The G Protein regulators EGL-10 and EAT-16, the Giα GOA-1 and the Gqα EGL-30 modulate the response of the C. elegansASH polymodal nociceptive sensory neurons to repellents
© Esposito et al; licensee BioMed Central Ltd. 2010
Received: 27 September 2010
Accepted: 11 November 2010
Published: 11 November 2010
Polymodal, nociceptive sensory neurons are key cellular elements of the way animals sense aversive and painful stimuli. In Caenorhabditis elegans, the polymodal nociceptive ASH sensory neurons detect aversive stimuli and release glutamate to generate avoidance responses. They are thus useful models for the nociceptive neurons of mammals. While several molecules affecting signal generation and transduction in ASH have been identified, less is known about transmission of the signal from ASH to downstream neurons and about the molecules involved in its modulation.
We discovered that the regulator of G protein signalling (RGS) protein, EGL-10, is required for appropriate avoidance responses to noxious stimuli sensed by ASH. As it does for other behaviours in which it is also involved, egl-10 interacts genetically with the Go/iα protein GOA-1, the Gqα protein EGL-30 and the RGS EAT-16. Genetic, behavioural and Ca2+ imaging analyses of ASH neurons in live animals demonstrate that, within ASH, EGL-10 and GOA-1 act downstream of stimulus-evoked signal transduction and of the main transduction channel OSM-9. EGL-30 instead appears to act upstream by regulating Ca2+ transients in response to aversive stimuli. Analysis of the delay in the avoidance response, of the frequency of spontaneous inversions and of the genetic interaction with the diacylglycerol kinase gene, dgk-1, indicate that EGL-10 and GOA-1 do not affect signal transduction and neuronal depolarization in response to aversive stimuli but act in ASH to modulate downstream transmission of the signal.
The ASH polymodal nociceptive sensory neurons can be modulated not only in their capacity to detect stimuli but also in the efficiency with which they respond to them. The Gα and RGS molecules studied in this work are conserved in evolution and, for each of them, mammalian orthologs can be identified. The discovery of their role in the modulation of signal transduction and signal transmission of nociceptors may help us to understand how pain is generated and how its control can go astray (such as chronic pain) and may suggest new pain control therapies.
In Caenorhabditis elegans, the two ciliated ASH sensory neurons play a major role in the detection of aversive stimuli and the generation of avoidance responses. The ASH neurons are polymodal in that they are capable of detecting aversive stimuli of different nature (such as water-soluble and volatile chemical repellents, mechanical stress, osmotic shock, pH and heat). Understanding how these neurons function is important as they are useful models of the chemoreceptor and nociceptor neurons present in all animals [1–3]. They can be studied with single-cell resolution in live animals, and their study can take advantage of the powerful molecular and genetic tools available in C. elegans. Many molecules acting in ASH and necessary for signalling have been identified: GPCRs (G Protein Coupled Receptors); G proteins, including several sensory neuron-specific Gα subunits; regulators of G protein signalling (RGS); and various types of channels [1, 3]. The pathways by which different noxious stimuli signals function have not been completely dissected, but it is well established that, for all the aversive stimuli tested so far, the different pathways converge and use the transient receptor potential vanilloid-related (TRPV) channel protein OSM-9, which is the main sensory transduction channel of ASH neurons . Gating of OSM-9 at the dendritic sensory cilia, where it is localised, triggers the depolarisation of the neuron . The ASH neurons are glutamatergic and signal to the downstream command interneurons (AVA, AVB, AVD and PVC) that control forward and backward movement through motoneurons and muscle [3, 6]. Avoidance responses are modulated by environmental and internal cues and by previous experience. Modulation can occur at different points of the underlying neural circuit, including sensory neurons. Various molecules have been identified that are involved in the modulation of the sensitivity of ASH by increasing or decreasing signal transduction and depolarisation [3, 5, 7–10]. Less is known about the mechanisms and molecules that in ASH modulate the transmission of the signal to the downstream interneurons. Exceptions are nlp-3-encoded peptides and their receptor, NPR-17, that mediate serotonin-dependent stimulation of ASH aversive response to dilute octanol  and the EGL-3 proconvertase, which appears to modulate ASH transmission but functions in the downstream interneurons and presumably affects ASH through secreted neuropeptides .
