1. Ecology

A gustatory receptor tuned to the steroid plant hormone brassinolide in Plutella xylostella (Lepidoptera: Plutellidae)

  1. Ke Yang
  2. Xin-Lin Gong
  3. Guo-Cheng Li
  4. Ling-Qiao Huang
  5. Chao Ning
  6. Chen-Zhu Wang  Is a corresponding author
  1. State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, China
  2. CAS Center for Excellence in Biotic Interactions, University of Chinese Academy of Sciences, China
https://doi.org/10.7554/eLife.64114
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Cite this article
  1. Ke Yang
  2. Xin-Lin Gong
  3. Guo-Cheng Li
  4. Ling-Qiao Huang
  5. Chao Ning
  6. Chen-Zhu Wang
(2020)
A gustatory receptor tuned to the steroid plant hormone brassinolide in Plutella xylostella (Lepidoptera: Plutellidae)
eLife 9:e64114.
https://doi.org/10.7554/eLife.64114
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Abstract

Feeding and oviposition deterrents help phytophagous insects to identify host plants. The taste organs of phytophagous insects contain bitter gustatory receptors (GRs). To explore their function, the GRs in Plutella xylostella were analyzed. Through RNA sequencing and qPCR, we detected abundant PxylGr34 transcripts in the larval head and adult antennae. Functional analyses using the Xenopus oocyte expression system and 24 diverse phytochemicals showed that PxylGr34 is tuned to the canonical plant hormones brassinolide (BL) and 24-epibrassinolide (EBL). Electrophysiological analyses revealed that the medial sensilla styloconica of 4th instar larvae are responsive to BL and EBL. Dual-choice bioassays demonstrated that BL inhibits larval feeding and female oviposition. Knock-down of PxylGr34 by RNAi attenuates the taste responses to BL, and abolishes BL-induced feeding inhibition. These results increase our understanding of how herbivorous insects detect compounds that deter feeding and oviposition, and may be useful for designing plant hormone-based pest management strategies.

eLife digest

Plant-eating insects use their sense of taste to decide where to feed and where to lay their eggs. They do this using taste sensors called gustatory receptors which reside in the antennae and legs of adults, and in the mouthparts of larvae. Some of these sensors detect sugars which signal to the insect that the plant is a nutritious source of food. While others detect bitter compounds, such as poisons released by plants in self-defense.

One of the most widespread plant-eating insects is the diamondback moth, which feeds and lays its eggs on cruciferous vegetable crops, like cabbage, oilseed rape and broccoli. Before laying its eggs, female diamondback moths pat the vegetable’s leaves with their antennae, tasting for the presence of chemicals. But little was known about the identity of these chemicals.

Cabbages produce large amounts of a hormone called brassinolide, which is known to play a role in plant growth. To find out whether diamondback moths can taste this hormone, Yang et al. examined all their known gustatory receptors. This revealed that the adult antennae and larval mouthparts of these moths make high levels of a receptor called PxylGr34.

To investigate the role of PxylGr34, Yang et al. genetically modified frog eggs to produce this receptor. Various tests on these receptors, as well as receptors in the mouthparts of diamondback larvae, showed that PxylGr34 is able to sense the hormone brassinolide. To find out how this affects the behavior of the moths, Yang et al. investigated how adults and larvae responded to different levels of the hormone. This revealed that the presence of brassinolide significantly decreased both larval feeding and the amount of eggs laid by adult moths.

Farmers already use brassinolide to enhance plant growth and protect crops from stress. These results suggest that the hormone might also help to shield plants from insect damage. However, more research is needed to understand how this hormone acts as a deterrent. Further studies could improve understanding of insect behavior and potentially identify more chemicals that can be used for pest control.

Introduction

Many phytophagous insects have evolved to select a limited range of host plants. Understanding the ultimate and proximate mechanisms underlying this selection strategy is a crucial issue in the field of insect–plant interactions. Insects’ decisions to feed and oviposit are mainly based on information carried via chemosensory systems (Schoonhoven et al., 2005). Insects discriminate among potential hosts after perceiving a combination of lineage-specific and more ubiquitous chemicals synthesized by plants. Some nutrients are ubiquitous across plant taxa. For example, various sugars and amino acids are feeding stimulants for the majority of herbivorous insects. Secondary plant metabolites occur in certain plant taxa at much higher concentrations than in others, and therefore are of greater significance in host-plant selection by insects (Jermy, 1966). They are usually deterrent or ‘bitter’ compounds for many phytophagous insects, except for some specialized species that use them as token stimuli (Schoonhoven et al., 2005).

Phytophagous insects have sophisticated taste systems to recognize deterrent or stimulant compounds, which direct their feeding and oviposition behavior (Yarmolinsky et al., 2009). The taste sensilla of insects are mainly situated on the mouthparts, tarsi, ovipositor, and antennae (Bernays and Chapman, 1994). These sensilla take the form of hairs or cones with a terminal pore in the cuticular structure, and often contain the dendrites of three or four gustatory sensory neurons (GSNs). The axons of GSNs synapse directly onto the central nervous system. Analyses using the tip-recording technique for taste sensilla led to the discovery of a ‘deterrent neuron’ in the larvae of Bombyx mori (Ishikawa, 1966) and Pieris brassicae (Ma, 1969). Since then, GSNs coding for secondary plant metabolites have been identified in maxillary sensilla in larvae and tarsal sensilla of adults of many Lepidopteran species (Glendinning et al., 2002; Zhou et al., 2009). However, the molecular basis of these deterrent neurons remains unclear.

Gustatory receptors (GRs) expressed in the dendrites of GSNs determine the selectivity of the response of GSNs (Thorne et al., 2004; Wang et al., 2004). Since the first insect GRs were identified in the model organism Drosophila melanogaster (Clyne et al., 2000), the function of some of its bitter GRs have been revealed (Dweck and Carlson, 2020; Freeman and Dahanukar, 2015). Five D. melanogaster GRs (Gr47a, Gr32a, Gr33a, Gr66a, and Gr22e) are involved in sensing strychnine (Lee et al., 2010; Lee et al., 2015; Moon et al., 2009; Poudel et al., 2017). Nicotine-induced action potentials are dependent on Gr10a, Gr32a, and Gr33a (Rimal and Lee, 2019). Gr8a, Gr66a, and Gr98b function together in the detection of L-canavanine (Shim et al., 2015). Gr33a, Gr66a, and Gr93a participate in the responses to caffeine and umbelliferone (Lee et al., 2009; Moon et al., 2006; Poudel et al., 2015). Gr28b is necessary for avoiding saponin (Sang et al., 2019). However, only a few studies have focused on the function of bitter GRs in phytophagous insects. PxutGr1, a bitter GR in Papilio xuthus, was found to respond specifically to the oviposition stimulant, synephrine (Ozaki et al., 2011). In recent studies, the insect bitter GRs BmorGr16, BmorGr18, and BmorGr53 showed response to coumarin and caffeine in vitro, and coumarin was found to have a feeding deterrent effect on B. mori larvae (Kasubuchi et al., 2018); another bitter GR in B. mori, Gr66, was reported to be responsible for the mulberry-specific feeding preference of silkworms (Zhang et al., 2019). Although some progress has been made in determining the functions of such receptors in Drosophila and a few herbivorous insects, we still lack basic mechanistic information about the functions of bitter GRs from most herbivorous insect lineages.

