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Research Article

Regulation of Synaptic nlg-1/Neuroligin Abundance by the skn-1/Nrf Stress Response Pathway Protects against Oxidative Stress

  • Trisha A. Staab,

    Affiliations: Integrative Biology of Disease Graduate Program, University of Southern California, Los Angeles, California, United States of America, Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America

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  • Oleg Egrafov,

    Affiliation: Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America

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  • James A. Knowles,

    Affiliation: Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America

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  • Derek Sieburth mail

    sieburth@usc.edu

    Affiliation: Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America

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  • Published: January 16, 2014
  • DOI: 10.1371/journal.pgen.1004100
Corrections

10 Apr 2014: The PLOS Genetics Staff (2014) Correction: Regulation of Synaptic nlg-1/Neuroligin Abundance by the skn-1/Nrf Stress Response Pathway Protects against Oxidative Stress. PLoS Genet 10(4): e1004361. doi: 10.1371/journal.pgen.1004361 | View correction

Abstract

The Nrf family of transcription factors mediates adaptive responses to stress and longevity, but the identities of the crucial Nrf targets, and the tissues in which they function in multicellular organisms to promote survival, are not known. Here, we use whole transcriptome RNA sequencing to identify 810 genes whose expression is controlled by the SKN-1/Nrf2 negative regulator WDR-23 in the nervous system of Caenorhabditis elegans. Among the genes identified is the synaptic cell adhesion molecule nlg-1/neuroligin. We find that the synaptic abundance of NLG-1 protein increases following pharmacological treatments that generate oxidative stress or by the genetic activation of skn-1. Increasing nlg-1 dosage correlates with increased survival in response to oxidative stress, whereas genetic inactivation of nlg-1 reduces survival and impairs skn-1-mediated stress resistance. We identify a canonical SKN-1 binding site in the nlg-1 promoter that binds to SKN-1 in vitro and is necessary for SKN-1 and toxin-mediated increases in nlg-1 expression in vivo. Together, our results suggest that SKN-1 activation in the nervous system can confer protection to organisms in response to stress by directly regulating nlg-1/neuroligin expression.

Author Summary

Organisms have evolved mechanisms to protect themselves at the cellular level in response to a variety of environmental stresses. Oxidative stress, caused by an imbalance in the cellular production of free radicals and endogenous antioxidant defenses, can be particularly detrimental to the nervous system. Indeed, elevated levels of oxidative stress have been linked to nearly all neurodegenerative diseases. Therefore, understanding how living creatures protect themselves against oxidative stress, from a cellular to a systemic level, is vital. Here, we have found that increased stress activates a pathway that increases the amount of certain proteins found at neuronal synapses. This presents an interesting model in which, in response to stress, neurons might attempt to enhance the strength of the synapse to prevent degeneration.

Introduction

Oxidative stress is generated in cells when an imbalance occurs between the production of electrophilic reactive species and the endogenous defenses against these harmful molecules [1]. Increased reactive oxygen species (ROS) can cause damage to cellular components such as lipids, DNA, and proteins, and can result in a myriad of detrimental effects, including protein aggregation, changes in cell signaling, or altered cell cycle progression. Given the nervous system's high metabolic demands, high lipid and iron content, and low regenerative ability, it is not surprising that oxidative stress is particularly detrimental to this tissue; indeed, elevated levels of reactive species have been implicated in a range of neurodegenerative diseases including Parkinson's disease, Alzheimer's disease and amyotrophic lateral sclerosis [2][4]. In multicellular organisms, investigating pathways that can mitigate the consequences of elevated oxidative stress on a cellular and organismal level is an ongoing area of investigation.

The Nrf (nuclear factor E2-related factor) family of transcription factors controls the primary response to oxidative and xenobiotic stress in mammals [5][7]. Studies of Nrf2 have established a critical role for the transcription factor in defending tissues from oxidative damage [7], [8]. During normal conditions, Nrf2 is sequestered in the cytoplasm by the kelch-domain containing protein Keap1; in response to stress, Keap1 releases Nrf2, allowing the transcription factor to translocate into the nucleus and initiate transcription of downstream targets by binding to the antioxidant response element (ARE) in the promoter region of stress response genes [6], [9].

Nrf2 is ubiquitously expressed, and in neurons, increased Nrf2 activity protects against toxicity by hydrogen peroxide, glutamate, and mitochondrial toxins [10], [11]. Microarray studies using neuronal cultures lacking Nrf2 have identified detoxifying, antioxidant and defense genes to be regulated by the transcription factor [10][12]. Interestingly, these studies have also found changes in the expression of genes involved in a variety of processes, including cell signaling and calcium homeostasis, as well as neuron-specific genes, but the functional significance of these changes has not been determined.

In C. elegans, the Nrf family homolog SKN-1 [13] confers cellular and organismal protection from a variety of environmental stressors. Although most studies have examined detoxification and stress response in the intestine, a role for SKN-1 in the nervous system is emerging. SKN-1 functions in a pair of neurons to promote longevity [14], and systemic knockdown of skn-1 increases dopaminergic neuron degeneration during methylmercury, aluminum and manganese toxicity [15][17]. Furthermore, loss of skn-1 enhances manganese-induced organismal death [18]. In C. elegans, the abundance of SKN-1 is negatively regulated in part by the DDB-1/CUL-4 ubiquitin ligase substrate targeting protein WDR-23, which is proposed to function in an analogous manner as Keap1 to promote degradation of SKN-1 during non-stressed conditions. [19], [20]. Mutants lacking wdr-23 have increased SKN-1 protein levels, express high levels of genes involved in antioxidant and xenobiotic responses, and are resistant to stress [19][21].

In this study, we find that SKN-1 is negatively regulated by WDR-23 in cholinergic motor neurons. Using whole transcriptome RNA sequencing (RNAseq) of wdr-23 mutants expressing functional wdr-23a in the nervous system, we identify 810 genes whose expression is likely to be regulated by SKN-1; one of these is the cell adhesion molecule nlg-1/neuroligin. Both nlg-1 expression in neurons and NLG-1 protein abundance at synapses increase in mutants with increased SKN-1 activity as well as in animals exposed to toxins that generate mitochondrial stress. Furthermore, increasing NLG-1 protein abundance enhances survival following toxin treatment, and loss of nlg-1 diminishes SKN-1-mediated toxin resistance. Together, these results support a role for SKN-1 in promoting organismal survival by regulating synaptic neuroligin abundance.

Results

WDR-23 regulates SKN-1 abundance in neurons

The skn-1 locus encodes three isoforms, skn-1a, skn-1b and skn-1c (wormbase.org), which differ in their N termini and utilize unique transcriptional start sites. skn-1c is primarily detected in the intestine; skn-1b, on the other hand, is expressed principally in a pair of sensory neurons and is involved in dietary restriction induced longevity [13], [14]. The expression of the longest isoform, skn-1a, however, has not been examined. To examine the expression of skn-1a, we generated a fluorescent reporter by using a 7.3 kb fragment upstream of the skn-1a start site to drive gfp fused to a nuclear localization signal (nls-gfp). skn-1a is a downstream gene within the bec-1/beclin operon [14], [22], [23], and the 7.3 kb fragment includes the bec-1 coding region and 3.3 kb upstream of bec-1 (Figure 1A). In animals expressing this construct, fluorescence was observed in many tissues, as previously reported [24], [25], as well as in cholinergic neurons of the ventral cord (labeled with the unc-17/VAChT promoter expressing mCherry) and GABAergic neurons (unlabeled ventral cord neurons; Figure 1B).

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Figure 1. SKN-1 expression and WDR-23 sub-cellular localization in motor neurons.

A) Schematic of bec-1 and skn-1 genetic loci. Locations of gfp tags used in this study indicated. B) Co-localization of nls-gfp driven by the 7.3 kb Pbec-1 promoter (vjEx254) with Punc17::rfp (nuIs321) in cholinergic motor neurons. Arrowheads indicate cholinergic motor neurons; arrow indicates GABAergic neuron. C–D) Left, Localization of WDR-23a::GFP (vjEx423; C) and WDR-23b::GFP (vjEx426; D) in ventral cord motor neurons expressed under the snb-1 promoter fragment. Neuronal cell bodies are identified by the unc-17 promoter driving rfp (nuIs321) for reference. Right, WDR-23a::GFP (vjIs26; C) and WDR-23b::GFP (vjEx7; D) co-localization with the synaptic vesicle associated protein mCherry::SNB-1 (vjEx339) in motor neuron axons using the unc-129 promoter fragment. E) WDR-23a::GFP (vjIs26) co-localization with the mitochondrial marker (INVOM::RFP; vjEx663) in motor neuron axons in wild type, unc-104/kinesin mutants (E′) and drp-1/Drp1 mutants (E″). Scale bars represent 10 µm.

doi:10.1371/journal.pgen.1004100.g001

WDR-23 has two isoforms, WDR-23a and WDR-23b, which are expressed in neurons of the ventral cord [19][21]. In cholinergic neurons of the ventral cord, a WDR-23a::GFP fusion protein was found in cell bodies and in axons where it adopted a punctate pattern of fluorescence (Figure 1C), whereas WDR-23b::GFP localized exclusively to nuclei (Figure 1D). In axons, WDR-23a puncta co-localized with a synaptic vesicle marker (Figure 1C), and WDR-23a fluorescence became diffuse in animals lacking unc-104/kinesin (Figure 1E′), which is required for trafficking of organelles along microtubules in neurons [26]. This suggests that WDR-23a associates with presynaptic organelles. WDR-23a also co-localized with a mitochondrial marker at synapses (Figure 1E), and in unc-104 mutants, WDR-23a puncta remained co-localized with displaced mitochondria in axons (Figure 1E′). In mutants defective in drp-1/Drp1, a protein required for normal mitochondrial fission [27], both WDR-23 and mitochondrial markers became displaced in axons (Figure 1E″). Together, these results suggest that WDR-23a may associate with presynaptic organelles, including mitochondria, at synapses. Consistent with this, WDR-23a co-localizes with outer mitochondrial membrane markers when expressed in muscle cells [20].

