Predator-secreted sulfolipids induce defensive responses in C. elegans

Liu, Zheng; Kariya, Maro J.; Chute, Christopher D.; Pribadi, Amy K.; Leinwand, Sarah G.; Tong, Ada; Curran, Kevin P.; Bose, Neelanjan; Schroeder, Frank C.; Srinivasan, Jagan; Chalasani, Sreekanth H.

doi:10.1038/s41467-018-03333-6

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Published: 19 March 2018

Predator-secreted sulfolipids induce defensive responses in C. elegans

Zheng Liu¹^na1,
Maro J. Kariya²^na1,
Christopher D. Chute³^na1,
Amy K. Pribadi^1,4,
Sarah G. Leinwand¹,
Ada Tong¹,
Kevin P. Curran¹,
Neelanjan Bose²,
Frank C. Schroeder²,
Jagan Srinivasan³ &
…
Sreekanth H. Chalasani^1,4

Nature Communications volume 9, Article number: 1128 (2018) Cite this article

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Abstract

Animals respond to predators by altering their behavior and physiological states, but the underlying signaling mechanisms are poorly understood. Using the interactions between Caenorhabditis elegans and its predator, Pristionchus pacificus, we show that neuronal perception by C. elegans of a predator-specific molecular signature induces instantaneous escape behavior and a prolonged reduction in oviposition. Chemical analysis revealed this predator-specific signature to consist of a class of sulfolipids, produced by a biochemical pathway required for developing predacious behavior and specifically induced by starvation. These sulfolipids are detected by four pairs of C. elegans amphid sensory neurons that act redundantly and recruit cyclic nucleotide-gated (CNG) or transient receptor potential (TRP) channels to drive both escape and reduced oviposition. Functional homology of the delineated signaling pathways and abolishment of predator-evoked C. elegans responses by the anti-anxiety drug sertraline suggests a likely conserved or convergent strategy for managing predator threats.

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Introduction

Animal survival depends on the ability to sense predators and generate appropriate behavioral and physiological changes¹. Such defensive behaviors², including the commonly observed ‘flight or freezing’ responses, are often hard-wired into the genome of the prey—for example, mice reliably exhibit fear-like responses to cat odors despite not having encountered cats for hundreds of generations³. Despite this, the neuronal and signaling machinery that regulate defensive behaviors remains poorly understood. One approach to uncovering the nature of innate defensive responses is to identify the molecular signals between predators and prey and map the underlying neuronal and molecular machinery that drive defensive responses to these signals.

Studies from both vertebrates and invertebrates indicate that signaling between predators and prey involves multiple sensory modalities including vision, audition, and most frequently olfaction^4,5,6. Considerable progress has been made in identifying the sensory neurons that detect predator-released odors in several model systems. For example, in mice, the chemosensory neurons in the vomeronasal organ (VNO), Grueneberg ganglion, and main olfactory epithelium have been shown to facilitate defensive behaviors through detection of signals from cat urine and fox feces^3,7,8. These neurons project to higher brain regions where predator odor information is processed to generate stereotyped defensive behaviors⁹. More generally, it is thought that circuit constancy typically accompanies behavioral stereotypy. While neural circuits that detect odors vary between individuals¹⁰, those sensing predator-released odors appear to be invariant between members of the same species³. However, the precise identities of the participating neurons, their connections, and the nature of the circuit computations driving these invariant defensive behaviors have remained elusive.

We approached these questions by analyzing the behavioral responses of the nematode Caenorhabditis elegans¹¹ to a predatory nematode Pristionchus pacificus¹². These two nematodes likely shared a common ancestor around 350 million years ago¹³. Recent studies have shown that P. pacificus is a facultative predator. P. pacificus can bite and kill C. elegans, a process facilitated by the extensive re-wiring of the P. pacificus nervous system under crowded and/or starvation conditions^14,15. C. elegans, with its fully mapped neural network comprising of just 302 neurons connected by identified synapses and powerful genetic tools, is ideally suited for a molecular and circuit-level analysis of complex behaviors^16,17. Combining chemical and genetic methods, we dissected the signaling circuits underlying C. elegans’ responses to P. pacificus. We found that a novel class of sulfated small molecules excreted by P. pacificus trigger defensive responses in C. elegans. These P. pacificus-derived chemical signals are detected by C. elegans via multiple sensory neurons and processed via conserved signaling pathways.

Results

A predator elicits defense responses in C. elegans

C. elegans was originally isolated from compost heaps in the developmentally arrested dauer stage¹⁸. However, recent studies have isolated proliferating and feeding populations of C. elegans from rotting flowers and fruits¹⁹, where they are often found to cohabit with other nematodes including the Diplogastrid Pristionchus (M-A. Felix, personal communication). Previous reports have shown that the terrestrial nematode, P. pacificus can kill and consume the smaller nematode C. elegans²⁰. We hypothesized that the prey, C. elegans, detects the predator, P. pacificus, through chemical cues and thus tested C. elegans responses to P. pacificus excretions. We found that C. elegans showed immediate avoidance upon perceiving excretions of starved, but not well-fed predators (Fig. 1a and Supplementary Fig. S1a). Excretions from P. pacificus collected after 21 h of starvation (‘predator cue’) were found to consistently repel genetically diverse C. elegans isolates (Supplementary Fig. S1b). Next, we tested whether volatile components could be responsible for the activity of the predator cue by analyzing prey responses using a chemotaxis assay optimized for volatiles. We found that predator cue had no significant effect on C. elegans taxis responses in this assay (Supplementary Fig. S1c,d), indicating that volatiles do not contribute to the activity of predator cue. Together, these results show that starving P. pacificus release potent non-volatile repellent(s) that induce rapid C. elegans avoidance.

We further found that C. elegans exposed to predator cue did not lay eggs for many minutes following exposure, even when placed on food (bacterial lawn), suggesting that predator cue-induced stress affects egg-laying behavior. Consistent with this idea, previous studies have shown that C. elegans retain eggs in the gonad when exposed to environmental stressors²¹. To test our hypothesis, we designed a behavioral assay wherein the prey was exposed to predator cue for 30 min, and egg-laying was monitored for many hours following cue removal. Animals exposed to predator cue laid significantly fewer eggs than controls during the initial 60 min following cue removal. During the next hour (i.e., the 60–120 min post-cue time period), these animals laid more eggs than controls, suggesting that predator cue transiently modified egg-laying behavior, but not egg production (Fig. 1b). Collectively, these results indicate that starving P. pacificus release a potent, non-volatile factor (predator cue) that elicits multiple prey responses, namely urgent escape behavior followed by up to one hour of reduced egg laying.