Plutella xylostella (L.) is the most widespread Lepidopteran pest species, causing losses of US$ 4–5 billion per year (You et al., 2020; Zalucki et al., 2012). It has developed resistance to the usual insecticides because of its short life cycle (14 days) (Furlong et al., 2013). P. xylostella mainly selects Brassica species as its host plants, and its females pat the leaf surfaces with their antennae before egg laying (Qiu et al., 1998). This behavior may be related to certain chemical components in leaves of Brassica species, including sugars, sugar alcohols, amino acids, amines, glucosinolates, and plant hormones. Among these compounds, sinigrin and brassinolide (BL) have relatively higher concentrations in Brassica than in many other plant species (Fahey et al., 2001; Lv et al., 2014). Sinigrin is known to be a feeding/oviposition stimulant for P. xylostella (Gupta and Thorsteinson, 1960). The medial sensilla styloconica in the maxillary galea of P. xylostella larvae contain a GSN sensitive to sinigrin and other glucosinolates (van Loon et al., 2002). BL is a ubiquitous plant hormone that has been widely studied in relation to its role in plant growth and development (Clouse and Sasse, 1998), but little is known about its effects on the behavior of phytophagous insects.

To uncover the molecular basis of the perception of feeding/oviposition stimulants and deterrents by P. xylostella, we re-examined all the GRs reported in previous studies on this insect. Through transcriptome analysis and qPCR, we identified one bitter GR (PxylGr34) highly expressed in the larval head and the adult antennae. We functionally analyzed this GR with the Xenopus oocyte expression system and RNAi, and found that PxylGr34 is tuned to BL as a feeding and oviposition deterrent in P. xylostella.

Results

Identification of PxylGr34, a highly expressed GR gene in P. xylostella

To search for candidate GRs that may be involved in host selection by P. xylostella, we searched for candidates among those that had been annotated in the P. xylostella genome (Engsontia et al., 2014; You et al., 2013), the transcriptome (Yang et al., 2017), and the P. xylostella GRs deposited in GenBank (Supplementary file 1). We obtained 79 annotated GRs (69 GRs from the genome, 7 GRs from the transcriptome, and 3 GRs from GenBank). After removing repetitive sequences and deleting paired sequences with amino acid identity greater than 99%, we validated 67 of the GR sequences (61 GRs from the genome, 3 GRs from the transcriptome, and 3 GRs from GenBank) (Figure 1 and Supplementary file 1). On this basis, we first analyzed the transcriptomes of the antennae, forelegs (only tibia and tarsi), and head (without antennae) of adults, and the mouthparts of 4th instar larvae although the genomic data and antennae transcriptome of P. xylostella had been reported previously (Yang et al., 2017; You et al., 2013). Next, we looked specifically for candidates that were highly expressed in these chemosensory organs by calculating the transcripts per million (TPM) values of these 67 GRs (Figure 2A). Those GRs with high expression levels in both adult and larval taste organs were considered to be candidates for those with key roles in the host-plant selection of this species. Intriguingly, the TPM value of PxylGr34, which clustered with bitter GRs, was much higher than those of other GR genes in the antennae, head and forelegs of adults, as well as the mouthparts of larvae (Figure 2A). PxylGr34 was originally annotated from genomic data (Engsontia et al., 2014), and then detected in the antennal transcriptomic data of P. xylostella (named as ‘PxylGr2’ in Yang et al., 2017). However, both studies provided only its partial coding sequences (Figure 1—figure supplement 1). Based on our transcriptomic data, we obtained the full-length coding sequence of PxylGr34 through gene cloning and Sanger sequencing (Figure 1—figure supplement 1). The protein encoded by PxylGr34 is typical of most GRs with seven transmembrane domains, and a full open reading frame (ORF) of 418 amino acids (Figure 1—figure supplement 2).

Figure 1 with 2 supplements see all
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Phylogenetic tree of gustatory receptors (GRs).

Amino acid sequences are based on previously reported GRs. Bootstrap values are based on 1000 replicates. Abbreviations: Hmel, Heliconius melpomene; Bmor, Bombyx mori; Pxyl, Plutella xylostella. ○, GRs of P. xylostella; ●, PxylGR34.

Figure 1—source data 1

Amino acid sequences of GRs in Plutella xylostella.

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Figure 2
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Tissue expression pattern of gustatory receptors (GRs) in Plutella xylostella as determined by Illumina read-mapping and qPCR analysis.

(A) Transcripts per million (TPM) value of each GR is indicated in box. Color scales were generated using Microsoft Excel. Antenna, head, and foreleg were from the moth; larval mouthpart was from 4th instar larvae. The GRs that undetectable in the TPM analysis were not listed. Relative PxylGr34 transcript levels in (B) 4th instar larval tissues and (C) mated moth tissues of Plutella xylostella as determined by qPCR. Data are mean ± SEM. n = 3 replicates of 40–200 tissues each. For 4th instar larvae, p=0.0004; for the moth, p<0.0001 (one-way ANOVA, Tukey’s HSD test).

Figure 2—source data 1

Source data for Figure 2B and C.

https://cdn.elifesciences.org/articles/64114/elife-64114-fig2-data1-v2.xlsx

High PxylGr34 transcript levels in the larval head and adult antennae

To further confirm the expression patterns of PxylGr34 in the larvae and adults, we detected its relative transcript levels in different tissues of adults and the 4th instar larvae of P. xylostella using quantitative real-time PCR (qPCR). The larvae eat the most in the 4th instar and can forage around the plant more easily (Harcourt, 1957). The high levels of PxylGr34 transcripts were detected in the larval head. They were also detected in the larval thoracic legs and gut (Figure 2B). In the adults, PxylGr34 transcripts were restricted to the antennae (Figure 2C).

BL and EBL induced a strong response in the oocytes expressing PxylGr34

We used the Xenopus laevis oocyte expression system and two-electrode voltage-clamp recording to study the function of PxylGr34. Among 24 tested phytochemicals belonging to sugars, sugar alcohols, amino acids, amines, glucosinolates, and plant and insect hormones (Key Resources Table), BL induced a strong response in the oocytes expressing PxylGr34, as did its racemate EBL at a concentration of 10–4 M (Figure 3A and Figure 3B). The currents induced by BL increased from the lowest threshold concentration of 10–4 M in a dose-dependent manner (Figure 3C and Figure 3D). Oocytes expressing PxylGr34 showed weak responses to methyl jasmonate and allyl isothiocyanate, but no response to 20-hydroxyecdysone and other tested compounds (Figure 3A and Figure 3B). As negative controls, the water-injected oocytes failed to respond to any of the tested chemical stimuli (Figure 3—figure supplement 1).

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Brassinolide and 24-epibrassinolide induced a strong response in the oocytes expressing PxylGr34.