To test whether WDR-23 regulates the abundance of SKN-1 in the nervous system, as it does in the intestine [19], [21], we examined the abundance of SKN-1a::GFP fusion proteins in motor neurons. We drove SKN-1a::GFP expression using the cholinergic unc-17/VAChT promoter since unc-17 is not transcriptionally regulated by wdr-23 [20], and therefore changes in SKN-1a::GFP should reflect changes in protein abundance and not skn-1 expression. In wild type animals, SKN-1a::GFP fluorescence was detected in 49% (n = 272) of ventral cord cholinergic neurons (Figure 2A), consistent with low levels of SKN-1 reported in the intestine in non-stressed animals [13]. In wdr-23 mutants, SKN-1a::GFP fluorescence was detected in a larger fraction of neurons compared to wild type animals (77%, n = 349). In addition, the average fluorescence intensity of SKN-1a::GFP in neuronal cell bodies of wdr-23 mutants increased compared to wild type controls (Figures 2A and 2B; mean fluorescence±sem wt: 44.7±2.8; wdr-23: 62.6±3.1; p<0.001, Student's t-test). Together, these results suggest that WDR-23 negatively regulates the abundance of SKN-1a in motor neurons.

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Figure 2. WDR-23 regulates SKN-1 abundance in motor neurons.

A) Representative images of SKN-1a::GFP driven by the unc-17 promoter (vjIs45) in cholinergic motor neurons of wild type, left, and wdr-23 mutants, right. Cell bodies identified by presence of RFP expressed under the unc-17 promoter (nuIs321). B) Quantification of SKN-1a::GFP (vjIs45) in wild type (N = 28) and wdr-23 (N = 33) mutants. Cells were classified as low, medium or high expressing neurons based on average SKN-1a::GFP fluorescence per cell (see methods). Scale bar represents 10 µm.

doi:10.1371/journal.pgen.1004100.g002

A subset of neuronal genes is regulated by SKN-1

wdr-23 mutants have a variety of developmental and behavioral defects including reduced locomotion, resistance to stress, small size, and developmental delay. Each of these defects is suppressed by loss of skn-1 [19][21], suggesting that the primary function of WDR-23 is to negatively regulate SKN-1. We previously identified 2,285 transcripts that are significantly up-regulated in wdr-23 mutants compared to wild type controls using RNAseq [20]. To identify genes among these that are regulated by WDR-23 specifically in the nervous system, we performed RNAseq of wdr-23 mutants expressing an integrated array of full-length wdr-23a cDNA driven by the pan-neuronal snb-1 promoter (referred to as WDR-23 rescue). Of the 2,285 genes whose expression increased in wdr-23 mutants, transcripts of 810 were significantly reduced in the WDR-23 rescue animals (Figure 3A and Table S1). The average expression levels of the rescued genes in wdr-23 mutants was 20.74 fold above wild type which is similar to the average of 23.99 for all 2,285 genes, indicating that the rescue was not caused by a bias generated by rescuing specifically low expressing genes in wdr-23 mutants.

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Figure 3. Analysis of whole transcriptome RNA sequencing of wdr-23 mutants expressing neuronal WDR-23.

A) Correlation plot of RNAseq reads per kilobase per million reads (RPKM) for WDR-23 rescue compared to wdr-23 mutants, for 2,285 genes previously identified to be significantly different between wild type and wdr-23 mutants [20]. Correlation plot includes 2,118 genes, as successful reads were not obtained for all genes in the rescuing line. WDR-23 rescue denotes wdr-23 mutants with expression of WDR-23a (using snb-1/synaptobrevin promoter, nuIs225). Genes that do not rescue (indicated in blue) have similar RPKM for wdr-23 mutants and the WDR-23 rescue, whereas genes that rescue (indicated in red) have statistically higher RPKM for wdr-23 mutants. B-C) Characterization of 810 genes significantly different in wdr-23 versus WDR-23 rescue (nuIs225). B) Right, Breakdown by GO term of genes with predicted functions identified by DAVID (492 genes). Left, Breakdown by GO term of rescued genes expressed specifically in the nervous system (43 genes). C) Distribution by tissue expression of genes with WormMart reported expression patterns (173 genes).

doi:10.1371/journal.pgen.1004100.g003

We used the Database for Annotation, Visualization and Integrated Discovery (DAVID) [28], to assign GO terms for the 810 rescued genes; of the 492 genes with predicted functions, many genes involved in stress, detoxification and metabolism were identified, consistent with the known stress response roles of skn-1 (Figure 3B). The expression of 177 genes has been experimentally examined (wormbase.org), and 93 of these are expressed in the nervous system (Figure 3C and Table S1). A subset of these is expressed exclusively in neurons (Table 1), including eight genes encoding insulins or FMRFamide related peptides, as well as three genes encoding proteins involved in neuropeptide processing—egl-3/proprotein convertase, egl-21/carboxypeptidase, and sbt-2/7B2. We also identified five genes encoding synaptic proteins, including unc-13/Munc13, nlg-1/neuroligin, pde-4/cyclic nucleotide phosphodiesterase, dlk-1/MAPKKK, and cab-1/NPDC-1 [29][32]. Together, these results suggest that neuronal WDR-23, possibly through SKN-1, regulates the expression of genes involved in neuroendocrine signaling and synaptic function.

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Table 1. Neuronal targets of SKN-1 identified by RNA sequencing.

doi:10.1371/journal.pgen.1004100.t001

To identify genes that may be direct SKN-1 targets, we examined the promoters of the neuronal genes for the presence of consensus SKN-1 binding sites. SKN-1 is predicted to bind the consensus sequence WWTDTCAT on either strand in the promoters of target genes. Using the web based program Regulatory Sequence Analysis Tools (RSAT), we scanned 1000 bp promoter fragments for each gene for the SKN-1 consensus [33]; the promoter fragments for 70 of the 93 neuronal genes contained at least one potential binding site (Table S1). We then cross-referenced the list of rescued neuronal genes with SKN-1 ChIP-seq datasets taken from L1, L3 and L4 stage animals (ModEncode and [34]) and found that 31 genes contained significant SKN-1 peaks within 2000 bp upstream or 500 bp downstream of the transcription start site (Table S1). These results indicate that a subset of the neuronal genes identified by RNAseq may be direct binding targets of SKN-1.

nlg-1 expression is positively regulated by SKN-1

Among the neuronal genes containing SKN-1 consensus sites in their promoter, the cell adhesion molecule nlg-1/neuroligin emerged as an interesting candidate since it has been implicated in C. elegans stress response and in synaptic function [30], [35], [36]. nlg-1 is the sole neuroligin family ortholog in C. elegans, and NLG-1 is expressed in cholinergic motor neurons where it localizes to presynaptic terminals [35], [37].

To examine the effects of skn-1 on nlg-1 expression, we constructed reporter strains consisting of a 3.6 kb nlg-1 rescuing promoter fragment [30] driving soluble gfp (Pnlg-1::gfp, vjIs47, and vjIs48; Figure 4A). In wild type animals, we detected Pnlg-1::gfp fluorescence in a few head neurons and in ventral nerve cord neurons, previously reported to be DA and VA class cholinergic motor neurons [30], [35]. nlg-1 reporter fluorescence has been reported at low levels in muscles [30], but we did not detect Pnlg-1::gfp in muscle cells in either transgenic line. In mutants lacking wdr-23, Pnlg-1::gfp fluorescence in motor neurons increased approximately 5 fold (Figure 4B and 4C), in agreement with the 5.6 fold increase in nlg-1 transcript levels detected by RNAseq [20]. Cell-specific expression of either wdr-23a or wdr-23b cDNA in nlg-1 expressing cells (using the nlg-1 promoter) fully rescued the increased Pnlg-1::gfp fluorescence to wild type levels (Figures 4B and 4C), indicating that the regulation of nlg-1 expression by wdr-23 is cell autonomous.

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Figure 4. nlg-1 transcription is regulated by neuronal SKN-1.

