Skip to main content
PLOS One logoLink to PLOS One
. 2016 Oct 14;11(10):e0164729. doi: 10.1371/journal.pone.0164729

Analysis of the Antennal Transcriptome and Insights into Olfactory Genes in Hyphantria cunea (Drury)

Long-Wa Zhang 1,*,#, Ke Kang 1,#, Shi-Chang Jiang 1,#, Ya-Nan Zhang 2,*,#, Tian-Tian Wang 1, Jing Zhang 1, Long Sun 1, Yun-Qiu Yang 1, Chang-Chun Huang 3, Li-Ya Jiang 3, De-Gui Ding 3
Editor: Subhabrata Sanyal4
PMCID: PMC5065180  PMID: 27741298

Abstract

Hyphantria cunea (Drury) (Lepidoptera: Arctiidae) is an invasive insect pest which, in China, causes unprecedented damage and economic losses due to its extreme fecundity and wide host range, including forest and shade trees, and even crops. Compared to the better known lepidopteran species which use Type-I pheromones, little is known at the molecular level about the olfactory mechanisms of host location and mate choice in H. cunea, a species using Type-II lepidopteran pheromones. In the present study, the H. cunea antennal transcriptome was constructed by Illumina Hiseq 2500TM sequencing, with the aim of discovering olfaction-related genes. We obtained 64,020,776 clean reads, and 59,243 unigenes from the analysis of the transcriptome, and the putative gene functions were annotated using gene ontology (GO) annotation. We further identified 124 putative chemosensory unigenes based on homology searches and phylogenetic analysis, including 30 odorant binding proteins (OBPs), 17 chemosensory proteins (CSPs), 52 odorant receptors (ORs), 14 ionotropic receptors (IRs), nine gustatory receptors (GRs) and two sensory neuron membrane proteins (SNMPs). We also found many conserved motif patterns of OBPs and CSPs using a MEME system. Moreover, we systematically analyzed expression patterns of OBPs and CSPs based on reverse transcription PCR and quantitative real time PCR (RT-qPCR) with RNA extracted from different tissues and life stages of both sexes in H. cunea. The antennae-biased expression may provide a deeper further understanding of olfactory processing in H. cunea. The first ever identification of olfactory genes in H. cunea may provide new leads for control of this major pest.

Introduction

Olfaction plays a vital role in behaviors such as mating, foraging, and ovipositing for insects, especially Lepidoptera [1, 2]. Various odorants are sensed by insects using receptors on the antennae, and particularly, sensilla with a special hair-like structures [3]. The peripheral olfactory proteins involved in the reception of odorants in insects include odorant binding proteins (OBPs), chemosensory proteins (CSPs), odorant receptors (ORs), ionotropic receptors (IRs), gustatory receptors (GRs), and sensory neuron membrane proteins (SNMPs) [46]. In the periphery process of insect olfaction, firstly, external odorants enter into the chemosensilla and are captured by OBPs or CSPs, then the OBP or CSP bound odorants are transduction to ORs, triggering the transduction of chemical signals to electric signal [5, 7, 8]. GRs, IRs are another two receptors, which also participate in the chemreception. GRs are involved in contact chemoreception [9, 10]. IRs were more recently identified as a novel chemoreceptor family which evolved from ionotropic glutamate receptors (iGluRs) [6, 11, 12]. In addition, SNMPs are belong to the CD36 membrane proteins family that are located on dendrites and are crucial for pheromone recognition [11, 13].

The fall webworm, Hyphantria cunea (Drury) (Lepidoptera: Arctiidae), is a devastating invasive insect, which is widely distributed in North America, its region of origin [14]. Hyphantria cunea was first discovered in Dandong of Liaoning Province in China in 1979, and expanded its range rapidly to Hebei, Beijing, Shandong, Shaanxi, and Anhui provinces [1418]. To date, H. cunea has caused unprecedented economic losses in China due to its shift from univoltinism to multivoltinism and extremely broad host range, devastating damage to forests, fruit trees, and even agricultural crops [15]. The fall webworm has been listed as one of the most important forest quarantine pests nationwide in China.

Moth sex pheromones are usually comprised of several components in specific ratios, and divided into two types, Type-I and Type-II according to the chemical functional groups [19, 20]. The pheromones of H. cunea are of Type-II. Although some research has been done on species using Type-I pheromones, few studies have focused on species secreting Type-II pheromones, which includes H. cunea. As an invasive species, sensitivities to and binding effects of plant volatiles may increase selectivity and adaptability to host plants, which may enhance the invasive capability of H. cunea and lead to more severe damage [21]. Although wide-ranging studies on the olfactory molecular mechanisms and identification of chemosensory genes have been reported for a number of lepidopteran species [2228], this is not for H. cunea. Differentiation of sex pheromones in various moth species has occurred over many millennia, using diverse biosynthetic pathways involving different enzymes, substrates, and binding sites, resulting in the two major recognized pheromone types [29]. To date, little is known about the olfactory proteins repertoire species using Type-II pheromones. Did they evolve a novel receptors to perceive the Type-II sex pheromones, or were existing pheromone receptors were recruited for detection of the new ligands [29]? We assume that specific H. cunea pheromone-binding proteins (PBPs) are used binding its sex pheromone components. Thus, it is important to identify the olfactory genes in order to elucidate the molecular mechanisms of olfaction, and verify the existence of unique PBPs or other receptors in H. cunea. Chemical cues are also important for host location for parasitoid natural enemies of H. cunea. Among the many native natural enemies discovered to date [18, 30, 31], Chouioia cunea Yang (Hymenoptera: Eulophidae) was selected as a new biological control method against H. cunea [32, 33]. Because of the potential importance of C. cunea as an effective biocontrol agent against H. cunea and potential overlap in olfactory chemosensory ability, or "chemosphere", we compared our H. cunea OBPs and CSPs with previously published work on C. cunea in order to gain a better understanding of the possible olfactory mechanisms of an herbivore-natural enemy system.

In this study, we used the Illumina Hiseq 2500TM platform to sequence the antennal transcriptome of H. cunea. After analyzing the transcriptome data, we identified 124 olfaction-related genes in total, including 30 OBPs, 17 CSPs, 52 ORs, 14 IRs, 9 GRs, and two SNMPs. In addition, the predicted protein sequences were compared with orthologs from moth species by building phylogenetic trees, and motif patterns of OBPs and CSPs were also constructed. On the basis of analyzing the antennal transcriptome, gene functional annotation was also obtained. Furthermore, OBPs and CSPs expression patterns in different tissues and development stages were determined using reverse transcription PCR (RT-PCR) and quantitative real time PCR (RT-qPCR). Lastly, we constructed phylogenetic trees of OBPs and CSPs based on our H. cunea data and previous published work on C. cunea to access the potential overlap in olfactory chemosensory ability.

Materials and Methods

Insect rearing and antennae collection

Pupae of H. cunea were collected from straws bundled around host trees (Populus canadensis) at Sixian, Anhui Province, China, and were maintained in plastic tubes. Tubes were buried in wet sand to provide high humidity, and were held at 25°C. Forest Pest Control Station of Anhui Province issued the permit for the field collection (by the director, Jun Fu). To eliminate the differences in each individual, the antennae from 60 newly emerged unmated moths (40 males and 20 females) were dissected, flash frozen in liquid nitrogen, and stored at -80°C until RNA extraction.

RNA extraction and preparation of cDNA library

The stored antennae were ground and homogenized by vitreous Tissue-tearors (DEPC-water treated). Total RNA was extracted using TRIzol reagent (Invitrogen, USA) following the manufacturer’s instructions. RNA degradation and contamination was monitored on 1% agarose gels, and purity was checked using a NanoPhotometer® spectrophotometer (IMPLEN, CA, USA). Illumina sequencing of the samples was performed at Novogene Co., Ltd., Beijing, China. Sequencing libraries were generated using NEBNext® Ultra RNA Library Prep Kit for Illumina® (New England Biolabs, USA) following the manufacturer’s recommendations. Briefly, mRNA was purified from total RNA using poly-T oligo-attached magnetic beads. First strand cDNA was synthesized using random hexamer primers and M-MLV Reverse Transcriptase (RNaseH). Second strand cDNA synthesis was subsequently performed using DNA Polymerase I and RNase H. Then, DNA fragments were treated for end-repairing, adenylation of 3’ ends and ligation of adaptors. The library fragments were purified with AMPure XP system (Beckman Coulter, CA, USA) to preferentially select cDNA fragments of 150~200 bp in length. Then, suitable fragments were enriched by PCR amplification.

Transcriptome sequencing and assembly

The library preparations were sequenced on an Illumina HiseqTM 2500 platform and paired-end reads were generated. Clean reads were obtained by removing reads containing adapter, reads containing poly-N, and low quality reads from the raw reads. Transcriptome assembly was accomplished based on clean data with high quality using Trinity [34] to produce transcripts. Then the longest transcript of each single gene was selected as a unigene.

Gene functional annotation

Unigenes obtained from antennae of H. cunea were identified by BLAST searches with annotation against the Nr database using an e-value cut-off of 10−5. The unigene sequences were also aligned to protein databases such as Swiss-Prot, Pfam, KOG/COG and KO to find the highest similarity to the given unigenes along with putative functional annotations. Blast2GO v2.5 [35] was used to get GO annotation, and GO enrichment analysis of the differentially expressed genes was implemented by the GOseqR packages based on Wallenius non-central hyper-geometric distribution [36]. The open reading frame (ORF) of each gene was determined using an ORF finder tool (http://www.ncbi.nlm.nih.gov/gorf/gorf.html). The signal peptide of the protein sequences was predicted using SignalP 4.0 [37]. The transmembrane domains of ORs, GRs, IRs and SNMPs were predicted by using TMHMM Server v. 2.0 (http://www.cbs.dtu.dk/services/TMHMM/).