(A) Representative inward current responses of Xenopus oocytes expressing PxylGr34 in response to ligands at 10−4 M. (B) Response profiles of Xenopus oocytes expressing PxylGr34 in response to ligands at 10−4 M. Data are mean ± SEM. n = 7 replicates of cells. p<0.0001 (one-way ANOVA, Tukey's HSD test). (C) Representative inward current responses of Xenopus oocytes expressing PxylGr34 in response to BL at a range of concentrations. (D) Response profiles of Xenopus oocytes expressing PxylGr34 in response to BL at a range of concentrations. Data are mean ± SEM; n = 6–8 replicates of cells. p<0.0001 (one-way ANOVA, Tukey’s HSD test).

Figure 3—source data 1

Source data for Figure 3B and D.

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The larval medial sensilla styloconica exhibited vigorous responses in P. xylostella to BL and EBL

Next, using the tip-recording technique, we examined whether any gustatory sensilla in the mouthparts of larvae of P. xylostella could respond to BL and EBL. Of the two pairs of sensilla styloconica in the maxillary galea of 4th instar larvae, the lateral sensilla styloconica had no response to BL and EBL (Figure 4A,B,C and D); the medial sensilla styloconica exhibited vigorous responses to BL and EBL at 3.3 × 10−4 M, and the spike amplitudes induced by BL and EBL were about the same (Figure 4A,B,C and D). As previously reported, the medial sensilla styloconica also exhibited vigorous responses to sinigrin. However, the spike amplitudes induced by sinigrin were larger than those induced by BL and EBL (Figure 4E and F). These results suggest that BL and EBL activate the same neuron, while sinigrin activates a different neuron in the sensillum. The medial sensilla styloconica showed a dose-dependent response to BL, although the testing concentrations were limited because of the low solubility of BL in water (highest concentration approximately 3.3 × 10−4 M) (Figure 5).

Figure 4
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The larval medial sensilla styloconica exhibited vigorous responses in P.

xylostella to brassinolide (BL) and 24-epibrassinolide (EBL). Typical electrophysiological recordings in response to water and BL (A), EBL (C), and sinigrin (E) at 3.3 × 10−4 M for 1 s obtained by tip-recording from a neuron innervating the lateral and medial sensillum styloconica on maxillary galea of P. xylostella 4th instar larvae. Response profiles of the two lateral and medial sensilla styloconica on the maxilla of P. xylostella 4th instar larvae to water and BL (B), EBL (D), and sinigrin (F) at 3.3 × 10−4 M. Data are mean ± SEM. For lateral sensilla styloconica, n = 14, p=0.0905 to BL; n = 10, p=0.3869 to EBL; n = 10, p=0.0672 to sinigrin; for medial sensilla styloconica, n = 16, p<0.0001 to BL; n = 10, p<0.0001 to EBL; n = 10, p<0.0001 to sinigrin. Data were analyzed by paired-samples t-test.

Figure 4—source data 1

Source data for Figure 4B,D and F.

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Figure 5
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The medial sensilla styloconica showed a dose-dependent response to brassinolide (BL).

(A) Typical electrophysiological recordings in response to water and BL at a series of concentrations for 1 s obtained by tip-recording from a neuron innervating the medial sensillum styloconicum on the maxillary galea of P. xylostella 4th instar larvae. (B) Response profiles of medial sensilla styloconica on maxilla of P. xylostella 4th instar larvae to water and BL at a series of concentrations. Data are mean ± SEM. n = 8–14 replicates of larvae, p<0.0001 (one-way ANOVA, Tukey’s HSD test).

Figure 5—source data 1

Source data for Figure 5B.

https://cdn.elifesciences.org/articles/64114/elife-64114-fig5-data1-v2.xlsx

BL and EBL-induced feeding deterrence effect on P. xylostella larvae

We further tested the effects of BL and EBL on the larval feeding behavior of P. xylostella on pea leaves in the dual-choice leaf disc assay. In a dual-choice feeding test with 4th instar larvae, the feeding areas of larvae were significantly smaller on the leaf discs treated with BL and EBL at concentrations of 10−4 M and above than on the control leaf discs. In addition, the feeding preference of larvae to BL and EBL tended to decrease with increasing BL and EBL concentrations (Figure 6 and Figure 6—figure supplement 1), indicating that both BL and EBL function as feeding deterrents to P. xylostella larvae.

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Brassinolide (BL)-induced feeding deterrence effect on P.xylostella larvae.

Dual-choice feeding tests were conducted using pea leaf discs. Total feeding area of control (white bars) and BL-treated discs (green bars). BL was diluted in 50% ethanol to 10−6, 10−5, 10−4, 10−3, and 10−2 M. Data are mean ± SEM. For 10−6 M, n = 18, p=0.3947; for 10−5 M, n = 21, p=0.5967; for 10−4 M, n = 30, p<0.0001; for 10−3 M, n = 20, p<0.0001; for 10−2 M, n = 19, p<0.0001. Data were analyzed by paired-samples t-test.

Figure 6—source data 1

Source data for Figure 6.

https://cdn.elifesciences.org/articles/64114/elife-64114-fig6-data1-v2.xlsx

BL-induced oviposition deterrence to P. xylostella females

We also tested the effects of BL on the female ovipositing behavior of P. xylostella. In a dual-choice oviposition test with mated females, significantly fewer eggs were laid on the sites treated with BL at 10−4 M, 10−3 M, and 10−2 M than on the control sites. In addition, the oviposition preference tended to decrease as the BL concentrations increased (Figure 7).

Figure 7
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Brassinolide (BL)-induced oviposition deterrence to P. xylostella females.

Dual-choice oviposition tests were conducted using plastic film coated with cabbage leaf juice. Both control (50% ethanol) and BL (diluted in 50% ethanol) were painted evenly onto plastic film. After 24 hr, total number of eggs laid by a single mated female on control films (white bars) and BL-treated films (green bars) were counted. Data are mean ± SEM. For 10−5 M, n = 9, p=0.4364; for 10−4 M, n = 12, p=0.0275; for 10−3 M, n = 13, p=0.0015; 10−2 M, n = 8, p=0.0038. Data were analyzed using paired-samples t-test.

Figure 7—source data 1

Source data for Figure 7.

https://cdn.elifesciences.org/articles/64114/elife-64114-fig7-data1-v2.xlsx

PxylGr34 siRNA-treated P. xylostella larvae show attenuated taste responses to BL and alleviated feeding deterrent effect of BL

To clarify whether PxylGr34 mediates the electrophysiological and behavioral responses of P. xylostella larvae to BL in vivo, we tested the effect of siRNA targeting PxylGr34 on the responses of medial sensilla styloconica and the feeding behavior of the 4th instar larvae. The relative transcript level of PxylGr34 in the head of larvae treated with PxylGr34 siRNA was half that in the head of larvae treated with green fluorescent protein (GFP) siRNA or ddH2O (Figure 8A). This confirmed that feeding with siRNA is an effective method for RNAi-inhibition of PxylGr34 in the larval head.

Figure 8
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PxylGr34 siRNA-treated P. xylostella larvae inhibit the responses of sensilla to brassinolide (BL).