A) Schematic of Pnlg-1::gfp reporters; vjIs47 and vjIs48 contain a 3.6 kb nlg-1 promoter driving gfp. Location of SKN-1 binding site and mutated site indicated. B) Top, Representative images of Pnlg-1::gfp (vjIs47) expression in the ventral cord of indicated strains. WDR-23a and WDR-23b rescues indicate isoform specific cDNA driven by the nlg-1 promoter (vjEx447 and vjEx436, respectively) and expressed in wdr-23 mutants. Bottom, Representative images of the extra-chromosomal transgene Pnlg-1(Δbs)::gfp (vjEx391) in the indicated strains. C) Quantification of Pnlg-1::gfp (vjIs47) and Pnlg-1(Δbs)::gfp (vjEx391) in indicated strains. Sample sizes indicated. Values normalized to wild type (vjIs47) or deleted binding site (vjEx391), respectively. D) Representative images of Pnlg-1::gfp (vjIs48) heterozygotes in indicated strains. skn-1 indicates zu67 loss of function allele, unless otherwise indicated. E–F) Normalized quantification of Pnlg-1::gfp (vjIs48) heterozygotes (E), Pnlg-1::gfp (vjIs48) homozygotes and Pnlg-1(Δbs)::gfp (vjEx756, F) in indicated strains. All nlg-1 reporters were imaged using the same microscope settings, and expression of reporters was similar between strains (total fluorescence vjIs48 in wild type animals: 3280.6±155.6; total fluorescence of vjEx756 in wild type animals: 2919.7±241.7). G) Electrophoretic mobility shift assay for binding of full-length SKN-1a to the consensus sequence at −396 bp. Lysate was either unprogrammed control or programmed to express SKN-1a. Competitor is 20, 100 and 200 fold molar excess of unlabeled probe. Scale bar represents 10 µm; error bars represent ±sem; ***p<0.001.

doi:10.1371/journal.pgen.1004100.g004

In skn-1 mutants lacking the skn-1a/c isoforms (zu67 mutants), Pnlg-1::gfp expression was similar to wild type. However, skn-1 is required for the increased Pnlg-1::gfp fluorescence caused by loss of wdr-23, since skn-1 mutations reduced the Pnlg-1::gfp reporter fluorescence of wdr-23 mutants to wild type levels (Figures 4D and 4E). Conversely, Pnlg-1::gfp fluorescence increased by ~35% in mutants in which skn-1 is hyperactive (lax120gf or lax188gf; Figure 4F). lax120gf and lax188gf are thought to prevent SKN-1a/c interaction with mitochondrial docking proteins, resulting in an activated pool of SKN-1a/c [38]. Together, these results show that skn-1 is not necessary for baseline nlg-1 expression in motor neurons, but skn-1 activation positively regulates nlg-1 expression.

The nlg-1 promoter has four SKN-1 binding consensus sites within 500 bp upstream of the transcriptional start site (Figure S1). Promoter alignments between the nematode Caenorhabditis species elegans, briggsae, japonica and remanei revealed that one of these sites located 396 bp upstream of the C. elegans start is completely conserved in all species (Figure S1). This site has the sequence AATGTCAT, which matches the consensus perfectly. The underlined region is predicted to be a largely invariant sequence that directly interacts with SKN-1 [13], [39]. We mutated AATGTCAT at −396 to AACTGCAG in the Pnlg-1::gfp reporter to create a reporter with a deleted binding site (the Pnlg-1(Δbs)::gfp reporter; Figure 4A). Basal motor neuron fluorescence of transgenic animals expressing Pnlg-1(Δbs)::gfp was similar to transgenic animals expressing the Pnlg-1::gfp reporter (Figure 4B). However, Pnlg-1(Δbs)::gfp reporter fluorescence did not increase in either wdr-23 mutants or in skn-1(gf) mutants compared to wild type controls (Figure 4B, 4C and 4F), suggesting that this site is critical for skn-1-mediated increases in nlg-1 expression. To test whether SKN-1 binds to this site, we performed electrophoretic mobility shift assays. In vitro translated SKN-1a bound to labeled probes containing the putative SKN-1 binding site in the nlg-1 promoter, and binding was disrupted by the addition of excess unlabeled probe (Figure 4G). These results indicate that the SKN-1 binding site at −396 in the nlg-1 promoter can be bound by SKN-1 in vitro and is critical for skn-1-induced expression of nlg-1 in vivo.

Synaptic abundance of NLG-1/neuroligin levels is regulated by SKN-1 signaling

To determine whether the transcriptional regulation of nlg-1 by SKN-1 impacts NLG-1 protein levels at synapses, we examined synaptic levels of NLG-1 in animals expressing a fusion protein in which GFP was inserted near the C-terminus of NLG-1 (NLG-1-GFP, vjEx561 and vjIs105). This fusion protein is functional [30] and localizes to presynaptic terminals in motor neurons [35], [37]. NLG-1-GFP driven by the nlg-1 promoter adopted a punctate pattern of fluorescence in the dorsal and ventral cords, where presynaptic terminals of DA and VA class motor neurons are located, respectively (Figure 5A). We examined changes in the synaptic abundance of NLG-1-GFP by measuring the average punctal fluorescence intensity (peak fluorescence) and synapse number (interpunctal interval) [40], [41]. In skn-1(gf) mutants, the punctal fluorescence of NLG-1-GFP significantly increased in both the dorsal and ventral cords, while the interpunctal interval did not change (Figure 5A, 5B and Table S2). These results indicate that SKN-1 positively regulates synaptic NLG-1 protein abundance but does not affect synapse number.

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Figure 5. Synaptic NLG-1 levels are regulated by SKN-1.

A) Representative images of Pnlg-1::nlg-1-gfp (vjIs105) in the dorsal (top) and ventral (bottom) cords of the indicated strains. skn-1(gf) indicates lax188 gain-of-function allele. B) Quantification of punctal fluorescence (peak), cord fluorescence (cord) and interpunctal interval (IPI) of Pnlg-1::nlg-1-gfp (vjIs105) in dorsal (wild type n = 31, skn-1(gf) n = 29) and ventral cords (wild type n = 32, skn-1(gf) n = 26) of the indicated strains. Cord fluorescence could not be measured for vjIs105 in the dorsal cord because it was not above background levels. Scale bar represents 10 µm; error bars represent ±sem; ***p<0.001.

doi:10.1371/journal.pgen.1004100.g005

Environmental stress induces NLG-1 expression

We next tested whether toxins that induce oxidative stress could increase neuroligin expression and abundance in motor neurons. We found that exposure to the mitochondrial stressors juglone or sodium arsenite, both of which have been shown to activate skn-1 [42], [43], robustly induced Pnlg-1::gfp fluorescence in motor neurons compared to untreated animals (Figure 6A and 6B). Treatment with an organic mercury (thimerosal) increased nuclear SKN-1::GFP in the intestine (Figure S2) and also increased Pnlg-1::gfp fluorescence (Figure 6B). However, these toxins had no effect on Pnlg-1(Δbs)::gfp fluorescence (Figure 6A and 6B). We found that juglone treatment significantly increased punctal fluorescence of NLG-1-GFP, without changing the interpunctal interval (Figure 6C, 6D and Table S2). These results suggest that activation of skn-1 by oxidative stress increases NLG-1 synaptic abundance by increasing nlg-1 expression in neurons.

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Figure 6. nlg-1 transcription is regulated by the SKN-1 pathway.

A–B) Representative images (A) and quantification (B) of animals expressing the Pnlg1::gfp (vjIs47) or Pnlg-1(Δbs)::gfp (vjEx756) reporters exposed to control, 120 µM juglone, 5.0 mM sodium arsenite or 35 µM thimerosal. L4 stage animals were exposed to drug overnight for 14 hours, followed by 2–4 hour recovery prior to imaging. Values of stressed animals were compared to non-stressed animals of the same genotype to determine significant changes in response to stress. Sample sizes indicated. C–D) Representative images (C) and quantification (D) of Pnlg-1::nlg-1-gfp (vjIs105) in the dorsal cord of animals exposed to control (n = 30) or 120 µM juglone (n = 29) treatments. E–F) Representative images (E) and quantification (F) of Pnlg-1::gfp (vjIs47) in indicated strains exposed to control or 120 uM juglone. Sample sizes indicated. Scale bar represents 10 µm; error bars represent ±sem; **p<0.01, ***p<0.001.

doi:10.1371/journal.pgen.1004100.g006

Genetic regulation of nlg-1 expression

To further explore how SKN-1 activity is regulated in the nervous system, we tested the impact of altering insulin signaling, mitochondrial respiration or synaptic activity on Pnlg-1::gfp expression. The insulin-like signaling (IIS) pathway regulates SKN-1 in the intestine [44]; activation of DAF-2/insulin-like receptor leads to SKN-1 phosphorylation by SGK-1/SGK, resulting in decreased SKN-1 activity. We examined putative null sgk-1 mutants and found that Pnlg-1::gfp reporter fluorescence increased by ~25% (Figure S3). Conversely, during conditions of stress, PMK-1/p38 MAPK phosphorylates SKN-1, resulting in nuclear SKN-1 translocation [45]. We found no change of baseline Pnlg-1::gfp fluorescence in mutants lacking either sek-1/MAPKK or pmk-1 (Figure 6E, 6F and S3). However, sek-1 and pmk-1 mutations suppressed the juglone-induced increase in Pnlg-1::gfp reporter fluorescence (Figure 6E and 6F).