Predator-derived sulfolipids elicit defense responses

We aimed to identify the chemical structure(s) of the small molecule(s) excreted by P. pacificus that cause C. elegans avoidance behavior. As the P. pacificus exo-metabolome is highly complex, consisting of more than 20,000 distinct compounds detectable by UHPLC-HRMS (Fig. 1c), we used a multistage activity-guided fractionation scheme (see Supplementary Methods). After three rounds of fractionation, chemical complexity of individual fractions had been reduced sufficiently to enable comparative metabolomics analysis of 2D NMR spectra^22,23 and high-resolution tandem mass spectrometry data of active and adjacent inactive fractions (Fig. 1d, e, Supplementary Tables S1–S3). This analysis revealed several novel (ω-1)-branched-chain sulfolipids (sufac#1, and sufal#2) as major components of active, but not inactive fractions (Fig. 1f). Further analysis revealed several additional sulfolipids with closely related structures, including sufac#2 and sufal#1, which differ in the position of attachment of the sulfate moiety (Fig. 1h). Next, we corroborated the structures of these compounds via total synthesis and tested their activity in the avoidance assay. The terminal alcohols sufal#1 and sufal#2 accounted for most of the isolated activity (Supplementary Fig. S3a, Supplementary methods).

None of the identified P. pacificus sulfolipids could be detected in the metabolomes of Escherichia coli OP50 (used as food for nematodes) (Supplementary Fig. S2), C. elegans, or several other nematode species (Supplementary Table S4), which were extracted and analyzed under identical conditions. Notably, the identified sulfolipids are structurally similar to sodium dodecyl sulfate (SDS, Fig. 1i), which is a potent C. elegans avoidance cue²⁴.

Sulfolipids are perceived by redundant sensory neurons

To define the prey neural circuit that detects predator cue, we tested the role of all 12 pairs of amphid sensory neurons, which project dendrites to the nose of the animal to sense environmental changes (Fig. 2a)^16,25. Previous studies have shown that sensory neurons in the amphid ganglia located in the head of the worm detect repellents and generate reversals in an attempt to avoid the noxious cues²⁶. We generated animals missing each of the 12 amphid neuron pairs and tested their ability to respond to predator cue. We found that animals lacking pairs of ASJ, ASH, ASI, or ADL neurons were defective in their responses to predator cue (Fig. 2b, c), indicating that C. elegans uses multiple sensory neurons to detect predators. Responses to sulfolipids purified from predator cue and SDS were similarly reduced in animals lacking these neurons (Supplementary Fig. S3f, g). In contrast, animals missing any of the other 8 neuronal pairs showed normal responses suggesting that these neurons were not required for avoidance to predator cue.

To confirm the involvement of the ADL, ASH, ASI, and ASJ neurons, we monitored their responses to predator cue using calcium imaging²⁷. Calcium responses are strongly correlated with neuronal activity in C. elegans neurons²⁸. We found that adding predator cue to the nose of the prey activated ADL and ASH (Fig. 2d, e, Supplementary Fig. S4 for all traces), whereas predator cue removal activated ASI and ASJ neurons (Fig. 2f, g, Supplementary Fig. S4 for all traces). Also, whereas ADL and ASJ responded to both tested dilutions of predator cue (Fig. 2d, g), ASH and ASI only detected the more concentrated cue (i.e., 1:10 dilution, but not 1:50) (Fig. 2e, f), suggesting different response thresholds for these four neuronal pairs. Collectively, these results show that addition of predator cue activates ADL and ASH neurons, whereas its removal increases ASI and ASJ activity.

C. elegans defensive responses require CNG and TRP channels

To gain insight into the signal transduction machinery underlying these responses, we examined the behavior of mutants lacking specific signaling components. We found that mutants lacking the alpha subunit (tax-4), but not the beta subunit (tax-2), of the cyclic nucleotide-gated (CNG) ion channel exhibited defective responses to predator cue (Fig. 3a). Previously, TAX-4 but not TAX-2 subunits have been shown to form a homomeric CNG channel²⁹, suggesting that TAX-4 might function in a TAX-2 independent manner. Moreover, expressing the full-length tax-4 cDNA via a tax-4 promoter, an ASI-specific promoter, or an ASJ-specific promoter (but not via an ASH-selective promoter) restored normal behavior to the null mutants (Fig. 3a). The ability of these transgenes to rescue avoidance behavior was largely dose dependent, as it varied depending on the amount of tax-4 transgene expressed in ASI and ASJ neurons (Supplementary Fig. S5a). These data indicate that increased CNG signaling from ASI neurons could compensate for the lack of signaling from ASJ, and vice-versa. Collectively, these results show that TAX-4 functions in a TAX-2 independent manner in ASI and ASJ neurons to drive predator avoidance. Similarly, mutants lacking the transient receptor potential (TRP) channel OCR-2, but not OSM-9, were defective in their responses to predator cue. Further, we observed that OCR-2 functions in ADL and ASH neurons, but not in ASI or ASJ neurons (Fig. 3b), and that responses to ASH- and ADL-specific ocr-2 transgenes were also dose dependent (Supplementary Fig. S5b), indicating that signaling from ASH could compensate for the lack of ADL signaling, and vice-versa. Testing samples of purified sulfolipids confirmed that tax-4 (but not tax-2) and ocr-2 (but not osm-9) mutants were defective in avoidance to these molecules (Supplementary Fig. S5c). Together, these results show that OCR-2 functions in a OSM-9 independent manner in ASH and ADL neurons to generate avoidance to predator cue, results consistent with previous studies^30,31.

To investigate possible interactions between CNG and TRP channel signaling, we analyzed tax-4;ocr-2 double mutants. Restoring TAX-4 function to ASI neurons and OCR-2 to ASH neurons (in combination) using the highest dosage of the respective transgenes conferred normal predator cue avoidance to the double mutants (Fig. 3c). Moreover, partial avoidance was seen for other rescue combinations (TAX-4 in ASJ and OCR-2 in ASH; TAX-4 in ASI and OCR-2 in ADL, and TAX-4 in ASI alone) (Fig. 3c). Together, these data indicate that there are at least four neuronal signaling pathways that can drive robust avoidance to Pristionchus cue: (1) ASI sensory neurons using TAX-4 channels; (2) ASI and ASH neurons using TAX-4 and OCR-2 channels, respectively; (3) ASJ and ASH using TAX-4 and OCR-2 channels, respectively; and (4) ASI and ADL using TAX-4 and OCR-2 channels, respectively (Fig. 3d). Similarly, we found that tax-4 mutants, but not ocr-2 mutants, did not curtail their egg-laying behavior (a longer-lasting effect) in response to predator cue, and that restoring TAX-4 function to ASI or ASJ significantly improved this tax-4 defect (Fig. 3e, f). These results show that signaling from a subset of the sensory circuitry that drives instantaneous avoidance (ASI or ASJ, but not ASH or ADL) is required to generate the long-lasting changes in egg-laying behavior.

