Skip to main content

This is a preprint.

It has not yet been peer reviewed by a journal.

The National Library of Medicine is running a pilot to include preprints that result from research funded by NIH in PMC and PubMed.

bioRxiv logoLink to bioRxiv
[Preprint]. 2024 Mar 31:2024.03.28.587273. [Version 1] doi: 10.1101/2024.03.28.587273

Carbon dioxide shapes parasite-host interactions in a human-infective nematode

Navonil Banerjee 1, Spencer S Gang 1,, Michelle L Castelletto 1, Felicitas Ruiz 1,, Elissa A Hallem 1,2,3,*
PMCID: PMC10996684  PMID: 38585813

Abstract

Skin-penetrating nematodes infect nearly one billion people worldwide. The developmentally arrested infective larvae (iL3s) seek out hosts, invade hosts via skin penetration, and resume development inside the host in a process called activation. Activated infective larvae (iL3as) traverse the host body, ending up as parasitic adults in the small intestine. Skin-penetrating nematodes respond to many chemosensory cues, but how chemosensation contributes to host seeking, intra-host development, and intra-host navigation – three crucial steps of the parasite-host interaction – remains poorly understood. Here, we investigate the role of carbon dioxide (CO2) in promoting parasite-host interactions in the human-infective threadworm Strongyloides stercoralis. We show that S. stercoralis exhibits life-stage-specific preferences for CO2: iL3s are repelled, non-infective larvae and adults are neutral, and iL3as are attracted. CO2 repulsion in iL3s may prime them for host seeking by stimulating dispersal from host feces, while CO2 attraction in iL3as may direct worms toward high-CO2 areas of the body such as the lungs and intestine. We also identify sensory neurons that detect CO2; these neurons are depolarized by CO2 in iL3s and iL3as. In addition, we demonstrate that the receptor guanylate cyclase Ss-GCY-9 is expressed specifically in CO2-sensing neurons and is required for CO2-evoked behavior. Ss-GCY-9 also promotes activation, indicating that a single receptor can mediate both behavioral and physiological responses to CO2. Our results illuminate chemosensory mechanisms that shape the interaction between parasitic nematodes and their human hosts and may aid in the design of novel anthelmintics that target the CO2-sensing pathway.

Keywords: parasitic nematode, parasitic helminth, host seeking, carbon dioxide response, Strongyloides stercoralis, chemotaxis, activation, BAG neurons, GCY-9

Introduction

Skin-penetrating nematodes, including hookworms and the threadworm Strongyloides stercoralis, are gastrointestinal parasites that infect nearly a billion people worldwide and are agents of some of the world’s most neglected chronic diseases [14]. S. stercoralis alone infects approximately 610 million people worldwide [3]. Infections with these parasites can cause chronic gastrointestinal distress as well as stunted growth and long-term cognitive impairment in children [58]. Moreover, infections with S. stercoralis are often fatal in immunocompromised individuals [1, 5]. Current drugs used to treat these infections cannot prevent reinfection, resulting in high reinfection rates in endemic areas [1, 8]. Drug resistance due to mass drug administration is also a growing concern [911]. Despite the extensive morbidity caused by skin-penetrating nematodes, the basic biology of many parasitic nematodes remains incompletely understood, largely due to the challenges of working with these worms in laboratory settings. A better understanding of how skin-penetrating nematodes interact with human hosts may lead to the identification of novel drug targets that could be leveraged for nematode control.

The developmentally arrested infective third-stage larvae (iL3s) of these nematodes actively seek out hosts while in the soil environment, invade the host through skin penetration, resume development inside the host (a process called activation), and migrate within the host body to ultimately end up as parasitic adults in the host small intestine [1214]. Host seeking, activation, and intra-host navigation – three crucial steps of the parasite-host interaction – may occur in response to host-associated chemosensory cues, yet the mechanisms that drive these processes remain obscure [15, 16]. Carbon dioxide (CO2) is a critical host-associated chemosensory cue for many parasites and disease vectors, including skin-penetrating nematodes [17]. Skin-penetrating nematodes encounter high CO2 concentrations throughout their life cycle, both in fecal and soil microenvironments and inside the host body [1823]. Whether the high CO2 levels in their extra-host and intra-host microenvironments sculpt their interactions with human hosts remains poorly understood. In addition, the sensory mechanisms that drive CO2 responses in these nematodes are unexplored.

Here, we identify the neuronal and molecular mechanisms that drive CO2-evoked behavioral and physiological responses in S. stercoralis. We focus on S. stercoralis because it is unique among human-parasitic nematodes in its genetic tractability [15]. We show that S. stercoralis displays life-stage-specific behavioral responses to CO2 such that CO2 can be either attractive, repulsive, or neutral for S. stercoralis depending on the life stage. Notably, iL3s and activated iL3s (iL3as) display opposite responses to CO2: iL3s are repelled by CO2, while iL3as are attracted to CO2. We identify the sensory neurons (Ss-BAG neurons) that detect CO2 and promote CO2-evoked behavioral responses. The Ss-BAG neurons of iL3as display an increased CO2-evoked calcium response compared to iL3s, suggesting enhanced sensitivity to CO2 in an intra-host life stage. At the molecular level, we show that CO2-evoked behavioral responses are mediated by the receptor guanylate cyclase GCY-9, which is expressed specifically in the Ss-BAG neurons. Ss-GCY-9 also promotes activation of iL3s, suggesting that CO2 sensing via Ss-GCY-9 plays a crucial role in intra-host development. Drugs targeting the CO2-sensing pathway may thus offer a novel means of combating nematode infections. Our work illustrates how a single chemosensory cue can shape the complex interactions between parasitic nematodes and their human hosts.

Results

S. stercoralis exhibits life-stage-specific behavioral responses to CO2.

S. stercoralis has a complex life cycle consisting of both extra-host and intra-host life stages [12] (Figure 1A). Parasitic adults are found in the host small intestine, where they reproduce to generate post-parasitic young larvae (L1/L2s) that are expelled in feces. Some of these larvae develop directly into iL3s; the rest undergo a single free-living generation and develop into free-living adults. The free-living adults reproduce to generate progeny that develop exclusively into iL3s. The iL3s then disperse from feces into the soil in search of hosts. Once iL3s locate a host, they invade via skin penetration and activate inside the host. The iL3as then travel through the venous bloodstream to the lungs, where they are coughed up and swallowed, ultimately ending up as parasitic adults in the small intestine [12]. However, in some cases the worms navigate directly to the small intestine without traveling through the lungs [24].

Figure 1. S. stercoralis shows life-stage-specific behavioral responses to CO2.

Figure 1.

A. The life cycle of S. stercoralis [12]. The progeny of parasitic adults exit the host through feces as first-stage (L1) larvae. A subset of these larvae develops directly into developmentally arrested infective third-stage larvae (iL3s), while the remaining subset cycles through a single free-living generation. All progeny of the free-living adults develop into iL3s, which seek out and invade a new host by penetrating through the skin. Upon host entry, iL3s resume development and migrate inside the host, ultimately ending up as parasitic adults in the small intestine [12]. S. stercoralis encounters high CO2 levels in host feces, host lungs, and the host small intestine [19, 20, 22, 23]. B. Behavioral responses of distinct life stages of S. stercoralis to CO2 in a chemotaxis assay. See also Figure S1A. The post-parasitic L1/L2 larvae and free-living adults are neutral to CO2, whereas iL3s are repelled by CO2. Each data point represents a single chemotaxis assay. n = 14–16 trials per life stage. Solid lines in violin plots show medians and dotted lines show interquartile ranges. ****p<0.0001, ns = not significant, one-way ANOVA with Dunnett’s post-test. Responses are to 10% CO2. C-E. Behavioral responses of L1/L2 larvae (C), free-living adults (D), and iL3s (E) to CO2 across concentrations in a chemotaxis assay. Graphs show medians and interquartile ranges. n = 8–18 trials per life stage and condition. ****p<0.0001, ns = not significant, two-way ANOVA with Dunnett’s post-test. F. iL3s travel significantly greater distances away from a CO2 source relative to an air control source in a CO2 dispersal assay. Each data point represents the position of a single iL3. ****p<0.0001, Mann-Whitney test. n = 85–107 animals per condition. See also Figure S1B.

S. stercoralis encounters widely varying levels of CO2 throughout its life cycle that are often higher than atmospheric CO2 levels (~0.04%) [18] (Figure 1A). For example, the extra-host life stages of S. stercoralis experience increased CO2 levels emitted from aerobic respiration of fecal bacteria in host feces [19, 20]. CO2 levels in the soil also vary from ~0.04–13%, depending on soil depth [21]. Finally, the intra-host life stages, such as iL3as and parasitic adults, encounter elevated CO2 concentrations in the venous bloodstream, lungs, and small intestine; notably, CO2 levels can be as high as ~35% in the small intestine [22, 23] (Figure 1A). We therefore hypothesized that CO2 is a critical sensory cue for S. stercoralis during multiple steps of its life cycle.

We first examined the behavioral responses of the environmental life stages of S. stercoralis to CO2 using a chemotaxis assay [25] (Figure S1A). We found that post-parasitic young larvae (L1/L2s) and free-living adults are neutral to CO2 across concentrations (Figure 1BD). In contrast, iL3s are repelled by CO2 across concentrations (Figure 1B, E) [25]. What is the ecological relevance of these life-stage-specific responses to CO2? We hypothesized that the neutral responses of the post-parasitic L1/L2 larvae and free-living adults to CO2 may help them remain within host feces to feed and reproduce. In contrast, CO2 repulsion by iL3s may drive them to migrate off host feces and into the soil, where they can initiate host seeking. To test the hypothesis that CO2 acts as a dispersal cue for iL3s, we performed a CO2 dispersal assay in which we directly exposed populations of iL3s to a point source of high CO2 and then video-recorded their movement (Figure S1B). We found that iL3s traveled significantly greater distances from the CO2 source than from an air control (Figure 1F). These results suggest that CO2 avoidance may enable iL3s to migrate away from feces and into the soil to host seek.

