reduces bang sensitivity:

To better understand why induction of esg in larval neurons mediates seizure suppression in adults, we induced esg in specific subpopulations of larval neurons and monitored the bang sensitivity of the resulting adults. These experiments revealed that induction of esg in larval interneurons using Cha-GAL4 produced a 12% reduction in adult bang sensitivity (Table 7). Hence, expression of esg in larval interneurons alone can reduce seizure susceptibility in adults. A significantly greater reduction in bang sensitivity (96%) occurred when esg was induced in all neurons; we do not know whether this is because esg must be induced in an additional neuronal subpopulation for high-level suppression or whether the elav-GAL4 driver produces a higher level of esg induction in larval interneurons than does Cha-GAL4. However, induction of esg in another larval interneuron subpopulation, motoneurons, using OK6-GAL4 had no discernible effect on adult bang sensitivity: 100% were bang sensitive (Table 7). We were unable ascertain whether induction of esg in larval sensory neurons influences adult bang sensitivity as sca-GAL4-driven esgEP684 and esgEP2009 were lethal in our crosses; however, the single eas; esgEP684/sca-GAL4 escaper was bang sensitive (data not shown). Induction of esg in all larval somatic muscles using the G14-GAL4 driver produced a 22% reduction in adult bang sensitivity (Table 7). This observation is consistent with the notion that esg induced in neurons is acting in a non-cell-autonomous manner to reduce susceptibility to seizures.

TABLE 7.

Induction ofesg in interneurons or muscle suppresseseas

% bang sensitivity
GAL4 driver Test (n) Control (n) P-value
elav-GAL4 (all neurons)   4 (229) 100 (136) 1.5 × 10−73
Cha-GAL4 (interneurons)  88 (429) 100 (188) 4.1 × 10−6
OK6-GAL4 (motor neurons) 100 (165) 100 (121)
G14-GAL4 (muscle)  78 (101) 100 (107) 7.0 × 10−7

Flies tested (Test) were male flies of the genotype eas; esgEP684/Driver-GAL4. Control flies were eas; Driver-GAL4/CyO male siblings of the Test flies. Results for the elav-GAL4, Cha-GAL4, and G14-GAL4 drivers are highly significant (P < 0.001).

Neuronal escargot raises seizure threshold:

The bang-sensitive behavioral phenotype has been a useful indirect measure of seizure sensitivity in Drosophila: flies that show a strong behavioral phenotype are most sensitive to seizure, whereas those that lack the phenotype are less seizure sensitive (Pavlidis and Tanouye 1995; Kuebler and Tanouye 2000; Kuebler et al. 2001). To examine seizure susceptibility directly, we used electrophysiology methodologies in suppressed and unsuppressed eas flies. Seizures are evoked by a wave train of HF electrical stimuli (0.5-msec pulses delivered at 200 Hz for 300 msec) delivered to the Drosophila brain (Pavlidis et al. 1994). Seizures in Drosophila consist of uncontrolled firing of many, if not all, neurons in the CNS at firing frequencies of >100 Hz. Recordings of seizures are most conveniently made from muscle fibers in the thorax and reflect seizure activity of the motoneurons that innervate them. At least 30 motoneurons innervating seven muscle groups have shown seizure activity (Kuebler and Tanouye 2000). Figure 3A shows a seizure recorded from the dorsal longitudinal muscle of an eas; +/CyO; elav-GAL4/+ control fly in response to an 8-V HF stimulus. Abnormal HF muscle potentials (>100 Hz) are observed reflecting seizure activity of the single motoneuron innervating this muscle fiber (Kuebler and Tanouye 2000). This seizure activity is similar in appearance and time course to those previously observed in eas mutants (Pavlidis and Tanouye 1995). Figure 3B shows a dorsal longitudinal muscle recording from an eas; esgEP2009/+; elav-GAL4/+ fly in response to an 8-V HF stimulus. In this instance, no seizure activity can be seen, indicating that the HF stimulus was not of sufficient strength to elicit a seizure. Figure 3C shows a seizure resulting from a higher-intensity 20-V HF stimulus delivered to the eas; esgEP2009/+; elav-GAL4/+ fly. Taken together, these results indicate that the seizure sensitivity of eas is suppressed by ectopic expression of esgEP2009: seizures are evoked by low-intensity HF stimuli when esgEP2009 is not present in the eas; +/CyO; elav-GAL4/+ fly, indicating seizure sensitivity, whereas when esgEP2009 is present, a higher-intensity HF stimulus is necessary to evoke a seizure, indicating a suppression of seizure sensitivity.

