ABSTRACT
Voltage-gated sodium (Nav) channels play a central role in the generation and propagation of action potentials in excitable cells such as neurons and muscles. To determine how the phenotypes of Nav-channel mutants are affected by other genes, we performed a forward genetic screen for dominant modifiers of the seizure-prone, gain-of-function Drosophila melanogaster Nav-channel mutant, paraShu. Our analyses using chromosome deficiencies, gene-specific RNA interference, and single-gene mutants revealed that a null allele of glutathione S-transferase S1 (GstS1) dominantly suppresses paraShu phenotypes. Reduced GstS1 function also suppressed phenotypes of other seizure-prone Nav-channel mutants, paraGEFS+ and parabss. Notably, paraShu mutants expressed 50% less GstS1 than wild-type flies, further supporting the notion that paraShu and GstS1 interact functionally. Introduction of a loss-of-function GstS1 mutation into a paraShu background led to up- and down-regulation of various genes, with those encoding cytochrome P450 (CYP) enzymes most significantly over-represented in this group. Because GstS1 is a fly ortholog of mammalian hematopoietic prostaglandin D synthase, and in mammals CYPs are involved in the oxygenation of polyunsaturated fatty acids including prostaglandins, our results raise the intriguing possibility that bioactive lipids play a role in GstS1-mediated suppression of paraShu phenotypes.
INTRODUCTION
Defects in ion-channel genes lead to a variety of human disorders that are collectively referred to as channelopathies. These include cardiac arrhythmias, myotonias, forms of diabetes and an array of neurological diseases such as epilepsy, familial hyperekplexia, and chronic pain syndromes (Rajakulendran et al. 2012; Venetucci et al. 2012; Waxman and Zamponi 2014; Dib-hajj et al. 2015; Jen et al. 2016). The advent of genome-wide association studies and next-generation sequencing technology has made the identification of channelopathy mutations easier than ever before. However, the expressivity and disease severity are profoundly affected by interactions between the disease-causing genes and gene variants at other genetic loci. The significance of gene-gene interactions in channelopathies was demonstrated by Klassen et al. (2011), who performed extensive parallel exome sequencing of 237 human ion-channel genes and compared variation in the profiles between patients with the sporadic idiopathic epilepsy and unaffected individuals. The combined sequence data revealed that rare missense variants of known channelopathy genes were prevalent in both unaffected and disease groups at similar complexity. Thus, the effects of even deleterious ion-channel mutations could be compensated for by variant forms of other genes (Klassen et al. 2011).
Drosophila offers many advantages as an experimental system to elucidate the mechanisms by which genetic modifiers influence the severity of channelopathies because of the: wealth of available genomic information, advanced state of the available genetic tools, short life cycle, high fecundity, and evolutionary conservation of biological pathways (Hales et al. 2015; Ugur et al. 2016). In the current study, we focused on genes that modify phenotypes of a voltage-gated sodium (Nav)-channel mutant in Drosophila. Nav-channels play a central role in the generation and propagation of action potentials in excitable cells such as neurons and muscles (Hodgkin and Huxley 1952; Catterall 2012). In mammals, the Nav-channel gene family comprises nine paralogs. These genes encode large (∼260 kDa) pore-forming Nav-channel α-subunits, Nav1.1-Nav1.9, all of which have distinct channel properties and unique patterns of expression involving both subsets of neurons and other cell types. The Drosophila genome contains a single Nav-channel gene, paralytic (para), on the X chromosome. It encodes Nav-channel protein isoforms that share high amino-acid sequence identity/similarity with mammalian counterparts (e.g., 45%/62% with the human Nav 1.1). High functional diversity of para Nav channels is achieved through extensive alternative splicing that produces a large number (∼60) of unique transcripts (Kroll et al. 2015).
A number of para mutant alleles have been identified in Drosophila. They display a variety of physiological and behavioral phenotypes: lethality, olfactory defects, spontaneous tremors, neuronal hyperexcitability, resistance to insecticides, and paralysis or seizure in response to heat, cold, or mechanical shock (Suzuki et al. 1971; Ganetzky and Wu 1982; Lilly et al. 1994; Martin et al. 2000; Lindsay et al. 2008; Parker et al. 2011; Sun et al. 2012; Schutte et al. 2014; Kaas et al. 2016). One of these more recently characterized Nav-channel gene mutants, paraShu, is a dominant gain-of-function allele formerly referred to as Shudderer due to the “shuddering” or spontaneous tremors it causes (Williamson 1971; Williamson 1982). This allele contains a missense mutation that results in the replacement of an evolutionarily conserved methionine residue in Nav-channel homology domain III (Kaas et al. 2016). Adult paraShu mutants exhibit various dominant phenotypes in addition to shuddering, such as defective climbing behavior, increased susceptibility to electroconvulsive and heat-induced seizures, and short lifespan. They also have an abnormal down-turned wing posture and an indented thorax, both of which are thought to be caused by neuronal hyperexcitability (Williamson 1982; Kaas et al. 2016; Kasuya et al. 2019). In the current study, we carried out a forward genetic screen for dominant modifiers of paraShu and found that the phenotypes are significantly suppressed by loss-of-function mutations in the glutathione S-transferase S1 (GstS1) gene. To obtain insights into the mechanisms underlying this GstS1-mediated suppression of paraShu phenotypes, we also performed RNA-sequencing analysis. This revealed changes in gene expression that are caused by reduced GstS1 function in the paraShu background.
