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. 2025 Jul 1;23(7):e3003178. doi: 10.1371/journal.pbio.3003178

Cuticular collagens mediate cross-kingdom predator–prey interactions between trapping fungi and nematodes

Han-Wen Chang 1,2, Hung-Che Lin 2, Ching-Ting Yang 2,3, Rebecca J Tay 2, Dao-Ming Chang 4, Yi-Chung Tung 4, Yen-Ping Hsueh 1,2,3,*
Editor: Aaron P Mitchell5
PMCID: PMC12237271  PMID: 40591707

Abstract

Adhesive interactions, mediated by specific molecular and structural mechanisms, are fundamental to host–pathogen and predator–prey relationships, driving evolutionary dynamics and ecological interactions. Here, we investigate the cellular and molecular basis of adhesion between the nematode Caenorhabditis elegans and its natural predator, the nematode-trapping fungus Arthrobotrys oligospora, which employs specialized adhesive nets to capture its prey. Using forward genetic screens, we identified C. elegans mutants that escape fungal traps and revealed the nuclear hormone receptor NHR-66 as a key regulator of fungal-nematode adhesion. Loss-of-function mutations in nhr-66 conferred resistance to fungal trapping through the downregulation of a large subset of cuticular collagen genes. Restoring collagen gene expression in nhr-66 mutants abolished the escape phenotype, highlighting the essential role of these structural proteins in fungal-nematode adhesion. Furthermore, sequence analysis of natural C. elegans populations revealed no obvious loss-of-function variants in nhr-66, suggesting selective pressures exist that balance adhesion-mediated predation risk with physiological robustness. We observed that loss of nhr-66 function resulted in a trade-off of increased hypersensitivity to hypoosmotic stress and cuticular fragility. These findings underscore the pivotal role of structural proteins in shaping ecological interactions and the evolutionary arms race between predator and prey.


How do nematodes avoid fungal predators? This study reveals that a nuclear hormone receptor alters the nematode cuticle, allowing them to evade fungal adhesive traps. This comes at a cost, however, as the escaping nematodes are more delicate and sensitive to osmotic stress.

Introduction

Predator–prey relationships are strong drivers of evolution, with the emergence of adaptations and counter-measures in both predators and their prey. This dynamic process frequently influences the expansion of gene families critical for interactions between species. For example, most plant and animal species possess a highly diverse array of antimicrobial peptides (AMPs), which play a key role in defending against bacterial and fungal infections [1]. The evolution of resistance to specific AMPs by pathogens, in turn, promotes the diversification and expansion of AMP gene families in animals [2]. This ongoing evolutionary arms race highlights the interconnectedness of life and the perpetual nature of adaptation.

The cross-kingdom predator–prey interactions between carnivorous fungi and nematodes, the most abundant animals on Earth, provide a fascinating example of coevolution in soil ecosystems [3]. Among these carnivorous fungi are nematode-trapping fungi (NTFs), a diverse group of over 300 soil-dwelling species that develop specialized hyphal structures like adhesive nets and constricting rings to trap prey under nutrient scarcity [4]. Our previous ecological studies in Taiwan revealed that NTFs and nematodes cohabit in over 60% of soil samples analyzed [5], underscoring the ubiquity of this predator–prey relationship. While predator-prey interactions play a vital role in driving ecological and evolutionary processes across the tree of life, the availability of a genetically tractable model system to study this fundamental question at the molecular and cellular level remains limited. As a result, the model nematode Caenorhabditis elegans and its natural predator, the NTF Arthrobotrys oligospora, provides a unique opportunity to genetically dissect the molecular details of predator–prey dynamics from both sides.

Adhesive interactions are physical and biochemical processes facilitated by specific molecules or structures that enable cells or organisms to bind to each other or to surfaces. These interactions are not only essential for the development and physiology of an organism but also play a pivotal role in interspecific relationships, such as host–pathogen and predator–prey interactions. Within the Orbiliaceae family, many NTFs have evolved specialized adhesive traps to capture nematodes [6]. A. oligospora, the most extensively studied species in this family, serves as a model for exploring the biology of carnivorous fungi and provides a powerful system for investigating the molecular mechanisms underlying cross-kingdom microbe-metazoan adhesion [7]. By studying how a predatory fungus traps a nematode prey, we can uncover parallels between predatory strategies and pathogenic mechanisms, shedding light on the pivotal role of adhesion in shaping ecological and evolutionary processes.

The adhesive nets of A. oligospora, crucial for binding to the nematode cuticle, consist of extensive layers of extracellular polymers, as demonstrated by transmission electron microscopy (TEM) and chemical characterization [8]. The reduced trapping efficiency of A. oligospora traps treated with pronase indicates that proteins are critical for nematode adhesion [8]. In agreement with this hypothesis, we have recently identified a gene family that is highly expressed in trap cells. These Trap Enriched Protein (TEP) genes are expanded in the genomes of NTFs specifically, suggesting they may be adaptive for nematode trapping [9]. While these findings highlight the importance of protein-mediated interactions, evidence suggests that carbohydrate binding may also be involved in the molecular mechanism by which A. oligospora targets nematodes [10]. Despite these findings, the precise molecular and genetic pathways mediating glycan binding in this adhesion process remain poorly understood.

Here, we aim to explore fungal-nematode adhesion with a focus from the side of nematodes. Using unbiased forward genetic screens, we isolated C. elegans mutants capable of escaping A. oligospora traps, and identified the transcription factor NHR-66 as a pivotal regulator of fungal-nematode adhesion. Transcriptomic and gene ontology (GO) analyses in the nhr-66 mutant revealed significant downregulation in cuticular collagen gene family expression. Restoration of the expression of multiple collagen genes in the nhr-66 mutant background rendered nematodes once again susceptible to A. oligospora trapping, highlighting the critical role of collagens in adhesion. Furthermore, we discovered that nhr-66 exhibits low genetic variation, similar to that of essential genes in wild isolates of C. elegans, implying that loss of nhr-66 function may lead to severe trade-offs that compromise nematode fitness. Indeed, we observed that nhr-66 mutants are hypersensitive to hypoosmotic stress, likely due to a weakened cuticle structure that may be attributed to the loss of collagen expression. Together, these results suggest predatory fungi target abundant and diverse collagen proteins on the cuticle to ensure successful prey capture, which may have driven the expansion of the collagen gene family in nematode genomes.

Results

Forward genetics reveals nhr-66 mutation confers nematode resistance to A. oligospora traps

To investigate the mechanism underlying the trapping interaction between A. oligospora and C. elegans, we performed a forward genetic screen to identify mutants capable of escaping fungal traps. We utilized ethyl methanesulfonate (EMS) or N-Nitroso-N-ethylurea (ENU) to induce mutations in wild-type C. elegans (N2). Subsequently, we screened for F2 progeny able to traverse through A. oligospora traps towards a food patch (OP50 bacteria) positioned opposite the fungal colony (Fig 1A). We selected five highly resistant mutants (S1 Video) for detailed investigation. These mutants demonstrated a striking ability to move freely across fungal traps, in stark contrast to wild-type C. elegans, which were immediately captured upon contact with A. oligospora traps. To quantify trap resistance in our five mutants, we measured their escape rate by exposing them to fungal traps and calculating the percentage of uncaptured nematodes relative to the total tested after 10 min. As expected, 100% of wild-type C. elegans were caught immediately by the traps and could not escape (0% escape rate). In contrast, the five screen mutants all showed a similarly high escape rate of approximately 40% (Fig 1B).

Fig 1. Mutations in nhr-66 promote Caenorhabditis elegans escape from the predatory fungus A. oligospora.

Fig 1

(A) Schematic of the forward genetic screen for trap-resistant C. elegans. (B) Quantification of nematode escaping rates in strains obtained from forward genetic screens (yph406-408, 410, and 412), CRISPR STOP-IN (yph413), and fosmid-rescued strains (yphXXX alleles correspond to nhr-66 variants shown in Fig 1D) (mean ± SEM; n is shown below the x-axis; two-tailed unpaired Student t test) (See S1 Video for more). (C) SNP mapping of two of the screen mutants. Trap-resistant mutants were crossed with Hawaiian strain CB4856, and the F2 progeny from each mutant line which exhibited trap resistance were analyzed for eight SNP markers on each chromosome. Regions containing only N2 SNPs (indicated by the red rectangle) were assumed to contain the causative mutation (See S1 Data for more). (D) Genetic mapping and whole-genome sequencing of trap-resistant mutants reveal causative mutations (marked by asterisks) in the gene nhr-66. Boxes and lines represent exons and introns, respectively. The data underlying this figure can be found in S1 Data.

