1. Ecology

The larva and adult of Helicoverpa armigera use differential gustatory receptors to sense sucrose

  1. Shuai-Shuai Zhang
  2. Pei-Chao Wang
  3. Chao Ning
  4. Ke Yang
  5. Guo-Cheng Li
  6. Lin-Lin Cao
  7. Ling-Qiao Huang
  8. 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. Chinese Academy of Sciences Center for Excellence in Biotic Interactions, University of Chinese Academy of Sciences, China
https://doi.org/10.7554/eLife.91711.3
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Cite this article
  1. Shuai-Shuai Zhang
  2. Pei-Chao Wang
  3. Chao Ning
  4. Ke Yang
  5. Guo-Cheng Li
  6. Lin-Lin Cao
  7. Ling-Qiao Huang
  8. Chen-Zhu Wang
(2024)
The larva and adult of Helicoverpa armigera use differential gustatory receptors to sense sucrose
eLife 12:RP91711.
https://doi.org/10.7554/eLife.91711.3
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This important study identifies the gustatory receptors for sugar sensing in the larval and adult forms of the cotton bollworm, which is responsible for the destruction of many food crops world-wide. The authors find that the larval and adult forms utilise different receptors to sense sugars. The data are convincing and will be of interest neuroscientists working in sensory coding of sugars and to the pest management field.

https://doi.org/10.7554/eLife.91711.3.sa0

Abstract

Almost all herbivorous insects feed on plants and use sucrose as a feeding stimulant, but the molecular basis of their sucrose reception remains unclear. Helicoverpa armigera as a notorious crop pest worldwide mainly feeds on reproductive organs of many plant species in the larval stage, and its adult draws nectar. In this study, we determined that the sucrose sensory neurons located in the contact chemosensilla on larval maxillary galea were 100–1000 times more sensitive to sucrose than those on adult antennae, tarsi, and proboscis. Using the Xenopus expression system, we discovered that Gr10 highly expressed in the larval sensilla was specifically tuned to sucrose, while Gr6 highly expressed in the adult sensilla responded to fucose, sucrose and fructose. Moreover, using CRISPR/Cas9, we revealed that Gr10 was mainly used by larvae to detect lower sucrose, while Gr6 was primarily used by adults to detect higher sucrose and other saccharides, which results in differences in selectivity and sensitivity between larval and adult sugar sensory neurons. Our results demonstrate the sugar receptors in this moth are evolved to adapt toward the larval and adult foods with different types and amounts of sugar, and fill in a gap in sweet taste of animals.

Introduction

Over 400,000 species of phytophagous insects live on approximately 300,000 species of vascular plants worldwide (Schoonhoven et al., 2005). Carbohydrates produced by plant photosynthesis are important nutrients for phytophagous insects. The disaccharide sucrose, the major sugar in plants, is the principal transport form of photoassimilates in higher plants. Sucrose varies considerably in concentration in green leaves, fruits, and flower nectar where it occurs together with its constituent monosaccharides fructose and glucose (Bernays and Chapman, 1994). Sucrose, fructose, and glucose are the powerful phagostimulants for most phytophagous insects studied (Bernays and Chapman, 1994; Blaney and Simmonds, 1988; Chapman, 2003; Schoonhoven et al., 2005).

The gustatory sensory neurons (GSNs) in one or more mouthpart sensilla of phytophagous insects respond to sugars, usually including sucrose (Chapman, 2003; Dethier, 1973). In Lepidoptera, caterpillars often have sugar-sensitive GSNs in lateral or medial sensilla styloconica on the maxillary galea (Glendinning et al., 2009; Martin and Shields, 2012; Schoonhoven and Loon, 2002), while adults also have sugar-sensitive GSNs in contact chemosensilla of the antennae (Jørgensen et al., 2007; Popescu et al., 2013), tarsi (Schnuch and Seebauer, 1998; Zhang et al., 2010), and proboscis (Blaney and Simmonds, 1988; Blaney and Simmonds, 1990; Faucheux, 2013). The molecular basis of sugar reception in Lepidopteran insects remains unclear, although the sweet taste receptors in mammals and Drosophila melanogaster have been extensively studied (Liman et al., 2014; Yarmolinsky et al., 2009). In mammals, the combination of two taste receptors T1R2 and T1R3 recognizes sugars including sucrose (Damak et al., 2003; Li et al., 2002; Nelson et al., 2001; Zhao et al., 2003). In Drosophila, multiple gustatory receptors (GRs), including DmGr5a, DmGr61a, and DmGr64a–f clusters, are required for the response of adults to multiple sugars (Dahanukar et al., 2001; Dahanukar et al., 2007; Jiao et al., 2007; Jiao et al., 2008; Slone et al., 2007); DmGr43a specifically responding to fructose is the major larval sugar receptor, but it is only expressed in internal organs and some parts of the brain (Mishra et al., 2013; Miyamoto et al., 2012). No external sugar-sensing mechanism in Drosophila larvae has yet been characterized.

The cotton bollworm Helicoverpa armigera (Noctuidae, Lepidoptera) is a worldwide agricultural pest, it causes over $3 billion in annual global economic loss (Pearce et al., 2017). The larvae of H. armigera mainly feeds on young leaves, flower buds, and fruits of host plants; the adults mainly drink nectar of plants. Larval and adult diets vary dramatically in the variety and concentration of sugars. Sucrose is the major sugar in plant leaves and reproductive organs, whereas flower nectar mainly contains sucrose, fructose, and glucose (Nicolson, 1998). Previous studies have shown that one sugar-sensitive GSN in H. armigera is located in each of two lateral sensilla styloconica in the larva (Tang et al., 2000; Zhang et al., 2013), and many sugar-sensitive GSNs are distributed in the numerous contact chemosensilla of antennae (Jiang et al., 2015), tarsi (Blaney and Simmonds, 1990; Zhang et al., 2010), and proboscis (Blaney and Simmonds, 1988) in the adult.

To understand the molecular basis of sugar reception in these neurons, we first compared electrophysiological and behavioral responses of H. armigera larvae and adults. Second, we analyzed the expression patterns of nine candidate sugar GR genes in larval and adult taste organs. Third, we carried out functional analysis of these GR genes using the ectopic expression system, and revealed the response profiles of Xenopus oocytes expressing Gr10, Gr6, and both of them. Finally, we individually knocked out the two GR genes and obtained two homozygous mutants of H. armigera by CRISPR/Cas9, and then detected changes in the electrophysiological and behavioral responses of the mutant larvae and adults to sugars. Taking all the results together, we demonstrate that larval and adult H. armigera used different GRs to detect sucrose in food.

Results

Electrophysiological responses of contact chemosensilla to sugars

We first investigated the electrophysiological responses of the lateral and medial sensilla styloconica on the larval maxillary galea to eight sugars. These sugars were chosen because they are mostly found in host-plants of H. armigera or are representative in the structure and source of sugars. The lateral sensilla styloconica showed significant unicellular responses to 10 mM sucrose and fucose, with the firing rates of 169±8.57 and 43±9.78 spikes/s, respectively (Figure 1A, Figure 1—figure supplement 1A). The threshold concentrations for their responses to sucrose and fucose were 0.1 mM and 10 mM, respectively (Figure 1B, Figure 1—figure supplement 1B). The medial sensilla styloconica had a weak response to xylose (Figure 1—figure supplement 1C). We also compared the responses of the lateral sensilla styloconica to 0.05 mM sucrose, 5 mM fucose, and their mixture with the same concentrations, and found that the mixture induced higher responses with only one amplitude spikes and a firing rate of 71±12.36 spikes/s, which was higher than the firing rates induced by 0.05 mM sucrose (39±6.37 spikes/s) and 5 mM fucose (36±8.87 spikes/s; Figure 1—figure supplement 1D), confirming that the same cell responded to sucrose and fucose. We conclude that there is only one GSN sensitive to sucrose and fucose in each maxillary galea of larvae.

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Electrophysiological responses of larval and adult contact chemosensilla in Helicoverpa armigera to sugars.

(A) The maxilla of the larva (left), the representative spike traces of the responses of lateral sensilla styloconica on larval maxillary galea to eight sugars at 10 mM (middle), and quantifications of the firing rates (right) (n=13). The red arrow marks the recorded lateral sensillum styloconicum. Scale bar represents 20 μm. (B) Dose–responses of the lateral sensilla styloconica on larval maxillary galea to sucrose and fucose (sucrose: n=8; fucose: n=6). (C) The antenna terminal of the female (left), the representative spike traces of the responses of the contact chemosensilla on female antennae to eight sugars at 10 mM (middle), and quantifications of the firing rates (right) (n=21). The red arrows mark the recorded contact chemosensilla. Scale bar represents 100 μm. (D) Dose–responses of the contact chemosensilla on female antennae to sucrose, fucose, and fructose (n=21). (E) The fifth tarsomere of the female (left) (Zhang et al., 2010), the representative spike traces of the responses of contact chemosensilla on female tarsi to eight sugars at 10 mM (middle), and quantifications of the firing rates (right) (n=15). The red arrows mark the recorded contact chemosensilla. Scale bar represents 100 μm. (F) Dose–responses of the contact chemosensilla on female tarsi to sucrose, fucose, and fructose (n=21). (G) The proboscis terminal of the female (left), the representative spike traces of the responses of contact chemosensilla on female proboscis to eight sugars at 10 mM (middle), and quantifications of the firing rates (right) (n=21). The red arrows mark the recorded contact chemosensilla. Scale bar represents 200 μm. (H) Dose–responses to sucrose (n=21), fucose (n=21), and fructose (fructose 0 mM, n=18; fructose 0.01 mM-100 mM, n=21) of the contact chemosensilla on the female proboscis. (A to H) Data are mean ± SEM; * p<0.05; ** p<0.01; *** p<0.001. (A, C, E, G) Data were analyzed by independent-samples t test (compared with control). (B, D, F, H) Data were analyzed by one-way ANOVA with Tukey’s HSD test.

© 2010, Journal of Experimental Biology. Figure 1E is taken from Figure 1A in Zhang et al., 2010, Journal of Experimental Biology. It is not covered by the CC-BY 4.0 license and further reproduction of this panel would need permission from the copyright holder.

Figure 1—source data 1

Electrophysiological responses of larval and adult contact chemosensilla in Helicoverpa armigera to sugars.