C. elegans mutants with impaired mitochondrial respiration, for example the conserved clk-1/COQ7, necessary for the biosynthesis of coenzyme Q, and isp-1/ISP, a subunit of mitochorial complex III, are resistant to toxins that increase oxidative damage [46]. pink-1/PINK1, on the other hand, is predicted to act in conjunction with the E3 ligase Parkin to initiate mitophagy of damaged mitochondria [47], [48]. Pnlg-1::gfp expression increased mildly in mutants lacking clk-1, but not isp-1. Conversely, loss of pink-1 resulted in a significant decrease of Pnlg-1::gfp fluorescence (Figure S3).

Finally, in order to test whether neuronal activity regulates SKN-1 in the nervous system, we examined mutants with increased synaptic activity (dgk-1/diacylglycerol kinase or goa-1/Gαo) and mutants with decreased activity (unc-2/VGCC or unc-18/nSec1), as well as mutants lacking mef-2/MEF and mir-1/microRNA, which are involved in a retrograde synaptic signaling pathways that is dependent on nlg-1 [35]. We detected no change in reporter fluorescence in these mutants (Figure S3). Together, these results indicate that insulin signaling and mitochondrial metabolism contribute to the activation of SKN-1 in neurons, while changes in synaptic transmission do not seem to impact neuronal SKN-1 activity.

NLG-1 promotes organismal survival during SKN-1-dependent response to mitochondrial stress

We next sought to determine whether nlg-1 mediates the protective effects of skn-1 activation in response to environmental toxins. skn-1 mutants are hypersensitive to toxicity induced by arsenite and juglone treatment (Figure 7A and S4; [42], [43]). In addition, we found that skn-1 mutants were sensitive to thimerosal-induced toxicity (Figure S5), in agreement with studies showing SKN-1 protects from metal toxicity [15], [18]. In contrast, animals lacking wdr-23 were resistant to toxicity of both thimerosal and juglone, and resistance was completely blocked by loss of skn-1 (Figures 7A and S5; [43]). Similarly, hyperactive skn-1(gf) mutants were resistant to juglone toxicity (Figure 7B and S6). Interestingly, loss of wdr-23 did not confer protection against sodium arsenite (Figure S4), suggesting specificity in drug resistance in mutants lacking wdr-23.

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Figure 7. NLG-1 is protective to juglone.

A–B) Survival curves of indicated strains on 200 uM juglone. C) Survival curve of indicated strains on 400 uM juglone. D) Model for SKN-1-dependent transcription of nlg-1. Stress activated the SKN-1 pathway, which increases nlg-1 expression; increased NLG-1 activity promotes organism survival. Error bars represent ±sem. Log rank tests were used to identify significant differences between genotypes and reported in Table S3. Curves depict average values for four replicates of n = 40 per genotype.

doi:10.1371/journal.pgen.1004100.g007

nlg-1 mutants are hypersensitive to heavy metal toxicity by thimerosal and oxidative stress induced by paraquat [30]. We found that mutants lacking nlg-1 were also more sensitive to juglone toxicity (Figure 7A and S5). In contrast, transgenic animals over-expressing NLG-1-GFP were significantly more resistant to juglone-induced toxicity compared to non-transgenic controls (Figure 7C). To confirm that the juglone resistance caused by NLG-1-GFP transgenes was due to nlg-1 expression, we examined juglone responses of animals expressing Pnlg-1::gfp and found that they were not as resistant to juglone as NLG-1-GFP expressing animals (Figure S7). Finally, nlg-1 mutations dramatically reduced the ability of activated skn-1 to protect animals from the toxic effects of juglone: skn-1(gf);nlg-1 double mutants were significantly less resistant to juglone than skn-1(gf) mutants alone (Figure 7B). Together, these data suggest that the dosage of nlg-1 is a critical determinant of survival in response to stress, and that nlg-1 contributes to skn-1-dependent survival.

Discussion

In this study, we find that WDR-23 in neurons, possibly acting through SKN-1, regulates the expression of approximately 800 genes in multiple tissues, including the nervous system. One of these genes, the synaptic cell adhesion molecule nlg-1/neuroligin, contains a consensus SKN-1 binding site in its promoter necessary for SKN-1 binding in vitro and for nlg-1 expression following SKN-1 activation. Increasing SKN-1 activity elevates the abundance of NLG-1 protein at synaptic terminals, and changes in synaptic NLG-1 levels correlate with altered survival of animals in the presence of mitochondrial toxins. We propose a model in which, in response to mitochondrial stress, SKN-1 induces transcription of nlg-1, which in turn enhances organismal survival (Figure 7D).

SKN-1 transcriptional targets in neurons

Previous studies have demonstrated SKN-1/Nrf2 dependent transcriptional programs are initiated in response to oxidative and xenobiotic stress, and these programs are critical for organismal survival and longevity [42], [43], [49]. Among the genes regulated by SKN-1, few have been shown to mediate the protective effects of SKN-1, and fewer still have been shown to be direct binding targets. Furthermore, attempts to identify a comprehensive set of genes regulated by SKN-1/Nrf2 required to protect organisms from stress have been difficult due to the lack of tissue-level resolution.

Here, we have used comparative whole transcriptome RNA sequencing to identify an inclusive set of genes that are likely to be regulated by SKN-1 in the nervous system. For this analysis, we examined wdr-23 mutants expressing a rescuing wdr-23a transgene driven by the pan-neuronal snb-1 promoter. Genetic studies indicate that several distinct phenotypes displayed by wdr-23 mutants are completely suppressed by skn-1, indicating that SKN-1 is selectively activated in wdr-23 mutants, and a yeast-two hybrid screen identifies the only binding target of WDR-23 to be SKN-1 [19], indicating that SKN-1 is selectively activated in wdr-23 mutants. Interestingly, wdr-23 mutants appear to activate SKN-1 to a greater extent than skn-1(gf) mutations or toxin treatment. For example, loss of wdr-23 results in greater survival in response to juglone treatment than skn-1(gf) mutations. In addition, wdr-23 mutations increase nlg-1 expression in the ventral cord neurons fivefold, whereas skn-1(gf) or toxin treatment increased it by approximately 30%. Thus, wdr-23 mutants may provide increased sensitivity when used for transcriptional profiling, maximizing our ability to identify SKN-1 targets expressed in low abundance or in a small subset of cells. It is, however, possible that WDR-23 has functions beyond SKN-1 regulation, in which case some of the genes identified by this approach may not be targets of SKN-1. While the snb-1 promoter fragment drives expression of GFP strongly in the nervous system, the possibility that this promoter may be leaky raises the prospect that some of the genes identified here may be regulated by WDR-23 in other tissues in addition to the nervous system.

The 810 genes identified here most likely represent either direct SKN-1 targets or indirect targets of SKN-1 that are secondarily activated in neurons or other tissues. SKN-1 ChIP-seq of larval stage animals identified a list of approximately 3000 genomic peaks bound by SKN-1 in vivo [34]; we cross-referenced our gene list of rescued neuronal genes with SKN-1 ChIP-seq datasets taken from L1, L3 and L4 stage animals [34] and found that a subset of the genes we identified contain a significant SKN-1 peak near to their transcriptional start sites (Table S1), but many genes do not. Differences between these datasets may be a byproduct of using non-stressed animals for the ChIP-seq experiments, reflecting basal, but not stress-induced, promoter occupancy by SKN-1.

Among the genes we identified were several neuropeptides and insulins, as well as peptide processing enzymes reported to be expressed in neurons. We speculate that stress-induced peptide processing and release may be part of a humoral response to promote organismal survival. Identification of the precise peptidergic signaling pathways will help to elucidate the mechanisms by which SKN-1 confers survival. We also identified a handful of known synaptic genes, including two cell adhesion molecules, nlg-1 and ncam-1, indicating SKN-1 might play a role in maintaining the stability of neural networks. A theory has emerged suggesting axonal retraction might precede neuronal apoptosis in neurodegeneration, called dying back degeneration [50], and synaptic breakdown may occur prior to axonal retraction. The identification of cell adhesion molecules in this study suggests that prior to synaptic breakdown, neurons might initiate transcriptional programs to protect the integrity of the synapse. In support of this, recent evidence suggests that increased expression of NCAM in SH-SY5Y cultures prevents oxidative stress-induced apoptosis, and over-expression of a truncated NCAM molecule protects neuronal tissue in lesioned rats [51], [52].

