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Article

Expression Profiling and Functional Analysis of Candidate Odorant Receptors in Galeruca daurica

by
Jing-Hang Zhang
1,†,
Ling Li
1,†,
Na Li
2,
Yan-Yan Li
1 and
Bao-Ping Pang
1,*
1
Research Center for Grassland Entomology, Inner Mongolia Agricultural University, Hohhot 010018, China
2
Erdos City Extension Center for Agriculture and Animal Husbandry Technology, Erdos 017200, China
*
Author to whom correspondence should be addressed.
†
These authors contributed equally to this work.
Insects 2022, 13(7), 563; https://doi.org/10.3390/insects13070563
Submission received: 5 May 2022 / Revised: 15 June 2022 / Accepted: 20 June 2022 / Published: 21 June 2022
(This article belongs to the Section Insect Physiology, Reproduction and Development)
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Abstract

:

Simple Summary

Odorant receptors (ORs) play an important role in the olfactory system in insects. However, there is no functional research on the odorant receptors of Galeruca daurica. In this study, 21 OR genes were identified from the transcriptome database of G. daurica adults. Most GdauORs were mainly expressed in antennae, and the expression levels of GdauORs in adults were affected by age. When GdauOR4, GdauOR15, and GdauORco were silenced by RNAi, the electrophysiological responses to host plant volatiles were significantly decreased.

Abstract

Galeruca daurica (Joannis) is an oligophagous pest in the grasslands of Inner Mongolia, China, which feed mainly on Allium spp. Odorant receptors (ORs) play an important role in the olfactory system in insects, and function together with olfactory co-receptor (ORco). In this study, 21 OR genes were identified from the transcriptome database of G. daurica adults, and named GdauOR1-20 and GdauORco. The expression profiles were examined by RT-qPCR and RNA interference (RNAi) and electroantennogram (EAG) experiments were conducted to further identify the olfactory functions of GdauOR4, GdauOR11, GdauOR15, and GdauORco. It was found that 15 GdauORs (OR1, OR3-6, OR8, OR11-13, OR15, OR17-20, and ORco) were mainly expressed in antennae, and the expression levels of GdauORs in adults were affected by age. When GdauOR4, GdauOR15, and GdauORco were silenced by RNAi, the electrophysiological responses to host plant volatiles were significantly decreased in G. daurica. This study lays a necessary foundation for clarifying the mechanism on finding host plants in G. daurica.

Graphical Abstract

1. Introduction

A sophisticated olfactory system is a key physiological element for survival and reproduction in insects [1]. In the olfactory system, insects detect semiochemicals through interactions with various olfactory proteins, including odorant-binding proteins (OBPs) and chemosensory proteins (CSPs) which bind odors in lymph fluid, odorant receptors (ORs), and ionotropic receptors (IRs) that convert chemical signals into nerve electrical signals through ion channels, as well as odorant-degrading enzymes (ODEs) that are considered to decompose odorants [1,2]. Olfactory co-receptor (Orco) was initially identified as a member of the OR family in Drosophila [3]. During the initial olfaction process, odorant receptors (ORs) expressed on the dendrites of olfactory sensory neurons (OSNs) play a central role in converting the chemical signals into electrical signals via the formation of heteromeric complexes that operate as odorant-gated ion channels with an Orco [4]. Most species of insects express just one Orco and a distinct complement of OR, ranging from just four members in Calopteryx splendens to more than 300 in Tribolium castaneum [5,6,7]. Numerous studies have shown that insect ORs are mainly expressed in olfactory organs, for example, 60 OR genes in Microplitis mediator have high expression in both male and female antennae [8], and 38 ORs in Aethina tumida were predominately expressed in antennae [9]. Functional characterizations of odorant receptors have been verified in many insect species so far. The main research methods are CRISPR/Cas9 system, HEK293 cell line, Drosophila aT1 or ab3 system, Xenopus oocyte model system and RNA interference techniques [10,11,12,13,14,15]. In the Coleoptera, a large number of chemoreceptor genes have been studied [16,17].
Galeruca daurica (Joannis) (Coleoptera: Chrysomelidae) had an abrupt outbreak on the Inner Mongolia grasslands in 2009, and since then, the occurring range has been expanding in recent years [18]. This beetle is an oligophagous pest, which feeds mainly on Allium spp, and A. mongolicum is the optimal host plant [19]. This feeding habit of G. daurica implies an important role of olfaction in searching for specific host plants. According to our previous study, six compounds of A. mongolium could stimulate the strong EAG response of G. daurica, including diallyl sulfide, diallyl disulphide, (Z)-2-hexen-1-ol, 2-hexenal, methyl benzoate, and hexanal [20].
Up to now, some olfactory-related genes have been studied in G. daurica. 29 OBPs and 10 CSPs genes were identified and the expression profiles were analyzed by RT-PCR and RT-qPCR [21,22]. Meanwhile, the binding properties of five OBPs (GdauOBP1, GdauOBP6, GdauOBP10, GdauOBP15 and GdauOBP20) and two CSPs (GdauCSP4 and GdauCSP5) were analyzed using a number of ligands of A. mongolium in competitive binding assays [23,24]. The olfactory functions of GdauOBP15 and GdauCSP5 were explored by RNAi [23]. However, there is no functional research on the odorant receptors of G. daurica. In this study, the odorant receptor genes of G. daurica were identified from transcriptome data and the expression profiles were analyzed by RT-qPCR. The functional studies of GdauOR4, GdauOR11, GdauOR15 and GdauORco were carried out by RNA interference (RNAi) combined with electroantennogram. Our study aims to clarify the molecular mechanisms on chemical sensitivity of G. daurica, and lay the necessary foundation for finding the target gene to control this insect with green prevention and control technique.

2. Materials and Methods

2.1. Insects and Samples Collection

The larvae of G. daurica were collected from Xilinhot, Inner Mongolia, China (43°54′53″ N, 115°39′13″ E) in May 2021. Insects were reared on A. mongolium, and maintained at 26 ± 1 °C under 60–80% humidity and a 16 h light: 8 h dark photoperiod. The tissues (antennae, heads without antennae, thoraxes without wings and legs, abdomens, legs, and wings) were collected from 3-day-old male and female adults (unmated) by using scalpel and forceps in the forenoon. Antennae from different days after eclosion (1-day-old, 3-day-old, 7-day-old, 15-day-old, 25-day-old, 45-day-old, and 90-day-old) of male and female adults were collected every morning. Among them, the 1-day-old, 3-day-old, and 7-day-old adults were in the active stage and foraged heavily. The 15-day-old, 25-day-old, and 45-day-old adults were in the diapause stage and did not forage. The 90-day-old adults were released from diapause, which were in the mating stage and resumed foraging. Each group of samples consisted of 20 individuals, and three biological replicates were set. All samples were frozen in liquid nitrogen as they were collected and stored at −80 °C until RNA extraction.