(Figure 1A) The electrophysiological responses of the lateral sensilla styloconica on the maxillary galea of H. armigera 5th instar larvae to test compounds. (Figure 1B) The electrophysiological responses of the lateral sensilla styloconica on the maxillary galea of H. armigera 5th instar larvae to sucrose and fucose at different concentrations. (Figure 1C) The electrophysiological responses of the contact chemosensilla on antennae of H. armigera female adults to test compounds. (Figure 1D) The electrophysiological responses of the contact chemosensilla on the antennae of H. armigera female adults to sucrose, fucose and fructose at different concentrations. (Figure 1E) The electrophysiological responses of the contact chemosensilla on the tarsi of H. armigera female adults to test compounds. (Figure 1F) The electrophysiological responses of the contact chmosensilla on the tarsi of H. armigera female adults to sucrose, fucose, and fructose at different concentrations. (Figure 1G) The electrophysiological responses of the contact chemosensilla on the proboscis of H. armigera female adults to test compounds. (Figure 1H) The electrophysiological responses of the contact chemosensilla on the proboscis of H. armigera female adults to sucrose, fucose, and fructose at different concentrations.

https://cdn.elifesciences.org/articles/91711/elife-91711-fig1-data1-v2.xlsx

We also studied the responses of the contact chemosensilla on the top areas of the antennae, foreleg tarsi, and proboscis of female adults to eight sugars at 10 mM and the related dose responses (Figure 1C–H). The antennal sensilla responded to sucrose, fucose, and fructose positively (Figure 1C), the tarsal sensilla only responded to sucrose and fucose (Figure 1E), and the proboscis sensilla responded to sucrose, fucose, and fructose (Figure 1G), but their firing rates were between 9 and 22 spikes/s. All the evoked spike traces had one amplitude, indicating that they were single cell responses (Figure 1—figure supplement 1A). The dose–response curves showed that the threshold concentrations of sucrose, fucose and fructose were all 10 mM for the antennal sensilla (Figure 1D, Figure 1—figure supplement 1B), 100 mM, 10 mM and 100 mM for the tarsal sensilla (Figure 1F, Figure 1—figure supplement 1B), and 10 mM, 100 mM and 10 mM for the proboscis sensilla, respectively (Figure 1H, Figure 1—figure supplement 1B).

In short, both larvae and adults of H. armigera had sugar GSNs, but their response profiles, intensity and sensitivity differed distinctively. The sugar GSNs in lateral sensilla styloconica of larvae responded strongly to sucrose with high sensitivity, and weakly to fucose; while the sugar GSNs of adults responded to sucrose, fucose, and fructose (except for those on tarsi) with lower intensity and sensitivity. The GSNs of larvae were 100–1,000 times more sensitive to sucrose than those of adults.

Behavioral responses of larvae and adults to sugars

To determine how the taste inputs of various sugars cause behavioral responses in insects, the two-choice test was used to examine the feeding behavior of the 5th instar larvae of H. armigera to eight sugars at 10 mM. Sucrose and fructose stimulated larval feeding, and their threshold concentrations were 10 mM (Figure 2A–B, Figure 2—figure supplement 1); other tested sugars had no effect on larval feeding (Figure 2A).

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Behavioral responses of Helicoverpa armigera larvae and adults to sugars.

(A) Feeding responses and the preference index (PI) value of 5th instar larvae to eight sugars painted on the cabbage leaf discs at 10 mM in two-choice tests. ** p<0.01; ns indicates no significance, p≥0.05 (paired t test, n=20). (B) Feeding responses and the PI value of 5th instar larvae to different concentrations of sucrose painted on the cabbage leaf discs in two-choice tests. ** p<0.01, *** p<0.001; ns indicates no significance, p≥0.05 (paired t test, n=20). (C) Proboscis extension reflex (PER) in adult females upon antennal stimulation by eight sugars at 100 mM. ** p<0.01; *** p<0.001 (independent-samples t test compared with control, n=3). (D) PER in adult females upon tarsal stimulation by eight sugars at 100 mM. * p<0.05; ** p<0.01 (independent-samples t test, n=3). (E) PER in adult females upon antennal stimulation by different concentrations of sucrose, fucose, and fructose. * p<0.05 (one-way ANOVA with Tukey’s HSD test, n=3). (F) PER in adult females upon tarsal stimulation by different concentrations of sucrose, fucose, and fructose (n=3). * p<0.05 (one-way ANOVA with Tukey’s HSD test, n=3). (A to F) Data are mean ± SEM. The red arrow indicates the stimulating site.

Figure 2—source data 1

Behavioral responses of Helicoverpa armigera larvae and adults to sugars.

(Figure 2A) Feeding area of H. armigera 5th instar larvae in two-choice tests of eight sugars. (Figure 2B) Feeding area of H. armigera 5th instar larvae in two-choice tests of sucrose at different concentrations. (Figure 2C) Proboscis extension reflex (PER) in adult females upon antennal stimulation by eight sugars. (Figure 2D) PER in adult females upon tarsal stimulation by eight sugars. (Figure 2E) PER in adult females upon antennal stimulation by different concentrations of sucrose, fucose, and fructose. (Figure 2F) PER in adult females upon tarsal stimulation by different concentrations of sucrose, fucose, and fructose.

https://cdn.elifesciences.org/articles/91711/elife-91711-fig2-data1-v2.xlsx

We also studied the proboscis extension reflex (PER) induced by sugar stimulation in the top areas of antennae and fore leg tarsi of virgin female adults. In consideration of the sugar content in nectar and the response intensity of the contact chemosensilla in adults, the test concentration of sugars was set at 100 mM. The results showed that the PER percentage reached 64 ± 4.35%, 44 ± 5.96% and 20 ± 1.92% when the antennal sensilla were stimulated with sucrose, fucose and fructose (Figure 2C), while the PER percentage reached 53 ± 14.08%, 45 ± 4.44% and 36 ± 10.19% when the tarsal sensilla were stimulated, respectively (Figure 2D). Stimulation of the antennal or tarsal sensilla by other sugars did not induce changes in the PER percentage compared with stimulation of water (Figure 2C–D). The dose–response curves showed that the threshold concentrations of sucrose, fucose, and fructose for the antennal sensilla were 100 mM, 100 mM, and 1000 mM (Figure 2E), those for the tarsal sensilla were 10 mM, 10 mM, and 100 mM, respectively (Figure 2F).

Phylogenetic tree and expression patterns of putative sugar gustatory receptors

On the basis of understanding the electrophysiological and behavioral responses of larvae and adults of H. armigera to various sugars, we aimed to reveal the molecular mechanisms of sugar reception in the contact chemosensilla of H. armigera. We first analyzed the putative sugar gustatory receptor genes based on the genome data of H. armigera (Pearce et al., 2017), the reported gene sequences of sugar GRs in H. armigera and their phylogenetic relationship of D. melanogaster sugar gustatory receptors (Jiang et al., 2015; Xu et al., 2012). All nine putative sugar GR genes in H. armigera, Gr4–12 were validated, and their full-length cDNA sequences were cloned (The GenBank accession number is provided in Supplementary file 1). The lengths of the amino acid sequences of the sugar GRs were consistent with the lengths of the corresponding reported sequences (the similarity was 97–99%), except for Gr8, Gr9, and Gr10. Gr8 had two more amino acids at the C-terminal than the reported by Xu et al., 2017 with 99% sequence similarity (Xu et al., 2017). Gr9 had 9 more amino acids at the N-terminal than the reported in the H. armigera genome study with 99% sequence similarity (Pearce et al., 2017), while the sequence length of Gr9 was exactly the same as Gr4 in Jiang et al., 2015 with 99% sequence similarity (Jiang et al., 2015). Gr10 had 20 more amino acids than the sequence reported in the H. armigera genome study (Pearce et al., 2017) and 186 more amino acids than the sequence reported by Xu et al., 2017 (Xu et al., 2017), with 97% and 99% sequence similarities, respectively.

We established a phylogenetic tree using sugar GR genes of nine insect species, including D. melanogaster, Aedes aegypti, and Anopheles gambiae in Diptera; Apis mellifera in Hymenoptera; and Danaus plexippus, Heliconius melpomene, Bombyx mori, Plutella xylostella, and H. armigera in Lepidoptera (Figure 3A). The phylogenetic analysis showed that candidate sugar GRs of these nine insect species grouped within two clades, the sugar GR clade and the fructose GR clade. All the putative sugar GRs of H. armigera were in the sugar GR clade except for HarmGr9, which was in the fructose GR clade (Figure 3A).

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The phylogenetic relationship and the expression level of sugar GRs in larval maxilla and female adult antennae, tarsi and proboscis of Helicoverpa armigera.

(A) The phylogenetic tree of insect sugar GRs. Diptera (orange): Aaeg, Aedes aegypti; Agam, Anopheles gambiae; Dmel, Drosophila melanogaster. Hymenoptera (blue): Am, Apis mellifera. Lepidoptera (black): Bmor, Bombyx mori; Dple, Danaus plexippus; Hmel, Heliconius melpomene; Pxyl, Plutella xylostella. Harm (red), Helicoverpa armigera. Numbers above branches indicate ultrafast bootstrap approximation (UFBoot). (B) Relative expression levels of sugar GRs in the maxillary galea of 5th instar larvae of H. armigera determined by qRT-PCR. (C) Relative expression levels of sugar GRs in the female adult antennae. (D) Relative expression levels of sugar GRs in female adult tarsi. (E) Relative expression levels of sugar GRs in female adult proboscis. (B to E) Data are mean ± SEM. One-way ANOVA was used, and different letters labeled indicate significant difference (Tukey’s HSD test, p<0.05, n=3).

Figure 3—source data 1

The expression levels of sugar GRs in larval maxilla and female adult antennae, tarsi and proboscis of Helicoverpa armigera.

(Figure 3B) Expression levels of sugar GRs in the maxillary galea of H. armigera larvae. (Figure 3C) Expression levels of sugar GRs in the antennae of H. armigera female adults. (Figure 3D) Expression levels of sugar GRs in the tarsi of H. armigera female adults. (Figure 3E) Expression levels of sugar GRs in the proboscis of H. armigera female adults.

https://cdn.elifesciences.org/articles/91711/elife-91711-fig3-data1-v2.xlsx

To determine the expression patterns of nine putative sugar GR genes in larval and adult taste organs, we measured their expression levels in the larval maxillary galea, and the antennae, foreleg tarsi, and proboscis in virgin female and male adults by real-time quantitative PCR (qRT-PCR) (Figure 3B–E, Figure 3—figure supplement 1). The results showed that the expression patterns of sugar GRs in the same organ of male and female adults were nearly the same (Figure 3C–E, Figure 3—figure supplement 1). The average expression level of all sugar GRs in the larval maxillary galea was lower than that in the adult organs. In each taste organ, the expression levels of 1–2 sugar GRs were much higher than those of other sugar GRs, and these highly expressed GRs were significantly different between larvae and adults (Figure 3B–E, Figure 3—figure supplement 1). Among all sugar GRs, Gr10 was highly expressed in the larval maxillary galea, whereas Gr6 was highly expressed in the antennae, tarsi, and proboscis of both male and female adults. Gr5 expression levels greatly varied; they were highest in the proboscis followed by the tarsi, but very low in the antennae and the maxillary galea of the larvae (Figure 3B–E, Figure 3—figure supplement 1).

Functional analysis of putative sugar gustatory receptors by ectopic expression

Of all the nine putative sugar GRs in H. armigera mentioned above, only Gr9, originally named as Gr4, has been previous identified as a fructose receptor (Jiang et al., 2015). To explore the functions of the other eight GRs, we first investigated the inward current changes in Xenopus oocytes expressing sugar GRs individually in response to the stimulation of 11 sugars at 100 mM using two-electrode voltage-clamp. The results showed that the oocytes expressing Gr10 only responded to sucrose with a current value of 4.10±0.53 μA (Figure 4A–B); the oocytes expressing Gr6 showed responses to fucose and sucrose with a current value of 1.59±0.08 μA and 0.24±0.03 μA, respectively (Figure 4A–B). The oocytes expressing remaining six sugar GR genes (Gr4, Gr5, Gr7, Gr8, Gr11, and Gr12) singly had no response to the tested sugars (Figure 4—figure supplement 1A–B). The dose–response curves showed that the threshold concentration of sucrose for the oocytes expressing Gr10 was 100 mM (Figure 4C–D), whereas the threshold concentrations of sucrose and fucose for the oocytes expressing Gr6 were 250 mM and 100 mM, respectively, and 500 mM fructose could also induce an inward current (Figure 4C–D).