The receptor guanylate cyclase GCY-9 mediates behavioral and physiological responses of S. stercoralis to CO2

The receptor guanylate cyclase (rGC) GCY-9 promotes behavioral responses to CO2 in the free-living nematode Caenorhabditis elegans and is thought to function directly as a receptor for molecular CO2 [26, 27]. We previously identified putative rGC gene homologs in the S. stercoralis genome [28]. Notably, we found an S. stercoralis putative rGC gene homolog (SSTP_0001252500) that encodes a protein with one-to-one homology to C. elegans GCY-9 [28]. We named this gene Ss-gcy-9. The Ss-gcy-9 gene encodes a protein with a domain structure resembling that of other rGC proteins – it includes an extracellular ligand-binding domain, a transmembrane domain, an intracellular kinase domain, and a guanylate cyclase domain (Figure S2AB). To better characterize the Ss-gcy-9 gene, we first analyzed its expression levels across life stages using the available life-stage-specific transcriptomic dataset for S. stercoralis [2931]. We found that this gene is expressed at low levels in post-parasitic L1/L2 larvae and free-living adults but is highly expressed in iL3s (Figure 2A). The upregulation of the putative CO2 receptor gene Ss-gcy-9 specifically in iL3s is consistent with our behavioral data showing that iL3s respond to CO2 (i.e., they are repelled by CO2), whereas L1/L2 larvae and free-living adults do not respond to CO2 (Figure 1BE). Taken together, these results are consistent with the possibility that GCY-9 mediates CO2 response and high gcy-9 expression permits robust CO2-evoked behaviors in iL3s.

Figure 2. The receptor guanylate cyclase Ss-GCY-9 promotes CO2-evoked behavioral responses and activation of S. stercoralis iL3s.

Figure 2.

A. The Ss-gcy-9 gene is transcriptionally upregulated in iL3s. Expression levels of the Ss-gcy-9 gene across life stages based on whole-animal RNA-seq data [2931]. Each data point represents a single biological replicate; lines indicate medians. Data were analyzed using the Strongyloides RNA-seq browser [29]. B. The Ss-gcy-9 gene is expressed in the paired BAG neurons in the head. Left, representative DIC/epifluorescence overlay image of an S. stercoralis iL3 showing the BAG sensory neurons (green). The head is within the white box; this boxed region is enlarged in the right panel. Right, enlarged epifluorescence image of the BAG neurons. Arrowheads indicate the cell bodies; the tip of the nose is to the right. In this image, the expression of the yellow cameleon gene strYC3.60 is driven by the Sr-gcy-9 promoter. C. Behavioral responses of wild-type iL3s in single-worm CO2 chemotaxis assays. In the presence of a CO2 gradient (“CO2”), only ~10% of the iL3s remain on the CO2 side of the plate at the end of the assay. In the absence of a CO2 gradient (“air”), ~50% of iL3s remain on the CO2 side of the plate at the end of the assay. ****p<0.0001, Fisher’s exact test. n = 69–84 iL3s per condition. D. Ss-gcy-9−/− iL3s are not repelled by CO2. Responses of no-Cas9-control and Ss-gcy-9−/− iL3s in a single-worm CO2 chemotaxis assay. *p<0.05, Fisher’s exact test. n = 24–36 iL3s per genotype. E. Ss-gcy-9 contributes to activation of iL3s. Percentage of no-Cas9-control and Ss-gcy-9−/− iL3s that activated in an in vitro activation assay. *p<0.05, Fisher’s exact test. n = 31–46 iL3s per genotype. Note that in C-E, no error bars are shown because worms were scored individually; graphs display the percentage of iL3s across all assays. See also Figure S2.

We then examined the spatial expression pattern of gcy-9. We designed a transcriptional reporter that expresses a fluorescent marker under the control of ~3 kb of the Strongyloides gcy-9 promoter. We found that gcy-9 is expressed specifically in a pair of neurons in the head region of S. stercoralis iL3s (Figure 2B). This expression pattern resembles that of the C. elegans gcy-9 gene, which shows specific expression in the paired BAG sensory neurons in the head [26]. Based on conserved positional anatomy with the C. elegans BAG neurons and expression of the Ss-gcy-9 ortholog, we named the GCY-9+ head neurons in S. stercoralis the Ss-BAG neurons.

To investigate whether Ss-gcy-9 is required for the behavioral response of S. stercoralis iL3s to CO2, we disrupted the gene using CRISPR/Cas9-mediated mutagenesis (Figure S2A, CD) [32]. We microinjected a mixture of three plasmids into the gonads of free-living adult females: 1) the expression vector for Cas9; 2) the plasmid that expresses the single guide RNA, including the target sequence specific for the Ss-gcy-9 gene; and 3) the plasmid that supplies the repair template for inactivation of Ss-gcy-9 by homology-directed repair. We then collected transgenic F1 iL3s and performed behavioral assays followed by post hoc genotyping to detect homozygous disruption of Ss-gcy-9. As a negative control, we collected F1 iL3s from free-living adult females microinjected with an injection mix lacking the Cas9-encoding plasmid (i.e., “no-Cas9 control” iL3s). To examine the effect of Ss-gcy-9 disruption on CO2-evoked behavior, we conducted single-worm CO2 chemotaxis assays in which we allowed the iL3 to navigate on a plate in a CO2 gradient for 10 min and then scored whether the iL3 was on the CO2 vs. air side of the plate (Figure S2E). In control assays, we allowed the iL3 to navigate on a plate for 10 min in the absence of a CO2 gradient but with air flowing.

In the absence of a CO2 gradient, ~50% of wild-type iL3s navigated to the left side of the plate and ~50% navigated to the right side, consistent with a random distribution across the plate. When individual wild-type iL3s were exposed to a CO2 gradient, only ~10% of the iL3s remained on the CO2 side of the plate, consistent with wild-type iL3s being repelled by CO2 (Figure 2C). Like wild-type iL3s, only ~16% of no-Cas9-control iL3s remained on the CO2 side of the plate. In contrast, when Ss-gcy-9−/− iL3s were exposed to the same CO2 gradient, ~45% of the iL3s remained on the CO2 side of the plate, consistent with an almost random distribution across the plate and an inability to detect the CO2 gradient (Figure 2D). These results demonstrate that Ss-gcy-9 is required for CO2 avoidance by S. stercoralis iL3s and suggest that GCY-9 plays a conserved role in CO2 detection in free-living and parasitic nematodes.

We then tested whether Ss-gcy-9 is required for activation, the process whereby the developmentally arrested iL3s resume development upon host entry [33, 34]. We previously showed that CO2 is required to promote activation of S. stercoralis iL3s in an in vitro activation assay [35]. To test whether Ss-gcy-9 is required for activation, we performed in vitro activation assays with single iL3s; in these assays, iL3s are exposed to host-like conditions and iL3as are identified based on the resumption of feeding that occurs during activation (Figure S2F) [35]. We found that significantly fewer Ss-gcy-9−/− iL3s activated, as compared with no-Cas9-control iL3s (Figure 2E). Specifically, ~70% of no-Cas9-control iL3s vs. ~42% of Ss-gcy-9−/− iL3s activated under similar conditions. These results suggest that Ss-gcy-9 contributes to intra-host development in S. stercoralis. Together, our results identify Ss-GCY-9 as a putative CO2 receptor that drives CO2-evoked behavioral and physiological responses in S. stercoralis.

The Ss-BAG sensory neurons detect CO2 and drive CO2-evoked responses

We next investigated the neural mechanisms that drive CO2-evoked responses in S. stercoralis. We focused on the Ss-BAG neurons, where Ss-gcy-9 is specifically expressed (Figure 2B). To test whether these neurons detect CO2, we generated transgenic iL3s expressing the genetically encoded calcium indicator yellow cameleon YC3.60 specifically in the Ss-BAG neurons (Figure 2B). We found that the Ss-BAG neurons of iL3s show robust excitatory calcium responses to CO2 (Figure 3AB). These responses were absent in iL3s exposed to an air control of equivalent duration (Figure S3AB). Thus, the Ss-BAG neurons are activated by CO2 in S. stercoralis iL3s.

Figure 3. The S. stercoralis BAG neurons are activated by CO2 and mediate CO2-evoked behavior.

Figure 3.

A. Ss-BAG neurons are activated by CO2. Graph shows the calcium response (mean ± SEM) of the Ss-BAG neurons to a 30 s pulse of 15% CO2. Calcium response was measured using the ratiometric calcium indicator yellow cameleon YC3.60. The shaded box indicates the timing and duration of the CO2 pulse. n = 14 iL3s. B. Heatmap of the Ss-BAG calcium responses in A. Each row shows the response of a single animal. Response magnitudes (% ΔR/R0) are color-coded according to the scale shown to the right; rows are ordered by hierarchical cluster analysis. Black bar shows the timing and duration of the CO2 pulse. C-D. Ss-BAG neurons are required for CO2 repulsion by iL3s. Graphs show the responses of wild-type and gcy-9p::TeTx (“BAG-silenced”) iL3s in a CO2 chemotaxis assay. BAG-silenced iL3s navigate closer to the CO2 source (C) and more frequently end up on the CO2 side of the plate (D) than wild-type iL3s. ****p<0.0001, Mann-Whitney test, n = 61–63 iL3s per genotype (C) and *p<0.05, Fisher’s exact test, n = 35–46 iL3s per genotype (D). Data shown in C-D were obtained from the same set of assays. Note that in D, no error bars are shown because the graph displays the percentage of iL3s across all assays. See also Figure S3.