MATERIALS AND METHODS
Fly stocks and culture conditions
Flies were reared at 25°C, 65% humidity in a 12 hr light/dark cycle on a cornmeal/glucose/yeast/agar medium supplemented with the mold inhibitor methyl 4-hydroxybenzoate (0.05 %). The exact composition of the fly food used in this study was described in Kasuya et al. (2019). The Canton-S (CS) strain was used as the wild-type control. paraShu, which was originally referred to as Shudderer (Shu) (Williamson 1982) and was obtained from Mr. Rodney Williamson (Beckman Research Institute of the Hope, CA). Drosophila lines carrying deficiencies of interest and a UAS-GstS1 RNAi (GD16335) were obtained from the Bloomington Stock Center (Indiana University, IN) and the Vienna Drosophila Resource Center (Vienna, Austria), respectively. GstS1M26 was obtained from Dr. Tina Tootle (University of Iowa, IA). Genetic epilepsy with febrile seizures plus (GEFS+) and Dravet syndrome (DS) flies (paraGEFS+ and paraDS) (Sun et al. 2012; Schutte et al. 2014) were obtained from Dr. Diane O’Dowd (University of California, Irvine, CA), and bangsenseless (parabss1) flies were obtained from Dr. Chun-Fang Wu (University of Iowa, IA).
Behavioral assays
Reactive climbing
The reactive climbing assay was performed as previously described (Kaas et al. 2016), using a countercurrent apparatus originally invented by Seymour Benzer (Benzer 1967). Five to seven-day-old females (∼20) were placed into one tube (tube #0), tapped to the bottom, and allowed 15 sec to climb, at which point those that had climbed were transferred to the next tube. This process was repeated a total of 5 times. After the fifth trial, the flies in each tube (#0 ∼ #5) were counted. The climbing index (CI) was calculated using the following formula: CI = Σ(Ni x i)/(5 x ΣNi), where i and Ni represent the tube number (0-5) and the number of flies in the corresponding tube, respectively. For each genotype, at least 3 groups were tested.
Video-tracking locomotion analysis
Five-day-old flies were individually transferred into a plastic well (15 mm diameter x 3 mm depth) and their locomotion was recorded at 30 frames per second (fps) using a web camera at a resolution of 320 x 240 pixels for 10 minutes. The last 5 minutes of the movies were analyzed using pySolo, a multi-platform software for the analysis of sleep and locomotion in Drosophila, to compute the x and y coordinates of individual flies during every frame (Gilestro and Cirelli 2009). When wild-type flies are placed in a circular chamber, they spend most of their time walking along the periphery (Besson and Martin 2005), resulting in circular tracking patterns. In contrast, the uncoordinated movements caused by spontaneous tremor or jerking of paraShu mutants lead to their increased presence in the center part of the chambers. The tremor frequency was therefore indirectly assessed by determining the percentage of time that fly stayed inside a circle whose radius is 74.3% of that of the entire chamber. The distance between the fly’s position and the center of the chamber was calculated using the formula (Xi-Xc)2+(Yi-Yc)2<132 where Xi and Yi are the coordinates of the fly, and Xc and Yc are the coordinates of the chamber center (13 mm is 74.3 % of the chamber radius).
Heat-induced seizures
Newly eclosed flies were collected in groups of 20 and aged for 3 to 5 days, after which the heat-induced seizure assay was performed as previously described (Sun et al. 2012). Briefly, a single fly was put into a 15 x 45 mm glass vial at room temperature (Thermo Fisher Scientific, MA) and allowed to acclimate for 2 to 10 minutes. The glass vial was then submerged in a water bath at the specified temperature for 2 minutes, during which the fly was video-taped and assessed for seizure behavior every 5 seconds. Seizure behavior was defined as loss of standing posture followed by leg shaking.
Bang-sensitive assay
The bang-sensitive assay was carried out following a previously described protocol (Zhang et al. 2002). Briefly, 10 flies were raised on conventional food for 2-3 days post-eclosion. Prior to testing, individual flies were transferred to a clean vial and acclimated for 30 minutes. Next, the vials were vortexed at maximum speed for 10 seconds, and the time to recovery was measured. Recovery was defined as the ability of flies to stand upright following paralysis. At least 5 independent bang-sensitive assays were carried out for each genotype.