Phylogenetic analysis

Phylogenetic trees were built based on amino acid sequence alignment of the candidate OBPs, CSPs, ORs, GRs, IRs, and SNMPs from H. cunea and those of other insects species using ClustalX2.0 [38]. The OBP data set contained 30 identified sequences from H. cunea, 12 from Agrotis ipsilon, 43 from Bombyx mori, five from Danaus plexippus, 20 from H. armigera, 13 from Helicoverpa assulta, 14 from Manduca sexta, 24 from Spodoptera exigua, 20 from Sesamia inferens, and 38 from Spodoptera litura. The CSP data set contained 17 sequences from H. cunea, eight from A. ipsilon, 16 from B. mori, 10 from H. armigera, 17 from S. exigua, and 20 from S. inferens. The OR data set contained 52 sequences from H. cunea, 62 from B. mori, 11 from H. armigera, 35 from S. inferens, one from Operophtera brumata, and one from Agrotis segetum. The GR data set contained nine sequences from H. cunea, one from A. ipsilon, 29 from B. mori, three from D. plexippus, three from H. armigera, 18 from H. assulta, one from M. sexta, and six from S. exigua. The IR data set contained 14sequences from H. cunea, 10 from B. mori, 14 from Cydia pomonella, 10 from Dendrolimus houi, 9 from Dendrolimus kikuchii, 18 from Dorsophila melanogaster, and two from S. inferens. The SNMP data set contained two sequences from H. cunea, two from A. ipsilon, one from B. mori, two from H. armigera, one from H. assulta, two from H. virescens, two from M. sexta, three from S. exigua, two from S. inferens, and three from S. litura. Unrooted phylogenetic trees were constructed by the neighbor-joining method with Poisson correction of genetic distances in MEGA5.0 [39] software. Node support was generated from 1,000 bootstrap pseudo replications of the data.

Motif analysis of OBPs and CSPs

In order to find the potential conversed motif, we compared the motifs-pattern of OBPs and CSPs in different families of Lepidoptera. A total of 76 OBPs and 43 CSPs from H. cunea, B. mori, and H. armigera were used for motif discovery and pattern analysis. All the OBP and CSP sequences used in this study were translated to amino acid sequences. The MEME (version 4.11.1) online software (http://meme-suite.org/tools/meme), which has been widely used for discovery of protein motifs [7, 4042], was used to discover and analyze the motifs in this analysis. The parameter settings used for motif discovery were as follows: minimum width = 6, maximum width = 10, and the maximum number of motifs = 8.

Tissue expression analysis of OBPs and CSPs

The expression patterns of OBPs and CSPs in different tissues (antennae, thoraces, abdomens, legs, wings) and life stages (pupae of both sexes and larvae) were analyzed by RT-PCR. Fifty male and female antennae, 10 whole insect body without antennae, thoraces, abdomens, legs, wings, and 10 pupae of both sexes and 10 larvae were collected, and frozen in liquid nitrogen for RT-PCR. Total RNA from different tissues was extracted as described above, including three replications of samples. PrimeScript® RT reagent Kit with gDNA Eraser (Perfect Real Time, Takara, Dalian, China) was used for reverse transcription in order to remove residual trace amounts of genomic DNA. The cDNA (20 ng) was used as a template in RT-PCR. Primers were designed with the Primer Premier5 software (PREMIER Biosoft International, CA, USA). EF1-aH. cunea voucher W72 elongation factor 1 alpha gene–was used as a reference gene. The cDNA template was replaced by RNase-free water in the negative control. PCR reaction was carried out under the conditions of 94°C for 30s, 52°C for 30s, 72°C for 15s using 2xEs Taq Master Mix (CWBIO, Beijing, China) in 30 cycles. PCR products were run on a 1% agarose gel.

The expression patterns of OBPs and CSPs in different tissues (male antennae, female antennae, legs, wings) and life stages (pupae of both sexes and larvae) were analyzed by RT-qPCR. Twenty male and female antennae, 20 legs, 20 wings, and 10 pupae of both sexes and 10 larvae were collected, and frozen in liquid nitrogen for RT-qPCR. cDNAs from antennae and other tissues were synthesized as described above. The equal amount of cDNA (2.5 ng) was used as a template in RT-qPCR. Primers were designed with the Beacon Designer 7.9 software (PREMIER Biosoft International, CA, USA). HyphEF1-a (elongation factor 1 alpha gene) and HyphGAPDH were used as the reference genes. The cDNA template was replaced by RNase-free water in the negative control. The RT-qPCR was performed on a CFX96 Detection System (Bio-rad, Hercules, CA, USA) using a mixture of 25μL reaction: 12.5μLSYBR® Premix Ex Taq II (Tli RNaseH Plus) (Takara, Dalian, China), 1μL of each primer (10μM), 2.0μL of template cDNA, and 8.5μL of sterilized ultrapure H2O. The RT-qPCR reaction was carried out under the conditions of 95°C for 30s, followed by 40 cycles of 95°C for 5s and 60°C for 30s, then the melting curve was measured. Each sample included three biological replications which measured in three technique replications. The RT-qPCR results were analyzed using the CFX96 analysis software, and the expression levels of above genes were calculated relative to two reference genes using the Q-gene method [43, 44]. Data of relative expression levels from various samples were subjected to ANOVA (one-way analysis of variance), followed by Duncan's new multiple range test using the SPSS 22.0 software (SPSS Inc., Chicago, IL, USA).

Results

Unigene assembly and transcriptome sequencing

A total of 65,177,438 raw reads were obtained from an Illumina Hiseq 2500 platform (Table 1). After removing adaptors and low quality reads, 64,020,776 clean reads were acquired with a Q20 percentage of 96.03%, which were assembled into 78,131 transcripts with a mean length of 1123 bp and an N50 length of 2520 bp. 59,243 unigenes were selected from the above transcripts with a mean length of 829 bp and an N50 length of 1803 bp. 35,976 unigenes were longer than 300 bp which accounted for 60.73% of all unigenes (S1 Fig).

Table 1. Summary of the antennal transcriptome of H. cunea.

Statistics Project Number
Total raw reads 65177438
Total clean reads 64020776
Clean bases 8G
Q20 percentage 96.03%
Q30 percentage 92.28%
GC percentage 41.23%
Transcripts 78131
Mean length of transcripts 1123
N50 of transcripts 2520
Unigenes 59243
Mean length of unigenes 829
N50 of unigenes 1803

Homology analysis and gene functional annotation

The functional annotation of unigenes was performed by a BLAST homology search against the protein databases. 15,242 (25.72%) unigenes were annotated in the Nr database. As a result, 91.30% of annotated unigenes had more than 60% similarity with known proteins (S2A Fig). The e-value distribution showed that 64.90% of the annotated unigenes had strong homology (e-value < 1e-45), whereas 13.90% of the unigenes had low homology (1e-15<e-value<1e-5) (S2B Fig). The species classification showed that the best match was B. mori, representing 48.10%, followed by D. plexippus (29.50%), Papilio xuthus (2%), and H. armigera (1.7%) (S2C Fig). The high similarity between H. cunea and B. mori maybe due to the genome of B. mori having been reported [45, 46] with numerous proteins in the NCBI protein database used for homology analyzing.

GO annotation was obtained using the program Blast2GO against the Nr database. A total of 12,565 unigenes were assigned to three main GO classes among all 59,243 unigenes. Specifically: these included genes for biological processes (34,685), cellular components (22,506), and molecular function (15,726) (S3 Fig). In the molecular function category, binding (7,161) and catalytic activity (5,275) were two major terms of antennal gene expression. In the biological processes, cellular processes (7,295), metabolic processes (6,606), and single-organism processes (5,716) were the most abundant. Cell (4,446) and cell parts (4,446) were enriched in the same level of cellular component, followed by organelle (2946), macromolecular complex (2661) and membrane (2523).

After a total of 5,781 unigenes were annotated in the KO database, we acquired a KEGG pathway classification for the H. cunea antennal transcriptome. Five subcategories of KEGG pathway were as follows: cellular processes (A), environmental information processing (B), genetic information processing (C), metabolism (D), and organisimal systems (E) (S4 Fig). Signal transduction (698) was the highest term in the environmental information processing subcategory, which indicated the strong association with odorant binding and transduction of the antennal tissue. In addition, genes associated with biodegradation and metabolism of xenobiotics (130) were identified; these are likely involved in odorant degradation in olfactory processes.

Identification of putative odorant-binding proteins

Analysis of the H. cunea antennal transcriptome identified 30 putative OBPs, including 3 PBPs (Table 2). The signal peptide prediction showed that 26 unigenes had a complete ORF (Table 3). Most OBPs had a low similarity to known lepidopteran OBPs, possibly due to the relatively low conservation among different families. OBPs can be generally divided into different subclasses according to the number of conserved cysteines, including Classic OBPs, Plus-C OBPs and Minus-C OBPs [47]. We identified 15 classic OBPs using multiple amino acid sequence alignments, which were matched up with the six-cysteines pattern C1-X25-30-C2-X3-C3-X36-42-C4-X8-14-C5-X8-C6 (where X stands for any amino acid) proposed by Xu et al. [7] (S5 Fig). A phylogenetic tree was constructed based on the neighbor-joining method (Fig 1). HyphOBP1, 6, and 23 clustered with the Plus-C subfamily, whereas the Minus-C subfamily contained HyphOBP5 and 19. General OBPs clustered together with PBPs, including HyphPBP1, 2, and 3, which all belong to the classic OBPs.

Table 2. Summary of candidate genes from the antennal transcriptome of H. cunea.

Candidate genes Number
Odorant binding proteins 30
Odorant receptors 52
Chemosensory proteins 17
Gustatory receptors 9
Ionotropic receptors 14
Sensory neuron membrane proteins 2

Table 3. Blastx matches of H. cunea putative OBP genes.