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The inward current responses of the Xenopus oocytes expressing sugar GRs of Helicoverpa armigera to sugars.

(A) The representative traces of the oocytes expressing Gr10, Gr6, and Gr10 +Gr6 to 11 sugars at 100 mM. (B) The responses of the oocytes expressing Gr10, Gr6, and Gr10 +Gr6 to sugars at 100 mM (Gr10, n=14. Gr6, n=20. Gr10 +Gr6, n=7). (C) The representative trace of the oocytes expressing Gr10 to sucrose (the upper), the representative trace of the oocytes expressing Gr6 to sucrose, fucose, and fructose (the middle), the representative trace of the oocytes expressing Gr10 +Gr6 to sucrose and fucose (the lower). (D) The dose-responses of the oocytes expressing Gr10 to sucrose (the upper, n=13); the dose-responses of the oocytes expressing Gr6 to sucrose, fucose, and fructose (the middle, sucrose: n=6; fucose: n=6; fructose: n=3); the dose-responses of the oocytes expressing Gr10 +Gr6 to sucrose and fucose (the lower, sucrose: n=4; fucose: n=3). (B and D) Data are mean ± SEM, and were analyzed by one-way ANOVA with Tukey’s HSD test (p<0.05). Different letters labeled indicate significant differences, * p<0.05. (A to D) Ara, arabinose; Fru, fructose; Fuc, fucose; Gal, galactose; Glu, glucose; Lac, lactose; Mal, maltose; Man, mannose; Suc, sucrose; Tre, trehalose; Xyl, xylose; Rin, Ringer solution.

Figure 4—source data 1

The inward current responses of the Xenopus oocytes expressing sugar GRs of Helicoverpa armigera to sugars.

(Figure 4B) The inward current responses of the oocyte expressing Gr10, Gr6 and Gr10 +Gr6 to 100 mM sugars. (Figure 4D) The inward current responses of the oocyte expressing Gr10, Gr6 and Gr10 +Gr6 to sucrose, fucose, and fructose at different concentrations.

https://cdn.elifesciences.org/articles/91711/elife-91711-fig4-data1-v2.xlsx

Given that there was only one sugar GSN responding to sucrose and fucose in each larval maxillary galea, we speculated that Gr10 should be expressed together with Gr6 in this cell, although their expressing levels were different. Therefore, we examined the response profile of the oocytes expressing Gr10 together with Gr6. The results showed that the oocytes co-expressing Gr10 and Gr6 significantly responded to sucrose with a current value of 1.89±0.58 μA at 100 mM, a threshold concentration, and had a weak response to fucose with a threshold concentration of 250 mM (Figure 4).

Since Gr5 and Gr6 were highly expressed in the proboscis and tarsi (Figure 3D–E, Figure 3—figure supplement 1), we suspected that Gr5 and Gr6 might be expressed in the same cells, and then tested the response profile of their co-expression in oocytes. Similar to the oocytes expressing Gr6, the oocytes expressing Gr5 and Gr6 had responses to 100 mM fucose with a current value of 0.11±0.015 μA and to 100 mM sucrose with a current value of 0.03±0.002 μA (Figure 4—figure supplement 1B–C).

In summary, we find that oocytes expressing single Gr10 or Gr6 confer sensitivity to one or more sugars, indicating their direct roles in ligand recognition. Gr10 is tuned to sucrose specifically, Gr6 is responsive to fucose, sucrose and fructose in the order of sensitivity, and the combination of Gr10 and Gr6 is sensitive to sucrose and then fucose, which is in line with the characteristics of the sugar GSNs in larval and adult taste organs where the two GRs are highly expressed respectively.

Establishment of Gr10 and Gr6 homozygous mutants

In the above study, we discovered ligands of Gr10 and Gr6 using the ectopic expression system. To validate the function of Gr10 and Gr6 in vivo, we further constructed Gr10 and Gr6 homozygous mutants (Gr10-/- and Gr6-/-, respectively) using CRISPR/Cas9 techniques (Figure 5). Gr10-/- and Gr6-/- generated 4 bp and 17 bp deletions at the sgRNA targeting site (Figure 5), respectively, which also confirmed the deletion at the mRNA level in Gr10-/- and Gr6-/- (Figure 5—figure supplement 1). The deletion resulted in truncated Gr10 and Gr6 proteins. The Gr10 sequence was reduced from 460 to 62 amino acids and contained no transmembrane domains, whereas the Gr6 sequence was reduced from 452 to 115 amino acids and contained only two transmembrane domains (Figure 5).

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Establishment of Gr10 and Gr6 homozygous mutants (Gr10-/- and Gr6-/-) of Helicoverpa armigera via CRISPR/Cas9.

(A) The cross process of obtaining Gr10-/-. (B) The genomic structure of Gr10, the single-guide RNA (sgRNA) targeting sequence (in green), and representative chromatograms of direct sequencing of the PCR products obtained from wild types (WT) and Gr10-/-, in which 4 bp of the Gr10 sequence were deleted. (C) The predicted secondary structures of the Gr10 protein in WT and the truncated Gr10 protein in Gr10-/-. (D) The cross process of obtaining Gr6-/-. (E) The genomic structure of Gr6, the single-guide RNA (sgRNA) targeting sequence (in green), and representative chromatograms of direct sequencing of the PCR products obtained from WT and Gr6-/-, in which 17 bp of the Gr6 sequence were deleted. (F) The predicted secondary structures of the Gr6 protein in WT and the truncated Gr6 protein in Gr6-/-. (B and E) Boxes represent exons, black lines represent introns, the green arrowhead indicates the direction of sgRNA; the protospacer adjacent motif (PAM) is in blue. (C and F) The secondary structure of Gr10 and Gr6 in WT, Gr10-/- and Gr6-/- was predicted by https://dtu.biolib.com/DeepTMHMM, and the image was constructed by TOPO2 software (http://www.sacs.ucsf.edu/TOPO2).

In order to predict the potential off-target sites of sgRNA of Gr6 and Gr10, we used online software Cas-OFFinder (http://www.rgenome.net/cas-offinder/) to blast the genome of H. armigera, and the mismatch number was set to less than or equal to 3. According to the predicted results, the Gr10 sgRNA had no potential off-target region but Gr6 sgRNA had one. Therefore, we amplified and sequenced the potential off-target region of Gr6-/- and found there was no frameshift or premature stop codon in the region compared to WT (Figure 5—figure supplement 2A). It is worth mentioning that there was no potential off-target region of Gr6 sgRNA or Gr10 sgRNA in all the other eight sugar receptor genes of H. armigera. We further found there was no difference in the response to xylose of the medial sensilla styloconica among WT, Gr10-/- and Gr6-/- (Figure 5—figure supplement 2B). Furthermore, WT, Gr10-/- and Gr6-/-did not show differences in the larval body weight, adult lifespan, and number of eggs laid per female (Figure 5—figure supplement 2C). All these results suggest that no off-target effects occurred in the study.

Effects of Gr10 or Gr6 knockout on sugar reception

After obtaining the two homozygous mutants, we compared electrophysiological responses of the sugar GSNs in larval lateral sensilla styloconica of the WT, Gr10-/-, and Gr6-/- to sucrose and fucose using 10 mM sinigrin as a positive control, which induced the response of a bitter cell in the same sensilla. To 1 mM, 10 mM and 100 mM sucrose, the firing rates of the larval sugar GSNs in Gr10-/- were only 40%, 20% and 28% of those in the WT, respectively, whereas those in Gr6-/- larvae did not differ from those in the WT larvae (Figure 6A–B). To 10 mM and 100 mM fucose, the firing rates of the larval sugar GSNs in Gr6-/- were only 20% and 5.8% of those in the WT, respectively, whereas those of Gr10-/- did not differ from the WT (Figure 6A–B). The electrophysiological responses of the bitter GSNs to sinigrin in the larval lateral sensilla styloconica of the WT, Gr10-/-, and Gr6-/- were all strong and did not differ (Figure 6A–B). It is clear that Gr10 plays a key role in sucrose reception, whereas Gr6 plays a key role in fucose reception of the sugar GSNs in the lateral sensilla styloconica of larvae.

Figure 6
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Electrophysiological responses of larval and adult contact chemosensilla in WT, Gr10-/- and Gr6-/- of Helicoverpa armigera to sucrose and other compounds.

(A) The representative spike traces of lateral sensilla styloconica on larval maxillary galea. (B) Quantifications of the firing rates of the lateral sensilla styloconica on larval maxillary galea (mean ± SEM; WT, n=12; Gr6-/-, n=13; Gr10-/-, n=13). (C) The representative spike traces of contact chemosensilla on female antennae. (D) Quantifications of the firing rates of the contact chemosensilla on female antennae (mean ± SEM; WT, n=20. Gr6-/-: nicotine, n=17; other compounds, n=18. Gr10-/-, n=20). (E) The representative spike traces of contact chemosensilla on female tarsi. (F) Quantifications of the firing rates of the contact chemosensilla on female tarsi (mean ± SEM; WT, n=18; Gr6-/-: nicotine, n=14. other compounds, n=18. Gr10-/-, n=18). (G) The representative spike traces of contact chemosensilla on female proboscis. (H) Quantifications of the firing rates of the contact chemosensilla on female proboscis (mean ± SEM; WT: sucrose 100 mM, n=17; other compounds, n=18. Gr6-/-: sucrose 100 mM, n=17; other compounds, n=18. Gr10-/-, n=18). (B, D, F, and H) Two-way ANOVA with post hoc Tukey’s multiple comparison was used separately for sucrose and fucose, and one-way ANOVA with Tukey’s HSD test was used for KCl, sinigrin, fructose, and nicotine. Different letters labeled indicate significant differences (P<0.05). Suc: sucrose; Fuc: fucose; Sin: sinigrin; Fru: fructose; Nic: nicotine.

Figure 6—source data 1

Electrophysiological responses of larval and adult contact chemosensilla in WT, Gr10-/- and Gr6-/- of Helicoverpa armigera to sucrose and other compounds.

(Figure 6B) The electrophysiological responses of the lateral sensilla styloconica on the maxillary galea of larvae in the WT and two mutants of H. armigera to test compounds. (Figure 6D) The electrophysiological responses of the contact chemosensilla on the antennae of female adults in the WT and two mutants of H. armigera to test compounds. (Figure 6F) The electrophysiological responses of the contact chemosensilla on the fore leg tarsi of female adults in the WT and two mutants of H. armigera to test compounds. (Figure 6H) The electrophysiological responses of the contact chemosensilla on the proboscis of female adults in the WT and two mutants of H. armigera to test compounds.