Male mating assay
Newly eclosed paraShu males with or without one or two copies of GstS1M26 (i.e., paraShu/Y; +/+, paraShu/Y; GstS1M26/+, and paraShu/Y; GstS1M26/GstS1M26) were collected. Each was placed, along with 3-5 day-old wild-type (Canton-S) virgin females, into a plastic tube (75 x 12 mm) containing approximately 1 ml of fly food. Tubes were kept at room temperature (∼ 22°C) for two weeks, at which point they were examined for the presence of progeny.
Gene expression analysis
RNA was purified from one-day-old female flies using Trizol solution (Ambion, Carlsbad, CA) and an RNasy column (Qiagen, Valencia, CA). Flies of four genotypes were used: (1) +/+; +/+, (2) paraShu/+; +/+, (3) +/+; GstS1M26/+, and (4) paraShu/+; GstS1M26/+. For each genotype, RNA-sequence (RNA-seq) analysis was performed (four biological replicates) by the Iowa Institute of Human Genetics (IIHG) Genomics Division (University of Iowa, Iowa). DNase I-treated total RNA (500 ng) samples were enriched for PolyA-containing transcripts by treatment with oligo(dT) primer-coated beads. The enriched RNA pool was then fragmented, converted to cDNA, and ligated to index-containing sequence adaptors using the Illumina TruSeq Stranded mRNA Sample Preparation Kit (Cat. #RS-122-2101, Illumina, Inc., San Diego, CA). The molar concentrations of the indexed libraries were measured using the 2100 Agilent Bioanalyzer (Agilent Technologies, Santa Clara, CA) and combined equally into pools for sequencing. The concentrations of the pools were measured using the Illumina Library Quantification Kit (KAPA Biosystems, Wilmington, MA) and the samples were sequenced on the Illumina HiSeq 4000 genome sequencer using 150 bp paired-end SBS chemistry.
Sequences in FASTQ format were analyzed using the Galaxy platform (https://usegalaxy.org/). The FASTQ files were first evaluated using a quality-control tool, FastQC. The sequenced reads were filtered for those that met two conditions: minimum length >20 and quality cutoff >20. After the quality control assessments were made, the reads were mapped to Release 6 of the Drosophila melanogaster reference genome assembly (dm6) using the STAR tool. The number of reads per annotated gene was determined by running the featureCounts tool. The differential gene expression analyses were performed using the DESeq2 tool (Love et al. 2014), which uses the median of ratios method to normalize counts.
The P-value was adjusted (Padj) for multiple testing using the Benjamini-Hochberg procedure, which controls for the false discovery rate (FDR). For functional enrichment analysis of differentially expressed genes (DEGs), we generated a list of those for which Padj<0.05 and applied it to the GOseq tool for gene ontology analysis (Young et al. 2010).
Statistical analysis
Statistical tests were performed using Sigma Plot (Systat Software, San Jose, CA). For multiple groups that exhibit non-normal distributions, the Kruskal-Wallis one-way ANOVA on ranks test was performed using Dunn’s method post hoc. Data that did not conform to a normal distribution are presented as box-and-whisker plots (boxplots). Values of the first, second, and third quartiles (box) are shown, as are the 10th and 90th percentiles (whisker), unless otherwise stated. Two-way repeated measures ANOVA and Holm-Sidak multiple comparisons were used to analyze temperature-induced behavioral phenotypes. Fisher’s exact test was used to analyze the wing and thorax phenotypes of paraShu mutants. For multiple comparison, the P-values were compared to the Bonferroni adjusted type I error rate for significance. Statistical analyses for RNAseq experiments are described in the previous section “Gene expression analysis by RNA-sequencing”.
RESULTS
The chromosomal region 53F4-53F8 contains a dominant modifier(s) of paraShu
To identify genes that interact with paraShu and influence the severity of the phenotype, we performed a forward genetic screen for dominant modifiers of paraShu using the Bloomington Deficiency Kit (Cook et al. 2012; Roote and Russell 2012). Females heterozygous for paraShu (paraShu/FM7) were crossed to males carrying a deficiency on the second or third chromosome (+/Y; Df(2)/balancer or +/Y;; Df(3)/balancer). The effects of the deficiency on paraShu were evaluated by examining the F1 female progeny trans-heterozygous for paraShu and the deficiency (e.g., paraShu/+; Df/+) for their reactive climbing behavior (see Materials and Methods). As reported previously, paraShu heterozygous females have a severe defect in climbing behavior due to spontaneous tremors and uncoordinated movements (Kaas et al. 2016). Our initial screen identified several chromosomal deficiencies that significantly improved the climbing behavior of paraShu females (Supplemental Table 1; deficiencies that resulted in CI>0.4 are shaded). The current study focuses on one of these deficiencies, Df(2R)P803-Δ15.