2.2. Identification of OR Transcripts

We identified putative OR genes by searching the transcriptome database of G. daurica adults assembled in our laboratory [25]. Putative OR genes were searched using “olfactory receptor” and “odorant receptor” as the key words to screen the annotated sequences in the transcriptome database. All putative OR genes were manually confirmed using the Blastx program against the NR nucleotide database at NCBI with a cut-off E-value 10−5. The open reading frames (ORFs) of OR genes were predicted using the ORF Finder (http://www.ncbi.nlm.nih.gov/gorf/gorf.html, accessed on 11 November 2020).

2.3. Total RNA Isolation and cDNA Synthesis

Total RNA of each sample was isolated using TaKaRa MiniBEST Universal RNA Extraction Kit (TaKaRa, Dalian, China) following the manufacturer’s technical manual, and the RNA integrity was checked using 1.5% agarose gel electrophoresis. The extracted RNA was quantified in NanoDrop™ 2000 spectrophotometer (Thermo Fisher, Waltham, MA, USA). cDNA was synthesized using the PrimeScriptTM 1st Strand cDNA Synthesis Kit (TaKaRa, Dalian, China), and 1 μg RNA was used for cDNA synthesis according to the instructions.

2.4. Quantitative Real-Time PCR (RT-qPCR) Measurement

Gene expression profiles were analyzed by RT-qPCR. All primers for RT-qPCR were designed by Primer Premier 5.0 (http://www.premierbiosoft.com/primerdesign/index.html, accessed on 10 December 2020) (Table S1). RT-qPCR were performed using the FTC-3000P Real-Time Quantitative Thermal Cycler (Funglyn Biotech, Markham, ON, Canada) with BRYT Green® dye (GoTaq® qRT-PCR Master Mix, Promega, Madison, WI, USA) as the fluorescence reporter. The succinate dehydrogenase complex gene (SDHA) was used as a reference gene [26]. A 10-fold dilution series of antennal cDNA was employed to construct a standard curve to determine the PCR efficiency. All amplification efficiencies in the RT-qPCR analysis ranged from 85.8% to 103%. Experiments were performed in a 10 μL reaction mixture, including 1 μL cDNA (10 ng/μL), 0.2 μL forward primer (10 μmol/L), 0.2 μL reverse primer (10 μmol/L), 5 μL BRYT Green dye, and 3.6 μL RNase free water, and repeated three times for each sample. The RT-qPCR reaction was carried out according to the following procedure: initial denaturation at 95 °C of 10 min, followed by 45 cycles of 95 °C for 15 s, and annealing at 60 °C for 1 min, and analysis of the melting curve at the last. There was a specific single peak in each reaction in the dissociation stage. The relative quantification of each gene expression level was analyzed using the 2−ΔΔCt method [27]. The expression level of GdauOR1 in male antennae was used as the control in the expression profiles of different tissues. The expression level of each gene in 1-day-old male antennae was used as the control in the expression profiles of different days after eclosion.

2.5. RNA Interference of GdauOR4/GdauOR11/GdauOR15/GdauORco

RNA interference (RNAi) primers containing T7 promoter were designed to the coding sequence of GdauOR4, GdauOR11, GdauOR15, and GdauORco (Table S2). PCR was performed in a 25 μL reaction (1 μL cDNA, 1 μL forward primer, 1 μL reverse primer, 9.5 μL Premix TaqTM, and 12.5 μL RNase free water) with a thermocycler (T100TM Thermal Cycler, Bio-Rad, Hercules, CA, USA), conditions consisting of: 94 °C for 3 min followed by 35 cycles of 94 °C for 30 s, 65 °C for 30 s (each gene used a primer-specific temperature), 72 °C for 1 min, and a final extension at 72 °C for 10 min. Amplification products were purified and connected to the pGEM-T Easy vector, and then transformed into the competent-cell Escherichia coli DH5α (TaKaRa, Dalian, China). Plasmids were sequence verified and used as templates to synthesize double-stranded RNAs (dsRNA) through the kit of T7 RiboMAXTM Express RNAi System (Promega, Madison, WI, USA). The quality of dsRNA was detected by 1.5% agarose gel electrophoresis. The concentration was detected by NanoDrop™ 2000 spectrophotometer. Finally, the dsRNA was diluted to 1000 ng/µL in enzyme-free water and stored at −80 °C until use.
The 3-day-old female and male adults were selected as test insects. Two µL dsRNA was injected into the intersegmental membrane between the fourth and fifth abdominal segments of G. daurica using a microinjector (Shimadzu, Kyoto City, Japan). The experiments were divided into 5 treatment groups (dsOR4-injected, dsOR11-injected, dsOR15-injected, dsORco-injected and dsGFP-injected) with 3 biological replicates per group and 20 individuals per replicate. The treated insects were reared under the above conditions. Antennae of GdauORco group were collected separately for interference efficiency measurement by RT-qPCR at 24, 48, 72, and 96 h after injection. Antennae of GdauOR4, GdauOR11, and GdauOR15 groups were collected for interference efficiency measurement at 48 h after injection. The group of dsGFP-injected was treated as control.

2.6. EAG Recordings

Electroantennogram (EAG) was used to record the antennal responses to 13 volatiles of A. mongolium (Table 1) [20]. These compounds were dissolved in mineral oil (Bio-Rad, USA) at 10 μg/μL. The mineral oil was also set up as a blank control. An antenna was cut off from the base, and cut 0.2 mm off the tip, then connected between the electrodes by two silver wires and two capillary glass tubes filled with physiological saline (0.9% sodium chloride injection). The antennal tip and base were inserted into the capillary tubes with 0.5 mm each. Filter paper strips (5 × 15 mm) were loaded with 10 µL of each solution, and transferred to the Pasteur pipette. The top of the pipette was inserted into the small hole in the wall of the tube, which was connected to an air stimulus controller (CS-55; SynTech, Kirchzarten, Germany). The signals were detected by a high-impedance amplifier (IDAC-2; SynTech, Kirchzarten, Germany) and analyzed using SynTech software (GC-EAD 2014 v1.2.5). The stimulation was started with a pulse duration of 0.2 s until the baseline stabilized. The flow rate was 4 mL/s. The EAG responses were recorded during odor stimulation, and six female or male antennae of 3-day-old adults at 48 h after injection were used for each volatile odorant recording.

2.7. Data Analysis

All data were statistically analyzed using SPSS Statistics 18.0. In the expression profile analysis, the differences between males and females were compared using T-test. Duncan’s test was performed for the differences between different treatments using One-Way ANOVA, and p < 0.05 was taken as the level of statistical significance. RNA interference and EAG analysis were analyzed using T-test.

3. Results

3.1. Identification of Putative OR Genes in G. daurica

A total of 21 putative OR genes were identified from the transcriptome database of G. daurica adults, which were named as GdauOR1-20 and GdauORco. These sequences data have been submitted to the GenBank Datebase of NCBI under accession numbers MK691770-MK691790 (Table 2).