To pinpoint the causative mutations, we employed single-nucleotide polymorphism (SNP)-based genetic mapping. Briefly, we crossed mutants to Hawaiian (CB4856) and genotyped the F2 progeny that escaped fungal trapping for strain-specific SNPs. SNP mapping revealed a strong correlation between the resistance phenotype and chromosome IV (Fig 1C; see S1 Data for details) [11]. We then performed whole-genome sequencing (WGS) of the five mapped F2 lines, with each derived from a unique P0 isolated during initial screening. WGS analysis identified six independent mutations, including loss-of-function alleles, that affected all isoforms of the gene nhr-66 (Fig 1D). To confirm the role of nhr-66 in fungal-nematode interactions, we added a STOP-IN cassette [12] at the nhr-66 locus (yph413) in the N2 background using CRISPR/Cas9. We then phenotyped the STOP-IN strain for resistance to A. oligospora traps. Consistent with the nhr-66 mutants from our screen (yph406-408, 410, and 412), the CRISPR-generated nhr-66 STOP-IN mutant displayed resistance to fungal trapping (Fig 1B). Moreover, rescue using a fosmid vector containing the full-length nhr-66 genomic locus successfully reversed the resistance phenotype in both the genetic screen mutants and the STOP-IN mutant (Fig 1B), strongly supporting a critical role for nhr-66 in nematode trapping by A. oligospora.

NHR-66 mediates fungal adhesion through expression in hypodermal and seam cells

Previous studies have identified NHR-66 as a transcription factor expressed in the hypodermis and seam cells [13]. To confirm nhr-66 expression, we created a GFP reporter line using 2 kb of gDNA sequence upstream of isoform a of nhr-66 as the promoter. The Pnhr-66::GFP reporter indeed revealed that nhr-66 is prominently expressed in the hypodermis and seam cells, which are the key tissues for cuticle synthesis [14]. Additionally, nhr-66 expression was detected in the intestine, head muscle cells, and head and tail neurons. This broad expression pattern suggests that NHR-66 may have multiple roles in different tissues (S1 Fig).

To determine the site of action for NHR-66 in mediating fungal adhesive interactions, we reintroduced wild-type nhr-66 cDNA driven by tissue-specific promoters into the nhr-66(yph413) mutant strain and assessed the ability of these rescued lines to escape A. oligospora traps (Fig 2A). Promoters that target nhr-66 expression in various tissues were used: unc-31 for pan-neurons, ges-1 for intestine, myo-3 for body wall muscle, nhr-73 for seam cells, and rol-6 for hypodermis [1517]. We found that expressing nhr-66 in neurons, intestine, or body wall muscle did not restore the adhesive interaction to A. oligospora (Fig 2A). However, expression of nhr-66 in seam cells and hypodermal tissue successfully rendered the nematodes susceptible to fungal trapping, indicating that these tissues are the site of action for NHR-66. Given that nhr-66 expression in the hypodermal and seam cells is essential for mediating adhesive interactions to A. oligospora traps, we hypothesized that NHR-66 likely plays a key role in regulating the physical and chemical properties of the cuticle in C. elegans.

Fig 2. NHR-66 promotes adhesion through cuticle-secreting tissues without altering cuticle structure.

Fig 2

(A) Quantification of nematode escaping rates in wild-type Caenorhabditis elegans (N2), the nhr-66(yph413) mutant, and tissue-specific rescue lines expressing nhr-66 cDNA under various promoters (mean ± SEM; n is shown below the x-axis; two-tailed unpaired Student t test). (B, C) Atomic Force Microscopy (AFM) topography images (top), quantification and their line profiles (bottom) of adult cuticle annuli, furrows (B) and alae (C) for both wildtype and nhr-66(yph413) mutant. Data are presented as Mean ± SEM (n is shown below the x-axis; two-tailed unpaired Student t test). (D) TEM images and quantification of cuticle (top) and strut width (bottom) from wild-type (N2) and nhr-66(yph413) animals (scale bar: white, 0.2 µm; black, 2 µm). Data are presented as Mean ± SEM (n is shown below the x-axis; two-tailed unpaired Student t test). The data underlying this figure can be found in S2 Data.

Mutation in nhr-66 did not alter the macroscopic structure of the cuticle in C. elegans

We next asked whether loss of nhr-66 alters the macroscopic structure of the cuticle and thereby affects the adhesive interaction with fungal traps. To test this, we employed atomic force microscopy (AFM) to examine the cuticle structure of wild-type (N2) and nhr-66(-) animals. The nematode cuticle features two primary surface structures: annuli and alae [18]. Upon AFM examination, no significant differences were detected in these surface structures between the wildtype and nhr-66 mutant (Fig 2B and 2C). Additionally, we investigated whether cuticle thickness is affected by loss of nhr-66. Using TEM to analyze cross-sections of wildtype and nhr-66 mutants, we measured the total cuticle thickness and the thickness of distinct cuticle layers, including the basal, medial, and cortical sections. The results showed no significant differences in cuticle thickness between N2 and nhr-66(yph413) mutants, although strut width was slightly narrower in the nhr-66 mutant (Fig 2D). Overall, these findings revealed that the macroscopic structure of the cuticle surface in nhr-66 mutants is similar to wildtype.

NHR-66 is a master regulator that regulates the expression of the collagen gene family in C. elegans

Since NHR-66 is a predicted nuclear hormone receptor (NHR), we performed RNA-seq analysis on both wildtype and nhr-66 STOP-IN mutants to uncover the potential targets regulated by NHR-66. Principal component analysis (PCA) showed distinct clustering of the N2 and nhr-66 mutant replicates, indicating substantial transcriptional differences between the two genotypes (Fig 3A). In the nhr-66 mutant, expression of more than 1,200 genes was significantly downregulated (>4-fold), whereas a comparatively small number of genes (168) were upregulated compared to wildtype, suggesting that NHR-66 mainly functions as a transcriptional activator (Fig 3B; see S3 Data for details). To further investigate the genes regulated by NHR-66, we performed GO enrichment analysis of the genes that were down-regulated in nhr-66(-), which revealed a significant enrichment of genes involved in ‘structural constituent of cuticle’ (GO:0042302) and ‘collagen trimer’ (GO:0005581), suggesting that NHR-66 plays a critical role in regulating the expression of cuticular collagens (Fig 3C; see S3 Data for details) [19,20]. Indeed, our analyses revealed that over 40% (73/173) of genes in the cuticular collagen gene family in the C. elegans genome were downregulated in the nhr-66 mutant. These results suggest that collagen proteins might be critical for fungal-nematode adhesive interactions. To test this hypothesis, we examined the adhesion to A. oligospora of 20 collagen mutants, such as col-36 and dpy-7, and found that none of them showed resistance to trapping by A. oligospora (Fig 3D). These results suggest functional redundancy of these collagen proteins in mediating the adhesive interactions between the nematode cuticle and fungal traps.

Fig 3. NHR-66 regulates the expression of the collagen gene family in Caenorhabditis elegans.

Fig 3

(A) Principal component analysis of transcript expression from wildtype (N2) and nhr-66(yph413) mutants across three biological replicates. (B) Heatmap comparison of differentially expressed genes (≥ 4-fold change) between N2 and nhr-66(yph413) mutants. The numerical labels beneath the heatmap indicate the number of differentially expressed genes between N2 and the nhr-66(yph413) mutant. (See S3 Data for more). (C) Gene ontology enrichment analysis results for genes down-regulated more than 4-fold in the nhr-66(yph413) mutant. (See S3 Data for more). (D) Quantification of nematode escaping rates in wild-type C. elegans (N2), the nhr-66(yph413) mutant, and collagen mutants (mean ± SEM, n is shown below the x-axis, two-tailed unpaired Student t test). (E) Protein structure of collagens used in rescue experiments. Collagens are classified into clusters based on interruptions in their main collagenous domain (blue boxes), with numbers in the boxes indicating the count of Gly-X-Y repeats. All cuticular collagens typically contain cysteine-rich regions (yellow), an N-terminal helical Gly-X-Y repeat (red box), a transmembrane region (pink) or predicted signal peptides (green). (F) Quantification of nematode escaping rates in collagen-rescued nhr-66(yph413) mutants (mean ± SEM, n is shown below the x-axis, two-tailed unpaired Student t test). (G) Fluorescence images and quantification of Pcol-14::GFP reporter expression in N2, the nhr-66(yph413) mutant, and rescued strains (scale bar, 100 µm). Data are presented as the Mean ± SEM (n is shown below the x-axis, two-tailed unpaired Student t test). The data underlying this figure can be found in S3 Data.