The Df(2R)P803-Δ15 deficiency spans chromosomal region 53E-53F11 on the right arm of the second chromosome, but a lack of nucleotide level information regarding its break points made identifying the genomic region responsible for suppression of the paraShu phenotypes challenging. Therefore, we used three additional deficiencies which overlap Df(2R)P803-Δ15 and also have molecularly defined break points (Figure 1A). Phenotypic analysis of paraShu females crossed to these deficiencies revealed that Df(2R)Exel6065 and Df(2R)BSC433, but not Df(2R)Exel6066, had a robust suppressing effect similar to that of Df(2R)P803-Δ15 (Figure 1B). Of the two suppressing alleles, Df(2R)BSC433 carries the smaller deficiency; it spans genomic region 53F4 to 53F8 (Figure 1A).
The suppressive effect of Df(2R)BSC433 was confirmed by analyzing other paraShu phenotypes. The introduction of Df(2R)BSC433 to the paraShu background (paraShu/+; Df(2R)BSC433/+) significantly reduced the severity of the abnormal wing posture, indented thorax (Figure 2A), spontaneous tremors (Figure 2B), and heat-induced seizures (Figure 2C). Two deficiency lines, Df(2R)BSC273 (49F4-50A13) and Df(2R)BSC330 (51D3-51F9), carry a genetic background comparable to that of Df(2R)BSC433. Unlike Df(2R)BSC433, these deficiencies did not lead to suppression of paraShu phenotypes (Figure 2A-C), showing that the effect of Df(2R)BSC433 is not due to its genetic background. Taken together, these results clearly demonstrate that removal of one copy of the genomic region 53F4-53F8 reduces the severity of multiple paraShu phenotypes, and that a dominant paraShu modifier is present in this chromosomal segment.
GstS1 loss of function suppresses paraShu phenotypes
Based on the molecularly defined breakpoints of Df(2R)BSC433 (2R:17,062,915 and 2R:17,097,315), it disrupts six genes that are localized in the 53F4-53F8 region: CG8950, CG6967, CG30460, CG8946 (Sphingosine-1-phosphate lyase; Sply), CG6984, and CG8938 (Glutathione S-transferase S1; GstS1) (Figure 3A). To identify the gene(s) whose functional loss contributes to the marked suppression of paraShu phenotypes by Df(2R)BSC433, we knocked down each gene separately using gene-specific RNAi and examined the effects on paraShu phenotypes. Expression of each RNAi transgene of interest was driven by the ubiquitous Gal4 driver, da-Gal4. RNAi-mediated knockdown of CG6967 or Sply resulted in developmental lethality, whereas knockdown of CG8950, CG30460, CG6984 or GstS1 did not. Among the viable adult progeny with gene-specific knockdown, those in which Gst1S1 was knocked down showed the greatest improvement in wing and thorax phenotypes (Figure 3B). Thus, reduced GstS1 function likely contributes to the suppression of paraShu phenotypes by Df(2R)BSC433. GstS1M26 is a null allele of GstS1 in which the entire coding region is deleted (Whitworth et al. 2005) and homozygotes are viable as adults. We used GstS1M26 to determine how reduced GstS1 function affects paraShu phenotypes. In paraShu/+; GstS1M26/+ flies, both the morphological (downturned wing and indented thorax) and behavioral (spontaneous tremors and heat-induced seizure) phenotypes were considerably milder than in their paraShu/+ counterparts (Figure 4A-C). paraShu phenotypes were not further improved in GstS1M26 homozygotes (paraShu/+; GstS1M26/GstS1M26), where GstS1 function was completely eliminated (Figure 4A-C). Thus, GstS1M26 is a dominant suppressor of female paraShu phenotypes.
GstS1M26 reduced the severity of the male paraShu phenotypes as well, including not only viability, but also courtship behavior and copulation. With respect to viability, paraShu males represented only 8.2% of the male progeny (paraShu/Y and FM7/Y) of a cross between paraShu/FM7 females and wild-type males. Viability was significantly higher when one or two copies of GstS1M26 were introduced into paraShu males (paraShu/Y; GstS1M26/+ and paraShu/Y; GstS1M26/GstS1M26), with paraShu males carrying GstS1M26 representing 31.4% and 53.1% of the total male progeny, respectively (Table 1). The effects of paraShu on male courtship behavior/copulation are a consequence of the strong morphological (down-turned wings and indented thorax) and behavioral (spontaneous tremors and uncoordinated movements) phenotypes. When paraShu males were individually placed into small tubes with four wild-type virgin females and food, only one out of 43 (2.3%) produced progeny. The introduction of GstS1M26 improved the ability to produce progeny; 17 out of 45 paraShu males (37.8%) heterozygous for GstS1M26, and 17 out of 44 paraShu males (38.6%) heterozygous for GstS1M26, produced progeny under the above-mentioned conditions (Table 1).
