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ORIGINAL RESEARCH article

Front. Genet., 15 January 2021
Sec. Evolutionary and Population Genetics

The Characteristics of Chemosensory and Opsin Genes in Newly Emerged and Sexually Mature Agrilus planipennis, an Important Quarantine Forest Beetle

  • 1Key Laboratory of Forest Protection of National Forestry and Grassland Administration, Research Institute of Forest Ecology, Environment and Protection, Chinese Academy of Forestry, Beijing, China
  • 2College of Grassland Science and Technology, China Agricultural University, Beijing, China
  • 3Forest Control Station of Dawu County, Xiaogan, China

The emerald ash borer (EAB), Agrilus planipennis, is a highly destructive quarantine pest. The olfactory and visual systems of A. planipennis play different but critical roles at newly emerged and sexually mature stages; however, the molecular basis underlying these differences remain unclear. Consequently, based on deep transcriptome sequencing, we evaluated the expression levels of chemosensory-related proteins and opsins at the two developmental stages of A. planipennis. We found 15 new chemosensory-related genes in our transcriptome assembly compared with the previous genome assembly, including 6 that code for odorant-binding proteins (OBPs) and 9 for chemosensory proteins (CSPs). The expression of several chemosensory-related genes (OBP7, OBP10, CSP1, and CSP12) differed markedly between newly emerged and sexually mature A. planipennis. We also found that the expression of UV opsin 2 and LW opsin 1 was higher in sexually mature male A. planipennis, which may be associated with their strong visual mate detection ability. This study forms the basis for further investigation of the chemosensory and visual system of A. planipennis, and these differentially expressed genes between newly emerged and sexually mature stages may serve as targets for the management of this destructive forest pest after sexual maturity.

Introduction

The emerald ash borer (EAB), Agrilus planipennis Fairmaire (Coleoptera: Buprestidae), is native to Asia and eastern Russia, and was not known as a pest before 2004 (Wei et al., 2004). However, since its invasion into the USA and Canada (Cappaert et al., 2005; Poland and McCullough, 2006), this species has caused extensive ash tree (Fraxinus spp. L.; Oleaceae) mortality, while its continued spread in North America threatens all native ash species (Wei et al., 2004; Poland and McCullough, 2006), resulting in extensive economic losses. Furthermore, North American ash species planted in Asia were shown to be highly susceptible to A. planipennis (Liu et al., 2003). Because larvae feed in phloem and cambial regions of the trees while adults are free-living and feed on the margins of leaves throughout their lifetime, the adult stage is the most conducive for behavioral control of this pest.

Several studies have investigated the chemical ecology of EABs since their potential to cause damage first became apparent (Crook and Mastro, 2010). Emerged A. planipennis feed for ~2 weeks before attaining sexual maturity. Host volatiles, such as green leaf volatiles (Poland and McCullough, 2006; Rodriguez-Saona et al., 2006; Groot et al., 2008; Grant et al., 2010) and bark sesquiterpenes (Poland and McCullough, 2006; Crook et al., 2008), can help the freshly emerged EABs locate host plants (Rodriguez-Saona et al., 2006). For instance, (3Z)-hexenol, a green leaf volatile, is highly attractive to males (Groot et al., 2008; Grant et al., 2010; Silk et al., 2011). Sexually mature male EABs primarily find females via visual searches (Lelito et al., 2007; Rodriguez-Saona et al., 2007). The males hover 0.3–1.0 m above females, and then rapidly and accurately descend onto them, a behavior known as “paratrooper copulation” (Lelito et al., 2007). However, olfactory cues are more important at short range (≤5 cm) (Pureswaran and Therese, 2009). These observations indicate that both the olfactory and visual systems of adult A. planipennis are important for host location and mating activity. Furthermore, host volatiles and trap color were synergistic in attracting EAB to traps suggesting cooperation of the visual and olfactory sensory systems (Crook et al., 2008; Groot et al., 2008). Exploring the mechanisms underlying these two sensory systems is important for controlling adult activities, such as by interfering with their feeding and mating.

Olfaction (Benton et al., 2009; Touhara and Vosshall, 2009; Kaupp, 2010) and vision (Kelber, 1999; Jiggins et al., 2001; Endler and Mappes, 2004) underlie crucial behaviors for insect fitness, such as host and mate location. Semiochemical and visual signal detection is mediated via chemosensory proteins and opsins, respectively. Chemosensory proteins include three types of membrane-bound receptors, two types of binding proteins, and sensory neuron membrane proteins (SNMPs) (Su et al., 2009). Olfactory receptors (ORs) are seven-transmembrane domain proteins with a cytoplasmic N-terminus and extracellular C-terminus, opposite to that seen in vertebrate ORs. These receptors are mainly involved in sensing sex pheromones, host plant volatiles, and other environmental odorants from a distance (Hallem and Carlson, 2006) (Benton et al., 2006; Smart et al., 2008). Each OR forms a heterotetrameric complex with an odorant receptor coreceptor (Orco) (Vosshall and Hansson, 2011). Gustatory receptors (GRs) (Vosshall and Stocker, 2007) are mainly involved in sensing sugar, bitter compounds, and carbon dioxide (Kwon et al., 2007). Antennal ionotropic receptors (IRs) are related to the conserved ionotropic glutamate receptor (iGluR) family, and are expressed in a combinatorial fashion in sensory neurons involved in olfaction and in sensing humidity, salt, and temperature (Croset et al., 2010; Chen et al., 2015; Enjin et al., 2016). The two types of binding proteins comprise small soluble odorant-binding proteins (OBPs) (Vogt, 2003; Sanchez-Gracia et al., 2009) and chemosensory proteins (CSPs) (Pelosi et al., 2006) that primarily bind, solubilize, and transport hydrophobic odor molecules. Some CSP-related genes are also expressed in non-chemosensory tissues and have non-sensory functions (Pelosi et al., 2006). Finally, SNMPs are scavenger proteins of the CD36 family and are associated with pheromone responses (Vogt et al., 2009).

The amino acid sequences of the opsins and chromophores (usually 11-cis-retinal) together determine the spectral sensitivity of insect photoreceptors (Gartner and Towner, 1995; Shichida and Imai, 1998; Terakita, 2005). Opsins can be divided into three classes—ultraviolet-sensitive (UV opsins), blue light-sensitive (Blue opsins), and long wavelength-sensitive (LW opsins) — that underpin their sensitivity to ultraviolet (~350 nm), short (~440 nm), and long (~530 nm) wavelength light, respectively (Briscoe, 2001). Insects commonly possess opsins that are sensitive to UV, Blue, and LW spectral peaks (Wakakuwa et al., 2005; Pohl et al., 2009). However, duplications of Blue and LW opsins have been recorded in several insect orders, whereas UV opsin duplications have only been recorded in relatively few species (Lord et al., 2016). In contrast, the loss of opsin genes is mainly found in the Coleoptera (beetles) (Lord et al., 2016).