Figure 3.—

Figure 3.—

Neuronal expression esgEP raises the seizure threshold of eas flies. (A) A seizure is elicited in an eas sibling control fly (genotype eas; +/CyO; elav-GAL4/+) by a high-frequency stimulus of low strength (8 V). The HF stimulus (box) is a short wave train (0.5-ms pulses at 200 Hz for 300 msec) of electrical stimuli delivered to the brain. The recording is from a DLM and reflects the abnormal HF firing of the innervating DLM motoneuron. The vertical calibration bar is 20 mV and the horizontal bar is 200 msec. (B) A low-voltage HF stimulus (8 V) fails to elicit a seizure in an eas fly carrying the esgEP2009 suppressor (genotype eas; esgEP2009/+; elav-GAL4/+) because the stimulus is below the intensity required for a higher seizure threshold. (C) A higher-voltage HF stimulus (20 V) elicits a seizure in an eas fly carrying the esgEP2009 suppressor (genotype eas; esgEP2009/+; elav-GAL4/+) because the stimulus is of sufficient intensity to exceed the higher seizure threshold of this fly. (D) HF stimuli of varying voltages were delivered to eas control flies or their siblings that were eas and carried the esgEP2009 suppressor to determine their seizure thresholds. The threshold curves show the percentage of flies that have seizures following an HF stimulus of a particular voltage. Fifteen eas control flies and 20 of their esgEP2009-carrying siblings were tested. Note that the esgEP2009 curve is broader than the control one, indicating a greater range of threshold values. (E) The esgEP suppressors raise the average seizure threshold for eas by approximately twofold. The mean seizure threshold of eas; +/CyO; elav-GAL4/+ control flies is 7.6 ± 1.9 V. The mean seizure threshold of eas flies carrying any one of the three esgEP alleles (genotype eas; esg/+; elav-GAL4/+) is higher (EP684, 15.5 ± 5.7 V; EP2009, 15.5 ± 6.8 V; and EP633, 13.3 ± 3.2 V).

We quantified the effectiveness of esgEP-mediated seizure suppression by comparing mean threshold voltages needed to elicit a seizure in suppressed and unsuppressed flies. It was shown previously that flies of different genotypes have characteristically different mean threshold voltages, with seizure-prone, bang-sensitive flies displaying seizure thresholds 5–10 times lower than those of wild-type control flies (Kuebler et al. 2001). The mean seizure threshold for unsuppressed flies of the genotype eas; +/CyO; elav-GAL4/+ is 7.5 ± 1.9 V (Table 8). This value is comparable to, although slightly higher than, the seizure threshold reported previously for the eas mutant strain (3.4 ± 0.05 V; Kuebler et al. 2001). In contrast, ectopic neuronal expression of esgEP2009 raises seizure threshold approximately twofold. Thus, suppressed flies of the genotype eas; esgEP2009/+; elav-GAL4/+ have a mean seizure threshold of 15.5 ± 5.7 V. This is a substantial improvement in eas seizure susceptibility, although not quite to wild-type levels. For example, seizure threshold for Canton-Special is 30.1 ± 3.8 V (Kuebler et al. 2001). The eas shak-B2 double mutant has a seizure threshold of 15.3 ± 3.2 V (Kuebler et al. 2001), indicating that the esgEP2009 gain-of-function mutation suppresses eas seizures to about the same extent as the shak-B2 loss-of-function mutation.

TABLE 8.

Giant fiber electrophysiology ofesgEP and control flies

Genotype Giant fiber
threshold (V)
Seizure
threshold (V)
P-value
eas; +/CyO; elav-GAL4/+ 1.3 ± 0.20 7.6 ± 1.9
eas; esgEP684/+; elav-GAL4/+ 1.6 ± 0.43 15.5 ± 5.7 8.18 × 10−6
eas; esgEP2009/+; elav-GAL4/+ 1.3 ± 0.26 15.5 ± 6.8 5.11 × 10−5
eas; esgEP633/+; elav-GAL4/+ 1.3 ± 0.45 13.3 ± 3.2 4.39 × 10−4
w; +/CyO; elav-GAL4/+ 1.6 ± 0.29 36.7 ± 6.5
w; esgEP2009/+; elav-GAL4/+ 1.3 ± 0.45 55.5 ± 13.2 1.52 × 10−2

Values for the giant fiber threshold and seizure threshold (V) are given for each of the genotypes tested. The CyO control flies (first and fifth rows) were siblings of the esgEP2009/+ flies. The esgEP684/+ and esgEP633/+ flies had no bang-sensitive phenotype when subjected to behavioral tests. Giant fiber threshold was determined using single-pulse stimuli. Seizure threshold was determined using HF stimuli. The P-values for differences in seizure threshold between the esgEP and corresponding control strains are indicated.

Figure 3D shows a plot of the percentage of flies seizing at different HF stimulus intensities. The eas; esgEP2009/+; elav-GAL4/+ curve is shifted to the right relative to that of the eas; +/CyO; elav-GAL4/+ sibling control curve. This right shift reflects the seizure suppression by esgEP2009: most eas flies carrying elav-GAL4-activated esgEP2009 require a significantly higher HF stimulus intensity to elicit a seizure than do the sibling controls. Note also that the esgEP2009 curve is broader than the control curve, reflecting a larger range of seizure threshold values. Some eas; esgEP2009/+; elav-GAL4 flies have seizure threshold values comparable to those of their control siblings. This may account for the observation that suppression of the eas behavioral phenotype by esgEP2009 is incompletely penetrant: flies with seizure thresholds below ∼10 V would likely be bang sensitive.