SKN-1 as a mitochondrial stress sensor

Activation of SKN-1/Nrf2 can protect against cell toxicity induced by oxidative stress [53][55]. In primary neuronal cultures, for example, activation of Nrf2 prevents cell death in response to rotenone and MPP, potent inhibitors of mitochondrial respiration [11]. Loss of OPA1, a key regulator of the morphology of mitochondria, results in increased Nrf2 activation [56]. These studies and others collectively suggest a potential role for SKN-1/Nrf2 as a sensor for increased mitochondrial dysfunction in the nervous system. We found that genes involved in drug detoxification, including the glutathione precursors gst-4, gst-10, gcs-1, and gst-1 were reduced by neuronal expression of wdr-23a. Interestingly, gst-1 has also been shown to contribute to dopaminergic neuron survival after manganese treatment [16]. Given their confirmed expression in neurons, is possible that these genes have a role in directly enhancing neuronal protection.

SKN-1 associates with purified mitochondrial fractions, and the skn-1(gf) alleles are proposed to reduce mitochondrial association, suggesting that mitochondria may act as a sink for SKN-1 [38]. Our data is consistent with the idea that WDR-23a associates with presynaptic organelles, including mitochondria. First, WDR-23a localizes to presynaptic terminals, where mitochondria are abundant. Second, WDR-23a remains associated with mitochondria in mutants in which mitochondria are displaced. Third, WDR-23a localizes to the outer membrane of mitochondria in muscle cells [20]. We speculate that WDR-23 may be a mitochondrial stress sensor that regulates SKN-1 abundance.

Neuroligin as a neuronal target of SKN-1

Our data supports the idea that SKN-1 activation leads to increased NLG-1 abundance at synapses. We found that nlg-1 confers some, but not all, of the protective effects of activation of SKN-1, as nlg-1 mutations reduced, but did not eliminate, the resistance of skn-1(gf) mutants to juglone. Additional SKN-1 targets either in neurons or in other tissues are likely to contribute to organismal survival in response to juglone treatment. Interestingly, loss of nlg-1 did not suppress wdr-23 mutants resistance to thimerosal or juglone (Figure S5 and data not shown). This may be due to higher SKN-1 activity in wdr-23 mutants compared to skn-1(gf) mutants, which may compensate for the lack of nlg-1. Because nlg-1 mutants themselves are hypersensitive to stress, it is possible that nlg-1 and skn-1 function in parallel pathways to promote resistance; however, our data do not support this idea, but rather support the notion that nlg-1 is a direct transcriptional target of SKN-1. Basal nlg-1 transcription is not likely to be under skn-1 regulation, since nlg-1 reporter expression remains unchanged in skn-1 mutants. Consistent with this, SKN-1 does not occupy the SKN-1 binding site we identified at position −396 in the nlg-1 promoter in unstressed larval animals by ChIP-seq analysis.

How might increased expression of a synaptic cell adhesion molecule promote organismal survival in response to stress? Recent work has established the presence of “mitokines” in neurons—a signal produced in the neurons in response to dysfunctional mitochondrial electron transport [57]; release of these mitokines results in increased organismal survival. It is possible that nlg-1 may be required in neurons for proper release of mitokines. Furthermore, the neuropeptides identified in this study are candidates for being signals released in response to stress to promote resistance. nlg-1 expression has been detected in head neurons, motor neurons, and muscle cells [30]; thus, it is possible that nlg-1 functions in any of these tissues to convey protection.

In mammals, neuroligin is a post-synaptic cell adhesion molecule that binds to the presynaptic protein neurexin; this junction is necessary for maintaining mature synaptic connections and normal synaptic transmission [58], [59]. In humans, rare mutations in neuroligin are associated with autism and other cognitive disorders. Some of these mutations reduce neuroligin delivery to the cell surface, interfering with synapse development and synaptic transmission [60][62]. Interestingly, it has been suggested that oxidative stress and mitochondrial dysfunction may play a role in the pathogenesis of autism, as certain biomarkers for oxidative stress are elevated in autistic patients [63][65]. It is possible that individuals with these mutations are unable to increase synaptic neuroligin levels in response to stress, and it will be interesting to identify the cellular and molecular mechanisms underlying neuroligin-dependent survival in response to stress.

Materials and Methods

C. elegans strains

Strains were cultured at 20° using standard methods. All experiments were performed on young adult hermaphrodites unless otherwise indicated. The following strains were provided by the Caenorhabditis Genetics Center, which is funded by the NIH National Center for Research Resources (NCRR): sek-1(km4), pmk-1(km25), sgk-1(ok538), skn-1(zu67), nlg-1(ok259), clk-1(e2519), mef-2(gv1), mir-1(gk276), isp-1(gm150), and pink-1(ok3538). Strain wdr-23(tm1817) was provided by the National BioResource Project (Japan). The wild type reference strain was N2 Bristol. The following strains were also used: drp-1(tm1108), dgk-1(nu62), goa-1(sa734), unc-2(lj1), unc-18(md299), glo-1(zu391), unc-104(e1265), skn-1(lax120gf), skn-1(lax188gf), nuIs152[Pttx-3::RFP, Punc-129::GFP::SNB-1]II, nuIs321[Pmyo-2::GFP, Punc-17::mCherry], nuIs225[Pmyo-2::GFP, Psnb-1::WDR-23a], idIs7[rol-6(su1006), Pskn-1::skn-1b/c::GFP], yuIs25[Pmyo-2::GFP, Punc-129::mito-GFP]V, and vjIs26[Pmyo-2::GFP, Punc-129::WDR-23a::GFP]III. Mutant strains were outcrossed a minimum of 4 times; all integrants were outcrossed at least 8 times.

Molecular biology

C. elegans cDNA was used to clone all genes into pPD49.26 using standard molecular biology techniques, unless otherwise noted. Promoter elements were amplified from mixed stage genomic DNA. The following plasmids were generated: pTS147[Punc-129::invom::rfp], pTS31[Pbec-1::nls-gfp], pDS284[Pnlg-1::gfp], pDS286[Pnlg-1(ΔBS)::gfp], pKG8[Pnlg-1::nlg-1-gfp], pTS79[Punc-17::skn-1a::gfp], pDS139[Punc-129::snb-1::mCherry], pDS237[Psnb-1::wdr-23a::gfp], pTS85[Psnb-1::wdr-23b::gfp], pDS334[Pnlg-1::wdr-23a], pDS335[Pnlg-1::wdr-23b], and pTS199[T7::skn-1a].

Oligo sequences:

Pbec-1

oTS44: ccccccGGATCCcgacaattatacatgttcccc

oTS45: ccccccGCTAGCcgactgactggattatgatagatcc

Pnlg-1

oDS694: ccccccGCATGCtaagcccccgtacgctaacacc

oXL13: ccccccGGATCCgcctgttcacttccaaattcgc

Pnlg-1(Δbs)

oDS692: cctgttgccccccaaatgCTGCAGttacctcttttcctcc​cttctacc

oDS693 ggtagaagggaggaaaagaggtaaCTGCAGcatttggggg​gcaacagg

Transgenic lines

Transgenic strains were generated by injecting N2 with expression constructs (2.5–90 ng/µL) and the co-injection marker KP#708 (Pttx-3::rfp, 40 ng/µL) or KP#1106 (Pmyo-2::gfp, 10 ng/µL). Microinjection was performed using standard techniques as previously described [66]. At least three lines for each transgene were examined for expression, and representative lines were quantified. The following strains were made: vjEx7[Punc-129::wdr-23b::gfp] vjEx663[Punc-129::invom::rfp], vjEx254[Pbec-1::nls-gfp], vjEx391[Pnlg-1(Δbs)::gfp], vjEx756[Pnlg-1(Δbs)::gfp], vjEx561[Pnlg-1::nlg-1-gfp], vjEx339[Punc-129::snb-1::mCherry], vjEx423[Psnb-1::wdr-23a::gfp], vjEx426[Psnb-1::wdr-23b::gfp], vjEx447[Pnlg-1::wdr-23a], vjEx436[Pnlg-1::wdr-23b], vjIs45[Punc-17::skn-1a::gfp]II, vjIs47[Pnlg-1::gfp]IV, vjIs48[Pnlg-1::gfp]I, vjIs105[Pnlg-1::nlg-1-gfp]III.

Microscopy and analysis

To image animals, adult worms were paralyzed using 2,3-butanedione monoxime (BDM, 30 µg/µL; Sigma) and mounted on 2% agarose pads for imaging. Images were captured with a Nikon eclipse 90i microscope equipped with a Nikon PlanApo 60× or 100× objective (NA = 1.4) and a PhotometricsCoolsnap ES2 camera. For fluorescence imaging of synapses, images were captured either from the ventral or dorsal cord near the posterior gonadal bend of the worm, as indicated. Images of animals expressing nlg-1 reporters were captured at the ventral cord near the posterior gonadal bend of the worm. We found that skn-1 mutants expressing fluorescent integrants arrest at larval stages when the integrant is homozygous, making quantification of fluorescence markers challenging; however, skn-1 mutants expressing heterozygous integrants develop fully into adults.