Sertraline acts on GABA signaling to block prey behavior

To identify signaling pathways regulating responses to predator cue, we screened a library of human anti-anxiety drugs since these compounds have previously been shown to attenuate predator-induced defensives responses in a prey³². In this screen, wild-type animals were pre-treated with different compounds for 30 min before testing their responses to predator cue. In a pilot screen of 30 compounds (Supplementary Table S5), we found that pre-treating prey with a selective serotonin reuptake inhibitor (SSRI), sertraline (brand name ‘Zoloft’) attenuated avoidance to predator cue and purified sulfolipids (Fig. 4a, Supplementary Fig. S6a). Sertraline also attenuated avoidance responses to fructose, and, to a lesser extent, CuSO₄ (Fig. 4a), suggesting that this drug affects some, but not all repellent circuits. Suppression of avoidance behavior by sertraline was dependent on drug concentration (Supplementary Fig. S6b) and lasted at least 30 min after the drug was removed (Supplementary Fig. S6c). To test whether sertraline modifies signaling from specific sensory neurons, we analyzed mutants expressing different rescuing transgenes. Sertraline had no detectable effect on the behavior of tax-4 or ocr-2 mutants, but it attenuated avoidance to predator cue of tax-4 mutants expressing tax-4 in ASI or ASJ, and ocr-2 mutants expressing ocr-2 in ADL or ASH (Fig. 4b). These results indicate that sertraline likely acts downstream of CNG and TRP channels in the ASI, ASJ, ADL and ASH sensory circuits to modulate avoidance responses.

To identify relevant molecular targets of sertraline, we analyzed the behavior of gene mutants in various neurotransmitter-signaling pathways. We found that animals unable to release glutamate (eat-4, vesicular glutamate transporter³³) had reduced responses to predator cue, but showed significant sertraline-induced modulation of avoidance behavior (Fig. 4c), suggesting that glutamate was required for avoidance response, but not for the effect of sertraline on avoidance. In contrast, animals lacking glutamic acid decarboxylase (unc-25, encoding an enzyme required for GABA synthesis³⁴), but none of the other tested neurotransmitter biosynthetic enzymes were defective in sertraline attenuation (Fig. 4c, Supplementary Fig. S6d). Additionally, adding GABA exogenously to the agar plate was sufficient to restore wild-type-like sertraline-evoked responses in unc-25 mutants, confirming that GABA signaling is required for sertraline-mediated attenuation of predator (Fig. 4c). These results are consistent with previous studies showing that SSRIs can modify GABA signaling without affecting serotonin levels in the mammalian brain^35,36, suggesting a broad conservation of the underlying signaling mechanisms.

Next, we tested whether sertraline acts on GABA signaling in specific neurons by restoring UNC-25 function using cell-specific promoters. We found that restoring UNC-25 function to all 26 GABAergic neurons³⁷ or under a RIS interneuron-selective promoter³⁸ was sufficient to restore sertraline attenuation of predator avoidance (Fig. 4d). RIS-selective unc-25 knockdowns showed normal predator avoidance, but reduced sertraline modulation, confirming RIS as the site of sertraline action (Fig. 4d). The RIS interneuron has been previously shown to play a role in inducing a sleep-like state in C. elegans^38,39 and our results suggest an additional function for this neuron in modifying predator behavior. Efforts to identify the molecular target of sertraline were unsuccessful as mutants in the vesicular GABA transporter (unc-47), an auxiliary transport protein (unc-46), the plasma membrane GABA transporter (snf-11) or a solute carrier 6 plasma membrane reuptake transporter (snf-10) showed normal predator avoidance and sertraline modulation (Fig. 4e), indicating that sertraline acts on an unidentified target in the GABA signaling pathway. Finally, we found that sertraline treatment also reduced the longer-lasting egg-laying response (Fig. 4f) showing that the drug blocks C. elegans’ responses on multiple timescales. Taken together, these results indicate that the anti-anxiety drug sertraline abolished predator-induced C. elegans responses by acting on GABA signaling in the RIS interneuron.

Discussion

We show that P. pacificus releases a mixture of sulfolipids that C. elegans perceives as a predator-specific molecular signature, or kairomone⁴⁰. Perception of these sulfolipids via multiple sensory neurons initiates defensive responses including rapid avoidance and a longer-lasting reduction in egg-laying behavior (Fig. 4g). Among the nematode species whose metabolomes we have analyzed, P. pacificus is the only one that excretes copious amounts of sulfolipids. Sulfated fatty acids and related lipids have previously been described primarily from marine sources, including tunicates⁴¹, sponges⁴², crustaceans⁴³, and algae⁴⁴. In addition, a family of sulfated fatty acids, the caeliferins, has been identified from grasshopper oral secretions^45,46. In a striking parallel to the role of sulfated lipids in the nematode predator-prey system studied here, these herbivore-associated sulfolipids have been shown to elicit specific defense responses in plants⁴⁶. Furthermore, the sulfolipids we identified from P. pacificus resemble sodium dodecyl sulfate (SDS), a known nematode repellent²⁴. We found that, similar to avoidance triggered by predator cue, ASJ, ASH, and ASI neurons are necessary for avoidance to SDS (Supplementary Fig. S3g). Given the similarity of the neuronal circuitry required for the avoidance responses, it appears that C. elegans avoid SDS because of its structural similarity to the Pristionchus-released sulfates, which are interpreted as a molecular signature of this predator.