The increased seizure threshold of eas flies expressing elav-GAL4-activated esgEP2009 apparently reflects a general reduction in seizure-sensitivity mediated by neuronal esg. Electrophysiological measurements of eas; esgEP/+; elav-GAL4/+ flies carrying either of the two other esg alleles (EP684 and EP633) reveal that these flies also have significantly elevated seizure thresholds (15.5 ± 5.7 V and 13.3 ± 3.2 V, respectively; Figure 3E). Electrophysiological recordings showed that elav-GAL4-activated esgEP also changes seizure threshold in non-BS flies (Table 4). Flies carrying elav-GAL4-activated esgEP2009 (genotype w; esgEP2009/+; elav-GAL4/+) have a seizure threshold of 55.5 ± 13.2 V, which is higher than that of control flies that lack esgEP2009 (genotype w; +/CyO; elav-GAL4/+; threshold 36.7 ± 6.5 V). Note that neuronal esg does not appear to be fully epistatic to eas: the seizure threshold of eas; esgEP2009/+; elav-GAL4/+ flies (15.5 V) is higher than that of eas; +/CyO; elav-GAL4/+ flies (7.5 V) but lower than that of w; esgEP2009/+; elav-GAL4/+ flies (55.5 V).

Individual neuron excitability is not changed by esg:

A possible explanation for genotypic differences in seizure susceptibility is that each individual neuron in eas control flies (eas; elav-GAL4/+) could be hyperexcitable compared to the corresponding neuron in their suppressor-carrying siblings (eas; esgEP2009/+; elav-GAL4/+). In this case, a lower-intensity HF stimulus (i.e., 7.5) in eas control BS could be activating the same number of neurons as a higher-intensity HF stimulus (i.e., 15.5-V HF) in the suppressor-carrying sibling. The implication would be that the same number of neurons is activated to evoke the seizure. There is some precedent for thinking that this may occur because one source of seizure disorder in mice corresponds with the knockout of a voltage-gated K+ channel, which would presumably cause membrane hyperexcitability (Smart et al. 1998).

Experiments examining giant fiber (GF) threshold suggest that altered single-cell excitability is probably not an explanation for seizure suppression. Stimulus voltages required for activation of the GF did not differ between suppressed and unsuppressed flies (Table 4). The GF activation threshold for eas; esgEP/+; elav-GAL4 flies is virtually identical with the 1.3 ± 0.20-V GF threshold of the eas; +/CyO; elav-GAL4/+ control flies (EP684, 1.6 ± 0.43; EP2009, 1.3 ± 0.26; and EP633, 1.3 ± 0.45). Thus, elav-GAL4-driven esgEP does not appear to suppress seizures by altering the excitabilities of individual neurons. A more likely possibility is that elav-GAL4-activated esgEP suppresses seizures by requiring a larger number of neurons to be recruited to trigger a seizure. Note that we cannot rule out the possibility that there may be other neurons not examined here that are critical to the generation of seizures and are altered in excitability.

Microarray analysis of potential esg targets:

The esg transcription factor normally functions as a repressor (Fuse et al. 1994; Ashraf et al. 1999). Consequently, the expectation is that esgEP-mediated seizure suppression arises from reduced expression of one or more esg target genes and the lowered level of their corresponding gene products. However, ectopically expressed neuronal esg could conceivably act as a transcriptional activator to induce one or more critical target genes. The gene product(s) of the relevant esg target(s) could potentially be used in screens for novel AEDs. As a first approach in determining the relevant target genes for neuronal esg, we performed microarray analysis to determine which of >13,500 transcripts were either induced or repressed in larvae expressing esg in all neurons. In these experiments, test larvae had the genotype w; esgEP2009/+; elav-GAL4/+, whereas control larvae had the genotype w; esgEP683/+; elav-GAL4/+. Both the EP2009 (test) and the EP683 (control) insertions are located in the 5′ upstream region of the esg gene and are separated by only 19 bp. However, they are inserted in opposite orientations. Consequently, elav-GAL4 induces esgEP2009, producing suppression of bang sensitivity (Figure 2), whereas elav-GAL4 fails to induce esgEP683, producing no change in bang sensitivity (Table 3).

Our microarray analysis (materials and methods) revealed 156 genes that demonstrated a reproducible and statistically significant difference in expression level between test and control larval RNAs. Of these 156 genes, 100 also displayed clustered repeats of the esg target sequence (RCAGGTG) within their noncoding sequences (Table 9). This list includes 47 upregulated genes and 53 downregulated ones. One or more of these genes is likely the esg transcriptional target that actually mediates its seizure suppression. The list of genes that displayed significant levels of induction in larvae with pan-neural esg includes two (ebony and black) that encode enzymes involved in the biosynthesis of neurotransmitter (dopamine and glutamate, respectively), two (CG6600 and slif) that encode cationic transporters, and four for serine protease inhibitors (CG7906, CG7924, CG1342, and Spn43a). The esg gene itself showed modest induction (1.8-fold); however the induced level was still too low to be reliably quantified, and the change P-value was only 0.043. Several genes involved in larval/pupal development displayed striking induction; this likely reflects the greater number of contaminating prepupae included with the test larvae than with the control larvae. The list of genes that showed significant repression in larvae expressing neuronal esg includes one (Nplp2) that encodes a neuropeptide, several Ca2+-binding proteins, and five serine proteases. A number of the potential esg target genes that displayed particularly striking differences in expression levels between test and control larvae encode proteins of unknown function. Further genetic experiments will be needed to determine which of our 100 potential targets of neuronal esg actually mediates seizure suppression.