To determine whether collagen proteins are sufficient to complement the fungal-nematode adhesion defects in nhr-66 mutants, we chose five collagen genes that were strongly down-regulated in nhr-66(-), share high sequence homology across the Caenorhabditis genus, and represent three of the five major cuticle clusters [21] (Cluster B to D) (Fig 3E) for overexpression using the hypodermis-specific rol-6 promoter. We found that the overexpression of any single collagen, regardless of cluster, in the nhr-66 mutant significantly decreased its nematode escaping rate. As more collagens were rescued in the nhr-66 mutant, escape rates further declined, with overexpression of all five nearly eliminating resistance (Fig 3F). These findings suggest that collagens are critical and sufficient for the adhesive interaction between C. elegans and A. oligospora.

To confirm that NHR-66 regulates the expression of collagens, we chose one collagen downregulated in nhr-66 RNA-seq, col-14, and placed 2 kb of its promoter upstream of GFP. We then introduced the Pcol-14::GFP reporter into N2, the nhr-66 STOP-IN mutant, and the nhr-66 STOP-IN mutant rescued with hypodermal-driven (rol-6 promoter) nhr-66. Fluorescence imaging showed reduced GFP expression in the nhr-66 mutant compared to N2, and the GFP expression was restored in the nhr-66 mutant rescued with the hypodermal promoter (Fig 3G). These results suggest that NHR-66 regulates the expression of cuticular collagen genes.

NHR-66 is required for fungal-nematode adhesion across multiple species of nematode-trapping fungi

To determine whether NHR-66 plays an evolutionarily conserved role in nematode-fungal dynamics, we investigated whether nhr-66 is resistant to trapping by various species of NTFs.

We tested 10 additional Arthrobotrys species, all employing adhesive traps, for their ability to capture wild-type C. elegans and nhr-66 mutants (Fig 4A). We found that compared to wild-type animals, nhr-66 mutants showed higher escaping rates across all species of NTFs, suggesting that collagen-mediated adhesive interaction with fungal trap is evolutionarily conserved. Additionally, we observed that nhr-66 is less resistant to A. musiformis, suggesting that additional or alternative mechanisms of fungal-nematode adhesion likely have evolved in certain species of predatory fungi (Fig 4A).

Fig 4. The nhr-66 mutant is resistant to multiple species of nematode-trapping fungi of the genus Arthrobotrys.

Fig 4

(A) Nematode escape rates of nhr-66 mutants exposed to various species of nematode-trapping fungi (NTF phylogeny shown on the left). The phylogeny is based on single-copy orthologs. Data are presented as Mean ± SEM (n is shown on the left the y-axis, two-tailed unpaired Student t test, P-values comparing WT and nhr-66 mutant against each NTF strain are < 0.001 with the exact p-values provided in the source data). The data underlying this figure can be found in S4 Data.

Natural variants of nhr-66 in C. elegans wild isolates maintain normal fungal-nematode adhesion

Given that loss of nhr-66 allows nematodes to escape fungal trapping under laboratory conditions, we next explored whether mutations in nhr-66 might exist in wild C. elegans populations that might allow nematodes to escape predation. We examined the genomes of C. elegans wild isolates available from the Caenorhabditis Natural Diversity Resource (CaeNDR) [22] database, and identified only ~9% (138/1524) of wild isolates contain missense variants in nhr-66. Additionally, we identified a single in-frame deletion/start-loss mutation that affects only isoforms b—which is not expressed in the hypodermis—and j [23]. These findings suggest that nhr-66 is highly conserved and subject to strong purifying selection in natural populations of C. elegans (Fig 5A; see S1 Table for details). We chose seven strains encoding one or more missense variants in distinct domains of the NHR-66 protein to test their resistance to A. oligospora, and found that none of these variants conferred trap resistance (Fig 5B). These findings suggest that in C. elegans, while loss of nhr-66 function may provide a significant survival advantage against NTF predation, it is likely accompanied by substantial fitness trade-offs.

Fig 5. nhr-66 is critical for the fitness and survival of Caenorhabditis elegans in natural environments.

Fig 5

(A) A pie chart showing the number of wild isolates bearing nhr-66 missense variants out of the total number of isolates characterized on CaeNDR. (See S4 Table for more). (B) Nematode escaping rates in wildtype, nhr-66(yph413) mutants, and nhr-66 natural variants (mean ± SEM, n is shown below the x-axis; two-tailed unpaired Student t test). (C) Percentage of nematodes that exploded under hypoosmotic stress (mean ± SEM, n is shown in the figure; two-tailed unpaired Student t test). Right, images of nematodes exposure to deionized water for 15 min (scale bar, 500 μm) (See S2 Video for more). (D) Occupancy rates of wildtype and the nhr-66(yph413) mutant in a soil competition assay at 20 °C (n is shown below the x-axis, two-tailed unpaired Student t test). The data underlying this figure can be found in S5 Data.

Loss of NHR-66 enhances susceptibility to hypoosmotic stress

What could be the trade-offs associated with nhr-66 loss-of-function? We observed that nhr-66 mutants developed similarly to wildtype, reaching L4 and adulthood at 56 and 72 hours, respectively, after egg laying at 20 °C (S2 Fig). Furthermore, we observed no significant differences in dauer formation between N2 and nhr-66 STOP-IN mutants when treated with extracted dauer pheromones [24] (S3 Fig). Next, we examined the brood sizes in nhr-66 mutants and found them to be larger than those of N2 (S4 Fig), suggesting that loss of nhr-66 may actually confer a reproductive advantage and fertility does not represent a trade-off. Further analysis of mating behavior [25,26] revealed higher mating efficiency in nhr-66 STOP-IN mutants males compared to N2 (S5 Fig).

Given that nhr-66 mutants exhibit lower collagen expression than N2, we hypothesized that nhr-66 loss may compromise cuticle integrity. To test this, we performed hypoosmotic stress assays by immersing adult nematodes in deionized water and measuring the percentage that ruptured. Mutants in nhr-66 showed a significantly higher explosion rate than N2, with ~60% of the animals exploded in water in 10 min, indicating a weakened cuticle barrier (Fig 5C and S2 Video). This result demonstrates that nhr-66 mutations are unlikely to be maintained in C. elegans populations in natural environments. To evaluate the impact of nhr-66 mutations on survival in natural environments, we conducted a competition assay between wild-type and nhr-66 mutants. Equal numbers of GFP-labeled wild-type and nhr-66 nematodes were introduced into soil, and populations were harvested after 1–3 weeks. Wild-type nematodes outcompeted nhr-66 mutants, indicating reduced fitness of nhr-66 mutants in a soil environment (Fig 5D). Collectively, these findings suggest that loss of nhr-66 reduces capture by NTFs at the cost of compromised cuticle integrity and survival, highlighting a trade-off in natural conditions.

Discussion

Predator–prey interactions drive fundamental ecological processes, including population dynamics, species distributions, and evolution. These interactions often involve specialized adaptations in both predator and prey. One critical predator adaptation is the ability to adhere to prey during the capture process, particularly in non-motile predators such as carnivorous plants and fungi. NTF utilize specialized adhesive structures—such as nets, knobs, and columns—to ensnare nematodes, making adhesion essential for their predatory efficiency and, consequently, growth and survival. Despite its significance, the molecular mechanisms behind NTF-nematode adhesion remain unclear. In this study, we employed forward genetic screens to investigate C. elegans factors important for fungal adhesion. Our study uncovered NHR-66 as a key regulator of nematode-fungal adhesive interactions, with nhr-66 mutants exhibiting pronounced resistance to fungal traps. Our findings reveal, for the first time, a genetic basis for nematode resistance to fungal predation, shedding light on the interplay between nematode cuticle composition and fungal adhesion mechanisms.

Our forward genetic screen isolated five strong mutants. Interestingly, SNP mapping and WGS showed that the resistance phenotype we observed in each of these five strains could be explained by mutations in the single gene nhr-66, suggesting that our screen had reached or was close to saturation. Furthermore, the fact that nhr-66 is a transcription factor, also indicated that only when a master regulator was mutated, a strong phenotype can then be revealed. Given its role as a transcription factor, we hypothesized that the downstream targets of NHR-66 affect trap resistance.

Hormone receptors are known to mediate systemic responses to environmental stimuli. Several NHRs, including NHR-23 and NHR-41, regulate the expression of cuticular collagen genes during development and molting [28,29]. For example, dynamic remodeling of the nematode cuticle by NHRs in the dauer stage can alter collagen expression for enhanced surface impermeability and stress resistance [30,31].

Previous studies have shown NHR-66 interacts with NHR-49 to transcriptionally repress genes in lipid metabolism [27,32]. To see if this previously described function of NHR-66 was crucial for trapping, we tested the escaping rate in a nhr-49 mutant. The nhr-49 mutant did not exhibit trap resistance, supporting a lipid-independent role for nhr-66 in regulating cuticle properties (S6 Fig). In addition, our transcriptomic data suggest that, in contrast to previous reports of NHR-66 as a repressor, NHR-66 can positively regulate gene expression, particularly of cuticular collagens. Indeed, we discovered over 1,200 genes downregulated in nhr-66 mutants. Thus, we propose that A. oligospora targets nematodes through the engagement of multiple molecular targets on the C. elegans cuticle and that these targets act redundantly to ensure adhesion between the fungus and nematode. In support of this model, single collagen mutants did not exhibit resistance to fungal traps (Fig 3D).

