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A moth odorant receptor highly expressed in the ovipositor is involved in detecting host-plant volatiles

  1. Rui-Ting Li
  2. Ling-Qiao Huang
  3. Jun-Feng Dong
  4. Chen-Zhu Wang  Is a corresponding author
  1. State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, China
  2. CAS Center for Excellence in Biotic Interactions, University of Chinese Academy of Sciences, China
  3. Forestry College, Henan University of Science and Technology, China
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Cite this article as: eLife 2020;9:e53706 doi: 10.7554/eLife.53706

Abstract

Antennae are often considered to be the nostrils of insects. Here, we sequenced the transcriptome of the pheromone gland-ovipositor complex of Helicoverpa assulta and discovered that an odorant receptor (OR) gene, HassOR31, had much higher expression in the ovipositor than in antennae or other tissues. To determine whether the ovipositor was involved in odorant detection, we co-expressed HassOR31 and its co-receptor, HassORco, in a Xenopus oocyte model system, and demonstrated that the OR was responsive to 12 plant odorants, especially Z-3-hexenyl butyrate. These odorants elicited electrophysiological responses of some sensilla in the ovipositor, and HassOR31 and HassORco were co-expressed within ovipositor sensilla. Two oviposition preference experiments showed that female moths lacking antennae still preferentially selected oviposition sites containing plant volatiles. We suggest that the expression of HassOR31 in the ovipositor of H. assulta helps females to determine precise egg-laying sites in host plants.

eLife digest

When most insects reproduce they lay eggs that hatch into juveniles known as larvae. To provide good sources of food for the larvae, the adult insects have to carefully select where to lay the eggs. Host plants produce specific sets of chemicals known as odorants that the adult insects are able to smell using proteins called odorant receptors.

It is generally thought that odorant receptors in the antennae on the head are responsible for guiding adult insects to good egg-laying sites. However, recent studies have reported that odorant receptors are also present in the egg-laying organs of several different species of moth. It remains unclear what role these odorant receptors may play in egg-laying.

The oriental tobacco budworm (Helicoverpa assulta) is considered a serious pest in agriculture. The adult moths lay their eggs on a narrow range of plants in the nightshade family including tobacco and hot pepper. Li et al. have now investigated the odorant receptors of H. assulta and found that one gene for an odorant receptor called HassOR31 was expressed much more in the egg-laying organs of the moths than in the antennae. Further experiments showed that this receptor was tuned to respond to 12 odorants that also stimulated responses in the egg-laying organ of H. assulta. Together these findings suggest that this odorant receptor in the egg-laying organ helps the moths find suitable host plants to lay their eggs on.

The work of Li et al. may help us understand how H. assulta evolved to lay its eggs on specific members of the nightshade family and lead to new methods of controlling this pest. An insect’s sense of smell guides many other behaviors including finding food, mates and avoiding enemies. Therefore, these findings may inspire researchers to investigate whether odorant receptors in the antennae or other organs guide these behaviors.

Introduction

The most important functions of adult insects are to find optimal mates and suitable habitats for survival and success of their offspring. The insect olfactory system plays a key role in these processes, and antennae are often considered to be the nostrils of insects. However, some species also use other cephalic organs, such as maxillary palps and proboscis, to detect volatile compounds (Haverkamp et al., 2016; Di et al., 2017; Lu et al., 2007). Olfactory sensilla distributed on these organs are multiporous hair-like structures innervated by the dendrites of olfactory sensory neurons (OSNs) (Benton and Dahanukar, 2011; Stocker, 1994). Odorant receptors (ORs) are atypical, 7-transmembrane domain proteins, which are located on the dendritic membrane of OSNs, selectively bind to volatile ligands in the environment and are the primary determinants of the detection spectrum of OSNs (Dobritsa et al., 2003; Goldman et al., 2005; Störtkuhl and Kettler, 2001; Wicher et al., 2008). These ligand-binding ORs are considered to form a heteromultimeric complexes with a co-receptor (ORco) and to function as non-selective cation channel (Butterwick et al., 2018; Larsson et al., 2004; Neuhaus et al., 2005; Sato et al., 2008; Vosshall et al., 1999). Some ionotropic receptors (IRs) and gustatory receptors (GRs) are also recognized as odorant-detecting receptors (Benton et al., 2009).

Several recent studies have challenged the hypothesis that only cephalic organs are involved in the detection of volatile compounds in insects. Olfactory receptor genes are expressed not only in antennae and maxilla, but also in ovipositors of a variety of moth species, including Heliothis virescens (Widmayer et al., 2009), Sesamia nonagrioides (Glaser et al., 2013), Chilo suppressalis (Xia et al., 2015), and Manduca sexta (Klinner et al., 2016). However, the function of olfactory receptor genes expressed in the ovipositor remains unknown.

Moth ovipositors are always connected to pheromone glands, and several lines of evidence from different moth species suggest that functional olfactory receptors may be present in the sensilla located on moth ovipositors. For example, a pheromone receptor is expressed in the ovipositor of H. virescens, suggesting a possible role of the ovipositor in feedback regulation of biosynthesis and emission of the female sex pheromone from the sex pheromone gland (Widmayer et al., 2009). Two ORs are expressed in the pheromone gland and ovipositor of the grassland moth, C. suppressalis, but no ORco was detected there (Xia et al., 2015). Sensilla with a multiporous surface are observed in Monopis crocicapitella and Homoeosoma nebulella (Faucheux, 1991; Faucheux, 1988). Finally, a subset of sensilla located on the ovipositor of M. sexta exhibit electrophysiological responses to a large array of volatile organic compounds, and expression of ORco and the ionotropic co-receptors IR8a and IR25a was detected in the ovipositor (Klinner et al., 2016). However, the function of ORs expressed in the ovipositor of moths and whether these ORs are co-expressed with ORco remains unclear.

The Oriental tobacco budworm, Helicoverpa assulta, is a serious crop pest with a narrow host plant range which includes only Solanaceae such as tobacco, hot pepper, and several Physalis species (Wang et al., 2004). Previous antennae transcriptome studies showed that more than 60 ORs were expressed in the antennae of H. assulta (Xu et al., 2015; Zhang et al., 2015). The function of the pheromone receptors and several ORs responding to plant volatiles were characterized (Cao et al., 2016; Wu et al., 2019; Yang et al., 2017). To determine whether any ORs were expressed in the ovipositor, we sequenced the transcriptome of the pheromone gland-ovipositor complex and found one OR with a very high expression level. Next, we functionally analyzed the response spectra of this OR to a wide range of host plant-related odorants using the Xenopus oocyte expression system and two-electrode voltage-clamp recording. In situ hybridization, scanning electron microscopy and electrophysiology studies indicated that this OR is expressed in some multiporous sensilla on the moth ovipositor. Together with the results of oviposition experiments, we suggest that the OR expressed in the ovipositor helps H. assulta females to find precise egg-laying sites on their host plants.

Results

Transcriptome sequencing and identification of chemosensory receptors in pheromone gland - ovipositor of Helicoverpa assulta

We conducted next-generation transcriptome sequencing analyses using a cDNA library constructed from pheromone gland-ovipositors (PG-OVs) of female H. assulta using the Illumina HiSeq 2000 platform. We downloaded amino acid sequences of odorant receptors, gustatory receptors, antennal ionotropic receptors, ionotropic glutamate receptors, odorant binding proteins, chemosensory proteins, general odorant binding proteins, pheromone binding proteins and sensory neuron membrane proteins of H. assulta and H. armigera from NCBI to construct a local database (Liu et al., 2014; Liu et al., 2018; Tillman et al., 1999; Xu et al., 2015; Zhang et al., 2015), and then performed a BlastX search against this database to identify the cDNA sequences of chemosensory receptors from the transcriptome. The transcripts of 22 ORs, 6 GRs, 13 IRs, and 9 iGluRs were detected (Figure 1A). Figure 1—figure supplement 1 and Supplementary file 1 shows the identified putative chemosensory related genes expressed in PG-OVs and their values of TPM (Transcripts Per Kilobase of exon per Million mapped reads). HassOR31 and HassiGluR7 had approximately the same TPM value which was the highest among those of all the chemosensory receptor genes. Most crucially, HassORco was also detected but its TPM value was much lower than that of HassOR31.