Loss of function of other glutathione S-transferase genes does not suppress paraShu phenotypes as that of GstS1
The Drosophila melanogaster genome contains 36 genes that encode cytosolic glutathione S-transferases (GSTs). These are classified as Delta (D), Epsilon (E), Omega (O), Theta (T), Zeta (Z), or Sigma (S) based on similarities in the amino-acid sequences of the encoded proteins (Tu and Akgul 2005; Saisawang et al. 2012). GstS1 is the sole Drosophila member of the S class GST genes. To determine whether reductions in the copy number of other GST genes have significant impacts on paraShu phenotypes, we generated paraShu mutants carrying chromosome deficiencies that remove the D, E, O, T, or Z class of GST genes. Given that genes encoding GSTs of the same class tend to form gene clusters, a single chromosome deficiency often removes multiple GST genes of the same class. For example, Df(3R)Excel6164 (87B5-87B10) removes eleven GST genes of the D class (GstD1-D11) (Table 2). For GST genes on the autosomes, paraShu females (paraShu/FM7) were crossed to males carrying a GST deficiency on the second or third chromosome. For the two GST genes on the X chromosome (GstT3 and GstT4), females carrying the deficiency (Df/FM7) were crossed to paraShu males (paraShu/Y) because males carrying this (Df/Y) were not viable. The female progeny carrying both paraShu and a deficiency of interest were examined for their wing posture and thorax morphology. As shown in Table 2, as well as in Figure 2, removing one copy of GstS1 in the context of Df(2R)BSC433 resulted in significant suppression of both the down-turned wing and the indented thorax phenotypes of paraShu, but this ability was not shared by any of the 36 other cytosolic GST genes. In some cases, however, there was partial suppression of one or the other phenotype. For example, when one copy of GstT4 was removed (using Df(1)Exel6245), the wing phenotype, but not the thorax phenotype, was suppressed. Similarly, the indented thorax phenotype, but not the down-turned wing phenotype, was reduced when GstD1-D11 was removed (using Df(3R)Exel6164) and when GstT1-T2 was removed (using Df(2R)BSC132).
GstS1M26 suppresses the phenotypes of other para gain-of-function mutants
We next examined whether phenotypes of other Nav-channel mutants are similarly affected by reduced GstS1 function. Generalized epilepsy with febrile seizures plus (GEFS+) and Dravet syndrome (DS) are common childhood-onset genetic epileptic encephalopathies (Claes et al. 2001; Catterall et al. 2010). Sun et al. (2012) and Schutte et al. (2014) created Drosophila para knock-in alleles, gain-of-function paraGEFS+ and loss-of-function paraDS, by introducing a disease-causing human GEFS+ or DS mutation at the corresponding position of the fly Nav-channel gene. At 40°C, paraGEFS+ homozygous females and hemizygous males exhibit a temperature-induced seizure-like behavior that is similar to, but milder than, that observed in paraShu flies (Sun et al. 2012; Kaas et al. 2016; Kasuya et al. 2019). paraDS flies lose their posture shortly after being transferred to 37°C (Schutte et al. 2014). The temperature-induced phenotype of paraGEFS+ was significantly suppressed when a single copy of GstS1M26 was introduced into paraGEFS+ males (paraGEFS+/Y; GstS1M26/+) (Figure 5A). In contrast, the severity of the phenotype in paraDS males was unaffected by a copy of GstS1M26 (paraGEFS+/Y; GstS1M26/+) (Figure 5B).
We also examined parabss1, which is a hyperexcitable, gain-of-function para mutant allele that displays semi-dominant, bang-sensitive paralysis (Parker et al. 2011). The severity of the parabss1 bang-sensitivity was evaluated as the time for recovery from paralysis that had been induced by mechanical stimulation (10 seconds of vortexing). All parabss1 flies were paralyzed immediately after this mechanical stimulation. By three minutes after mechanical stimulation, 92% of the parabss1 males carrying GstS1M26 (parabss1/Y; GstS1M26/+) had recovered from paralysis and were able to right themselves, whereas only 12.6% of parabss1 males had recovered. The median recovery time for parabss1 males carrying GstS1M26 was 88 seconds and that for parabss1 males was 160 seconds (Figure 5C).
RNA sequencing analysis revealed changes in gene expression caused by paraShu and GstS1M26 mutations
To gain insights into the molecular basis of the GstS1-dependent suppression of paraShu phenotypes, we performed RNA sequencing (RNA-seq) analysis and examined the transcriptome profiles of paraShu and wild-type females with or without GstS1M26. Whole-body transcriptomes of one-day-old females were compared among four genotypes: (1) +/+; +/+, (2) paraShu/+; +/+, (3) +/+; GstS1M26/+, and (4) paraShu/+; GstS1M26/+. Each sample generated at least 21 million sequencing reads, of which >99% met the criteria of having a quality score of >20 and a length of >20 bp. Moreover, duplicate reads encompassed ∼70% of total reads, which was expected from the RNA-seq data (Bansal 2017).