3.2. Expression Profile Analysis of G. daurica OR Genes

The expression profiles of GdauORs in different tissues (Figure 1) showed that the expression levels of fifteen genes in antennae were significantly higher than those in other tissues, including GdauOR1, GdauOR3-6, GdauOR8, GdauOR11-13, GdauOR15, GdauOR17-20, and GdauORco. Among them, the expression levels of seven genes (GdauOR1, GdauOR5-6, GdauOR17, GdauOR19-20, and GdauORco) in female antennae were significantly higher than those in male antennae, while four genes (GdauOR3, GdauOR8, GdauOR11, and GdauOR12) were opposite. Significantly, the genes with the highest expression levels in antennae were GdauOR4 and GdauORco. In addition, the expressions of GdauOR3, GdauOR7, GdauOR16, GdauOR18 and GdauOR20 were significantly enriched in wings. Peculiarly, GdauOR2 was abundantly expressed in abdomens, and the expression level in males was significantly higher than that in females. While GdauOR9, GdauOR10, and GdauOR14 were not shown in the graph, because their expression levels were too low.
The expression profiling results of GdauORs at different days after eclosion (Figure 2) showed that GdauOR1 had a higher expression level in males at 15 d, while GdauOR2 had a higher expression level in females at 15 d. GdauOR3 had a higher expression level in females at 45 d. GdauOR4 and GdauORco had a higher expression level in females at 90 d. GdauOR5 had a higher expression level in females at 25 d. GdauOR6 had a higher expression level in females at 7 d and males in 25 d as well as 45 d. GdauOR7 and GdauOR13 had a higher expression level in males at 1 d. GdauOR8 and GdauOR11 had a higher expression level in males at 90 d. GdauOR12 had a higher expression level in males at 7 d. The expression level of GdauOR15 increased with the days after eclosion, and highest in females at 90 d. GdauOR16 had a higher expression level in males at 45 d. GdauOR17 had a higher expression level in males at 1 d and 7 d. GdauOR18 had a higher expression level in males at 25 d. GdauOR19 had almost the same expression levels for all stages of adults with few exceptions. GdauOR20 had a higher expression level in females at 7 d. Each gene showed significant differences between male and female antennae at different days of eclosion. It is noteworthy that there were significant differences in expression levels of 13 genes between male and female antennae at 90 d, when they were in the mating stage. Among them, the expression levels of GdauOR4, GdauOR7, GdauOR13, GdauOR15, GdauOR16, GdauOR17, and GdauORco were significantly higher in females than in males, whereas GdauOR1, GdauOR3, GdauOR5, GdauOR6, GdauOR8, and GdauOR11 were opposite.

3.3. RNA Interference of GdauOR4/GdauOR11/GdauOR15/GdauORco

To examine the RNAi efficiency, RT-qPCR was performed. Briefly, injection of dsRNA significantly decreased expression levels of target genes. Compared with the dsGFP-injected, when dsORco were injected, the mRNA levels of GdauORco in female antennae were decreased by 56%, 76%, 89%, and 87% at 24, 48, 72, and 96 h post-injection, respectively (Figure 3). The mRNA levels of GdauORco in male antennae were decreased by 45%, 80%, 83%, and 88% at 24, 48, 72, and 96 h post-injection, respectively. This result indicated that a reduction of RNAi efficiency to about 25% at 48 h post-injection is well processed for GdauORs. Similarly, the expression levels of dsOR4-injected, dsOR11-injected, and dsOR15-injected at 48 h post-injection in both female and male antennae were reduced to less than 27% compared with control groups (Figure 4). Among them, RNAi reduced the expression levels of GdauOR4 to 19.9% and 27% in females and males, GdauOR11 was reduced to 14.5% and 19.5% in females and males, and GdauOR15 was reduced to 20.6% and 25.8% in females and males, respectively. There was no significant influence on expression levels of GdauOR11 and GdauOR15 when dsOR4 was injected (Figure 4a), and similarly, injection of dsOR11 did not affect the expression of GdauOR4 and GdauOR15 (Figure 4b); injection of dsOR15 also did not affect the expression of GdauOR4 and GdauOR11 (Figure 4c).

3.4. Electroantennogram Analysis

In order to elucidate the physiological function of GdauOR4, GdauOR11, GdauOR15 and GdauORco in the perception of host plant volatiles, the electrophysiological responses after RNAi were detected by EAG experiments (Figure 5). Compared with the control group, EAG activity of females in response to six volatiles was significantly reduced when dsOR4 was injected, including diallyl sulfide, diallyl disulphide, diallyl trisulfide, 2-hexenal, disulfide methyl 2-propenyl (p < 0.01), and dimethyl trisulfide (p < 0.05). Males showed significantly lower EAG responses to four odors when dsOR4 was injected, including diallyl sulfide, diallyl disulphide, diallyl trisulfide, and 2-hexenal (p < 0.01). In the dsOR11-injected group, both females and males had no significant influence on the electrophysiological responses to all tested odors. In dsOR15-injected group, EAG activity of females in response to three volatiles was significantly reduced, including dimethyl trisulfide, myrcene, and disulfide methyl 2-propenyl (p < 0.01). However, there was no significant influence on the electrophysiological responses when dsOR15 was injected into males. When ORco was silenced, the electrophysiological responses to eight volatiles were significantly decreased in females, including diallyl sulfide, dimethyl trisulfide, diallyl disulphide, 2-hexen-1-ol, 2-hexenal, 1,3,5-cycloheptatriene, disulfide methyl 2-propenyl (p < 0.01), and diallyl trisulfide (p < 0.05). Meanwhile, the EAG responses of males to six volatiles were reduced significantly, including diallyl sulfide, 1,3-dithiane, dimethyl trisulfide, diallyl disulphide, dimethyl trisulfide, and 2-hexenal (p < 0.01).