Figure 1 with 1 supplement see all
Gene expression of HassOR31 in different tissues of H. assulta.

(A) Tissue expression profiles of putative chemosensory receptor genes identified in the pheromone gland-ovipositor complex (PG-OV) of H. assulta. (B) TPM values of HassOR31 and HassORco in different tissues. Ant, antennae; Proboscis, mixed female and male proboscis; Forelegs, mixed female and male forelegs. (C) qRT-PCR results of HassOR31 and HassORco in different tissues relative to housekeeping gene 18S. Tho, thorax; Abd, abdomen.

Tissue expression pattern of HassOR31

Therefore, we further analyzed the tissue expression profiles of HassOR31 and HassORco by qRT-PCR. The qRT-PCR results indicated that HassOR31 had the highest expression level in PG-OV, which was 7 times higher than that in female antennae and 15 times higher than that in male antennae. HassORco was also expressed in PG-OV, but the expression level was much lower than that in the antennae of both sexes (Figure 1C). In PG-OV, when Ct value of Hass18S was 20.41, the Ct values of HassOR31 and HassORco were 23.18, 28.78, respectively. These results were in line with the RNA-seq data (Figure 1B).

Localization of HassOR31 and HassORco in the ovipositor

To further determine which cells were expressing HassOR31 and HassORco in the ovipositor, two-color double in situ hybridization experiments were performed with Dig-labeled HassOR31 and Bio-labeled HassORco. In some cases, HassOR31 and HassORco were co-expressed within the cells beneath certain sensilla with a large size (Figure 2A, Figure 2—figure supplement 1, Video 1), while in most cases HassOR31 was expressed alone in the cells beneath small hairs, but a few in the cells of sensilla with a large size (Figure 2B and C, Figure 2—figure supplement 1, Video 1), which is consistent with the high expression of HassOR31 and the low expression of HassORco in PG-OV of H. assulta.

Figure 2 with 1 supplement see all
Localization of HassOR31 and HassORco expression in cells of H. assulta ovipositors.

Double-FISH with female ovipositors using combinations of labeled OR probes and visualization of cells bearing distinct HassOR31 transcripts by red (DIG) (A1, B1, C1) and HassORco transcripts by green (biotin) (A2, B2, C2) fluorescence, respectively. Co-labelling of cells by both OR probes appear as yellow/orange color in the overlay of the red and green fluorescence channels (A3, B3, C3). Bright-field images are presented as references (A4, B4, C4). Arrows indicate the cell location. Scale bars: 10 µm. (A1-3) The HassOR31 and HassORco probes label the same cell. (B1-3, C1-3) Only the HassOR31 probe is detected. Scale bars: 10 μm.

Video 1
Z-stack video of two-color in situ hybridization visualizing the combinations of HassOR31 (red) and HassORco (green) in the ovipositor of H. assulta.

White arrows indicate the cells only expressing HassOR31, and yellow arrow the cell co-expressing HassOR31 and HassORco.

Functional analysis of HassOR31 by Xenopus laevis oocytes

A Xenopus oocyte expression system with two-electrode voltage-clamp recording was used to characterize the function of HassOR31. A panel of 51 chemicals with behavioral or electrophysiological activities to Helicoverpa species as listed in Supplementary file 3 were used to screen the ligands of HassOR31 (Di et al., 2017). They were classified into four categories, green leaf volatiles (GLVs), terpenoids, aromatics, and aliphatics. The oocytes containing co-expressed HassOR31/HassORco were tuned to 12 odorants, including Z-3-hexenyl-butyrate, myrcene, citral, and Z-3-hexenyl acetate, with Z-3-hexenyl-butyrate as the most effective ligand (Figure 3A,B). The oocytes in which only HassOR31 was expressed had no positive responses to these odorants. Since HassiGluR7 had a high expression level comparable to HassOR31 in the pheromone gland - ovipositor, we also co-expressed HassOR31 and HassiGluR7 in the oocytes, but no positive responses were detected (Figure 3A).

Functional analyses of chemosensory receptors in Xenopus oocytes.

(A) Inward current responses of Xenopus oocytes with expressed HassOR31/HassORco, HassOR31 alone, or HassOR31/HassiGluR7 in response to odorants (10−4 M solution). Odorants were applied for 8 s at times indicated by arrowheads; (B) Odorant-response spectra of Xenopus oocytes with expressed HassOR31/HassORco. Responses were measured as induced inward currents, expressed in nA. Error bars show standard error of the mean (n = 3–5), columns with different letters are significantly different at p<0.05 (One-way ANOVA followed by post hoc analysis with Turkey test); (C) Dose responses of Xenopus oocytes with expressed HassOR31/HassORco to the most effective ligand Z-3-hexenyl butyrate (n = 4), The EC50 value for Z-3-hexenyl butyrate was 1.606 × 10–5 M.

Scanning electron micrographs (SEM) of the ovipositor of H. assulta and its associated sensilla

To further determine the putative chemosensory sensilla which may bury HassOR31/HassORco on the ovipositor of H. assulta, we examined the surface of the anal papillae using scanning electron micrography (Figure 4), and found four types of sensilla (Figure 4A,B). The first type is long sensilla with smooth non-porous surfaces, sharp tips and raised sockets, which may have a potential function in mechanosensation (Figure 4C,D). The second type is shorter sensilla with non-porous surfaces and sunken sockets, which may also have a mechanical function (Figure 4E,F). The third type sensilla is of similar length with the second type. It is morphologically like trichoid sensilla in the antennae, with pores on the surface and a single pore at the tip (Figure 4G,H), and therefore may have a function in olfaction and/or taste. They are mainly distributed on the middle part of the ovipositor. Finally, the fourth type sensilla are morphologically similar to basiconic sensilla in the antennae, with pores on the surface and a large pore at the tip and may also have a function in olfaction and/or taste (Figure 4I,J). They are located near the ovipore and five to seven of them are distributed on each papilla. Moreover, the papillae are covered with short, poreless microtrichia.

Scanning electron micrographs (SEM) of the ovipositor of H. assulta and its associated sensilla.

(A) An overview of the extended tip of the ovipositor of H. assulta, which contains two anal papillae surrounding the ovipore. (B) Details of the papilla close to the ovipore. There are four types of sensilla distributed on each papilla: Type I (C), putative mechanical sensilla widely distributed on the papilla, with raised pocket-like bases and a smooth surface (D); Type II (E), putative mechanical sensilla with sockets, showing flexible areas and non-porous surfaces (F); Type III (G), putative olfactory/taste sensilla shorter than Type I sensilla and morphologically similar to the trichoid on antennae, with pores on both the surface and the tip (H); Type IV (I), putative olfactory/taste sensilla located near the ovipore and morphologically similar to the basiconic sensilla, with pores on the surface and a large terminal pore (J).

Single sensillum recordings (SSR) of putative chemosensory sensilla

We determined whether these identified putative chemosensory sensilla served an olfactory function using single sensillum recordings. Seventeen odorants, including the major ligands of HassOR31/HassORco and sex pheromone components of H. assulta, were used as stimuli (Supplementary file 3). Most tested sensilla showed baseline spiking activity, several sensilla responded to the tested odorants (Figure 5A). Z-3-Hexenyl-butyrate, the most effective ligand of HassOR31/HassORco, gave a dose-dependent response curve (Figure 5B,C).