Gene Name ORF Length (bp) Complete ORF Signal Peptide FPKM value Best Blastx Match
Species Acc.number e-value Identity (%)
OBP1 458 NO 1–18 1.32 Spodoptera litura ALD65890.1 2e-08 28
OBP2 441 YES 1–20 39148.54 Helicoverpa armigera AEB54581.1 2e-49 58
OBP3 391 NO 1–23 1.95 Spodoptera litura AKI87966.1 4e-17 36
OBP4 438 YES 1–17 10.3 Sesamia inferens AGS36745.1 8e-60 79
OBP5 507 YES 1–29 2.25 Helicoverpa assulta AGC92792.1 6e-14 34
OBP6 504 YES 1–16 82.37 Spodoptera litura ALD65890.1 1e-24 35
OBP7 420 YES 1–25 1521.66 Spodoptera litura AKI87964.1 4e-60 84
OBP8 438 YES 1–24 1175.52 Cnaphalocrocis medinalis AFG72998.1 9e-74 79
OBP9 462 YES 1–21 2.13 Helicoverpa armigera AEB54581.1 4e-43 52
OBP10 426 YES 1–18 5457.53 Sesamia inferens AGS36756.1 2e-59 89
OBP11 291 YES 0 4.14 Sesamia inferens AGS36748.1 7e-29 46
OBP12 684 YES 1–19 355.49 Spodoptera litura AKI87962.1 4e-56 69
OBP13 429 YES 1–21 51.43 Helicoverpa assulta AEX07275.1 1e-60 78
OBP14 453 YES 1–25 44.62 Spodoptera exigua ADY17883.1 7e-16 37
OBP15 489 YES 1–19 3438.76 Sesamia inferens AGS36751.1 2e-52 61
OBP16 459 YES 1–20 15.6 Spodoptera exigua AGP03460.1 4e-44 52
OBP17 591 YES 1–21 35.88 Spodoptera litura ALD65883.1 2e-70 81
OBP18 447 YES 1–18 7.53 Spodoptera exigua AGP03460.1 1e-36 47
OBP19 414 YES 1–16 32.43 Helicoverpa armigera AFI57167.1 7e-43 64
OBP20 399 YES 1–20 11.89 Helicoverpa armigera AEB54582.1 2e-05 29
OBP21 552 YES 1–20 9.66 Dendrolimus houi AII00978.1 1e-113 91
OBP22 450 YES 1–22 21.58 Helicoverpa assulta AEX07270.1 8e-34 45
OBP23 564 YES 1–17 6.18 Agrotis ipsilon AGR39564.1 2e-50 51
OBP24 447 YES 1–19 70.21 Sesamia inferens AGS36750.1 1e-42 68
OBP25 462 YES 1–23 13.91 Spodoptera exigua AGP03457.1 1e-69 66
OBP26 357 NO 1–21 0.84 Helicoverpa assulta AEX07271.1 4e-35 50
OBP27 520 NO 1–13 0.97 Sesamia inferens AGS36748.1 2e-33 47
PBP1 492 YES 1–19 15890.73 Helicoverpa armigera AEB54585.1 1e-77 70
PBP2 507 YES 1–24 5157.22 Manduca sexta AAF16711.1 7e-70 63
PBP3 525 YES 0 1140.45 Spodoptera exigua ACY78413.1 5e-68 66

Fig 1. Phylogenetic tree of putative odorant binding protein (OBP) genes from H. cunea and other lepidopteran insects.

Fig 1

The tree was constructed with MEGA5.0, which was based on amino acid sequence alignments by using the ClustalX2.0. Aips: A. ipsilon; Bmor: B. mori; Dple: D. plexippus; Harm: H. armigera; Hass: H. assulta; Msex: M. sexta; Sexi: S. exigua; Sinf: S. inferens; Slit: S. litura.

Identification of putative chemosensory proteins

Seventeen putative CSPs were identified in the H. cunea antennal transcriptome (Table 2), verified by the four-cysteines pattern C1-X6-C2-X18-C3-X2-C4 (S6 Fig). Among these sequences, 16 had a complete ORF with a predicted signal peptide. Almost 90% of the CSPs (15) had more than 70% similarity with other species’ CSPs, much higher than the sequence similarities of the OBPs (26.7%) (Table 4). This indicated that the CSPs are more highly conserved than OBPs. The CSPs were scattered in different branches of the phylogenetic tree, except HyphCSP6 and HyphCSP7, which clustered in the same subfield (Fig 2).

Table 4. Blastx matches of H. cunea putative CSP genes.

Gene Name ORF Length (bp) Complete ORF Signal Peptide FPKM value Best Blastx Match
Species Acc.number e-value Identity (%)
CSP1 324 YES 1–17 1.8 Sesamia inferens AGY49260.1 2e-36 85
CSP2 324 YES 1–18 26.13 Agrotis ipsilon AGR39575.1 1e-61 90
CSP3 369 YES 1–16 4.17 Helicoverpa armigera AFR92094.1 9e-70 83
CSP4 372 YES 1–19 1.31 Sesamia inferens AGY49258.1 1e-44 94
CSP5 384 YES 1–18 49.16 Heliothis virescens AAV34686.1 1e-51 79
CSP6 381 YES 1–18 290.29 Sesamia inferens AGY49267.1 2e-60 74
CSP7 378 YES 1–18 4.49 Heliothis virescens AAV34686.1 1e-51 79
CSP8 378 YES 1–18 5.2 Spodoptera exigua ABM67689.1 2e-58 74
CSP9 378 YES 1–16 1121.78 Helicoverpa armigera AGH20053.1 8e-51 74
CSP10 387 YES 1–18 28681.98 Spodoptera exigua ABM67689.1 9e-59 73
CSP11 408 YES 0 638.97 Helicoverpa armigera AGH20055.1 7e-60 86
CSP12 384 YES 1–16 2360.09 Helicoverpa assulta ABB91378.1 3e-63 83
CSP13 372 YES 1–16 3.02 Agrotis ipsilon AGR39572.1 4e-57 72
CSP14 387 YES 1–18 10.7 Helicoverpa armigera AFR92095.1 5e-47 58
CSP15 372 YES 1–18 342.15 Sesamia inferens AGY49271.1 3e-50 71
CSP16 870 YES 1–16 92.91 Helicoverpa armigera AIW65104.1 2e-102 70
CSP17 331 NO 1–18 7.33 Spodoptera exigua AKT26481.1 9e-42 63

Fig 2. Phylogenetic tree of putative chemosensory protein (CSP) genes from H. cunea and other lepidopteran insects.

Fig 2

Aips: A. ipsilon; Bmor: B. mori; Harm: H. armigera; Sexi: S. exigua; Sinf: S. inferens.

Identification of putative odorant receptors and gustatory receptors

We identified 52 putative ORs by analyzing the antennal transcriptome (Table 2). The TMHMM prediction showed that five unigenes (HyphOR9, 12, 21, 27 and 34) had seven-transmembrane domains, and 42 sequences had a full-length ORF (Table 5). Fifty-two sequences showing multiple amino acid alignment with ORs from B. mori, H. armigera, S. inferens, O. brumata, and A. segetum were used to construct a phylogenetic tree (Fig 3). HyphOR27 clustered with the lepidopteran ORco (olfactory receptor coreceptor) family and had a high degree of similarity with these ORs. The lepidopteran PR family was also detected, and HyphOR1, 7, 50 belonged to this family. In addition, HyphOR50 was clustered with ObruOR1 and AsegOR3, which had a high orthology.

Table 5. Blastx matches of H. cunea putative OR genes.

Gene Name ORF Length (bp) Complete ORF Transmembrane Domain FPKM value Best Blastx Match
Species Acc.number e-value Identity (%)
OR1 636 YES 0 2.88 Helicoverpa armigera AIG51897.1 2e-78 55
OR2 339 YES 1 1.39 Dendrolimus houi AII01061.1 3e-13 71
OR3 1131 YES 5 1.75 Bombyx mori NP_001091791.1 1e-17 42
OR4 891 YES 5 2.95 Helicoverpa armigera AGK89999.1 1e-129 61
OR5 1215 YES 6 78.14 Planotortrix octo AJF23783.1 2e-131 49
OR6 1191 YES 5 67.38 Ctenopseustis herana AIT69871.1 1e-125 50
OR7 720 YES 3 1.14 Helicoverpa assulta AGK90014.1 1e-84 59
OR8 450 YES 1 5.66 Helicoverpa armigera AIZ00995.1 8e-137 59
OR9 1161 YES 7 7.86 Dendrolimus kikuchii AII01102.1 5e-166 64
OR10 1158 YES 5 4.94 Dendrolimus kikuchii AII01102.1 9e-127 56
OR11 1209 YES 5 5.1 Helicoverpa armigera AIG51887.1 0.0 81
OR12 1203 YES 7 4.33 Bombyx mori NP_001166613.1 8e-165 64
OR13 1272 YES 4 6.47 Danaus plexippus EHJ75140.1 4e-53 56
OR14 609 YES 2 3.76 Helicoverpa armigera AIG51888.1 2e-97 77
OR15 1098 YES 5 12.12 Dendrolimus kikuchii AII01090.1 3e-132 58
OR16 1197 YES 3 4.51 Helicoverpa assulta ADN03364.1 0.0 73
OR17 648 YES 2 23.2 Dendrolimus kikuchii AII01083.1 8e-66 46
OR18 1242 YES 6 6.03 Helicoverpa armigera AIG51898.1 0.0 64
OR19 915 YES 5 21.05 Helicoverpa armigera AIG51873.1 1e-118 66
OR20 1347 YES 4 6.2 Spodoptera litura AGG08878.1 6e-161 57
OR21 1242 YES 7 12.81 Spodoptera exigua AEF32141.1 0.0 70
OR22 1161 YES 8 6.14 Dendrolimus kikuchii AII01092.1 7e-137 59
OR23 281 NO 0 1.54 Bombyx mori BAH66328.1 3e-16 64
OR24 1164 YES 6 10.5 Bombyx mori NP_001104832.2 2e-146 54
OR25 604 NO 4 10.39 Helicoverpa armigera AIG51890.1 6e-55 45
OR26 636 YES 0 11.8 Helicoverpa assulta AJD81578.1 1e-90 63
OR27 1422 YES 7 489.83 Heliothis viriplaca AFI25169.1 0.0 93
OR28 1191 YES 6 4.42 Dendrolimus houi AII01045.1 7e-113 48
OR29 957 YES 4 11.96 Dendrolimus houi AII01055.1 2e-58 51
OR30 1152 YES 6 4.95 Bombyx mori NP_001091789.1 5e-117 53
OR31 1101 YES 4 21.41 Dendrolimus kikuchii AII01083.1 6e-163 61
OR32 1359 YES 6 82.39 Helicoverpa armigera AIG51892.1 0.0 72
OR33 609 YES 3 2.35 Agrotis segetum AGS41446.1 7e-20 32
OR34 1011 YES 7 7 Helicoverpa armigera AIG51889.1 1e-144 72
OR35 1188 YES 5 28.8 Helicoverpa armigera AIG51879.1 0.0 75
OR36 1080 YES 4 11.88 Spodoptera litura AGG08876.1 3e-140 65
OR37 1251 YES 4 3.49 Ostrinia furnacalis BAR43458.1 8e-165 62
OR38 1020 YES 4 7.58 Helicoverpa assulta AGK90020.1 9e-130 65
OR39 1455 YES 0 7.17 Ostrinia furnacalis BAR43469.1 0.0 76
OR40 505 NO 1 1.89 Ostrinia furnacalis BAR43481.1 3e-26 37
OR41 284 NO 0 1.08 Danaus plexippus EHJ78030.1 3e-50 82
OR42 294 YES 1 1.41 Bombyx mori NP_001166607.1 1e-50 83
OR43 330 NO 2 1.73 Helicoverpa armigera ACF32962.1 2e-62 87
OR44 435 NO 1 0.86 Helicoverpa assulta AGK90015.1 2e-61 77
OR45 1215 YES 6 2.23 Ostrinia furnacalis BAR43494.1 4e-140 50
OR46 343 NO 0 1.62 Danaus plexippus EHJ78030.1 2e-47 65
OR47 396 NO 1 0.84 Spodoptera litura AGG08877.1 7e-69 79
OR48 318 YES 1 1.02 Helicoverpa assulta AGK90015.1 9e-61 72
OR49 477 YES 3 1.3 Bombyx mori XP_012545317.1 1e-52 53
OR50 1392 YES 5 390.73 Spodoptera exigua AGH58120.1 2e-177 62
OR51 669 NO 4 1 Helicoverpa armigera ACC63240.1 1e-85 55
OR52 708 NO 4 2.23 Helicoverpa armigera AIG51888.1 1e-129 81