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Similarly, we compared the electrophysiological responses of the sugar GSNs in contact chemosensilla of the adult antennae, foreleg tarsi, and proboscis of the WT, Gr10-/-, and Gr6-/- to 10 mM and 100 mM of sucrose and fucose, and 100 mM fructose. Additionally, 10 mM nicotine was used as a positive control, that induced electrophysiological responses of bitter GSNs in the top sensilla of antennae and tarsi. The firing rates of the sugar GSNs in the antennal sensilla of Gr6-/- to 10 mM and 100 mM sucrose, 10 mM and 100 mM fucose, and 100 mM fructose were only 32% and 9%, 22% and 11%, and 29% of those in the WT, respectively (Figure 6C–D). The firing rates of the sugar GSNs in antennal sensilla of Gr10-/- to sucrose, fucose, or fructose did not differ from those of the WT adults. The antennal sensilla of the WT, Gr10-/-, and Gr6-/- all showed strong responses to nicotine with no differences (Figure 6C–D). The response patterns of the sugar GSNs in the foreleg tarsi of the WT, Gr10-/-, and Gr6-/- to 10 mM and 100 mM sucrose, 10 mM and 100 mM fucose, and 100 mM fructose were similar to those of the sugar GSNs in antennae (Figure 6E–F). The firing rates of the sugar GSNs in proboscis sensilla of Gr6-/- to sucrose, fucose, and fructose were much lower and even close to zero (Figure 6G–H). The firing rates of the sugar GSNs in tarsal and proboscis sensilla of Gr10-/- to sucrose, fucose, and fructose did not differ from those of the WT adults (Figure 6E–H). The tarsal sensilla of the WT, Gr10-/-, and Gr6-/- responded to nicotine with no difference (Figure 6E–F).

Effects of Gr10 and Gr6 knockout on behavioral responses

To determine the effect of Gr10 and Gr6 knockout on feeding responses of H. armigera larvae, we compared the larval feeding preferences of the WT, Gr10-/-, and Gr6-/- to sucrose by two-choice tests. The Gr10-/- larvae showed no preference for the leaf discs painted with 10 mM sucrose (p=0.4258). However, they still had preference for the discs with 100 mM sucrose (p=0.0141; Figure 7A–B) though their PI value was decreased than those of the WT (Figure 7B). The Gr6-/- larvae were the same as the WT larvae and retained a significant preference for 10 mM or 100 mM sucrose diets (Figure 7A–B). The WT, Gr10-/-, and Gr6-/- larvae all showed similar preference for 10 mM and 100 mM fructose (Figure 7—figure supplement 1A–B).

Figure 7 with 1 supplement see all
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Behavioral responses of WT, Gr10-/- and Gr6-/- larvae and adults of Helicoverpa armigera to sugars and plant tissues.

(A) Feeding area of 5th instar larvae in two-choice tests and the PI value to 10 mM sucrose (n=20). ** p<0.01; ns indicates no significance, p ≥ 0.05 (paired t test). Suc, sucrose. (B) Feeding area of 5th instar larvae in two-choice tests and the PI value to 100 mM sucrose (n=20). * p<0.05; ** p<0.01; *** p<0.001 (paired t test). Suc, sucrose. (C) Feeding amount of 5th instar larvae on cabbage leaves, corn kernels, pea seeds, pepper fruits, and tomato fruits in no-choice tests (n=20). Data were analyzed by one-way ANOVA with Tukey’s HSD test, and different letters labeled on the data of WT, Gr10-/- and Gr6-/- for each plant tissue indicate significant differences (p<0.05). Proboscis extension reflex (PER) in adult females upon (D) antennal stimulation by sucrose concentrations (n=3), (E) antennal stimulation by fucose concentrations (n=3), (F) antennal stimulation by fructose concentrations (n=3), (G) tarsal stimulation by sucrose concentrations (n=3), (H) tarsal stimulation by fucose concentrations (n=3), and (I) tarsal stimulation by fructose concentrations (n=3). (A to I) Data are mean ± SEM. (D to I) Data were analyzed by two-way ANOVA with post hoc Tukey’s multiple comparison. * p<0.05. The red arrow indicates the stimulating site.

Figure 7—source data 1

Behavioral responses of WT, Gr10-/- and Gr6-/- larvae and adults of Helicoverpa armigera to sugars and plant tissues.

(Figure 7A) Feeding area of the WT, Gr10-/- and Gr6-/- 5th instar larvae of H. armigera in two-choice tests of 10 mM sucrose. (Figure 7B) Feeding area of the WT, Gr10-/- and Gr6-/- 5th instar larvae of H. armigera in two-choice tests of 100 mM sucrose. (Figure 7C) The feeding amount of the 5th instar larvae in no-choice tests of cabbage leaf, corn seed, pea seed, pepper fruit, and tomato fruit. (Figure 7D) Proboscis extension reflex (PER) in females of the WT and Gr10-/- and Gr6-/- mutants of H. armigera upon antennal stimulation by sucrose concentrations. (Figure 7E) PER in females of the WT and Gr10-/- and Gr6-/- mutants of H. armigera upon antennal stimulation by fucose concentrations. (Figure 7F) PER in females of the WT and Gr10-/- and Gr6-/- mutants of H. armigera upon antennal stimulation by fructose concentrations. (Figure 7G) PER in females of the WT and Gr10-/- and Gr6-/- mutants of H. armigera upon tarsal stimulation by sucrose concentrations. (Figure 7H) PER in females of the WT and Gr10-/- and Gr6-/- mutants of H. armigera upon tarsal stimulation by fucose concentrations. (Figure 7I) PER in females of the WT and Gr10-/- and Gr6-/- mutants of H. armigera upon tarsal stimulation by fructose concentrations.

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We also compared the feeding amount in 1 hour of the larvae of WT, Gr10-/-, and Gr6-/- on cabbage leaves, corn kernels, pea seeds, pepper fruits, and tomato fruits by no-choice tests. On each of these plant tissues, the Gr10-/- larvae fed significantly less than the WT larvae, but the Gr6-/- larvae fed the same amount as the WT larvae (Figure 7C).

Moreover, we examined the PER of the WT, Gr10-/-, and Gr6-/- female adult antennae and tarsi in response to stimulation of sucrose, fucose, and fructose at different concentrations. When antennae or tarsi were stimulated with 10 mM, 100 mM, or 1000 mM sucrose, fucose, or fructose, Gr6-/- females showed a considerably lower PER percentage than the WT females and even had little or no PER in response to sucrose and fucose, whereas the PER percentage of Gr10-/- females was not different from that of the WT females (Figure 7D–I).

In conclusion, Gr10 plays a key role in sucrose reception by the sugar GSNs in the larval lateral sensilla styloconica, and mediates the feeding preference of larvae to sucrose, whereas Gr6 plays a key role in sensing sucrose, fucose, and fructose by the sugar GSNs in contact chemosensilla of the adult antennae, foreleg tarsi and proboscis, and mediates the related PER behavior of adults.

Discussion

In this study, we reveal the different molecular bases of sucrose reception between H. armigera larvae and adults through ectopic expression and genetic editing of GRs. Gr10, which was highly expressed in the larval maxillary galea, is specifically tuned to sucrose with high sensitivity, whereas Gr6, which was highly expressed in the adult antennae, foreleg tarsi and proboscis, has a broader response spectrum but lower sensitivity to sucrose, indicating that larvae mainly use Gr10 to detect low sucrose in plant tissues, while adults primarily use Gr6 to detect a variety of sugars with high content, including sucrose in nectar (Figure 8).

Figure 8
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Two gustatory receptors in the cotton bollworm, Helicoverpa armigera mainly mediate taste sensation of sugars in the larval and adult foods.

Our findings indicate that the H. armigera larvae and adults adopt different sugar-sensing systems to satisfy their requirements for food selection. The larvae mainly feed on young leaves, flower buds, and fruits of host plants. As a universal phagostimulant, sucrose is the major sugar in plants and considerably varies in content in different tissues and developmental stages. Tomato is a principal host plant of H. armigera. The sucrose content in its leaves generally ranges from 13.72 to 42.06 mM, but that in its fruits generally ranges from 35.2 to 988.22 mM (Schauer et al., 2005). The adults mainly feed on plant nectar. Sucrose and some monosaccharides, especially fructose and glucose, are the main components in nectar, where the sugar content is much higher than that in leaves and fruits. The sugar content in the nectar of cotton plants is 10–34% (which roughly corresponds to 0.5 M–1.7 M; Vansell, 1944; Waller et al., 1981), and that of soybean plants is even higher, around 23–60% (which roughly corresponds to 1.2–3 M; Free, 1993). It is clear that, in their life cycle, a single sugar-sensing mechanism cannot meet the requirements for food selection by this phytophagous insect species. From the perspective of insect and plant co-evolution, using value-based and target-specific sugar-sensing systems is a favorable choice for phytophagous insects to ensure their growth and reproduction on plants.

Although Gr10 plays a major role in sucrose reception in the larval stage, the response of the sugar GSNs in larval lateral sensilla styloconica to sucrose did not completely disappear in Gr10-/- (Figure 6A–B), and the larvae still showed a behavioral preference for the high concentration of sucrose (100 mM; Figure 7B). It is most likely that low-level expressed Gr6 is functional in the GSNs. The PER percentage of Gr6-/- adults was not disappeared when the antennae and tarsi were stimulated by high fructose concentrations (Figure 7F and I); this indicates that fructose-tuned GRs other than Gr6 were involved. Previous studies have shown that Gr9 (Gr4 in Jiang et al., 2015), as an ortholog of DmelGr43a and BmorGr9, is a fructose-tuned GR (Ai et al., 2022; Jiang et al., 2015; Sato et al., 2011; Xu et al., 2012). From our results, knocking out Gr10 or Gr6 is unlikely to be compensated by overexpression of other sugar GRs. One of our recent studies showed that Orco knockout had no significant effect on the expression of most OR, IR and GR genes in adult antennae of H. armigera although some genes were up- or down-regulated to a certain extent (Fan et al., 2022). To elucidate the precise molecular mechanisms of sugar reception in H. armigera is necessary to compare a series of single, double and even multiple Gr knock-out lines and investigate the downstream effects of the GRs.

The larval maxillary galea with only two sensilla styloconica is an ideal system for studying the mechanisms of sugar sensing. In each maxillary galea of H. armigera, the only sugar GSN sensitive to sucrose and fucose is located in the lateral sensillum styloconicum. Based on our results, we speculate that Gr10 and Gr6 are expressed in this GSN with different levels, and mainly determine the response profile of the cell. The firing rate of the cell in Gr10-/- to 1 mM, 10 mM, and 100 mM sucrose was significantly lower than that in WT, but there was no difference between WT and Gr6-/-, indicating that Gr10 mainly determine the sensitivity of this cell to sucrose (Figure 6A–B). In contrast, the firing rate of the cell in Gr6-/- to 10 mM and 100 mM fucose was significantly lower than that in the WT, but there was no difference between WT and Gr10-/-, indicating that Gr6 was also functional in larvae (Figure 6A–B). This can be well explained by the response profiles of the oocytes expressing Gr10, Gr6, and their combination (Figure 4).