Single sensillum recordings (SSR) of putative chemosensory sensilla in an H. assulta ovipositor.

(A) The firing rate of a putative chemosensory sensilla to several plant volatile and sex pheromone components. Chemicals with * induced significantly electrophysiological responses at p<0.05 relative to PO (paraffin oil) (One-way ANOVA followed by post hoc analysis with Turkey test, n = 3–4; Z-3-Hexenyl butyrate, p=0.0224). (B) The exemplary recordings of electrophysiological activities in a putative chemosensory sensilla to different load doses (1 µg, 10 µg, 100 µg and 1000 µg) of Z-3-hexenyl butyrate. (C) SSR dose responses of putative chemosensory sensilla to Z-3-hexenyl butyrate (n = 5), EC50 = 86.50 μg.

Oviposition preference of H. assulta female

Based on the above results, we hypothesize that the ovipositor may play a role in oviposition site detection of H. assulta female. To verify this, we designed two oviposition choice tests (Figure 6—figure supplement 1). Intact, mated females preferred to lay eggs on the areas of gauze exposed to host plant volatiles (n = 7; p=0.0008) (Figure 6A). The closer to the odor source, the higher the density of eggs on the gauze (Figure 6—figure supplement 1). Mated females whose antennae had been removed showed a reduced, but still significant preference for oviposition on volatile-treated areas (n = 7; p=0.0088) (Figure 6A, Figure 6B). Intact (n = 5; p=0.0053) and antennectomized (n = 5; p=0.0149) females both preferred to lay eggs on Z-3-hexenyl butyrate treated fake leaves (Figure 6C), while they showed no significant difference on the oviposition preference index (Figure 6D).

Figure 6 with 1 supplement see all
Oviposition preference of the antennae amputated and intact mated females of H. assulta.

(A) Number of eggs on the hot pepper treated gauze and control gauze. Two and three asterisks indicate significant difference (p<0.01 and p<0.001, paired t test). (B) Oviposition preference index between the hot pepper treated gauze and control gauze. Three asterisks indicate significant difference (p<0.001, unpaired t test). (C) Number of eggs on the Z-3-hexenyl butyrate treated fake leaves and control fake leaves. One and two asterisks indicate significant difference (p<0.05 and p<0.01, paired t test). (D) The oviposition preference index between the Z-3-hexenyl butyrate treated fake leaves and control fake leaves. NS indicates no significant difference (p>0.05, unpaired t test). All experiments were carried out with five to seven biological replications, with 10–15 mated female moths used in each replicate.

Discussion

We successfully identified a functional OR expressed highly in PG-OV of H. assulta for the first time. The expression level of HassOR31 in PG-OV was about five times higher than that in antennae of both females and males. HassOR31 and HassORco were co-expressed beneath certain sensilla in the ovipositor. Xenopus oocytes containing expressed HassOR31/HassORco responded to twelve GLV and terpenoid compounds, which also elicited electrophysiological responses from some ovipositor sensilla. Finally, behavioral tests showed that besides the antennae, the ovipositor could be also involved in detecting plant volatiles and played a role in oviposition site selection of H. assulta.

The function of HassOR31 expressed in the ovipositor

HassOR31 was relatively widely tuned to a spectrum of plant volatiles. The twelve GLV and terpenoid compounds are widely present in leaves, flowers, and fruits of plants, and are strongly attractive to herbivorous insects (Gregg et al., 2010). The ortholog of HassOR31, HarmOR31, has a similar wide spectrum in polyphagous Helicoverpa armigera (Di et al., 2017). Nevertheless, the most effective ligand of HassOR31 was Z-3-hexenyl butyrate while that of HarmOR31 was myrcene. The expression levels of the two orthologs in the ovipositors of the two species were also different: HassOR31 was highly expressed while HarmOR31 was poorly expressed (Supplementary file 1). This may have significance in the divergence of the host plant range between the two closely related species: H. assulta is a specialist on hot pepper, tobacco, and some Physalis plants in Solanaceae, while H. armigera is a typical generalist with a host plant range of over 300 species belonging to 68 plant families (Pearce et al., 2017; Sun et al., 2012; Wang et al., 2004).

As a specialist, H. assulta lays their eggs singly, preferably on or near the flowering or fruiting parts of these host plants (Sun et al., 2012; Wu, 1990). The headspace collections of tobacco flowers were analyzed by GC-MS and GC-EAD previously. Tobacco flowers release volatiles including E-β-ocimene, Z-3-hexenyl acetate, nonanal, Z-3-hexenyl 2-methyl butyrate, linalool, and Z-3-hexenyl butyrate, and blends of them are attractive to H. assulta females (Sun et al., 2012). Most odorants in the response spectrum of HassOR31/HassORco can be detected in headspace collections from tobacco.

As a general plant volatile and most effective ligand of HassOR31, Z-3-hexenyl butyrate is released by many plant fruits and has a green, fruity, and somewhat buttery aroma. It is also present in the headspace collections of tobacco flowers (Sun et al., 2012) and hot pepper fruits (Forero et al., 2009). Therefore, Z-3-hexenyl butyrate is very likely to be used by females of H. assulta as a signal for choosing oviposition sites rather than a signal for searching host plants. The behavioral assay with hot pepper volatiles (a complex cue) showed that antennectomized females still preferred to oviposit on sites treated with hot pepper volatiles, but their oviposition preference index was significantly decreased. Another behavioral assay with Z-3-hexenyl butyrate showed that antennectomized and normal females both prefer to lay eggs on the sites treated with the ligand for the receptor in the ovipositor but had no significant difference in oviposition preference index. These results suggest that detecting host volatile blends in general oviposition is governed by both antennae and ovipositor but detecting for Z-3-hexenyl butyrate seems to be mainly governed by the ovipositor. The expression levels of HassOR31 and other ORs expressed in the ovipositor and antennae may explain such behavioral responses. We speculate that a gravid female moth takes two steps to find an oviposition site: firstly, she smells the plant volatiles mainly by using antennae to search for a host plant, and secondly when she comes near to or land on the host plant, she integrates the information from olfactory sensilla as well as mechanical and contact chemosensory sensilla on the ovipositor to determine the precise oviposition sites on the host plants. Z-3-hexenyl butyrate and other ligand compounds of HassOR31 are expected to play a major role in the second step.

Large difference in expression of HassOR31 and HassORco in the ovipositor

It is believed that ORs cannot function in the absence of ORco (Sato et al., 2008). Recent Cryo-EM structure of the insect olfactory receptor ORco supports a model in which ORco and OR subunits assemble into a heterotetramer with a central shared ion-conduction pathway (Butterwick et al., 2018). One unresolved question from this study relates to the large difference in expression levels between HassOR31 and HassORco in the ovipositor. We first assumed that HassOR31 played a role alone without HassORco. To test this idea, we injected HassOR31 cRNA alone into the Xenopus oocytes and found that oocytes expressing HassOR31 alone had no response to the tested compounds. We then hypothesized that some co-receptor-like proteins might replace HassORco to function in cooperation with HassOR31. In addition to HassOR31, the ionotropic glutamate receptor, HassiGluR7, was also highly expressed in the ovipositors of H. assulta and had a similar tissue expression pattern to HassOR31. To test if these two receptors function together, we co-expressed HassOR31 and HassiGluR7 in Xenopus oocytes, but no response was detected.