Approximately 40% of collagens were downregulated in the nhr-66(yph413) mutant, and overexpressing just a few of these collagens was sufficient to render the mutant animals susceptible to fungal traps (Fig 3F). The downregulation of collagens in the nhr-66 mutant may explain the thinner struts we observed in these animals (Fig 2D). Specifically, BLI-1 and BLI-2, two collagens reported to localize at cuticle struts [33], are significantly downregulated in nhr-66(yph413) mutants. Their depletion may contribute to reduced strut thickness, potentially weakening the cuticle and increasing its vulnerability to hypoosmotic stress.

How does A. oligospora target collagens? One potential mechanism involves the recognition of collagen motifs. Collagens are characterized by a repetitive Gly–X–Y sequence, where X and Y are frequently proline and hydroxyproline, respectively; these polypeptide chains associate to form a right-handed triple helix that constitutes the hallmark structure of collagen. In vertebrate collagens, specific sequence motifs—such as the glycine-phenylalanine-hydroxyproline-glycine-glutamate-arginine (GFOGER) sequence—are recognized by integrin receptors (e.g., α1β1 and α2β1), facilitating robust cell–matrix interactions [34]. Although the exact same motifs do not appear in C. elegans collagens, similar recognition motifs may exist in nematode collagens. While nematode collagens differ structurally from their vertebrate counterparts, such as exhibiting reduced molecular size and a higher frequency of disrupted Gly-X-Y repeats [21], fungal adhesion proteins may nevertheless exploit integrin-like or other proteins to recognize nematode collagens.

Alternatively, A. oligospora may recognize nematode-specific modifications on collagens rather than a certain primary sequence. Many collagens in non-nematode animals, such as type I and type IV in mammals, contain hydroxylysine residues that are glycosylated with sugars such as galactose or glucosylgalactose. This process enhances collagen stability and function in tissues like skin and bones [35]. In contrast, nematode cuticular collagens, which form the exoskeleton, do not have significant amounts of hydroxylysine and thus may lack this type of glycosylation. While typical glycosylation in vertebrates involves addition of a Glc-Gal disaccharide, glycosylation in C. elegans can mean the addition of a complex N-glycan [36]. Although the precise glycosylation profile of nematode collagens remains unclear, these unique glycan modifications may serve as ligands for fungal lectins or other carbohydrate-binding proteins, mirroring glycosylation-dependent adhesion mechanisms described in other biological systems [10].

It is also conceivable that both glycan modifications and the collagen polypeptides themselves cooperate to facilitate fungal adhesion. Such a dual-targeting model—wherein fungal proteins recognize specific sugar moieties while simultaneously engaging with collagen peptide motifs—could enhance binding specificity and strength.

While our findings indicate that NHR-66 regulates fungal adhesion primarily through control of collagen expression, additional targets may contribute to nematode susceptibility. In addition to the collagen gene family, our RNA-seq analysis also identified several candidate gene families that might play a role in fungal-nematode interactions. For instance, C-type lectins—a diverse class of carbohydrate-binding proteins implicated in immune recognition and host–pathogen interactions—may facilitate nematode attachment to A. oligospora traps, as approximately 14% (38 of 264) of these genes are differentially expressed following fungal exposure. Further exploration of these C-type lectins could reveal additional molecular pathways involved in nematode–NTF adhesion.

From the perspective of NTF, adhesion between predator and prey is a critical step in successful predation. In A. oligospora, genes encoding TEPs are markedly upregulated upon nematode exposure and exhibit selective expansion across NTFs [9]. Specifically, TEP1 has been experimentally confirmed to play a crucial role in the adhesiveness of fungal traps. These proteins may function as versatile adhesion effectors capable of recognizing both glycosylation patterns and peptide sequences on the nematode cuticle. Further elucidation of the molecular interactions between fungal adhesion proteins and nematode collagens will be critical to understanding the mechanistic basis of fungal predation.

The nematode-NTF relationship exemplifies the Red Queen Effect, where predator and prey continuously evolve to counteract each other’s adaptations. The expansion and utilization of new nematode collagen and C-type lectin genes may represent a defense response to escape fungal predation. Interestingly, while resistant to capture by most NTFs, nhr-66 mutants remain susceptible to Arthrobotrys musiformis. This finding suggests that certain species of NTF may have also evolved additional adhesion mechanisms, perhaps as a countermeasure to adaptive evolution by nematodes.

Our analysis of the CaeNDR database provides further insight into the natural variation of nhr-66 in C. elegans wild isolates. The predominance of silent and non-coding variants, along with the rarity of missense mutations and a single in-frame deletion/start-loss mutation affecting only nhr-66 isoforms b and j, suggests that complete loss-of-function mutations are under strong negative selection (S1 Table). From an evolutionary perspective, the scarcity of nhr-66 loss-of-function alleles in natural populations highlights a potential trade-off between fungal resistance and physiological stability. While resistance to fungal adhesion is beneficial, NHR-66 function appears essential for nematode fitness, particularly under hypoosmotic stress which nematodes may experience in wet environments, emphasizing the evolutionary balance between flight (adaptations for escaping predators) and forage (daily life). In contrast, examination of variants in cuticular collagen genes revealed that several collagens, such as col-19, col-139, and sqt-2, harbor high-impact mutations including start codon loss, frameshifts, and splice region variants. These observations suggest that, unlike nhr-66, certain collagen genes are able to tolerate greater variation at the protein level. This is likely due to nhr-66 function as a master regulator with pleiotropic roles, whereas individual collagens primarily serve structural functions, such as protection and support. Moreover, the high degree of redundancy among collagen genes may buffer the effects of deleterious mutations, whereas no single factor appears capable of fully compensating for the diverse functions of nhr-66.

Understanding the mechanism of adhesion has broad implications beyond nematode-fungus interactions. Elucidating fungal adhesion pathways could inform the development of antifungal therapeutics, while insights into the structural and biochemical properties of the nematode cuticle may inspire novel biomimetic adhesives. Moreover, investigating nematode collagens offers valuable perspectives on extracellular matrix biology and wound healing, due to their structural similarities with vertebrate collagens [37]. Targeting the surface properties of nematodes may also facilitate the development of interventions against parasitic species, while optimizing fungal adhesion could enhance the efficacy of NTFs as biological control agents in agriculture. This work uncovering NHR-66 as a key regulator of fungal adhesion enriches our understanding of host–pathogen/predator–prey interactions and provides a framework for understanding the genetic and molecular determinants of the evolutionary arms race between the most abundant animal group and their natural predators.

Materials and methods

Nematode and fungal strains

Nematode strains, including both wild-type and mutant variants, were maintained at room temperature on nematode growth (NG) medium agar plates supplemented with Escherichia coli OP50 as the bacterial food source. The wild-type strain C. elegans Bristol N2 was utilized as the reference strain, except where noted. Mutant strains were procured from the Caenorhabditis Genetics Center (CGC) or created in-house using CRISPR-Cas9 gene-editing technology (STOP-IN), as previously described [12]. Transgenic nematodes were generated using standard microinjection techniques to introduce plasmid constructs into the germline [38]. The NTF Arthrobotrys oligospora strain TWF154 served as the wild-type strain in this study and was used in most fungal assays, except experiments assessing the role of nhr-66(-) in resistance against different NTFs [5]. For all assays requiring trap induction, the fungi were cultivated on low-nutrient media (LNM) (2% agar, 1.66 mM MgSO4, 5.4 µM ZnSO4, 2.6 µM MnSO4, 18.5 µM FeCl3, 13.4 mM KCl, 0.34 µM biotin, and 0.75 µM thiamin). A comprehensive list of all nematode and fungal strains used in this study, along with their sources and genotypes, is available in S2 Table.

Genetic screen, single-nucleotide polymorphism mapping, and whole-genome sequencing

Mutagenesis of C. elegans N2 was performed using EMS or ENU following established protocols to induce random mutations for phenotypic screening of trap resistance [39]. Semi-synchronized F2 populations were screened for fungal resistance by adding to A. oligospora cultures with pre-induced traps. One day before mutant screening, traps were induced on LNM plates by adding mixed stages of wild-type C. elegans. Mutants that resisted fungal trap capture were isolated, and their progeny underwent multiple rounds of re-screening to confirm the stability and reproducibility of the resistant phenotype. Approximately 200,000 genomes were screened, resulting in the isolation of ~30 mutants, of which five exhibited robust and reproducible resistance. These five mutants were selected for detailed genetic analysis, including SNP mapping and WGS.