We found that 129 genes were differentially expressed (threshold: adjusted P-value (Padj)<0.05) between paraShu and wild-type females. Among these, 89 and 40 genes were up- and down-regulated, respectively, in paraShu vs. wild-type flies (Supplemental Table 2). Gene ontology analysis of the differentially expressed genes was performed using GOseq tools (Young et al. 2010). Genes associated with four Gene Ontology categories were found to be overrepresented within the dataset (Padj <0.05), each with a functional connection to the chitin-based cuticle: “structural constituent of chitin-based larval cuticle (GO:0008010)”, “structural constituent of chitin-based cuticle (GO:0005214)”, “structural constituent of cuticle (GO:0042302)”, and “chitin-based cuticle development (GO:0040003)” (Table 3A). Within these GO categories, eight genes were differentially expressed between paraShu and wild-type flies (Table 3B).
Among the genes that are differentially regulated (Padj<0.05) between wild-type and paraShu flies (Supplemental Table 2), 16 displayed a fold change of >2 and all are up-regulated in paraShu flies (Table 4). They encode: a transferase (CG32581), two lysozymes (LysC and LysD), two endopeptidases (Jon25Bi and CG32523), one endonuclease (CG3819), two cytochrome P450 proteins (Cyp4p1 and Cyp6w1), three ABC transporters (l(2)03659, CG7300 and CG1494), three transcription factors (lmd, CG18446 and Ada1-1), and two cuticle proteins (Cpr47Ef and Ccp84Ab). Of note, GstS1 was one of the 40 genes that are significantly down-regulated in paraShu females; the average normalized sequence counts (DESeq2) were 50% reduced (15562.21 vs 7782.01, adjusted Padj=0.00036) (Table 5, Figure 6). In general, we did not observe any significant differences in the expression of other GST genes between paraShu and wild-type flies, with the only exceptions being GstD2 and GstO2 (Table 5), down-regulated and up-regulated, respectively.
We next examined how GstS1M26 affects gene expression profiles in paraShu mutants. The fact that GstS1M26 is a deletion mutation that removes the entire coding region of GstS1 (Whitworth et al. 2005) is consistent with our discovery that the levels of the GstS1 transcript were 50% lower than those in wild-type flies when one copy of GstS1M26 was introduced (Figure 6). Since paraShu and GstS1M26 each reduced GstS1 expression by ∼50%, the level of GstS1 expression in paraShu; GstS1M26 double heterozygotes (paraShu/+; GstS1M26/+) was approximately one quarter of that in wild-type flies (Figure 6).
Comparison of paraShu flies to paraShu and GstS1M26 double mutants (paraShu/+; +/+ vs paraShu/+; GstS1M26/+) revealed the differential expression of 220 genes (for Padj<0.05; Supplemental Table 2). Among these, 120 were up-regulated and 100 were downregulated in paraShu plus GstS1M26 flies. Functional enrichment analysis of the differentially expressed genes revealed that genes associated with five specific molecular functions were over-represented. These include “heme binding” (GO:0020037), “tetrapyrrole binding” (GO:0046906), “iron ion binding” (GO:0005506), “oxidoreductase activity, acting on paired donors, with incorporation or reduction of molecular oxygen” (GO:0016705), and “cofactor binding” (GO:0048037) (Table 6A). Thirteen differentially regulated genes were associated with all five GO terms. These all encode heme-containing enzymes CYPs (Table 6B, marked with asterisks) that catalyze a diverse range of reactions and are critical for normal developmental processes and the detoxification of xenobiotic compounds (Hannemann et al. 2007; Isin and Guengerich 2007; Chung et al. 2009).
Among the 220 genes differentially regulated in paraShu in the absence or presence of GstS1M26 (paraShu/+; +/+ vs. paraShu/+; GstS1M26/+), 25 were up-regulated and 12 were down-regulated (cutoff: fold change >2; Table 7). The gene for which the fold-change was greatest in paraShu plus GstS1M26 flies was a member of the cytochrome P450 family, Cyp4p2; it was down-regulated 6.4-fold in the presence of GstS1M26, with Padj=3.5 x 10-48. Notably, three of the top 20 genes with the greatest fold expression changes were members of this family (Cyp4p2, Cyp6a8, Cyp6a2).