In the electrophysiological experiments, we discovered only a few sensilla on the ovipositor that responded to Z-3-hexenyl butyrate, the most effective ligand of HassOR31/HassORco, which explains the low expression of HassORco in the ovipositor. However, it does not explain the presence of high expression levels of redundant HassOR31. We speculate that in addition to cooperating with HassORco and functioning in olfactory sensation, HassOR31 might function in mediating cell responses to endogenous signaling molecules, regulating neural development, or play other non-chemosensory roles. The similar situation is also found in testes of A. gambiae, where some AgORs are abundantly expressed, but AgORco transcript is present at a very low level. It is proved that the AgORs and AgORco are localized to the flagella of A. gambiae spermatozoa where Orco-specific agonists, antagonists, and other odorant ligands robustly activate flagella beating in an Orco-dependent process (Pitts et al., 2014). Studies on mammals have found that many ORs are present in tissues outside the olfactory system and have diverse functions in several physiological contexts beyond odor recognition (Wu et al., 2017). For example, a human testicular OR, hOR17-4 was found to control cellular motility and chemotaxis in sperm cells (Spehr et al., 2003).

In addition to the ORs, we also found some GRs and IRs present in the ovipositors of H. assulta. The expression of HassGR9, the ortholog of fructose receptor HarmGR4 (Jiang et al., 2015), suggests that sugar taste sensilla are also present in the ovipositor of H. assulta. Sugar taste sensilla have also been found on the ovipositor of cotton leaf worm Spodoptera littoralis (Seada et al., 2016). The co-receptors of IR families (HassIR8a, HassIR25a) were also expressed, indicating that IRs may also play chemosensory roles in the ovipositor. There is no evidence in the literature of any ionotropic glutamate receptor other than antennal IRs involved in the chemical sensation of insects.

The features of chemosensory sensilla on the ovipositor

Previous morphology and electrophysiology studies shown that there were various types of sensilla including mechanical, contact chemosensory, and putative olfactory sensilla distributed on the ovipositor of lepidopteran insects (Faucheux, 1991; Klijnstra and Roessingh, 1986; Maher and Thiery, 2004; Seada et al., 2016; Waladde, 1983; Yamaoka et al., 1971). On H. assulta ovipositors we identified two types of chemosensory sensilla with shapes similar to the trichoid and basiconic sensilla on the antenna, respectively. However, unlike traditional olfactory sensilla, these multiporous sensilla also have a large terminal pore, which is characteristic of contact chemosensory sensilla. Therefore, we infer that these two types of sensilla may perform both olfactory and taste functions. The electrophysiological results indicated that some sensilla on the ovipositor responded to the tested odorants though their firing frequency was lower than that on the antennae. A 100-microgram equivalent of the tested compound stimulated around 20 spikes per second. The putative olfactory sensilla identified in the ovipositor of M. sexta have similar characteristics (Klinner et al., 2016).

In summary, this was the first study to functionally characterize an OR, HassOR31, expressed in H. assulta ovipositors. We also characterized sensilla related to the ovipositor OR with a supplemental function to antennal olfactory sensilla. These sensilla were involved in detecting GLV and terpenoid compounds in host plants, and most likely played a role in oviposition site selection of this oligophagous herbivore. Future researches should focus on knocking out HassOR31 or destroying the related sensilla in the ovipositor and then measuring how insect behaviors are affected. The CRISPR-Cas9 genome editing method provides a good opportunity for us to knock out HassOR31 to verify its function. Moreover, the pathway of OSN-expressed HassOR31/HassORco projecting into the terminal abdominal ganglion and the function of superfluous HassOR31 in the ovipositor also require further investigation.

Materials and methods

Key resources table
Reagent type
(species) or
resource
DesignationSource or
reference
IdentifiersAdditional
information
Gene (Helicoverpa assulta)18S ribosomal RNA geneNCBIGenBank: EU057177.1
Commercial assay, kitRNeasy Plus Universal Mini KitQiagenCat# 73404
Commercial assay, kitDynabeads mRNA purification kitInvitrogenCat# 61006
Commercial assay, kitQ5 High-Fidelity DNA PolymeraseNEBCat# M0491
Commercial assay, kitM-MLV reverse transcriptasePromegaCat# M1701
Commercial assay, kitSYBR Premix Ex TaqIITakaraCat# RR820
Commercial assay, kitT7/SP6 RNA transcription systemRocheCat# 10999644001
Commercial assay, kitmMESSAGE mMACHINE SP6AmbionCat# AM1340
Software, algorithmTrimmomaticTrimmomaticRRID:SCR_011848
Software, algorithmFastQCFastQCRRID:SCR_014583
Software, algorithmTrinityTrinityRRID:SCR_013048
Software, algorithmRSEMRSEMRRID:SCR_013027
Software, algorithmGraphPad PrismGraphPad PrismRRID:SCR_0027987.0
Software, algorithmZEN Digital Imaging for Light MicroscopyZEN Digital Imaging for Light MicroscopyRRID:SCR_0136722012
Software, algorithmAdobe IllustratorAdobe systemsRRID:SCR_014198CS6
Software, algorithmpCLAMP softwarepCLAMP softwareRRID:SCR_011323

Animal rearing

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H. assulta were originally collected as larvae in tobacco fields in Zhengzhou, Henan Province, China, and successive generations were maintained in the laboratory under a 16 L: 8 D photoperiod cycle at 26 ± 1°C and 55–65% relative humidity. The larvae were reared on an artificial diet mainly constituted of wheat germ, yeast, and chili. Pupae were sexed, and males and females were put into separate cages for eclosion. After emergence, moths were fed with 10% honey in water. Two- to three-day old virgin females were used in the experiments.

Xenopus laevis frogs were kindly provided by Prof. Qinghua Tao’s laboratory in School of Life Sciences, Tsinghua University, Beijing, China, and reared with pig livers as food in our laboratory at 20 ± 1°C. Xenopus laevis were anesthetized by submersion in frozen water, and the oocytes were surgically collected before the related experiments. All procedures were approved by the Animal Care and Use Committee of the Institute of Zoology, Chinese Academy of Sciences for the care and use of laboratory animals.

Transcriptome sequencing and gene identification

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One hundred PG-OVs were dissected from virgin female H. assulta during the 5th-8th hour of the scotophase and stored in −80°C freezer until RNA extraction. Total RNA was isolated using RNeasy Plus Universal Mini Kit (Qiagen, Hilden, Germany), in which genomic DNA was removed by gDNA Eliminator. RNA concentration was determined using an ND-2000 spectrophotometer (Nanodrop, Wilmington, DE, USA). RNA integrity was verified on Agilent 2100 BioAnalyzer (Agilent, USA), and mRNA was isolated by magnetic beads with Oligo (dT) from ten µg of total RNA using Dynabeads mRNA purification kit (Invitrogen, USA). In the next step, paired-end RNA-seq libraries were prepared by following Illumina’s library construction protocol. The libraries were sequenced on Illumina HiSeq2000 platform (Illumina, USA) in the Beijing Institutes of Biological Sciences, Chinese Academy of Sciences. FASTQ files of raw-reads were produced and sorted by barcodes for further analysis.

Prior to assembly, 2 × 100 bp paired-end raw reads from each cDNA library were processed to remove adaptors, low quality sequences (Q < 20), and reads contaminated with microbes using Trimmomatic package (Bolger et al., 2014). The FastQC package was used to verify the quality of resulting trimmed and filtered reads. The clean reads were de novo assembled to produce contigs using Grabherr et al., 2011 (https://github.com/trinityrnaseq/trinityrnaseq/), the short reads assembling program using default parameters.

We downloaded amino acid sequences of ORs of H. armigera from NCBI (https://www.ncbi.nlm.nih.gov/) to construct local database. We then used BlastX with an E-value cut-off of 1e-5 to search the database to identify putative OR transcripts from the transcriptome we sequenced. To evaluate transcript expression abundances, the RSEM (Li et al., 2017ahttp://deweylab.github.io/RSEM/) package was applied for calculation of the normalized gene expression value FPKM and TPM.

We also sequenced transcriptomes of H. assulta’s male antennae, female antennae, proboscis, and forelegs. The clean reads from the above libraries were assembled with H. assulta’s pheromone gland-ovipositor transcriptome as described in Li et al., 2017b. FPKM and TPM values of all candidate genes from the different tissues were calculated to indicate the tissue abundance distribution of identified genes.