The sulfolipids we identified from P. pacificus, sufac#1 and sufal#2, and several related compounds, appear to be derived from the monomethyl branched-chain fatty acid (mmBCFA), C15ISO, which is also produced by C. elegans and has been shown to be essential for C. elegans growth and development⁴⁷. The biosynthesis of C15ISO in C. elegans requires the fatty acid elongase ELO-5, and several homologous elongases in P. pacificus exist that may be involved in the biosynthesis of the fatty acid precursors of sufac#1 and sufal#2. Additionally, the biosynthesis of sufac#1 and sufal#2 requires oxygenation at the (ω-5) or (ω-6) position in the fatty acid chain, respectively, followed by sulfation by sulfotransferase(s), a family of genes that has undergone major expansion in P. pacificus⁴⁸. Notably, at least one sulfotransferase, EUD-1, functions as a central switch determining whether P. pacificus larvae will develop into a primarily bacterivorous, narrow-mouthed adult, or into a predacious, wide-mouthed adult that can feed on other nematodes⁴⁹. It is intriguing that C. elegans has evolved the ability to detect a Pristionchus-specific trait (the extensive sulfation of small molecules) that is directly connected to the endocrine signaling pathway that controls development of the morphological features required for predation.

Detection of predator cue relies on a sensory neural circuit consisting of at least four different amphid neurons (ASI, ASH, ASJ and ADL, Fig. 4g). These neurons have well-described roles in detecting chemicals from the environment: the ASI and ASJ sensory neurons play a major role in the detection of ascaroside pheromones, whereas the ASH neurons are nociceptive and drive avoidance to glycerol and copper, and ASH and ADL act together to promote social feeding^24,50,51,52. Therefore, whereas ASH and ADL have previously been shown to drive avoidance behavior^24,26, our finding that ASI and ASJ are involved in generating avoidance is novel. Participation of these additional neurons facilitates redundancy, such that signaling from ASI, ASI and ASH, ASI and ADL, ASJ and ASH, and ASJ and ADL is sufficient to drive avoidance to predator cue. Similarly, signaling from either ASI or ASJ neurons alters egg-laying behavior, indicating that these neurons can affect C. elegans behavior on multiple timescales. We suggest that ASI and ASJ neurons encode both the removal of predator cue and some aspects of stimulus history. This enables these neurons to drive two behaviors on very different timescales: (1) a rapid avoidance when exposed to predator cue for a second and (2) a 60 min long reduced egg-laying when presented with the same predator cue for 30 min. These results are consistent with previous studies where ASI neurons have been shown to modify long-lasting behaviors⁵³. More generally, redundant circuit(s) are likely to decrease the failure rate for signaling, thereby increasing the robustness of the behavioral output. Similar redundant circuits have been described for sensory neurons detecting temperature⁵⁴ or odors⁵⁵, and in neural circuits driving feeding in the crab⁵⁶.

The neuronal signaling machinery in the ASI, ASJ, ASH and ADL sensory neurons relies on CNG and TRP channels to mediate responses to predator cue. CNG ion channels typically consist of alpha and beta subunits and have been shown to play a central role in regulating chemosensory behaviors across multiple species^57,58. Because the alpha subunit homolog TAX-4 is required for detecting predator cue, whereas the beta subunit TAX-2 is not, we suggest that homomeric TAX-4 channels act in the ASI and ASJ sensory neurons. In vitro experiments have shown that C. elegans TAX-4 subunits can form a functional homomeric channel when expressed in HEK293 cells²⁹. Similarly, alpha subunits of the CNG channels have also been shown to function as homomeric channels both in vitro and in vivo^59,60. Our studies also indicate a role for a subunit of the TRP channel OCR-2, but not its heteromeric partner OSM-9⁶¹. We suggest that OCR-2 can either form a homomeric channel or interact with other non-OSM-9 TRP channel subunits to generate a functional channel and drive avoidance behavior. These results are consistent with previous studies where OCR-2 has been shown to act independently of OSM-9 in regulating C. elegans larval starvation³⁰ and egg-laying behaviors³¹. Our results for the role of TRP channels are reminiscent of rodent studies where TRP channels have been found to play a crucial role in initiating responses to predator odors from cats³, suggesting broad conservation of the molecular machinery that detects predators. Taken together, we hypothesize that signaling from homomeric CNG and TRP channels acting in distinct, but redundant sensory circuits enable reliable detection of predators by the prey.

We further show that the anti-anxiety drug, sertraline, acts downstream of CNG and TRP channels and requires GABA signaling in RIS interneurons to suppress predator-evoked responses. Sertraline has been shown to be particularly effective in alleviating human anxiety disorders⁶² and, classified as an SSRI, is thought to act in part by elevating serotonin levels at synapses⁶³. Our studies show that sertraline requires GABA, but not serotonin signaling, to exert its effects on C. elegans avoidance behavior. Other SSRIs have also been shown to require GABA signaling in mammalian^35,36 and C. elegans nervous systems⁶⁴, in addition to effects on other neurotransmitter pathways including dopamine, glutamate, histamine, and acetylcholine⁶⁵. We further show that sertraline action in C. elegans requires functional glutamic acid decarboxylase, a GABA biosynthesis enzyme specifically in RIS interneurons, defining the site of action of the drug. RIS interneuron have been implicated in modulating a sleep-like state in C. elegans³⁸. Previous studies have shown that RIS interneuron released neuropeptide, FLP-11 and not GABA is the major determinant of the sleep-like state³⁹. We suggest that GABA signaling in this interneuron might have a role in modulating C. elegans avoidance behaviors, particularly to external threats.

In summary, our results uncover the chemosensory and neuronal basis of a predator-prey relationship between P. pacificus and C. elegans, in which predator detection is based on a characteristic molecular signature of novel sulfate-containing molecules. The prey uses multiple sensory neurons acting in parallel and conserved CNG and TRP channel signaling to detect these sulfates and drive rapid avoidance and longer-lasting reduced egg-laying responses. Additionally, we show that sertraline acts on GABA signaling in RIS interneurons to attenuate C. elegans avoidance behavior. Based on these results, we hypothesize that C. elegans evolved mechanisms to detect Pristionchus-released sulfolipids as a kairomone, and that the identified neuronal signaling circuitry is representative of conserved or convergent strategies for processing predator threats.

Methods

Calcium imaging

Transgenic animals expressing the genetically encoded calcium indicator, GCaMP⁶⁶, under cell-selective promoters were trapped in a custom-designed microfluidic device²⁷ and their responses to predator cue were recorded. The stimulus (predator cue) was diluted in M9 buffer (3 g KH₂PO₄, 6 g Na₂HPO₄, 5 g NaCl, 1 ml 1 M MgSO₄ per liter of water) as indicated. GCaMP imaging was performed on a Zeiss inverted microscope using a Photometrics EMCCD camera. Images were captured using MetaMorph software at 10 Hz and analyzed offline using MATLAB scripts. Baseline F_o was measured as the average intensity across the first 1–9 s of each recording (or 121–129 s for bar plot quantifications of the responses to stimulus removal). The ratio change in fluorescence to the baseline F_o is plotted in Fig. 2d–g. For bar plots shown in Fig. 2d–g, average responses in a 10 s window after stimulus addition (time 10–20 s) and a 15 s window after removal (time 130–145 s) are shown. Two-tailed unpaired t-tests were used to compare neuronal responses, and the Bonferroni correction was used to adjust for multiple comparisons. Individual traces are shown in Figure S4.