Fig 3. Phylogenetic tree of putative odorant receptor (OR) genes from H. cunea and other lepidopteran insects.

Fig 3

Bmor: B. mori; Harm: H. armigera; Sinf: S. inferens; Obru: O. brumata; Aseg: A. segetum.

Nine putative GRs were discovered and four of them had a complete ORF (HyphGR1, 2, 3, 7) (Tables 2 and 6). The prediction showed that HyphGR7 had none transmembrane domain (Table 6). The phylogenetic tree of the GRs showed that HyphGR1 and HyphGR7 clustered into the same branch, and HyphGR3 had a complete similarity (100%) with HassGR1 and HarmGR1 (Fig 4).

Table 6. Blastx matches of H. cunea putative GR and IR genes.

Gene Name ORF Length (bp) Complete ORF Transmembrane Domain FPKM value Best Blastx Match
Species Acc.number e-value Identity (%)
GR1 522 YES 2 1.31 Helicoverpa assulta AJD81608.1 5e-32 49
GR2 1131 YES 5 1.75 Bombyx mori BAS18817.1 2e-17 39
GR3 1335 YES 8 1.65 Helicoverpa armigera AIG51912.1 5e-135 74
GR4 474 NO 2 0.72 Helicoverpa armigera AGA04648.1 5e-68 81
GR5 395 NO 3 1.02 Helicoverpa armigera AGK90011.1 1e-46 78
GR6 330 NO 2 1.73 Helicoverpa armigera AGA04648.1 5e-62 87
GR7 294 YES 0 5.15 Bombyx mori DAA06394.1 6e-04 36
GR8 243 NO 1 2 Helicoverpa assulta AJD81596.1 2e-24 90
GR9 777 NO 5 1.17 Helicoverpa assulta AJD81606.1 4e-17 38
IR1 475 NO 0 2.97 Spodoptera littoralis ADR64681.1 5e-31 55
IR2 636 NO 3 1.5 Helicoverpa armigera AIG51919.1 4e-81 68
IR3 459 YES 1 1.59 Helicoverpa armigera AIG51922.1 8e-96 82
IR4 1395 YES 3 3.78 Spodoptera littoralis ADR64681.1 0.0 74
IR5 1908 YES 3 5.65 Spodoptera littoralis ADR64688.1 0.0 59
IR6 1908 YES 3 3.08 Spodoptera littoralis ADR64689.1 0.0 79
IR7 1803 YES 3 14.06 Spodoptera littoralis ADR64681.1 0.0 65
IR8 1671 YES 2 6.43 Spodoptera littoralis ADR64678.1 0.0 78
IR9 1263 YES 3 22.04 Sesamia inferens AGY49253.1 0.0 75
IR10 366 NO 0 1.29 Helicoverpa armigera AIG51919.1 4e-56 72
IR11 1875 YES 3 4.75 Spodoptera littoralis ADR64684.1 0.0 81
IR12 2763 YES 3 85.38 Helicoverpa assulta AJD81628.1 0.0 93
IR13 1860 YES 5 46.6 Spodoptera littoralis ADR64683.1 0.0 64
IR14 2697 YES 4 49 Cydia pomonella AFC91764.1 0.0 78

Fig 4. Phylogenetic tree of putative gustatory receptor (GR) genes from H. cunea and other lepidopteran insects.

Fig 4

Aips: A. ipsilon; Bmor: B. mori; Dple: D. plexippus; Harm: H. armigera; Hass: H. assulta; Msex: M. sexta; Sexi: S. exigua.

Identification of putative ionotropic receptors

Transcriptome assembly and analysis led to the identification of 14putative IRs (Table 2). 11 of the 14 sequences had a complete ORF, with HyphIR1, 2 and10 being the exceptions (Table 6). And two IRs (HyphIR1 and 10) had none transmembrane domain (Table 6). In the IR phylogenetic tree, 14 IR sequences were distributed in differential subclades. HyphIR4 and HyphIR7 may belong to the IR41a clade and had 100% orthology with each other. HyphIR9 clustered with the IR76b sequences from other insects, and showed homology with SinfIR76b, which may be characterized as HyphIR76b. The same situation occurred with HyphIR8 and HyphIR11, which could be identified as a member of the IR21a and IR75p subgroup, respectively. In addition, HyphIR14 was found in the high conserved IR8a subfamily, while HyphIR12 was a member of IR25a subclade (Fig 5).

Fig 5. Phylogenetic tree of putative ionotropic receptor (IR) genes from H.cunea and other lepidopteran insects.

Fig 5

Bmor: B. mori; Cpom: C. pomonella; Dhou: D. houi; Dkik: D. kikuchii; Dmel: D. melanogaster; Sinf: S. inferens.

Identification of putative sensory neuron membrane proteins

Two SNMPs (SNMP1 and SNMP2) were detected from our transcriptome (Table 2). SNMP2 was presumed to have a full-length ORF (Table 7). In the phylogenetic tree, HyphSNMP1 clustered with SinfSNMP1 belonging to the SNMP1 family. HyphSNMP2 formed a unique branch in the SNMP2 family (Fig 6).

Table 7. Blastx matches of H. cunea putative SNMP genes.

Gene Name ORF Length (bp) Complete ORF Transmembrane Domain FPKM value Best Blastx Match
Species Acc.number e-value Identity (%)
SNMP1 257 NO 0 1.38 Bombyx mori XP_012550444.1 1e-25 52
SNMP2 1578 YES 2 254.74 Heliothis virescens Q9U1G3.1 0.0 76

Fig 6. Phylogenetic tree of putative sensory neuron membrane protein (SNMP) genes from H. cunea and other lepidopteran insects.

Fig 6

Aips: A. ipsilon; Bmor: B. mori; Harm: H. armigera; Hass: H. assulta; Hvir: H. virescens; Msex: M. sexta; Sexi: S. exigua; Sinf: S. inferens; Slit: S. litura.

Motif pattern analysis of H. cunea OBPs and CSPs

The purpose of conserved motifs analyses are an important step to better understand the functional domains and the conserved motifs in OBPs and CSPs from H. cunea, B. mori, and H. armigera. The MEME server was used to help us compare motif patterns of OBP and CSP proteins in distinct lepidopteran families. As a result, eight motifs for both OBPs and CSPs were obtained, 27 different motif patterns of 76 OBPs and 25 motif patterns of 43 CSPs. We listed 11 relatively common motif patterns, including 54 OBPs (Fig 7). The most common motif pattern with 14 homologous OBPs (BmorOBP7/8/11/12, HarmOBP1/3/4/6/7, HyphOBP2/18/22/24/25) had a motif order of 4-1-5-3-2; motif 5 and motif 1 were constructed from two motif patterns singly which had seven homologous OBPs (BmorOBP22/28/30, HarmOBP11/18, HyphOBP6/20) and six homologous OBPs (BmorOBP5/13/35/36/39, HyphOBP21), respectively. Interestingly, PBP1 of H. cunea and H. armigera had the same motif pattern with the motif order as 6–7; PBP2 of H. cunea and H. armigera also had the same motif pattern characterized by motif 2 at the C-terminal with the motif order as 6-7-2, and the motif 6, 7 were only found in the PBPs and located at the same position as the central part.

Fig 7. Motif analysis of OBPs in H. cunea.

Fig 7

The upper parts listed the eight motifs discovered in 76 OBPs. The lower parts indicate approximate locations of each motif on the protein sequence. The numbers in the colored boxes correspond to the numbered motifs in the upper part of the figure. The small number represents high conservation. The numbers on the bottom show the approximate locations of each motif on the protein sequence, starting from the N-terminal. This figure just listed 11 relatively common motif patterns including 54 OBPs.