(A) Effect of PxylGr34 siRNA on transcript levels of PxylGr34 in 4th instar larval head. Heads were collected after feeding larvae with cabbage leaf discs coated with PxylGr34 siRNA, GFP siRNA, or ddH2O. Relative transcript levels of PxylGr34 in each treatment were determined by qPCR. Data are mean ± SEM. n = 3 replicates of 21–24 heads each, p=0.0237 (one-way ANOVA, Tukey’s HSD test). (B) Typical electrophysiological recordings in response to water and BL at 3.3 × 10−4 M for 1 s obtained by tip-recording from a neuron innervating the medial sensillum styloconica, on maxillary galea of P. xylostella 4th instar larvae with cabbage leaf discs coated with PxylGr34 siRNA, GFP siRNA, or ddH2O. (C) Response profiles of the medial sensilla styloconica on the maxilla of P. xylostella 4th instar larvae with cabbage leaf discs coated with PxylGr34 siRNA, GFP siRNA, or ddH2O, to water and BL at 3.3 × 10−4 M. Data are mean ± SEM. The data of each treatment to water and BL at 3.3 × 10−4 M were analyzed by paired-samples t-test. For ddH2O treatment, n = 9, p<0.0001; for GFP siRNA treatment, n = 10, p<0.0001; for PxylGr34 siRNA treatment, n = 12, p=0.0019. The data of different treatments to BL at 3.3 × 10−4 M were analyzed by one-way ANOVA, Tukey’s HSD test, p=0.0002.

Figure 8—source data 1

Source data for Figure 8A and C.

https://cdn.elifesciences.org/articles/64114/elife-64114-fig8-data1-v2.xlsx

To test the effects of RNAi-inhibition of PxylGr34 on the taste responses, the medial sensilla styloconica from siRNA-treated larvae were subjected to a tip-recording analysis as described above, with 3.3 × 10−4 M BL or water. As shown in Figure 8, although the medial sensilla styloconica of PxylGr34 siRNA-treated larvae still showed some response to BL, the frequency of spikes to BL elicited in the medial sensilla styloconica of the PxylGr34 siRNA-treated larvae was decreased (Figure 8B and Figure 8C).

To test the effects of RNAi-knockdown of PxylGr34 on the feeding behavior of 4th instar larvae, the siRNA-treated larvae were subjected to a dual-choice leaf disc feeding assay as described above, with leaf discs of pea treated with 10−4 M BL or untreated (control). As shown in Figure 9, both the water-treated larvae and the GFP siRNA-treated larvae preferred control leaf discs over those treated with BL, whereas the PxylGr34 siRNA-treated larvae showed no significant preference (Figure 9). Thus, the knock-down of PxylGr34 by RNAi attenuated the electrophysiological responses of the medial sensilla styloconica to BL, and alleviated the deterrent effect of BL on the feeding of P. xylostella larvae.

Figure 9
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PxylGr34 siRNA-treated P. xylostella larvae alleviated the feeding deterrent effect of brassinolide (BL).

Choice assay using 4th instar larvae fed on cabbage leaf discs treated with PxylGr34 siRNA, GFP siRNA, or ddH2O. In dual-choice assay, larvae chose between control pea leaf discs (treated with 50% ethanol) and those treated with BL at 10−4 M (diluted in 50% ethanol). Figure shows total feeding area of control (white bars) and treated discs (green bars). Data are mean ± SEM. For ddH2O treatment, n = 19, p=0.0093; for GFP siRNA treatment, n = 18, p=0.0044; for PxylGr34 siRNA treatment, n = 19, p=0.1864. Data were analyzed by paired-samples t-test.

Figure 9—source data 1

Source data for Figure 9.

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Discussion

In this study, we identified the full-length coding sequence of PxylGr34 from our transcriptome data, and found that this gene is highly expressed in the head of the 4th instar larvae and in the antennae of females. Our results show that PxylGr34 is specifically tuned to BL and its racemate EBL, and that the medial sensilla styloconica of 4th instar larvae have electrophysiological responses to BL and EBL. Our results also show that BL inhibits larval feeding and female oviposition of P. xylostella, and that knock-down of PxylGr34 by RNAi can attenuate the responses of sensilla to BL, and abolish the feeding inhibition effect of BL. This is the first study to show that an insect can detect and react to this steroid plant hormone. The results of the systematic functional analyses of the GR, the electrophysiological responses of the sensilla, behavioral assays, and behavioral regulation in vivo show that PxylGr34 is a bitter GR specifically tuned to BL. This receptor mediates the deterrent effects of BL on feeding and ovipositing behaviors of P. xylostella.

The larvae of Lepidopteran species have two pairs of gustatory sensilla (medial and lateral sensilla styloconica) located in the maxillae galea; these sensilla play a decisive role in larval food selection (Dethier, 1937; Schoonhoven and van Loon, 2002). Each sensillum usually contains four GSNs, of which one is often responsive to deterrents. Ishikawa, 1966 described a ‘deterrent neuron’ in the medial sensillum styloconicum of silkworm, Bombyx mori, and showed that it responds to several plant alkaloids and phenolics (Ishikawa, 1966). Similar neurons have been found in other Lepidopteran species, but their profiles vary. For example, the tobacco hornworm, Manduca sexta, has a deterrent neuron in the medial sensillum styloconicum that responds to aristolochic acid, and another deterrent neuron in the lateral sensillum styloconicum that responds to salicin, caffeine, and aristolochic acid (Glendinning et al., 2002). The diversity of GRs facilitates the detection of, and discrimination among, a wide range of diverse taste stimuli, implying that different sets of bitter GRs are expressed in these neurons. In this study, we proved that one GSN in the medial maxillary sensillum styloconicum of the 4th instar larvae of the diamondback moth responds to sinigrin (van Loon et al., 2002), and we identified one neuron responding to BL and EBL in the same sensillum. For P. xylostella larvae, sinigrin is a feeding stimulant whereas BL and EBL are feeding deterrents, together with sinigrin and BL/EBL have different spike amplitudes, we speculate that the GRs tuned to sinigrin and BL/EBL are located in different GSNs in the medial sensilla styloconica.

The GR family is massively expanded in moth species, and most of the GRs are bitter GRs (Cheng et al., 2017). However, few studies have functionally characterized bitter GRs. In D. melanogaster, the loss of bitter GRs was found to eliminate repellent behavior in response to specific noxious compounds. For example, Gr33a mutant flies could not avoid non-volatile repellents like quinine and caffeine (Moon et al., 2009), and mutation of Gr98b impaired the detection of L-canavanine (Shim et al., 2015). When the bitter GR PxutGr1 of P. xuthus was knocked-down by RNAi, the oviposition behavior in response to synephrine was strongly reduced (Ozaki et al., 2011). Knock-out of the bitter GR BmorGr66 in B. mori larvae resulted in a loss of feeding specificity for mulberry (Zhang et al., 2019). In this study, BL and EBL induced a strong response in the oocytes expressing PxylGr34, knock-down of PxylGr34 in the larvae of P. xylostella eliminated the feeding deterrence of BL, indicating that this bitter GR is specifically tuned to BL and EBL, and mediates the aversive response of larvae to BL and related compounds. Although the 24 tested compounds represent a wide range of compound profiles, the ligands of PxylGr34 could be more than BL and EBL. Given the high expression level of PxylGr34 in the taste organs of P. xylostella, we could not rule out the possibility that this gene also functions together with other GRs to perceive other compounds.