Mittapalli et al. (2010) was the first to report tissue-specific (midgut and fat body) gene expression in A. planipennis, revealing a large number of candidate genes involved in detoxification and providing insights into transcriptionally driven physiological adjustments. Stage-specific unigenes (from larvae, prepupae, pupae, and adults) were also subsequently identified (Duan et al., 2015). Some studies have also focused on the identification of chemosensory genes and opsins in A. planipennis. Antennal transcriptome-based identification of odor-processing genes in 2013 yielded 9 OBPs, 2 ORs, and 1 SNMP in A. planipennis (Praveen et al., 2013), while a further 2 UV opsins and 3 LW opsins were identified in 2016 (Lord et al., 2016). Genome-wide identification of chemosensory genes led to the annotation of 47 ORs, 30 GRs, 31 IRs, 4 SNMPs, 12 OBPs, and 14 CSPs (Andersson et al., 2019).

After emerging, A. planipennis adults usually take 2 weeks to reach sexual maturity, and the sensitivity of the olfactory and visual systems differs between these two stages. By identifying the genes that mediate host plant detection and sex-related activities, more can be learned about the adult stage of this pest, and suitable targets for disrupting feeding and mating can be identified. Here, we compared the head (including antennae) tissue transcriptomes of newly emerged and sexually mature A. planipennis. We also increased the depth of sequencing to obtain more information on genes that are expressed at low levels. Our results not only improve the identification of chemosensory genes and opsins in A. planipennis, but also provide clues about their function at different adult developmental stages.

Materials and Methods

Insects

Sections of ash tree wood containing overwintering A. planipennis were collected from the Changping district of Beijing in April 2019. Ash trees infested with A. planipennis were identified and the insects were collected from multiple trees. Ash logs with cut ends waxed were placed in cages, maintained in the laboratory at 26 ± 2°C, with 50 ± 10% relative humidity and under a 16:8 h light/dark photoperiod. Agrilus planipennis adults emerged ~1 month later, and were collected daily and separated by sex. In order to obtain sexually mature adults, we kept female and male EABs with similar emergence periods in the same glass jar, sealed with gauze, covered with a layer of filter paper, and reared together with clean ash tree leaves collected from the ash tree planted in the Chinese Academy of Forestry. When we found eggs began to appear on the filter paper, we thought adults in this jar have reached sexual maturity. Four groups were established: Eclosion-Female (newly emerged females), Eclosion-Male (newly emerged males), Mating-Females, and Mating-Males. Each live sample contained the heads (including antennae) of 10 insects, and three biological replicates were prepared for each treatment. The samples were immediately frozen in liquid nitrogen and stored at −70°C.

RNA-Seq Library Preparation and Sequencing

TRIzol reagent (Invitrogen, Carlsbad, CA, USA) was used to extract total RNA as previously described (Zhang et al., 2014, 2017) and the RNA was treated with DNase I to remove genomic DNA (TaKaRa, Dalian, Liaoning, China). The integrity and purity of the total RNA were assessed using a 2100 Bioanalyzer (Agilent Technologies, Inc., Santa Clara, CA, USA); total RNA was quantified using a NanoDrop ND-2000 (Thermo Scientific, Wilmington, DE, USA). High-quality RNA samples with an RIN ≥8.0 were used for sequencing library construction. Sequencing libraries were prepared with 1 μg of total RNA according to the instructions of the Illumina TruSeq™ RNA Sample Preparation Kit (Illumina, San Diego, CA, USA) (Zhulidov et al., 2004; Bogdanova et al., 2008). After quantification using a TBS380 Mini-Fluorometer, the samples were sequenced on an Illumina Hiseq X-Ten Sequencer (Illumina) with a paired-end read length of 150 bp. The biological replicates were sequenced separately.

De novo Assembly of the Sequences

Considering the integrity of gene annotations and the existence of variable splicing, our data assembly does not refer to known genomic data. Clean data were obtained by filtering out adaptors and low-quality reads from raw sequencing data with SeqPrep (https://github.com/jstjohn/SeqPrep) and Sickle (https://github.com/najoshi/sickle) using default parameters. Trinity r20131110 (http://trinityrnaseq.sourceforge.net/) (Grabherr et al., 2011) was used to perform the de novo assembly of the clean data, and redundancies were removed using TGICL software (Pertea et al., 2003).

Annotation

Annotation was performed by blasting the assembled transcripts against seven databases (NR, Swiss-Prot, eggNOG4.5, COG, KOG, GO, and KEGG) to retrieve unigene function annotations (cut-off: 1e-5). BLAST2GO (http://www.blast2go.com/) (Conesa et al., 2005; Götz et al., 2008) was used to search GO annotations for unique transcripts (Ashburner et al., 2000; Krieger et al., 2004), and Kyoto Encyclopedia of Genes and Genomes (KEGG, http://www.genome.jp/kegg/) was used to analyze metabolic pathways.

The genes of interest were then manually identified. Two methods were used for chemosensory-related genes. First, tBLASTx similarity searches were conducted between A. planipennis assembled unigenes and chemosensory-related genes from other insects (including Drosophila melanogaster, Bombyx mori, and other long-horned beetles) as query sequences (Supplementary Table 1). Secondly, annotated information of the above unigenes was also used. Open reading frames (ORFs) of the candidate genes identified through both methods were then further verified by BLAST.

For the opsin genes, we first performed tBLASTx similarity searches between A. planipennis assembled unigenes and opsins from other insects as query sequences (Supplementary Table 2). We also isolated potential light-interacting genes from the transcriptomes by implementing the Phylogenetically-Informed Annotation (PIA) tool (Speiser et al., 2014) in Galaxy. The contigs isolated by the PIA tool were blasted to identify candidate opsins. The candidate genes identified by the two methods were confirmed by ORF blast.

Gene Expression Quantification

The fragments per kilobase of exon per million mapped reads (FRKM) method was used to calculate the expression level of each transcript (Trapnell et al., 2010). Differentially expressed genes (DEGs) were identified using the EdgeR package in R (http://www.bioconductor.org/packages/2.12/bioc/html/edgeR.html) (Anders and Huber, 2010), and normalization of unigene expression levels and DEGs was performed using the compatible-hits-norm model (Robinson et al., 2010). Statistical tests followed by ANOVA were performed using GraphPad Prism. For olfactory genes, we use asterisks to indicate significant differences between two sexes or two stages, and for opsins, we ues a, b, c to indicate significant differences. The expression levels and P-values of differentially expressed genes are summarized in Supplementary Tables 3, 4.

Phylogenetic Analysis

Phylogenetic analysis of the opsins was performed by MEGA-X, using the A. planipennis predicted protein sequences and orthologous genes from other insects (Kumar et al., 2018). The predicted amino acid sequences were aligned using the online version of MAFFT with default settings (https://www.ebi.ac.uk/Tools/msa/mafft/) (Katoh et al., 2005). A 1,000 bootstrap replicated phylogenetic tree was constructed using the Le and Gascuel model (Le and Gascuel, 2008) with frequencies and gamma-distributed sites (LG+F+G) based on the result of MEGA's model test. Tree annotation was performed in Adobe Illustrator.