We also list 11 common motif patterns containing 30 CSPs in Fig 8. The motif pattern 8-2-6-3-5-7-1-4 was the only one which had five homologous CSPs (BmorCSP10/12, HarmCSP2, and HyphCSP5/7) from all three species and also the most common pattern. Motif 8 existed in 28 out of 30 CSPs at the N-terminal, with the exception of HarmCSP3/6, and motif 1, 3, which also existed as 28 CSPs with the exception of BmorCSP16 and HyphCSP2 that both located at the central part. In addition, motif 1, 2, 3, 7 existed at different positions infrequently.

Fig 8. Motif analysis of CSPs in H. cunea.

Fig 8

The upper parts listed the eight motifs discovered in 43 CSPs. The lower parts indicate approximate locations of each motif on the protein sequence. The numbers in the colored boxes correspond to the numbered motifs in the upper part of the figure. The small number represents high conservation. The numbers on the bottom show the approximate locations of each motif on the protein sequence, starting from the N-terminal. This figure just listed 11 relatively common motif patterns including 30 CSPs.

Tissue expression analysis of OBPs and CSPs

We analyzed the expression patterns of OBPs and CSPs in different tissues and life stages of H. cunea using RT-PCR (Figs 9 and 10). The results indicated that 16 OBPs of H. cunea (HyphOBP6-8, HyphOBP10, HyphOBP12-16, HyphOBP20, HyphOBP22, HyphOBP24-25, and HyphPBP1-3) were uniquely or primarily expressed in the female and male antennae. Three OBPs–HyphOBP2, HyphOBP19, and HyphOBP23 –were expressed not only in the antennae but also in other tissues like the thoraces, abdomens, legs, and wings, and also in pupae and larvae (Fig 9). As for the CSP genes, 12 CSPs (HyphCSP1-2, HyphCSP5-6, HyphCSP9-12 and HyphCSP14-17) were relatively intense bands in the female and male antennae. Seven HyphCSP genes (HyphCSP5-6, HyphCSP9-12 and HyphCSP15) were expressed in all tested tissues. A wide range of expression in the pupae and larvae of HyphCSP genes (HyphCSP2-14, HyphCSP16-17) suggested the connection between chemosensory proteins and H. cunea pupae and larvae, involving various chemosensory processes (Fig 10).

Fig 9. H. cunea OBPs transcript levels in different tissues and life stages as measured by RT-PCR.

Fig 9

A: antennae; Th: thoraces; Ab: abdomens; L: legs; W: wings; P: pupae; La: larvae; NC: no template control; ♀: female; ♂: male. EF1-a was used as a reference gene for each cDNA template.

Fig 10. H. cunea CSPs transcript levels in different tissues and life stages as measured by RT-PCR.

Fig 10

A: antennae; Th: thoraces; Ab: abdomens; L: legs; W: wings; P: pupae; La: larvae; NC: no template control; ♀: female; ♂: male. EF1-a was used as a reference gene for each cDNA template.

In order to confirm the RT-PCR results, real-time quantitative PCR (RT-qPCR) analyses were conducted to characterize the expression profiles of the OBPs and CSPs in different tissues and life stages of H. cunea. The results showed that all OBPs and CSPs were expressed in antennae, confirming the authenticity of the transcriptome data (Figs 11 and 12). For 22 of the 30 OBPs (including three HyphPBP1-3), were observed the highest expression levels in antennae (Fig 11). Two OBPs–HyphOBP2 and HyphOBP23– had a relatively high expression both in antennae and legs. The expression levels of two OBPs (HyphOBP19 and HyphOBP21) in wings were significantly higher than organs. Five OBPs (HyphOBP5, HyphOBP14, HyphOBP16, HyphOBP22 and HyphOBP25) were detected the highest expression levels in pupae and one OBP (HyphOBP26) showed a higher expression levels in larvae (Fig 11). In addition, the expression levels of 16 antennae-enriched OBPs (HyphOBP2-4, HyphOBP6, HyphOBP8-9, HyphOBP11-13, HyphOBP15, HyphOBP18, HyphOBP20, HyphOBP23-24, and HyphOBP26-27) was higher in female antennae than in male antennae. Three PBPs (HyphPBP1-3) and two OBPs (HyphOBP7, and HyphOBP10) were significantly overexpressed in male antennae and displayed male antennae-biased expression.

Fig 11. H. cunea OBPs transcript levels in different tissues and life stages as measured by RT-qPCR.

Fig 11

Relative mRNA level in different tissues and life stages were analyzed with Duncan's new multiple range method. The standard errors are represented by error bars, different letters (a, b, c, d) above bars denote significant difference between different tissues and life stages, at the 0.05 level; FA: female antennae; MA: male antennae; L: legs; W: wings; FP: female pupae; MP: male pupae; La: larvae.

Fig 12. H. cunea CSPs transcript levels in different tissues and life stages as measured by RT-qPCR.

Fig 12

Relative mRNA level in different tissues and life stages were analyzed with Duncan's new multiple range method. The standard errors are represented by error bars, different letters (a, b, c, d) above bars denote significant difference between different tissues and life stages, at the 0.05 level; FA: female antennae; MA: male antennae; L: legs; W: wings; FP: female pupae; MP: male pupae; La: larvae.

For the CSPs, all of HyphCSP genes were expressed in all tested tissues and life stages. Among of 17 CSPs, eight CSPs (HyphCSP5, HyphCSP9-11, and HyphCSP13-16) and two CSPs (HyphCSP4 and HyphCSP7) were highly enriched in legs and in the wings, respectively. Whereas, only two CSPs (HyphCSP1 and HyphCSP12) showed a significantly higher expression in antennae than in other non-olfactory tissues. In addition, we also found that some CSPs were highly enriched in the pupae and larvae, such as two CSPs (HyphCSP3 and HyphCSP8) in larvae and three CSPs (HyphCSP2, HyphCSP6, HyphCSP17) in pupae (Fig 12).

In the whole, the results from RT-PCR bands were consistent with the results of RT-qPCR. For example, several HyphOBPs (HyphOBP2, HyphOBP10, HyphOBP13, HyphOBP15, and HyphPBP1-3) and HyphCSPs (HyphCSP2, HyphCSP5-6, HyphCSP9-12, and HyphCSP15), which were relatively intense bands in antennae, were also highly enriched in antennae by RT-qPCR (Figs 912). In short, the RT-PCR results were verified by RT-qPCR. Whereas, there were a few results of RT-qPCR were to be in disagreement with the bands shown using RT-PCR. For example, HyphOBP14, HyphOBP16 and HyphOBP25 were detected in pupae by RT-qPCR, but the expression bands of these genes were very faint by RT-PCR. These differences may owing to the differentiated sensitivity of these two techniques. RT-qPCR is considered to be the most powerful, sensitive, and quantitative assay for the detection of RNA levels.

Discussion

Numerous olfactory genes have been reported in recent studies of Lepidoptera, such as H. armigera [48], M. sexta [2], Epiphyas postvittana [27], Chilo suppressalis [26], Cydia pomonella [24], D. houi and D. kikuchii [42]. However, most research has focused on species using Type-I pheromones, with little known about species using the less common Type-II pheromones (Table 8). Here, we have identified numerous olfactory genes from an arctiid moth producing Type-II pheromones, using Illumina HiseqTM 2500 platform sequencing to analyze the antennal transcriptome of H. cunea as a step towards understanding olfactory processing in this and related species. In total, 30 OBPs, 17 CSPs, 52 ORs, 14 IRs, 9 GRs, and two SNMPs were identified from the antennae of H. cunea.

Table 8. Summary of olfactory genes and sex pheromone types in Lepidoptera.

Species Family Sex pheromone type OBPs CSPs ORs IRs GRs ODEs SNMPs Summary
Helicoverpa armigera Noctuidae TypeI 34 18 60 19 2 133
Agrotis ipsilon Noctuidae TypeI 33 12 42 24 1 2 114
Spodoptera litura Noctuidae TypeI 38 18 26 9 24 115
Spodoptera littoralis Noctuidae TypeI 36 21 47 17 6 127
Spodoptera exigua Noctuidae TypeI 34 20 10 6 6 3 79
Heliothis assulta Noctuidae TypeI 29 17 64 19 2 131
Sesamia inferens Noctuidae TypeI 24 24 39 3 27 2 119
Chilo suppressalis Pyralidae TypeI 26 21 47 20 2 116
Manduca sexta Sphingidae TypeI 18 21 48 6 1 2 96
Epiphyas postvittana Tortricidae TypeI 34 13 70 19 9 129 2 276
Hyphantria cunea Arctiidae TypeII 30 17 52 14 9 2 124
Ascotis selenaria cretacea Geometridae TypeII 2 2

In the transcriptome sets, a total of 59,243 unigenes were assembled from 78,131 transcripts. Compared with several reported moth transcriptomes, the mean length of unigenes in H. cunea (829bp) was longer than M. sexta (460bp) [2] and S.litura (603bp) [49], but shorter than A. ipsilon (967bp) [50] and H. armigera (991bp) [48]. Furthermore, the minimum length 201bp and the maximum length 29,665bp among all unigenes indicates the high quality and depth of sequencing at the transcriptome level. The species classification obtained by using Blastx in the Nr protein database showed that the highest similarity was to B. mori (48.1%) and D. plexippus (29.5%), possibly in part because of the extensive identification of genes, including olfactory genes, from B. mori (14,623) [46] and D. plexippus (16866) [51] with the genome sequencing approach. GO and KO annotation were also generated during the bioinformatics analysis. In the H. cunea transcriptome, 21.1% of the unigenes (12,565) were annotated in GO, slightly more than the KO which comprised 9.75% (5,781), that is, over 70% of the unigenes had no annotation in either the GO or KO databases, suggesting a large number of new potential olfactory genes.