Sequence verification of identified genes from transcriptome sequencing

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PCR sequencing was used to verify authentication of the identified genes. PCR experiments were conducted in a 25 µL reaction system with Q5 High-Fidelity DNA Polymerase (NEB) by using a thermal cycler. The thermal cycling conditions were set as follows: 98°C for 30 s; 30 cycles of 98°C for 10 s, 50°C for 30 s, and 72°C for 90 s; and 72°C for 2 min. PCR products were analyzed on 1.2% agarose gels and then verified by DNA sequencing. Primers for expression analysis were designed according to the sequencing results.

Expression analyses

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To illustrate and compare the expression of HassOR31 in different tissues and organs, semi-quantitative reverse transcription PCR (RT-PCR) and real-time quantitative PCR (qRT-PCR) were conducted. Male antennae, female antennae, female head without antennae, female thorax, female abdomen, female legs, female wings, and pheromone gland–ovipositor were separately collected from 3 to 100 individuals, depending on the size of the organ, and then stored at −80°C. Total RNA was isolated as described above. cDNA was synthesized with M-MLV reverse transcriptase (Promega, Madison, WI, USA) from the total RNA.

The synthesized cDNA was used as a template in RT-PCR reactions with gene-specific primers. PCR was performed under the following conditions: 94°C for 3 min, 30 cycles of 94°C for 30 s, 57°C for 30 s, 72°C for 30 s, and 72°C for 5 min. PCR amplification products were run on a 1.2% agarose gel and verified by DNA sequencing. An actin gene fragment was used as the reference to adjust the initial amount of cDNA used in the PCR procedure.

qRT-PCR was conducted using Mx3005P qPCR System (Agilent Technologies, CA, USA). All reactions were performed in triplicate in a total volume of 20 µL containing 10 µL SYBR Premix Ex TaqII (TaKaRa, Otsu, Japan) and 0.4 mM of each primer under the following conditions: 95°C for 30 s followed by 40 cycles of 95°C for 5 s, 60°C for 34 s, and 72°C for 30 s, 1 cycle 95°C for 15 s, 60°C for 1 min, 95°C for 15 s. Expression levels of all detected genes were calculated using the 2-ΔCt method, with 18S gene transcript as an internal control for sample normalization. All experiments were repeated three times using three independent RNA samples. The primer sequences are listed in Supplementary file 2.

In situ hybridization

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Two-color double in situ hybridizations were performed following protocols reported previously (Ning et al., 2016). Primers were designed to synthesize the gene-specific probe sequences from an open reading frame (Supplementary file 2). The product sizes of HassOR31 and HassORco were 846 and 834 nucleotides, respectively. Both digoxin (Dig)-labeled HassOR31 probe and biotin (Bio)-labeled HassORco probe were synthesized with DIG RNA labeling kit version 12 (SP6/T7) (Roche, Mannheim, Germany), with Dig-NTP or Bio-NTP (Roche, Mannheim, Germany) labeling mixture, respectively. Antisense and sense probes were generated from linearized recombinant pGEM-T vector using the T7/SP6 RNA transcription system (Roche, Basel, Switzerland) following recommended protocols. RNA probes were subsequently fragmented to an average length of about 300 bp by incubation in carbonate buffer.

Ovipositors were dissected from three-day-old female moths, embedded in JUNG tissue freezing medium (Leica, Nussloch, Germany) and frozen at −80°C until use. Sections (12 µm) of ovipositors were then mounted on SuperFrost Plus slides (Boster, Wuhan, China). After a series of fixing and washing procedures, 100 µL hybridization solution (Boster, Wuhan, China) containing both Dig and Bio probes was placed onto the tissue sections. After adding a coverslip, slides were incubated in a humid box at 55°C overnight. After hybridization, slides were washed twice for 30 min in 0.1 × saline sodium citrate (SSC) at 60°C, treated with 1% blocking reagent (Roche) in TBST for 30 min at room temperature, and then incubated for 60 min with anti-digoxigenin (Roche, Mannheim, Germany) and Streptavidin-HRP (PerkinElmer, Boston, USA). Visualization of hybridization signals was performed by incubating the sections first for 30 min with HNPP/Fast Red (Roche, Mannheim, Germany), followed by three 5 min washes in TBS, with 0.05% Tween-20 (Tianma, Beijing, China) at room temperature with agitation. Then sections were incubated with Biotinyl Tyramide Working Solution for 8 min at room temperature followed by the TSA kit protocols (PerkinElmer, USA). Sections were then washed three more times for 5 min each in TBS with 0.05% Tween-20 at room temperature with agitation. Finally, sections were mounted in Antifade Mounting Medium (Beyotime, Beijing, China). Images were taken using a Carl Zeiss LSM710 confocal microscope (Zeiss, Oberkochen, Germany) and processed using ZEN 2012 software. Adobe Illustrator (Adobe systems, San Jose, CA) was used to arrange figures and the images were only altered to adjust the brightness or contrast.

Functional analysis of HassOR31

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We expressed full length coding sequences of HassOR31/HassORco, HassOR31, HassOR31/HassiGluR7 in X. laevis oocytes and analyzed the oocytes using two-electrode voltage clamping, as previously described (Jiang et al., 2014). Oocytes were challenged with 51 chemicals with a concentration of 10−4 M, including host plant volatile compounds and two principal sex pheromone components (listed in Supplementary file 3). Two-electrode voltage clamping was used to detect the whole cell current.

Total RNA and cDNA of ovipositors were obtained as described above. To obtain the full-length coding sequences, PCR was carried out using gene-specific primers with Kozak consensus sequence and Restriction Enzyme cutting site based on the mRNA sequences of HassOR31, HassORco, and HassiGluR7. The primer sequences are provided in Supplementary file 2. The PCR program included initial denaturation at 94°C for 2 min, followed by 35 cycles of 30 s at 94°C, 30 s at 55°C, 90 s at 72°C; and a final extension step of 8 min at 72°C. Then, the coding sequences of HassOR31, HassORco, and HassiGluR7 were cloned into pGEM-T easy vector (Promega, Madison, WI, USA), then subcloned into pCS2+ vector. The pCS2+ vectors were linearized by using NotI (Takara Shuzo, Shiga, Japan), cRNAs were synthesized from the linearized pCS2+ vectors with mMESSAGE mMACHINE SP6 (Ambion, Austin, TX, USA). The cRNAs were dissolved in RNase-free water and stored at −80°C.

Mature, healthy oocytes were treated with 2 mg/mL of collagenase type I (Sigma-Aldrich) in Ca2+-free saline solution (82.5 mM NaCl, 2 mM KCl, 1 mM MgCl2, and 5 mM HEPES, pH 7.5) for 1–2 hr at room temperature. Each oocyte was microinjected with 23.6 nL (50 ng) of the mixture of HassOR31 and HassORco (or HassiGluR7) cRNA at a ratio of 1:1 or HassOR31 cRNA alone. Oocytes injected with RNAase-free water was used as a negative control. Injected oocytes were incubated for 3–4 days at 17°C in the bath solution (96 mM NaCl, 2 mM KCl, 1 mM MgCl2, 1.8 mM CaCl2, and 5 mM HEPES, pH 7.5) supplemented with 100 µg/mL gentamycin and 550 µg/mL sodium pyruvate.

Whole-cell currents were recorded with a two-electrode voltage clamp. Intracellular glass electrodes were filled with 3 M KCl and presented resistances of 0.2–2.0 MΩ. Signals were amplified with an OC-725C amplifier (Warner Instruments, Hamden, CT, USA) at a holding potential of −80 mV, low-pass filtered at 50 Hz and digitized at 1 kHz. Sodium bicarbonate (NaHCO3) was diluted in Ringer’s solution before being introduced to the oocyte recording chamber using a perfusion system. Data acquisition and analysis were carried out with Digidata 1322A and pCLAMP software (Axon Instruments Inc, Foster City, CA, USA). Dose-response data were analyzed using GraphPad Prism 7.