Quantification of Gene Expression Levels by Real-Time Quantitative PCR

To obtain the templates for real-time quantitative PCR (qPCR), the same RNA that was used for transcriptome sequencing was reverse transcribed using M-MLV reverse transcriptase (Promega, USA), according to the manufacturer's instructions. We designed qPCR primers to generate 100–250-bp products from the unigene sequences (Supplementary Table 5). The primers were first verified with normal PCR (TaKaRa); the generated amplicons were sequenced to verify the products and ensure that no primer dimers were present. The 2−ΔΔCT method was used to quantify the relative expression level of each gene. The expression levels of all the genes were normalized to that of translation elongation factor 1 alpha (EF1A) as previously reported (Zhao et al., 2015a). qPCR was performed in 20-μL reaction volumes (including 10 μL of SuperReal PreMix, Tiangen, Beijing, China) on an ABI7500 thermal cycler (USA) using the following parameters: 2 min at 95 °C, 40 cycles of 20 s at 95°C, 20 s at 58°C, and 20 s at 72°C, and finally 58 to 95°C for melting curve analysis and evaluation of PCR product specificity. Each sample had three technical replicates and three biological replicates.

Results

An Overview of the Transcriptomes of A. planipennis

More than 10 Gbp of clean data were obtained for each sample by Illumina sequencing, and the Q30 value was higher than 94%. De novo assembly of the clean data using Trinity yielded 39,476 contigs with an N50 of 2,291 bp; the length distributions of the transcriptome assemblies are shown in Supplementary Figure 1. The mapping rates of clean data to each sample was >87.68%. Gene annotation against seven databases yielded annotations for 20,767 unigenes.

Identification of Chemosensory and Opsin Genes in the A. planipennis Transcriptomes

We focused our analysis on chemosensory and opsin genes. Although a considerable number of chemosensory genes have been identified in A. planipennis at the genome-wide level (Andersson et al., 2019), we identified an additional 15 novel genes in our transcriptome assembly, including 6 that code for OBPs and 9 for CSPs. The 15 new chemosensory genes were submitted to NCBI with the accession numbers MT136965–MT136970 and MT136972–MT136980. Among these 15 genes, only 1 CSP-encoding gene and 1 OBP-encoding gene are in the genome database. Due to the spatiotemporal specificity of the transcriptomic data, we did not detect all the previously identified chemosensory-related genes. For opsin genes, we identified 3 coding for UV opsins, 1 for a UV opsin-like gene, 2 for Green opsins, and 2 for LW opsins. A BLAST comparison indicated that four of the opsin-related genes from our transcriptomic data were new and were not reported by Lord et al. (2016), and these four new A. planipennis genes were submitted to NCBI with the accession numbers MT136959–MT136962.

Characteristics of the Chemosensory-Related Genes From Newly Emerged and Sexually Mature A. planipennis

As the olfactory activities of newly emerged (have feeding as the primary behavior) and sexually mature (have mating as the primary behavior) A. planipennis are different, it is essential to determine the differences in olfactory responses between these two stages at the molecular level. We compared the expression levels of all the identified chemosensory genes (including previously identified genes and those newly identified in our study) between two developmental stages (newly emerged stage and sexually mature stage) and between the two sexes; several of these genes were verified by qPCR.

Only OBP9 and OBP13 were expressed significantly different between the sexes (Figures 1A,B). The expression of OBP9 was higher in females than males at both the newly emerged and the sexually mature stages (Eclosion: df = 4, F = 19.898, P = 0.011; Mating: df = 4, F = 9.271, P = 0.029), and in males the expression of OBP13 was higher at sexual maturity than females(df = 4, F = 7.177, P = 0.044). The expression differences of chemosensory genes between two stages (newly emerged stage and sexually mature stage) were also tested (Figures 1C,D). The expression levels of OBP7 and OB10 were significantly higher at the newly emerged stage than at the sexually mature stage in both female (OBP7: df = 4, F = 19.187, P = 0.007; OBP10: df = 4, F = 47.786, P = 0.001; Figure 1C) and male (OBP7: df = 4, F = 9.267, P = 0.038; OBP10: df = 4, F = 29.516, P = 0.006; Figure 1D) A. planipennis, while that of OBP5 was significantly higher at the sexually mature stage in both sexes than at eclosion (Female: df = 4, F = 30.407, P = 0.003; Male: df = 4, F = 137.809, P = 0.0003; Figures 1C,D). The expression levels of OBP7 and OBP10 were considerably higher than that of OBP5 in both sexes and stages.

FIGURE 1
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Figure 1. Comparison of the expression levels of OBP genes between the sexes and between two stages. The expression level was determined based on fragments per kb per million reads (FPKM). The standard errors are represented by error bars; different number of asterisks above the bars denote significant differences (N = 3, *indicates statistical significance at the 0.05 level, **indicates statistical significance at the 0.01 level). (A) Comparison of the expression levels of OBP genes between newly emerged male and female A. planipennis. (B) Comparison of the expression levels of OBP genes between sexually mature male and female A. planipennis. (C) Comparison of the expression levels of OBP genes between newly emerged and sexually mature A. planipennis females. (D) Comparison of the expression levels of OBP genes between newly emerged and sexually mature A. planipennis males.

The expression patterns of the CSPs, which are also binding protein, also showed few differences between sexes, in contrast to that observed between the two stages (Figure 2). Only CSP1 showed higher expression in female A. planipennis at sexual maturity when compared with that of sexually mature males (df = 4, F = 9.083, P = 0.030; Figure 2B) (no differences in CSP expression were found at the newly emerged stage; Figure 2A). However, in female A. planipennis, seven CSPs were differentially expressed between the two stages (Figure 2C). Of these, CSP3, CSP1, CSP8, CSP22, and CSP11 exhibited higher expression at the newly emerged stage(CSP3: df = 4, F = 6.593, P = 0.05; CSP1: df = 4, F = 6.800, P = 0.048; CSP8: df = 4, F = 9.819, P = 0.026; CSP22: df = 4, F = 8.288, P = 0.035; CSP11: df = 4, F = 8.761, P = 0.032), while the expression levels of CSP12 and CSP4 were higher at the sexually mature stage(CSP12: df = 4, F = 115.158, P = 0.0001; CSP4: df = 4, F = 7.329, P = 0.042). In male A. planipennis, three CSPs were differentially expressed between the two stages, and showed a similar pattern to that of females (Figure 2D). Among the DEGs, CSP1 was highly expressed at eclosion (df = 4, F = 52.156, P = 0.002)and CSP12 was highly expressed at mating(df = 4, F = 24.836, P = 0.008), whereas the other CSPs (CSP3, CSP8, CSP22, and CSP4) showed low abundance.