We identified 30 OBPs on the basis of antennal transcriptome of H. cunea by homology alignment. The number of H. cunea OBP genes predicted in this study was similar to H. assulta (29) [52] and A. ipsilon (33) [50], but less than S. litura with 38 OBPs [41], or B. mori (44) [53], the latter of which had whole-genome data. The homology analysis in the phylogenetic tree showed that HyphOBPs were divided into several different branches with another 219 OBPs from nine lepidopteran species, such as the Plus-C subfamily (HyphOBP1, HyphOBP6, HyphOBP23), the Minus-C subfamily (HyphOBP5, HyphOBP19), and the PBP subfamily including HyphPBP1-3. The differential types of H. cunea OBPs, suggested by the various molecular structures constructed from diverse numbers of cysteines [7], indicates that HyphOBPs may be involved in biological processes other than olfaction. OBPs are a key link in olfactory processing because they transport odorants from the external environment through the sensilla lymph to the ORs [5, 54]. Many researches have shown that insect OBPs are found specifically in antennae [53, 5557], in our study, most of the OBPs of H. cunea were highly abundant in the antennae by RT-PCR and RT-qPCR analyses, suggesting their putative role in the odorant detection. However, some OBPs were expressed in tissues other than antennae: HyphOBP19 and HyphOBP21 had a relatively high expression in wings than other organs, and HyphOBP2 and HyphOBP23 were leg-enriched. In addition, several OBPs (HyphOBP5, HyphOBP14, HyphOBP16, HyphOBP22, HyphOBP25 and HyphOBP26) were also enriched in pupae and larvae. These suggest that insect OBPs are widely distributed in other tissues (legs and wings) besides the antennae, and adapt to complex olfaction-related activities in different development stages.

Sex pheromones play a crucial role as signals between sexually reproducing insect species [29]. Moth sex pheromones consist of two major types: Type-I and Type—II. About 75% of known moth sex pheromones are the Type-I, such as those of some species in the Pyralidae, Noctuidae and Tortricidae [19, 20]. Type-II pheromones are found in 15% of lepidopteran species, primarily the Arctiidae and Geometroidea [20, 58]. H. cunea (Drury) is one of the most destructive species in the group of Arctiidae that use Type-II pheromone. In this study, three PBPs were identified among the 30 OBPs of H. cunea. According to the RT-qPCR method, all three PBPs (HyphPBP1-3) showed high expression level (Fig 11) in antennae and were male antennae-biased, suggesting their putative role in detecting of the female sex pheromones.

Bioinformatics analysis led to the identification of 17 CSPs from our transcriptome data. CSPs are another type of soluble protein that have similar functions to OBPs in carrying semiochemicals [59], while being smaller and more conserved than OBPs. The Blastx analysis of the CSPs proved their relatively high conservation among various species (Table 4). Compared with the unique and/or primary expression in antennae of OBPs, CSPs demonstrated, as many CSPs were found on various body parts such as, antennae, thoraces, abdomens, legs, and wings, even in pupae and larvae (Figs 10 and 12). This ubiquitous expression characteristic of CSPs suggested that they may participate in regulatory mechanisms or other physiological processes in on-olfactory tissues.

In motif pattern analysis by MEME, eight motifs for both 76 OBPs and 43 CSPs from H. cunea, B. mori, and H. armigera were identified. The most common motif pattern in OBPs had a motif order of 4-1-5-3-2, including 14 homologous OBPs and the motif pattern 8-2-6-3-5-7-1-4, which had five homologous CSPs was the most common pattern in CSPs. There still have more conserved motifs in OBPs and CSPs in three distinct lepidopteran families. Similar results also reported by Gu et al and Zhang et al [41, 42], which compared the motif patterns within genus and between Lepidoptera OBPs and CSPs. The most noteworthy is that HyphPBP1 and HyphPBP2 had the same conserved motifs with HarmPBP1 and HarmPBP2, despite the different pheromone types between the two species. Further research on the functional roles of the proteins may explain this phenomenon and determine the binding characteristics of PBPs and the Type-II pheromone components of H. cunea.

Insect SNMPs are two-transmembrane, olfactory-specific membrane proteins that are homologous with human CD36 receptors [13]. Two SNMPs, SNMP1 and SNMP2, have been identified in insects, and expressed at different locations in antennal sensilla [13, 6063]. In this study, SNMP1 and SNMP2 were identified, and it is clear that these two SNMPs belong to separate subfamilies from the phylogenetic tree (Fig 6). Nine GRs were discovered in this study, of which, HyphGR3 was clustering with BmorGR8 which has been identified as a sugar receptor; Thus, possibly HyphGR3 plays functions as a sugar receptor, and the antennae of H. cunea may have a role in sugar detection [64]. This suggests that the antennae of H. cunea may play a role in sugar detection, and more GRs participating in detection of bitter and other compounds may be found by further study of H. cunea. We discovered 14 IRs from the antennal transcriptome, and all of them were distributed in different IR subfamilies. Among of them, HyphIR14 and HyphIR12 were identified as the highly conserved coreceptors IR25a, IR8a, respectively, and HyphIR9 was characterized as IR76b subunit, which maybe the second putative coreceptor [65].

ORs are pivotal in sophisticated olfaction systems and have been proposed to be a link between the external environment and insect physiological reactions [5]. A total of 52 ORs were identified in the H. cunea antennae transcriptome. The number of HyphORs is higher than in other lepidopteran species, such as H. armigera (47) [48], S. littoralis (47) [66], S. inferens (39) [67] and S. litura (26) [49]. It is generally accepted that ORs are divided into atypical odorant receptors and traditional odorant receptors. In our study, HyphOR27 was identified as one of the atypical odorant receptors, also called ORco, and it clustered with ORco from B. mori and S. inferens with >90% homology (Fig 3). Three pheromone receptors (PRs) (HyphOR1, 7, 50) were also located in the PR subcategory branches. HyphOR50 was orthologous to ObruOR1, another known pheromone receptor in species using Type-II pheromone. This phenomenon may indicate the common ancestor of PR genes in Type-II pheromone responding moths. AsegOR3, responding to both Type-I and Type-II pheromones from a Type-I pheromone producing moth, was also clustered with these two PRs, which may suggest similarities in evolution. Several branches were noteworthy, such as-HyphOR39, 33, 3, 25, and 32, which share a high homology with SinfOR19 and forming a separate subset. The same situation occurred with HyphOR40, 29, 45 and SinfOR16. These orthologies suggest similar protein structures and functions between H. cunea and S. inferens, which would need to be followed up in further research.

Chouioia cunea Yang is a native parasitoid wasp that represents a significant natural enemy to H. cunea and which could play a vital role in the biological control of the fall webworm [30, 68]. The mechanisms by which C. cunea locates, recognizes, and parasitizes H. cunea are not known, but there may be some overlap in the chemosensory abilities of the two species [69]. Thus, we constructed two phylogenetic trees using OBPs and CSPs from H. cunea and C. cunea [70] (S7 and S8 Figs). Six clusters (C1, C2, C3, C4, C5, C6) were generated from the OBPs of the two species, indicating some similarities in olfaction between the parasitoid wasp and its host. In particular, HyphOBP10 and CcunOBP13 were considered orthologous, with 75% similarity, and probably similar molecular structure and function [71]. Compared with OBPs, CcunCSP7 had a higher orthology with HyphCSP1 and HyphCSP2, perhaps due to strong conservation of this class of proteins. Similar results have been reported shared OBPs and CSPs from the antennal transcriptome study of another serious pest, Monochamus alternatus, and its parasitoid Dastarcus helpophoroides [69]. This could be explained by another herbivore-plant-parasitoid system, wherein the homoterpene E-4,8-dimethyl-1,3,7-nonatriene (DMNT), is a key plant compound released by plants under attack by herbivores, and subsequently used as a cue by natural enemies in finding prey; the herbivore species S. littoralis was in turn deterred by this herbivore-induced plant volatiles [72]. This overlap is ecologically significant, as herbivores and their parasites are expected to share the ability to detect several biological relevant compounds, which may include kairomonal detection of pheromones or herbivore-induced plant volatiles (HIPVs) [69]. Our study provides supporting evidence for the hypothesis that herbivores and their parasites may share olfactory capabilities for perceiving similar biologically relevant compounds. The similarities in proteins may be due to the parasite utilizing similar environmental cues to locate hosts, or possibly for detecting the host directly via H. cunea pheromones. However, this hypothesis remains to be verified by testing the compounds that could be physiologically or behaviorally active in H. cunea and C. cunea. A better understanding of the similarities in chemosensory genes and the interactions between H. cunea and C. cunea may indicate an efficient method to eliminate this invasive pest.

Conclusions

The transcriptome analysis of H. cunea has provided, for the first time, identification of 124 genes related to the olfactory system of a Type-II lepidopteran pheromone using species and provides insights towards a better understanding of the molecular mechanisms of olfaction for Arctiid moths. Importantly, we found three PBPs (HyphPBP1-3), one putative sugar receptor (HyphGR3), three conserved coreceptors (HyphIR9, HyphIR12 and HyphIR14), one ORco (HyphOR27) and three PRs (HyphOR1, 7, 50), based on phylogenetic analysis. The motifs analysis in OBPs and CSPs from H. cunea, B. mori, and H. armigera were conducted, using a MEME system, and many conserved motif patterns of OBPs and CSPs were found. It was noteworthy that HyphPBP1 and HyphPBP2 had the same conserved motif patterns with HarmPBP1 and HarmPBP2, despite the different pheromone types between the two species. These investigations might provide some insights into the function and evolution of insect OBPs and CSPs. We further verified the expression of OBPs and CSPs by RT-PCR and RT-qPCR analysis and confirmed the authenticity of the transcriptome data. The most of the OBPs had antenna-biased expression and a few of OBPs were enriched in pupae and larvae. And the CSPs demonstrated a ubiquitous expression characteristic. Moreover, three PBPs (HyphPBP1-3) were antennae-enriched and displayed a male antennae-biased expression. The tissue and sex-biased expression patterns may provide a deeper further understanding of olfactory processing in H. cunea. Our work allows for further functional studies of these pheromone binding proteins and potential olfactory receptors in H. cunea, which may be meaningful targets for the management of this devastating invasive species in China.

Supporting Information

S1 Fig. Distribution of unigene and transcript length interval in the H. cunea transcriptome assembly.

(TIF)

S2 Fig. Homology analysis of H. cunea unigenes.

All 15245 unigenes were searched by Blastx against the Nr database with an e-value cut-off of 10−5, and analyzed for similarity distribution (A), E-value distribution (B) and species classification (C).