For rapid SNP mapping, mutants were crossed with the Hawaiian strain (C. elegans CB4856) [11]. F2 progeny displaying trap resistance were selected for SNP mapping, and at least two individuals from each mutant line were analyzed for eight SNP markers per chromosome. Genomic DNA was extracted from these resistant F2 progeny and sequenced using Illumina WGS, with coverage depths ranging from 2 to 296× to ensure adequate resolution for mutation identification. The WGS data were processed and analyzed using the CloudMap pipeline, an open-source tool optimized for C. elegans mutation detection. Variant calling and SNP identification were performed using default parameters [40].

Resistance assay

To quantify nematode trap resistance and fungal capture efficiency, we measured the nematode escape rate as a proxy. The laboratory strain A. oligospora TWF154 was cultured on 5-cm LNM plates at 25 °C for four days. Approximately 300–350 semi-synchronized N2 animals (L4 to young adult stages) were transferred onto the A. oligospora culture one day before the assay to stimulate trap formation. To assess trap resistance, 30 adult nematodes were transferred onto pre-induced fungal traps and allowed to crawl on the fungal lawn for 10 min. Following the incubation, ~ 10 ml of deionized water was gently applied to the plate to wash away untrapped nematodes. The nematode escape rate was calculated as the proportion of untrapped nematodes relative to the total number tested.

Fosmid, collagen, and tissue-specific rescue

The WRM0634bB10 fosmid, containing the complete nhr-66 locus, was injected into forward genetic screen (yph406-408, 410, and 412) mutants and the nhr-66 STOP-IN (yph413) mutant to restore nhr-66 expression and assess functional rescue. The cDNA for nhr-66 and other tested genes was amplified from N2 cDNA using Phusion High-Fidelity DNA Polymerase (Thermo Scientific) and subcloned into the pSM plasmid using the In-Fusion HD Cloning Kit (Takara Bio). Promoter swapping was achieved by subcloning various promoter sequences into the pSM plasmid using SphI, HindIII, and AscI restriction enzymes to drive tissue-specific expression of nhr-66. The resulting plasmids were microinjected into the gonads of the nhr-66(yph413) mutant.

Collagen genes were expressed under the control of a 2 kb rol-6 promoter, selected for its strong and ubiquitous expression in the epidermis. These constructs were injected into the nhr-66(yph413) mutant.

Reporter lines generation and fluorescence imaging

Plasmids of specific promoters driving GFP were generated by microinjection into either wild-type (N2) or nhr-66(yph413) mutant backgrounds. For the nhr-66 GFP reporter, 2 kb of DNA upstream of the nhr-66 isoform a was selected as the promoter.

Fluorescence imaging was performed using a Zeiss AxioImager Z1 microscope equipped with a CoolSNAP HQ2 camera. GFP expression was visualized under standardized imaging conditions, including a 40× objective and optimized exposure times to prevent saturation. Images were analyzed and processed using ZEISS ZEN Blue software. Briefly, images were quantified by manually framing individual worms in the images. The mean GFP fluorescence intensity within each framed nematode was calculated, and background brightness was subtracted

Atomic force microscopy (AFM)

AFM imaging and quantification were performed following established protocols [41]. Young adult nematodes were paralyzed for imaging using 1 mM levamisole and immobilizing the head and tail using WORMGLU (GluStitch ) on a 3% agarose pad within a petri dish. To prevent dehydration, nematodes were immersed in 2.5 mL of M9 buffer throughout the imaging process.

AFM images were acquired using a JPK NanoWizard III atomic force microscope in contact mode for high-resolution surface imaging. Images were captured using qp-CONT-10 AFM probes (Nanosensors) with a set point of 0.35 V and a scanning speed of 1 Hz. The probe sensitivity and spring constant were calibrated using the JPK calibration tool to ensure measurement accuracy.

Transmission electron microscopy (TEM)

Young adult C. elegans were prepared for TEM using high-pressure freezing for cryofixation. Nematodes were placed into a 100 µm-deep well of a type A planchette filled with E. coli, then covered with the flat side of a type B planchette to secure the sample. The assembled planchettes were immediately loaded into a freezing holder and cryofixed using a Leica HPM 100 high-pressure freezer. To prevent adhesion, planchettes were pre-coated with 1-hexadecene (Sigma-Aldrich, St. Louis, MO).

Following cryofixation, frozen planchettes were transferred to cryo-vials containing a freeze-substitution solution (0.1% uranyl acetate and 1% OsO₄ in acetone; Electron Microscopy Sciences, Hatfield, PA) and submerged in a liquid nitrogen bath. Freeze-substitution was performed using a Leica EM AFS2 system, following a controlled temperature regime that gradually transitioned from −90 °C to 20 °C to preserve ultrastructural integrity.

For resin infiltration, samples were placed in Spurr’s resin/acetone (1:9) solution on a shaker for 48 hours, followed by stepwise resin concentration increases (20%, 50%, 75%, and 100%) at 8-h intervals. After the final infiltration in 100% resin, samples were embedded in fresh resin and polymerized at 70 °C for 12 h.

Ultrathin sections (75 nm) of the pharynx procorpus were collected on Formvar-coated EM grids (copper slot grids, 1 mm × 2 mm). Sections were post-stained with 1% aqueous uranyl acetate (UA) and Reynolds’ lead citrate to enhance contrast. Imaging was performed using a Tecnai G2 Spirit TWIN (Thermo Fisher Scientific) transmission electron microscope operated at 100 kV, equipped with a GATAN CCD SC1000 camera (4,008 × 2,672 active pixels) for digital image acquisition.

Cuticle thickness and strut width were quantified using ImageJ. For cuticle thickness, five sites were selected per image, and their measurements were averaged to obtain a representative value for each image. The average values from images of the same nematode sample were then averaged to represent the overall cuticle thickness of the nematodes. For strut width quantification, the width was measured at the point of contact with the cortical or basal layer, depending which layer was in-frame. For images capturing the strut connected to both layers, either the cortical or basal side was chosen at random for quantification.

Total RNA isolation, RNA-seq library preparation, and data analysis

RNA isolation.

Late L4-stage C. elegans (N2 and nhr-66 STOP-IN mutant) were exposed to 9-cm, 5-day-old A. oligospora LNM cultures without traps for 30 min to study transcriptional responses under fungal interaction conditions. After exposure, nematodes were harvested and washed 2× in M9 buffer to remove residual bacteria and fungal debris, then flash-frozen in liquid nitrogen. Total RNA was extracted using a Trizol-based protocol [42], treated with Turbo DNase (Thermo Fisher Scientific) to remove genomic DNA, and further purified by ethanol precipitation. RNA quality was assessed using the Agilent Bioanalyzer (RNA Integrity Number, RIN ≥ 8.0), and concentrations were measured using a Qubit fluorometer (Thermo Fisher Scientific).

RNA-seq library preparation.

RNA-seq libraries were prepared at the Genomics Core Facility, Institute of Molecular Biology, Academia Sinica, following standardized protocols [43]. Libraries were constructed using ribosomal RNA depletion and stranded RNA-seq methods to ensure accurate transcript quantification.

Quality control and alignment.

Sequencing quality was evaluated using FastQC (v0.11.9) to confirm high-quality reads with minimal adapter contamination and sequence bias. Cleaned reads were aligned to the C. elegans reference genome (PRJNA13758, WormBase WS273) using STAR aligner (v2.7) [44] with default parameters. Gene- and isoform-level expression was quantified using RSEM (v1.3.3) [45].

Differential gene expression and functional analysis.

Differential gene expression analysis was conducted using edgeR [46]. Raw counts were processed into a DGEList object, and low-abundance genes were filtered based on a count-per-million threshold across replicates. Gene expression was normalized using the trimmed mean of M-values method, and statistical significance was determined via exact tests, with false discovery rate adjustment. Dimension reduction for visualization was performed using PCA with the factoextra (v.1.0.7) package in R [47].

Gene Ontology (GO) and visualization.

A total of 1,255 downregulated genes were subjected to GO enrichment analysis using WormBase Enrichment Suite [20]. Functional categories were considered significant with a q-value threshold of 0.1. Heat maps representing gene expression patterns were generated using the pheatmap (v.1.0.12) package in R. Differential Gene Expression analysis between N2 and nhr-66 mutants files are available from the GEO database (GSM8967049-GSM8967054).