Sugars are common phagostimulants in animals, but the molecular basis of sugar perception differs among animals. In mammals, the taste receptors T1R2 and T1R3 combine to complete the perception of all carbohydrate compounds, including sucrose, and both receptors are indispensable (Damak et al., 2003; Li et al., 2002; Nelson et al., 2001; Zhao et al., 2003). In D. melanogaster adults, multiple sugar GRs are involved in sugar reception, different GRs expressed in sweet taste neurons may function as multimers (Dahanukar et al., 2001; Dahanukar et al., 2007; Fujii et al., 2015; Jiao et al., 2007; Jiao et al., 2008; Slone et al., 2007). Gr5a and Gr64a are widely used for responses to complementary subsets of sugars in labellar sweet taste neurons (Dahanukar et al., 2007), and Gr64f is also required broadly as a coreceptor for the detection of sugars (Jiao et al., 2008). The recent successful ectopic expression of single sugar GRs in olfactory neurons confirmed that each sugar GR is directly involved in ligand recognition (Freeman et al., 2014). Sweet sensing neurons or receptors have not been identified in the larval peripheral taste system (Kwon et al., 2011). Sugar perception in Drosophila larvae has been assigned to the fructose receptor Gr43a, which, however, is expressed in pharyngeal sensory organs, foregut, and in the brain, but absent from external taste neurons (Mishra et al., 2013). This is most likely due to the fact that fruit fly larvae prefer to feed on rotting fruits at the optimum stage of fermentation, which contain fructose as the main sugar. Anyway, the sucrose sensing neurons were recently identified in the larval primary taste center (Maier et al., 2021). In honeybees, AmGr1 acts as a GR for certain sugars other than fructose, and AmGr2 acts as a coreceptor with AmGr1 (Jung et al., 2015). AmGr3 is tuned to fructose and is phylogenetically closely related to the DmGr43a (Değirmenci et al., 2020; Takada et al., 2018). The whitefly Bemisia tabaci consistently choose diets containing higher sucrose concentrations. It has been shown that BtabGr1 displayed significant sucrose specificity when expressed in Xenopus oocytes, and silencing of this GR significantly interfered with the ability of B. tabaci adults to detect sucrose in the phloem sap (Aidlin Harari et al., 2023).

The most studied phytophagous insects for sugar perception are Lepidopterans. BmGr9 in B. mori (Morinaga et al., 2022; Sato et al., 2011), HarmGr9 in H. armigera named as HarmGr4 by Jiang et al., 2015; Xu et al., 2012, PxGr43a-1 in P. xylostella (Liu et al., 2020), and SlGr8 in Spodoptera litura (Liu et al., 2019) were all the orthologs of DmGr43a in D. melanogaster (Miyamoto et al., 2012), and tuned to fructose without complexing with other GRs. BmGr4 was recently identified as a receptor for sucrose and glucose and may function as a chemosensor for nutritional compounds in both midgut and brain (Mang et al., 2022). In this study, we find Gr10 and Gr6 were highly expressed in the larval and adult taste organs, respectively. The experiments on ectopic expression in Xenopus oocytes shows that Gr10 specifically responded to sucrose, Gr6 responded to fucose and sucrose, and weakly to fructose, and the combination of Gr10 and Gr6 responded to sucrose and weakly to fucose (Figure 4A–B). These results indicate that Gr10 and Gr6 are capable of forming functional receptors singly, and the function of the two co-expressed receptors is not equal to the sum of the functions of the two receptors (Figure 4). When further tracing the genomic locations of the two GR genes, we confirm that Gr10 and Gr6 together with other 6 sugar GR genes (except for Gr9) are tandemly duplicated on the same scaffold of H. armigera (Pearce et al., 2017). The sugar GR gene cluster and interactions between GRs could provide a degree of evolutionary and regulatory flexibility that may meet the needs of the insect to sense subtle sugar components and concentrations in food sources in a changing environment (Delventhal and Carlson, 2016). In this study, the expression patterns of nine sugar GRs in three taste organs of adult H. armigera show that there is a disparity in GRs, specifically GR5 and GR6, between the female antenna, tarsi and proboscis, which may be an evolutionary adaptation reflecting subtle differentiation in the function of these taste organs in adult foraging. Antennae and tarsi play a role in the exploration of potential sugar sources, while the proboscis plays a more precise role in the final decision to feed.

In this work, we report for the first time the molecular basis of sucrose reception in external taste neurons of a Lepidopteran insect, and discover that different taste receptors are used for food selection in H. armigera larval and adult stages. These findings greatly improve our understanding of “sweet” taste of phytophagous insects. According to the phylogenetic tree of sugar GRs in insects, Gr10 is clustered in the same branch with BmorGr5 of Bombyx mori, whereas Gr6 is clustered in another branch with BmorGr6 (Figure 3A). GRs closely associated with Gr10 and Gr6 are also found in other Lepidopteran species such as D. plexippus, H. melpomene, and P. xylostella (Figure 3A). Therefore, we speculate that similar sugar-sensing mechanisms may also exist in other Lepidopteran species, which is worth verifying in these species in the future. Knockout of Gr10 or Gr6 led to a significant decrease in sugar sensitivity and food preference of the larvae and adults of H. armigera, respectively, which is bound to bring adverse consequences to the survival and reproduction of the insects. Therefore, studying the molecular mechanisms underlying sugar perception in phytophagous insects would provide new insights into the behavioral ecology of this highly diverse and important group of insects, and may also provide new means for agricultural pest control by blocking or disrupting sugar receptors.

Materials and methods

Insects

Helicoverpa armigera were collected from Xuchang (Henan Province, China) and raised in an indoor environment (27 ± 1°C, 70–80% humidity) with a 16 : 8 hr light: dark cycle. The larvae fed on artificial diet (mainly including wheat bran, wheat germ, and tomato paste) in a glass tube (I.D., 2.5 cm; length, 8 cm). When the larvae reached the 3rd instar, they were transferred to a new glass tube and raised individually until pupation. Female and male moths were raised separately until they became sexually mature and then moved to a cage for mating. Since the taste system of the female is similar to that of the male and the nutrient requirements are more critical for females (Jiang et al., 2015; Zhang et al., 2010), the virgin female adults were used in the related experiments.

Xenopus laevis

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Xenopus laevis were fostered at 20 ± 1°C in the Animal Laboratory Center, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences. They fed on artificial frog food (mainly including fish meal, yeast extract powder, high-gluten flour). All experiments were approved by the Animal Care and Use Committee of the Institute of Zoology, Chinese Academy of Sciences and followed the Guide for the Care and Use of Laboratory Animals (IOZ17090-A).

Scanning electron microscopy

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Just as our previous study on tarsal contact chemosensilla on fore legs of female moths (Zhang et al., 2010), the samples of antennae or proboscis in adult female H. armigera were mounted directly on stainless steel sample buds and sputter-coated with a 10-nm-thick layer of gold. Photomicrographs were obtained with a scanning electron microscope (HITACHI SU8010) in the Institute of Microbiology, Chinese Academy of Sciences.

Tip-recording

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The tip-recording technique based on a previously described methods (Hodgson et al., 1955; van Loon, 1990; Zhang et al., 2010) was used to record the electrophysiological responses of the lateral and medial sensilla styloconica on larval maxillary galea and the contact chemosensilla on the top areas of adult antennae, tarsi and proboscis of H. armigera. A glass capillary filled with the test compound solution, into which a silver wire was inserted, was placed in contact with the contact chemosensillum to be recorded as the recording electrode. The tip diameter of the electrode was about 50 μm, suitable for recording from a single sensillum. Action potentials (spikes) generated during the first second after stimulus onset were amplified by a preamplifier and was sampled with a computer equipped with a Metrabyte DAS16 A/D conversion board. The amplifier used an AD 515 K (Analog Devices) integrated circuit in the first stage, yielding <1 pA input bias current, 1015 Ohm and 0.8 pF input impedance. An interface (GO-box) was used for signal conditioning. This involved a second-order band pass filter (–3 dB frequencies: 180 and 1700 Hz). Stimuli were dissolved in 2 mM KCl, which was used as the control. Two pentoses (arabinose and xylose), four hexoses (fructose, fucose, galactose, and glucose), and two disaccharides (sucrose and trehalose) (Appendix 1—key resources table) were used as sugar stimuli. Each sugar first tested at 10 mM to screen active compounds, which were then tested in a range of concentrations in dose-response assays (0.01 mM, 0.1 mM, 1 mM, 10 mM, and 100 mM). To avoid possible adaptation of the contact chemosensilla tested, the interval between two successive stimulations was at least 3 min. Digitized traces were analyzed by means of SAPID Tools software version 3.5 (Smith et al., 1990) and Autospike 3.7 (Syntech, Buchenbach, Germany). The spikes were sorted on the basis of typical biphasic waveforms and spike amplitudes, and the frequency of the same type of spikes was counted from the first second after stimulation.

In recording of electrophysiological responses of larvae, the first day of larvae in the 5th instar were used. To guarantee all test caterpillars were in the same stage, we first selected 4th instar larvae which were preparing to undergo ecdysis, and then transferred them to a glass tube with green pepper. The test larva was starved for approximately 2 hr before recording. The head was cut and fixed in a silver holder which was connected to a preamplifier with a copper miniconnector. The lateral and medial sensilla styloconica on larval maxillary galea were exposed for testing electrophysiological responses. About 12–13 replicates were set for each treatment.

The virgin female moths on the second day after eclosion were used for recording electrophysiological responses (Jiang et al., 2015; Zhang et al., 2010). They were only fed with ddH2O. When testing sensilla on a tarsus, the foreleg was cut between coxa and femur, and the silver holder connected to the amplifier was inserted into the femur. When testing sensilla on the antennae and proboscis, the head and thorax without all legs were reserved. The silver holder was inserted into the thorax. The orientation of the taste organ was gently adjusted to allow the sensilla to be touched by the electrode. To guarantee the sensilla was steadily exposed, the distal part of antenna or proboscis was fixed on a small platform with double sided adhesive tape. For each individual, three sensilla on the top areas of antennae, foreleg tarsi, or proboscis were chosen for testing electrophysiological responses, and about 15–21 replicates were used for each treatment.

Two-choice tests

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We determined the behavioral responses to sugars of the H. armigera larvae using the two-choice test as previously described with small modifications (Chen et al., 2022). We used the leaf of cabbage (Brassica oleraceaas, Shenglv-7) as the substrate since it is not a favorite food for larvae. Circular cabbage leaf discs of 1 cm in diameter were prepared. The upper surface of the treated leaf disc was painted with the 35.2 μL sugar solution with 0.01% Tween 80 (CAS: 9005-55-6, Sigma-Aldrich, St Louis, USA) using a paintbrush, and the control leaf disc was painted with 35.2 μL ddH2O with 0.01% Tween 80. The 0.01% Tween 80 was added to reduce the surface tension of the cabbage leaves and increase the malleability of the test sugar solution (Blaney and Simmonds, 1988). The feeding preference of larvae to eight sugars including arabinose, fructose, fucose, galactose, glucose, sucrose, trehalose, and xylose (Appendix 1—key resources table) was tested at 10 mM. 0.01 mM, 0.1 mM, 1 mM, 10 mM, and 100 mM sucrose and fructose were used in a dose-response assay. The intact and the remaining leaf discs were scanned by DR-F120 scanner (Canon, Tokyo, Japan), and the area of intact and remaining leaf discs were calculated by ImageJ softwere (NIH) (Abràmoff et al., 2004; Chen et al., 2022). The feeding area = the area of intact leaf disc – the area of remaining leaf disc. The preference index (PI) was calculated according to the following formula: PI = (the feeding area of test leaf discs – the feeding area of control leaf discs) / (the feeding area of test leaf discs +the feeding area of control leaf discs). Twenty replicates were run.