Scanning electron micrographs

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The ovipositors of H. assulta were carefully dissected and placed into phosphate buffer (PBS, 0.1 M, pH = 7.2) containing 2.5% glutaraldehyde and fixed at 4°C for 4 hr. They were then flushed in PBS buffer three times for 10 min each time. The ovipositors were placed in increasing gradient ethanol solutions for dehydration. The ethanol concentrations were 10%, 30%, 50%, 70%, 90%, and 100%, respectively. For each concentration, the ovipositors were rinsed for 30 min. Then, they were ultrasonically cleaned in 100% ethanol for 20 s. Then the ovipositors were treated in isoamyl acetate for 30 min. All the samples were dried using a CO2 critical point dryer (model HCP-2, Hitachi, Tokyo, Japan). The dried samples were stuck to the sample stage in different orientations. The samples were coated with gold using a Hitachi Sputter Ionizer (model S-4800, Hitachi) for 60–90 s. Finally, the samples were photographed using a Hitachi S-4800 scanning electron microscope.

Single sensillum recording

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A single moth was placed into a 1 mL Eppendorf pipette tip with the narrow end cut off. The moth was gently pushed until its abdomen protruded from the cut end. The ovipositor was extended by gently pressing onto the abdomen, then fixed with dental wax and wrapped tightly with Parafilm. The reference electrode was inserted into the abdomen of the insect, and the sharpened tungsten recording electrode was inserted into the base of the sensilla housed in the ovipositor (Video 2). The recorded signals were then amplified through an IDAC interface amplifier (IDAC-4, Syntech, Germany). The software Autospike (Syntech, Germany) was used to store and analyze data.

Video 2
An exemplary SSR experiment video.

A continuous stream of purified and humidified air was directed onto the ovipositor (12.5 mL/s) from the outlet of a steel tube (i.d. 6 mm, length 15 cm), positioned 1 cm from the ovipositor. Test odorants were injected into the air stream using a stimulus flow controller (CS-55, Syntech, Germany), which generated 200 ms air pulses through the odor cartridge at a flow rate of 10 mL/s, while a compensating air flow was provided to keep a constant current. The odorants supplied during single sensillum recordings are listed in Supplementary file 3. All odorants were diluted to a final concentration of 10 µg/µL (1% w/v) in mineral oil. Ten µL of the diluted odors were pipetted onto a small piece of filter paper (2.5 cm ×0.7 cm) and placed inside a glass Pasteur pipette.

Oviposition choice test

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Newly emerged female and male moths were mixed at a sex ratio of 1:1.3 in 26 cm ×26 cm × 26 cm cubic cages covered with gauze for 3 days to ensure the female moths were fully mated, and then the mated female moths were randomly separated into two groups. One group of insects had their antennae removed just before the experiments, and another group of insects were kept as intact females. Two choice tests were performed.

Choice test 1: Ten females from each group were put into a cylinder cage (diameter 24 cm, height 26 cm). Only the top side of the cage was covered with gauze for females to lay eggs, and all the other sides were covered with black cloth. The gauze side was equally divided into four areas. From the beginning of the scotophase, two fresh hot pepper fruit discs of 1.5 cm diameter were positioned above each of two opposite areas of the gauze, and no pepper discs were put above the other two areas. The pepper discs were supported by a stainless net shelf to avoid the moths inside the cage directly contacting the pepper (Figure 6—figure supplement 1A). After 24 hr the number of eggs on each section of gauze was counted. After counting, the gauze was replaced by a new one. The number of eggs laid on each part of the gauze were counted every day for 4 days and the mean number of eggs was calculated. Seven replications were run.

Choice test 2: Oviposition preference of female H. assulta to Z-3-hexenyl butyrate was performed in screened cages (1m × 1 m×1 m) as described in Wu et al., 2019, fifteen females from each group were put into each cage. In each cage, four fake green plants were respectively placed at the four corners. Two fake plants treated with Z-3-hexenyl butyrate were put in one diagonal, and the other two fake plants with paraffin oil were put in the other diagonal and used as control. Z-3-Hexenyl butyrate were dissolved in paraffin oil and then dropped into a rubber head, which was placed on the leaf of the fake plant (Figure 6—figure supplement 1B). The dosage of Z-3-hexenyl butyrate used in the experiment was 100 μg. The number of eggs laid on each fake leaf in 48 hr were counted. The oviposition preference index was calculated as (T−C)/(T+C). T is the number of eggs on the leaves with Z-3-hexenyl butyrate, and C is the number of eggs on the leaves with paraffin oil. Five replications were run.

Data analysis

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Electrophysiological response values (currents and spikes per second) are indicated as mean ± SEM. One-way ANOVA and Turkey’s multiple comparisons test were used to compare the responses of HassOR31/HassORco to different tested compounds and single sensillum recording data. Paired t tests were performed to analyze numbers of eggs in oviposition choice tests. When comparing oviposition preference indexes, we used unpaired t tests and differences were considered significant when p<0.05. All data were analyzed using the GraphPad Prism version 7.00 for Mac OS X, GraphPad Software, La Jolla California USA, www.graphpad.com.

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Decision letter

  1. Marcel Dicke
    Reviewing Editor; Wageningen University, Netherlands
  2. Christian Rutz
    Senior Editor; University of St Andrews, United Kingdom
  3. Markus Knaden
    Reviewer; Max Planck Institute for Chemical Ecology, Germany
  4. Leslie Voshall
    Reviewer; The Rockefeller University, United States

In the interests of transparency, eLife publishes the most substantive revision requests and the accompanying author responses.

Acceptance summary:

The manuscript provides a detailed and innovative view of how Helicoverpa assulta perceives plant volatiles with an odorant receptor on the ovipositor. The pictures on egg distribution are a valuable addition, and the new text nicely clarifies the last few issues raised by the reviewer.

Decision letter after peer review:

Thank you for submitting your article "A highly expressed odorant receptor in the ovipositor of a moth is involved in detecting host-plant volatiles" for consideration by eLife. Your article has been reviewed by three peer reviewers, one of whom is a member of our Board of Reviewing Editors, and the evaluation has been overseen by Ian Baldwin as the Senior Editor. The following individuals involved in review of your submission have agreed to reveal their identity: Markus Knaden (Reviewer #2); Leslie Voshall (Reviewer #3).

The reviewers have discussed the reviews with one another and the Reviewing Editor has drafted this decision to help you prepare a revised submission.

Your manuscript provides extensive data on an odorant receptor (OR) present in the ovipositor/pheromone gland complex of the moth Helicoverpa assulta. The study shows that there is one OR that is higher expressed in the olfactory receptor ovipositor/pheromone gland complex than in the antennae of the insect. Yet, the antennae are the best known organs involved in olfaction by moths and many other insects. This yields an intriguing question, i.e. on the involvement of this OR in oviposition decisions by the moths. By expressing the odorant receptor and its co-receptor in a Xenopusoocyte model system, 12 plant odours are identified that yield a response. Finally, by electrophysiological analyses and by investigating oviposition behaviour of the moths with intact antennae or after removal of the antennae you provide evidence supporting the role of the odorant receptor in the ovipositor/pheromone gland complex in odour perception and in behavioural decisions of the animals.

The most important criticism is that the final piece of the puzzle is lacking, i.e. the evidence that knocking out the OR specifically eliminates the effects of the plant volatiles on oviposition. Although such information would be really nice, the dataset as it stands is quite extensive and an important step. Developing CRISPR-Cas9 for this system would be a major step in itself. Yet, it will be important to address the value of such a next step in the current manuscript to provide the full evidence, thus supplementing the current step taken, i.e. antennectomy.