Cell ablations

For laser ablation experiments, worms were immobilized on agar pads containing 2% agarose with 1 mM sodium azide as anesthetic on glass slides. Individual neurons were identified using DIC optics. Cells were ablated at the L1 larval stage by focusing a laser beam focused through the objective of the microscope. The laser beam is focused in three dimensions on a single spot in the field of view of the identified neuron, specifically the nucleus of the neuron. Pulses of laser were administered and disintegration of the nucleus was monitored under DIC optics. The ablated animals were rescued from the slide and transferred to a standard NGM plate with food. The animals were allowed to recover from the procedure and assayed as young adults 72 h later. Animals with ablated neurons were tested in parallel with controls on the same day.

Chemotaxis assay

Chemotaxis assays were performed on 2% agar square (10 cm) plates containing 5 mM potassium phosphate (pH 6), 1 mM CaCl₂, and 1 mM MgSO₄. Animals were washed three times in M9 and once in chemotaxis buffer (5 mM potassium phosphate (pH 6), 1 mM CaCl₂, and 1 mM MgSO₄) and then placed in the middle of the plate (Supplementary Fig. 1c). Two spots of the collected nematode secretions and two control M9 spots (all 1 μl) were added to opposite sides of the plate, generating gradients of any volatile components in the nematode secretions. Animals were allowed to explore these gradients for 1 h, after which they were counted and the chemotaxis index calculated (Supplementary Fig. 1d). Benzaldehyde (1:200) and 2-nonanone (undiluted) were used as control attractants and repellents, respectively²⁵. Nine or more assays were performed on at least three different days. Two-tailed unpaired t-tests were used to compare C. elegans responses to different secretions, and the Bonferroni correction was used to adjust for multiple comparisons.

P. pacificus predator cue

Nematodes (C. elegans, and P. pacificus PS312 or RS5275B) were cultured on 10 cm wide NGM plates seeded with lawns of OP50 E. coli (OD₆₀₀ = 0.5). Animals from 40 such plates were harvested just before the bacteria were completely depleted (6 days), and washed 5 times with M9 buffer. Animals from these plates were pooled into microfuge tubes with approximately 100 μl of worms and the secretions were collected at the starvation times indicated in about 100 μl of M9 buffer. Predator Cue (RS5275B secretions) were tested and diluted in M9 buffer for further experiments. C. elegans secretions (N2 cue) were used in Figs 1 and 2, Supplementary Figures S1 and S4. To further concentrate the predator cue for egg-laying assays, we passed the secretions through a Microcon 3 K Centrifugal Filter Column (Millipore), reducing the final volume to 1/10 of the initial volume. This concentrated predator cue was then used in behavioral assays.

Egg-laying assay

Synchronized Day 1 adults were treated with M9 control buffer or concentrated predator cue for 30 min. These animals were transferred to a 2-day lawn of 100 μl OP50 bacteria (OD₆₀₀ = 0.5) and allowed to lay eggs. Eggs were counted at the time intervals shown. In each condition and genotype, at least 35 animals were analyzed. Average number of eggs and s.e.m. are presented with two-tailed unpaired t-tests with Bonferroni correction for statistical analysis. To test the effect of sulfolipids on egg-laying behavior, these compounds were dissolved in DMSO and further diluted in M9 to obtain the concentrations indicated. Sertraline effects were analyzed by exposing animals to predator cue with or without sertraline (1 mM) for 30 min.

Single animal avoidance assay

Adult C. elegans were exposed to a small volume of a test compound (0.05 μl) near the head of the animal. Upon sensing a repellent, animals initiate a reversal followed by an omega bend. Positive responses to a test compound were scored only if they occurred within 4 s. Results are shown as the avoidance index, which is the ratio of number of positive responses to the total number of trials. Each animal is tested thrice and data is presented as average of the animals tested on at least 3 days (Figs 1–4 and Supplementary Figures S1–S6). For Data in Supplementary Table S5, animals were pre-treated with various drugs at 100 μM for 30 min and then their responses to predator cue were analyzed. Each assay was performed in triplicate (5 animals per condition) and on at least 3 different days (n < 45). For Data shown in Fig. 4, animals were pre-treated with 1 mM Sertraline (Sigma) or M9 control for 3 min before being tested for their responses in the avoidance assay. We also performed additional controls to test whether an animal’s response to the three repellent trials were independent. We exposed wild-type C. elegans to two dilutions of predator cue and SDS and found that in each of these experiments (n > 24) the responses were independent (data is presented in Supplementary Table S6), which allowed us to pool our data.

Two-tailed unpaired t-tests were used to compare different strains, genotypes, and conditions, and the Bonferroni correction was used to adjust for multiple comparisons. Avoidance indices of all strains tested and controls are shown in Supplementary Table S7.

Nematode strains and molecular biology

cDNAs corresponding to the full-length coding sequence for TAX-4 and OCR-2 were obtained from the Bargmann and Liedke labs, respectively. These constructs were sub-cloned under str-3, srh-11, sra-6, and sre-1 promoters to achieve ASI, ASJ, ASH, and ADL cell-specific expression^67,68. Transgenic animals were generated by injecting⁶⁹ appropriate genotypes with a mixture of the rescuing construct along with co-injection markers as described in Supplementary Table S8.

Nematode-derived modular metabolite (NDMM) nomenclature

Nematode metabolites are named using Small Molecule IDentifiers (“SMIDs”), representing searchable, gene-style identifiers that consist of four lower case non-italicized letters followed by a pound sign and a number. The SMID database (www.smid-db.org) is an electronic resource maintained by Profs. Frank C. Schroeder and Lukas Mueller at the Boyce Thompson Institute/Cornell University, in collaboration with Prof. Paul Sternberg at Caltech and WormBase (www.wormbase.org). This database catalogs newly identified nematode small molecules, assigns a unique four-letter SMID (a searchable gene-style identifier), and for each compound includes a list of other names and abbreviations used in the literature.