4. Discussion

In this study, we identified 21 OR genes from the adult G. daurica transcriptome, less than identified for most other Coleoptera [28,29,30]. We speculate that our use of a high-throughput sequencing approach using whole insects rather than antennae may result in a significant number of olfactory genes being buried. Expression profiling of chemosensory genes are of primary importance for exploring the function and the olfactory recognition mechanism of insects [31,32,33]. The tissue expression profiles of 21 ORs showed that most OR genes (GdauOR1, GdauOR3-6, GdauOR8, GdauOR11-13, GdauOR15, GdauOR17-20, and GdauORco) were highly expressed in antennae, which were similar to the results in other species [9]. This result suggested that these ORs might be involved in the chemosensory process [34,35,36]. Notably, GdauORco and GdauOR4 were extremely highly expressed in antennae, suggesting that they may play an important role in the olfactory system. While, GdauOR9, GdauOR10, and GdauOR14 had extremely low expression, presumably expressed in the other developmental stages [37,38]. In addition, the expressions of GdauOR3, GdauOR7, GdauOR16, GdauOR18, and GdauOR20 were significantly enriched in wings, and GdauOR2 were abundantly expressed in abdomens, which suggested that they might be involved in other physiological functions of G. daurica. Different days after eclosion expression analysis indicated that the expression levels of ORs in antennae were affected by age. The similar results were observed in other olfactory proteins [39]. The expression profile analysis lays a necessary foundation for revealing the olfactory recognition mechanism of G. daurica. Four ORs, GdauOR4, GdauOR11, GdauOR15, and GdauORco were selected for further research in odor detection, because they were highly expressed in antennae.
In a previous study, RNAi technology was effectively used in G. daurica by dsRNA injection [23]. Thus, RNAi injection experiments against four ORs were conducted. Same as the previous study, the expression levels were significantly decreased 48 h after dsRNA injection, indicating that dsRNA injection was suitable for target gene interference in G. daurica. Furthermore, it has been reported that dsRNA injection can lead to off-target, which means that the expression levels of other non-target genes may be reduced by RNAi [40]. As far as our current work is concerned, there were no significant influence on expression levels of GdauOR11 and GdauOR15 when dsOR4 was injected, and similarly, injection of dsOR11 did not affected the expression of GdauOR4 and GdauOR15, injection of dsOR15 also did not affected the expression of GdauOR4 and GdauOR11. This RT-qPCR result is consistent with previous study that the mRNA levels of HarmPBP1, HarmPBP2 and HarmPBP3 were not affected by each specific dsRNA injection in Helicoverpa armigera [41].
Many studies have shown that the involvement of genes in olfactory functions can be ultimately impaired by silencing individual OR genes to influence odor preference [35,42]. The silencing of a single OR gene by RNAi resulted in different electrophysiological changes of G. daurica to host plant volatiles. The electrophysiological response of females to six volatiles was significantly reduced when dsOR4 was injected, including diallyl sulfide, diallyl disulphide, diallyl trisulfide, 2-hexenal, disulfide methyl 2-propenyl, and dimethyl trisulfide. Males showed significantly lower EAG responses to four odors when dsOR4 were injected, including diallyl sulfide, diallyl disulphide, diallyl trisulfide, and 2-hexenal. Among them, diallyl sulfide, diallyl disulphide, diallyl trisulfide, disulfide methyl 2-propenyl, and dimethyl trisulfide are sulfocompounds with a strong pungent odor, which are the symbolic components of Allium plants in Liliaceae such as onion and garlic [43,44,45]. In addition, diallyl disulphide and disulfide methyl 2-propenyl account for 43.16% of the total volatile of A. mongolicum [20]. Combined with the expression profile analysis, the expression level of GdauOR4 was the highest among all ORs. Thus, we speculate that GdauOR4 may be the pivotal receptor for host location of G. daurica. For instance, GmolOR9 was highly expressed in antennae, and silencing GmolOR9 resulted in reduced sensitivity of Grapholita molesta to host volatiles [46].
There was no significant influence on the electrophysiological responses of both females and male to host volatiles after silencing GdauOR11. It implied that it may be involved in the recognition of other semiochemicals. In addition, the expression level of GdauOR11 in male antennae was significantly higher than in females during the whole developmental period of adults. Based on these findings, we speculate that GdauOR11 may be involved in recognizing pheromones released by females. In Mythimna separata, MsepOR3 was specifically and abundantly expressed in male antennae, and the Xenopus oocytes expressing MsepOR3/ORco evinced dose dependent responses to the sex pheromone Z11-16: Ald [47].
EAG activity of females in response to three host plant volatiles (dimethyl trisulfide, myrcene, and disulfide methyl 2-propenyl) was significantly reduced after silencing GdauOR15. However, there was no significant influence on the electrophysiological responses in males. Expression profile analysis showed that GdauOR15 were mainly expressed in antennae. Moreover, the expression level increased gradually with the development of adults, and it was significantly higher in females than in females at 45-days-old and 90-days-old. This implies that GdauOR15 may have different functions in odor perception between males and females in G. daurica, and it may play more important roles in females searching for host plants or suitable oviposition sites. For instance, HparOR27 was expressed mainly in female antennae, and it was broadly responsive to three host plant volatiles in Holotrichia parallela [48].
When GdauORco was silenced, the electrophysiological responses to eight host plant volatiles were significantly decreased in females. Meanwhile, the EAG responses of males to six volatiles were reduced significantly. These results suggest that GdauORco is necessary for odorant responses of G. daurica. ORs cannot assemble, transport, or function in the absence of ORco and the loss of this single receptor results in dramatically impaired olfactory behavior [4]. For instance, the HEK293/MdesOR115 cell line which was devoid of ORco did not respond to compounds in Hessian fly pheromone reception [11]. RNAi reduced the expression of SaveOrco to 34.11% in aphids, resulting in weaker EAG responses to plant volatiles and aphid alarm pheromone [49]. Taken together, interference with GdauORco resulted in EAG response decreased to eight volatiles in females and six volatiles in males, respectively, these substances include those causing a reduction in EAG response after silencing other three GdauOR genes, except myrcene. It indicates that GdauORco functionally synergizes with GdauOR4, GdauOR11, and GdauOR15 in the olfactory recognition process of G. daurica. The response to myrcene may be due to incomplete RNAi or to other unidentified targets OR [50,51].
Although the silencing of a single OR gene by RNAi resulted in electrophysiological changes of G. daurica to host plant volatiles, whether it has an impact on behavior needs to be further verified in future experiments.

5. Conclusions

Twenty-one OR genes were identified from the adult G. daurica transcriptome. Most ORs were abundantly expressed in antennae and the expression levels of ORs in adults were affected by age. Based on RNAi and EAG experiments, we speculate that GdauOR4 may be a pivotal receptor for host location in G. daurica. GdauOR15 may play more important roles in females, but this needs further study for confirmation.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/insects13070563/s1, Table S1: List of primers used for qRT-PCR; Table S2: List of primers used in the dsRNA synthesis.

Author Contributions

Conceptualization, L.L. and B.-P.P.; Data curation, N.L.; Formal analysis, J.-H.Z. and L.L.; Funding acquisition, L.L.; Investigation, J.-H.Z.; Methodology, J.-H.Z.; Resources, N.L.; Software, Y.-Y.L.; Supervision, B.-P.P.; Validation, Y.-Y.L.; Writing—original draft, J.-H.Z. and L.L.; Writing—review & editing, B.-P.P. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the National Natural Science Foundation of China, grant number 32001397.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data presented in this study are available within the article and Supplementary Materials.