BL was the first brassinosteroid (BR) hormone to be discovered in plants. It was first isolated and identified from a crude extract of pollen from oilseed rape (Brassica napus L.), and was found to induce rapid elongation of pinto bean Phaseolus vulgaris internodes distinct from gibberellin-mediated stem elongation (Mitchell et al., 1970; Grove et al., 1979). Almost all plant tissues contain BRs, and they function to promote elongation and stimulate cell division, participate in vascular differentiation and fertilization, and affect senescence (Clouse and Sasse, 1998). As a C28 BR, BL exhibits the highest activity among all BRs and is distributed widely in the plant kingdom, along with other biosynthetically related compounds (Clouse and Sasse, 1998). Exogenous application of BL and its analog 24-epibrassinolide (EBL) to plants has been shown to increase their stress resistance (Clouse and Sasse, 1998).

Plant hormones, although generally found in small amounts and rarely toxic, play a key role in regulating plant growth, development, and resistance to biotic and abiotic stresses (Bari and Jones, 2009; Krouk et al., 2011; Wu and Baldwin, 2010). Jasmonic acid, salicylic acid, ethylene, and abscisic acid have been shown to be involved in priming plant defense responses against herbivorous insects and plant pathogens by activating related signal transduction pathways and changing the expression of defense-related genes (Bari and Jones, 2009). Jasmonic acid plays an important role in plant resistance to insects (Wang et al., 2019). Plants accumulate jasmonic acid and its derivatives upon wounding. Exogenous treatment with jasmonic acid activates the expression of hundreds of defense-related genes. Application of exogenous jasmonic acid to cabbage plants was shown to indirectly retard the development of P. xylostella larvae and reduce the pupal weight and female fecundity (Lv and Liu, 2005). Therefore, signaling molecules associated with induced plant defenses may be used as reliable cues by herbivorous insects. Up to now, only one study showed that Helicoverpa zea reacts to jasmonate and salicylate in plants, resulting in the activation of four of its cytochrome P450 genes that are associated with detoxification (Li et al., 2002). However, how the caterpillars eavesdrop the hormone signals remains a mystery. The present study provides the first evidence that P. xylostella can detect the plant hormone BL with a bitter GR. This reflects a new adaptation of insects to plant defenses.

Herbivorous insects have evolved counter adaptations against the chemical defenses of plants. The perception of bitter substances is an adaptation to avoid potentially toxic secondary plant metabolites. We can speculate that BL and EBL may influence insect development because BL and EBL have strikingly similar structures to that of ecdysteroid hormones in arthropods, such as 20-hydroxyecdysone (Fujioka and Sakurai, 1997). Their structures are so similar that BL and EBL show agonistic activity with 20-hydroxyecdysone in many insect species (Zullo and Adam, 2002). It has been shown that injection with 20 µg EBL was fatal to mid last-instar larvae of Spodoptera littoralis (Smagghe et al., 2002). The BL content differs widely among plant species; for example, it is 1.37 × 10−4 g/kg in Brassica campestris L. leaves and 1.25 × 10−6 g/kg in Arabidopsis thaliana leaves (Lv et al., 2014). Our results show that BL has the inhibitory effects on feeding and oviposition of P. xylostella, and the threshold concentration of BL for such behavioral inhibitions of P. xylostella is in the range of 10−4–10−3 g/kg, suggesting that BL plays a dual role of plant hormones and insect feeding/oviposition deterrents in plants.

There is a rich variety of bitter GRs in phytophagous insects, but only a few have been functionally characterized (Kasubuchi et al., 2018; Zhang et al., 2019). In this study, we showed that PxylGr34, a bitter GR highly expressed in larval head and adult antennae of P. xylostella, is tuned to the plant hormones BL and EBL, which mediates the aversive feeding/oviposition responses of P. xylostella to these compounds. These findings not only increase our understanding of the gustatory coding mechanisms of feeding/oviposition deterrents in phytophagous insects, but also offer new perspectives for using plant hormones as potential agents to suppress pest insects.

Materials and methods

Key resources table
Reagent type
(species) or
resource		DesignationSource or
reference		IdentifiersAdditional
information
Gene (Plutella xylostella)Muscle actin geneNCBIGenBank: AB282645.1
Commercial assay or kitRNeasy Plus Universal Mini KitQiagenCat# 73404
Commercial assay or kitQ5 High-Fidelity DNA PolymeraseNEBCat# M0491
Commercial assay or kitM-MLV reverse transcriptasePromegaCat# M1701
Commercial assay or kitSYBR Premix Ex TaqIITakaraCat# RR820
Commercial assay or kitmMESSAGE mMACHINE SP6AmbionCat# AM1340
Chemical compound, drug(+/−)-Abscisic acidSigma-AldrichCAS: 21293-29-8
Chemical compound, drugL-AlanineSigma-AldrichCAS: 56-41-7
Chemical compound, drugAllyl isothiocyanateSigma-AldrichCAS: 57-06-7
Chemical compound, drugAristolochic acidShanghai Macklin Biochemical Co.,Ltd, ChinaCAS: 313-67-7
Chemical compound, drugBrassinolideYuanyeshengwu Co., Ltd, ChinaCAS: 72962-43-7
Chemical compound, drug(+/−)-CamphorBeijing Mreda Technology Co., Ltd, ChinaCAS: 76-22-2
Chemical compound, drug(−)-CitronellalTokyo Chemical Industry Co., Ltd, JapanCAS: 5949-05-3
Chemical compound,
drug		24-EpibrassinolideShanghai Macklin Biochemical Co., Ltd, ChinaCAS: 78821-43-9
Chemical compound, drugD-FructoseSigma-AldrichCAS: 7660-25-5
Chemical compound, drugGibberellic acidYuanyeshengwu Co., Ltd, ChinaCAS: 77-06-5
Chemical compound, drugcis-3-Hexenyl salicylateShanghai Macklin Biochemical Co., Ltd, ChinaCAS: 65405-77-8
Chemical compound, drug20-HydroxyecdysoneYuanyeshengwu Co., Ltd, ChinaCAS: 5289-74-7
Chemical compound, drugIndole-3-acetic acidYuanyeshengwu Co., Ltd, ChinaCAS: 87-51-4
Chemical compound, drug(+/−)-Jasmonic acidTokyo Chemical Industry Co., Ltd, JapanCAS: 6894-38-8
Chemical compound, drugKinetinSigma-AldrichCAS: 525-79-1
Chemical compound, drugMethyl jasmonateSigma-AldrichCAS: 1211-29-6
Chemical compound, drugMethyl salicylateSigma-AldrichCAS: 119-36-8
Chemical compound, drugMyo-inositolSigma-AldrichCAS: 87-89-8
Chemical compound, drug(+/−)-NicotineSigma-AldrichCAS: 22083-74-5
Chemical compound, drugPutrescineAlfa AesarCAS: 110-60-1
Chemical compound, drugSinigrinSigma-AldrichCAS: 3952-98-5
Chemical compound, drugSpermidineSigma-AldrichCAS: 124-20-9
Chemical compound, drugSpermineSigma-AldrichCAS: 71-44-3
Chemical compound, drugD-SucroseSigma-AldrichCAS: 57-50-1
Software, algorithmGraphPad PrismGraphPad PrismRRID:SCR_0027988.3
Software, algorithmAdobe IllustratorAdobe systemsRRID:SCR_014198CC2018
Software, algorithmpCLAMP softwarepCLAMP softwareRRID:SCR_011323