In addition, we ask you to provide additional data on the recordings in Figure 2 to substantiate the replication of these findings.

You will find the detailed comments by the three reviewers and ask you to revise the manuscript in response to these comments.

A revised version of the manuscript will be sent out for additional review.

Reviewer #1:

This manuscript presents data on an odorant receptor that is highly expressed in the ovipositor/pheromone gland and that is involved in the selection of oviposition sites. The OR is responsive to a limited number of plant volatiles, none of which seem to be specific for the host plants of the moth. That an odorant receptor is highly expressed in the ovipositor/pheromone gland is remarkable and the data presented here provide a new view of how female moths use plant information during decisions in oviposition site selection.

The study is well performed, albeit that the behavioural experiments are done with a rather limited number of individuals, but the conclusions are straightforward. The antennectomy treatment is a rather crude treatment. Yet, I wonder why the reverse experiment, i.e. ovipositorectomy has not been carried out as well.

Reviewer #2:

In their study the authors present evidence that female moths of Helicoverpa assulta evaluate leaves as oviposition sites with olfactory sensilla situated on the moths' ovipositor. By a huge array of experiments (transcriptome analysis of the ovipositor, in situ hybridization of that receptor that is strongly expressed in the ovipositor, functional analysis of this receptor in frog oocytes, SSR experiments with basiconic-like sensilla on the ovipositor with those odorants the oocytes ectopically expressing the receptor responded to, and finally oviposition assays with moths lacking olfactory input via the antennae) the authors convincingly show that the receptor HassOR31 expressed in sensilla on the ovipositor is governing oviposition choice in this species. While this is not the first report of olfactory sensilla the expression of olfaction-related genes on the ovipositor, it is to my knowledge the most comprehensive analysis and the first one to show, which olfactory receptor is involved. I have only few rather minor concerns:

1) The authors show that moths without antennae still prefer leaves with the major ligand of HassOR31 added (i.e. the ligand that becomes detected by the olfactory sensilla on the ovipositor). This suggests that olfaction by the ovipositor is sufficient to govern oviposition behavior. It would have been, however, much nicer, if the authors would have included experiments with gene-edited moths, lacking HassOR31. Anyhow, the establishment of CRISPR Cas9 in a new species is very time consuming, and I feel that the manuscript even without this critical test for receptor sufficiency is convincing.

2) The manuscript is easy to read but would profit from some language editing. Sometimes the sentences come in the right sequence but are not well connected to each other (just adding "Therefore, we performed…" or "However,…" would often help to make the flow better).

3) I find it very interesting, that the preference indices of moth lacking antennae differ for test with hot pepper (i.e. a complex cue) but not for tests with cis-3-Hexenyl butyrate, i.e. the ligand for the receptor on the ovipositor. This shows that general oviposition is governed by both antennae and ovipositor, but that only cis-3-Hexenyl butyrate seems to be mainly governed by the ovipositor. This important information is somewhat hidden in the text.

Reviewer #3:

The work identifies a moth odorant receptor and its co-receptor ORco in the ovipositor using RNA-seq. While the work is reasonably rigorously carried out (though see concerns below), there is no evidence that HassOR31 is functionally required in oviposition behavior. There is circumstantial evidence to that effect, but nothing in the data confirms it. The transitive argument that an OR is found in ovipositor, responds to X ligand, and X ligand has an influence on oviposition does not prove that this OR regulates egg-laying. Such proof would require genetic disruption of the receptor by genome-editing. The work is therefore primarily of interest to specialists in the field.

https://doi.org/10.7554/eLife.53706.sa1

Author response

The most important criticism is that the final piece of the puzzle is lacking, i.e. the evidence that knocking out the OR specifically eliminates the effects of the plant volatiles on oviposition. Although such information would be really nice, the dataset as it stands is quite extensive and an important step. Developing CRISPR-Cas9 for this system would be a major step in itself. Yet, it will be important to address the value of such a next step in the current manuscript to provide the full evidence, thus supplementing the current step taken, i.e. antennectomy.

In addition, we ask you to provide additional data on the recordings in Figure 2 to substantiate the replication of these findings.

You will find the detailed comments by the three reviewers and ask you to revise the manuscript in response to these comments.

A revised version of the manuscript will be sent out for additional review.

Many thanks to the editors and three reviewers for their recognition of this work and valuable comments and suggestions. Odorant receptors associated with the detection of volatile chemical signals/cues are typically located on the antennae or maxillary palps of insects. We integrated the transcriptome analysis, and molecular, electrophysiological, and behavioral techniques and methods to reveal that the ovipositor of the moth species Helicoverpa assulta bearing a functional OR complex, HassOR31-ORco, also plays a role in detecting volatile chemical cues.

On your concerns:

1) We agree that if we can bring to the modern technology of CRISPR-Cas9 genome editing, it would directly and fundamentally illuminate the involvement of HassOR31 in oviposition decisions by the moths.

In fact, our laboratory has been trying to establish CRISPR-Cas9 in this species and its closely related species Helicoverpa armigera. However, up to now it is not successful on H. assulta: one reason is that this oligophagous species is not easy to be successively reared in the single-pair crossing condition in the lab. Considering the special topic of this study, even if we could knock out HassOR31 in the whole body of Helicoverpa assulta, it would be still hard to explain the function of HassOR31 expressed in ovipositor because HassOR31 in the antennae would also been removed. The ideal mutant comparing with the wild type for this study is the insects with no or less expression of HassOR31 in the ovipositor but normal expression in the antennae, which is even more difficulttobe achieved now in this non-model species. In such a case we have discussed the value of such a next step, and hopefully can reach this goal in the near future.

2) We have added new recordings in Figure 2, and also provided some additional data in two new supplementary figures (Figure 2—figure supplement 1, Figure 2—figure supplement 2). In these figures we can see that in most cases HassOR31 is expressed alone.

We will explain these in detail in the terms of responding to three reviewers’ comments as follows.

Reviewer #1:

[…] rather limited number of individuals, but the conclusions are straightforward. The antennectomy treatment is a rather crude treatment. Yet, I wonder why the reverse experiment, i.e. ovipositorectomy has not been carried out as well.

Many thanks for your comments and suggestions.

1) Yes, the ligands of HassOR31 including Z-3-hexenyl-butyrate, myrcene, citral, and Z-3-hexenyl acetate are all common plant volatiles, suggesting that the ovipositors owning such a highly expressed OR ensure H. assulta females to lay their eggs on the green plant surface. In contrast, its closely related species H. armigera, a generalist, has no such strictness on oviposition behaviors, and the neonate larvae are also much more mobile and robust than those of H. assulta.

2) Antennectomy was our unwilling choice in the beginning. In the pre-experiments, besides removing the antennae, we had also tried to use the nail polish to seal the sensilla on the surface of the ovipositor, or to seal the sensilla on the antennae, but both failed. We found that the antennectomized female moths could still lay eggs, so we chose this relatively crude treatment. Ovipositorectomy was not considered because the moths without the ovipositor could not lay any eggs.

3) We set up two oviposition preference experiments, one with the host-plant volatile mixture, another with the most effective ligand Z-3-hexenyl-butyrate. In each experiment we arranged 5-7 biological replicates, and in each replicate, we used 10-15 female moths (with or without antennae). Considering it is not easy rearing insect species in the lab, the individuals we used are already a large number in total although the replications are still limited. When we received these comments, we immediately planned to carry out more replications. Unfortunately, the unexpected new coronavirus spreading in China prevented us from doing anything in this period of time.