Metamorph 7.0 software (Universal Imaging/Molecular Devices) was used to capture serial image stacks, and the maximum intensity projection was used for analysis of the dorsal and ventral cords. Line scans of the maximum intensity projection image were also recorded using Metamorph. The fluorescence intensity values were then quantified using Puncta 6.0 software written with Igor Pro (Wavemetrics), as previously described [67]. For all experiments, fluorescence values were normalized to the values of 0.5 µm FluoSphere beads (Invitrogen) captured during each imaging session. This was performed to provide a standard for comparing absolute fluorescence levels between animals from different sessions.

To quantify changes in neuronal SKN-1a::GFP, an anterior and posterior image was taken for each animal in both RFP and GFP channels. Cell bodies were identified by the presence of soluble mCherry. Average cell body fluorescence was calculated by outlining the entire cell body and taking the average intensity. Background values were determined by finding the average fluorescence of the area immediately adjacent to the cell body and were subtracted from each cells' average fluorescence. Cells were categorized as low, medium, or high expressing cells using arbitrary cut off levels after background subtraction—low expressing cells were those cells below the level of detection (less than 30 units different than background fluorescence), medium expressing cells were between 30–70 arbitrary units, and high expressing cells had a total fluorescence greater than 70 units.

Toxicity assays

Stock solutions of 50 mM juglone (Calbiochem) and 20 mM thimerosal (Enzo) were freshly dissolved in DMSO or water, respectively, prior to addition to molten NGM. Sodium arsenite (Ricca) was maintained in aqueous solution at 0.5% w/v and stored at room temperature. Plates were freshly made approximately 24 hours before use and seeded with concentrated OP50 the night before being used.

To assess longevity, age matched young adult animals were transferred to 100 mm NGM plates containing either drug or control and assayed over time. Animals which escaped the plates were excluded from the analysis. At least four replicates of n = 40 animals per genotype per stress were tested; final samples sizes reported in Table S3. Animals were stored at 20° except during time points. Animals were scored as dead if they did not respond to repeated light prodding. Percentages alive for each genotype were determined by averaging the fraction alive per plate at each time point and plotting graphically.

For fluorescence toxicity studies using the nlg-1 reporters, L4 stage animals were exposed to NGM plates supplemented with drug or control overnight for 14 hours; animals were allowed 2–4 hours recovery time before imaging. Concentrations were chosen that did not result in animal death after 14 hours. For juglone imaging, control plates were supplemented with an equal volume of DMSO, as the juglone was diluted to 50 mM in DMSO prior to addition to the test plates.

Statistical analysis

A Student's t test was used to determine significance when comparing fluorescence of nlg-1 reporters in different conditions, unless otherwise specified. Log rank tests with a Bonferroni correction were calculated by JMP Pro version 10.0 software and were used to determine significant differences between genotypes for toxicity studies; differences between genotypes are reported in Table S3.

RNA sequencing

Total RNA was isolated from approximately 10,000 mixed stage animals for wild type, wdr-23(tm1817) mutants and wdr-23;nuIs225 using Stat60 (Tel-test B, Texas). Transcriptome libraries were prepared using TruSeq RNA sample preparation kit (Illumina) according to manufacturer's TruSeq protocol as previously described [20]. Libraries were amplified by PCR and quality and quantity of libraries were evaluated on BioAnalyzer 2100 (Agilent). Sequencing was performed on HiSeq2000 (Illumina). Sequencing reads were aligned to the C. elegansgenome (release WS210) using TopHat [68]. Gene models were downloaded from ENSEMBL and quantified using Cufflinks. Differentially expressed genes at false discovery rate (FDR) of 0.05 were identified using the Cuffdiff module of the Cufflinks package.

Electrophoretic mobility shift assays

Full-length SKN-1a cDNA was cloned into a pBS backbone driven by the T7 promoter and expressed using TnT T7 Quick Coupled Transcription/Translation System for DNA (Promega). EMSA was performed using the LightShift Chemiluminescence EMSA Kit (Pierce) according to manufacturer's protocols. Complementary 5′ biotinylated oligonucleotides containing the pnlg-1 SKN-1 binding site were self-annealed and incubated with 1 µl of SKN-1 lysate, 1 µg Poly (dIdC) and 5 mM MgCl2 for 20 minutes at room temperature. Samples were separated on a 5% native polyacrylamide gel and blotted on Biodyne B nylon membranes (Pierce).

Pnlg-1 probes:

oTS300: 5′ biotin-gttgccccccaaatgATGACATTacctcttttcctccc 3′

oTS310: 5′ biotin-gggaggaaaagaggtAATGTCATcatttggIgggcaac 3′

Supporting Information

Figure S1.

nlg-1 promoter alignment for Caenorhabditis species. ***Indicates transcriptional start aligned for all four species. Consensus sequences (WWTDTCAT) were identified by RSAT and indicated for C. elegans by bold, underlined sequences. Conserved SKN-1 consensus sequence boxed.

doi:10.1371/journal.pgen.1004100.s001

(TIF)

Figure S2.

Thimerosal increases intestinal SKN-1::GFP. Intestinal fluorescence of SKN-1b/c::GFP in control animals (top) compared to animals treated with 35 uM thimerosal for 14 hours. Animals were imaged at L3/L4 stage to limit background fluorescence.

doi:10.1371/journal.pgen.1004100.s002

(TIF)

Figure S3.

Quantification of Pnlg-1::gfp (vjIs47) in the ventral cord of animals in different genetic backgrounds. Samples sizes shown. *p<0.05, **p<0.01.

doi:10.1371/journal.pgen.1004100.s003

(TIF)

Figure S4.

Survival in response to sodium arsenite. Survival curves of indicated strains on 2.5 mM sodium arsenite. Error bars represent ±sem.

doi:10.1371/journal.pgen.1004100.s004

(TIF)

Figure S5.

Survival in response to thimerosal. Survival curves of indicated strains on 50 µM thimerosal. Error bars represent ±sem.

doi:10.1371/journal.pgen.1004100.s005

(TIF)

Figure S6.

Survival of skn-1(gf) on 200 µM juglone. Survival curves of indicated strains on 200 µM juglone. Error bars represent ±sem.

doi:10.1371/journal.pgen.1004100.s006

(TIF)

Figure S7.

Survival of Pnlg-1::gfp on 200 µM juglone. Survival curves of indicated strains on 200 µM juglone. Error bars represent ±sem.

doi:10.1371/journal.pgen.1004100.s007

(TIF)

Table S1.

RNA sequencing of wdr-23 mutants and WDR-23 neuronal rescue. RNAseq list summarizing the 2,285 genes up-regulated in wdr-23 mutants. Neuron rescue denotes wdr-23 mutants expressing an integrated wdr-23a driven by the snb-1 promoter (vjIs225). Genes highlighted in green are statically different between wdr-23 mutants and WDR-23 rescue. Expression was identified for genes which are significantly different between wdr-23 and WDR-23 rescue using WormMart. WWTDTCAT denotes SKN-1 binding sites identified within 1000 bp of gene start. Genes located proximally to ChIP-seq sites are identified by stage [34]; sites were restricted to 2 kb upstream or 500 bp downstream of start sites. Genes identified by microarrays are identified in Ref column as follows: skn-1 RNAi1, exposure to arsenite2, exposure to t-butyl hydrogen peroxide3 [42] or hyperbaric oxygen4 [49].

doi:10.1371/journal.pgen.1004100.s008

(XLSX)

Table S2.

Punctal analysis of NLG-1-GFP fluorescence. Raw values ± sem reported for peak, cord, width, and interpunctal interval (IPI).

doi:10.1371/journal.pgen.1004100.s009

(PDF)

Table S3.

Statistical analysis of toxicity assays. Samples sizes, χ2 values for log rank tests, and significant differences between samples reported. Statistically significant differences were calculated using the log rank test with a Bonferroni correction to establish the thresholds of significance.

doi:10.1371/journal.pgen.1004100.s010

(PDF)

Acknowledgments

We thank J. Chan and H. Wang for advice and critical review of the manuscript, and I. Antoshechkin, in association with the Millard and Muriel Jacobs Genetics and Genomics Laboratory at California Institute of Technology, for RNAseq analysis and help identifying overlapping ChIP-seq peaks. We thank J. Shaw for her technical assistance, and Q. Ch'ng and J. Dittman for fluorescence analysis software. We thank S. Curran for skn-1(gf) alleles, L. Dreier for the mito-GFP strain, and A. Van der Bliek for the INVOM-RFP construct.

Author Contributions

Conceived and designed the experiments: TAS DS. Performed the experiments: TAS OE DS. Analyzed the data: TAS DS. Contributed reagents/materials/analysis tools: TAS OE JAK DS. Wrote the paper: TAS DS.