Acknowledgments

We thank Yan-Min Shan (Inner Mongolia Forestry and Grassland Pest Control and Quarantine Station, Hohhot, China) for her help to collect insects used for experiments.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Leal, W.S. Odorant reception in insects: Roles of receptors, binding proteins, and degrading enzymes. Annu. Rev. Entomol. 2013, 58, 373–391. [Google Scholar] [CrossRef]
  2. Pelosi, P.; Zhou, J.J.; Ban, L.P.; Calvello, M. Soluble proteins in insect chemical communication. Cell. Mol. Life Sci. 2006, 63, 1658–1676. [Google Scholar] [CrossRef]
  3. Vosshall, L.B.; Wong, A.M.; Axel, R. An olfactory sensory map in the fly brain. Cell 2000, 102, 147–159. [Google Scholar] [CrossRef] [Green Version]
  4. Butterwick, J.A.; Del Marmol, J.; Kim, K.H.; Kahlson, M.A.; Rogow, J.A.; Walz, T.; Ruta, V. Cryo-EM structure of the insect olfactory receptor Orco. Nature 2018, 560, 447–452. [Google Scholar] [CrossRef]
  5. Missbach, C.; Dweck, H.K.; Vogel, H.; Vilcinskas, A.; Stensmyr, M.C.; Hansson, B.S.; Grosse-Wilde, E. Evolution of insect olfactory receptors. eLife 2014, 3, e02115. [Google Scholar] [CrossRef] [PubMed]
  6. Ioannidis, P.; Simao, F.A.; Waterhouse, R.M.; Manni, M.; Seppey, M.; Robertson, H.M.; Misof, B.; Niehuis, O.; Zdobnov, E.M. Genomic Features of the Damselfly Calopteryx splendens Representing a Sister Clade to Most Insect Orders. Genome Biol. Evol. 2017, 9, 415–430. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  7. Engsontia, P.; Sanderson, A.P.; Cobb, M.; Walden, K.K.; Robertson, H.M.; Brown, S. The red flour beetle’s large nose: An expanded odorant receptor gene family in Tribolium castaneum. Insect Biochem. Mol. Biol. 2008, 38, 387–397. [Google Scholar] [CrossRef] [PubMed]
  8. Wang, S.N.; Peng, Y.; Lu, Z.Y.; Dhiloo, K.H.; Gu, S.H.; Li, R.J.; Zhou, J.J.; Zhang, Y.J.; Guo, Y.Y. Identification and Expression Analysis of Putative Chemosensory Receptor Genes in Microplitis mediator by Antennal Transcriptome Screening. Int. J. Biol. Sci. 2015, 11, 737–751. [Google Scholar] [CrossRef] [Green Version]
  9. Wu, L.; Zhai, X.; Li, L.; Li, Q.; Liu, F.; Zhao, H. Identification and Expression Profile of Chemosensory Genes in the Small Hive Beetle Aethina tumida. Insects 2021, 12, 661. [Google Scholar] [CrossRef] [PubMed]
  10. Li, Y.; Zhang, J.; Chen, D.; Yang, P.; Jiang, F.; Wang, X.; Kang, L. CRISPR/Cas9 in locusts: Successful establishment of an olfactory deficiency line by targeting the mutagenesis of an odorant receptor co-receptor (Orco). Insect Biochem. Mol. Biol. 2016, 79, 27–35. [Google Scholar] [CrossRef]
  11. Andersson, M.N.; Corcoran, J.A.; Zhang, D.D.; Hillbur, Y.; Newcomb, R.D.; Lofstedt, C. A Sex Pheromone Receptor in the Hessian Fly Mayetiola destructor (Diptera, Cecidomyiidae). Front. Cell. Neurosci. 2016, 10, 212. [Google Scholar] [CrossRef] [Green Version]
  12. You, Y.; Smith, D.P.; Lv, M.; Zhang, L. A broadly tuned odorant receptor in neurons of trichoid sensilla in locust, Locusta migratoria. Insect Biochem. Mol. Biol. 2016, 79, 66–72. [Google Scholar] [CrossRef] [Green Version]
  13. de Fouchier, A.; Walker, W.B., 3rd; Montagne, N.; Steiner, C.; Binyameen, M.; Schlyter, F.; Chertemps, T.; Maria, A.; Francois, M.C.; Monsempes, C.; et al. Functional evolution of Lepidoptera olfactory receptors revealed by deorphanization of a moth repertoire. Nat. Commun. 2017, 8, 15709. [Google Scholar] [CrossRef] [PubMed]
  14. Li, R.T.; Huang, L.Q.; Dong, J.F.; Wang, C.Z. A moth odorant receptor highly expressed in the ovipositor is involved in detecting host-plant volatiles. eLife 2020, 9, e53706. [Google Scholar] [CrossRef]
  15. An, X.; Khashaveh, A.; Liu, D.; Xiao, Y.; Wang, Q.; Wang, S.; Geng, T.; Gu, S.; Zhang, Y. Functional characterization of one sex pheromone receptor (AlucOR4) in Apolygus lucorum (Meyer-Dur). J. Insect Physiol. 2020, 120, 103986. [Google Scholar] [CrossRef] [PubMed]
  16. Mitchell, R.F.; Andersson, M.N. Olfactory genomics of the Coleoptera. In Insect Pheromone Biochemistry and Molecular Biology; Blomquist, G.J., Vogt, R.G., Eds.; Elsevier Academic Press: London, UK, 2021; pp. 547–590. [Google Scholar]
  17. Mitchell, R.F.; Schneider, T.M.; Schwartz, A.M.; Andersson, M.N.; McKenna, D.D. The diversity and evolution of odorant receptors in beetles (Coleoptera). Insect Mol. Biol. 2020, 29, 77–91. [Google Scholar] [CrossRef]
  18. Zhou, X.R.; Shan, Y.M.; Tan, Y.; Zhang, Z.R.; Pang, B.P. Comparative Analysis of Transcriptome Responses to Cold Stress in Galeruca daurica (Coleoptera: Chrysomelidae). J. Insect Sci. 2019, 19, 8. [Google Scholar] [CrossRef] [PubMed]
  19. Hao, X.; Zhou, X.R.; Pang, B.P.; Zhang, Z.R.; Ma, C.Y. Effects of host plants on feeding amount, growth and development of Galeruca daurica (Joannis) larvae (Coleoptera: Chrysomelidae). Sci. Agric. Sin. 2014, 22, 854–858. [Google Scholar] [CrossRef]
  20. Li, L.; Li, N.; Pang, B.P. Ultrastructure of antennal sensilla and electroantennographic responses to Allium mongolium volatiles in adult Galeruca daurica (Coleoptera: Chrysomelidae). Acta Entomol. Sin. 2022, 65, 333–342. [Google Scholar] [CrossRef]
  21. Li, L.; Zhou, Y.T.; Tan, Y.; Zhou, X.R.; Pang, B.P. Identification of odorant-binding protein genes in Galeruca daurica (Coleoptera: Chrysomelidae) and analysis of their expression profiles. Bull. Entomol. Res. 2017, 107, 550–561. [Google Scholar] [CrossRef]