Adult proboscis extension reflex (PER) tests

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We determined the behavioral responses to sugars of the H. armigera female adults using the proboscis extension reflex (PER) test as previously described with some modifications (Jiang et al., 2015). Arabinose, fructose, fucose, galactose, glucose, sucrose, trehalose, and xylose (Appendix 1—key resources table) were first tested at 100 mM to screen active compounds, which were then tested in a range of concentrations in dose-response assays (0.01 mM, 0.1 mM, 1 mM, 10 mM, 100 mM, and 1000 mM). In brief, the virgin females on the first day after eclosion were used. Each moth was harnessed in a 1 mL pipette with a tip removed, from which its head protruded, and its antennae, proboscis and forelegs were permitted to move freely. They were allowed to adapt to the environment for about 12 hr, and satiated with ddH2O until the trial. The testing moth was stimulated to the distal part of one antenna with a given test solution in an absorbent cotton ball, and the PER in response to the stimulation was recorded. The interval between two successive stimulations was 5 min, during which the distal part of the antenna was washed, and the insect was fed with ddH2O if needed. Four hours later, two foreleg tarsi of the moth were simultaneously stimulated with the test solutions in the same way as the antenna was stimulated, and the PER was recorded. 20–30 individual moths were used for each set of tests. The experiments were repeated three times with groups of insects from three different rearing batches.

RNA extraction and cDNA synthesis

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The galea of larvae, and the antennae, foreleg tarsi, proboscis, and abdomen of both male and female adults were removed and directly placed into 1.5 mL Eppendorf tubes (Axygen, Tewksbury, MA, USA) containing 1 mL QIAzol Lysis Reagent (QIAGEN, Hilden, Germany); then, the extraction of total RNA was carried out following the manufacturer’s protocols. After extraction, the RNA quality and concentration were determined with a NanoDrop 2000 spectrophotometer (Thermo Fisher Scientific, Waltham, MA, USA). First, for cDNA synthesis 2 μg total RNA was mixed with 1 μL oligo-dT (Promega, Madison, WI, USA); then, the mixture was heated at 70 °C 5 min and followed by an ice bath for 5 min. M-MLV reverse transcriptase (Promega, Madison, WI, USA) was added; subsequently, the mixture was incubated at 42 °C for 90 min. The products were dissolved in ddH2O and stored at −20 °C for later use.

Gene cloning of sugar GRs

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According to the reported sugar GR sequence of H. armigera (the GenBank accession number is provided in Supplementary file 1) for PCR cloning (Pearce et al., 2017; Xu et al., 2017), we designed specific primers (Supplementary file 2). The GenBank accession number of Gr9 (named as Gr4 in Jiang et al., 2015) nucleic acid sequence and protein sequence were JX982536.2 and AKG90011 in Jiang et al., 2015, respectively (Jiang et al., 2015). The Q5 High-fidelity DNA Polymerase (New England Biolabs, Beverly, MA, USA) was used to clone sugar sequences except Gr10. The PCR instrument was Applied Biosystems (Thermo Fisher Scientific, Woodlands, Singapore) and the sequence amplification procedure was as follows: 98 °C for 10 s, 40 cycles (60 °C for 30 s, 72 °C for 1 min), and final extension at 72 °C for 2 min. TransStart FastPfu DNA Polymerase (TransGen Biotech, Beijing, China) was used to clone the Gr10 sequence. The amplification procedure was as follows: 95 °C for 1 min, 40 cycles (95 °C for 20 s, 50 °C for 20 s, 72 °C for 45 s), and 72 °C for 5 min. PCR products were purified, subcloned into pGEM-T vector according to the manufacturer’s instructions (Promega), and sequenced. Gr4 (402 amino acids) and Gr7 (428 amino acids) were obtained from the tissues of male and female H. armigera tarsi, respectively. Gr5 (482 amino acids), Gr6 (452 amino acids), and Gr10 (460 amino acids) were all obtained from the tissues of female H. armigera proboscis. Gr8 (427 amino acids) and Gr9 (474 amino acids) was obtained from the tissues of female H. armigera antennae. Finally, Gr11 (435 amino acids) and Gr12 (434 amino acids) were obtained from the tissues of female and male H. armigera abdomens, respectively. No alternatively spliced transcript variants were found in the gene cloning of all the sugar GRs studied.

Xu et al., 2017 reported that Gr10 was a pseudogene because the nucleotide sequence changed at positions 521–524 compared with the sequence reported in Pearce et al., 2017, and it terminated early during translation. The Gr10 sequence that we obtained had no termination on the same position. Aligning the Gr10 sequences of Pearce et al., 2017 and Xu et al., 2017 revealed that Gr10 in Xu et al., 2017 had 22 more amino acids at the C-terminus than that in Pearce et al., 2017. Therefore, we designed upstream and downstream primers of Gr10 from the N-terminus in Pearce et al., 2017 and the C-terminus in Xu et al., 2017. Finally, we obtained the full-length sequence of Gr10 with 460 amino acids.

Phylogenetic analysis of sugar GRs

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The phylogenetic tree was built with H. armigera and sugar GRs of eight other insect species: Diptera, Drosophila melanogaster (Robertson et al., 2003), Aedes aegypti (Kent et al., 2008), and Anopheles gambiae (Hill et al., 2002); Hymenoptera, Apis mellifera (Robertson and Wanner, 2006); and Lepidoptera, Danaus plexippus (Zhan et al., 2011), Heliconius melpomene (Briscoe et al., 2013), Bombyx mori (Guo et al., 2017), and Plutella xylostella (Engsontia et al., 2014). Amino acid sequences were aligned with MAFFT version 7.455 (Rozewicki et al., 2019), and gap sites were removed with trimAI version 1.4 (Capella-Gutiérrez et al., 2009). The phylogenetic tree was constructed using the maximum likelihood method in IQ-tree version 6.8 (Nguyen et al., 2015). The bootstrap algorithm was based on the Jones–Taylor–Thornton (JTT)+F + G4 model and run 5000 times. Visualization and later modification of phylogenetic trees were performed in FigTree version 1.4.4 (http://tree.bio.ed.ac.uk/software/figtree/).

Quantitative real-time PCR

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The relative expression levels of sugar GRs in H. armigera were analyzed by quantitative real-time PCR (qRT-PCR) (Livak and Schmittgen, 2001). The specific primers (Supplementary file 3) were designed by Primer3plus (http://www.primer3plus.com/cgi-bin/dev/primer3plus.cgi). qRT-PCR was conducted with a QuantStudio 3 Real-Time PCR System (Thermo Fisher Scientific, Waltham, MA, USA). All reactions included 10 μL SYBR Premix Ex Taq (TaKaRa, Shiga, Japan); 0.4 μL (10 mM) primer (forward and reverse), 2 μL template DNA, 0.4 μL ROX Reference Dye II Dye, 6.8 μL ddH2O (20 μL total). The procedure was as follows: 95 °C for 30 s; 40 cycles of 95 °C for 5 s and 60 °C for 34 s; 95 °C for 15 s; 60 °C for 1 min; and 95 °C for 15 s. 18 S ribosomal RNA (GenBank number: KT343378.1) was used as the standard gene because the Ct value of this gene was not different between different tissues (Sharath Chandra et al., 2014). The relative expression levels of the specific genes were quantified by using the 2−ΔCt method, where ΔCt is the Ct value of GR genes subtracted from that of 18 S. Three biological replicates were run for all experiments, and there were 30–100 insects in each replicate.

Ectopic expression and functional analysis of sugar GRs

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The sugar GRs sequences which were used for ectopic expression and functional identification need to contain restriction enzyme sites and Kozak sequences (the primer sequences of H. armigera sugar GRs for functional identification are provided in Supplementary file 4). The full-length sequence of the sugar receptor was cloned from cDNA and transferred into pGEM-T vector (Promega, Madison, WI, USA). After cleavage by appropriate endonucleases, it was linked to pCS2+ vector. pCS2+ vector was linearized and cRNA was synthesized according to the protocol of the mMESSAGE mMACHINE SP6 Kit (Ambion, Austin, TX, USA). The products were dissolved in ddH2O, diluted to 3000 ng/μL, and then stored at −80 °C until use.

Each of Gr4, Gr5, Gr6, Gr7, Gr8, Gr10, Gr11, Gr12, Gr5 +Gr6, and Gr10 +Gr6 was expressed in oocytes. The acquisition of X. laevis oocytes was performed following a previously described protocol (Nakagawa and Touhara, 2013). X. laevis were anesthetized by a mixture of ice and water for 30 min; then, the abdomen was cut to obtain oocytes. The Xenopus oocytes were treated with 2 mg/mL collagenase type I (Sigma-Aldrich, St Louis, MO, USA) in a calcium-free saline buffer (82.5 mM NaCl, 2 mM KCl, 1 mM MgCl2, 5 mM HEPES, pH = 7.5; the reagents are provided in Appendix 1—key resource table) at room temperature for 25 min. The oocytes were microinjected with 27.6 nL (80 ng) cRNA of each GR by SMART Touch (World Precision Instruments, Sarasota, FL, USA). For Gr10 +Gr6 or Gr5 +Gr6, a cRNA mixture with a ratio of 1:1 was used. The oocytes microinjected with RNAse-free water were used as the control. Then, the oocytes were incubated for 3–4 days at 16 °C in the bath solution (96 mM NaCl, 2 mM KCl, 1 mM MgCl2, 1.8 mM CaCl2, 5 mM HEPES, pH 7.5; reagents are provided in Appendix 1—key resource table).

The whole-cell current was recorded with a two-electrode voltage clamp, the procedures as previously described (Jiang et al., 2015). The glass electrode, filled with 3 M KCl, was inserted into the oocytes and maintained at 0.2–2.0 MΩ. The signal was amplified with an OC-725C amplifier (Warner Instruments, Hamden, CT, USA) at a holding potential at –80 mV all the time, low-pass filtered at 50 Hz, and digitized at 1 kHz. The sugars (Appendix 1—key resource table) were dissolved in 1×Ringer solution (96 mM NaCl, 2 mM KCl, 1 mM MgCl2, 1.8 mM CaCl2, 5 mM HEPES, pH 7.5) as the test solution. The oocytes were stimulated by test solution via the perfusion system for 20 s each time, and then washed by 1×Ringer solution (Nakagawa and Touhara, 2013). The concentration of 100 mM for each chemical was randomly used at first, and then concentration gradients (ranging from 0.01 mM, 0.1 mM, 1 mM, 10 mM, 50 mM, 100 mM, 250 mM, and 500 mM) were recorded later when a clear current response was detected. Data were obtained and analyzed using Digidata 1322 A and pCLAMP software version 10.4.2.0 (Axon Instruments Inc, Foster City, CA, USA).