FIGURE 2
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Figure 2. Comparison of the expression levels of CSP genes between the sexes and between two stages. The expression level was determined based on fragments per kb per million reads (FPKM). The standard errors are represented by error bars, different number of asterisks above the bars denote significant differences (N = 3, * indicates statistical significance at the 0.05 level, ** indicates statistical significance at the 0.01 level). (A) Comparison of the expression levels of CSP genes between newly emerged male and female A. planipennis. (B) Comparison of the expression levels of CSP genes between male and female A. planipennis at sexual maturity. (C) Comparison of the expression levels of CSP genes between newly emerged and sexually mature A. planipennis females. (D) Comparison of the expression levels of CSP genes between newly emerged and sexually mature A. planipennis males.

The expression of the ORs, important A. planipennis receptor proteins, was compared between the two stages and between the sexes. No DEGs between the sexes were found in newly emerged A. planipennis (Figure 3A). OR19 and OR34INT was differentially expressed between the sexes at sexual maturity (OR19: df = 4, F = 10.882, P = 0.022; OR34INT: df = 4, F = 47.336, P = 0.001); however, their expression levels were low (Figure 3B). OR5 showed the highest expression level among the ORs without obvious difference both between the sexes and between the two stages. No DEGs between two stages were found in females (Figure 3C). OR16 and OR34INT was differentially expressed between the two stages in males (OR16: df = 4, F = 19.862, P = 0.011; OR34INT: df = 4, F = 20.320, P = 0.011); however, their expression levels were very low (Figure 3D).

FIGURE 3
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Figure 3. Comparison of the expression levels of OR genes between the sexes and between two stages. The expression level was determined based on fragments per kb per million reads (FPKM). The standard errors are represented by error bars, different number of asterisks above the bars denote significant differences (N = 3, * indicates statistical significance at the 0.05 level, ** indicates statistical significance at the 0.01 level). (A) Comparison of the expression levels of OR genes between newly emerged male and female A. planipennis. (B) Comparison of the expression levels of OR genes between male and female A. planipennis at sexual maturity. (C) Comparison of the expression levels of OR genes between newly emerged and sexually mature A. planipennis females. (D) Comparison of the expression levels of OR genes between newly emerged and sexually mature A. planipennis males.

The expression patterns of other chemosensory genes (GRs, IRs, and SNMPs) were also analyzed, and, overall, differed little between the two stages and between the sexes (Supplementary Figures 24). Among the GRs, only GR8NTE, the expression level of which was very low, was differentially expressed between the sexes at sexual maturity (df = 4, F = 8.344, P = 0.034, Supplementary Figure 2B), and also between the two stages in females (df = 4, F = 49.799, P = 0.001; Supplementary Figure 2C). Among the IRs, the expression of IR76b was higher in newly emerged males (Supplementary Figure 3A) and that of IR93a and IR41aINT differed between the sexes at sexual maturity (IR93a: df = 4, F = 7.469, P = 0.041; IR41aINT: df = 4, F = 7.366, P = 0.042; Supplementary Figure 3B). Notably, IRs were the only class of chemosensory genes that differed between the sexes but not between the two stages. Finally, no significant differences in SNMP expression were detected either between the two stages or between the sexes (Supplementary Figure 4). We selected three DEGs related to olfaction and vision in A. planipennis (OBP7, UV opsin 2, and LW opsin 1) and some non-differentially expressed genes for verification by qPCR, with the results indicating that the transcriptome data were reliable (Supplementary Figure 5).

Phylogenetic Analysis of the Opsins From A. planipennis

A phylogenetic tree was constructed with opsin protein sequences from A. planipennis and other species, including the model insects D. melanogaster and A. mellifera, as well as other insects from the orders Lepidoptera, Hymenoptera, and Coleoptera (Figure 4). The phylogenetic analysis showed that UV and LW opsins from A. planipennis were clustered into the corresponding branches of the other insects, and no Blue opsins were found in A. planipennis. The UV-like opsin gene of A. planipennis was clustered with a circadian photoreceptor (Rh7) from D. melanogaster and other insects in a separate branch.

FIGURE 4
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Figure 4. Phylogenetic analysis of A. planipennis opsins and those of other insects. The phylogenetic tree was constructed with the sequences of opsin proteins from A. planipennis and other species, including the model insects D. melanogaster and Apis mellifera, as well as other insects from Lepidoptera, Hymenoptera, and Coleoptera.

The Expression Levels of the Opsins in Newly Emerged and Sexually Mature A. planipennis

The expression levels of the seven opsin genes differed between newly emerged and sexually mature A. planipennis (Figure 5). Among the seven opsins, UV opsin 1 (Figure 5B), UV opsin 3 (Figure 5D), Green opsin 1 (Figure 5E), Green opsin 2 (Figure 5F), and LW opsin 2 (Figure 5H) showed no differences in expression either between the sexes or between the two developmental stages. The expression of UV opsin 2 (df = 4, F = 12.164, P = 0.002; Figure 5C) and LW opsin 1 (df = 4, F = 8.338, P = 0.006; Figure 5G) was significantly higher in sexually mature males, comparing with the females. Additionally, three of the seven opsins were highly expressed (UV opsin 2, UV opsin 3, and LW opsin 1). The proportions of gene expression levels in newly emerged and sexually mature A. planipennis of both sexes are illustrated in Figure 5A. The ratio of LW opsins was higher at the sexually mature stage than in the newly emerged stage; the opposite result was observed for the ratio of UV opsins.

FIGURE 5
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Figure 5. Comparison of opsin expression levels between the sexes and between two stages. The expression levels were determined based on fragments per kb per million reads (FPKM). The standard errors are represented by error bars, different lowercase letters (a, b, c) above the bars denote significant differences (N = 3). (A) The proportions of the expression levels of different genes in the different sexes and stages. Comparison of the expression levels of UV opsin 1 (B), UV opsin 2 (C), UV opsin 3 (D), Green opsin 1 (E), Green opsin 2 (F), LW opsin 1 (G), and LW opsin 2 (H) between the sexes and two stages (newly emergent and sexually mature).

Discussion

Although Coleoptera is the largest order of insects, relatively few studies have investigated their sensory systems when compared with Diptera, Lepidoptera, and Hymenoptera (Engsontia et al., 2014; Zhao et al., 2015b). Chemosensory genes have been identified in several Coleoptera insects (Mitchell et al., 2020). In this study, we selected two different A. planipennis developmental stages—the newly emerged stage and the sexual maturity—to identify and compare the key proteins involved in the chemosensory and vision systems of this species.

Because OBPs are involved in the first step of odor detection; therefore, they are the focus of olfactory research (Pelosi et al., 2006). Based on previous results, we sought to identify additional OBPs in A. planipennis, and found six new OBP-coding genes. We found that their expression was largely similar between sexes, both in newly emerged and sexually mature A. planipennis. However, two OBPs (OBP7 and OBP10) were highly expressed, and both showed markedly higher expression at the newly emerged stage. Studies have indicated that host volatiles, including green leaf volatiles, and especially (3Z)-hexenol (Rodriguez-Saona et al., 2007; Groot et al., 2008; Grant et al., 2010; Ryall et al., 2012), and bark sesquiterpenes (Crook et al., 2008), can help newly emerged A. planipennis locate host trees. OBP7 and OBP10 of A. planipennis may be associated with the sensing of these host volatiles; however, further functional studies are needed to determine this.