TABLE 9.

Microarray analysis of transcripts altered in larvae with pan-neural escargot expression

Gene Fold change P-value Comments
Neurotransmitters/neuropeptides
 ebony (e) CG3331 ↑ 3.6 2 × 10−6 β-Alanyl-dopamine synthase
 black (b) CG7811 ↑ 2.5 1.1 × 10−5 Glutamate decarboxylase
 CG3999 ↑ 1.7 2.6 × 10−5 Glycine dehydrogenase
 Nplp2 CG11051 ↓ 2 2 × 10−6 Neuropeptide hormone
Ca2+-binding proteins
 CG7447 ↑ 1.7 2.7 × 10−4 Has a Ca2+-binding EGF-like domain
 Amy-d CG17876 ↓ 2 2 × 10−6 Ca2+-binding α-amylase
 Troponin C @ 47D (TpnC47D) CG9073 ↓ 1.8 2 × 10−6 Ca2+-binding protein that regulates
  muscle contraction
 CG6514 ↓ 1.7 8.4 × 10−5 Ca2+-binding protein
Transporters
 CG6600 ↑ 3.7 9 × 10−6 Organic cation transporter
 slimfast (slif) CG11128 ↑ 1.6 9.3 × 10−5 Cationic amino acid transporter
Serine protease inhibitors
 CG7906 ↑ 3.9 1.7 × 10−5 Kazal type
 CG7924 ↑ 3.6 2 × 10−6 Kazal type
 CG1342 ↑ 1.7 5 × 10−5 Serpin type
 Spn43Aa CG12172 ↑ 1.6 2.5 × 10−4 Serpin type
 CG6687 ↓ 1.6 1.3 × 10−4 Serpin type
 E(spl)-m1 CG8342 ↓ 1.5 2.5 × 10−6
Proteases
 SP1029 CG11956 ↑ 1.8 2 × 10−6 Aminopeptidase
 CG6298 ↓ 2.8 2.5 × 10−6 Serine protease
 CG10472 ↓ 1.9 6 × 10−6 Serine-type endopeptidase
 CG8773 ↓ 1.9 1.6 × 10−5 Glutamyl aminopeptidase
 CG4847 ↓ 1.7 2 × 10−6 Cysteine protease
 Ser99Dc CG17951 ↓ 1.7 2.5 × 10−6 Serine-type endopeptidase
 CG8299 ↓ 1.6 3.5 × 10−6 Serine-type endopeptidase
 CG10081 ↓ 1.6 1.8 × 10−5 Zn2+-dependent exopeptidase
 CG9673 ↓ 1.6 1.8 × 10−4 Serine protease
Other enzymes
 CG5171 ↑ 1.9 1.7 × 10−5 Trehalose-phosphatase
 Nmdmc CG18466 ↑ 1.7 8.5 × 10−6 Methenyltetrahydrofolate
  cyclohydrolase
 CG7115 ↑ 1.6 6.3 × 10−5 Serine/threonine phosphatase
 Asph CG18658 ↑ 1.5 7.5 × 10−6 Peptide-aspartate β-dioxygenase
 Est-P CG17148 ↑ 1.5 4.4 × 10−4 Carboxylesterase
 CG15534 ↓ 3.0 9.8 × 10−4 Sphingomyelin phosphodiesterase
 Uro CG7171 ↓ 2.6 8.5 × 10−6 Peroxisomal urate oxidase
 CG9149 ↓ 2.5 2.5 × 10−6 Acetyl-CoA C-acetyltransferase
 CG9466 ↓ 2.2 2 × 10−6 α-Mannosidase
 CG9468 ↓ 2.1 2 × 10−6 α-Mannosidase
 CG6839 ↓ 1.9 4 × 10−6 DNA/RNA endonuclease
 CG3264 ↓ 1.7 3 × 10−6 Alkaline phosphatase
 CG1809 ↓ 1.6 9.1 × 10−5 Alkaline phosphatase