To determine whether the Ss-BAG neurons are required to promote CO2-evoked behavioral responses in iL3s, we genetically silenced them by BAG-specific expression of the tetanus toxin light chain (TeTx), which inhibits neurotransmission by cleaving the synaptic vesicle fusion protein synaptobrevin (Figure S3CE) [36, 37]. We then compared the behavioral responses of wild-type and BAG-silenced iL3s in a CO2 chemotaxis assay. We found that wild-type iL3s ended up significantly farther from the CO2 source than BAG-silenced iL3s, suggesting that BAG-silenced iL3s are less repelled by CO2 than wild-type iL3s (Figure 3C). The final distribution of iL3s on the plate also differed for wild-type vs. BAG-silenced iL3s, with more BAG-silenced iL3s (~31%) ending up on the CO2 side of the plate than wild-type iL3s (~11%) (Figure 3D). These results suggest that the Ss-BAG neurons promote CO2 repulsion in S. stercoralis iL3s. Together, our results demonstrate a crucial role for the BAG sensory neurons in detecting CO2 and driving CO2-evoked behavior in S. stercoralis. In addition, our results demonstrate that TeTx can be used for neuronal silencing in S. stercoralis as an alternative to histamine-mediated silencing using ectopic expression of the histamine-gated chloride channel HisCl1 [28, 38]. TeTx-mediated neuronal silencing is a particularly helpful addition to the parasitic nematode molecular toolkit, as it allows for interrogation of neuron function in cases where delivery of exogenous histamine is not feasible.

S. stercoralis iL3as are attracted to CO2

Do the intra-host life stages of S. stercoralis also respond to CO2? To address this question, we focused on iL3as, the first life stage generated inside a host when iL3s exit developmental arrest and resume feeding following host invasion [12]. We activated iL3s in vitro (Figure S2F) and then compared the behavioral responses of iL3s and iL3as in CO2 chemotaxis assays performed at 37°C (to mimic host body temperature). In contrast to iL3s, which were repelled by CO2, iL3as were attracted to CO2 across concentrations (Figure 4A, S4A). To test whether the shift from CO2 repulsion in iL3s to CO2 attraction in iL3as is driven by the host-like conditions that iL3s experience during in vitro activation (i.e., exposure to 37°C and 5% CO2), we performed CO2 chemotaxis assays with iL3s that were subjected to the activation assay but did not activate (non-activated iL3s). We found that non-activated iL3s were repelled by CO2 (Figure S4B). Thus, S. stercoralis iL3s undergo a life-stage-dependent switch in CO2 preference when they activate.

Figure 4. iL3as are attracted to CO2.

Figure 4.

A. iL3s are repelled by CO2 and iL3as are attracted to CO2 in a CO2 chemotaxis assay. Assays were conducted at 37°C to mimic the temperature of the intra-host environment; the CO2 stimulus contained 40% CO2. Each data point represents a single chemotaxis assay. Solid lines in violin plots show medians and dotted lines show interquartile ranges. ****p<0.0001, Welch’s t-test. n = 12 trials per life stage. B-I. iL3s and iL3as respond differently to an acute CO2 pulse. Animals were exposed to 30 s of air, followed by 30 s of 2.5% CO2, followed by 30 s of air. B. Representative movement trajectories of an iL3 (left) and an iL3a (right) in response to a CO2 pulse. Asterisks indicate the position of the worm at the start of video-recording. The timing and duration of the CO2 pulse is indicated in orange. Enlarged region shows the movements of the iL3 during the CO2 pulse; regions characterized by CO2-evoked turns are circled. C. Mean smoothed instantaneous speeds (± SEM) of iL3s (left) and iL3as (right) in response to CO2. Shaded boxes represent the timing and duration of the CO2 pulse. Negative speed values indicate reverse movement. D-F. iL3s dramatically reduce their speed (D) and show an increase in reversals (E) and turns (F) in response to the CO2 pulse. ****p<0.0001, Mann-Whitney test (D-E) or Welch’s t-test (F). n = 22–25 animals per condition. G-I. iL3as reduce their speed (G) but do not show an increase in reversals (H) or turns (I) in response to CO2. **p<0.01, ns = not significant, Mann-Whitney test. n = 16 animals per condition. For D-I, each data point represents the response of a single animal to a 30 s pulse of either CO2 or air; separate animals were exposed to CO2 vs. air. Solid lines in violin plots show medians and dotted lines show interquartile ranges. See also Figure S4.

We then asked whether the opposite CO2 preferences of iL3s (repulsion) and iL3as (attraction) are reflected in CO2-evoked changes in their movement patterns in response to an acute increase in CO2 concentration. To address this question, we video-recorded the movement patterns of animals exposed to an acute CO2 pulse, tracked their movement trajectories, and analyzed specific movement parameters (Figure S4CD) [39]. We found that iL3s reduced their speed, initiated reverse movement, and increased their turn frequency in response to an acute CO2 pulse relative to an air control (Figure 4BF, S4EF), consistent with iL3s being repelled by CO2. In contrast, iL3as reduced their speed but did not initiate reversals and did not increase their turn frequency in response to CO2 (Figure 4BC and GI, S4E), consistent with iL3as being attracted to CO2. Thus, the opposing CO2 preferences of iL3s and iL3as are reflected in distinct CO2-evoked movement patterns.

The BAG neurons of iL3as show increased CO2-evoked calcium activity

To investigate the neural mechanisms of CO2 detection in iL3as, we generated transgenic iL3as expressing YC3.60 in the Ss-BAG neurons. We first confirmed that the gcy-9 promoter used to drive YC3.60 expression is expressed in the BAG neurons of iL3as (Figure S5A). We then monitored calcium responses in these neurons by exposing iL3as to CO2. We found that, like the BAG neurons of iL3s, the BAG neurons of iL3as show excitatory CO2-evoked calcium responses, suggesting that iL3as also detect CO2 via the BAG neurons (Figure 5AD). However, the amplitudes of the BAG neuron responses were significantly higher in iL3as than iL3s that were exposed to the same CO2 concentration (Figure 5AE). To determine whether the increased BAG calcium response in iL3as was driven by exposure of iL3s to the in vitro activation assay conditions (i.e., 37°C and 5% CO2), we compared CO2-evoked calcium responses in the BAG neurons of iL3as and non-activated iL3s (i.e., iL3s that experienced the same in vitro activation assay conditions but did not activate) (Figure S5B). We found that the BAG responses of iL3as were significantly higher in amplitude than those of non-activated iL3s (Figure S5CE). Thus, the enhanced CO2-evoked calcium activity in the BAG neurons is specific to iL3as. Moreover, the increased calcium responses of the BAG neurons in iL3as are associated with CO2 attraction, since both iL3s and non-activated iL3s are repelled by CO2. These results provide direct evidence that an intra-host life stage of a parasitic nematode can detect a host-associated sensory cue. In addition, the elevated CO2-evoked calcium response of the Ss-BAG neurons in iL3as relative to iL3s suggests that iL3as are more sensitive to CO2 than iL3s.

Figure 5. The BAG neurons of iL3as show increased CO2-evoked calcium responses.

Figure 5.

A-B. Calcium activity in the BAG neurons of iL3as (A) and iL3s (B) in response to CO2. Shaded boxes indicate the timing and duration of the CO2 pulse. Responses are to 15% CO2. Graphs show mean ± SEM. n = 19–20 animals per life stage. C-D. Heatmaps of the BAG calcium responses of iL3as (C) and iL3s (D) shown in A-B. Each row represents the response of an individual animal. Response magnitudes (% ΔR/R0) in the heatmaps are color-coded according to the scale shown to the right; responses are ordered by hierarchical cluster analysis. Black bars indicate the timing and duration of the CO2 pulse. E. Quantification of the maximum responses of the BAG neurons of iL3as vs. iL3s. Each data point represents the response of a single animal. Solid lines in violin plot show medians and dotted lines show interquartile ranges. **p<0.01, Welch’s t-test. See also Figure S5.

Discussion

Here, we show that S. stercoralis exhibits robust behavioral responses to CO2 that vary across life stages: iL3s are repelled by CO2, post-parasitic young larvae and free-living adults are neutral to CO2, and iL3as are attracted to CO2. Thus, these skin-penetrating nematodes show highly dynamic responses to the CO2 they encounter in distinct extra-host and intra-host microenvironments throughout their life cycle. Our results support a model in which CO2 repulsion by iL3s drives them away from feces and into the soil environment to host seek, while CO2 attraction by iL3as directs intra-host migration to high CO2 areas of the body such as the venous bloodstream, pulmonary alveoli, and small intestine. While CO2 is an attractant for many parasites and disease vectors – including insect-parasitic nematodes [17], plant-parasitic nematodes [40, 41], passively ingested parasitic nematodes [42], mosquitoes [43], kissing bugs [44], and ticks [45] – the lack of CO2 attraction exhibited by skin-penetrating iL3s is consistent with their route of host entry: nearly all host-emitted CO2 is exhaled through the mouth, while only very low levels of CO2 escape through the skin [4648]. However, repulsion from CO2 may serve a critical function in iL3s by increasing their chances of encountering a host or host-emitted attractants, such as heat or skin odorants, that direct navigation toward a host [15].

Like S. stercoralis, C. elegans exhibits CO2-evoked behaviors that vary across life stages. However, the homologous life stages of S. stercoralis and C. elegans exhibit very different behavioral preferences for CO2. In the case of C. elegans, well-fed adults are repelled by CO2 under ambient conditions [4953]. In contrast, S. stercoralis free-living adults are neutral to CO2 (Figure 1). In addition, C. elegans dauer larvae and S. stercoralis iL3s, which are homologous life stages [5456], show opposite responses to CO2; C. elegans dauers are attracted to CO2 [39, 57, 58], whereas S. stercoralis iL3s are repelled by CO2 (Figure 1) [25, 42]. C. elegans dauers form when environmental conditions are unfavorable, and CO2 attraction likely enables dauers to migrate toward potential food sources [39, 58, 59]. Thus, CO2 preferences of homologous life stages are not conserved across nematode species but instead reflect the ethological requirements of each species and life stage.