The CSPs, comprising another class of small binding proteins, also showed few between-sex differences in adult A. planipennis. However, two CSPs were found to be significantly highly expressed: the expression of CSP1 was higher at the newly emerged stage, while that of CSP12 was higher at sexual maturity for both sexes. The function of these highly expressed genes is still unclear, and in the future, we will perform functional analysis to determine their functions.

OR proteins are key receptors in the olfaction system, translating chemical signals (such as those from host volatiles and pheromones) into electrical nerve impulses (Clyne et al., 1999; Vosshall et al., 1999). Our results showed that only two low expression ORs (OR16 and OR34INT) expressed significantly higher in the mature males, while no difference were found for OR5, which displayed the strongest expression among the ORs. The function of these gene need further studies.

We did not find Blue opsins in A. planipennis, as also previously reported (Lord et al., 2016). However, three UV opsins and four LW opsins (including Green opsins and LW opsins) were found to be duplicated, more than that previously reported (Lord et al., 2016). Interestingly, two opsins (UV opsin 2 and LW opsin 1) showed markedly higher expression in sexually mature males, and the proportion of expressed LW opsins was higher at the sexually mature stage than at the newly emerged stage. Sexually mature male A. planipennis are known to have strong visual mate searching ability (Lelito et al., 2007; Crook et al., 2009), and higher expression levels of these opsin genes may be related to this characteristic.

Overall, the expression levels of chemosensory genes in A. planipennis were largely similar between the sexes at both adult stages. However, the expression levels of several chemosensory genes (OBP7, OBP10, CSP1, and CSP12) were significantly different between newly emerged and sexually mature adult A. planipennis, and OBP7, OBP10, CSP1 exhibited high levels of expression at eclosion, CSP12 exhibited high levels of expression at mating stage. For the vision genes, the expression of UV opsin 2 and LW opsin 1 was higher in sexually mature A. planipennis males. Studies on the functions of these chemosensory-related genes and opsins are urgently needed. In the future, we will use RNAi and electrophysiological technology, combined with behavioral tests to perform functional verification, and discuss the physiological processes that these genes may participate in.

During sampling, the whole head was selected for sequencing due to the small antennae of the adults and the large sample demand. However, this also brought some problems: the head portion majorly represents chemosensory/olfactory and visual related functions, we do understand and acknowledge the fact that this complex portion of the body expresses other genes involved in other vital physiological processes. Our work forms the basis for further investigation of the functional mechanisms underlying the chemosensory and visual systems in A. planipennis, while the chemosensory and opsin genes identified as being differentially expressed between newly emerged and sexually mature A. planipennis may serve as novel targets for the management of this destructive forest pest.

Data Availability Statement

Raw reads from sequencing are deposited in the Sequence Read Archive (SRA) database with NCBI accession SRR11309616- SRR11309628.

Author Contributions

SZ designed the experiments, analyzed the data, and drafted the manuscript. XiZ and XH supplied the insects. ZZ revised the manuscript. XK and FL helped with insect feeding. XuZ helped with the experimental techniques. SS and ZF performed the laboratory experiments and revised the manuscript. All authors contributed to the article and approved the submitted version.

Funding

This research was funded by the National Key Research and Development Program of China [grant number 2018YFC1200400]; the Fundamental Research Funds of CAF [grant number CAFYBB2018SZ006]; and the National Nature Science Foundation of China [grant number 31670657].

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Acknowledgments

We especially thank Xiaoyi Wang for assistance with insect collection. We acknowledge the reviewers for their support and help in revising the manuscript.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fgene.2020.604757/full#supplementary-material

Supplementary Figure 1. Length distribution of unigenes obtained in A. planipennis head (including antennae) transcriptome.

Supplementary Figure 2. Expression levels of GR genes between different sexes and stages.

Supplementary Figure 3. Expression levels of IR genes between different sexes and stages.

Supplementary Figure 4. Expression levels of SNMP genes between different sexes and stages.

Supplementary Figure 5. Validation of gene expression levels in A. planipennis with qPCR.

Supplementary Table 1. Accession numbers of chemosensory genes from other insects used for chemosensory gene identification in A. planipennis.

Supplementary Table 2. Accession numbers of opsins from other insects used for opsin gene identification in A. planipennis.

Supplementary Table 3. The expression levels and significance of differentially expressed genes (DEGs) in female A. planipennis.

Supplementary Table 4. The expression levels and significance of differentially expressed genes (DEGs) in male A. planipennis.

Supplementary Table 5. Primers used for validation of RNA-seq data by qPCR.

References

Anders, S., and Huber, W. (2010). Differential expression analysis for sequence count data. Genome Biol. 11:R106. doi: 10.1186/gb-2010-11-10-r106

CrossRef Full Text | Google Scholar

Andersson, M., Keeling, C., and Mitchell, R. (2019). Genomic content of chemosensory genes correlates with host range in wood-boring beetles (Dendroctonus ponderosae, Agrilus planipennis, and Anoplophora glabripennis). BMC Genomics 20:690. doi: 10.1186/s12864-019-6054-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Ashburner, M., Ball, C. A., Blake, J. A., Botstein, D., Butler, H., Cherry, J. M., et al. (2000). Gene ontology: tool for the unification of biology. Gene Ontol. Consortium. Nat. Genet. 25, 25–29. doi: 10.1038/75556

PubMed Abstract | CrossRef Full Text | Google Scholar

Benton, R., Sachse, S., Michnick, S. W., and Vosshall, L. B. (2006). Atypical membrane topology and heteromeric function of Drosophila odorant receptors in vivo. PLoS Biol. 4:e20. doi: 10.1371/journal.pbio.0040020

PubMed Abstract | CrossRef Full Text | Google Scholar

Benton, R., Vannice, K. S., Gomez-Diaz, C., and Vosshall, L. B. (2009). Variant ionotropic glutamate receptors as chemosensory receptors in Drosophila. Cell 136, 149–162. doi: 10.1016/j.cell.2008.12.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Bogdanova, E. A., Shagin, D. A., and Lukyanov, S. A. (2008). Normalization of full-length enriched cDNA. Mol. Biosyst. 4, 205–212. doi: 10.1039/b715110c

PubMed Abstract | CrossRef Full Text | Google Scholar

Briscoe, A. (2001). The evolution of color vision in insects. Ann. Rev. Entomol. 46:471. doi: 10.1146/annurev.ento.46.1.471

PubMed Abstract | CrossRef Full Text | Google Scholar

Cappaert, D., McCullough, D. G., Poland, T. M., and Siegert, N. W. (2005). Emerald ash borer in north America: a research and regulatory challenge. Am. Entomol. 51, 152–165. doi: 10.1093/ae/51.3.152