Instrumentation for chemical analyses

NMR spectra were recorded on a Bruker AVANCE III HD (800 MHz) and Varian INOVA-600 (600 MHz) instruments. UHPLC-high-resolution mass spectrometry (HRMS) was performed using a Thermo Scientific Dionex Ultimate 3000 UHPLC system equipped with an Agilent ZORBAX Eclipse XDB C18 column, connected to a Thermo Scientific Q Exactive HF Hybrid Quadrupole-Orbitrap mass spectrometer. HPLC-MS and –MS/MS was performed using an Agilent 1100 Series HPLC system equipped with a diode array detector and an Agilent Eclipse XDB-C18 column (4.6 × 250 mm, 5 μm particle diameter), connected to a Quattro II spectrometer (Micromass/Waters). Flash chromatography was performed using a Teledyne ISCO CombiFlash system. Preparative HPLC separation was performed using the Agilent 1100 Series HPLC system equipped with an Agilent Eclipse XDB-C18 or C8 column (9.4 × 250 mm, 5 μm particle diameter) coupled to a Teledyne ISCO Foxy 200 fraction collector.

HPLC-MS/MS analyses

A 0.1% acetic acid water–acetonitrile solvent gradient was used at a flow rate of 1 ml/min, starting with an acetonitrile content of 5% for 5 min and increasing to 100% over a period of 40 min. Exo-metabolome fractions were analyzed by HPLC-ESI-MS in negative and positive ion modes using a capillary voltage of 3.5 kV and a cone voltage of −35 V and +20 V, respectively. The analytical HPLC protocol mentioned above was translated to a semi-preparative Agilent Eclipse XDB-C18 or C8 column (9.4 × 250 mm, 5 µm particle diameter) with a flow rate of 3.6 ml/min and used for MS-assisted enrichment of desired metabolites, as well as for synthetic sample purification. Data acquisition and processing for the HPLC-MS was controlled by Waters MassLynx software.

UHPLC-HRMS analyses

A 0.1% formic acid water −0.1% formic acid acetonitrile solvent gradient was used at a flow rate of 0.500 ml/min, starting with an acetonitrile content of 5% for 1.9 min, increasing to 100% over a period of 11 min, and then returning to 5% for 2 min. Data acquisition and processing for the UHPLC-HRMS was controlled by Thermo Scientific Xcalibur software.

P. pacificus strains and culture conditions

RS2333 was used for exo-metabolome preparation. Mixed stage worms from a populated 10 cm NGM agar plate seeded with E. coli OP50 were washed into 25 ml of S-complete medium and fed OP50 on days 1, 3 and 5 for a 7-day culture period, while shaking at 22 °C, 220 r.p.m. The cultures were then centrifuged and worm pellets and supernatant frozen separately. For axenic cultures, P. pacificus (RS2333) gravid adults from ten 10 cm plates were washed with M9 buffer and treated with alkaline hypochlorite solution to isolate eggs. Isolated eggs were washed thoroughly with M9 buffer and allowed to hatch in fresh sterile M9 for 24 h. The M9 supernatant was prepared as described below.

Preparation of exo-metabolome extracts and fractionation

Protocol A

P. pacificus RS2333 liquid culture supernatant (3 l) was lyophilized to a fine powder and extracted with 750 ml of a 95:5 mixture of ethanol and water for 16 h (2 times). The exo-metabolome extract was then concentrated in vacuo, loaded onto 12 g of ethyl acetate-washed Celite and fractionated using a Teledyne ISCO CombiFlash system and a RediSep GOLD 30 g HP C18 reverse-phase column using a water-methanol solvent gradient, starting with 15 min of 98% water, followed by a linear increase of methanol content up to 100% at 60 min. The eluate was divided into 8 fractions, which were evaporated in vacuo and prepared for HPLC-MS/MS and NMR spectroscopic analyses. Subsequently a subset of fractions was further fractionated by HPLC. A 0.1% acetic acid water–acetonitrile solvent gradient was used at a flow rate of 3.6 ml/min, starting with an acetonitrile content of 5% for 5 min and increasing to 100% over a period of 40 min.

Protocol B

P. pacificus RS2333 liquid culture supernatant (3 l) was lyophilized to a fine powder and extracted with 3 l of a 95:5 mixture of ethanol and water for 16 h with stirring. The exo-metabolome extract was then concentrated in vacuo, loaded onto 8 g of ethyl acetate-washed Celite and fractionated using a Teledyne ISCO CombiFlash system over a RediSep and GOLD 100 g HP C18 reverse-phase column using a water (0.1% acetic acid)-acetonitrile solvent gradient, starting with 10 min of 100% water, followed by a linear increase of methanol content up to 100% at 92 min, which was maintained up to 100.7 min, thereby producing ~240 fractions, which were prepared for analysis by UHPLC-HRMS.

Chemical syntheses

General methods for chemical synthesis

Thin-layer chromatography (TLC) was used to monitor progress of reactions unless stated otherwise, using J. T. Baker Silica Gel IB2-F. Unless stated otherwise, reagents were purchased from Sigma-Aldrich and used without further purification. N,N-dimethylformamide (DMF) and dichloromethane (DCM) were dried over 4 Å molecular sieves prior to use. Tetrahydrofuran (THF) was distilled over lithium aluminum hydride prior to use. Optical rotations were measured on a Perkin Elmer 341 polarimeter. Synthetic schemes are shown in Figs 5, 6, 7.

Preparation of 2 (methyl 10-oxo-decanoate)

1 (2.5 mL, 13.5 mmol) was added to a solution of pyridinium chlorochromate (2.91 g, 13.51 mmol) and DCM (50 ml) at 0 °C. After stirring for 20 min, the reaction was quenched with ether (30 ml), filtered over Celite, and washed further with ether (20 ml). The filtrate was concentrated in vacuo. Flash column chromatography on silica using a gradient of 0–100% ethyl acetate in hexanes afforded 2 at 52% purity (48% dimer) (226.12 mg, 1.13 mmol, 8%). ¹H NMR (400 MHz, chloroform-d): δ (p.p.m.) 9.76 (t, J = 2.0 Hz, 1 H), 3.56 (s, 3 H), 2.42 (td, J = 7.4, 1.6 Hz, 2 H), 2.30 (t, 7.6 Hz, 2 H), 1.55–1.48 (m, 4 H), 1.25–1.19 (m, 10 H).