Previous studies of skin-penetrating nematode behavior have focused exclusively on life stages found in the environment, such as the iL3 and free-living adult stages [15, 35, 60, 61]. Although intra-host life stages have been hypothesized to use sensory cues to develop and navigate within the host body, whether these life stages exhibit sensory responses had not been tested. Here, we provide the first demonstration that an intra-host life stage exhibits a sensory-driven behavior: we show that iL3as are attracted to CO2 (Figure 4A). CO2 attraction may play an important role in directing intra-host navigation to the small intestine, where CO2 levels are high – either via other high-CO2 areas of the body such as the venous blood stream and lungs, or via direct migration to the small intestine [12, 24]. Moreover, tracking analysis revealed that iL3s and iL3as exhibit distinct movement patterns in response to an acute CO2 stimulus (Figure 4BI), providing insight into their behavioral responses when they encounter abrupt changes in CO2 levels in their distinct microenvironments. For instance, a decrease in the speed of movement of iL3as in response to an acute increase in CO2 levels likely retains them in high-CO2 areas of the body, allowing them to complete their parasitic life cycle and successfully establish an infection. Our results illustrate the necessity of probing the sensory behaviors of the intra-host life stages of endoparasites, which may not be predictable based on the behaviors of the extra-host life stages.

As in C. elegans, CO2 response in S. stercoralis is mediated by GCY-9, a putative CO2 receptor, acting in the BAG sensory neurons; thus, conserved cellular and molecular machinery operate in free-living and parasitic nematodes at the level of CO2 detection (Figures 23) [26, 51]. In addition, our results provide insight into the sensory mechanisms that trigger activation. We show that GCY-9 drives not only CO2-evoked behavior but also activation (Figure 2E). Thus, CO2-sensing via GCY-9 mediates both behavioral and physiological responses to CO2. The finding that a single receptor directs both CO2-evoked behavior and activation raises the possibility that small-molecule inhibitors of GCY-9 could function as novel classes of anthelmintics that prevent parasitic nematodes from establishing a patent infection.

At a functional level, the BAG neurons of S. stercoralis iL3s are depolarized by CO2 (Figure 3). Moreover, the BAG neurons of iL3as show increased CO2-evoked calcium activity relative to the BAG neurons of iL3s (Figure 5). The increased CO2 sensitivity of iL3as could facilitate their retention in high-CO2 areas of the host body and may contribute to tissue tropism (Figure 5). We previously showed that the BAG neurons of C. elegans dauers are depolarized by CO2 [39]; thus, our results provide the first demonstration that sensory neuron response properties are in some cases conserved across free-living and parasitic nematode species. The extent to which interneuron function is conserved across species remains to be determined. In C. elegans, we previously showed that the CO2-evoked activity patterns of interneurons vary depending on the life stage of the animal [39, 58]. Thus, it is possible that the CO2 microcircuit that operates downstream of BAG to mediate CO2 response in S. stercoralis differs in iL3s vs. iL3as. Differences in the levels of CO2-evoked calcium activity in the BAG neurons of iL3s vs. iL3as may also contribute to differential activation of the downstream CO2 microcircuit.

Taken together, our results demonstrate that CO2 plays a critical role in regulating the dynamic interactions between skin-penetrating nematodes and their hosts. Our results may inform studies of CO2 response in other skin-penetrating, human-infective nematodes such as hookworms, which are not yet amenable to genetic manipulation. The importance of CO2 sensing at multiple stages of the parasite’s life cycle highlights the promise of the CO2-detecting pathway as a novel target for nematode control.

Methods

RESOURCE AVAILABILITY

Data Availability

All data are available on GitHub at https://github.com/HallemLab/Banerjee-et-al-2024.

EXPERIMENTAL MODEL AND SUBJECT DETAILS

All protocols and procedures involving vertebrate animals were approved by the UCLA Office of Animal Research Oversight (Protocol ARC-2011–060), which adheres to the standards of the AAALAC and the Guide for the Care and Use of Laboratory Animals.

Maintenance of Strongyloides stercoralis

S. stercoralis UPD strain was maintained in Mongolian gerbils (Charles River Laboratories) through serial passage. For infecting gerbils, S. stercoralis iL3s were collected from fecal-charcoal cultures using a Baermann apparatus as previously described [25, 28, 35, 62]. In some cases, iL3s were suspended in ~0.5% low-gelling-temperature agarose and allowed to crawl out of the agarose to remove fecal debris. The iL3s that crawled out were washed 5 times with sterile 1X PBS solution. Gerbils were anaesthetized with isoflurane and inoculated with ~2000–2250 iL3s suspended in 200 μL sterile PBS via inguinal subcutaneous injection. Following a 14-day pre-patency period, gerbil feces infested with S. stercoralis were collected by placing gerbils on racks overnight with wet carboard lining the cage bottom to prevent desiccation. The fecal pellets, collected the next morning, were softened with water and mixed with autoclaved charcoal granules (bone char, Ebonex Corp., Cat# EBO.5BC.04) in an approximately 1:1 ratio. The fecal-charcoal mix was stored in 10-cm diameter x 20-mm height Petri dishes lined with filter paper moistened with dH2O. Gerbil feces infested with S. stercoralis were collected from days 14–45 post-infection.

Generation of transgenic or mutant S. stercoralis

Free-living S. stercoralis adult females were microinjected with plasmid constructs and transgenic F1 iL3s were obtained as previously described [63]. Microinjected females were incubated on fecal-charcoal plates with wild-type adult males at 23°C for at least 6 days prior to screening and performing assays. A full list of plasmids used in this study is provided in Table S1. The Ss-gcy-9 gene was disrupted using established CRISPR/Cas9 methods [28, 32, 62]; a detailed description of targeted mutagenesis of Ss-gcy-9 is provided below. For calcium imaging, transgenic F1 iL3s expressing strYC3.60 in the Ss-BAG neurons were generated by microinjecting the pASB55 construct at a concentration of 50 ng/μL. For silencing the Ss-BAG neurons, transgenic F1 iL3s expressing strTeTx in the Ss-BAG neurons were generated by microinjecting the pNB11 construct at a concentration of 50 ng/μL.

METHOD DETAILS

Molecular biology

The promoter sequence for the gcy-9 gene was extracted from Strongyloides ratti genomic DNA by PCR-amplifying ~3 kb upstream of the predicted first exon and a portion of the first exon using primers MLC168 and MLC169 (Table S2). The putative promoter sequence was cloned into the Strongyloides expression vector pPV254, which contains Ss-act-2p::GFP [64], in place of the Ss-act-2 promoter to generate the Sr-gcy-9p::GFP (pMLC29) construct. For expression of the calcium indicator yellow cameleon YC3.60 in S. stercoralis BAG neurons, the Sr-gcy-9 promoter sequence from pMLC29 was subcloned into pASB52, which contains the Strongyloides-codon-optimized YC3.60 sequence (strYC3.60) [28], to generate pASB55, the Sr-gcy-9p::strYC3.60 construct. For expression of tetanus toxin in the Ss-BAG neurons, we first generated a Strongyloides-codon-optimized TeTx sequence (strTeTx) using the Wild Worm Codon Adapter [65]. To generate pNB11, which contains Sr-gcy-9p::strTeTx::P2A::strmScarlet-I, the strTeTx::P2A::mScarlet sequence was synthesized by GenScript (Piscataway, NJ). The Sr-gcy-9 promoter was then subcloned from pMLC29 into the strTeTx::P2A::mScarlet construct to generate pNB11.

In vitro activation assays

In vitro activation assays with S. stercoralis iL3s were performed as previously described [3335]. For the population assays shown in Figures 4A and S4AB, iL3s were collected from a Baermann apparatus; washed 3 times in BU saline [66] in 15 mL conical tubes; and resuspended in 10 mL BU saline supplemented with 100 μL of 100x penicillin-streptomycin (10,000 u/mL, Gibco 15140–122), 100 μL of 100x amphotericin B (250 μg/mL, Gibco 15290–018), and 10 μL of 1000x tetracycline hydrochloride (5mg/mL, Sigma-Aldrich T7660–5G) dissolved in ddH2O. iL3s were axenized in the dark (tetracycline hydrochloride is light-sensitive) for 3 h at room temperature. iL3s were then pelleted by centrifugation and the supernatant was removed. iL3s were titrated to a concentration of ~50 iL3s per μL of BU saline and 2–4 μL of the pelleted iL3s (containing ~100–200 iL3s) was transferred to each well of a 96-well plate containing 110 μL DMEM (Corning 10–013-CV) supplemented with antibiotics (same final concentrations as above) that was preincubated at 37°C and 5% CO2 for 1–3 h. For population assays, iL3s were added to 12–36 wells containing DMEM. The 96-well plate containing iL3s was then incubated at 37°C with 5% CO2 for 21 h, after which 2.5 μL of fluorescein isothiocyanate dye (FITC, Acros Organics 119252500, 20 mg/mL in N,N-dimethylformamide) was added to each well. iL3s were incubated with FITC at 37°C and 5% CO2 for an additional 3 h. iL3s were then collected from all wells into a 15 mL conical tube filled with BU saline and washed 5 times with BU saline to remove excess FITC before transferring to chemotaxis assay plates.

For in vitro activation assays with single no-Cas9-control or Ss-gcy-9−/− iL3s, as shown in Figure 2E, a single iL3 was axenized in 110 μL of BU saline supplemented with antibiotics, as described above, in one well of a 96-well plate. Each iL3 was then transferred into a well containing DMEM (Corning 10–013-CV) and was incubated as described above. After incubation, each iL3 was washed to remove FITC by pipetting up and down in a watch glass with ~2 mL dH2O. The iL3 was then transferred in a single droplet to a 2% Nematode Growth Media (NGM) agar plate [67] and paralyzed with nicotine (Sigma N3876, 1% in dH2O). The iL3 was then scored for activation based on the presence (activated) or absence (non-activated) of FITC in the pharynx, using a Leica M165 FC fluorescence microscope. Individual iL3s were then retrieved from the plate for genomic DNA isolation and genotyping, as described below. All genotypes were tested in parallel and experiments were conducted over multiple days to account for day-to-day variability in assay conditions. iL3s were tested blind to genotype and were genotyped post hoc.