DISCUSSION
In the present study, we performed an unbiased forward genetic screen to identify genes that have a significant impact on the phenotypes associated with paraShu, a gain-of-function variant of the Drosophila Nav channel gene. Our key finding was that a 50% reduction of GstS1 function resulted in strong suppression of paraShu phenotypes. Glutathione S-transferases (GSTs) are phase II metabolic enzymes that are primarily involved in conjugation of the reduced form of glutathione to endogenous and xenobiotic electrophiles for detoxification (Hayes et al. 2005; Allocati et al. 2018). Reduced GST function is generally considered damaging to organisms because it is expected to lead to an accumulation of harmful electrophilic compounds in the cell and thereby disturb critical cellular processes. In fact, a previous study showed that loss of GstS1 function enhanced the loss of dopaminergic neurons in a parkin mutant, a Drosophila model of Parkinson’s disease and conversely, overexpression of GstS1 in the same dopaminergic neurons suppressed dopaminergic neurodegeneration in such mutants (Whitworth et al. 2005). Parkin has ubiquitin-protein ligase activity (Imai et al. 2000; Shimura et al. 2000; Zhang et al. 2000) and the accumulation of toxic Parkin substrates likely contributes to the degeneration of dopaminergic neurons in Parkinson’s patients and animal models (Whitworth et al. 2005). These results are consistent with the idea that GstS1 plays a role in the detoxification of oxidatively damaged products to maintain healthy cellular environments. In this regard, it seems counterintuitive that loss of GstS1 function reduces, rather than increases, the severity of paraShu phenotypes.
GstS1 is unique among Drosophila GSTs in several respects. A previous study, based on multiple alignments of GST sequences, had revealed that GstS1 is the sole member of the Drosophila sigma class of GST (Agianian et al. 2003). Unlike other GSTs, GstS1 has low catalytic activity for typical GST substrates, such as 1-chloro-2,4-dinitrobenzol (CDNB), 1,2-dichloro-4-nitrobenzene (DCNB), and ethacrynic acid (EA). Instead, it efficiently catalyzes the conjugation of glutathione to 4-hydroxynonenal (4-HNE), an unsaturated carbonyl compound derived via lipid peroxidation (Singh et al. 2001; Agianian et al. 2003). The crystal structure of
GstS1 indicates that its active-site topography is suitable for the binding of amphipolar lipid peroxidation products such as 4-HNE (Agianian et al. 2003), consistent with the above-mentioned substrate specificity. 4-HNE is the most abundant 4-hydroxyalkenal formed in cells and contributes to the deleterious effects of oxidative stress. It has been implicated in the pathogenesis and progression of human diseases such as cancer, Alzheimer’s disease, diabetes, and cardiovascular disease (Shoeb et al. 2014; Csala et al. 2015). However, 4-HNE also functions as a signaling molecule and has concentration-dependent effects on various cellular processes including differentiation, growth and apoptosis (Zhang and Forman 2017). GstS1 plays a major role in controlling the intracellular 4-HNE concentration to balance its beneficial and damaging effects; one study estimated that it is responsible for ∼70% of the total capacity to conjugate 4-HNE with glutathione in adult Drosophila (Singh et al. 2001). It is thus possible that in paraShu flies the reduction of GstS1 activity enhances the strength of 4-HNE-dependent signaling, leading to changes in neural development and/or function that compensate for the defect caused by the paraShu mutation.
Notably, GSTs are not limited to conjugating glutathione to potentially harmful substrates for their clearance, and it is possible that another such function accounts for our observations. Specifically, some GSTs catalyze the synthesis of physiologically important compounds. With respect to its primary amino acid sequence, Drosophila GstS1 is more similar to the vertebrate hematopoietic prostaglandin D2 synthases (HPGDSs) than to other Drosophila GSTs (Agianian et al. 2003). Indeed, the sequence identity/similarity between Drosophila GstS1 and human HPGDS are 37%/59%, respectively. The Drosophila Integrative Ortholog Prediction Tool (DIOPT; Http://www.flyrnai.org/diopt) (Hu et al. 2011), as well as a recent and extensive bioinformatics analysis (Scarpati et al. 2019), classified GstS1 as a fly ortholog of HPGDS, a sigma-class member of the GST family that catalyzes the isomerization of prostaglandin H2 (PGH2) to prostaglandin D2 (PGD2). Mammalian HPGDS is a critical regulator of inflammation and the innate immune response (Rajakariar et al. 2007; Joo and Sadikot 2012). In light of this observation, findings implicating GstS1 in the development and function of the innate immune system in insects are of interest. For example, in a lepidopteran Spodoptera exigua, the ortholog of Drosophila GstS1, SePGDS, was identified as PGD2 synthase, with the addition of PGD2, but not its precursor (arachidonic acid), rescuing immunosuppression in larvae in response to SePGDS knockdown (Sajjadian et al. 2019). Consistent with this finding, previous studies in Drosophila had revealed that overexpression of GstS1 in hemocytes (the insect blood cells responsible for cellular immunity) leads to increases in the number of larval hemocytes (Stofanko et al. 2008) and that GstS1 in hemocytes is increased ∼10-fold at the onset of metamorphosis (Regan et al. 2013). These results strongly support a significant role for GstS1 in the insect innate immune system. In addition, we previously found that genes involved in innate immune responses were up-reg ulated in the adult head of paraShu mutants (Kaas et al. 2016), suggesting that the neuronal hyperexcitability induced by gain-of-function paraShu Nav channels might lead to activation of the innate immune system. In light of these observations and our current findings it is possibile that the reason that loss of GstS1 function reduces the severity of paraShu phenotypes is that it suppresses the innate immune response through hemocytes and prostaglandin-like bioactive lipids.