Preparation of 3 (methyl 10-hydroxy-13-methyltetradecanoate)

Ethylene dibromide (2 drops, 0.58 mmol) was added to Mg turnings (729 mg, 30 mmol) in THF (5 ml) under argon and the mixture was heated briefly until reflux. After cooling to room temperature, a solution of 3-methylbromobutane (1.2 ml, 10 mmol) in THF (10 ml) was added dropwise to the reaction over 10 min with stirring. The reaction was stirred at reflux for 1 h, affording isopentylmagnesium bromide. The isopentylmagnesium bromide solution (100 µl, 0.9 mmol) was then added to a solution of 2 (175 mg, 874 µmol) in THF (1 ml) at −25 °C. The reaction was allowed to return to room temperature while stirring, at which point the reaction was quenched with saturated NH₄Cl (10 ml) and extracted with hexanes (10 ml). Flash column chromatography on silica using a gradient of 0–100% ethyl acetate in hexanes afforded 3 at 70% purity (90.6 mg, 333 µmol, 38%). ¹H NMR (600 MHz, chloroform-d): δ (p.p.m.) 3.66 (s, 3 H), 3.55 (m, 1 H), 2.30 (t, 7.7 Hz, 2 H), 1.64–1.32 (m, 9 H), 1.20 (m, 1 H), 1.30 (m, 10 H), 0.90 (d, 6.6 Hz, 3 H), 0.89 (d, 6.6 Hz, 3 H).

Preparation of 4 (13-methyl-10-(sulfooxy)tetradecanoic acid) (sufac#1)

Sulfur trioxide-pyridine complex (120 mg, 0.75 mmol) was added to a solution of 3 (70 mg, 257 µmol) and pyridine (1 ml). After stirring for 5 min, the solution was concentrated in vacuo and dissolved in NaOH (aq) (4 ml, 2.75 M). The reaction was then neutralized with acetic acid/TFA to a pH of 4 and concentrated in vacuo over Celite. Flash column chromatography on silica using a gradient of 0–100% methanol in DCM afforded 4 (9.6 mg, 30 µmol, 12%). Spectroscopic data were in agreement with those for the natural product (see Supplementary Tables S2 and S3).

Preparation of 6 (14-((t-butyldiphenylsilyl)oxy)-2-methyltetradecan-5-ol)

TBDPSCl (30 µL, 0.11 mmol, ~3 eq) was added incrementally over the course of 24 h to a solution of 5 (10.2 mg, 40 µmol) and imidazole (3.51 mg, 0.13 mmol, ~3 eq) in THF (2 ml). The reaction was concentrated in vacuo. Flash column chromatography on silica using a gradient of 0–100% ethyl acetate in hexanes afforded 6 at 54% purity (6.04 mg, 12.96 µmol, 32.4%). ¹H NMR (600 MHz, methanol-d₄): δ (p.p.m.) 7.72 (m, 4 H), 7.36 (m, 6 H), 3.66 (t, 6.4, 2 H), 3.48 (m, 1 H), 1.57–1.25 (m, 20 H), 1.2 (m, 1 H), 1.03 (s, 9 H), 0.90 (d, 6.6 Hz, 3 H), 0.89 (d, 6.6 Hz, 3 H).

Preparation of 7 (14-((t-butyldiphenylsilyl)oxy)-2-methyltetradecan-5-yl hydrogen sulfate)

Sulfur trioxide-pyridine complex (excess) was added to a solution of 6 (6.04 mg, 12.96 µmol) in pyridine (1 ml) and stirred for 5 min at room temperature. The reaction was concentrated in vacuo. Flash column chromatography on silica using a gradient of 0–100% methanol in DCM afforded 7 at 20% purity (3.3 mg, 6 µmol, 46% yield). ¹H NMR (600 MHz, methanol-d₄): δ (p.p.m.) 7.72 (m, 4 H), 7.36 (m, 6 H), 4.31 (quin, 6.08 Hz, 1 H), 3.66 (t, 6.4 Hz, 2 H), 1.70–1.60 (m, 4 H), 1.6–1.5 (m, 3 H), 1.47–1.22 (m, 14 H), 1.03 (s, 9 H), 0.90 (d, 6.6 Hz, 3 H), 0.89 (d, 6.6 Hz, 3 H).

Preparation of 8 (14-hydroxy-2-methyltetradecan-5-yl hydrogen sulfate) (sufal#1)

Methanol (500 µl) with a catalytic amount of acetyl chloride (0.5 µl) was added to a solution of 7 (1.3 mg, 2.3 µmol). The solution was concentrated in vacuo. Flash column chromatography on silica using a gradient of 0–100% methanol in DCM afforded 8 (648 µg, 2.0 µmol, 87% yield). Spectroscopic data were in agreement with those for the natural product: ¹H NMR (600 MHz, methanol-d₄): δ (p.p.m.) 4.31 (quin, 6.1 Hz, 1 H), 3.54 (t, 6.8 Hz, 2 H), 1.7–1.58 (m, 5 H), 1.57–1.49 (m, 3 H), 1.47–1.23 (m, 13 H), 0.91 (d, 6.6 Hz, 3 H), 0.90 (d, 6.6 Hz, 3 H); ¹³C NMR (800 MHz, methanol-d₄): δ (p.p.m.) 62.76, 33.40, 26.64, 30.28, 30.xx, 30.xx, 30.xx, 25.75, 35.00, 80.85, 32.91, 34.87, 28.98, 22.68, 22.68

Preparation of 10 (methyl-9-oxo-nonanoate)

9 (600 µl, 2.8 mmol) was added to a solution of PCC (900 mg, 4.2 mmol) in dry DCM (50 ml) under argon at −15 °C, and the mixture was stirred for 45 min. Reaction progress was monitored by TLC. The reaction mixture was allowed to return to room temperature and was stirred for an additional 40 min. The mixture was then filtered over Celite, and the residue was washed with ether. The filtrate was concentrated in vacuo. Flash column chromatography on silica using a gradient of 0–100% ethyl acetate in hexanes afforded 10 at 70% purity (containing about 30% starting material) (305 mg, 1.64 mmol, 58% yield). ¹H NMR (600 MHz, chloroform-d): δ (p.p.m.) 9.76 (t, 1.79 Hz, 1 H), 3.66 (s, 3 H), 2.42 (td, 7.30, 1.77 Hz, 2 H), 2.30 (t, 7.60 Hz, 2 H), 1.62 (m, 4 H), 1.32 (m, 6 H).