Here we show that the RGS EGL-10 affects avoidance responses by functioning in ASH and interacting with the Go/iα protein GOA-1, the Gqα protein EGL-30, the RGS EAT-16 and the diacylglycerol kinase DGK-1. EGL-10 does not affect ASH signal generation and transduction but acts, by inhibiting GOA-1 signalling, downstream of TRPV/OSM-9 and of the L-type voltage-gated Ca2+ channel (L-VGCC) EGL-19 to modulate transmission of the signal to downstream neurons. EGL-30 instead appears to act upstream of TRPV/OSM-9 to regulate ASH Ca2+ transients triggered by repellents.
Loss of egl-10function affects the response to aversive stimuli
Delay in avoidance response
Response delay in seconds (means ± SEM)
Number of worms
1.19 ± 0.10
2.83 ± 0.17*
1.90 ± 0.18**
1 M glycerol
1.14 ± 0.08
1.32 ± 0.09**
2.56 ± 0.16
50 μM capsaicin
4.48 ± 0.20***
egl-10 interacts with goa-1, egl-30 and eat-16
If the two opposing pathways mechanism that regulates egg-laying functions also in avoidance, one would expect eat-16 and goa-1 mutants to be hypersensitive to aversive stimuli. However, as Figures 2a and 2b show, 1 M glycerol, the high osmotic strength stimulus used in our standard drop test, is too strong a stimulus to allow detection of hypersensitivity. We thus challenged eat-16(ad702) and psra-6::PTX animals with increasing concentrations of glycerol and found that their response to 0.25 M glycerol is in fact significantly higher than that of wild-type animals (Figure 2b).
eat-16 and possibly goa-1, mutants have a higher frequency of spontaneous reversals (see paragraph "EGL-10 may function by modulating synaptic transmission of ASH"). Thus, in principle, their observed rescue of the avoidance defects of egl-10(md176) and egl-30(n686) (Figure 2a) may simply be the result of the increased frequency of spontaneous reversals in double-mutant animals. However, the response to mock stimulation (drop test with buffer alone without repellent) of all the single- and double-mutant strains used were indistinguishable from those of the wild type, with avoidance indexes ranging between 0.15 and 0.25 (Figure 2b and Additional file 1). This result indicates that, as administered, the drop test assay distinguishes between spontaneous reversal and avoidance response and that the restored avoidance responses of the double-mutant animals are true rescues. Overall the genetic interaction experiments show that the four genes interact in a similar way to affect avoidance, egg laying and locomotion, with GOA-1 acting in an inhibitory pathway negatively modulated by EGL-10 and with EGL-30 acting in a stimulatory pathway negatively modulated by EAT-16.
EGL-10 functions in the ASH sensory neurons
To test whether eat-16 acts in ASH, we transformed eat-16;egl-10 double-mutant animals with a transgene in which the eat-16 genomic coding sequence was expressed in ASH under the sra-6 promoter. In these double-mutant animals, the transgene restored the avoidance defects observed in egl-10 single mutants (Figure 3b). To test whether goa-1 is acting in ASH to affect avoidance, we used the psra-6::PTX transgene (see paragraph above "egl-10 interacts with goa-1, egl-30 and eat-16"). Inactivation of GOA-1 by PTX specifically in the ASH neurons completely rescued the avoidance defects of egl-30 (Figure 2a) and of egl-10 mutants and resulted in an avoidance phenotype similar to that of egl-10;goa-1 double mutants (Figure 3b). Taken together, these results indicate that EGL-10, GOA-1 and EAT-16 control avoidance by acting in the ASH sensory neurons.