For calcium imaging, transgenic iL3s expressing yellow cameleon YC3.60 were activated using DMEM (Gibco 11995–065) in a watch-glass under the same conditions as above, except that the red fluorescent dye Alexa Fluor NHS Ester 594 (ThermoFisher A20004, 1 mg/mL in N,N-dimethylformamide) was used, instead of FITC, as an indicator for activation. 25 μL of 1 mg/mL Alexa dye was added to 1 mL media containing iL3s. iL3as and non-activated iL3s for calcium imaging were screened and sorted based on the presence or absence of Alexa Fluor in the pharynx, respectively, using a Leica M165 FC fluorescence microscope.

Preparation of animals for CO2 chemotaxis assays

For all life stages except iL3as, animals were isolated using a Baermann apparatus. Post-parasitic L1/L2 larvae and iL3s were collected in a 15 mL conical tube and free-living adults were collected in a 65 mm Syracuse watch glass. For iL3s and free-living adults, animals were washed twice with BU saline and then once with ddH2O in the conical tube (for iL3s) or the watch glass (for free-living adults) prior to transfer to assay plates. The post-parasitic L1/L2 larvae were washed 4 times with BU saline and then once with ddH2O in the conical tube prior to transfer to assay plates. S. stercoralis iL3s were collected from fecal-charcoal plates incubated at 23°C for 7–10 days using a Baermann apparatus set up for 30–90 min. After washing, iL3s were transferred in droplets onto assay plates. Young free-living adults (males and females) were collected from fecal-charcoal plates incubated at 25°C for 1 day using a Baermann apparatus set up for 1–2 h. After washing, adults were gently transferred onto a small rectangular piece of Whatman filter paper, which was used to transport them to assay plates. Post-parasitic L1/L2 larvae were isolated from fecal pellets collected the same day and not mixed with charcoal granules, using a Baermann apparatus set up for ~3 h. Following washing, the L1/L2 larvae were transferred in droplets onto assay plates. iL3as were collected from in vitro activation assays (see above), washed 5 times with BU saline and once with ddH2O, and then transferred in droplets onto assay plates. For data shown in Figures 2D and 3CD, the F1 iL3 progeny from microinjected adult females were collected using a Baermann apparatus (after at least 6 days post-microinjection), washed twice with BU saline, and kept in a small watch glass in BU saline. iL3s were then screened by placing ~100–200 iL3s on a 6 cm 2% NGM plate seeded with a thick lawn of Escherichia coli OP50; freely-moving transgenic iL3s were picked and transferred to a small watch glass with ~1 mL BU saline. Prior to assays, iL3s were washed once with ddH2O in a watch glass and transferred to assay plates in 2–3 μL droplets. No-Cas9-control iL3s and wild-type control iL3s were isolated and treated similarly; moreover, assays with mutant iL3s were performed on the same day as assays with no-Cas9-control iL3s (Figure 2D), and assays with transgenic iL3s were performed on the same day as assays with wild-type control iL3s (Figure 3CD). Assays were conducted over multiple days to account for day-to-day variability.

CO2 chemotaxis assays

CO2 chemotaxis assays were performed essentially as previously described [25, 42]. Animals were placed onto the center of a 9 cm 2% NGM agar plate at the start of the assay. Gases comprising a CO2 stimulus (the desired concentration of CO2, 21% O2, balance N2) and an air stimulus (21% O2, balance N2) were pumped through holes in opposite sides of the plate lid to establish a CO2 gradient. A syringe pump (PHD 2000, Harvard Apparatus) was used to deliver gas stimuli through ¼-inch flexible PVC tubing at flow rates of 1.5 mL/min (for iL3as) and 0.5 mL/min (for all other life stages). Assays ran for 30 min (for iL3as) or 1 h (for all other life stages). For iL3as, assays were conducted in a 37°C incubator; assay plates and gases (within syringes) were preincubated at 37°C for ~30 min prior to assays. For data shown in Figure 4A, assays with iL3s were performed under the same conditions as iL3as. The number of animals that navigated into a 20 mm diameter circle under each gas inlet was counted at the end of the assay. For data shown in Figures 1B and 1D, the total number of free-living adults that navigated to either scoring region were counted; males and females were not counted separately. For data shown in Fig. 4A and Fig. S4A, only worms with a green pharynx (due to ingestion of FITC) were counted. For data shown in Figure S4B, iL3as and non-activated iL3s (as identified by the presence or absence of FITC in the pharynx, respectively) were counted separately within each scoring region of the same assay plate using a Leica M165 FC fluorescence microscope. A chemotaxis index (CI) was then calculated as:

CI=#animalsintheCO2region-#animalsintheaircontrolregion#animalsintheCO2region+#animalsintheaircontrolregion

To account for directional bias due to vibration, assays were conducted in pairs, with the CO2 gradients in opposite orientations for the two plates. If the absolute value of the difference in CI between two assays in a pair was ≥0.9, both assays were discarded as behavior was assumed to be impacted by directional bias. Assays were also discarded if fewer than 7 animals moved to the combined scoring regions.

For data shown in Figures 2C and 3CD, 2–10 iL3s were placed onto the center of the assay plate. For data shown in Fig. 2D, a single iL3 was placed onto the center of the assay plate. Assays ran for 10 min. For data shown in Figures 2CD and 3D, iL3s that navigated to or remained within a 1-cm-diameter region down the center of the plate were excluded from analysis. For data shown in Figure 3CD, the responses of iL3s were video-recorded using a Leica S9D microscope (equipped with a 0.5x supplementary lens, a 300 mm M-series Focus drive, and a TL3000 Ergo transmitted light base) with an attached Basler Ace 20-megapixel acA5472–17μm camera (mounted on a 0.63x Leica adapter lens). Image sequences were captured at 0.5 frame/s using Pylon viewer software (Basler). Image sequences were processed to generate videos using Fiji [68]. For this experiment, the gas inlets were placed closer (3.5 cm apart) for video-recording. For Figure 3C, the final distance of each iL3 was calculated from a fixed point at the CO2 inlet, either at the end of the assay (last captured frame) or before the iL3 left the field of view using Fiji [68]. For Figures 2D and 3D, iL3s were tested blind to genotype and genotypes were revealed post hoc.

CO2 dispersal assays

S. stercoralis iL3s were isolated using a Baermann apparatus as described above, washed twice in BU saline, and stored in a watch glass containing 1 mL BU saline. CO2 dispersal assays were performed using 9 cm 2% NGM agar plates with a lid containing a single hole in the center for gas delivery. Prior to assays, plates were left in a fume hood with the lids off for 90 min to remove excess moisture from the agar surface, and then left on the bench with the lids on at room temperature for at least 30 min. ~20–30 iL3s were then transferred in a 3 μL droplet to the center of the assay plate. The plate was immediately covered with the lid fitted with flexible PVC tubing (1/16-inch ID x 1/8-inch OD) through which a gas mixture – either 10% CO2, 21% O2, balance N2 (CO2 stimulus) or 21% O2, balance N2 (air control) – was delivered at a flow rate of 2 mL/min using a syringe pump (PHD 2000, Harvard Apparatus). Video-recording started immediately after the droplet dried and animals started crawling on the agar surface. Animals were video-recorded and processed as described above, except that image sequences were captured at 2 frames/s. Animals were video-recorded for 5 min. The final distance of each iL3 from the gas source was calculated at the end of the assay (last captured frame) or just before the iL3 left the field of view using Fiji [68].

CRISPR/Cas9-mediated targeted mutagenesis of Ss-gcy-9

The Ss-gcy-9 gene, SSTP_0001252500, was identified as an ortholog of C. elegans gcy-9 using a BLAST search on WormBase ParaSite [28, 32, 62, 69, 70]. The CRISPR target site (AATCTTAAATCAAAAGGTGG) and guide RNA were selected using Geneious 9 software, as previously described [32, 62]. The single guide RNA (sgRNA) expression construct targeting Ss-gcy-9 (pSSG05) was synthesized by Genewiz (South Plainfield, New Jersey) to include 500 bp of the S. ratti U6 promoter and 277 bp of the S. ratti U6 3’ UTR flanking the Ss-gcy-9 sgRNA. For homology-directed repair at Ss-gcy-9, a repair construct (pSSG04) was made by subcloning 570 bp 5’ and 583 bp 3’ homology arms flanking the Ss-gcy-9 CRISPR site into the pAJ50 construct containing an Ss-act-2::mRFPmars cassette, which drives mRFPmars expression in the body wall muscle [64]. Cas9 endonuclease was expressed from the vector pPV540, where Strongyloides-codon-optimized Cas9 expression is driven by the S. ratti eef-1A promoter [32, 71]. The pPV540, pSSG04, and pSSG05 constructs were mixed and microinjected into free-living adult females as described above. F1 iL3 progeny were screened for potential Ss-gcy-9 disruptions as described below. To obtain Ss-gcy-9−/− iL3s, adults were microinjected with 80 ng/μL pSSG04, 80 ng/μL pSSG05 and 40 ng/μL pPV540 constructs. To obtain no-Cas9-control iL3s, microinjections were performed using the same recipe but with pPV540 omitted from the mix. A summary of plasmids is provided in Table S1.

The F1 iL3 progeny obtained from microinjected adult females were isolated using a Baermann apparatus. The iL3s were washed twice in BU saline and stored in BU saline in a watch glass. Transgenic iL3s were screened for mRFPmars expression by pipetting ~15–20 μL of iL3s in BU saline (~100–200 iL3s) onto a 6 cm 2% NGM plate seeded with Escherichia coli OP50. Freely moving iL3s were screened for mRFPmars expression using a Leica M165 FC fluorescent microscope; transgenic iL3s were picked and stored in a small watch glass with ~1 mL of BU saline prior to assays. Only iL3s with near-uniform mRFPmars expression along the full body wall were picked as they were more likely to have undergone homology-directed repair; iL3s with patchy or faint mRFPmars expression were not collected as they were more likely to only express mRFPmars from extrachromosomal arrays [32]. Single-worm chemotaxis assays were performed using transgenic iL3s as described above, followed by post-hoc genotyping to confirm integration of the repair template at the target region. Additional experimental details can be found in Table S3.