Insects and plants

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P. xylostella was originally collected from the cabbage field of Institute of Plant Protection, Shanxi Academy of Agricultural Sciences, China. It is not specialized on peas. The insects were reared at the Institute of Zoology, Chinese Academy of Sciences, Beijing. The larvae were fed only with cabbage (Brassica oleracea L.) and kept at 26 ± 1°C with a 16L:8D photoperiod and 55–65% relative humidity. The diet for adults was a 10% (v/v) honey solution. Pea (Pisum sativum L.) plants were grown in an artificial climate chamber at 26 ± 1°C with a 16L:8D photoperiod and 55–65% relative humidity. The plants were grown in nutrient soil in pots (8 × 8 × 10 cm) and were 4–5 weeks old when they were used in experiments.

Care and use of X. laevis

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All procedures were approved by the Animal Care and Use Committee of the Institute of Zoology, Chinese Academy of Sciences, and followed The Guidelines for the Care and Use of Laboratory Animals (protocol number IOZ17090-A). Female X. laevis were provided by Prof. Qing-Hua Tao (MOE Key Laboratory of Protein Sciences, Tsinghua University, China) and reared in our laboratory with pig liver as food. Six healthy naive X. laevis 18–24 months of age were used in these experiments. They were group-housed in a box with purified water at 20 ± 1°C. Before experiments, each X. laevis individual was anesthetized by bathing in an ice–water mixture for 30 min before surgically collecting the oocytes.

Sequencing and expression analysis of GR genes in P. xylostella

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We conducted transcriptome analyses of the P. xylostella moth antennae, foreleg (only tibia and tarsi), head (without antenna), and the 4th instar larval mouthparts. Total RNA was extracted using QIAzol Lysis Reagent (Qiagen, Hilden, Germany) and treated with DNase I following the manufacturer’s protocol. Poly(A) mRNA was isolated using oligo dT beads. First-strand complementary DNA was generated using random hexamer-primed reverse transcription, followed by synthesis of second-strand cDNA using RNaseH and DNA polymerase I. Paired-end RNA-seq libraries were prepared following Illumina’s protocols and sequenced on the Illumina HiSeq 2500 platform (Illumina, San Diego, CA). High-quality clean reads were obtained by removing adaptors and low-quality reads, then de novo assembled using the software package Trinity v2.8.5 (Haas et al., 2013). The GR genes were annotated by NCBI BLASTX searches against a pooled insect GR database, including GRs from P. xylostella (Engsontia et al., 2014; You et al., 2013; Yang et al., 2017) and other insect species (Guo et al., 2017; Xu et al., 2016; Robertson et al., 2003). The translated amino acid sequences of the identified GRs were aligned manually by NCBI BLASTP and tools at the T-Coffee web server (Notredame et al., 2000). The TPM values were calculated using the software package RSEM v1.2.28 (Li and Dewey, 2011) to analyze GR gene transcript levels.

Phylogenetic analysis

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Phylogenetic analysis of P. xylostella GRs was performed based on amino acid sequences, together with those of previously reported GRs of Heliconius melpomene (Briscoe et al., 2013) and B. mori (Guo et al., 2017). Amino acid sequences were aligned with MAFFT v7.455 (Rozewicki et al., 2019), and gap sites were removed with trimAl v1.4 (Capella-Gutiérrez et al., 2009). The maximum likelihood phylogenetic tree was constructed using RAxML v8.2.12 (Stamatakis, 2014) with the Jones-Taylor-Thornton amino acid substitution model. Node support was assessed using a bootstrap method based on 1000 replicates. The tree was visualized in FigTree Version 1.4.4 (http://tree.bio.ed.ac.uk/software/figtree/).

RNA isolation and cDNA synthesis

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The adult antennae, head (without antennae), forelegs (only tarsi and tibia), and ovipositor, and the larval head, thorax (without wing disc, thoracic legs, gut, or other internal tissues), thoracic leg, abdomen (without gut or other internal tissues) and gut were dissected immediately placed in a 1.5 mL Eppendorf tube containing liquid nitrogen, and stored at −80°C until use. Total RNA was extracted using QIAzol Lysis Reagent following the manufacturer’s protocol (including DNase I treatment), and RNA quality was checked with a spectrophotometer (NanoDrop 2000; Thermo Fisher Scientific, Waltham, MA, USA). The single-stranded cDNA templates were synthesized using 2 μg total RNAs from various samples with 1 μg oligo (dT) 15 primer (Promega, Madison, WI, USA). The mixture was heated to 70°C for 5 min to melt the secondary structure of the template, then M-MLV reverse transcriptase (Promega) was added and the mixture was incubated at 42°C for 1 hr. The products were stored at −20°C until use.

PCR amplification of PxylGr34 from P. xylostella

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Based on the candidate full-length nucleotide sequences of PxylGr34 identified from our transcriptome data, we designed specific primers (Supplementary file 1). All amplification reactions were performed using Q5 High-Fidelity DNA Polymerase (New England Biolabs, Beverly, MA, USA). The PCR conditions for amplification of PxylGr34 were as follows: 98°C for 30 s, followed by 30 cycles of 98°C for 10 s, 60°C for 30 s, and 72°C for 1 min, and final extension at 72°C for 2 min. Templates were obtained from antennae of female P. xylostella. The sequences were further verified by Sanger sequencing.

Quantitative real-time PCR

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The qPCR analyses were conducted using the QuantStudio 3 Real-Time PCR System (Thermo Fisher Scientific) with SYBR Premix Ex Taq (TaKaRa, Shiga, Japan). The gene-specific primers to amplify an 80–150 bp product were designed by Primer-BLAST (http://www.ncbi.nlm.nih.gov/tools/primer-blast/) (Supplementary file 1). The thermal cycling conditions were as follows: 10 s at 95°C, followed by 40 cycles of 95°C for 5 s and 60°C for 31 s, followed by a melting curve analysis (55–95°C) to detect a single gene-specific peak and confirm the absence of primer dimers. The product was verified by nucleotide sequencing. PxylActin (GenBank number: AB282645.1) was used as the control gene (Teng et al., 2012). Each reaction was run in triplicate (technical replicates) and the means and standard errors were obtained from three biological replicates. The relative copy numbers of PxylGr34 were calculated using the 2–ΔΔCt method (Livak and Schmittgen, 2001).