  22. Li, L.; Zhou, Y.T.; Tan, Y.; Zhou, X.R.; Pang, B.P. Identification and expression profiling of chemosensory protein genes in Galeruca daurica (Coleoptera: Chrysomelidae). Acta Entomol. Sin. 2018, 61, 646–656. [Google Scholar] [CrossRef]
  23. Li, L.; Zhang, W.B.; Shan, Y.M.; Zhang, Z.R.; Pang, B.P. Functional Characterization of Olfactory Proteins Involved in Chemoreception of Galeruca daurica. Front. Physiol. 2021, 12, 678–698. [Google Scholar] [CrossRef]
  24. Li, L.; Tan, Y.; Zhou, X.R.; Pang, B.P. Molecular Cloning, Prokaryotic Expression and Binding Characterization of Odorant Binding Protein GdauOBP20 in Galeruca daurica. Sci. Agric. Sin. 2019, 52, 3705–3712. [Google Scholar] [CrossRef]
  25. Li, Y.Y.; Chen, L.; Li, L.; Tan, Y.; Pang, B.P. Analysis of the transcriptomes of Galeruca daurica (Coleoptera: Chrysomelidae) adults at different summer diapause stages. Acta Entomol. Sin. 2021, 64, 1020–1030. [Google Scholar] [CrossRef]
  26. Tan, Y.; Zhou, X.R.; Pang, B.P. Reference gene selection and evaluation for expression analysis using qRT-PCR in Galeruca daurica (Joannis). Bull. Entomol. Res. 2017, 107, 359–368. [Google Scholar] [CrossRef] [PubMed]
  27. Livak, K.J.; Schmittgen, T.D. Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method. Methods 2001, 25, 402–408. [Google Scholar] [CrossRef]
  28. Li, X.M.; Zhu, X.Y.; Wang, Z.Q.; Wang, Y.; He, P.; Chen, G.; Sun, L.; Deng, D.G.; Zhang, Y.N. Candidate chemosensory genes identified in Colaphellus bowringi by antennal transcriptome analysis. BMC Genom. 2015, 16, 1028. [Google Scholar] [CrossRef] [Green Version]
  29. Gonzalez, F.; Johny, J.; Walker, W.B., 3rd; Guan, Q.; Mfarrej, S.; Jakse, J.; Montagne, N.; Jacquin-Joly, E.; Alqarni, A.S.; Al-Saleh, M.A.; et al. Antennal transcriptome sequencing and identification of candidate chemoreceptor proteins from an invasive pest, the American palm weevil, Rhynchophorus palmarum. Sci. Rep. 2021, 11, 8334. [Google Scholar] [CrossRef] [PubMed]
  30. Wang, J.; Hu, P.; Gao, P.; Tao, J.; Luo, Y. Antennal transcriptome analysis and expression profiles of olfactory genes in Anoplophora chinensis. Sci. Rep. 2017, 7, 15470. [Google Scholar] [CrossRef]
  31. Wu, Z.; Ye, J.; Qian, J.; Purba, E.R.; Zhang, Q.; Zhang, L.; Mang, D. Identification and Expression Profile of Chemosensory Receptor Genes in Aromia bungii (Faldermann) Antennal Transcriptome. Insects 2022, 13, 96. [Google Scholar] [CrossRef] [PubMed]
  32. Scieuzo, C.; Nardiello, M.; Farina, D.; Scala, A.; Cammack, J.A.; Tomberlin, J.K.; Vogel, H.; Salvia, R.; Persaud, K.; Falabella, P. Hermetia illucens (L.) (Diptera: Stratiomyidae) Odorant Binding Proteins and Their Interactions with Selected Volatile Organic Compounds: An In Silico Approach. Insects 2021, 12, 814. [Google Scholar] [CrossRef]
  33. Rondoni, G.; Roman, A.; Meslin, C.; Montagné, N.; Conti, E.; Jacquin-Joly, E. Antennal Transcriptome Analysis and Identification of Candidate Chemosensory Genes of the Harlequin Ladybird Beetle, Harmonia axyridis (Pallas) (Coleoptera: Coccinellidae). Insects 2021, 12, 209. [Google Scholar] [CrossRef]
  34. Zhang, R.B.; Liu, Y.; Yan, S.C.; Wang, G.R. Identification and functional characterization of an odorant receptor in pea aphid, Acyrthosiphon pisum. Insect Sci. 2019, 26, 58–67. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  35. Antony, B.; Johny, J.; Montagne, N.; Jacquin-Joly, E.; Capoduro, R.; Cali, K.; Persaud, K.; Al-Saleh, M.A.; Pain, A. Pheromone receptor of the globally invasive quarantine pest of the palm tree, the red palm weevil (Rhynchophorus ferrugineus). Mol. Ecol. 2021, 30, 2025–2039. [Google Scholar] [CrossRef] [PubMed]
  36. Ji, T.; Xu, Z.; Jia, Q.; Wang, G.; Hou, Y. Non-palm Plant Volatile alpha-Pinene Is Detected by Antenna-Biased Expressed Odorant Receptor 6 in the Rhynchophorus ferrugineus (Olivier) (Coleoptera: Curculionidae). Front. Physiol. 2021, 12, 701545. [Google Scholar] [CrossRef]
  37. Di, C.; Ning, C.; Huang, L.Q.; Wang, C.Z. Design of larval chemical attractants based on odorant response spectra of odorant receptors in the cotton bollworm. Insect Biochem. Mol. Biol. 2017, 84, 48–62. [Google Scholar] [CrossRef]
  38. Miao, C.L.; Hou, W.; Dong, S.L. Developmental stage-, tissue- and sex-specific expression of three major chemoreceptor gene families in diamondback moth Plutella xylostella. J. Plant Prot. 2021, 48, 1310–1319. [Google Scholar] [CrossRef]
  39. Ali, S.; Ahmed, M.Z.; Li, N.; Ali, S.A.I.; Wang, M.Q. Functional characteristics of chemosensory proteins in the sawyer beetle Monochamus alternatus Hope. Bull. Entomol. Res. 2019, 109, 34–42. [Google Scholar] [CrossRef] [PubMed]
  40. Jackson, A.L.; Bartz, S.R.; Schelter, J.; Kobayashi, S.V.; Burchard, J.; Mao, M.; Li, B.; Cavet, G.; Linsley, P.S. Expression profiling reveals off-target gene regulation by RNAi. Nat. Biotechnol. 2003, 21, 635–637. [Google Scholar] [CrossRef] [PubMed]
  41. Dong, K.; Sun, L.; Liu, J.T.; Gu, S.H.; Zhou, J.J.; Yang, R.N.; Dhiloo, K.H.; Gao, X.W.; Guo, Y.Y.; Zhang, Y.J. RNAi-Induced Electrophysiological and Behavioral Changes Reveal two Pheromone Binding Proteins of Helicoverpa armigera Involved in the Perception of the Main Sex Pheromone Component Z11-16:Ald. J. Chem. Ecol. 2017, 43, 207–214. [Google Scholar] [CrossRef] [PubMed]
  42. Guo, M.; Du, L.; Chen, Q.; Feng, Y.; Zhang, J.; Zhang, X.; Tian, K.; Cao, S.; Huang, T.; Jacquin-Joly, E.; et al. Odorant receptors for detecting flowering plant cues are functionally conserved across moths and butterflies. Mol. Biol. Evol. 2021, 38, 1413–1427. [Google Scholar] [CrossRef]