Single iL3 genotyping

Genomic DNA was extracted from single iL3s as previously described [28, 32, 62]. A single iL3 was collected in a PCR tube containing 5–6 μL of nematode lysis buffer (50 mM KCl, 10 mM Tris pH 8, 2.5 mM MgCl2, 0.45% Nonidet-P40, 0.45% Tween-20, 0.01% gelatin in dH2O) supplemented with ~0.12 μg/μL Proteinase-K and ~1.7% 2-mercaptoethanol. Tubes were kept at −80°C for at least 20 min, and then placed in a thermocycler for digestion: 65°C (2 h), 95°C (15 min), 10°C (hold). For long-term storage before digestion, iL3s were kept at −80°C and digestion was performed on the same day as PCR genotyping. To genotype iL3s, PCR reactions were performed with GoTaq G2 Flexi DNA Polymerase (Promega, Cat. #M7801) or Herculase II Fusion DNA Polymerase (Agilent, Cat. #600675) using the following thermocycler conditions: denature 95°C (2 min); PCR 95°C (20 s), 55°C (20 s), 72°C (1 min) × 35 cycles; final extension 72°C (5 min); 10°C (hold). The single iL3 digests were split evenly across the control, wild-type locus, and 5’ integration reactions, as shown in Figure S2D. Primer sets used for Ss-gcy-9 genotyping can be found in Table S2.

gcy-9 gene structures and GCY-9 protein domain annotations

The gene structure diagrams for C. elegans and S. stercoralis gcy-9 shown in Figure S2A were generated using Exon-Intron Graphic Maker (Version 4, www.wormweb.org). The predicted protein domains of C. elegans and S. stercoralis GCY-9 shown in Figure S2B were annotated using InterPro [72]. The schematics of the GCY-9 protein domains were generated using the MyDomains: Image Creator function of PROSITE (http://prosite.expasy.org/mydomains/).

Calcium imaging

Calcium imaging experiments were performed on animals expressing a Strongyloides-codon-optimized version of the genetically encoded calcium indicator gene yellow cameleon YC3.60 [28]. For data shown in Figures 3AB and S3AB, transgenic S. stercoralis iL3s expressing YC3.60 in the Ss-BAG neurons were screened in 1% nicotine as described above and stored in BU saline to recover overnight prior to imaging. For data shown in Figures 5B and D, transgenic iL3s moving on an E. coli OP50 lawn were collected and stored in BU saline overnight prior to imaging. For data shown in Figures 5A, 5C, and S5, iL3as and non-activated iL3s were generated as described above; moving animals of each category were screened (for the presence or absence of Alexa Fluor in the pharynx) on an unseeded 2% NGM agar plate and separately collected in watch glasses with BU saline.

To immobilize animals for imaging, a 2% agarose pad (made with ddH2O; <10 mm in diameter) was made on a 48 × 60 mm cover glass (Brain Research Laboratories, Cat # 4860–1D) and left to dry overnight. A single animal was transferred in a droplet of BU saline onto the dry agarose pad. The droplet was then absorbed using Whatman paper, leaving the animal behind. This resulted in attachment of the animal to the dry agarose pad, which restricted its movement during imaging. A perfusion chamber of 20 mm diameter and 2.5 mm height (Grace Bio-Labs CoverWell, Millipore Sigma, Cat. #GBL622301) with an adhesive base and two 1.5 mm ports (with attached tubing connectors, Grace Bio-Labs press fit tubing connectors, Millipore Sigma, Cat. #GBL460003) on diametrically opposite sides for gas inlet and outlet, was placed on the cover glass around the animal. Humidified gas was delivered through one port into the chamber through flexible PVC tubing at a flow rate of 30 mL/min (controlled by a flow meter, VWR model #GR60140AVB-VW) from two gas tanks fitted with valves controlled by a ValveBank TTL pulse generator. An air pulse (21% O2, balance N2) was delivered for 30 s, followed by a 30 s CO2 pulse (15% CO2, 21% O2, balance N2) and then another air pulse (21% O2, balance N2) for 60 s. For air controls, the CO2 pulse was replaced with an air pulse of equivalent duration (30 s). Air stimuli were delivered to separate sets of worms in control experiments. To check for a complete seal of the perfusion chamber on the cover glass, flexible PVC tubing connected to the gas outlet was immersed in dH2O in a watch glass; water bubbles in the watch glass ensured a seal. Imaging was performed using a Zeiss AxioObserver A1 inverted microscope equipped with a 40x EC Plan-NEOFLUAR objective lens, a Colibri 7 (Zeiss) for LED fluorescence illumination, a 78 HE ms (1) filter set (BP445/25 + BP510/15, DFT460+520; Zeiss) and a Hamamatsu ORCA-Flash4.0 camera for simultaneous acquisition of CFP and YFP images. Images were acquired in the YFP and CFP channels at 2 frames/s using Zeiss ZEN 3.4 (blue edition) software. The emission image was passed through a Hamamatsu W-View Gemini beam splitter with a CFP/YFP dual camera filter set.

Image processing and analyses were performed using Zen 3.4 (blue edition) software and Microsoft Excel. Images were analyzed by selecting two regions of interest (ROIs) - one ROI consisted of the soma of the Ss-BAG neuron and the other ROI consisted of a background region. The average intensity for YFP and CFP of the background region was subtracted from the average intensity for YFP and CFP of the soma. YFP values were adjusted to correct for CFP signal bleed-through, and the YFP/CFP ratio was then calculated. For each dataset, the different life stages or conditions were tested in parallel across multiple days. For quantification, the response period was defined as the time interval beginning with the onset of the CO2 pulse and ending 10 s after the offset of the CO2 pulse. The % ΔR/R0 (max) values were calculated during the response period. Graphs and heatmaps were generated using GraphPad Prism v9.1.0. Heatmaps were generated using the web-based tool Heatmapper [73]; responses within heatmaps were ordered by hierarchical clustering analysis, using Euclidean distance as a similarity measure.

Fluorescence microscopy

For microscopy, iL3s, iL3as, and non-activated iL3s were screened for YC3.60 expression, mScarlet-I expression, and/or for the presence of Alexa Fluor on a Leica M165 FC fluorescence microscope following nicotine paralysis [32]. Animals were collected in a watch glass with BU saline. Animals were then mounted in droplets on a slide with a 5% Noble agar (dissolved in BU saline) pad, exposed to 100 mM levamisole (dissolved in BU saline), and covered with a cover slip. Epifluorescence and DIC imaging were performed using an inverted Zeiss AxioObserver A2 microscope equipped with a Plan-APOCHROMAT 20X objective lens, a Colibri 7 (Zeiss) for LED fluorescence illumination, a 38 HE filter set for GFP (BP470/40, FT495, BP 525/50), a 63 HE filter set for mScarlet-I or Alexa Fluor (BP572/25, FT590, BP629/62), a Hamamatsu ORCA-Flash4.0 camera, and Zen 3.3 (blue edition) software (Zeiss). Images were captured as z-stacks and maximal intensity projections were constructed using Fiji [68].

Acute CO2 assays and behavioral tracking

Acute CO2 assays were performed as previously described [39, 74], with modifications. S. stercoralis iL3s were isolated using a Baermann apparatus, washed twice with BU saline in a 15 mL conical tube, and then kept in a watch glass with ~1 mL BU saline. iL3as were generated as described above; moving animals were screened for the presence of FITC in their pharynx on an unseeded 2% NGM agar plate and stored in a watch glass in ~1 mL BU saline. Both iL3s and iL3as were washed with ddH2O in a watch glass before transferring to assay plates.

Assays were performed on 14 cm unseeded 2% NGM plates at room temperature. Prior to assays, plates were left in a fume hood with the lids off for 1 h to remove excess moisture from the agar surface, and then on the bench (lids on) at room temperature for at least 30 min. 6–10 animals were transferred in water droplets onto assay plates, the droplets were allowed to dry, and the animals were then left to acclimate on the agar surface for ~1 min. A chamber with a 6 cm viewing arena, connected to ¼-inch flexible PVC tubing on opposite ends for a gas inlet and outlet (Figure S4C), was placed on top of the assay plate as previously described [39, 74]. Premixed gases were delivered into the chamber through the gas inlet at a flow rate of ~700 mL/min (controlled by a flow meter, VWR model #FR2A138VVT-VW) from gas tanks (Airgas) fitted with valves controlled by a ValveBank. Prior to video-recording, air (21% O2, balance N2) was delivered into the chamber for 1 min to acclimate animals to gas flow. Video-recording started immediately post-acclimation, when animals were exposed to a 30 s pulse of air (21% O2, balance N2), followed by a 30 s pulse of CO2 (2.5% CO2, 21% O2, balance N2) and then a 30 s air pulse (21% O2, balance N2) (Figure S4D). For air controls, the CO2 pulse was replaced with an air pulse of equivalent duration (30 s). To check for a complete seal of the chamber on the agar surface of the assay plate, the gas outlet was immersed in dH2O in a conical tube; water bubbles in the tube ensured a seal). Animals were videorecorded for a total of 90 s using a Leica S9D microscope (equipped with a 0.5x supplementary lens, a 300 mm M-series Focus drive, and a TL3000 Ergo transmitted light base) with an attached Basler Ace 20-megapixel acA5472–17μm camera (mounted on a 0.63x Leica adapter lens). Image sequences were captured at 10 frames/s using Pylon viewer software (Basler). Image sequences were processed to generate videos using Fiji [68].