CrossRef Full Text | Google Scholar

Chen, C., Buhl, E., Xu, M., Croset, V., and Stanewsky, R. (2015). Drosophila ionotropic receptor 25a mediates circadian clock resetting by temperature. Nature 527, 516–520. doi: 10.1038/nature16148

PubMed Abstract | CrossRef Full Text | Google Scholar

Clyne, P. J., Warr, C. G., Freeman, M. R., Lessing, D., Kim, J., and Carlson, J. R. (1999). A novel family of divergent seven-transmembrane proteins: candidate odorant receptors in Drosophila. Neuron 22, 327–338. doi: 10.1016/S0896-6273(00)81093-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Conesa, A., Götz, S., García-Gómez, J. M., Terol, J., Talón, M., and Robles, M. (2005). Blast2GO: a universal tool for annotation, visualization and analysis in functional genomics research. Bioinformatics 21, 3674–3676. doi: 10.1093/bioinformatics/bti610

PubMed Abstract | CrossRef Full Text | Google Scholar

Crook, D. J., Ashot, K., Francese, J. A., Ivich, F., Poland, T. M., Sawyer, A. J., et al. (2008). Development of a host-based semiochemical lure for trapping emerald ash borer Agrilus planipennis (Coleoptera: Buprestidae). Environ. Entomol. 37, 356–365. doi: 10.1093/ee/37.2.356

PubMed Abstract | CrossRef Full Text | Google Scholar

Crook, D. J., Francese, J. A., Zylstra, K. E., Ivich, F., Sawyer, A. J., Bartels, D. W., et al. (2009). Laboratory and field response of the emerald ash borer (Coleoptera: Buprestidae), to selected regions of the electromagnetic spectrum. J. Econ. Entomol. 102, 2160–2169. doi: 10.1603/029.102.0620

PubMed Abstract | CrossRef Full Text | Google Scholar

Crook, D. J., and Mastro, V. C. (2010). Chemical ecology of the emerald ash borer Agrilus planipennis. J. Chem. Ecol. 36, 101–112. doi: 10.1007/s10886-009-9738-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Croset, V., Rytz, R., Cummins, S. F., Budd, A., Brawand, D., Kaessmann, H., et al. (2010). Ancient protostome origin of chemosensory ionotropic glutamate receptors and the evolution of insect taste and olfaction. PLoS Genet. 6:e1001064. doi: 10.1371/journal.pgen.1001064

PubMed Abstract | CrossRef Full Text | Google Scholar

Duan, J., Ladd, T., Doucet, D., Cusson, M., Kees, V., Mittapalli, O., et al. (2015). Transcriptome analysis of the emerald ash borer (EAB), Agrilus planipennis: de novo assembly, functional annotation and comparative analysis. PLoS ONE 10:e0134824. doi: 10.1371/journal.pone.0134824

PubMed Abstract | CrossRef Full Text | Google Scholar

Endler, J. A., and Mappes, J. (2004). Predator mixes and the conspicuousness of aposematic signals. Am. Nat. 163, 532–547. doi: 10.1086/382662

PubMed Abstract | CrossRef Full Text | Google Scholar

Engsontia, P., Sangket, U., Chotigeat, W., and Satasook, C. (2014). Molecular evolution of the odorant and gustatory receptor genes in lepidopteran insects: implications for their adaptation and speciation. J. Mol. Evol. 79, 21–39. doi: 10.1007/s00239-014-9633-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Enjin, A., Zaharieva, E. E., Frank, D. D., Mansourian, S., Suh, G. S. B., Gallio, M., et al. (2016). Humidity sensing in Drosophila. Curr. Biol. 26, 1352–1358. doi: 10.1016/j.cub.2016.03.049

PubMed Abstract | CrossRef Full Text | Google Scholar

Gartner, W., and Towner, P. (1995). Invertebrate visual pigments. Photochem. Photobiol. 62, 1–16. doi: 10.1111/j.1751-1097.1995.tb05231.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Götz, S., García-Gómez, J. M., Terol, J., Williams, T. D., Nagaraj, S. H., Nueda, M. J., et al. (2008). High-throughput functional annotation and data mining with the Blast2GO suite. Nucleic Acids Res. 36, 3420–3435. doi: 10.1093/nar/gkn176

PubMed Abstract | CrossRef Full Text | Google Scholar

Grabherr, M. G., Haas, B. J., Yassour, M., Levin, J. Z., Thompson, D. A., Amit, I., et al. (2011). Trinity: reconstructing a full-length transcriptome without a genome from RNA-Seq data. Nat. Biotechnol. 29, 644–652. doi: 10.1038/nbt.1883

PubMed Abstract | CrossRef Full Text | Google Scholar

Grant, G. G., Ryall, K. L., Lyons, D. B., and Abou-Zaid, M. M. (2010). Differential response of male and female emerald ash borers (Col., Buprestidae) to (Z)-3-hexenol and manuka oil. J. Appl. Entomol. 134, 26–33. doi: 10.1111/j.1439-0418.2009.01441.x

CrossRef Full Text | Google Scholar

Groot, P. D., Grant, G. G., Poland, T. M., Scharbach, R., Buchan, L., Nott, R. W., et al. (2008). Electrophysiological response and attraction of emerald ash borer to green leaf volatiles (GLVs) emitted by host foliage. J. Chem. Ecol. 34, 1170–1179. doi: 10.1007/s10886-008-9514-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Hallem, E. A., and Carlson, J. R. (2006). Coding of odors by a receptor repertoire. Cell 125, 143–160. doi: 10.1016/j.cell.2006.01.050

PubMed Abstract | CrossRef Full Text | Google Scholar

Jiggins, C. D., Naisbit, R. E., Coe, R. L., and Mallet, J. (2001). Reproductive isolation caused by colour pattern mimicry. Nature 411, 302–305. doi: 10.1038/35077075

PubMed Abstract | CrossRef Full Text | Google Scholar

Katoh, K., Kuma, K.-,i, Toh, H., and Miyata, T. (2005). MAFFT version 5: improvement in accuracy of multiple sequence alignment. Nucleic Acids Res. 33, 511–518. doi: 10.1093/nar/gki198

PubMed Abstract | CrossRef Full Text | Google Scholar

Kaupp, U. B. (2010). Olfactory signalling in vertebrates and insects: differences and commonalities. Nat. Rev. Neurosci. 11, 188–200. doi: 10.1038/nrn2789

PubMed Abstract | CrossRef Full Text | Google Scholar

Kelber, A. (1999). Ovipositing butterflies use a red receptor to see green. J. Exper. Biol. 202, 2619–2630.