EGL-10 acts downstream of the TRPV channel OSM-9
In egl-10 mutant animals, the amphidial neurons, including ASH, stain normally with the lipophylic dyes DiI (1,1'-dioctadecyl-3,3,3',3'-tetramethylindocarbocyanine perchlorate) and DiO (3,3'-dioctadecyloxacarbocyanine perchlorate)  (not shown), indicating that loss of egl-10 function does not cause major structural alterations of these neurons and/or of their cilia and that the avoidance phenotype is more likely due to defects in ASH signal transduction or transmission. Within ASH, EGL-10 could function in the signal transduction upstream of OSM-9 or downstream of it. C. elegans does not respond to the chili pepper irritant capsaicin, but animals expressing the rat TRPV1 channel in ASH respond to capsaicin with an escape behaviour similar to the avoidance of the aversive stimuli normally sensed by ASH . Capsaicin directly activates TRPV1 to depolarise ASH and trigger an avoidance response that bypasses the signal transduction upstream of and including OSM-9, but that requires the vesicular glutamate transporter EAT-4 . Thus mutants in genes acting upstream of OSM-9 respond normally to capsaicin, while mutants in genes acting downstream are defective. We used a psra-6::TRPV1 transgene (a gift from C.I. Bargmann, Rockefeller University, New York, NY, USA) that drives the expression of the rat TRPV1 channel in ASH and measured the avoidance response to capsaicin of egl-10(md176) and wild-type animals transgenic for psra-6::TRPV1. We found that the response of egl-10(md176);psra-6::TRPV1 animals was significantly delayed compared to controls (4.5 ± 0.20 seconds versus 2.6 ± 0.16 seconds; P = 0.000) (Table 1), with a fraction of egl-10 mutant animals not responding at all (12%). Thus the avoidance defect of egl-10 mutants is not bypassed by the expression of TRPV1, indicating that EGL-10 is required in ASH downstream of the TRPV/OSM-9 channel.
ASH neurons of egl-10 mutants show normal stimulus-evoked Ca2+transients
EGL-10 may function by modulating synaptic transmission of ASH
Calcium imaging of ASH indicates that, in egl-10 mutants, primary stimulus-evoked signalling is not compromised and results in normal depolarisation and Ca2+ transients that reach the cell body. This suggests that the avoidance phenotype of egl-10 mutants derives from defects in the transmission of the signal to downstream neurons in the circuit. This hypothesis is also consistent with previous data indicating that EGL-10 localises at the sites of chemical synapses  and that, in animals overexpressing egl-10, neurotransmitter release at neuromuscular junctions is increased .
Reduction of synaptic transmission between ASH and the command interneurons results in a delay of the withdrawal response to an aversive stimulus, rather than in a complete absence of the response . Thus the efficiency of synaptic transmission can be measured by the delay in the withdrawal response, and our finding of such delay in the response to the osmotic strength stimulus of egl-10 mutants (Table 1) is consistent with the hypothesis that egl-10 controls neurotransmitter release of ASH.
Previous work has shown that the opposite effects of egl-30 and goa-1 on egg laying and locomotion are exerted through opposing effects on motoneuron transmitter release [16, 27, 28]. The EGL-30 Gqα and the EGL-8 phospholipase Cβ stimulate production of presynaptic diacylglycerol (DAG), which facilitates acetylcholine release at neuromuscular junctions by regulating synaptic vesicle exocytosis . The Goα, GOA-1 and the DAG kinase, DGK-1, inhibit acetylcholine release, decreasing DAG levels at nerve terminals: GOA-1 by decreasing DAG production and DGK-1 by converting DAG to phosphatidic acid . ASH is a sensory neuron, and it signals to the command interneurons via glutamate and not acetylcholine. We asked whether EGL-10 might modulate neurotransmitter release also in ASH through a mechanism similar to that acting at neuromuscular junctions. EGL-10 could positively regulate glutamate release by inhibiting GOA-1 signalling and thus increase DAG levels. Loss of egl-10 function would reduce DAG at the presynaptic terminal, resulting in delayed avoidance responses, while dgk-1 loss of function should increase DAG levels. nu62 is a loss of function allele of dgk-1 , and we could show that dgk-1(nu62) animals are hypersensitive to the high osmotic strength stimulus (Figure 2b). We measured the delay in the response to the high osmotic strength stimulus of dgk-1(nu62);egl-10(md176) double-mutant animals. Consistent with the hypothesis, we found an almost complete rescue of the avoidance phenotype of egl-10 single mutants with regard to both the number of responding animals and the delay in the response time (Table 1).