(TIF)

S3 Fig. Gene ontology (GO) classification of H. cunea unigenes.

(TIF)

S4 Fig. KEGG classification of H. cunea unigenes.

(TIF)

S5 Fig. Multiple amino acid sequence alignment of OBPs in H. cunea.

(TIF)

S6 Fig. Multiple amino acid sequence alignment of CSPs in H. cunea.

(TIF)

S7 Fig. Phylogenetic tree of putative odorant binding protein (OBP) genes from H. cunea and C. cunea. Ccun: C. cunea.

(TIF)

S8 Fig. Phylogenetic tree of putative chemosensory protein (CSP) genes from H. cunea and C. cunea. Ccun: C. cunea.

(TIF)

S1 Table. The descriptive statistics and results of ANOVA of OBPs gene expression quantification.

(DOCX)

S2 Table. The descriptive statistics and results of ANOVA of CSPs gene expression quantification.

(DOCX)

Acknowledgments

We thank Tao Dianwu (Forest Pest Control Station of Sixian, Anhui Province) for help in collecting pupae of H. cunea. We thank Dr. Jocelyn Millar and R. Maxwell Collignon (University of California, Riverside), Dr. Dong Shuanglin (Nanjing Agricultural University), Dr He Peng (Guizhou University), Dr. Wang Bo (Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences), as well as Jacob D. Wickham (CAS President's International Fellowship Initiative Key Lab of Analytical Chemistry for Living Biosystems) who provided critical comments for this manuscript.

Data Availability

All relevant data are within the paper and its Supporting Information files.

Funding Statement

This work was supported by Natural Science Foundation of Anhui Province 1508085SMC216: L-WZ; National Natural Science Foundation of China 31170616: L-WZ; National Natural Science Foundation of China 31000304: Y-QY; and National Natural Science Foundation of China 31200490: Y-NZ. The funders had roles in study design, data collection and analysis, decision to publish, and preparation of the manuscript.