PubMed Abstract | Google Scholar

Krieger, J., Grosse-Wilde, E., Gohl, T., Dewer, Y. M. E., Raming, K., and Breer, H. (2004). Genes encoding candidate pheromone receptors in a moth (Heliothis virescens). Proc. Natl. Acad. Sci. U.S.A. 101, 11845–11850. doi: 10.1073/pnas.0403052101

PubMed Abstract | CrossRef Full Text | Google Scholar

Kumar, S., Stecher, G., Li, M., Knyaz, C., and Tamura, K. (2018). MEGA X: Molecular evolutionary genetics analysis across computing platforms. Mol. Biol. Evol. 35, 1547–1549. doi: 10.1093/molbev/msy096

PubMed Abstract | CrossRef Full Text | Google Scholar

Kwon, J. Y., Dahanukar, A., Weiss, L. A., and Carlson, J. R. (2007). The molecular basis of CO2 reception in Drosophila. Proc. Natl. Acad. Sci. U.S.A. 104, 3574–3578. doi: 10.1073/pnas.0700079104

PubMed Abstract | CrossRef Full Text | Google Scholar

Le, S. Q., and Gascuel, O. (2008). An improved general amino acid replacement matrix. Mol. Biol. Evol. 25, 1307–1320. doi: 10.1093/molbev/msn067

PubMed Abstract | CrossRef Full Text | Google Scholar

Lelito, J. P., Fraser, I., Mastro, V. C., Tumlinson, J. H., Böröczky, K., and Baker, T. C. (2007). Visually mediated ‘Paratrooper Copulations' in the mating behavior of Agrilus planipennis (Coleoptera: Buprestidae), a highly destructive invasive pest of north American ash trees. J. Insect Behav. 20, 537–552. doi: 10.1007/s10905-007-9097-9

CrossRef Full Text | Google Scholar

Liu, H., Bauer, L., Gao, R., Zhao, T., Petrice, T., and Haack, R. (2003). Exploratory survey for the emerald ash borer, Agrilus planipennis (Coleoptera: Buprestidae), and its natural enemies in China. Great Lakes Entomologist. 36, 191–204.

Google Scholar

Lord, N. P., Plimpton, R. L., Sharkey, C. R., Suvorov, A., Lelito, J. P., Willardson, B. M., et al. (2016). A cure for the blues: opsin duplication and subfunctionalization for short-wavelength sensitivity in jewel beetles (Coleoptera: Buprestidae). BMC Evol. Biol. 16:107. doi: 10.1186/s12862-016-0674-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Mitchell, R. F., Schneider, T. M., Schwartz, A. M., Andersson, M. N., and McKenna, D. D. (2020). The diversity and evolution of odorant receptors in beetles (Coleoptera). Insect Mol. Biol. 29, 77–91. doi: 10.1111/imb.12611

PubMed Abstract | CrossRef Full Text | Google Scholar

Mittapalli, O., Bai, X., Mamidala, P., Rajarapu, S. P., Bonello, P., and Herms, D. A. (2010). Tissue specific transcriptomics of the exotic invasive insect pest emerald ash borer. PLoS ONE 5:e13708. doi: 10.1371/journal.pone.0013708

PubMed Abstract | CrossRef Full Text | Google Scholar

Pelosi, P., Zhou, J. J., Ban, L. P., and Calvello, M. (2006). Soluble proteins in insect chemical communication. Cell. Mol. Life Sci. 63, 1658–1676. doi: 10.1007/s00018-005-5607-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Pertea, G., Huang, X., Liang, F., Antonescu, V., Sultana, R., Karamycheva, S., et al. (2003). TIGR gene indices clustering tools (TGICL): a software system for fast clustering of large EST datasets. Bioinformatics 19, 651–652. doi: 10.1093/bioinformatics/btg034

PubMed Abstract | CrossRef Full Text | Google Scholar

Pohl, N., Sison-Mangus, M. P., Yee, E. N., Liswi, S. W., and Briscoe, A. D. (2009). Impact of duplicate gene copies on phylogenetic analysis and divergence time estimates in butterflies. BMC Evol. Biol. 9:99. doi: 10.1186/1471-2148-9-99

PubMed Abstract | CrossRef Full Text | Google Scholar

Poland, T. M., and McCullough, D. G. (2006). Emerald ash borer: invasion of the urban forest and the threat to North America's ash resource. J. Forestry. 104, 118–124.

Google Scholar

Praveen, M., Wijeratne, A. J., Wijeratne, S., Poland, T., Qazi, S. S., Doucet, D., et al. (2013). Identification of odor-processing genes in the emerald ash borer, Agrilus planipennis. PLoS ONE 8:e56555. doi: 10.1371/journal.pone.0056555

PubMed Abstract | CrossRef Full Text | Google Scholar

Pureswaran, D. S., and Therese, M. P. (2009). The role of olfactory cues in short-range mate finding by the emerald ash borer, Agrilus planipennis Fairmaire (Coleoptera: Buprestidae). J. Insect Behavior. 22, 205–216. doi: 10.1007/s10905-008-9166-8

CrossRef Full Text | Google Scholar

Robinson, M. D., McCarthy, D. J., and Smyth, G. K. (2010). edgeR: a bioconductor package for differential expression analysis of digital gene expression data. Bioinformatics 26, 139–140. doi: 10.1093/bioinformatics/btp616

PubMed Abstract | CrossRef Full Text | Google Scholar

Rodriguez-Saona, C., Poland, T. M., Miller, J. R., Stelinski, L. L., Grant, G. G., Groot, P., et al. (2006). Behavioral and electrophysiological responses of the emerald ash borer, Agrilus planipennis, to induced volatiles of Manchurian ash, Fraxinus mandshurica. Chemoecology 16, 75–86. doi: 10.1007/s00049-005-0329-1

CrossRef Full Text | Google Scholar

Rodriguez-Saona, C. R., Miller, J. R., Poland, T. M., Kuhn, T. M., and Otis, G. W. (2007). Behaviors of adult emerald ash borer, Agrilus planipennis (Coleoptera: Buprestidae). Great Lakes Entomol. 40, 1–16.

Google Scholar

Ryall, K. L., Silk, P. J., Mayo, P., Crook, D., Khrimian, A., Coss,é, A. A., et al. (2012). Attraction of Agrilus planipennis (Coleoptera: Buprestidae) to a volatile pheromone: effects of release rate, host volatile, and trap placement. Environ. Entomol. 41, 648–656. doi: 10.1603/EN11312

PubMed Abstract | CrossRef Full Text | Google Scholar

Sanchez-Gracia, A., Vieira, F. G., and Rozas, J. (2009). Molecular evolution of the major chemosensory gene families in insects. Heredity 103, 208–216. doi: 10.1038/hdy.2009.55

PubMed Abstract | CrossRef Full Text | Google Scholar

Shichida, Y., and Imai, H. (1998). Visual pigment: G-protein-coupled receptor for light signals. Cell. Mol. Life Sci. 54, 1299–1315. doi: 10.1007/s000180050256