 Cyp6a18 CG13977 ↓ 1.5 1.5 × 10−4 Mitochondrial electron transporter
Defense/immunity
 LysX CG9120 ↑ 4.4 3 × 10−6 Lysozyme
 dro5 CG10812 ↑ 3.9 3 × 10−6
 CG12789 ↑ 1.8 2.5 × 10−5 Scavenger receptor
 AttC CG4740 ↓ 5.1 3.5 × 10−6
 DptB CG10794 ↓ 5.1 4.1 × 10−5
 Dpt CG12763 ↓ 3.0 1.1 × 10−5
 PGRP-SB1 CG9681 ↓ 2.5 2.1 × 10−5 Peptidoglycan recognition protein
 Mtk CG8175 ↓ 1.9 7.5 × 10−5
Structural constituents
 Lcp65Ad CG6955 ↑ 6.5 9 × 10−6 Larval cuticle
 CG2330 ↑ 1.8 4.7 × 10−4 Extracellular matrix
 Lcp65Ag1 CG10530 ↓ 2.5 9.4 × 10−5 Larval cuticle
 CG11142 ↓ 1.9 2 × 10−6 Peritrophic membrane
 Peritrophin-A CG17058 ↓ 1.9 1.3 × 10−5 Peritrophic membrane
 CG9077 ↓ 1.8 1.2 × 10−5 Larval cuticle
 CG17145 ↓ 1.7 2.5 × 10−6 Peritrophic membrane
 CG2555 ↓ 1.5 8.5 × 10−6 Larval cuticle
 CG10725 ↓ 1.5 9.5 × 10−6 Peritrophic membrane
Larval/pupal development
 Eig71Ek CG7325 ↑ 61.8 2 × 10−6
 Eig71Ed CG7350 ↑ 46.7 2.5 × 10−6 Involved in salivary gland cell death
 Edg78E CG7673 ↑ 7.2 7.6 × 10−5
 Eip78C CG18023 ↑ 2.8 6.3 × 10−5 Transcription factor
 ImpE2 CG1934 ↑ 1.5 1.8 × 10−4
Other
 MtnB CG4312 ↑ 3.7 2.4 × 10−4 Metallothionein
 Hsp26 CG4183 ↑ 2.1 2 × 10−6 Heat-shock protein
 MtnC CG5097 ↓ 9.5 3.7 × 10−5 Metallothionein
 pastrel (pst) CG8588 ↓ 2 1.3 × 10−5 Mutants show memory defects
Novel
 CG2150 ↑ 12.1 2 × 10−6
 CG4151 ↑ 10.9 5.5 × 10−6
 CG9083 ↑ 9.2 3.5 × 10−6
 CG10853 ↑ 9.2 4 × 10−6
 CG12164 ↑ 8.3 7 × 10−6
 CG14534 ↑ 5.1 2.3 × 10−4
 CG17325 ↑ 4.9 2 × 10−6
 CG15901 ↑ 4.4 1.8 × 10−4
 CG9822 ↑ 2.6 2 × 10−6
 CG14664 ↑ 2.6 2.5 × 10−6
 CG4783 ↑ 2.6 6.5 × 10−6
 CG7377 ↑ 2.6 1.2 × 10−5
 CG13947 ↑ 2.3 2 × 10−5
 CG10112 ↑ 2.1 1.6 × 10−4
 CG14265 ↑ 1.9 9.5 × 10−6
 CG2016 ↑ 1.9 7.7 × 10−5
 CG2444 ↑ 1.6 2 × 10−6
 CG13314 ↑ 1.6 8.9 × 10−5
 CG1124 ↑ 1.6 1.4 × 10−4
 CG11350 ↓ 10.6 1.8 × 10−5
 CG11584 ↓ 2.6 3.5 × 10−6
 CG5765 ↓ 2.5 1.2 × 10−5
 CG7465 ↓ 2.2 2 × 10−6
 CG5866 ↓ 2.1 4 × 10−5
 CG9757 ↓ 1.9 1.5 × 10−5
 CG7876 ↓ 1.9 6.6 × 10−5
 CG11300 ↓ 1.8 1.2 × 10−4
 CG10650 ↓ 1.7 2 × 10−6
 CG14963 ↓ 1.7 1.4 × 10−4
 CG3984 ↓ 1.7 2.6 × 10−4
 CG5084 ↓ 1.6 2 × 10−6
 CG13043 ↓ 1.6 8.2 × 10−5
 CG10953 ↓ 1.5 1.5 × 10−5
 CG13805 ↓ 1.5 6.1 × 10−5
 CG7272 ↓ 1.5 2.5 × 10−4