Reviewer #2:

[…] I have only few rather minor concerns:

1) The authors show that moths without antennae still prefer leaves with the major ligand of HassOR31 added (i.e. the ligand that becomes detected by the olfactory sensilla on the ovipositor). This suggests that olfaction by the ovipositor is sufficient to govern oviposition behavior. It would have been, however, much nicer, if the authors would have included experiments with gene-edited moths, lacking HassOR31. Anyhow, the establishment of CRISPR Cas9 in a new species is very time consuming, and I feel that the manuscript even without this critical test for receptor sufficiency is convincing.

Thanks for your comments and understanding. As our responses above to the related comments of the editor, gene editing exploring by CRISPR-Cas9 for this species is ongoing in our laboratory, but we still have a long way to go, hence instantly using this technology for this species is impractical at present. In this study, we take advantages of the unusual high expression of HassOR31 in ovipositor of H. assulta to reveal its hidden secret, we validated the co-expression of OR31 and ORco under the sensilla of ovipositor and identified its ligands. Electrophysiological and behavioral experiments proved the related sensilla play a role in insect oviposition preference. To provide the last piece of evidences, we will do our best to knock out the genes by genome-editing in future, as discussed in the article.

2) The manuscript is easy to read but would profit from some language editing. Sometimes the sentences come in the right sequence but are not well connected to each other (just adding "Therefore, we performed…" or "However,…" would often help to make the flow better).

Thanks so much for your comments and suggestions. We have revised the whole manuscript and made the language more fluent to read (such as in the second paragraph of the Introduction, subsections “Tissue expression pattern of HassOR31”, “Localization of HassOR31 and HassORco in the ovipositor” and “Oviposition preference of H. assulta female”).

3) I find it very interesting, that the preference indices of moth lacking antennae differ for test with hot pepper (i.e. a complex cue) but not for tests with cis-3-Hexenyl butyrate, i.e. the ligand for the receptor on the ovipositor. This shows that general oviposition is governed by both antennae and ovipositor, but that only cis-3-Hexenyl butyrate seems to be mainly governed by the ovipositor. This important information is somewhat hidden in the text.

Thank you so much for this valuable insight. We have added some sentences on this point in the Discussion section as follows: “The behavioral assay with hot pepper volatiles (a complex cue) showed that antennectomized females still preferred to oviposit on sites treated with hot pepper volatiles, but their oviposition preference index was significantly decreased. […] The expression levels of HassOR31 and other ORs expressed in the ovipositor and antennae may explain such behavioral responses.”

Reviewer #3:

The work identifies a moth odorant receptor and its co-receptor ORco in the ovipositor using RNA-seq. While the work is reasonably rigorously carried out (though see concerns below), there is no evidence that HassOR31 is functionally required in oviposition behavior. There is circumstantial evidence to that effect, but nothing in the data confirms it. The transitive argument that an OR is found in ovipositor, responds to X ligand, and X ligand has an influence on oviposition does not prove that this OR regulates egg-laying. Such proof would require genetic disruption of the receptor by genome-editing. The work is therefore primarily of interest to specialists in the field.

Thank you so much for your critical comments. We largely accept your advice. Nevertheless, the primary finding of this study is the olfactory function of HassOR31 in the ovipositor of H. assulta, rather than requirement of this gene in oviposition behavior although the latter is also what we do best to validate. We give thanks to the solid foundation on molecular mechanisms of insect olfaction built by previous studies, especially discovery of the ligand-gated ion channel formed by OR-ORco complex in Drosophila. It is by applying this “principle” we used a series of comprehensive methods including transcriptome analysis, in situ hybridization, Xenopus expression system and two-electrode voltage-clamp, SSR, and finally oviposition assays to prove the olfactory function of HassOR31 in the ovipositor of H. assulta. It should be of public interest because generally people believe the olfaction organ is only on the head of insects, here we tell the ovipositor can smell in some moths and provide the first example to show which olfactory receptor is involved in such a process.

Helicoverpa armigera and Helicoverpa assulta are two ideal models in studying olfaction mechanisms of insects. They are closely related species but have big differences in sex pheromone communication and host-plant selection. The genome information of Helicoverpa armigera has been reported, while that of Helicoverpa assulta has not yet. We are on our way in trying to turn these two moth species into new model organisms with the modern technology of CRISPR-Cas9 genome editing.

We totally agree that the model organisms like Drosophila have provided valuable insights into biology including olfaction. The logic used in genetic dissection is quite simple and effective: inactivate an OR gene and measure the behavioral output, and then one can conclude that the OR plays a key role in host-searching behavior. However, the complexity of the system is far too great to be only encoded by a simple correspondence between single genes and neurons, network interactions and the environment also play a role. Yet apart from the technical feasibility in this case, it seems not easy to clarify the role of the OR expressed in the ovipositor by simply knocking the gene out because is also expressed in the main olfactory organ antennae. The behavioral output could be a combined or complementary effect, and therefore transitively dissecting step by step could be another useful approach.

https://doi.org/10.7554/eLife.53706.sa2

Article and author information

Author details

  1. Rui-Ting Li

    1. State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
    2. CAS Center for Excellence in Biotic Interactions, University of Chinese Academy of Sciences, Beijing, China
    Contribution
    Conceptualization, Data curation, Software, Formal analysis, Validation, Investigation, Visualization, Methodology, Writing - original draft
    Competing interests
    No competing interests declared
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-4720-6255
  2. Ling-Qiao Huang

    State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
    Contribution
    Resources, Data curation, Formal analysis, Investigation, Visualization, Methodology, Writing - original draft
    Competing interests
    No competing interests declared
  3. Jun-Feng Dong

    Forestry College, Henan University of Science and Technology, Luoyang, China
    Contribution
    Resources, Data curation, Formal analysis, Validation, Investigation, Visualization, Methodology
    Competing interests
    No competing interests declared
  4. Chen-Zhu Wang

    1. State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
    2. CAS Center for Excellence in Biotic Interactions, University of Chinese Academy of Sciences, Beijing, China
    Contribution
    Conceptualization, Resources, Data curation, Supervision, Funding acquisition, Validation, Methodology, Project administration, Writing - review and editing
    For correspondence
    czwang@ioz.ac.cn
    Competing interests
    No competing interests declared
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-0418-8621

Funding

National Natural Science Foundation of China (31830088)

  • Chen-Zhu Wang

National Natural Science Foundation of China (31772528)

  • Chen-Zhu Wang

National Key R and D Program of China (2017YFD0200400)

  • Chen-Zhu Wang

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Acknowledgements

We thank our colleagues Zhen Zou, Chao Ning for their assistance in the transcriptome library construction and bioinformatics analysis. We are grateful to Ke Yang and Han Wu, who provide the practical advices on in situ hybridization and behavioral bioassays, respectively. We also thank Meng Xu and Da-Feng Chen for their helps in single sensillum recording. This work was supported by the National Natural Science Foundation of China (Grant No. 31830088 and 31772528), and National Key R and D Program of China (Grant number: 2017YFD0200400).

Ethics

Animal experimentation: All procedures in this study were approved by the Animal Care and Use Committee of the Institute of Zoology, Chinese Academy of Sciences for the care and use of laboratory animals (protocol number IOZ17090-A). The surgery was performed following the protocols reported by Nakagawa and Touhara (2013). The Xenopus laevis was anesthetized by bathed in the mixture of ice and water in 30 min, the wounds were carefully treated to avoid infection. Every effort was made to minimize suffering.

Senior Editor

  1. Christian Rutz, University of St Andrews, United Kingdom

Reviewing Editor

  1. Marcel Dicke, Wageningen University, Netherlands

Reviewers

  1. Markus Knaden, Max Planck Institute for Chemical Ecology, Germany
  2. Leslie Voshall, The Rockefeller University, United States

Publication history

  1. Received: November 18, 2019
  2. Accepted: May 20, 2020
  3. Accepted Manuscript published: May 21, 2020 (version 1)
  4. Version of Record published: June 22, 2020 (version 2)

Copyright

© 2020, Li et al.

This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.

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