We have shown that the RGS protein EGL-10 and its partners, the G0/iα GOA-1, the Gqα EGL-30 and the RGS EAT-16 interact genetically in the ASH sensory neuron to modulate avoidance responses of C. elegans to aversive stimuli. Thus the same set of interacting signalling proteins modulates behaviour at the output (neuromuscular junctions) and input (sensory neurons) ends of the neural circuit underlying avoidance. We show that, in ASH, EGL-10 does not affect primary signal transduction but acts downstream of the main signal transducer channel OSM-9 and of the propagation of stimulus-evoked Ca2+ transients to the cell body. The delay in the avoidance response of egl-10 mutants, the frequency of spontaneous, non-stimulus-evoked reversals of locomotion and the genetic interaction with the DAG kinase gene, dgk-1, suggest that EGL-10 contributes to the regulation of neurotransmitter release at the ASH synapses. The results of the genetic interactions and Ca2+ imaging experiments on goa-1 mutants indicate that GOA-1 also acts, in ASH, downstream of OSM-9 and that it interacts with EGL-10 in a fashion similar to that in which these two proteins control acetylcholine release at the neuromuscular junction. The Ca2+ imaging results on egl-30 mutant animals show that, in ASH, this Gqα protein influences Ca2+ transients and depolarisation in response to high osmolarity, indicating a modulatory role for this protein in ASH signal transduction. With regard to EAT-16, our results show that this RGS is required in ASH to modulate avoidance responses with effects opposite to those of EGL-30.
We do not know the endogenous and/or environmental cue(s) to which the GOA-1 and EGL-30 modulatory pathways are responding, and they have not been investigated in this paper. The modulatory effects on ASH responses of the presence or absence of food and of serotonin, octopamine, dopamine and other transmitters have been described previously [5, 8–10, 12, 34]. Important recent work has identified some of the ligands of the receptors and of the Gα proteins involved in the modulation of the response of ASH to dilute octanol. This response is modulated by the feeding status of the animal through the neurotransmitters serotonin and octopamine, the SER-5 and OCTR-1 receptors, respectively, and Gsα (GSA-1), Gqα (EGL-30) and G0/iα (GOA-1) signalling [9–11]. The response to dilute octanol has also been shown to be negatively modulated by dopamine , and DOP-3, a D2-like dopamine receptor, is necessary for this modulation. dop-3 mutants are hypersensitive to dilute octanol, and DOP-3 function is required in ASH as its expression in this neuron is sufficient to rescue the hypersensitivity of dop-3 mutants . It has also been shown that, at least in cholinergic motoneurons, DOP-3 signals through GOA-1 to inhibit locomotion . Together these data suggest that dopamine might contribute to the negative modulation of ASH through the DOP-3 receptor and the activation of GOA-1 signalling. The present study is focused on the role of EGL-10, GOA-1, EAT-16 and EGL-30 in the response of ASH neurons, not to dilute octanol, but to various aversive stimuli and in particular to high osmolarity. It is, however, reasonable to hypothesise that the neurotransmitters and/or neurohormones, as well as the receptors and the Gα signalling molecules, involved in the modulation of ASH are largely the same as those involved in the modulation of the response to dilute octanol.
Like the mammalian nociceptive neurons of the dorsal root ganglia, the C. elegans ASH sensory neurons detect stimuli of different nature (polymodality), use a TRPV channel as the main signal transduction channel and glutamate as a neurotransmitter. ASHs have thus proved to be among the most important models to study in live animals, with single-cell resolution, how nociceptive neurons function. The Gα and RGS molecules we have identified are largely conserved in evolution, and mammalian orthologs for each of them can be identified. Our results raise the possibility that also in mammals similar mechanisms might be in place to modulate the activity of nociceptive neurons in the pathway for pain sensation. The discovery of molecules involved in the modulation of signal transduction and signal transmission in nociceptor neurons and the elucidation of their mechanism of action may shed light on how pain is generated and how its control can go astray (that is, chronic pain) and may be useful for designing new pain control therapies.
In C. elegans, the ASH sensory neurons have a central role in detecting aversive stimuli. The responsiveness of ASH to these stimuli is modulated by endogenous and/or environmental cue(s) that include the presence or absence of food and of serotonin, octopamine and dopamine. Two opposing signalling pathways mediate the effects of these cues. The RGS EGL-10 and the Go/iα protein GOA-1 are key elements of a negative modulatory pathway, while the RGS EAT-16 and the Gqα protein EGL-30 function in a positive modulatory pathway. Within ASH, EGL-10 and GOA-1 act downstream of stimulus-evoked signal transduction and of the main transduction channel OSM-9. EGL-30 instead appears to act upstream by regulating Ca2+ transients in response to aversive stimuli. EGL-10 and GOA-1 do not affect signal transduction and neuronal depolarization in response to aversive stimuli, but act in ASH presynaptically to modulate glutamate release in a fashion similar to that in which these two proteins modulate acetylcholine release at the neuromuscular junction.