Microarray analysis revealed that transcript levels for all 100 genes shown displayed a reproducible and significant (P-value <10−3) change of at least 1.5-fold in larvae with pan-neural escargot expression (genotype esgEP2009/+; elav-GAL4/+) relative to control larvae (genotype esgEP683/+; elav-GAL4). All of these 100 genes also carry escargot binding site repeats within their noncoding regions.

DISCUSSION

The Drosophila model—comparisons with humans:

Drosophila has been an important model for examining fundamentally important problems in biology, especially developmental biology and neurobiology (Rubin and Lewis 2000). An important lesson from these studies is that findings are generally applicable to other experimental systems such as C. elegans and mouse due to conservation of fundamental processes and essential gene products (Veraksa et al. 2000; Tickoo and Russell 2002). An implication from cross-species conservation is that Drosophila has the potential to be a powerful system for modeling human pathologies. As for other biological problems, the Drosophila system carries with it advantages arising from advanced genetic and molecular biology methodologies, particularly methods for screening large numbers of mutants to identify candidates for subsequent evaluation and analysis (Ashburner 1989). In this article we are concerned with this general issue and, in particular, the study of Drosophila seizure susceptibility and its application to human seizure disorders.

Seizures in flies and humans have several similarities providing support for the utility of this type of investigation. Previous investigations have shown that for Drosophila: (1) all individuals have a seizure threshold; (2) genetic mutations can modulate seizure susceptibility; (3) electroconvulsive shock therapy in flies raises the threshold for subsequent seizures; (4) seizures spread through the fly CNS along particular pathways that are dependent on functional synaptic connections and recent electrical activity; (5) seizures in flies can be spatially segregated into particular regions of the CNS; (6) Drosophila epilepsy can be ameliorated by the human AEDs sodium valproate, phenytoin, gabapentin, and potassium bromide; and (7) mutations affecting Drosophila Na+ channels are excellent seizure suppressors, consistent with the notion that many AEDs are targeting Na+ channels (Kuebler and Tanouye 2000, 2002; Kuebler et al. 2001; Reynolds et al. 2003; Tan et al. 2004). Also, mutations of two fly genes provide a molecular genetic link with human epilepsy. The jbug mutant is a seizure-sensitive mutant, and the gene encodes fly filamin-1 (X. Ren and M. Tanouye, unpublished results). Mutations in human filamin-1 cause periventricular heterotopia that has a neuronal migration defect and presents with epilepsy (Fox et al. 1998). The tko gene encodes a ribosome-associated protein and may be akin to myoclonic epilepsy ragged-red fiber disease, which is caused by a mutation in a human tRNA gene (Royden et al. 1987).

Seizure-suppressor mutations:

Suppression of seizures has heretofore been done in the context of ameliorating epilepsy by directly altering electrical excitability of the nervous system. Pharmacological agents that act as AEDs typically reduce nervous system excitability by inhibiting voltage-gated Na+ channels (e.g., phenytoin, carbamezapine, lamotrigine, and fosphenytoin) or increase nervous system inhibition via intervention in the GABA neurotransmitter system (sodium valproate, gabapentin, and topiramate; Schmidt 2002). Similarly, in a previous study of genetic seizure-suppressor genes (Kuebler et al. 2001), Drosophila mutations affecting electrical excitability were chosen to test by reverse genetic analysis: Na+ channel genes (para and mlenapts), a K+ channel gene (Sh), and a gap junction channel gene (shak-B). Interestingly, although the Drosophila double mutants showed seizure suppression, behavioral defects were also manifest as side effects of the suppressor mutations. These included sluggish behavior, temperature-sensitive paralysis, abnormal twitching and shaking, infertility, and shortened life span (D. Kuebler and M. Tanouye, unpublished results). These side effects observed in flies are roughly analogous to those occasionally seen in humans in response to certain AEDs.

The identification of esg as a seizure suppressor is surprising because the biological functions with which it has been associated are not obviously electrical excitability functions. In this regard, it differs from the kinds of ion channel and gap junction mutants that we previously identified as suppressors from double-mutant analyses, candidates originally inspired by conventional drug studies (Kuebler et al. 2001). The mechanism underlying esg suppression of seizures remains to be elucidated in further experiments. For example, esg-mediated seizure suppression could be affecting nervous system electrical excitability indirectly through functions not previously suspected for esg. Alternatively, esg could be suppressing seizures in ways that do not involve modifications of electrical excitability. This would be consistent with the emerging observation from molecular studies that many syndromes that present with epilepsy, including human syndromes, mouse knockout mutations, and Drosophila mutations, are not obviously affecting electrical excitability functions (Royden et al. 1987; Pavlidis et al. 1994; Purnam and McNamara 1999; McNamara 1999; Zhang et al. 2002). One might similarly expect that many seizure-suppression mechanisms would exist that are not working via alteration of electrical excitability; esg could be the first of these to be identified. Thus, it is possible that by examining esg gain-of-function seizure suppression, we may gain new insight into mechanisms by which the nervous system can be constructed in ways that reduce seizure sensitivity independent of effects on electrical excitability. Some of the genes whose expression is influenced by neuronal esg may ultimately serve as targets for AEDs, particularly in epileptic neonates and children whose nervous systems are undergoing rapid remodeling. These might be expected to have few nervous system excitability-related side effects.

Evaluation of esg as a seizure suppressor:

We define esg as a seizure-suppressor gene on the basis of gain-of-function mutations that (1) revert the bang-sensitive behavioral phenotype associated with eas, sda, and bss/+ flies and (2) cause an increase in the seizure threshold of eas mutants. This conclusion is bolstered by the identification of five different esgEP alleles (all with independently derived P-element insertions) and one UAS-esg construct (located in a distinct cytological location) that all act as sda suppressors. On the basis of the lack of allele specificity of the esg-sda interaction, mutations of esg appear to be general seizure suppressors. This is expected since neither the esgEP alleles nor UAS-GAL4 would be expected to produce structurally altered gene products; suppression is presumably due to the ectopic expression of a structurally normal protein. It is expected that the five esgEP mutations identified here, as well as the UAS-esg insertion, show similar ectopic expression patterns under elav-GAL4 control and thereby produce seizure suppression in a similar gain-of-function manner.