  43. Cheng, L.; Luo, J.; Li, P.; Yu, H.; Huang, J.; Luo, L. Microbial diversity and flavor formation in onion fermentation. Food Funct. 2014, 5, 2338–2347. [Google Scholar] [CrossRef]
  44. He, H.J.; Wang, X.L.; Zhang, J.L. Analysis of volatile components of shallots by GC-MS. J. Anal. Test. 2004, 23, 98–100. [Google Scholar]
  45. Li, M.F.; Li, T.; Li, W.; Yang, L.D. Changes in antioxidant capacity, levels of soluble sugar, total polyphenol, organosulfur compound and constituents in garlic clove during storage. Ind. Crops Prod. 2015, 69, 137–142. [Google Scholar] [CrossRef]
  46. Chen, L.H.; Tian, K.; Wang, G.R.; Xu, X.L.; He, K.H.; Liu, W.; Wu, J.X. The general odorant receptor GmolOR9 from Grapholita molesta (Lepidoptera: Tortricidae) is mainly tuned to eight host-plant volatiles. Insect Sci. 2020, 27, 1233–1243. [Google Scholar] [CrossRef]
  47. Jiang, N.J.; Tang, R.; Wu, H.; Xu, M.; Ning, C.; Huang, L.Q.; Wang, C.Z. Dissecting sex pheromone communication of Mythimna separata (Walker) in North China from receptor molecules and antennal lobes to behavior. Insect Biochem. Mol. Biol. 2019, 111, 103176. [Google Scholar] [CrossRef] [PubMed]
  48. Wang, X.; Wang, S.; Yi, J.; Li, Y.; Liu, J.; Wang, J.; Xi, J. Three host plant volatiles, hexanal, lauric acid, and tetradecane, are detected by an antenna-biased expressed odorant receptor 27 in the dark black chafer Holotrichia parallela. J. Agric. Food Chem. 2020, 68, 7316–7323. [Google Scholar] [CrossRef] [PubMed]
  49. Fan, J.; Zhang, Y.; Francis, F.; Cheng, D.; Sun, J.; Chen, J. Orco mediates olfactory behaviors and winged morph differentiation induced by alarm pheromone in the grain aphid, Sitobion avenae. Insect Biochem. Mol. Biol. 2015, 64, 16–24. [Google Scholar] [CrossRef] [Green Version]
  50. Hallem, E.A.; Ho, M.G.; Carlson, J.R. The molecular basis of odor coding in the Drosophila antenna. Cell 2004, 117, 965–979. [Google Scholar] [CrossRef] [Green Version]
  51. Wang, G.; Carey, A.F.; Carlson, J.R.; Zwiebel, L.J. Molecular basis of odor coding in the malaria vector mosquito Anopheles gambiae. Proc. Natl. Acad. Sci. USA 2010, 107, 4418–4423. [Google Scholar] [CrossRef] [PubMed] [Green Version]
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Figure 1. Expression profiles of GdauORs in different tissues of female and male adults. An: Antennae; Hd: Head without antennae; Th: Thorax; Ab: Abdomen; Le: Leg; Wi: Wing. Error bars represent the standard error of three independent experiments. Different capital and small letters above bars indicate significant difference among different tissues of females and males, respectively (Duncan’s test; p < 0.05). The asterisk above bars indicates significant difference between males and females (T-test; *: p < 0.05; **: p < 0.01; ns: No significant difference).
Figure 1. Expression profiles of GdauORs in different tissues of female and male adults. An: Antennae; Hd: Head without antennae; Th: Thorax; Ab: Abdomen; Le: Leg; Wi: Wing. Error bars represent the standard error of three independent experiments. Different capital and small letters above bars indicate significant difference among different tissues of females and males, respectively (Duncan’s test; p < 0.05). The asterisk above bars indicates significant difference between males and females (T-test; *: p < 0.05; **: p < 0.01; ns: No significant difference).
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Figure 2. Expression profiles of GdauORs at different days after eclosion of antennae in female and male adults. 1 d: 1-day-old; 3 d: 3-day-old; 7 d: 7-day-old; 15 d: 15-day-old; 25 d: 25-day-old; 45 d: 45-day-old; 90 d: 90-day-old. Error bars represent the standard error of three independent experiments. Different capital and small letters above bars indicate significant difference among different developmental days of female and male, respectively (Duncan’s test; p < 0.05). The asterisk above bars indicates significant difference between males and females (T-test; *: p < 0.05; **: p < 0.01; ns: No significant difference).
Figure 2. Expression profiles of GdauORs at different days after eclosion of antennae in female and male adults. 1 d: 1-day-old; 3 d: 3-day-old; 7 d: 7-day-old; 15 d: 15-day-old; 25 d: 25-day-old; 45 d: 45-day-old; 90 d: 90-day-old. Error bars represent the standard error of three independent experiments. Different capital and small letters above bars indicate significant difference among different developmental days of female and male, respectively (Duncan’s test; p < 0.05). The asterisk above bars indicates significant difference between males and females (T-test; *: p < 0.05; **: p < 0.01; ns: No significant difference).
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Figure 3. Expression level of GdauORco after RNAi. The relative expression levels of GdauORco in antennae of dsRNA-injected female and male at different times (T-test; **: p < 0.01).
Figure 3. Expression level of GdauORco after RNAi. The relative expression levels of GdauORco in antennae of dsRNA-injected female and male at different times (T-test; **: p < 0.01).
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Figure 4. Expression level of GdauOR4 (a), GdauOR11 (b) and GdauOR15 (c) after RNAi 48 h. Bars labeled with different letters are significantly different (T-test; **: p < 0.01). Columns indicate the mean ± standard error of three independent experiments.