Receptor functional analysis

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The full-length coding sequence of PxylGr34 was first cloned into the pGEM-T vector (Promega) and then subcloned into the pCS2+ vector. cRNA was synthesized from the linearized modified pCS2+ vector with mMESSAGE mMACHINE SP6 (Ambion, Austin, TX, USA). Mature healthy oocytes were treated with 2 mg mL−1 collagenase type I (Sigma-Aldrich, St Louis, MO, USA) in Ca2+-free saline solution (82.5 mM NaCl, 2 mM KCl, 1 mM MgCl2, 5 mM HEPES, pH = 7.5) for 20 min at room temperature. Oocytes were later microinjected with 55.2 ng cRNA. Distilled water was microinjected into oocytes as the negative control. Injected oocytes were incubated for 3–5 days at 16°C in a bath solution (96 mM NaCl, 2 mM KCl, 1 mM MgCl2, 1.8 mM CaCl2, 5 mM HEPES, pH = 7.5) supplemented with 100 mg mL−1 gentamycin and 550 mg mL−1 sodium pyruvate. Whole-cell currents were recorded with a two-electrode voltage clamp. The intracellular glass electrodes were filled with 3 M KCl and had resistances of 0.2–2.0 MΩ. Signals were amplified with an OC-725C amplifier (Warner Instruments, Hamden, CT, USA) at a holding potential of −80 mV, low-pass filtered at 50 Hz, and digitized at 1 kHz. Each of 24 compounds listed in Key Resources Table was diluted and the pH was adjusted to 7.5 in Ringer’s solution before being introduced to the oocyte recording chamber using a perfusion system. Data were acquired and analyzed using Digidata 1322A and pCLAMP software (RRID:SCR_011323) (Axon Instruments Inc, Foster City, CA, USA). Dose-response data were analyzed using GraphPad Prism software (RRID:SCR_002798 6) (GraphPad Software Inc, San Diego, CA, USA).

Electrophysiological responses of contact chemosensilla on the maxilla of larvae to BL, EBL, and sinigrin

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The tip-recording technique was used to record action potentials from the lateral and medial sensilla styloconica on the maxillary galea of larvae, following the protocols described elsewhere (Hodgson et al., 1955; van Loon, 1990; van Loon et al., 2002). Distilled water served as the control stimulus, as KCl solutions elicited considerable responses from the galeal styloconic taste sensilla (van Loon et al., 2002), and sinigrin served as the positive control stimulus (van Loon et al., 2002). Experiments were carried out with larvae that were 1–2 days into their final stadium (4th instar). The larvae were starved for 15 min before analysis. The larvae were cut at the mesothorax, and then silver wire was placed in contact with the insect tissue. The wire was connected to a preamplifier with a copper miniconnector. A glass capillary filled with the test compound, into which a silver wire was inserted, was placed in contact with the sensilla. Electrophysiological responses were quantified by counting the number of spikes in the first second after the start of stimulation. The interval between two successive stimulations was at least 3 min to avoid adaptation of the tested sensilla. Before each stimulation, a piece of filter paper was used to absorb the solution from the tip of the glass capillary containing the stimulus solution to avoid an increase in concentration due to evaporation of water from the capillary tip. The temperature during recording ranged from 22° to 25°C. Neural activity was sampled with a computer equipped with a Metrabyte DAS16 A/D conversion board. An interface was used (GO-box) for signal conditioning. This involved a second order band pass filter (−3 dB frequencies: 180 and 1700 Hz) (van Loon et al., 2002). The electrophysiological signals were recorded by SAPID Tools software version 16.0 (Smith et al., 1990), and analyzed using Autospike software version 3.7 (Syntech).

Dual-choice feeding bioassays

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Dual-choice feeding assays were used to quantify the behavioral responses of P. xylostella larvae to BL and EBL on pea leaves. Pea (Pisum sativum L.) is a neutral host plant of P. xylostella and widely used in the feeding preference analysis in this species (Thorsteinson, 1953; van Loon et al., 2002). These assays were based on the protocol reported by van Loon et al., 2002, with modifications. The axisymmetric pinnate leaf was freshly picked from 4-week-old pea plants grown in a climate-controlled room. One leaf was folded in half, and two leaf discs (diameter, 7 mm) were punched from the two halves as the control (C) and treated (T) discs, respectively. For the treated discs, 5 µL (13 µL/cm2) of the test compound diluted in 50% ethanol was spread on the upper surface using a paint brush. For the control discs, 5 µL 50% ethanol was applied in the same way. Control (C) and treated (T) discs were placed in a C-T-C-T sequence around the circumference of the culture dish (60 mm diameter ×15 mm depth; Corning, NY, USA). After the ethanol had evaporated (15 min later), a single 4th instar caterpillar (day 1), which had been starved for 6 hr, was placed in each dish. The dishes were kept for 24 hr at 23°–25°C in the dark, to avoid visual stimuli. Each dish was covered with a circular filter paper disc (diameter 7 cm) moistened with 200 µL ddH2O to maintain humidity. At the end of the test, the leaf discs were scanned using a DR-F120 scanner (Canon, Tokyo, Japan) and the remaining leaf area was quantified with ImageJ software (NIH). Paired-sample t-test was used to detect differences in the consumed leaf area between control and treated leaf discs.

Dual-choice oviposition bioassays

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A dual-choice oviposition bioassay was used to quantify the behavioral responses of P. xylostella mated female moths to BL. This assay was modified from the protocol reported by Gupta and Thorsteinson, 1960 and Justus and Mitchell, 1996. A paper cup (10 cm diameter ×8 cm height) with a transparent plastic lid (with 36 pinholes for ventilation) was used for ovipositing of the mated females. Fresh cabbage leaf juice was centrifuged at 3000 rpm for 5 min, and 60 μL of the supernatant was spread with a paintbrush onto polyethylene (PE) film from clinical gloves for 10 min to evaporate. Four culture dishes (35 mm diameter) (Corning, New York, NY, USA) covered with these PE films were placed on the bottom of each cup. This oviposition system was developed based on the biology of P. xylostella (Harcourt, 1957). On each of two diagonally positioned treatment films, 125 µL BL (13 µL/ cm2) diluted in 50% ethanol was evenly spread on the upper surface using a paint brush. On the other two diagonally positioned films, 125 µL 50% ethanol (control) was spread in the same way. After the ethanol had evaporated (30 min later), a small piece of absorbent cotton soaked with 10% honey-water mixture was placed in the center of the cup.

The pupae of P. xylostella were selected and newly emerged adults were checked and placed in a mesh cage (25 × 25 × 25 cm), with a 10% honey-water mixture supplied during the light phase. The female:male ratio was 1:3 to ensure that all the females would be mated. After at least 24 hr of mating time, the mated females were removed from the cage and placed individually into the oviposition cup during the light phase. After 24 hr at 26 ± 1°C with a 16L: 8D photoperiod and 55–65% relative humidity, the number of eggs on each plastic film was counted. Paired-samples t-test was used to detect significant differences in the number of eggs laid between the control and treatment films. siRNA preparation.

A unique siRNA region specific to PxylGr34 was selected guided by the siRNA Design Methods and Protocols (Takasaki, 2013). The siRNA was prepared using the T7 RiboMAX Express RNAi System kit (Promega, Madison) following manufacturer’s protocol. The GFP (GenBank: M62653.1) siRNA was designed and synthesized using the same methods. We tested three different siRNAs of PxylGr34 based on different sequence regions, and selected the most effective and stable one for further analyses. The oligonucleotides used to prepare siRNAs are listed in Supplementary file 2.