References

  1. 1. Finkel T, Holbrook NJ (2000) Oxidants, oxidative stress and the biology of ageing. Nature 408: 239–247. doi: 10.1038/35041687
  2. 2. Halliwell B (2006) Oxidative stress and neurodegeneration: where are we now? J Neurochem 97: 1634–1658. doi: 10.1111/j.1471-4159.2006.03907.x
  3. 3. Abou-Sleiman PM, Muqit MM, Wood NW (2006) Expanding insights of mitochondrial dysfunction in Parkinson's disease. Nat Rev Neurosci 7: 207–219. doi: 10.1038/nrn1868
  4. 4. Zana M, Janka Z, Kalman J (2007) Oxidative stress: a bridge between Down's syndrome and Alzheimer's disease. Neurobiol Aging 28: 648–676. doi: 10.1016/j.neurobiolaging.2006.03.008
  5. 5. Itoh K, Chiba T, Takahashi S, Ishii T, Igarashi K, et al. (1997) An Nrf2/small Maf heterodimer mediates the induction of phase II detoxifying enzyme genes through antioxidant response elements. Biochem Biophys Res Commun 236: 313–322. doi: 10.1006/bbrc.1997.6943
  6. 6. Kobayashi M, Yamamoto M (2006) Nrf2-Keap1 regulation of cellular defense mechanisms against electrophiles and reactive oxygen species. Adv Enzyme Regul 46: 113–140. doi: 10.1016/j.advenzreg.2006.01.007
  7. 7. Sykiotis GP, Bohmann D (2010) Stress-activated cap'n'collar transcription factors in aging and human disease. Sci Signal 3: re3. doi: 10.1126/scisignal.3112re3
  8. 8. Lee JM, Li J, Johnson DA, Stein TD, Kraft AD, et al. (2005) Nrf2, a multi-organ protector? FASEB J 19: 1061–1066. doi: 10.1096/fj.04-2591hyp
  9. 9. Itoh K, Wakabayashi N, Katoh Y, Ishii T, Igarashi K, et al. (1999) Keap1 represses nuclear activation of antioxidant responsive elements by Nrf2 through binding to the amino-terminal Neh2 domain. Genes Dev 13: 76–86. doi: 10.1101/gad.13.1.76
  10. 10. Kraft AD, Johnson DA, Johnson JA (2004) Nuclear factor E2-related factor 2-dependent antioxidant response element activation by tert-butylhydroquinone and sulforaphane occurring preferentially in astrocytes conditions neurons against oxidative insult. J Neurosci 24: 1101–1112. doi: 10.1523/jneurosci.3817-03.2004
  11. 11. Lee JM, Shih AY, Murphy TH, Johnson JA (2003) NF-E2-related factor-2 mediates neuroprotection against mitochondrial complex I inhibitors and increased concentrations of intracellular calcium in primary cortical neurons. J Biol Chem 278: 37948–37956. doi: 10.1074/jbc.m305204200
  12. 12. Lee JM, Calkins MJ, Chan K, Kan YW, Johnson JA (2003) Identification of the NF-E2-related factor-2-dependent genes conferring protection against oxidative stress in primary cortical astrocytes using oligonucleotide microarray analysis. J Biol Chem 278: 12029–12038. doi: 10.1074/jbc.m211558200
  13. 13. An JH, Blackwell TK (2003) SKN-1 links C. elegans mesendodermal specification to a conserved oxidative stress response. Genes Dev 17: 1882–1893. doi: 10.1101/gad.1107803
  14. 14. Bishop NA, Guarente L (2007) Two neurons mediate diet-restriction-induced longevity in C. elegans. Nature 447: 545–549. doi: 10.1038/nature05904
  15. 15. Vanduyn N, Settivari R, Wong G, Nass R (2010) SKN-1/Nrf2 inhibits dopamine neuron degeneration in a Caenorhabditis elegans model of methylmercury toxicity. Toxicol Sci 118: 613–624. doi: 10.1093/toxsci/kfq285
  16. 16. Settivari R, Vanduyn N, Levora J, Nass R (2013) The Nrf2/SKN-1-dependent glutathione S-transferase pi homologue GST-1 inhibits dopamine neuron degeneration in a Caenorhabditis elegans model of manganism. Neurotoxicology 38C: 51–60. doi: 10.1016/j.neuro.2013.05.014
  17. 17. VanDuyn N, Settivari R, LeVora J, Zhou S, Unrine J, et al. (2013) The metal transporter SMF-3/DMT-1 mediates aluminum-induced dopamine neuron degeneration. J Neurochem 124: 147–157. doi: 10.1111/jnc.12072
  18. 18. Benedetto A, Au C, Avila DS, Milatovic D, Aschner M (2010) Extracellular dopamine potentiates mn-induced oxidative stress, lifespan reduction, and dopaminergic neurodegeneration in a BLI-3-dependent manner in Caenorhabditis elegans. PLoS Genet 6: e1001084. doi: 10.1371/journal.pgen.1001084
  19. 19. Choe KP, Przybysz AJ, Strange K (2009) The WD40 repeat protein WDR-23 functions with the CUL4/DDB1 ubiquitin ligase to regulate nuclear abundance and activity of SKN-1 in Caenorhabditis elegans. Mol Cell Biol 29: 2704–2715. doi: 10.1128/mcb.01811-08
  20. 20. Staab TA, Griffen TC, Corcoran C, Evgrafov O, Knowles JA, et al. (2013) The Conserved SKN-1/Nrf2 Stress Response Pathway Regulates Synaptic Function in Caenorhabditis elegans. PLoS Genet 9: e1003354. doi: 10.1371/journal.pgen.1003354
  21. 21. Hasegawa K, Miwa J (2010) Genetic and cellular characterization of Caenorhabditis elegans mutants abnormal in the regulation of many phase II enzymes. PloS one 5: e11194. doi: 10.1371/journal.pone.0011194
  22. 22. wormbase.org Wormbase web site. Release ws236 ed.
  23. 23. Blumenthal T (2012) Trans-splicing and operons in C. elegans. WormBook 1–11. doi: 10.1895/wormbook.1.5.1
  24. 24. Melendez A, Talloczy Z, Seaman M, Eskelinen EL, Hall DH, et al. (2003) Autophagy genes are essential for dauer development and life-span extension in C. elegans. Science 301: 1387–1391. doi: 10.1126/science.1087782
  25. 25. Takacs-Vellai K, Vellai T, Puoti A, Passannante M, Wicky C, et al. (2005) Inactivation of the autophagy gene bec-1 triggers apoptotic cell death in C. elegans. Curr Biol 15: 1513–1517. doi: 10.1016/j.cub.2005.07.035
  26. 26. Hall DH, Hedgecock EM (1991) Kinesin-related gene unc-104 is required for axonal transport of synaptic vesicles in C. elegans. Cell 65: 837–847. doi: 10.1016/0092-8674(91)90391-b
  27. 27. Labrousse AM, Zappaterra MD, Rube DA, van der Bliek AM (1999) C. elegans dynamin-related protein DRP-1 controls severing of the mitochondrial outer membrane. Mol Cell 4: 815–826. doi: 10.1016/s1097-2765(00)80391-3
  28. 28. Dennis G Jr, Sherman BT, Hosack DA, Yang J, Gao W, et al. (2003) DAVID: Database for Annotation, Visualization, and Integrated Discovery. Genome Biol 4: P3. doi: 10.1186/gb-2003-4-5-p3
  29. 29. Iwasaki K, Toyonaga R (2000) The Rab3 GDP/GTP exchange factor homolog AEX-3 has a dual function in synaptic transmission. EMBO J 19: 4806–4816. doi: 10.1093/emboj/19.17.4806
  30. 30. Hunter JW, Mullen GP, McManus JR, Heatherly JM, Duke A, et al. (2010) Neuroligin-deficient mutants of C. elegans have sensory processing deficits and are hypersensitive to oxidative stress and mercury toxicity. Dis Model Mech 3: 366–376.
  31. 31. Kohn RE, Duerr JS, McManus JR, Duke A, Rakow TL, et al. (2000) Expression of multiple UNC-13 proteins in the Caenorhabditis elegans nervous system. Mol Biol Cell 11: 3441–3452. doi: 10.1091/mbc.11.10.3441
  32. 32. Charlie NK, Thomure AM, Schade MA, Miller KG (2006) The Dunce cAMP phosphodiesterase PDE-4 negatively regulates G alpha(s)-dependent and G alpha(s)-independent cAMP pools in the Caenorhabditis elegans synaptic signaling network. Genetics 173: 111–130. doi: 10.1534/genetics.105.054007
  33. 33. Thomas-Chollier M, Sand O, Turatsinze JV, Janky R, Defrance M, et al. (2008) RSAT: regulatory sequence analysis tools. Nucleic Acids Res 36: W119–127. doi: 10.1093/nar/gkn304
  34. 34. Niu W, Lu ZJ, Zhong M, Sarov M, Murray JI, et al. (2011) Diverse transcription factor binding features revealed by genome-wide ChIP-seq in C. elegans. Genome Res 21: 245–254. doi: 10.1101/gr.114587.110