Figure 4. Expression level of GdauOR4 (a), GdauOR11 (b) and GdauOR15 (c) after RNAi 48 h. Bars labeled with different letters are significantly different (T-test; **: p < 0.01). Columns indicate the mean ± standard error of three independent experiments.
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Figure 5. EAG responses of dsRNA-OR4-injected, dsRNA-OR11-injected, dsRNA-OR15-injected and dsRNA-ORco-injected in G. daurica female and males to various compounds. Columns indicate the mean ± standard error of six independent experiments. (T-test; *:p < 0.05; **: p < 0.01). CK: Mineral oil; A: Diallyl sulfide; B: 1,3-Dithiane; C: Dimethyl trisulfide; D: Diallyl disulphide; E: Diallyl trisulfide; F: 2-Hexen-1-ol; G: Myrcene; H: 2-Hexenal; I: Methyl benzoate; J: Hexanal; K: 1,3,5-Cycloheptatriene; L: p-Xylene; M: Disulfide methyl 2-propenyl.
Figure 5. EAG responses of dsRNA-OR4-injected, dsRNA-OR11-injected, dsRNA-OR15-injected and dsRNA-ORco-injected in G. daurica female and males to various compounds. Columns indicate the mean ± standard error of six independent experiments. (T-test; *:p < 0.05; **: p < 0.01). CK: Mineral oil; A: Diallyl sulfide; B: 1,3-Dithiane; C: Dimethyl trisulfide; D: Diallyl disulphide; E: Diallyl trisulfide; F: 2-Hexen-1-ol; G: Myrcene; H: 2-Hexenal; I: Methyl benzoate; J: Hexanal; K: 1,3,5-Cycloheptatriene; L: p-Xylene; M: Disulfide methyl 2-propenyl.
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Table
Table 1. Odorant stimulus for EAG.
Table 1. Odorant stimulus for EAG.
NumberCompound NameMolecular FormulaStructural FormulaCAS NumberPurity (%)Manufacturers
ADiallyl sulfideC6H10S Insects 13 00563 i001592-88-197Sigma, St. Louis, MO, USA
B1,3-DithianeC4H8S2 Insects 13 00563 i002505-23-797Sigma, St. Louis, MO, USA
CDimethyl trisulfideC2H6S3 Insects 13 00563 i0033658-80-898Sigma, St. Louis, MO, USA
DDiallyl disulphideC6H10S2 Insects 13 00563 i0042179-57-998Sigma, St. Louis, MO, USA
EDiallyl trisulfideC6H10S3 Insects 13 00563 i0052050-87-598Sigma, St. Louis, MO, USA
F2-Hexen-1-olC6H12O Insects 13 00563 i006928-95-096Sigma, St. Louis, MO, USA
GMyrceneC10H16 Insects 13 00563 i007123-35-395Sigma, St. Louis, MO, USA
H2-HexenalC6H10O Insects 13 00563 i0086728-26-397Sigma, St. Louis, MO, USA
IMethyl benzoateC8H8O2 Insects 13 00563 i00993-58-396Sigma, St. Louis, MO, USA
JHexanalC6H12O Insects 13 00563 i01066-25-198Sigma, St. Louis, MO, USA
K1,3,5-CycloheptatrieneC7H8 Insects 13 00563 i011544-25-295Sigma, St. Louis, MO, USA
Lp-XyleneC8H10 Insects 13 00563 i012106-42-399Sigma, St. Louis, MO, USA
MDisulfide methyl 2-propenylC4H8S2 Insects 13 00563 i0132179-58-0>90 GCTCI, Shanghai, China
Table
Table 2. List of OR genes in G. daurica transcriptome.
Table 2. List of OR genes in G. daurica transcriptome.
Gene NameAccession NumberORF (bp)BLAST AnnotationQuery CoverE
-Value		Ident (%)Accession
GdauOR1MK691770780odorant receptor 2 (Pyrrhalta maculicollis)983 × 10−5338APC94225.1
GdauOR2MK691771687odorant receptor 2 (Pyrrhalta aenescens)985 × 10−10768APC94306.1
GdauOR3MK691772438odorant receptor 2 (Pyrrhalta aenescens)934 × 10−3447APC94306.1
GdauOR4MK691773360odorant receptor 22 (Pyrrhalta maculicollis)1004 × 10−6381APC94232.1
GdauOR5MK691774351odorant receptor 83a-like (Anoplophora glabripennis)1007 × 10−0833XP_023310752.1
GdauOR6MK691775318odorant receptor 25 (Pyrrhalta aenescens)921 × 10−3054APC94326.1
GdauOR7MK691776285odorant receptor 21 (Pyrrhalta maculicollis)859 × 10−2456APC94243.1
GdauOR8MK691777276odorant receptor 2 (Pyrrhalta aenescens)911 × 10−1445APC94306.1
GdauOR9MK691778270dorant receptor 25 (Pyrrhalta aenescens)951 × 10−2559APC94326.1
GdauOR10MK691779267odorant receptor 22 (Pyrrhalta maculicollis)1009 × 10−4476APC94232.1
GdauOR11MK691780255odorant receptor 5 (Pyrrhalta maculicollis)963 × 10−4386APC94229.1
GdauOR12MK691781246odorant receptor 5 (Pyrrhalta maculicollis)972 × 10−3782APC94229.1
GdauOR13MK691782240odorant receptor 12 (Pyrrhalta aenescens)882 × 10−2877APC94320.1
GdauOR14MK691783237odorant receptor Or2-like (Leptinotarsa decemlineata)855 × 10−1957XP_023024059.1
GdauOR15MK691784234odorant receptor 3, partial (Pyrrhalta aenescens)1001 × 10−2665APC94308.1
GdauOR16MK691785231odorant receptor 23, partial (Pyrrhalta aenescens)1001 × 10−2568APC94324.1
GdauOR17MK691786225odorant receptor 25 (Pyrrhalta aenescens)1004 × 10−2357APC94326.1
GdauOR18MK691787216odorant receptor (Anoplophora chinensis)972 × 10−1143AUF73043.1
GdauOR19MK691788213odorant receptor OR38 (Colaphellus bowringi)942 × 10−1854ALR72581.1
GdauOR20MK691789168odorant receptor 25 (Pyrrhalta aenescens)1008 × 10−1256APC94326.1
GdauORcoMK691790465odorant receptor coreceptor, partial (Agrilus planipennis)1001 × 10−10395XP_025831003.1
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Zhang, J.-H.; Li, L.; Li, N.; Li, Y.-Y.; Pang, B.-P. Expression Profiling and Functional Analysis of Candidate Odorant Receptors in Galeruca daurica. Insects 2022, 13, 563. https://doi.org/10.3390/insects13070563

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Zhang J-H, Li L, Li N, Li Y-Y, Pang B-P. Expression Profiling and Functional Analysis of Candidate Odorant Receptors in Galeruca daurica. Insects. 2022; 13(7):563. https://doi.org/10.3390/insects13070563

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Zhang, Jing-Hang, Ling Li, Na Li, Yan-Yan Li, and Bao-Ping Pang. 2022. "Expression Profiling and Functional Analysis of Candidate Odorant Receptors in Galeruca daurica" Insects 13, no. 7: 563. https://doi.org/10.3390/insects13070563

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