Preparation of 11 (methyl 9-hydroxy-13-methyltetradecanoate)

Ethylene dibromide (6 drops, 1.74 mmol) were added to Mg turnings (500 mg, 20.6 mmol, ~2 eq) in THF (5 ml) under argon. And the mixture was heated to reflux for 20 min. After cooling to room temperature, 4-methylbromopentane (1.38 ml, 10 mmol) in THF (10 ml) was added quickly to the solution of activated Mg turnings. The mixture was then refluxed for 1 h. After cooling to room temperature, the Grignard reagent (1.36 ml, 0.9 mmol, 1 eq) was added to a solution of 10 (170 mg, 0.9 mmol) in THF (1 ml). The reaction was monitored by TLC using 1:4 acetone:hexanes. The reaction was quenched with saturated NH₄Cl (10 ml) and extracted with hexanes. Flash column chromatography on silica using a gradient of 0–100% ethyl acetate in hexanes afforded 11 at 60% purity (81.7 mg, 0.3 mmol, 32%). ¹H NMR (400 MHz, chloroform-d): δ (p.p.m.) 3.66 (s, 3 H), 3.58 (m, 1 H), 2.30 (t, 7.58 Hz, 2 H), 1.65–1.49 (m, 4 H), 1.47–1.36 (m, 4 H), 1.31 (m, 9 H), 1.16 (m, 1 H), 0.88 (d, 6.64 Hz, 3 H), 0.88 (d, 6.64 Hz, 3 H).

Preparation of 12 (13-methyltetradecane-1,9-diol)

11 (81.7 mg, 300 µmol) was added dropwise to a suspension of lithium aluminum hydride (102.3 mg, 2.69 mmol) in THF (20 ml) at 0 °C. The solution was warmed slowly to room temperature while stirring for 20 min. The reaction was quenched by the Fieser method as described above, filtered over Celite, and concentrated in vacuo. Flash column chromatography on silica using a gradient of 0–100% ethyl acetate in hexanes afforded 12 at 90% purity (57.0 mg, 234 µmol, 77.4%). ¹H NMR (400 MHz, methanol-d₄): δ (p.p.m.) 3.54 (t, 6.53 Hz, 2 H), 3.50 (m, 1 H), 1.61–1.13 (m, 21 H), 0.89 (d, 6.6 Hz, 3 H), 0.89 (d, 6.6 Hz, 3 H).

Preparation of 13 (14-((tert-butyldiphenylsilyl)oxy)-2-methyltetradecan-6-ol)

TBDPS-Cl (97.6 µl, 370 µmol) was added incrementally over the course of 3 h to a solution of 12 (57.0 mg, 234 µmol) in THF (1 ml) and DMF (0.5 ml). The reaction was concentrated in vacuo. Flash column chromatography on silica using a gradient of 0–100% ethyl acetate in hexanes afforded 13 at 30% purity (13.1 mg, 23.4 µmol, 10%). ¹H NMR (400 MHz, methanol-d₄): δ (p.p.m.) 7.67–7.64 (m, 4 H), 7.41–7.35 (m, 6 H), 3.66 (t, 6.1 Hz, 2 H), 3.50 (m, 1 H), 1.61–1.13 (m, 21 H), 1.03 (s, 9 H), 0.89 (d, 6.6 Hz, 3 H), 0.89 (d, 6.6 Hz, 3 H).

Preparation of 14 (14-hydroxy-2-methyltetradecan-6-yl hydrogen sulfate) (sufal#2)

Sulfur trioxide-pyridine complex (50 mg, excess) was added to a solution of 13 (20 µmol) in acetonitrile (2 ml). The solution was concentrated in vacuo. Flash column chromatography on silica using a gradient of 0–100% methanol in DCM afforded 14 (0.65 mg, 2 µmol, 10%). Spectroscopic data were in agreement with those for the natural product (see Supplementary Tables S1 and S3).

Data availability

Data presented in this manuscript is either shown in Supplementary Figures or Supplementary Tables or maintained with the authors. Sulfolipid structures have been deposited to the Metabolights database, Study Identifier MTBLS611 (https://www.ebi.ac.uk/metabolights/MTBLS611).

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Acknowledgements

We thank R. Hong, R. Sommer, C. Bargmann, S. Mitani, the National BioResource Project and Caenorhabditis Genetics Center (CGC) for strains; C. Bargmann and W. Liedke for constructs; and P. Sengupta, A. Chisholm, R. Hong, C. Bargmann, Y. Jin, D. O’Keefe, K. Quach, U. Magaram, H. Lau, L. Hale, and other members of the Chalasani Laboratory for helpful discussions and comments on the manuscript. This work was supported by grants from the W. M. Keck Foundation, NIH R01MH098001, R01MH113905 (S.H.C.), NIH R01AT008764 (F.C.S.), a Salk Alumni Fellowship (K.P.C) and NIH R01DC016058 (J.S.). A.K.P. holds a graduate research fellowship from the National Science Foundation.

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These authors contributed equally: Zheng Liu, Maro J. Kariya, Christopher D. Chute.

Authors and Affiliations

Molecular Neurobiology Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, 92037, USA
Zheng Liu, Amy K. Pribadi, Sarah G. Leinwand, Ada Tong, Kevin P. Curran & Sreekanth H. Chalasani
Boyce Thompson Institute and Department of Chemistry and Chemical Biology, Cornell University, Ithaca, NY, 14853, USA
Maro J. Kariya, Neelanjan Bose & Frank C. Schroeder
Department of Biology and Biotechnology, Worcester Polytechnic Institute, Worcester, MA, 01605, USA
Christopher D. Chute & Jagan Srinivasan
Division of Biological Sciences, University of California, San Diego, La Jolla, CA, 92093, USA
Amy K. Pribadi & Sreekanth H. Chalasani

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Zheng Liu
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Maro J. Kariya
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Christopher D. Chute
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Amy K. Pribadi
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Sarah G. Leinwand
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Ada Tong
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Sreekanth H. Chalasani
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Contributions

Z.L., M.J.K., C.D.C., A.K.P., S.G.L., A.T., K.P.C., and N.B. performed experiments, developed experimental methods and reagents. F.C.S., J.S., and S.H.C. designed and interpreted the experiments and wrote the paper.

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Correspondence to Sreekanth H. Chalasani.

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Liu, Z., Kariya, M.J., Chute, C.D. et al. Predator-secreted sulfolipids induce defensive responses in C. elegans. Nat Commun 9, 1128 (2018). https://doi.org/10.1038/s41467-018-03333-6

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Received: 02 June 2017
Accepted: 02 February 2018
Published: 19 March 2018
DOI: https://doi.org/10.1038/s41467-018-03333-6

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