PubMed Abstract | CrossRef Full Text | Google Scholar

Silk, P. J., Krista, R., Peter, M., Lemay, M. A., Gary, G., Damon, C., et al. (2011). Evidence for a volatile pheromone in Agrilus planipennis Fairmaire (Coleoptera: Buprestidae) that increases attraction to a host foliar volatile. Environ. Entomol. 40, 904–916. doi: 10.1603/EN11029

PubMed Abstract | CrossRef Full Text | Google Scholar

Smart, R., Kiely, A., Beale, M., Vargas, E., Carraher, C., Kralicek, A. V., et al. (2008). Drosophila odorant receptors are novel seven transmembrane domain proteins that can signal independently of heterotrimeric G proteins. Insect Biochem. Mol. Biol. 38, 770–780. doi: 10.1016/j.ibmb.2008.05.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Speiser, D. I., Pankey, M. S., Zaharoff, A. K., Battelle, B. A., Bracken-Grissom, H. D., Breinholt, J. W., et al. (2014). Using phylogenetically-informed annotation (PIA) to search for light-interacting genes in transcriptomes from non-model organism. BMC Bioinformatics 15:350. doi: 10.1186/s12859-014-0350-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Su, C. Y., Menuz, K., and Carlson, J. R. (2009). Olfactory perception: receptors,cells, and circuits. Cell 139, 45–59. doi: 10.1016/j.cell.2009.09.015

PubMed Abstract | CrossRef Full Text | Google Scholar

Terakita, A. (2005). The opsins. Genome Biol. 6, 213–213. doi: 10.1186/gb-2005-6-3-213

CrossRef Full Text | Google Scholar

Touhara, K., and Vosshall, L. B. (2009). Sensing odorants and pheromones with chemosensory receptors. Annu. Rev. Physiol. 71, 307–332. doi: 10.1146/annurev.physiol.010908.163209

PubMed Abstract | CrossRef Full Text | Google Scholar

Trapnell, C., Williams, B. A., Pertea, G., Mortazavi, A., Kwan, G., van Baren, M. J., et al. (2010). Transcript assembly and quantification by RNA-Seq reveals unannotated transcripts and isoform switching during cell differentiation. Nat. Biotech. 2, 511–515. doi: 10.1038/nbt.1621

PubMed Abstract | CrossRef Full Text | Google Scholar

Vogt, R. G. (2003). Biochemical diversity of odor detection: OBPs, ODEs and SNMPs. In: Blomquist G, Vogt R (eds), Insect Pheromone Biochemistry and Molecular Biology. San Diego, CA: Academic Press, pp. 391–446. doi: 10.1016/B978-012107151-6/50016-5

CrossRef Full Text | Google Scholar

Vogt, R. G., Miller, N. E., Litvack, R., Fandino, R. A., Sparks, J., Staples, J., et al. (2009). The insect SNMP gene family. Insect Biochem. Mol. Biol. 39, 448–456. doi: 10.1016/j.ibmb.2009.03.007

PubMed Abstract | CrossRef Full Text | Google Scholar

Vosshall, L. B., Amrein, H., Morozov, P. S., Rzhetsky, A., and Axel, R. (1999). A spatial map of olfactory receptor expression in the Drosophila antenna. Cell 96, 725–736. doi: 10.1016/S0092-8674(00)80582-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Vosshall, L. B., and Hansson, B. S. (2011). A unified nomenclature system for the insect olfactory coreceptor. Chem. Senses. 36, 497–498. doi: 10.1093/chemse/bjr022

PubMed Abstract | CrossRef Full Text | Google Scholar

Vosshall, L. B., and Stocker, R. F. (2007). Molecular architecture of smell and taste in Drosophila. Annu. Rev. Neurosci. 30, 505–533. doi: 10.1146/annurev.neuro.30.051606.094306

PubMed Abstract | CrossRef Full Text | Google Scholar

Wakakuwa, M., Kurasawa, M., Giurfa, M., and Arikawa, K. (2005). Spectral heterogeneity of honeybee ommatidia. Naturwissenschaften 92, 464–467. doi: 10.1007/s00114-005-0018-5

PubMed Abstract | CrossRef Full Text | Google Scholar

Wei, X., Reardon, D., Wu, Y., and Sun, J. H. (2004). Emerald ash borer, Agrilus planipennis Fairmaire (Coleoptera: Buprestidae), in China: a review and distribution survey. Acta Entomol. Sinica 47, 679–685. doi: 10.16380/j.kcxb.2004.05.021

CrossRef Full Text | Google Scholar

Zhang, S., Zhang, Z., Wang, H., and Kong, X. (2014). Antennal transcriptome analysis and comparison of olfactory genes in two sympatric defoliators, Dendrolimus houi and Dendrolimus kikuchii (Lepidoptera: Lasiocampidae). Insect Biochem. Mol. Biol. 52, 69–81. doi: 10.1016/j.ibmb.2014.06.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, S.-F., Liu, H.-H., Kong, X.-B., Wang, H.-B., Liu, F., and Zhang, Z. (2017). Identification and expression profiling of chemosensory genes in Dendrolimus punctatus Walker. Front. Physiol. 8:471. doi: 10.3389/fphys.2017.00471

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhao, C., Alvarez Gonzales, M. A., Poland, T. M., and Mittapalli, O. (2015a). Core RNAi machinery and gene knockdown in the emerald ash borer (Agrilus planipennis). J. Insect Physiol. 72, 70–78. doi: 10.1016/j.jinsphys.2014.12.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhao, C., Escalante, L. N., Chen, H., Benatti, T. R., Qu, J., Chellapilla, S., et al. (2015b). A massive expansion of effector genes underlies gall-formation in the wheat pest Mayetiola destructor. Curr. Biol. 25, 613–620. doi: 10.1016/j.cub.2014.12.057

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhulidov, P. A., Bogdanova, E. A., Shcheglov, A. S., Vagner, L. L., Khaspekov, G. L., Kozhemyako, V. B., et al. (2004). Simple cDNA normalization using kamchatka crab duplex-specific nuclease. Nucleic Acids Res. 32:e37. doi: 10.1093/nar/gnh031

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: chemosensory genes, expression levels, opsins, pest management, sexually mature stage

Citation: Shen S, Fan Z, Zhang X, Kong X, Liu F, Zhang Z, Zhang X, Hu X and Zhang S (2021) The Characteristics of Chemosensory and Opsin Genes in Newly Emerged and Sexually Mature Agrilus planipennis, an Important Quarantine Forest Beetle. Front. Genet. 11:604757. doi: 10.3389/fgene.2020.604757

Received: 01 October 2020; Accepted: 18 December 2020;
Published: 15 January 2021.

Edited by:

Annie Machordom, National Museum of Natural Sciences (MNCN), Spain

Reviewed by:

Therese Marie Poland, United States Forest Service (USDA), United States
Omprakash Mittapalli, University of Kentucky, United States

Copyright © 2021 Shen, Fan, Zhang, Kong, Liu, Zhang, Zhang, Hu and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Sufang Zhang, zhangsf@caf.ac.cn

These authors have contributed equally to this work

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