In vitro synthesis of single-guide RNA

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Gr10 and Gr6 single-guide RNA (sgRNA) position screening was conducted at http://www.rgenome.net/cas-designer/. The sgRNA target site of Gr10 was designed on exon 4 (Figure 5B), and the sgRNA target site of Gr6 was designed on exon 2 (Figure 5E). The Gr10 and Gr6 sgRNA primers (Supplementary file 5) were designed based on the principles provided by the GeneArt Precision gRNA Synthesis Kit manual (Invitrogen, Vilnius, Lithuania). The sgRNAs were synthesized by the GeneArt gRNA Prep Kit (Invitrogen, Vilnius, Lithuania), and purified by the GeneArt gRNA Clean Up Kit (Invitrogen, Vilnius, Lithuania). The products were dissolved in RNAse-free water and then stored at −80 °C until use. TrueCut Cas9 protein 2 (Invitrogen, Vilnius, Lithuania) was diluted to 500 ng/mL and stored at −20 °C.

Embryo microinjection

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The fresh laid eggs of H. armigera were placed on microscope slides and fixed on double-sided adhesive tape. These operations were finished within 2 hr after oviposition. Microinjection into these pretreated eggs was performed with a mixture of Gr10 (or Gr6) sgRNA and Cas9 protein, with final concentrations at 250 ng/μL and 100 ng/μL, respectively. Microinjection was finished using a PLI-100A PICO-INJECTOR (Warner Instruments, Hamden, Connecticut, USA). The injected eggs were placed in a 10 cm Petri dish, covered with wet filter paper, and incubated at 25 °C until hatching.

DNA extraction and mutagenesis detection

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To screen Gr10 (or Gr6) homozygous mutants, the tarsi on hindlegs were used for DNA extraction with the Animal Tissue PCR Kit (TransGen Biotech, Beijing, China). Then, we used PCR to amplify the sequences that covered Gr10 or Gr6 sgRNA targeting sites. The reactions were 50 μL total and included: 2 μL template, 1 μL forward primer, 1 μL reverse primer (mutation detection primer sequences are provided in Supplementary file 5), 25 μL Premix Taq (Takara, Dalian, China), and 19 μL ddH2O. The procedure was as follows: 94 °C for 3 min, 40 cycles [94 °C for 30 s, 55 °C (Gr6), or 60 °C (Gr10) for 30 s], 72 °C for 1 min, and finally 72 °C for 5 min. The PCR products were sent to Beijing Genomics Institute (BGI) or the SinoGenoMax for Sanger sequencing, and the sequence results were analyzed by SnapGene software version 4.3.8 (from Insightful Science; available at https://www.snapgene.com/) and SeqMan software version 7.1 (DNASTAR, Madison, WI, USA).

Screening homozygous mutants

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Gr10 and Gr6 homozygous mutant lines (Gr10-/- and Gr6-/-, respectively) were established. A mixture of Gr10 sgRNA and Cas9 protein was co-injected into each of 732 eggs that were laid within 2 hr. After hatching, the larvae were raised on artificial diet, and finally 125 G0 adults were obtained. Among 125 G0 adults, 15 G0 harbored multiple targeted mutations. Each mutated G0 was backcrossed with the wild type to obtain G1 offspring. From 57 G1 adults, one DNA strands containing 4 bp-deleted modifications, were in-crossed to establish stable lines; for the expanding mutant population, 4 bp-deleted homozygotes of G2 moths were in-crossed to generate homozygotes G3 moths (Figure 5A). Similarly, a mixture of Gr6 sgRNA and Cas9 protein was co-injected into each of 695 eggs. After hatching, the larvae were raised on artificial diet, and finally 132 G0 adults were obtained. Among 132 G0 adults, 12 G0 harbored multiple targeted mutations. From 66 G1 adults, one DNA strands containing 17 bp-deleted modifications, were in-crossed to establish stable lines; for the expanding mutant population, 17 bp-deleted homozygotes of G2 moths were in-crossed to generate homozygotes G3 moths (Figure 5D). The related mutation rates are provided in Supplementary file 6.

To confirm the deletion in Gr10-/- and Gr6-/- at mRNA level, the total RNA of the female adult proboscis of WT, Gr10-/- and Gr6-/- were extracted, and the cDNA was synthesized following the previous gene cloning protocol. The specific primers (Supplementary file 5) were designed based on the DNA exon sequences of Gr10 and Gr6, which covered the DNA-confirmed sgRNA targeting sites. During mRNA sequence cloning, the PCR reaction conditions are largely the same as those used for DNA sequence confirmation, with little modification (the annealing temperature reduced to 50 °C). The nucleic acid sequences of the identified Gr10 and Gr6 were aligned manually by tools at the T-Coffee web server (Notredame et al., 2000).

Off-target effects detection

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The potential off-target sites were predicted as previously described (Chen et al., 2020). The online software Cas-OFFinder (http://www.rgenome.net/cas-offinder/) was used to blast the Gr10 and Gr6 sgRNAs against the H. armigera genome (Pearce et al., 2017), with mismatch number ≤3. According to the blast results, Gr10 has no potential off-target site, and one sequence (GenBank accession number: LOC126054697) in the presence of Gr6 sgRNA showed a potential off-target region. The specific primers (Supplementary file 5) were designed based on the DNA sequence of LOC126054697 covering the potential off-target sites. The DNA extraction and mutagenesis detection methods were described previously. Five individual replicates were performed.

To further illustrate that the mutation strains did not exhibit off-target effects, the electrophysiological responses of larvae and the biological parameters were compared among WT, Gr10-/-, and Gr6-/-. The larval medial sensilla styloconica to xylose, the body weight of the fifth instar larvae on the first day, the adult lifespan, and the number of eggs laid were recorded. Five to sixteen individuals were recorded.

Effects of Gr10 or Gr6 knockout on sugar reception in larvae and adults

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We recorded the electrophysiological responses of contact chemosensilla in the wild type (WT), Gr10-/-, and Gr6-/- by the tip-recording technique as described earlier. Concentration of 1 mM, 10 mM, and 100 mM for sucrose and fucose were used as stimuli for lateral sensilla styloconica in larvae. As the response thresholds of sugar GSNs in adults were higher than those in larvae, concentrations of 10 mM and 100 mM for sucrose and fucose and 100 mM for fructose were used for adult contact chemosensilla. 2 mM KCl was used as the control for both larval and adult contact chemosensilla. 10 mM sinigrin and 10 mM nicotine were used as a positive control (induced the response of a bitter cell in the same sensilla) for larval and adult contact chemosensilla, respectively. All stimuli were tested randomly, and 12–20 replicates were set for each experiment.

Effects of Gr10 or Gr6 knockout on behavioral responses of larvae to sugars and plant tissues

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The feeding preference of WT, Gr10-/-, and Gr6-/- larvae to 10 mM and 100 mM sucrose was investigated in two-choice tests as described earlier. 20 replicates were set for each experiment. We also performed the no-choice tests to measure the feeding amount of WT, Gr10-/-, and Gr6-/- larvae in 1 hr on leaves of cabbage (Brassica oleraceaas, Shenglv-7), corn kernels of maize (Zea mays, Jingke-968), seeds of pea (Pisum sativum, Changshouren), fruits of pepper (Capsicum frutescens, Changjian), and fruits of tomato (Solanum lycopersicum, Ailsa Craig-LA2838A). Fifth instar larvae on the first day after molting were starved for 2.5 hr before testing. Each plant tissue was weighed and put into a Petri dish (10 cm diameter ×2 cm depth; Corning, Wujiang, China), and then one larva was introduced. The larva was removed after 1 hr, and the rest of the plant tissue was weighed. Petri dishes with plant tissues but no caterpillar was used to measure water evaporation of the plant tissues. The feeding amount of larvae is calculated based on the weight changes of the plant tissue before and after being fed. Twenty replicates were set for each experiment.

Effects of Gr10 or Gr6 knockout on behavioral responses of adults to sugars

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The behavioral responses of the female adults of WT, Gr10-/-, and Gr6-/- to sugars were determined by using the PER test as described earlier. sucrose, fucose, and fructose at the concentrations of 10 mM, 100 mM, and 1000 mM were tested randomly to antennae and tarsi. H2O was used as the control. All the experiments were repeated three times, and 20 individual moths were used for each set of tests.

Statistical analysis

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Statistical analyses were performed by SPSS 20 (IBM, Chicago, IL, USA) and GraphPad Prism 8.2.1 (Dotmatics, San Diego, CA, USA). For the tip-recording data and the PER data, the comparison between test compounds and the control was performed using two-tailed independent-samples t test. For the two-choice feeding test, paired-samples t test was used. The data of dose-response curves in tip-recording, PER experiments and two-electrode voltage-clamp recording, and gene relative expression levels and feeding amount in the no-choice test were analyzed by one-way ANOVA with Tukey’s HSD tests. The comparison among mutation strains and WT in electrophysiological and PER experiments were analyzed by two-way ANOVA with post hoc Tukey’s multiple comparison. All analytical methods were tested at p<0.05 for significant differences.

Appendix 1

Appendix 1—key resources table
Reagent type (species) or resourceDesignationSource or referenceIdentifiersAdditional information
Gene (Helicoverpa armigera)Gr4GenBankOP251144More details about this gene see Supplementary file 1.
Gene (H. armigera)Gr5GenBankOP251145More details about this gene see Supplementary file 1
Gene (H. armigera)Gr6GenBankOP251146More details about this gene see Supplementary file 1
Gene (H. armigera)Gr7GenBankOP251147More details about this gene see Supplementary file 1
Gene (H. armigera)Gr8GenBankOP251148More details about this gene see Supplementary file 1
Gene (H. armigera)Gr9GenBankXM_049843199More details about this gene see Supplementary file 1
Gene (H. armigera)Gr10GenBankOP251149More details about this gene see Supplementary file 1
Gene (H. armigera)Gr11GenBankOP251150More details about this gene see Supplementary file 1
Gene (H. armigera)Gr12GenBankOP251151More details about this gene see Supplementary file 1
Commercial assay or kitRNeasy Plus Universal Mini KitQiagenCat# 73404
Commercial assay or kitQ5 High-Fidelity DNA PolymeraseNEBCat# M0491
Commercial assay or kitTransStart FastPfu DNA PolymeraseTransGen BiotechCat# AP221-01
Commercial assay or kitM-MLV reverse transcriptasePromegaCat# M1701
Commercial assay or kitSYBR Premix Ex TaqTakaraCat# RR820
Commercial assay or kitmMESSAGE mMACHINE SP6AmbionCat# AM1340
Commercial assay or kitGeneArt gRNA Clean Up KitInvitrogenCat#A29377
Commercial assay or kitGeneArt gRNA Prep KitInvitrogenCat#A29377
Commercial assay or kitTrueCut Cas9 protein 2InvitrogenCat#A36498
Commercial assay or kitAnimal Tissue PCR KitTransGen BiotechCat#AD201-01
Chemical compound, drugL - (+) - ArabinoseSigma-AldrichCAS: 5328-37-0
Chemical compound, drugD - (-) - FructoseSigma-AldrichCAS: 57-48-7
Chemical compound, drugL - (-) - FucoseSigma-AldrichCAS: 2438-80-4
Chemical compound, drugD - (+) - GalactoseSigma-AldrichCAS: 59-23-4
Chemical compound, drugD - (+) - GlucoseSigma-AldrichCAS: 50-99-7
Chemical compound, drugD - (+) - MannoseSigma-AldrichCAS: 3458-28-4
Chemical compound, drugD - (+) - XyloseSigma-AldrichCAS: 58-86-6
Chemical compound, drugD - Lactose monohydrateSigma-AldrichCAS: 64044-51-1
Chemical compound, drugD - (+)-Maltose monohydrateSigma-AldrichCAS: 6363-53-7
Chemical compound, drugSucroseSigma-AldrichCAS: 57-50-1
Chemical compound, drugD - (+) - Trehalose dihydrateSigma-AldrichCAS: 6138-23-4
Chemical compound, drugSodium chlorideSigma-AldrichCAS: 7647-14-5
Chemical compound, drugPotassium chlorideSigma-AldrichCAS: 7447-40-7
Chemical compound, drugMagnesium chloride hexahydrateSigma-AldrichCAS: 7791-18-6
Chemical compound, drugHEPESSigma-AldrichCAS: 7365-45-9
Software, algorithmSAPID Tools software version 3.5Smith et al., 1990;
Software, algorithmAutospike 3.7Syntech
Software, algorithmMAFFT version 7.455Rozewicki et al., 2019
Software, algorithmtrimAI version 1.4Capella-Gutiérrez et al., 2009;
Software, algorithmIQ-tree version 6.8Nguyen et al., 2015http://iqtree.org/
Software, algorithmpCLAMP software version 10.4.2.0Axon Instruments IncRRID:SCR_011323
Software, algorithmSnapGene software version 4.3.8Insightful Sciencehttps://www.snapgene.com/
Software, algorithmSeqMan software version 7.1DNASTARhttps://www.dnastar.com/
Software, algorithmSPSS 20IBMhttps://www.ibm.com
Software, algorithmGraphPad Prism 8.2.1Dotmaticshttps://www.graphpad.com/
OtherPrimers for full-length cloning of GRsThis papersee Supplementary file 2
OtherPrimers for qRT-PCRThis papersee Supplementary file 3
OtherPrimers for Xenopus oocytes expression systemThis papersee Supplementary file 4
OtherPrimers for experiments of mutant strains establishmentThis papersee Supplementary file 5