  35. 35. Hu Z, Hom S, Kudze T, Tong XJ, Choi S, et al. (2012) Neurexin and neuroligin mediate retrograde synaptic inhibition in C. elegans. Science 337: 980–984. doi: 10.1126/science.1224896
  36. 36. Calahorro F, Alejandre E, Ruiz-Rubio M (2009) Osmotic avoidance in Caenorhabditis elegans: synaptic function of two genes, orthologues of human NRXN1 and NLGN1, as candidates for autism. J Vis Exp (34) 1616. doi: 10.3791/1616
  37. 37. Feinberg EH, Vanhoven MK, Bendesky A, Wang G, Fetter RD, et al. (2008) GFP Reconstitution Across Synaptic Partners (GRASP) defines cell contacts and synapses in living nervous systems. Neuron 57: 353–363. doi: 10.1016/j.neuron.2007.11.030
  38. 38. Paek J, Lo JY, Narasimhan SD, Nguyen TN, Glover-Cutter K, et al. (2012) Mitochondrial SKN-1/Nrf Mediates a Conserved Starvation Response. Cell Metab 16: 526–537. doi: 10.1016/j.cmet.2012.09.007
  39. 39. Blackwell TK, Bowerman B, Priess JR, Weintraub H (1994) Formation of a monomeric DNA binding domain by Skn-1 bZIP and homeodomain elements. Science 266: 621–628. doi: 10.1126/science.7939715
  40. 40. Sieburth D, Madison JM, Kaplan JM (2007) PKC-1 regulates secretion of neuropeptides. Nat Neurosci 10: 49–57. doi: 10.1038/nn1810
  41. 41. Dittman JS, Kaplan JM (2006) Factors regulating the abundance and localization of synaptobrevin in the plasma membrane. Proc Natl Acad Sci U S A 103: 11399–11404. doi: 10.1073/pnas.0600784103
  42. 42. Oliveira RP, Porter Abate J, Dilks K, Landis J, Ashraf J, et al. (2009) Condition-adapted stress and longevity gene regulation by Caenorhabditis elegans SKN-1/Nrf. Aging Cell 8: 524–541. doi: 10.1111/j.1474-9726.2009.00501.x
  43. 43. Przybysz AJ, Choe KP, Roberts LJ, Strange K (2009) Increased age reduces DAF-16 and SKN-1 signaling and the hormetic response of Caenorhabditis elegans to the xenobiotic juglone. Mech Ageing Dev 130: 357–369. doi: 10.1016/j.mad.2009.02.004
  44. 44. Tullet JM, Hertweck M, An JH, Baker J, Hwang JY, et al. (2008) Direct inhibition of the longevity-promoting factor SKN-1 by insulin-like signaling in C. elegans. Cell 132: 1025–1038. doi: 10.1016/j.cell.2008.01.030
  45. 45. Inoue H, Hisamoto N, An JH, Oliveira RP, Nishida E, et al. (2005) The C. elegans p38 MAPK pathway regulates nuclear localization of the transcription factor SKN-1 in oxidative stress response. Genes Dev 19: 2278–2283. doi: 10.1101/gad.1324805
  46. 46. Zubovych IO, Straud S, Roth MG (2010) Mitochondrial dysfunction confers resistance to multiple drugs in Caenorhabditis elegans. Mol Biol Cell 21: 956–969. doi: 10.1091/mbc.e09-08-0673
  47. 47. Narendra D, Tanaka A, Suen DF, Youle RJ (2008) Parkin is recruited selectively to impaired mitochondria and promotes their autophagy. J Cell Biol 183: 795–803. doi: 10.1083/jcb.200809125
  48. 48. Youle RJ, van der Bliek AM (2012) Mitochondrial fission, fusion, and stress. Science 337: 1062–1065. doi: 10.1126/science.1219855
  49. 49. Park SK, Tedesco PM, Johnson TE (2009) Oxidative stress and longevity in Caenorhabditis elegans as mediated by SKN-1. Aging cell 8: 258–269. doi: 10.1111/j.1474-9726.2009.00473.x
  50. 50. Luo L, O'Leary DD (2005) Axon retraction and degeneration in development and disease. Annual review of neuroscience 28: 127–156. doi: 10.1146/annurev.neuro.28.061604.135632
  51. 51. Feng Z, Li L, Ng PY, Porter AG (2002) Neuronal differentiation and protection from nitric oxide-induced apoptosis require c-Jun-dependent expression of NCAM140. Mol Cell Biol 22: 5357–5366. doi: 10.1128/mcb.22.15.5357-5366.2002
  52. 52. Klementiev B, Novikova T, Korshunova I, Berezin V, Bock E (2008) The NCAM-derived P2 peptide facilitates recovery of cognitive and motor function and ameliorates neuropathology following traumatic brain injury. Eur J Neurosci 27: 2885–2896. doi: 10.1111/j.1460-9568.2008.06245.x
  53. 53. Scapagnini G, Vasto S, Abraham NG, Caruso C, Zella D, et al. (2011) Modulation of Nrf2/ARE pathway by food polyphenols: a nutritional neuroprotective strategy for cognitive and neurodegenerative disorders. Molecular neurobiology 44: 192–201. doi: 10.1007/s12035-011-8181-5
  54. 54. Chakraborty S, Aschner M (2012) Altered manganese homeostasis: implications for BLI-3-dependent dopaminergic neurodegeneration and SKN-1 protection in C. elegans. Journal of trace elements in medicine and biology : organ of the Society for Minerals and Trace Elements 26: 183–187. doi: 10.1016/j.jtemb.2012.03.011
  55. 55. Joshi G, Johnson JA (2012) The Nrf2-ARE pathway: a valuable therapeutic target for the treatment of neurodegenerative diseases. Recent patents on CNS drug discovery 7: 218–229. doi: 10.2174/157488912803252023
  56. 56. Bertholet AM, Millet AM, Guillermin O, Daloyau M, Davezac N, et al. (2013) OPA1 loss of function affects in vitro neuronal maturation. Brain : a journal of neurology 136: 1518–1533. doi: 10.1093/brain/awt060
  57. 57. Durieux J, Wolff S, Dillin A (2011) The cell-non-autonomous nature of electron transport chain-mediated longevity. Cell 144: 79–91. doi: 10.1016/j.cell.2010.12.016
  58. 58. Sudhof TC (2008) Neuroligins and neurexins link synaptic function to cognitive disease. Nature 455: 903–911. doi: 10.1038/nature07456
  59. 59. Bottos A, Rissone A, Bussolino F, Arese M (2011) Neurexins and neuroligins: synapses look out of the nervous system. Cell Mol Life Sci 68: 2655–2666. doi: 10.1007/s00018-011-0664-z
  60. 60. Zhang C, Milunsky JM, Newton S, Ko J, Zhao G, et al. (2009) A neuroligin-4 missense mutation associated with autism impairs neuroligin-4 folding and endoplasmic reticulum export. J Neurosci 29: 10843–10854. doi: 10.1523/jneurosci.1248-09.2009
  61. 61. Comoletti D, De Jaco A, Jennings LL, Flynn RE, Gaietta G, et al. (2004) The Arg451Cys-neuroligin-3 mutation associated with autism reveals a defect in protein processing. J Neurosci 24: 4889–4893. doi: 10.1523/jneurosci.0468-04.2004
  62. 62. Chih B, Engelman H, Scheiffele P (2005) Control of excitatory and inhibitory synapse formation by neuroligins. Science 307: 1324–1328. doi: 10.1126/science.1107470
  63. 63. Ghezzo A, Visconti P, Abruzzo PM, Bolotta A, Ferreri C, et al. (2013) Oxidative Stress and Erythrocyte Membrane Alterations in Children with Autism: Correlation with Clinical Features. PLoS One 8: e66418. doi: 10.1371/journal.pone.0066418
  64. 64. Gorrindo P, Lane CJ, Lee EB, McLaughlin B, Levitt P (2013) Enrichment of elevated plasma F2t-isoprostane levels in individuals with autism who are stratified by presence of gastrointestinal dysfunction. PLoS One 8: e68444. doi: 10.1371/journal.pone.0068444
  65. 65. Rossignol DA, Frye RE (2012) Mitochondrial dysfunction in autism spectrum disorders: a systematic review and meta-analysis. Mol Psychiatry 17: 290–314. doi: 10.1038/mp.2010.136
  66. 66. Mello CC, Kramer JM, Stinchcomb D, Ambros V (1991) Efficient gene transfer in C.elegans: extrachromosomal maintenance and integration of transforming sequences. EMBO J 10: 3959–3970.
  67. 67. Ch'ng Q, Sieburth D, Kaplan JM (2008) Profiling synaptic proteins identifies regulators of insulin secretion and lifespan. PLoS Genet 4: e1000283. doi: 10.1371/journal.pgen.1000283
  68. 68. Trapnell C, Williams BA, Pertea G, Mortazavi A, Kwan G, et al. (2010) Transcript assembly and quantification by RNA-Seq reveals unannotated transcripts and isoform switching during cell differentiation. Nat Biotechnol 28: 511–515. doi: 10.1038/nbt.1621