Hypoosmotic stress assay

Hypoosmotic stress was assayed using a modified version of a previously described hypotonicity assay [48] according to suggestions from Nathalie Pujol (pers. communication). Synchronized day-1 adult nematodes were collected from NG plates using M9 buffer. The nematodes were washed twice with deionized water to remove residual bacteria and debris, followed by centrifugation at 500g for 30 s. The supernatant was carefully removed, and the nematode pellets were transferred to 24-well plates, with each well containing approximately 30–50 nematodes. The exact number of nematodes per well was recorded before adding 1 mL of deionized water to each well as the hypoosmotic medium. The number of intact nematodes was counted at specific time intervals—0, 5, 10, 15, 20, 25, 30, 45, 60, 90, 120, and 150 min. Nematodes displaying rupture of the cuticle or visible extrusion of internal contents were classified as burst and excluded from the intact count. The worm exploded rate was calculated as the percentage of burst nematodes relative to the initial count.

Competition assay

Fifty milliliter centrifuge tubes were filled with autoclaved soil (Far East Flora Garden Online Jiffy Florafleur 002 Universal Potting Soil) to provide a controlled environment free from contaminants. Soil was autoclaved at 121 °C for 30 min and cooled before use. To each tube, 1 mL of E. coli OP50 culture, prepared as for NG plates (OD600, 0.596), was added as a bacterial food source.

Synchronized GFP-labeled wild-type young adults (C. elegans strain SJ4144) and non-GFP nhr-66(yph413) mutants were washed twice in M9 buffer to remove residual bacteria and debris before being added to the tubes. Each tube received 1,000 GFP-labeled wild-type nematodes and 1,000 non-GFP nhr-66(-) nematodes. Tubes were loosely capped to allow gas exchange and incubated at 20 °C to simulate standard environmental conditions. At 7, 14, and 21 days, nematodes were harvested from the soil using the Baermann technique. The recovered nematodes were transferred to NG plates, and the numbers of GFP-labeled wild-type and non-GFP nhr-66(-) nematodes were quantified using a Zeiss steREO V20 microscope equipped with a Andor Zyla 5.5 sCMOS camera. GFP-positive nematodes were identified using a fluorescence filter (excitation 488 nm, emission 509 nm).

Developmental stage assay

To quantify developmental stages, 10 day-1 adult hermaphrodites from both wild-type C. elegans (N2) and nhr-66(yph413) mutants were transferred to standard NG plates seeded with E. coli OP50. After two hours of egg-laying, the adult nematodes were removed by picking to prevent additional egg deposition. The plates were then incubated at 22 °C under standard laboratory conditions.

At 44, 56, 64, and 72 h post-egg lay, the developmental stages of the progeny were assessed under a dissecting microscope. Larval stages (L1, L2, L3, L4) and adults were identified based on size, gonad morphology, and overall appearance. The number of nematodes at each developmental stage was recorded for subsequent analysis.

Brood size assay

To quantify brood size, L4-stage hermaphrodites from wild-type C. elegans (N2) and nhr-66(yph413) mutants were singled onto standard NG plates seeded with E. coli OP50. Each hermaphrodite was transferred daily to a fresh plate to prevent overcrowding and allow accurate progeny counts. Transfers continued until the mother ceased egg-laying. After progenies reached the adult stage, the total number of viable progenies produced by each hermaphrodite was manually counted under a dissecting microscope. Non-viable eggs or unfertilized oocytes were excluded from the count. The brood size for each nematode was recorded as the total number of hatched progenies.

Dauer formation assay

The dauer formation assay was conducted as previously described [49]. Ten adult nematodes were transferred onto dauer induction plates and allowed to egg lay for three hours. Plates were incubated at 25 °C, a temperature known to enhance dauer induction under appropriate conditions. Adults were removed by picking, and the total number of eggs laid was counted under a dissecting microscope. Plates were then sealed with parafilm to prevent dehydration and stored at 25 °C for three days. After this period, nematodes were categorized as either adults or dauers based on morphology. Dauer formation rate was calculated as the proportion of dauers relative to the total number of nematodes observed.

Mating efficiency assay

Mating efficiency was assessed using crosses between dpy-13(e184) mutant hermaphrodites and males from different strains. Three L4-stage dpy-13(-) hermaphrodites were placed on mating plates, which consisted of standard 5 cm NG agar plate seeded with E. coli OP50 make a 1 cm bacteria lawn. Eight L4-stage males were added to each mating plate, and the plates were maintained at 20 °C for 24 hours to allow mating.

After 24 h, the males were removed by picking, and the hermaphrodites were transferred daily to fresh NG plates until no additional progeny were produced. Once the progeny reached adulthood, offspring were categorized as dumpy (self-progeny) or non-dumpy (cross-progeny) based on morphological features such as body size and shape. Mating efficiency was calculated using the formula: mating efficiency = number of non-dumpy (cross progeny) divided by the total progeny.

Supporting information

S1 Data. This spreadsheet contains the data presented in the Fig 1.

(XLSX)

pbio.3003178.s001.xlsx (16.8KB, xlsx)
S2 Data. This spreadsheet contains the data presented in the Fig 2.

(XLSX)

pbio.3003178.s002.xlsx (21.6KB, xlsx)
S3 Data. This spreadsheet contains the data presented in the Fig 3.

(XLSX)

pbio.3003178.s003.xlsx (188.9KB, xlsx)
S4 Data. This spreadsheet contains the data presented in the Fig 4.

(XLSX)

pbio.3003178.s004.xlsx (13.2KB, xlsx)
S5 Data. This spreadsheet contains the data presented in the Fig 5.

(XLSX)

pbio.3003178.s005.xlsx (34.3KB, xlsx)
S6 Data

This spreadsheet contains the data presented in the S2–S6 Figs.

(XLSX)

pbio.3003178.s006.xlsx (18.5KB, xlsx)
S1 Table. CaeNDR-based annotation of nhr-66 variants in wild-isolated Caenorhabditis elegans strains.

(XLSX)

pbio.3003178.s007.xlsx (38.2KB, xlsx)
S2 Table. Strains used in this study.

(XLSX)

pbio.3003178.s008.xlsx (14.1KB, xlsx)
S3 Table. Primers, Recombinant DNA, Chemicals, and Software used in this study.

(XLSX)

pbio.3003178.s009.xlsx (12.6KB, xlsx)
S1 Fig. Visualization of GFP driven by the nhr-66 isoform a promoter in adult hermaphrodites.

White boxes indicate regions shown at higher magnification in subsequent panels (scale bar, 100 µm).

(TIF)

pbio.3003178.s010.tif (896.1KB, tif)
S2 Fig. Developmental stages of wild-type Caenorhabditis elegans (N2) and nhr-66 (yph413) mutants at various time points post-oviposition.

(n is shown below the x-axis). The data underlying this figure can be found in S6 Data.

(TIF)

pbio.3003178.s011.tif (100.9KB, tif)
S3 Fig. Dauer formation rate in wildtype and nhr-66 (yph413) mutants following treatment with extracted dauer pheromone.

(mean ± SEM, n is shown below the x-axis, two-tailed unpaired Student t test). The data underlying this figure can be found in S6 Data.

(TIF)

pbio.3003178.s012.tif (19.1KB, tif)
S4 Fig. Brood size comparison between wildtype and nhr-66 (yph413) mutants.

(mean ± SEM, n is shown below the x-axis, two-tailed unpaired Student t test). The data underlying this figure can be found in S6 Data.

(TIF)

pbio.3003178.s013.tif (22.1KB, tif)
S5 Fig. Mating efficiency of wildtype and nhr-66 (yph413) mutants at 20°C.

(mean ± SEM, n is shown below the x-axis, two-tailed unpaired Student t test). The data underlying this figure can be found in S6 Data.

(TIF)

pbio.3003178.s014.tif (19.3KB, tif)
S6 Fig. Quantification of nematode escaping rates in wild-type Caenorhabditis elegans (N2), the nhr-66 (yph413) mutant, and nhr-49 (yph475) STOP-IN mutant.

(mean ± SEM; n > 6, two-tailed unpaired Student t test). The data underlying this figure can be found in S6 Data.

(XLSX)

pbio.3003178.s015.xlsx (18.5KB, xlsx)
S1 Video

Comparison of trapping interactions between A. oligospora and either N2 or forward genetic screen mutant(yph406).

(MP4)

Download video file (19.5MB, mp4)
S2 Video

Comparison of hypoosmotic stress tolerance between N2 and nhr-66 (yph413) mutants.

(MP4)

Download video file (72.4MB, mp4)

Acknowledgments

We thank the Caenorhabditis Genetic Center (CGC), the Caenorhabditis Natural Diversity Resource (CaeNDR), Dr. Erik Andersen, and Dr. Chun-Hao Chen for sharing the nematode strains, as well as Drs. Jonathan Ewbank and Nathalie Pujol for helpful suggestions on the hypoosmotic stress assay. We thank Sue-Ping Lee and Wen-Li Pon at the Imaging Core facility of Institute of Molecular Biology, Academia Sinica, for technical assistance with TEM. We also thank Chun-Liang Pan, Chun-Hao Chen, Erik Andersen, and Hillel Schwartz for comments and suggestions about this work. We acknowledge WormBase (https://doi.org/10.1093/genetics/iyae050) and CaeNDR.