Nematodes were grown and handled following standard procedures. Alleles and transgenic strains are described in the text. Wild-type animals were C. elegans variety Bristol strain N2. Alleles used in this work included dgk-1(nu62), goa-1(n363), egl-30(n686), egl-10(md176) and eat-16(ad702), and they were provided by the Caenorhabditis Genetics Center (CGC), which is funded by the National Institutes of Health (NIH) National Center for Research Resources (NCRR). The strain carrying the transgene for Ca2+ imaging Ex[psra-6::G-CaMP] and the strain carrying the transgene to test capsaicin avoidance Is[pelt-2::gfp; psra-6::TRPV1] were kindly provided by C.I. Bargmann (Rockefeller University, New York, NY, USA). Transgenic strains used in this work were NA193 gbEx506 [psra-6::PTX; pelt-2::gfp], NA842 egl-10(md176), gbEx508 [psra-6::egl-10; pR09E10.7::gfp], NA273 gbEx515 [psra-6::eat-16; pelt-2::gfp], NA879 egl-10(md176) and gbEx516 [podr-10::egl-10; pelt-2::gfp]. Genetic crosses were used to obtain double mutants and to transfer transgenes to the appropriate genetic backgrounds. In all cases, the presence of the mutant alleles was verified by polymerase chain reaction (PCR) followed, when necessary, by sequencing. Worms were grown under uncrowded conditions at 20°C on NGM (Nematode Growth Medium) agar plates seeded with Escherichia coli strain OP50.
Cell-specific expression constructs
Constructs for cell-specific expression of genes were obtained by PCR fusion as described by Hobert, 2002  and included two steps. In the first step, sequences corresponding to the gene studied (genomic or cDNA) and to the chosen cell-specific promoter were amplified separately. In the second step, the cell-specific promoter and the gene fragment were fused by amplification using nested primers. Promoter sequences were amplified from genomic DNA and included sequences upstream as well as the ATG of the gene.
For the sra-6 promoter a 3 kb fragment was amplified using the following primers:
1.sra-6 forward = AGTGAGCATGAAGAAGGTAGAGGTTTTC
2.sra-6 reverse = GGCAAAATCTGAAATAATAAATATTAAATTCTGCG
3.sra-6 forward nested = CATGTTAGATAGTATGCTGCACTATAAGG
For the odr-10 promoter a 7 kb fragment was amplified using the following primers:
1.odr-10 forward = GGGACGTGCGAAATAGCATTGG
2.odr-10 reverse = AGCTGTAAGGTATCTTAATG
3.odr-10 forward nested = GATATCTACTTAAATATATAGGGACGTGCG
Because these promoters were used to drive transcription of different target genes, the reverse series of primers had, at the 5' end, 25 additional nucleotides complementary to the 5' extremities of the amplified gene fragment to which they had to be fused.
egl-10 cDNA (3 kb) was amplified from plasmid pUT35A (a gift from M. Koelle, Yale University, New Haven, CT, USA). In this plasmid, the egl-10 cDNA was fused to the 3' UTR of the unc-54 gene, and for the fusion the same reverse primer as that used for the first step was used. Primers were as follows:
1.egl-10 forward = ATGGCTCTACCAAGATTGAGGGTAAATG
2.egl-10 reverse = GGAAACAGTTATGTTTGGTATATTGGG
ptx cDNA (1.5 kb) was amplified from plasmid pJT40 (a gift from M. Koelle, Yale University, New Haven, CT, USA). Primers were as follows:
1.ptx forward = ATGGACGATCCTCCCGCCACC
2.ptx reverse = GCCGACTAGTAGGAAACAGT
3.ptx reverse nested = CAGTTATGTTTGGTATATTGG
eat-16 coding sequence (2.4 kb) was amplified from genomic DNA. Primers were as follows:
1.eat-16 forward = ATGATGCCACCGTTGACCAAG
2.eat-16 reverse = ATTGAACATCAACGCCTACA
3.eat-16 reverse nested = TTATGTAACAACTCCGGTTCTG
Germline transformation was performed as described previously . The coinjection marker used was pelt-2::GFP (pJM67, a gift from J. McGhee, Calgary, AB, Canada), which drives green fluorescent protein (GFP) expression in intestinal cells, and pR09E10.7::GFP, which drives GFP expression in the pharynx. The expression constructs were all injected at 50 ng/μl together with pJM67 (20 ng/μl) and pR09E10.7::GFP (50 ng/μl). At least three independent lines for each construct were tested for the avoidance phenotype (see Additional file 2).