Oral delivery of siRNA

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The siRNAs were supplied to the larvae by oral delivery as reported elsewhere (Chaitanya et al., 2017; Gong et al., 2011), with some modifications. Each siRNA was spread onto cabbage leaf discs (Brassica oleracea) and fed to 4th-instar larvae. Freshly punched cabbage leaf discs (diameter 0.7 cm) were placed into 24-well clear multiple well plates (Corning, NY, USA). For each disc, 3 µg siRNA diluted in 6 µL 50% ethanol was evenly distributed on the upper surface using a paint brush. Both 50% ethanol and GFP siRNA were used as negative controls. After the ethanol had evaporated (20 min later), one freshly molted 4th-instar larva, which had been starved for 6 hr, was carefully transferred onto each disc and then allowed to feed for 12 hr. Each well was covered with dry tissue paper to maintain humidity. The larvae that had consumed the entire disc were selected and starved for another 6 hr, and then these larvae were used in the dual-choice behavioral assay, electrophysiological responses of contact chemosensilla on the maxilla, or for qPCR analyses as described above. The larvae that did not consume the treated discs were discarded.

Data analysis

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Data were analyzed using GraphPad Prism 8.3. Figures were created using GraphPad Prism 8.3 and Adobe illustrator CC 2018 (Adobe systems, San Jose, CA). Two-electrode voltage-clamp recordings, electrophysiological dose-response curves, and the square-root transformed qPCR data were analyzed by one-way ANOVA and Tukey’s HSD tests with two distribution tails. These analyses were performed using GraphPad prism 8.3. Electrophysiological response data and all dual-choice test data were analyzed using the two-tailed paired-samples t-test. Statistical tests and the numbers of replicates are provided in the figure legends. In all statistical analyses, differences were considered significant at p<0.05. Asterisks represent significance: *p<0.05, **p<0.01, ***p<0.001, ****p<0.0001; ns, not significant. Response values are indicated as mean ± SEM; and n represents the number of samples in all cases.

Data availability

All data generated or analysed during this study are included in the manuscript and supporting files. Source data files have been provided for all the figures.

References

  2. Book
    1. Bernays EA
    2. Chapman RF
    (1994)
    Host-Plant Selection by Phytophagous Insects
    New York: Chapman and Hall.
    1. Lv Y
    2. Liu S
    (2005)
    Effects of exogenous jasmonic acid-induced plant responses on development and growth of Plutella xylostella
    Chinese Journal of Applied Ecology 16:193–195.
  50. Book
    1. Schoonhoven LM
    2. van Loon JJA
    3. Dicke M
    (2005)
    Insect-Plant Biology
    New York: Oxford University Press.
    1. Schoonhoven LM
    2. van Loon JJA
    (2002)
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Article and author information

Author details

  1. Ke Yang

    1. State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
    2. CAS Center for Excellence in Biotic Interactions, University of Chinese Academy of Sciences, Beijing, China
    Contribution
    Conceptualization, Resources, Data curation, Software, Formal analysis, Funding acquisition, Validation, Investigation, Visualization, Methodology, Writing - original draft, Project administration, Writing - review and editing, Experiment design
    Competing interests
    No competing interests declared
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-4138-3373

  2. Xin-Lin Gong

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

  3. 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. CAS Center for Excellence in Biotic Interactions, University of Chinese Academy of Sciences, Beijing, China
    Contribution
    Formal analysis, Validation
    Competing interests
    No competing interests declared

  4. 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, Validation, Investigation
    Competing interests
    No competing interests declared

  5. Chao Ning

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

  6. Chen-Zhu Wang

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

Funding

National Natural Science Foundation of China (31830088)

  • Chen-Zhu Wang

China Postdoctoral Science Foundation (2019M660792)

  • Ke Yang

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

  • Chen-Zhu Wang

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

Acknowledgements

We thank the lab members Hao Guo, Jun Yang, Nan-Ji Jiang, and Rui Tang for their helps in the data analysis and comments, Yan Chen, Zi-Lin Li, Shuai-Shuai Zhang, and Ruo-Xi Shi for their assistance in tip-recording analysis. We thank Xi-Zhong Yan from Shanxi Agricultural University for the assistance in insect rearing, Prof. Qing-Hua Tao from MOE Key Laboratory of Protein Sciences, Tsinghua University for providing Xenopus laevis frogs. We also thank Prof. Bill Hansson from Max Planck Institute for Chemical Ecology, Germany, for his comments on this work. This work is funded by National Key R and D Program of China (Grant No. 2017YFD0200400), the National Natural Science Foundation of China (Grant No. 31830088), and China Postdoctoral Science Foundation (Grant No. 2019M660792).

Ethics

Animal experimentation: All procedures were approved by the Animal Care and Use Committee of the Institute of Zoology, Chinese Academy of Sciences, and followed The Guidelines for the Care and Use of Laboratory Animals (protocol number: IOZ17090-A).

Copyright

© 2020, Yang 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. Ke Yang
  2. Xin-Lin Gong
  3. Guo-Cheng Li
  4. Ling-Qiao Huang
  5. Chao Ning
  6. Chen-Zhu Wang
(2020)
A gustatory receptor tuned to the steroid plant hormone brassinolide in Plutella xylostella (Lepidoptera: Plutellidae)
eLife 9:e64114.
https://doi.org/10.7554/eLife.64114

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    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
    2. Evolutionary Biology

    Neuropeptide Bursicon and its receptor-mediated the transition from summer-form to winter-form of Cacopsylla chinensis

    Zhixian Zhang, Jianying Li ... Songdou Zhang
    Research Article

    Seasonal polyphenism enables organisms to adapt to environmental challenges by increasing phenotypic diversity. Cacopsylla chinensis exhibits remarkable seasonal polyphenism, specifically in the form of summer-form and winter-form, which have distinct morphological phenotypes. Previous research has shown that low temperature and the temperature receptor CcTRPM regulate the transition from summer-form to winter-form in C. chinensis by impacting cuticle content and thickness. However, the underling neuroendocrine regulatory mechanism remains largely unknown. Bursicon, also known as the tanning hormone, is responsible for the hardening and darkening of the insect cuticle. In this study, we report for the first time on the novel function of Bursicon and its receptor in the transition from summer-form to winter-form in C. chinensis. Firstly, we identified CcBurs-α and CcBurs-β as two typical subunits of Bursicon in C. chinensis, which were regulated by low temperature (10 °C) and CcTRPM. Subsequently, CcBurs-α and CcBurs-β formed a heterodimer that mediated the transition from summer-form to winter-form by influencing the cuticle chitin contents and cuticle thickness. Furthermore, we demonstrated that CcBurs-R acts as the Bursicon receptor and plays a critical role in the up-stream signaling of the chitin biosynthesis pathway, regulating the transition from summer-form to winter-form. Finally, we discovered that miR-6012 directly targets CcBurs-R, contributing to the regulation of Bursicon signaling in the seasonal polyphenism of C. chinensis. In summary, these findings reveal the novel function of the neuroendocrine regulatory mechanism underlying seasonal polyphenism and provide critical insights into the insect Bursicon and its receptor.

    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.