Tracking and analyses of movement trajectories were performed using WormLab 2022.1.1 (MBF Bioscience LLC, Williston, VT USA). Videos were optimally thresholded to detect animals and their movement was automatically tracked. Movement parameters such as instantaneous speed, mean speed, and directionality (forward or reverse) were calculated from analyses of the tracks of individual animals. For calculating instantaneous speed, a moving average speed over 3 s was smoothed using locally weighted polynomial regression. Reverse movement was defined as movement of the head of the animal in the reverse direction at a minimum absolute speed of 30 μm/s that lasted for at least 1 s. The fraction of time spent reversing (Figure 4E, H) was calculated as the time spent reversing divided by the total time over which the animal was tracked. Turns (Figure 4F, I) were annotated manually and categorized as omega-turns, reversal-coupled omega turns, or delta turns using Fiji (Figure S4F) [7577]. A turn was categorized as an omega turn if the animal assumed an Ω-like shape, where the head and the tail touched each other, or if the closest points near the head and the tail made an angle of <30 degrees relative to the deepest part of the mid-body (Figure S4F) [75, 76]. Delta turns were assigned if the animal assumed a δ-like shape and executed a deeper turn relative to an omega-turn by overturning onto itself as described previously [77]. Data were graphed using GraphPad Prism v9.3.1.

QUANTIFICATION AND STATISTICAL ANALYSIS

Statistical tests were performed using GraphPad Prism v10.1.1. Specific statistical tests used are indicated in the figure legends. Normality was determined using a D’Agostino-Pearson omnibus normality test; if data were not normally distributed, non-parametric tests were used. Power analysis was performed with G*Power v3.1.9 [78]. Results of all statistical tests reported in the manuscript are shown in Dataset S1.

Supplementary Material

Supplement 1
media-1.pdf (3MB, pdf)

Acknowledgments

We thank James Lok (University of Pennsylvania) for plasmids, Astra Bryant for generating the Sr-gcy-9p::strYC3.60 construct, Manuel Zimmer (University of Vienna) for the O2/CO2 chambers used in Figures 4 and S4, and Breanna Walsh and Ruhi Patel for insightful comments on the manuscript. This work was funded by National Institutes of Health F32AI147617 to N.B., National Institutes of Health T32AI007323 (PI: P. Johnson) to N.B. and S.S.G., a UCLA Molecular Biology Institute Whitcome Fellowship to S.S.G., a UCLA Center for Academic & Research Excellence (CARE) Scholarship and National Institutes of Health R25GM055052 (PI: T. Hasson) to F.R., and National Institutes of Health R01DC021489 to E.A.H.

Footnotes

Declaration of Interests

The authors declare no competing interests.