Avoidance of high osmotic strength, quinine and copper ions was assayed using the drop test  on NGM agar plates 6 cm in diameter. A single drop of repellent (1 M glycerol, 10 mM quinine, 1 mM copper) was placed near the tail of an animal moving forward. The animal started a backward motion when, by capillary action, the repellent reached the tip of its mouth, where sensory cilia were exposed. The response was scored as positive if the animal backed up within 3 seconds. The results are expressed as avoidance index (AI), which is the number of positive responses divided by the total number of trials. Delay in avoidance response was determined using the dry drop test [6, 12]. In brief, a well-fed young adult animal was transferred to an unseeded agar plate and allowed to recover for at least 2 minutes. A small drop of repellent (1 M glycerol or 50 μM capsaicin) was then placed in the path of the worm as it moved forward. The time interval in seconds (delay) between the initial contact of the animal with the solution and the response (backward movement) was recorded. In Table 1, only animals responding within 7 seconds were used to calculate the delay time. Octanol (100%) avoidance was tested as described previously  and is expressed as the number of seconds that animals took to start backward movement. The response to anterior light body touch was tested as described previously , and the results are reported as avoidance indexes. For all of the avoidance assays (osmotic strength, quinine, copper ions, anterior light body touch, octanol and delay in avoidance), at least 50 animals of each genetic makeup were tested in groups of 10 or 20 with three drops/animal.
The frequency of spontaneous reversals was measured as described previously  with some modifications. A single, well-fed, young adult animal was placed on a standard unseeded NGM agar plate. After a brief equilibration time of 3-5 minutes, the movement of the animal was observed for 3 minutes and the number of times the animal stopped and reversed its forward movement was counted. At least 50 animals were tested, and the results are reported as reversals/minute.
In vivo Ca2+imaging of ASH neurons
Ca2+ imaging followed the method described previously  with some modifications. Well-fed, young adult hermaphrodites carrying the sra-6::G-CaMP transgene were picked under a fluorescence stereoscope. To minimize signal variations due to G-CaMP expression levels, only animals with similar expression were used. Animals were immediately glued with 2-octyl cyanoacrylate adhesive onto a chilled, hydrated 2% agarose pad on a glass coverslip. The coverslip was attached with silicone to a flow chamber (RC-26GLP; Warner Instruments, Hamden, CT, USA) perfused with saline at a rate of 1.0 ml/minute. Glycerol, quinine and copper were dissolved in saline buffer to final concentrations of 1 M, 10 mM and 1 mM, respectively, and delivered under light hydrostatic pressure through a glass needle near the tip of the animal's head. The movement of the needle was controlled through a manual micromanipulator. Each imaging trial lasted for approximately 40 seconds with the following temporal sequence: approximately 10 seconds baseline, approximately 3 seconds stimulation and approximately 35 seconds recovery. Animals were stimulated for a maximum of three trials with an intertrial interval of 3-5 minutes if they stayed healthy. Optical recordings were taken with a Leica TCS SP2 confocal microscope (Leica Microsystems, Wetzlar, Germany). Fluorescence images were acquired (five frames/second), and a region of interest (ROI) with ASH cell body in focus was chosen. Quantitative measures of the intensity of the G-CaMP fluorescence from the ROI were obtained from the photomultiplier data. Changes in fluorescence intensity over time were calculated relative to averaged prestimulus baseline, ΔF/F. Both incremental ratios over time and the maximal incremental ratios from each trial were calculated. The incremental ratios were calculated for every frame (five points/second). Trials in which artifacts such as movement of the animal's head or if strong bleaching was conspicuous were discarded.
Means, standard deviations and standard errors of mean values were calculated for each data set. The statistical significance was determined using Student's t-test comparing each data set against the control.
We thank Salvatore Arbucci and Anna Sollo for technical assistance and the IGB Open Laboratory for facilities and resources; Massimo A. Hilliard and Carla Perrone Capano for useful comments on the manuscript; and J. McGhee, J. Nakai Saitama, C.I. Bargmann and M. Koelle for transgenic strains, plasmids and reagents. Some nematode strains used in this study were provided by the Caenorhabditis Genetics Center, which is funded by the National Institutes of Health National Center for Research Resources (NCRR). This work was partially supported by Merit/Firb RBNE08LN4P_002.
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