Neuronal induction of esgEP appears to reduce the fly's overall seizure susceptibility. This assertion is supported by the observation that wild-type, non-BS flies carrying elav-GAL4-activated esgEP display an increased seizure threshold (Table 8). A general reduction in seizure sensitivity would also explain why neuronal esgEP suppresses a variety of BS mutations (Figure 2). Two of the BS mutations examined (eas and sda) encode very different products: eas is an ethanolamine kinase involved in synthesis of the phosphatidyl ethanolamine in neuronal membranes, and sda encodes an aminopeptidase (Pavlidis et al. 1994; Zhang et al. 2002). The third BS mutation is likely to encode yet another very different product (J. Tan and M. Tanouye, unpublished results). These three BS mutations may well reduce the fly's seizure threshold by different mechanisms. The elav-GAL4 activation of esgEP suppresses sda best of all; suppression of eas is intermediate and suppression of bss is the weakest (Figure 2). This is consistent with previous observations on general seizure suppressors that bss is the strongest of the three mutations (in terms of both its reduction of seizure threshold and the facility with which it can be suppressed by secondary mutations that reduce nervous system excitability) and sda is the weakest, with eas being intermediate (Kuebler and Tanouye 2000; Kuebler et al. 2001).

The gain-of-function esgEP mutations that act to suppress seizures cause no other obvious phenotypes whether in a wild-type or an eas background. Thus, esg mutant flies show no obvious nervous system excitability defects: they are not temperature-sensitive paralytics (hypoexcitability) and they do not shake their legs under ether anesthesia (hyperexcitability). Other behaviors also appear to be normal: flies groom, court, mate, jump, and fly. Flies that are eas+; esgEP2009; elav-GAL4 have a seizure threshold that is near the wild-type range (55.5 ± 13.2 V).

Mechanism of esg suppression:

In the experiments presented here, the combined features of esgEP, elav-GAL4, and GeneSwitch begin to give us a picture of seizure suppression. We suggest that esgEP produces seizure suppression via its effect on immature postmitotic larval neurons that differentiate into interneurons of the adult CNS. We suggest further that this could be due to cytoskeletal organization or reorganization that underlies the elaboration and strengthening of synaptic interconnections.

Several other possible explanations of seizure suppression are not supported by the experiments presented here. For example, seizure suppression cannot occur by esgEP ameliorating some acute property of mature neurons in adults. Thus, esgEP suppression is probably not by manipulation of neurotransmitter metabolism, ion channel maintenance, or by other steady-state mechanisms used for maintaining or sustaining nervous system function or structure. This is because the bang-sensitive phenotype of eas is not suppressed by expression of esgEP in the adult nervous system as shown by the GeneSwitch experiment (Table 6). Another alternative explanation is also not supported by the experiments presented here: esgEP-mediated seizure suppression must be unrelated to esg's normal role in facilitating neurogenesis (Hayashi et al. 1993) or its role in polyploidization (Hayashi et al. 1993; Fuse et al. 1996, 1999). This is because elav-GAL4 does not induce esgEP expression in either embryonic or larval neuroblasts (Robinow and White 1988, 1991). The GeneSwitch experiment also shows that embryonic expression of esgEP most likely does not account for its seizure suppression in adults. Furthermore, reducing the dosage of esg, which is normally expressed only in neuroblasts, has no effect on bang sensitivity (Table 5).

The GeneSwitch experiments show that seizure suppression in adult eas flies is apparently due primarily to esgEP induction in the larval stage (Table 6). In larvae, there are four main classes of neurons (Truman 1990), all of which should have esgEP expression driven by elav-GAL4:

  1. Some larval neurons undergo programmed cell death and make no contribution to the adult nervous system. These neurons would have no impact on seizure suppression in adults.

  2. Some larval neurons subserve similar functions in the adult and pass through metamorphosis with little or no restructuring. These neurons may be analogous to mature neurons of adults, suggesting that esgEP induction would have little effect on seizure suppression.

  3. Some larval neurons undergo considerable restructuring during metamorphosis because their adult function is much different from their larval role. The neurons in classes ii and iii appear to form the core of motor and neuromodulatory systems in the adult (Truman 1990).

  4. Some adult-specific neurons have no function in the larva and differentiate after pupariation. Many of these adult-specific neurons appear to be interneurons in the sensory system (Truman 1990).