Another connection to the innate immune system is the discovery, based on our transcriptome analysis, that CYP genes are over-represented among the genes that are differentially expressed in the paraShu with a GstS1 mutation (Table 5). CYP enzymes are involved in the oxygenation of a wide range of compounds, including eicosanoids such as prostaglandins. In mammals, activation of the innate immune response alters CYP expression and eicosanoid metabolism in an isoform-, tissue-, and time-dependent manner (Theken et al. 2011). GstS1 loss of function may affect paraShu phenotypes by changing the activities of CYP enzymes. Further studies are required to elucidate whether and how CYP genes, as well as the genes involved in innate immune response and bioactive lipid signaling, contribute to GstS1-mediated modulation of paraShu phenotypes.
To obtain insight into functional significance of changes in gene expression, we classified differentially expressed genes. For the 89 genes that were up-regulated by paraShu (paraShu/+ vs. +/+), it is notable that 13 were down-regulated when GstS1M26 was also introduced (paraShu/+ vs. paraShu/+; GstS1M26/+) and that all of the GO categories associated (Padj<0.05) with this group of genes were related to the chitin-based cuticle (Table 3A). On the other hand, among the 40 genes down-regulated by paraShu, only 2 (CG5966 and CG5770) were up-regulated by GstS1M26. Although CG5770 is an uncharacterized gene, CG5966 encodes proteins that are highly expressed in the larval and adult fat bodies and predicted to be involved in lipid catabolism. A human CG5966 homolog encodes pancreatic lipase, which hydrolyzes triglycerides in the small intestine and is essential for the efficient digestion of dietary fat (Davis et al. 1991). Notably, changes in the expression of these cuticle-associated and fat metabolism-associated sets of genes appear to correlate with the phenotypic severity of paraShu in that a change in the phenotype or gene expression induced by paraShu is reversed by GstS1M26. It is possible that changes in the expression of these genes is causative and contributes to the severity of paraShu phenotypes. Alternatively, these changes in gene expression could be a consequence of phenotypic changes caused by other factors. Further functional analysis is required to determine the significance of these genes in controlling paraShu phenotypes.
In contrast to the expression of the above-mentioned genes, that of 24 genes was changed in the same direction by paraShu and GstS1M26. Among these, 17 were up-regulated and 7 were down-regulated. No GO category was identified for any of the gene sets with Padj<0.05. Interestingly, GstS1 itself is one of the genes whose expression is down-regulated by both paraShu and GstS1M26. The observed reduction in levels of GstS1 expression in the GstS1M26 mutant is consistent with it being a deletion allele. However, its down-regulation in paraShu mutants was unexpected. One possible explanation for this finding is that homeostatic regulation at the level of gene expression counteracts the defects caused by hyperexcitability. It will be important to elucidate the mechanisms by which a gain-of-function mutation in a Nav-channel gene leads to down-regulation of the expression of its modifier gene and to reduction of the severity of the phenotype.
A previous genetic screen that was similar to ours revealed that loss of the function of gilgamesh (gish) reduces the severity of the seizure phenotypes of parabss mutant. gish encodes the Drosophila ortholog of casein kinase CK1γ3, a member of the CK1 family of serine-threonine kinases (Howlett et al. 2013). Another modifier of seizure activity was discovered by Lin et al. (2017); this group identified pumilio (pum) based on transcriptome analyses of Drosophila seizure models, with pum significantly down-regulated in both the genetic (parabss) and pharmacological (picrotoxin-induced) models. It was shown that pan-neuronal overexpression of pum is sufficient to dramatically reduce seizure severity in parabss as well as other seizure-prone Drosophila mutants, easily shocked (eas) and slamdance (sda) (Lin et al. 2017). pum encodes RNA binding proteins that act as homeostatic regulators of action potential firing, partly by regulating the translation of para transcripts (Lin et al. 2017). In addition, we recently discovered that the seizure phenotypes of paraShu and other seizure-prone fly mutants are significantly suppressed when the flies are fed a diet supplemented with milk whey (Kasuya et al. 2019). It remains unclear how these genetic and environmental factors interact with one another in complex regulatory networks and how they modify the neurological phenotypes of mutants. A mechanistic understanding of such functional interactions is expected to reveal the molecular and cellular processes that are critical for the manifestation of hyperexcitable phenotypes in Drosophila mutants, and to provide useful insights into the corresponding processes in vertebrate animals, including humans.
Acknowledgements
We thank Mr. Ryan Jewell and Mr. Pei-Jen Wang (Department of Medical Research, Tungs’ Taichung MetroHarbor Hospital, Taichung City, Taiwan 43503, ROC) for their technical assistance.