References

  • 1.Buonfrate D., Bradbury R.S., Watts M.R., and Bisoffi Z. (2023). Human strongyloidiasis: complexities and pathways forward. Clin Microbiol Rev 36, e0003323. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Riaz M., Aslam N., Zainab R., Ur Rehman A., Rasool G., Irfan Ullan M., Daniyal M., and Akram M. (2020). Prevalence, risk factors, challenges, and the currently available diagnostic tools for the determination of helminths infections in human. Eur J Inflamm 18, 1–15. [Google Scholar]
  • 3.Buonfrate D., Bisanzio D., Giorli G., Odermatt P., Furst T., Greenaway C., French M., Reithinger R., Gobbi F., Montresor A., et al. (2020). The global prevalence of Strongyloides stercoralis infection. Pathogens 9, 468. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Fleitas P.E., Kehl S.D., Lopez W., Travacio M., Nieves E., Gil J.F., Cimino R.O., and Krolewiecki A.J. (2022). Mapping the global distribution of Strongyloides stercoralis and hookworms by ecological niche modeling. Parasit Vectors 15, 197. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Czeresnia J.M., and Weiss L.M. (2022). Strongyloides stercoralis. Lung 200, 141–148. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Grove D.I. (1996). Human strongyloidiasis. Adv Parasitol 38, 251–309. [DOI] [PubMed] [Google Scholar]
  • 7.Ahmed M. (2023). Intestinal Parasitic Infections in 2023. Gastroenterology Res 16, 127–140. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Loukas A., Maizels R.M., and Hotez P.J. (2021). The yin and yang of human soil-transmitted helminth infections. Int J Parasitol 51, 1243–1253. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Pilotte N., Manuel M., Walson J.L., and Ajjampur S.S.R. (2022). Community-wide mass drug administration for soil-transmitted helminths - risk of drug resistance and mitigation strategies. Front Trop Dis 3, 897155. [Google Scholar]
  • 10.Jia T.W., Melville S., Utzinger J., King C.H., and Zhou X.N. (2012). Soil-transmitted helminth reinfection after drug treatment: a systematic review and meta-analysis. PLoS Negl Trop Dis 6, e1621. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Fissiha W., and Kinde M.Z. (2021). Anthelmintic resistance and its mechanism: a review. Infect Drug Resist 14, 5403–5410. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Viney M.E., and Lok J.B. (2015). The biology of Strongyloides spp. In WormBook, www.wormbook.org, pp. 1–17. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Schad G.A. (1989). Morphology and life history of Strongyloides stercoralis. In Strongyloidiasis: A major roundworm infection of man, Grove D.I., ed. (London: Taylor & Francis; ), pp. 85–95. [Google Scholar]
  • 14.Hotez P.J., Brooker S., Bethony J.M., Bottazzi M.E., Loukas A., and Xiao S. (2004). Hookworm infection. N Engl J Med 351, 799–807. [DOI] [PubMed] [Google Scholar]
  • 15.Mendez P., Walsh B., and Hallem E.A. (2022). Using newly optimized genetic tools to probe Strongyloides sensory behaviors. Mol Biochem Parasitol 250, 111491. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Gang S.S., and Hallem E.A. (2016). Mechanisms of host seeking by parasitic nematodes. Mol Biochem Parasitol 208, 23–32. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Banerjee N., and Hallem E.A. (2020). The role of carbon dioxide in nematode behavior and physiology. Parasitology 147, 841–854. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Scott K. (2011). Out of thin air: sensory detection of oxygen and carbon dioxide. Neuron 69, 194–202. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Jiang T., Suarez F.L., Levitt M.D., Nelson S.E., and Ziegler E.E. (2001). Gas production by feces of infants. J Pediatr Gastroenterol Nutr 32, 534–541. [DOI] [PubMed] [Google Scholar]
  • 20.Haarstad K., Bergersen O., and Sorheim R. (2006). Occurrence of carbon monoxide during organic waste degradation. J Air Waste Manag Assoc 56, 575–580. [DOI] [PubMed] [Google Scholar]
  • 21.Amundson R.G., and Davidson E.A. (1990). Carbon dioxide and nitrogenous gases in the soil atmosphere. J Geochem Explor 38, 13–41. [Google Scholar]
  • 22.Rotbart A., Yao C.K., Ha N., Chrispa M.D., Muir J.G., Gibson P.R., Kalantar-Zadeh K., and Ou J.Z. (2017). Designing an in-vitro gas profiling system for human faecal samples. Sens Actuators B Chem 238, 754–764. [Google Scholar]
  • 23.Jensen B.B., and Jorgensen H. (1994). Effect of dietary fiber on microbial activity and microbial gas production in various regions of the gastrointestinal tract of pigs. App Environ Microbiol 60, 1897–1904. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Schad G.A., Aikens L.M., and Smith G. (1989). Strongyloides stercoralis: is there a canonical migratory route through the host? J Parasitol 75, 740–749. [PubMed] [Google Scholar]
  • 25.Castelletto M.L., Gang S.S., Okubo R.P., Tselikova A.A., Nolan T.J., Platzer E.G., Lok J.B., and Hallem E.A. (2014). Diverse host-seeking behaviors of skin-penetrating nematodes. PLoS Pathog 10, e1004305. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Hallem E.A., Spencer W.C., McWhirter R.D., Zeller G., Henz S.R., Ratsch G., Miller D.M., Horvitz H.R., Sternberg P.W., and Ringstad N. (2011). Receptor-type guanylate cyclase is required for carbon dioxide sensation by Caenorhabditis elegans. Proc Natl Acad Sci USA 108, 254–259. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Smith E.S., Martinez-Velazquez L., and Ringstad N. (2013). A chemoreceptor that detects molecular carbon dioxide. J Biol Chem 288, 37071–37081. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Bryant A.S., Ruiz F., Lee J., and Hallem E.A. (2022). The neural basis of heat seeking in a human-infective parasitic worm. Curr Biol 32, 2206–2221. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Bryant A.S., DeMarco S.F., and Hallem E.A. (2021). Strongyloides RNA-seq Browser: a web-based software platform for on-demand bioinformatics analyses of Strongyloides species. G3 11, jkab104. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Stoltzfus J.D., Minot S., Berriman M., Nolan T.J., and Lok J.B. (2012). RNAseq analysis of the parasitic nematode Strongyloides stercoralis reveals divergent regulation of canonical dauer pathways. PLoS Negl Trop Dis 6, e1854. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Gonzalez Akimori D., Dalessandro E.J., Nolan T.J., Stieha C.R., Lok J.B., and Stoltzfus J.D.C. (2021). Transcriptional profiles in Strongyloides stercoralis males reveal deviations from the Caenorhabditis sex determination model. Sci Rep 11, 8254. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Gang S.S., Castelletto M.L., Bryant A.S., Yang E., Mancuso N., Lopez J.B., Pellegrini M., and Hallem E.A. (2017). Targeted mutagenesis in a human-parasitic nematode. PLoS Pathog 13, e1006675. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Stoltzfus J.D., Massey H.C. Jr., Nolan T.J., Griffith S.D., and Lok J.B. (2012). Strongyloides stercoralis age-1: a potential regulator of infective larval development in a parasitic nematode. PLoS ONE 7, e38587. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Stoltzfus J.D., Bart S.M., and Lok J.B. (2014). cGMP and NHR signaling co-regulate expression of insulin-like peptides and developmental activation of infective larvae in Strongyloides stercoralis. PLoS Pathog 10, e1004235. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Gang S.S., Castelletto M.L., Yang E., Ruiz F., Brown T.M., Bryant A.S., Grant W.N., and Hallem E.A. (2020). Chemosensory mechanisms of host seeking and infectivity in skin-penetrating nematodes. Proc Natl Acad Sci USA 117, 17913–17923. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Schiavo G., Benfenati F., Poulain B., Rossetto O., Polverino de Laureto P., DasGupta B.R., and Montecucco C. (1992). Tetanus and botulinum-B neurotoxins block neurotransmitter release by proteolytic cleavage of synaptobrevin. Nature 359, 832–835. [DOI] [PubMed] [Google Scholar]
  • 37.Macosko E.Z., Pokala N., Feinberg E.H., Chalasani S.H., Butcher R.A., Clardy J., and Bargmann C.I. (2009). A hub-and-spoke circuit drives pheromone attraction and social behaviour in C. elegans. Nature 458, 1171–1175. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Pokala N., Liu Q., Gordus A., and Bargmann C.I. (2014). Inducible and titratable silencing of Caenorhabditis elegans neurons in vivo with histamine-gated chloride channels. Proc Natl Acad Sci USA 111, 2770–2775. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Banerjee N., Shih P.-Y., Rojas Palato E.J., Sternberg P.W., and Hallem E.A. (2023). Differential processing of a chemosensory cue across life stages sharing the same valence state in Caenorhabditis elegans. Proc Natl Acad Sci USA 120, e2218023120. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Johnson R.N., and Viglierchio D.R. (1961). The accumulation of plant parasitic nematode larvae around carbon dioxide and oxygen. Proc Helminthol Soc Wash 28, 171–174. [Google Scholar]
  • 41.Rasmann S., Ali J.G., Helder J., and van der Putten W.H. (2012). Ecology and evolution of soil nematode chemotaxis. J Chem Ecol 38, 615–628. [DOI] [PubMed] [Google Scholar]
  • 42.Ruiz F., Castelletto M.L., Gang S.S., and Hallem E.A. (2017). Experience-dependent olfactory behaviors of the parasitic nematode Heligmosomoides polygyrus. PLoS Pathog 13, e1006709. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Ellwanger J.H., Cardoso J.D.C., and Chies J.A.B. (2021). Variability in human attractiveness to mosquitoes. Curr Res Parasitol Vector Borne Dis 1, 100058. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Barrozo R.B., and Lazzari C.R. (2004). The response of the blood-sucking bug Triatoma infestans to carbon dioxide and other host odours. Chem Senses 29, 319–329. [DOI] [PubMed] [Google Scholar]
  • 45.Zhang M.Z., Wang J., Du L.F., He P.J., and Jia N. (2024). The impact of volatiles on tick-host interaction and vector competence. Curr Opin Insect Sci 62, 101162. [DOI] [PubMed] [Google Scholar]
  • 46.Alkalay I., Suetsugu S., Constantine H., and Stein M. (1971). Carbon dioxide elimination across human skin. Am J Physiol 220, 1434–1436. [DOI] [PubMed] [Google Scholar]
  • 47.Buszewski B., Kesy M., Ligor T., and Amann A. (2007). Human exhaled air analytics: biomarkers of diseases. Biomed Chromatogr 21, 553–566. [DOI] [PubMed] [Google Scholar]
  • 48.Byrnes C.A., Dinarevic S., Shinebourne E.A., Barnes P.J., and Bush A. (1997). Exhaled nitric oxide measurements in normal and asthmatic children. Pediatr Pulmonol 24, 312–318. [DOI] [PubMed] [Google Scholar]
  • 49.Bretscher A.J., Busch K.E., and de Bono M. (2008). A carbon dioxide avoidance behavior is integrated with responses to ambient oxygen and food in Caenorhabditis elegans. Proc Natl Acad Sci USA 105, 8044–8049. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Bretscher A.J., Kodama-Namba E., Busch K.E., Murphy R.J., Soltesz Z., Laurent P., and de Bono M. (2011). Temperature, oxygen, and salt-sensing neurons in C. elegans are carbon dioxide sensors that control avoidance behavior. Neuron 69, 1099–1113. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Hallem E.A., and Sternberg P.W. (2008). Acute carbon dioxide avoidance in Caenorhabditis elegans. Proc Natl Acad Sci USA 105, 8038–8043. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Guillermin M.L., Carrillo M.A., and Hallem E.A. (2017). A single set of interneurons drives opposite behaviors in C. elegans. Curr Biol 27, 2630–2639 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Rengarajan S., Yankura K.A., Guillermin M.L., Fung W., and Hallem E.A. (2019). Feeding state sculpts a circuit for sensory valence in Caenorhabditis elegans. Proc Natl Acad Sci USA 116, 1776–1781. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Crook M. (2014). The dauer hypothesis and the evolution of parasitism: 20 years on and still going strong. Int J Parasitol 44, 1–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Hotez P., Hawdon J., and Schad G.A. (1993). Hookworm larval infectivity, arrest and amphiparatenesis: the Caenorhabditis elegans Daf-c paradigm. Parasitol Today 9, 23–26. [DOI] [PubMed] [Google Scholar]
  • 56.Viney M.E., Thompson F.J., and Crook M. (2005). TGF-b and the evolution of nematode parasitism. Int J Parasitol 35, 1473–1475. [DOI] [PubMed] [Google Scholar]
  • 57.Hallem E.A., Dillman A.R., Hong A.V., Zhang Y., Yano J.M., DeMarco S.F., and Sternberg P.W. (2011). A sensory code for host seeking in parasitic nematodes. Curr Biol 21, 377–383. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Banerjee N., Rojas Palato E.J., Shih P.Y., Sternberg P.W., and Hallem E.A. (2024). Distinct neurogenetic mechanisms establish the same chemosensory valence state at different life stages in Caenorhabditis elegans. G3 14, jkad271. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Hu P.J. (2007). Dauer. In WormBook, www.wormbook.org. pp. 1–19. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Chavez I.N., Brown T.M., Assie A., Bryant A.S., Samuel B.S., and Hallem E.A. (2021). Skin-penetrating nematodes exhibit life-stage-specific interactions with host-associated and environmental bacteria. BMC Biol 19, 221. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Bryant A.S., and Hallem E.A. (2018). Terror in the dirt: sensory determinants of host seeking in soil-transmitted mammalian-parasitic nematodes. Int J Parasitol Drugs Drug Resist 8, 496–510. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Bryant A.S., Ruiz F., Gang S.S., Castelletto M.L., Lopez J.B., and Hallem E.A. (2018). A critical role for thermosensation in host seeking by skin-penetrating nematodes. Curr Biol 28, 2338–2347. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63.Castelletto M.L., and Hallem E.A. (2021). Generating transgenics and knockouts in Strongyloides species by microinjection. J Vis Exp 176, e63023. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Junio A.B., Li X., Massey H.C. Jr., Nolan T.J., Todd Lamitina S., Sundaram M.V., and Lok J.B. (2008). Strongyloides stercoralis: cell- and tissue-specific transgene expression and co-transformation with vector constructs incorporating a common multifunctional 3’ UTR. Exp Parasitol 118, 253–265. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Bryant A.S., and Hallem E.A. (2021). The Wild Worm Codon Adapter: a web tool for automated codon adaptation of transgenes for expression in non-Caenorhabditis nematodes. G3 11, jkab146,. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66.Hawdon J.M., and Schad G.A. (1991). Long-term storage of hookworm infective larvae in buffered saline solution maintains larval responsiveness to host signals. J Helm Soc Wash 58, 140–142. [Google Scholar]
  • 67.Stiernagle T. (2006). Maintenance of C. elegans. In WormBook, www.wormbook.org. pp. 1–11. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68.Schindelin J., Arganda-Carreras I., Frise E., Kaynig V., Longair M., Pietzsch T., Preibisch S., Rueden C., Saalfeld S., Schmid B., et al. (2012). Fiji: an open-source platform for biological-image analysis. Nat Methods 9, 676–682. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69.Bolt B.J., Rodgers F.H., Shafie M., Kersey P.J., Berriman M., and Howe K.L. (2018). Using WormBase ParaSite: an integrated platform for exploring helminth genomic data. Methods Mol Biol 1757, 471–491. [DOI] [PubMed] [Google Scholar]
  • 70.Howe K.L., Bolt B.J., Shafie M., Kersey P., and Berriman M. (2017). WormBase ParaSite – a comprehensive resource for helminth genomics. Mol Biochem Parasitol 215, 2–10. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71.Shao H., Li X., Nolan T.J., Massey H.C. Jr., Pearce E.J., and Lok J.B. (2012). Transposon-mediated chromosomal integration of transgenes in the parasitic nematode Strongyloides ratti and establishment of stable transgenic lines. PLoS Pathog 8, e1002871. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 72.Paysan-Lafosse T., Blum M., Chuguransky S., Grego T., Pinto B.L., Salazar G.A., Bileschi M.L., Bork P., Bridge A., Colwell L., et al. (2023). InterPro in 2022. Nucleic Acids Res 51, D418–D427. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 73.Babicki S., Arndt D., Marcu A., Liang Y.J., Grant J.R., Maciejewski A., and Wishart D.S. (2016). Heatmapper: web-enabled heat mapping for all. Nucleic Acids Res 44, W147–W153. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 74.Rojo Romanos T., Ng L., and Pocock R. (2018). Behavioral assays to study oxygen and carbon dioxide sensing in Caenorhabditis elegans. Bio Protoc 8, e2679. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75.Gray J.M., Hill J.J., and Bargmann C.I. (2005). A circuit for navigation in Caenorhabditis elegans. Proc Natl Acad Sci USA 102, 3184–3191. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76.Donnelly J.L., Clark C.M., Leifer A.M., Pirri J.K., Haburcak M., Francis M.M., Samuel A.D., and Alkema M.J. (2013). Monoaminergic orchestration of motor programs in a complex C. elegans behavior. PLoS Biol 11, e1001529. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 77.Broekmans O.D., Rodgers J.B., Ryu W.S., and Stephens G.J. (2016). Resolving coiled shapes reveals new reorientation behaviors in C. elegans. eLife 5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 78.Faul F., Erdfelder E., Lang A.G., and Buchner A. (2007). G*Power 3: a flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behav Res Methods 39, 175–191. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplement 1
media-1.pdf (3MB, pdf)

Data Availability Statement

All data are available on GitHub at https://github.com/HallemLab/Banerjee-et-al-2024.


Articles from bioRxiv are provided here courtesy of Cold Spring Harbor Laboratory Preprints

RESOURCES