Seizure suppression by esgEP could be due to its effects in several of these classes; however, the class of adult-specific neurons (class iv) is an especially attractive candidate. These interneurons are involved in integrating sensory signals such as those arising from mechanical “bang” stimulation. Interneurons in the sensory system are numerous and are probably the neurons most greatly affected by electrical stimuli delivered to the brain by HFS. The observation that induction of esgEP in larval interneurons, but not motoneurons, produces adults with reduced seizure susceptibility (Table 7) is also consistent with the notion that esgEP is acting primarily in the class iv neurons. Interneurons of class iv undergo considerable development late in third instar lavae, but can also continue development after eclosion. This development may account for the continued progression of seizure suppression through days 2–3 of the adult stage (Table 6).

One possibility is that larval esg induction in developing interneurons affects their synaptic connections and thereby interferes with the spread of seizures. Class iii larval neurons undergo both new outgrowth and pruning of their dendritic and axonal processes during metamorphosis, and arrested adult-specific neurons (class iv) begin to extend processes after pupariation (Truman 1990). Since esgEP induced in larvae may well persist in pupae, it could affect the expression of genes whose products influence synapse formation or strengthening shortly after pupariation. Pupae do not take up the RU486, which might explain why the degree of suppression by esgEP is lower when activated by elav-GeneSwitch than when activated by elav-GAL4.

An intriguing possibility is that cytoskeletal elements are playing an important role in seizure sensitivity and resistance in Drosophila. Snail family transcription factors such as esg normally promote cell-cell separation during development, at least in part by inhibiting the expression of cadherin, a homophylic cell-cell adhesion molecule linked to components of the actin network (Tanaka-Matakatsu et al. 1996; Hemavathy et al. 2000). Filamin mutants are seizure sensitive in flies (jbug; X. Ren and M. Tanouye, unpublished results) and humans with periventricular heterotopia (Fox et al. 1998); β-integrin was identified as a suppressor of eas (Table 2); collagen type IV is a prominent target of aminopeptidase N (sda) in metastasis (Saiki et al. 1993); and E-cadherin is downregulated by sna and potentially esg (Battle et al. 2000; Cano et al. 2000). Indeed, cytoskeletal reorganization is probably critical in morphological changes in dendritic spines associated with synaptic plasticity (Yuste and Bonhoeffer 2001) and epilepsy (Holmes and Ben-Ari 1998; Isokawa 2000; Meredith et al. 2000; Swann et al. 2000). Cytoskeletal organization and reorganization also plays a prominent role as scaffolding for proteins subserving membrane excitability. Thus, signaling efficiency, reliability, and stability appear to be greatly influenced by the subcellular colocalization of excitability proteins in the photoreceptor and the presynaptic terminal and at the postsynaptic membrane of the neuromuscular junction. Defects in this scaffolding function via abnormal cytoskeletal elements may contribute substantially to the kinds of excitability instability thought to underlie seizure disorders.

The esg gene encodes a presumptive transcriptional repressor with restricted temporal and spatial expression in the nervous system (Whiteley et al. 1992; Fuse et al. 1994). Presumably, ectopic expression of esg in larval interneurons mediates seizure suppression in adults via the activation or repression of one or more target genes. A combination of microarray and computational analyses revealed 100 genes that represent possible targets of neuronal esg (Table 9). Although none of these genes encode cytoskeletal elements, a number of them encode serine protease inhibitors (induced by neuronal esg) or serine proteases (repressed by neuronal esg) that could act on cytoskeletal elements or other proteins that influence synaptic interconnections. Further experiments will be needed to determine which of the 100 genes actually mediates seizure suppression. Such a gene could ultimately serve as target for novel antiepileptic drugs.

Isolation and examination of suppressor mutations is a potentially powerful approach to seizure disorders. It allows the identification of biological processes not previously associated with seizures through genes such as esg. In addition, esg has several properties that make it attractive as a candidate for new AED development: it reduces seizure susceptibility without apparent side effects. While it appears to be effective only during a window of time during neuronal development, this window may serve as an advantage in treating cases in which epilepsy develops early. Nevertheless, esg, or a seizure-suppressor gene with similar properties identified in this or future screens, may allow the development of powerful new treatments for the devastating effects of intractable epilepsy.

Acknowledgments

We are grateful to the Szeged Drosophila Stock Centre in Hungary; the Bloomington Drosophila Stock Center; Todd Laverty, Julie Simpson, and Brian McCabe (UC-Berkeley); and Shigeo Hayashi (Riken Center for Developmental Biology) for Drosophila stocks and to Haig Keshishian and Thomas Osterwalder (Yale University) for stocks and helpful discussions. We gratefully acknowledge Maneesh Gogia, who provided extensive assistance with the initial EP line screen; Hitomi Asahara of the UC-Berkeley Microarray Facility, who analyzed the GeneChip Drosophila Genome arrays; and Charles Scafe, who assisted in the computational analysis of our microarray data. Sheffa Gordon and Jeff Tan provided helpful comments on the manuscript. This work was supported by grants from the Epilepsy Foundation and the National Institute of Neurological Disorders and Stroke (NS-31231) to M.T. and by a summer research grant from the Biology Fellows Program, which is funded by the Howard Hughes Medical Institute for biological sciences majors at UC-Berkeley, to K.D.

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