Abbreviations

AFM

atomic force microscopy

AMPs

antimicrobial peptides

CaeNDR

Caenorhabditis Natural Diversity Resource

CGC

Caenorhabditis Genetics Center

EMS

ethyl methanesulfonate

ENU

N-Nitroso-N-ethylurea

GFOGER

glycine-phenylalanine-hydroxyproline-glycine-glutamate-arginine

GO

gene ontology

NG

nematode growth

NHR

nuclear hormone receptor

NTFs

nematode-trapping fungi

PCA

principal component analysis

SNP

single-nucleotide polymorphism

TEM

transmission electron microscopy

TEP

Trap Enriched Protein

WGS

whole-genome sequencing

Data Availability

Most of the relevant data are within the paper and its Supporting information files. Differential gene expression analysis between N2 and nhr-6 6 mutants files are available from the GEO database (GSM8967049-GSM8967054).

Funding Statement

This work was supported by Academia Sinica Investigator Award AS-IA-111-L02 to Y.-P.H., Academia Sinica Postdoctoral Fellowship to R.J.T., and the Max Planck Society to Y.-P.H. The funders played no roles in the study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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Decision Letter 0

Roland Roberts

Dear Ping,

Thank you for submitting your manuscript entitled "Cuticular collagens mediate cross-kingdom predator-prey interactions between nematodes and trapping fungi" for consideration as a Research Article by PLOS Biology.

Your manuscript has now been evaluated by the PLOS Biology editorial staff, as well as by an academic editor with relevant expertise, and I'm writing to let you know that we would like to send your submission out for external peer review.

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Kind regards,

Roli

Roland Roberts, PhD

Senior Editor

PLOS Biology

rroberts@plos.org

Decision Letter 1

Roland Roberts

Dear Ping,

Thank you for your patience while your manuscript "Cuticular collagens mediate cross-kingdom predator-prey interactions between nematodes and trapping fungi" was peer-reviewed at PLOS Biology. It has now been evaluated by the PLOS Biology editors, an Academic Editor with relevant expertise, and by three independent reviewers.

You'll see that reviewer #1 is very positive, but presents a list of questions, some of which require textual or presentational changes, but some of which imply additional analyses. Reviewer #2 is also positive, but suggests a number of experiments (using a reporter line, attempting rescue with a different collagen gene). Reviewer #3 also praises the study; most of his/her requests are presentational, but points 4 and 5 suggest additional analysis and experiment, respectively.

Based on the reviews and on our Academic Editor's assessment, we are likely to accept this manuscript for publication, provided you satisfactorily address the points raised by the reviewers (by textual and/or presentational changes only) and the following data and other policy-related requests.

IMPORTANT - please attend to the following:

a) I discussed the reviewers' comments with the Academic Editor. While they recognise that some of the experimental and analytical requests would indeed improve the paper, they said that these are not required to support the current claims, and so we would only require textual and/or presentational changes to address the concerns raised.

b) Please address my Data Policy requests below; specifically, we need you to supply the numerical values underlying Figs 1BC, 2ABCD, 3ABCDFG, 4, 5BCD, S2, S3, S4, S5, either as a supplementary data file or as a permanent DOI’d deposition.

c) Please cite the location of the data clearly in all relevant main and supplementary Figure legends, e.g. “The data underlying this Figure can be found in S1 Data” or “The data underlying this Figure can be found in https://zenodo.org/records/XXXXXXXX

d) Please make any custom code available, either as a supplementary file or as part of your data deposition.

As you address these items, please take this last chance to review your reference list to ensure that it is complete and correct. If you have cited papers that have been retracted, please include the rationale for doing so in the manuscript text, or remove these references and replace them with relevant current references. Any changes to the reference list should be mentioned in the cover letter that accompanies your revised manuscript.

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Please do not hesitate to contact me should you have any questions.

Sincerely,

Roli

Roland Roberts, PhD

Senior Editor

rroberts@plos.org

PLOS Biology

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DATA POLICY:

You may be aware of the PLOS Data Policy, which requires that all data be made available without restriction: http://journals.plos.org/plosbiology/s/data-availability. For more information, please also see this editorial: http://dx.doi.org/10.1371/journal.pbio.1001797

Note that we do not require all raw data. Rather, we ask that all individual quantitative observations that underlie the data summarized in the figures and results of your paper be made available in one of the following forms:

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Regardless of the method selected, please ensure that you provide the individual numerical values that underlie the summary data displayed in the following figure panels as they are essential for readers to assess your analysis and to reproduce it: Figs 1BC, 2ABCD, 3ABCDFG, 4, 5BCD, S2, S3, S4, S5. NOTE: the numerical data provided should include all replicates AND the way in which the plotted mean and errors were derived (it should not present only the mean/average values).

IMPORTANT: Please also ensure that figure legends in your manuscript include information on where the underlying data can be found, and ensure your supplemental data file/s has a legend.

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Please note that we cannot accept sole deposition of code in GitHub, as this could be changed after publication. However, you can archive this version of your publicly available GitHub code to Zenodo. Once you do this, it will generate a DOI number, which you will need to provide in the Data Accessibility Statement (you are welcome to also provide the GitHub access information). See the process for doing this here: https://docs.github.com/en/repositories/archiving-a-github-repository/referencing-and-citing-content

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DATA NOT SHOWN?

- Please note that per journal policy, we do not allow the mention of "data not shown", "personal communication", "manuscript in preparation" or other references to data that is not publicly available or contained within this manuscript. Please either remove mention of these data or provide figures presenting the results and the data underlying the figure(s).

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REVIEWERS' COMMENTS:

Reviewer #1:

Review of PLoS Biology

Organisms do not exist in isolation but in a complex ecological web with other organisms that involves predation, mutualism, and symbioses. Despite many examples of these highly nuanced and evolutionarily important relationships, little is known about the molecular basis underlying these interactions. One reason for this is because model systems - which have the genetic power to uncover molecular mechanisms - are often studied in lab settings outside their natural niches. One relationship that has captured much interest are worm-trapping fungi that capture comparatively large metazoans in predator-prey relationships. The present study is important because it exploits the powerful genetics of C. elegans to understand their vulnerabilities in this specific predator-prey relationship. A genetic screen was performed to look for predation-resistant mutants. This effort uncovered a transcription factor of the hormone receptor family. Further analysis revealed a new role of target adhesion proteins in predator escape, but not without a trade off in other physiologically relevant phenotypes. In addition to the uniqueness of the genetic screen, several other novel aspects of the paper include the ultrastructural analysis of the worm cuticle. In these ways, the study breaks new ground in an important and interesting area. Below follow some questions for the authors to consider:

1. Why does the hormone receptor normally regulate collagen gene expression? Do worms have the option of altering their surface properties?

2. "Furthermore, sequence analysis of natural C. elegans populations revealed no obvious loss-of-function variants in nhr-66, suggesting selective pressures exist that balance adhesion-mediated predation risk with physiological robustness." Were changes observed in the collagen genes?

3. It is clear the authors are striving to make the study clear and relevant. Nevertheless, going from the results to Figure 1B and 1C is difficult for the general reader to understand. What's a fosmid? What is the purpose of the red rectangle? What are all the gene names? The figure legend does not clear this up.

4. For clarification, how many total collagen genes are there in worms?

5. Figure 2B, the wild type and mutant do not look the same - there is a difference in granularity. What do the authors think underlies this difference?

6. Do the mutant worms have any motility defects? Do collagen overexpressing strains have altered motility?

7. Does purified collagen bind to the fungus?

8. Is cuticle left behind on the fungus after escape?

Reviewer #2:

This manuscript show very interesting results. To pick a few exciting points, they show that A. oligospora targets and kills the cuticle/collagen of the nematode; that nhr-66, which regulates the cuticle genes, was identified through forward genetics.

They also show that nhr-66 is an essential gene selected for survival in nature by showing that there is no significant natural variations defective in nhr-66 functions.

Overall, the manuscript will be appropriate for publication in PLOS Biology after a minor revision as suggested below. In addition, I felt that it would be interesting to examine natural variations of collagen genes controlled by nhr-66 to see if there is any selection during evolution.

Major points

- Figure 2: They describe that macroscopic cuticle structure has not been changed. Would it be possible to provide evidence for that, for example, by showing cuticle structures using translational reporter lines such as col-19::gfp in nhr-66 mutants?

- line 268: It would be nicer if they can show some other collagen genes that can rescue mutant phenotypes besides col-14.