Data availability

Sequencing data have been deposited in GenBank under accession codes OP251144, OP251145, OP251146,OP251147,OP251148, OP251149, OP251150, and OP251151. All data generated or analysed during this study are included in the manuscript and supporting files; source data files have been provided for Figures 1–8.

The following data sets were generated
    1. Zhang SS
    2. Wang PC
    3. Ning C
    4. Yang K
    5. Li GC
    6. Cao LL
    7. Huang LQ
    8. Wang CZ
    (2024) NCBI GenBank
    ID OP251144. The sucrose taste receptor of caterpillar is different from that of moth.
    https://www.ncbi.nlm.nih.gov/nuccore/OP251144
    1. Zhang SS
    2. Wang PC
    3. Ning C
    4. Yang K
    5. Li GC
    6. Cao LL
    7. Huang LQ
    8. Wang CZ
    (2024) NCBI GenBank
    ID OP251145. The sucrose taste receptor of caterpillar is different from that of moth.
    https://www.ncbi.nlm.nih.gov/nuccore/OP251145
    1. Zhang SS
    2. Wang PC
    3. Ning C
    4. Yang K
    5. Li GC
    6. Cao LL
    7. Huang LQ
    8. Wang CZ
    (2024) NCBI GenBank
    ID OP251146. The sucrose taste receptor of caterpillar is different from that of moth.
    https://www.ncbi.nlm.nih.gov/nuccore/OP251146
    1. Zhang SS
    2. Wang PC
    3. Ning C
    4. Yang K
    5. Li GC
    6. Cao LL
    7. Huang LQ
    8. Wang CZ
    (2024) NCBI GenBank
    ID OP251147. The sucrose taste receptor of caterpillar is different from that of moth.
    https://www.ncbi.nlm.nih.gov/nuccore/OP251147
    1. Zhang SS
    2. Wang PC
    3. Ning C
    4. Yang K
    5. Li GC
    6. Cao LL
    7. Huang LQ
    8. Wang CZ
    (2024) NCBI GenBank
    ID OP251148. The sucrose taste receptor of caterpillar is different from that of moth.
    https://www.ncbi.nlm.nih.gov/nuccore/OP251148
    1. Zhang SS
    2. Wang PC
    3. Ning C
    4. Yang K
    5. Li GC
    6. Cao LL
    7. Huang LQ
    8. Wang CZ
    (2024) NCBI GenBank
    ID OP251149. The sucrose taste receptor of caterpillar is different from that of moth.
    https://www.ncbi.nlm.nih.gov/nuccore/OP251149
    1. Zhang SS
    2. Wang PC
    3. Ning C
    4. Yang K
    5. Li GC
    6. Cao LL
    7. Huang LQ
    8. Wang CZ
    (2024) NCBI GenBank
    ID OP251150. The sucrose taste receptor of caterpillar is different from that of moth.
    https://www.ncbi.nlm.nih.gov/nuccore/OP251150
    1. Zhang SS
    2. Wang PC
    3. Ning C
    4. Yang K
    5. Li GC
    6. Cao LL
    7. Huang LQ
    8. Wang CZ
    (2024) NCBI GenBank
    ID OP251151. The sucrose taste receptor of caterpillar is different from that of moth.
    https://www.ncbi.nlm.nih.gov/nuccore/OP251151

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Article and author information

Author details

  1. Shuai-Shuai Zhang

    1. State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
    2. Chinese Academy of Sciences 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, Writing – review and editing
    Contributed equally with
    Pei-Chao Wang
    Competing interests
    No competing interests declared
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-1163-9240

  2. Pei-Chao Wang

    1. State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
    2. Chinese Academy of Sciences Center for Excellence in Biotic Interactions, University of Chinese Academy of Sciences, Beijing, China
    Contribution
    Resources, Data curation, Software, Investigation, Methodology
    Contributed equally with
    Shuai-Shuai Zhang
    Competing interests
    No competing interests declared

  3. Chao Ning

    1. State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
    2. Chinese Academy of Sciences Center for Excellence in Biotic Interactions, University of Chinese Academy of Sciences, Beijing, China
    Contribution
    Data curation, Software, Formal analysis, Methodology
    Competing interests
    No competing interests declared

  4. Ke Yang

    1. State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
    2. Chinese Academy of Sciences Center for Excellence in Biotic Interactions, University of Chinese Academy of Sciences, Beijing, China
    Contribution
    Funding acquisition, Investigation
    Competing interests
    No competing interests declared
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-4138-3373

  5. Guo-Cheng Li

    1. State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
    2. Chinese Academy of Sciences Center for Excellence in Biotic Interactions, University of Chinese Academy of Sciences, Beijing, China
    Contribution
    Data curation, Software, Formal analysis, Methodology
    Competing interests
    No competing interests declared

  6. Lin-Lin Cao

    1. State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
    2. Chinese Academy of Sciences Center for Excellence in Biotic Interactions, University of Chinese Academy of Sciences, Beijing, China
    Contribution
    Investigation
    Competing interests
    No competing interests declared

  7. 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, Investigation, Methodology, Project administration
    Competing interests
    No competing interests declared

  8. 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. Chinese Academy of Sciences Center for Excellence in Biotic Interactions, University of Chinese Academy of Sciences, Beijing, China
    Contribution
    Conceptualization, Resources, Data curation, Software, Formal analysis, Supervision, Funding acquisition, Validation, Investigation, Visualization, Methodology, Writing – original draft, 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 Key R&D Program of China (2022YFD1400800)

  • Chen-Zhu Wang

National Natural Science Foundation of China (32130090)

  • Chen-Zhu Wang

Beijing Natural Science Foundation (6224062)

  • Ke Yang

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 Zi-Lin Li, Qing Zhang, Yan Chen, Jun Yang, Xin-Lin Gong, Yan-Yan Jia for assistances in PER experiments, mutant line screening and scanning electron microscopy. This work was supported by National Key R&D Program of China (Grant No. 2022YFD1400800), the National Natural Science Foundation of China (Grant No. 32130090), and the Beijing Natural Science Foundation (Grant No. 6224062).

Ethics

All experiments were approved by the Animal Care and Use Committee of the Institute of Zoology, Chinese Academy of Sciences and followed the Guide for the Care and Use of Laboratory Animals (IOZ17090-A).

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© 2023, Zhang, Wang 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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  1. Shuai-Shuai Zhang
  2. Pei-Chao Wang
  3. Chao Ning
  4. Ke Yang
  5. Guo-Cheng Li
  6. Lin-Lin Cao
  7. Ling-Qiao Huang
  8. Chen-Zhu Wang
(2024)
The larva and adult of Helicoverpa armigera use differential gustatory receptors to sense sucrose
eLife 12:RP91711.
https://doi.org/10.7554/eLife.91711.3

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    Body mass and growth rates predict protein intake across animals

    Stav Talal, Jon F Harrison ... Arianne J Cease
    Research Article

    Organisms require dietary macronutrients in specific ratios to maximize performance, and variation in macronutrient requirements plays a central role in niche determination. Although it is well recognized that development and body size can have strong and predictable effects on many aspects of organismal function, we lack a predictive understanding of ontogenetic or scaling effects on macronutrient intake. We determined protein and carbohydrate intake throughout development on lab populations of locusts and compared to late instars of field populations. Self-selected protein:carbohydrate targets declined dramatically through ontogeny, due primarily to declines in mass-specific protein consumption rates which were highly correlated with declines in specific growth rates. Lab results for protein consumption rates partly matched results from field-collected locusts. However, field locusts consumed nearly double the carbohydrate, likely due to higher activity and metabolic rates. Combining our results with the available data for animals, both across species and during ontogeny, protein consumption scaled predictably and hypometrically, demonstrating a new scaling rule key for understanding nutritional ecology.

    1. Ecology

    Foxtrot migration and dynamic over-wintering range of an Arctic raptor

    Ivan Pokrovsky, Teja Curk ... Martin Wikelski
    Research Article

    Advances in tracking technologies have revealed the diverse migration patterns of birds, which are critical for range mapping and population estimation. Population trends are usually estimated in breeding ranges where birds remain stationary, but for species that breed in remote areas like the Arctic, these trends are often assessed in over-wintering ranges. Assessing population trends during the wintering season is challenging due to the extensive movements of birds in these ranges, which requires a deep understanding of the movement dynamics. However, these movements remain understudied, particularly in the mid-latitudes, where many Arctic breeders overwinter, increasing uncertainty in their ranges and numbers. Here, we show that the Arctic breeding raptor Rough-legged buzzard, which overwinters in the mid-latitudes, has a specific wintering strategy. After migrating ca. 1500 km from the Arctic to mid-latitudes, the birds continue to move throughout the entire over-wintering period, traveling another 1000 km southwest and then back northeast as the snowline advances. This continuous movement makes their wintering range dynamic throughout the season. In essence, this movement represents an extension of the quick migration process, albeit at a slower pace, and we have termed this migration pattern ‘foxtrot migration’, drawing an analogy to the alternating fast and slow movements of the foxtrot dance. These results highlight the potential errors in range mapping from single mid-winter surveys and emphasize the importance of this migration pattern in assessing the conservation status of bird species. Understanding this migration pattern could help to correctly estimate bird populations in over-wintering ranges, which is especially important for species that nest in hard-to-reach regions such as the Arctic.