- Other studies (for example, Nasrallah MA et al., 2023) seem to show that nhr-66 is a transcriptional repressor. It would be necessary to elaborate / explain their notion that nhr-66 is an activator.

Minor points

- line 148: Adding information on the insertion site STOP-IN cassette in Fig 1D would be helpful.

- line 163: Please revise the phrase 'the tissues key for cuticle synthesis' to 'the key tissues for cuticle synthesis'.

- line 194: It appears that only a single allele (yph413) was analyzed. Therefore, it would be better to revise the title from 'Mutations' to 'Mutation' to reflect this.

- Figure 2: Placing the Greek letters with the title of corresponding graphs would be easier for readers to comprehend.

- line 377: It is mentioned in discussion that nhr-49 mutant does not show trap resistance. However, relevant data are not present in the main text and figures. Please rephrase the sentence or show evidence.

Reviewer #3:

In this manuscript, the authors follow up on their prior study that identified a new family of fungal protein that mediate the trapping of prey nematodes. Using the fungus Arthrobotrys oligospora, they previously showed that the TEP genes encode proteins that facilitate the capture of C. elegans worms via a process that seemingly involved carbohydrate-mediated adhesion. Here, they employ a nifty genetic screen to identify C. elegans mutants that are capable of evading capture. Through detailed phenotypic characterization of the resulting nhr-66 mutants, the screen ultimately resulted in the demonstration that nematode collagens are likely adhesive targets that mediate capture by A. oligosperma. Although removing these targets confers resistance to capture, it comes with the associated cost of increased sensitivity to osmotic stress. Accordingly, this resistance mechanism is not observed in natural isolates. However, results from the study shed light on the initial adhesive interactions that mediate prey capture by A. oligosperma and identify strategies that could be used to engineer nematode-trapping fungi (NTF) as biocontrol agents in the field.

Overall, this is a well-conceived and performed study that provides significant new insight into interactions between worms and NTF. The genetic, phenotypic, and molecular analysis are all first rate, such that the author's conclusions are sound and well-justified. Overall, I only have the following minor suggestions or concerns;

1. Fig. 1A would be much easier to interpret if the authors used a darker colour scheme to represent nematodes and the traps.

2. The plots presented in Figs. 2B and 2C are very difficult to read given the light colouring..

3. Line 288 and Fig 4A. In addition to A. musiformis, the protective affect of the nhr-66 mutation on A. amerospora is also reduced, although this occurs in a high background of general resistance to this species in wild type. This might be worth commenting on as well.

4. Fig. 1B and Line 221. Was GO enrichment performed on the 168 up-regulated genes? Were any patterns observed?

5. Fig. 5B and Line 312. Were the natural variants within nhr-66 also tested for their effects on hypo-osmotoic stress? One would expect there to be a much lower frequency of ruptured worms given the negligible impact on escape.

Decision Letter 2

Roland Roberts

Dear Ping,

Thank you for the submission of your revised Update Article "Cuticular collagens mediate cross-kingdom predator-prey interactions between trapping fungi and nematodes" for publication in PLOS Biology. On behalf of my colleagues and the Academic Editor, Aaron Mitchell, I'm pleased to say that we can in principle accept your manuscript for publication, provided you address any remaining formatting and reporting issues. These will be detailed in an email you should receive within 2-3 business days from our colleagues in the journal operations team; no action is required from you until then. Please note that we will not be able to formally accept your manuscript and schedule it for publication until you have completed any requested changes.

Please take a minute to log into Editorial Manager at http://www.editorialmanager.com/pbiology/, click the "Update My Information" link at the top of the page, and update your user information to ensure an efficient production process.

PRESS: We frequently collaborate with press offices. If your institution or institutions have a press office, please notify them about your upcoming paper at this point, to enable them to help maximise its impact. If the press office is planning to promote your findings, we would be grateful if they could coordinate with biologypress@plos.org. If you have previously opted in to the early version process, we ask that you notify us immediately of any press plans so that we may opt out on your behalf.

We also ask that you take this opportunity to read our Embargo Policy regarding the discussion, promotion and media coverage of work that is yet to be published by PLOS. As your manuscript is not yet published, it is bound by the conditions of our Embargo Policy. Please be aware that this policy is in place both to ensure that any press coverage of your article is fully substantiated and to provide a direct link between such coverage and the published work. For full details of our Embargo Policy, please visit http://www.plos.org/about/media-inquiries/embargo-policy/.

Thank you again for choosing PLOS Biology for publication and supporting Open Access publishing. We look forward to publishing your study. 

Sincerely, 

Roli

Roland G Roberts, PhD, PhD

Senior Editor

PLOS Biology

rroberts@plos.org

Associated Data

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

    Supplementary Materials

    S1 Data. This spreadsheet contains the data presented in the Fig 1.

    (XLSX)

    pbio.3003178.s001.xlsx (16.8KB, xlsx)
    S2 Data. This spreadsheet contains the data presented in the Fig 2.

    (XLSX)

    pbio.3003178.s002.xlsx (21.6KB, xlsx)
    S3 Data. This spreadsheet contains the data presented in the Fig 3.

    (XLSX)

    pbio.3003178.s003.xlsx (188.9KB, xlsx)
    S4 Data. This spreadsheet contains the data presented in the Fig 4.

    (XLSX)

    pbio.3003178.s004.xlsx (13.2KB, xlsx)
    S5 Data. This spreadsheet contains the data presented in the Fig 5.

    (XLSX)

    pbio.3003178.s005.xlsx (34.3KB, xlsx)
    S6 Data

    This spreadsheet contains the data presented in the S2–S6 Figs.

    (XLSX)

    pbio.3003178.s006.xlsx (18.5KB, xlsx)
    S1 Table. CaeNDR-based annotation of nhr-66 variants in wild-isolated Caenorhabditis elegans strains.

    (XLSX)

    pbio.3003178.s007.xlsx (38.2KB, xlsx)
    S2 Table. Strains used in this study.

    (XLSX)

    pbio.3003178.s008.xlsx (14.1KB, xlsx)
    S3 Table. Primers, Recombinant DNA, Chemicals, and Software used in this study.

    (XLSX)

    pbio.3003178.s009.xlsx (12.6KB, xlsx)
    S1 Fig. Visualization of GFP driven by the nhr-66 isoform a promoter in adult hermaphrodites.

    White boxes indicate regions shown at higher magnification in subsequent panels (scale bar, 100 µm).

    (TIF)

    pbio.3003178.s010.tif (896.1KB, tif)
    S2 Fig. Developmental stages of wild-type Caenorhabditis elegans (N2) and nhr-66 (yph413) mutants at various time points post-oviposition.

    (n is shown below the x-axis). The data underlying this figure can be found in S6 Data.

    (TIF)

    pbio.3003178.s011.tif (100.9KB, tif)
    S3 Fig. Dauer formation rate in wildtype and nhr-66 (yph413) mutants following treatment with extracted dauer pheromone.

    (mean ± SEM, n is shown below the x-axis, two-tailed unpaired Student t test). The data underlying this figure can be found in S6 Data.

    (TIF)

    pbio.3003178.s012.tif (19.1KB, tif)
    S4 Fig. Brood size comparison between wildtype and nhr-66 (yph413) mutants.

    (mean ± SEM, n is shown below the x-axis, two-tailed unpaired Student t test). The data underlying this figure can be found in S6 Data.

    (TIF)

    pbio.3003178.s013.tif (22.1KB, tif)
    S5 Fig. Mating efficiency of wildtype and nhr-66 (yph413) mutants at 20°C.

    (mean ± SEM, n is shown below the x-axis, two-tailed unpaired Student t test). The data underlying this figure can be found in S6 Data.

    (TIF)

    pbio.3003178.s014.tif (19.3KB, tif)
    S6 Fig. Quantification of nematode escaping rates in wild-type Caenorhabditis elegans (N2), the nhr-66 (yph413) mutant, and nhr-49 (yph475) STOP-IN mutant.

    (mean ± SEM; n > 6, two-tailed unpaired Student t test). The data underlying this figure can be found in S6 Data.

    (XLSX)

    pbio.3003178.s015.xlsx (18.5KB, xlsx)
    S1 Video

    Comparison of trapping interactions between A. oligospora and either N2 or forward genetic screen mutant(yph406).

    (MP4)

    Download video file (19.5MB, mp4)
    S2 Video

    Comparison of hypoosmotic stress tolerance between N2 and nhr-66 (yph413) mutants.

    (MP4)

    Download video file (72.4MB, mp4)

    Data Availability Statement

    Most of the relevant data are within the paper and its Supporting information files. Differential gene expression analysis between N2 and nhr-6 6 mutants files are available from the GEO database (GSM8967049-GSM8967054).


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