References

  • 1.Hildebrand JG. Analysis of chemical signals by nervous systems. Proceedings of the National Academy of Sciences of the United States of America. 1995;92(1):67–74. Epub 1995/01/03. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Grosse-Wilde E, Kuebler LS, Bucks S, Vogel H, Wicher D, Hansson BS. Antennal transcriptome of Manduca sexta. Proceedings of the National Academy of Sciences of the United States of America. 2011;108(18):7449–54. 10.1073/pnas.1017963108 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Hildebrand JG, Shepherd GM. Mechanisms of olfactory discrimination: converging evidence for common principles across phyla. Annual review of neuroscience. 1997;20:595–631. Epub 1997/01/01. 10.1146/annurev.neuro.20.1.595 . [DOI] [PubMed] [Google Scholar]
  • 4.Gu XC, Zhang YN, Kang K, Dong SL, Zhang LW. Antennal Transcriptome Analysis of Odorant Reception Genes in the Red Turpentine Beetle (RTB), Dendroctonus valens. Plos One. 2015;10(5):e0125159 Epub 2015/05/06. 10.1371/journal.pone.0125159 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Leal WS. Odorant Reception in Insects: Roles of Receptors, Binding Proteins, and Degrading Enzymes. Annual Review of Entomology. 2013;58:373–91. 10.1146/annurev-ento-120811-153635 . [DOI] [PubMed] [Google Scholar]
  • 6.Benton R, Vannice KS, Gomez-Diaz C, Vosshall LB. Variant Ionotropic Glutamate Receptors as Chemosensory Receptors in Drosophila. Cell. 2009;136(1):149–62. 10.1016/j.cell.2008.12.001 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Xu YL, He P, Zhang L, Fang SQ, Dong SL, Zhang YJ, et al. Large-scale identification of odorant-binding proteins and chemosensory proteins from expressed sequence tags in insects. BMC Genomics. 2009;10:632 Artn 632 10.1186/1471-2164-10-632 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Pelosi P, Zhou JJ, Ban LP, Calvello M. Soluble proteins in insect chemical communication. Cellular and Molecular Life Sciences. 2006;63(14):1658–76. 10.1007/s00018-005-5607-0 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Dunipace L, Meister S, McNealy C, Amrein H. Spatially restricted expression of candidate taste receptors in the Drosophila gustatory system. Current Biology. 2001;11(11):822–35. 10.1016/S0960-9822(01)00258-5 . [DOI] [PubMed] [Google Scholar]
  • 10.Scott K, Brady R, Cravchik A, Morozov P, Rzhetsky A, Zuker C, et al. A chemosensory gene family encoding candidate gustatory and olfactory receptors in Drosophila. Cell. 2001;104(5):661–73. 10.1016/S0092-8674(02)02052-4 . [DOI] [PubMed] [Google Scholar]
  • 11.Hu P, Wang J, Cui M, Tao J, Luo Y. Antennal transcriptome analysis of the Asian longhorned beetle Anoplophora glabripennis. Scientific Reports. 2016;6:26652 10.1038/srep26652 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Croset V, Rytz R, Cummins SF, Budd A, Brawand D, Kaessmann H, et al. Ancient Protostome Origin of Chemosensory Ionotropic Glutamate Receptors and the Evolution of Insect Taste and Olfaction. Plos Genetics. 2010;6(8):e1001064 ARTN e1001064 10.1371/journal.pgen.1001064 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Rogers ME, Krieger J, Vogt RG. Antennal SNMPs (sensor neuron membrane proteins) of lepidoptera define a unique family of invertebrate CD36-like proteins. Journal of Neurobiology. 2001;49(1):47–61. 10.1002/Neu.1065 . [DOI] [PubMed] [Google Scholar]
  • 14.Gomi T. Seasonal adaptations of the fall webworm Hyphantria cunea (Drury) (Lepidoptera: Arctiidae) following its invasion of Japan. Ecological Research. 2007;22(6):855–61. 10.1007/s11284-006-0327-y . [DOI] [Google Scholar]
  • 15.Yang Z-q, Wei J-r, Wang X-y. Mass rearing and augmentative releases of the native parasitoid Chouioia cunea for biological control of the introduced fall webworm Hyphantria cunea in China. Biocontrol. 2006;51(4):401–18. 10.1007/s10526-006-9010-z . [DOI] [Google Scholar]
  • 16.Liu H, Luo Y, Wen J, Zhang Z, Feng J, Tao W. Pest risk assessment of Dendroctonus valens, Hyphantria cunea and Apriona swainsoni in Beijing. Frontiers of Forestry in China. 2006;1(3):328–35. 10.1007/s11461-006-0025-5 [DOI] [Google Scholar]
  • 17.Tang R, Zhang JP, Zhang ZN. Electrophysiological and Behavioral Responses of Male Fall Webworm Moths (Hyphantria cunea) to Herbivory-Induced Mulberry (Morus alba) Leaf Volatiles. Plos One. 2012;7(11):e49256 ARTN e49256 10.1371/journal.pone.0049256 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Yang ZQ, Wang XY, Wei JR, Qu HR, Qiao XR. Survey of the native insect natural enemies of Hyphantria cunea (Drury) (Lepidoptera: Arctiidae) in China. Bulletin of Entomological Research. 2008;98(3):293–302. 10.1017/s0007485308005609 . [DOI] [PubMed] [Google Scholar]
  • 19.Millar JG. Polyene hydrocarbons and epoxides: A second major class of lepidopteran sex attractant pheromones. Annual Review of Entomology. 2000;45:575–604. 10.1146/annurev.ento.45.1.575 . [DOI] [PubMed] [Google Scholar]
  • 20.Ando T, Inomata S, Yamamoto M. The Chemistry of Pheromones and Other Semiochemicals I Berlin: Springer; 2004. [Google Scholar]
  • 21.Tang R, Su MW, Zhang ZN. Electroantennogram responses of an invasive species fall webworm (Hyphantria cunea) to host volatile compounds. Chinese Science Bulletin. 2012;57(35):4560–8. 10.1007/s11434-012-5356-z . [DOI] [Google Scholar]
  • 22.Abraham D, Lofstedt C, Picimbon JF. Molecular characterization and evolution of pheromone binding protein genes in Agrotis moths. Insect Biochemistry and Molecular Biology. 2005;35(10):1100–11. 10.1016/j.ibmb.2005.05.002 . [DOI] [PubMed] [Google Scholar]
  • 23.Andersson MN, Grosse-Wilde E, Keeling CI, Bengtsson JM, Yuen MMS, Li M, et al. Antennal transcriptome analysis of the chemosensory gene families in the tree killing bark beetles, Ips typographus and Dendroctonus ponderosae (Coleoptera: Curculionidae: Scolytinae). BMC Genomics. 2013;14:198 Artn 198 10.1186/1471-2164-14-198 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Bengtsson JM, Trona F, Montagne N, Anfora G, Ignell R, Witzgall P, et al. Putative Chemosensory Receptors of the Codling Moth, Cydia pomonella, Identified by Antennal Transcriptome Analysis. Plos One. 2012;7(2):e31620 ARTN e31620 10.1371/journal.pone.0031620 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Bezerra do Nascimento AR, Fresia P, Consoli FL, Omoto C. Comparative transcriptome analysis of lufenuron-resistant and susceptible strains of Spodoptera frugiperda (Lepidoptera: Noctuidae). BMC Genomics. 2015;16:985 10.1186/s12864-015-2183-z . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Cao DP, Liu Y, Wei JJ, Liao XY, Walker WB, Li JH, et al. Identification of Candidate Olfactory Genes in Chilo suppressalis by Antennal Transcriptome Analysis. International journal of biological sciences. 2014;10(8):846–60. 10.7150/ijbs.9297 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Corcoran JA, Jordan MD, Thrimawithana AH, Crowhurst RN, Newcomb RD. The Peripheral Olfactory Repertoire of the Lightbrown Apple Moth, Epiphyas postvittana. Plos One. 2015;10(5):e0128596 Epub 2015/05/29. 10.1371/journal.pone.0128596 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Elfekih S, Chen CY, Hsu JC, Belcaid M, Haymer D. Identification and preliminary characterization of chemosensory perception-associated proteins in the melon fly Bactrocera cucurbitae using RNA-seq. Scientific reports. 2016;6:19112 Epub 2016/01/12. 10.1038/srep19112 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Zhang DD, Wang HL, Schultze A, Fross H, Francke W, Krieger J, et al. Receptor for detection of a Type II sex pheromone in the winter moth Operophtera brumata. Scientific reports. 2016;6:18576 Epub 2016/01/06. 10.1038/srep18576 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Yang ZQ. A new genus and species of Eulophidae (Hymenoptera:Chalcidoidea) parasitizing Hyphantria cunea(Drury) (Lepidoptera:Arctiidae) in China. Entomotaxonomia. 1989;(Z1):117–30. [Google Scholar]
  • 31.Yang ZQ, Baur H. A new species of Conomorium Masi (Hymenoptera: Pteromalidae), parasitizing the fall webworm Hyphantria cunea (Drury) (Lepidoptera: Arctiidae) in China. Mitteilungen Der Schweizerischen Entomologischen Gesellschaft. 2004;77(3–4):213–21. [Google Scholar]
  • 32.Yang ZQ. Studies on Utilizing Parasitoid Chouioia cunea Yang (Hymenoptera: Eulophidae) for Sustainable Control of Fall Webworm. Scientia Silvae Sinicae. 2005;41(5):72–80. [Google Scholar]
  • 33.Yang ZQ, Wei JR, Wang XY. Mass rearing and augmentative releases of the native parasitoid Chouioia cunea for biological control of the introduced fall webworm Hyphantria cunea in China. Biocontrol. 2006;51(4):401–18. 10.1007/s10526-006-9010-z . [DOI] [Google Scholar]
  • 34.Grabherr MG, Haas BJ, Yassour M, Levin JZ, Thompson DA, Amit I, et al. Full-length transcriptome assembly from RNA-Seq data without a reference genome. Nature Biotechnology. 2011;29(7):644–52. 10.1038/nbt.1883 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Gotz S, Garcia-Gomez JM, Terol J, Williams TD, Nagaraj SH, Nueda MJ, et al. High-throughput functional annotation and data mining with the Blast2GO suite. Nucleic Acids Research. 2008;36(10):3420–35. 10.1093/nar/gkn176 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Young MD, Wakefield MJ, Smyth GK, Oshlack A. Gene ontology analysis for RNA-seq: accounting for selection bias. Genome Biology. 2010;11(2):R14 Artn R14 10.1186/Gb-2010-11-2-R14 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Petersen TN, Brunak S, von Heijne G, Nielsen H. SignalP 4.0: discriminating signal peptides from transmembrane regions. Nature Methods. 2011;8(10):785–6. 10.1038/nmeth.1701 . [DOI] [PubMed] [Google Scholar]
  • 38.Larkin MA, Blackshields G, Brown NP, Chenna R, McGettigan PA, McWilliam H, et al. Clustal W and clustal X version 2.0. Bioinformatics. 2007;23(21):2947–8. 10.1093/bioinformatics/btm404 . [DOI] [PubMed] [Google Scholar]
  • 39.Tamura K, Peterson D, Peterson N, Stecher G, Nei M, Kumar S. MEGA5: Molecular Evolutionary Genetics Analysis Using Maximum Likelihood, Evolutionary Distance, and Maximum Parsimony Methods. Molecular Biology and Evolution. 2011;28(10):2731–9. 10.1093/molbev/msr121 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Bailey TL, Elkan C. Fitting a mixture model by expectation maximization to discover motifs in biopolymers. Proceedings of the Second International Conference on Intelligent Systems for Molecular Biology. 1994;2:28–36. Epub 1994/01/01. 7584402. [PubMed]
  • 41.Gu SH, Zhou JJ, Gao S, Wang DH, Li XC, Guo YY, et al. Identification and comparative expression analysis of odorant binding protein genes in the tobacco cutworm Spodoptera litura. Scientific reports. 2015;5:13800 10.1038/srep13800 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Zhang S, Zhang Z, Wang H, Kong X. Antennal transcriptome analysis and comparison of olfactory genes in two sympatric defoliators, Dendrolimus houi and Dendrolimus kikuchii (Lepidoptera: Lasiocampidae). Insect Biochemistry and Molecular Biology. 2014;52:69–81. Epub 2014/07/08. 10.1016/j.ibmb.2014.06.006 . [DOI] [PubMed] [Google Scholar]
  • 43.Simon P. Q-Gene: processing quantitative real-time RT-PCR data. Bioinformatics. 2003;19(11):2003. [DOI] [PubMed] [Google Scholar]
  • 44.Muller PY, Janovjak H, Miserez AZ. Processing of gene expression data generated by quantitative real-time RT-PCR. Biotechniques. 2002;32(6):1379–0. [PubMed] [Google Scholar]
  • 45.Xia QY, Zhou ZY, Lu C, Cheng DJ, Dai FY, Li B, et al. A draft sequence for the genome of the domesticated silkworm (Bombyx mori). Science. 2004;306(5703):1937–40. 10.1126/science.1102210 . [DOI] [PubMed] [Google Scholar]
  • 46.Xia QY, Wang J, Zhou ZY, Li RQ, Fan W, Cheng DJ, et al. The genome of a lepidopteran model insect, the silkworm Bombyx mori. Insect Biochem Molec. 2008;38(12):1036–45. 10.1016/j.ibmb.2008.11.004 . [DOI] [PubMed] [Google Scholar]
  • 47.Hekmat-Scafe DS, Scafe CR, Mckinney AJ, Tanouye MA. Genome-wide analysis of the odorant-binding protein gene family in Drosophila melanogaster. Genome Research. 2002;12(9):1357–69. 10.1101/gr.239402 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Liu Y, Gu SH, Zhang YJ, Guo YY, Wang GR. Candidate Olfaction Genes Identified within the Helicoverpa armigera Antennal Transcriptome. Plos One. 2012;7(10):e48260 ARTN e48260 10.1371/journal.pone.0048260 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Feng B, Lin X, Zheng K, Qian K, Chang Y, Du Y. Transcriptome and expression profiling analysis link patterns of gene expression to antennal responses in Spodoptera litura. BMC Genomics. 2015;16:269 Epub 2015/04/19. 10.1186/s12864-015-1375-x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Gu SH, Sun L, Yang RN, Wu KM, Guo YY, Li XC, et al. Molecular characterization and differential expression of olfactory genes in the antennae of the black cutworm moth Agrotis ipsilon. Plos One. 2014;9(8):e103420 Epub 2014/08/02. 10.1371/journal.pone.0103420 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Zhan S, Merlin C, Boore JL, Reppert SM. The monarch butterfly genome yields insights into long-distance migration. Cell. 2011;147(5):1171–85. Epub 2011/11/29. 10.1016/j.cell.2011.09.052 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Zhang J, Wang B, Dong S, Cao D, Dong J, Walker WB, et al. Antennal transcriptome analysis and comparison of chemosensory gene families in two closely related noctuidae moths, Helicoverpa armigera and H. assulta. Plos One. 2015;10(2):e0117054 Epub 2015/02/07. 10.1371/journal.pone.0117054 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Gong DP, Zhang HJ, Zhao P, Xia QY, Xiang ZH. The odorant binding protein gene family from the genome of silkworm, Bombyx mori. BMC Genomics. 2009;10:332 Epub 2009/07/25. 10.1186/1471-2164-10-332 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Leal WS. Pheromone Reception. Topics in Current Chemistry. 2005;240:1–36. 10.1007/b98314 [DOI] [Google Scholar]
  • 55.De Biasio F, Riviello L, Bruno D, Grimaldi A, Congiu T, Sun YF, et al. Expression pattern analysis of odorant-binding proteins in the pea aphid Acyrthosiphon pisum. Insect Science. 2015;22(2):220–34. 10.1111/1744-7917.12118 . [DOI] [PubMed] [Google Scholar]
  • 56.Pelletier J, Leal WS. Characterization of olfactory genes in the antennae of the Southern house mosquito, Culex quinquefasciatus. Journal of Insect Physiology. 2011;57(7):915–29. 10.1016/j.jinsphys.2011.04.003 . [DOI] [PubMed] [Google Scholar]
  • 57.Gu SH, Wang SP, Zhang XY, Wu KM, Guo YY, Zhou JJ, et al. Identification and tissue distribution of odorant binding protein genes in the lucerne plant bug Adelphocoris lineolatus (Goeze). Insect Biochemistry and Molecular Biology. 2011;41(4):254–63. 10.1016/j.ibmb.2011.01.002 . [DOI] [PubMed] [Google Scholar]
  • 58.Ando T, Kawai T, Matsuoka K. Epoxyalkenyl sex pheromones produced by female moths in highly evolved groups: biosynthesis and its endocrine regulation. Journal of Pesticide Science. 2008;33(1):17–20. 10.1584/jpestics.R07-06 . [DOI] [Google Scholar]
  • 59.Wanner KW, Willis LG, Theilmann DA, Isman MB, Feng QL, Plettner E. Analysis of the insect os-d-like gene family. Journal of Chemical Ecology. 2004;30(5):889–911. 10.1023/B:Joec.0000028457.51147.D4 . [DOI] [PubMed] [Google Scholar]
  • 60.Rogers ME, Steinbrecht RA, Vogt RG. Expression of SNMP-1 in olfactory neurons and sensilla of male and female antennae of the silkmoth Antheraea polyphemus. Cell and Tissue Research. 2001;303(3):433–46. 10.1007/s004410000305 . [DOI] [PubMed] [Google Scholar]
  • 61.Rogers ME, Sun M, Lerner MR, Vogt RG. SNMP-1, a novel membrane protein of olfactory neurons of the silk moth Antheraea polyphemus with homology to the CD36 family of membrane proteins. Journal of Biological Chemistry. 1997;272(23):14792–9. Epub 1997/06/06. . [DOI] [PubMed] [Google Scholar]
  • 62.Liu CC, Zhang J, Liu Y, Wang GR, Dong SL. Expression of SNMP1 and SNMP2 Genes in Antennal Sensilla of Spodoptera Exigua (Hubner). Archives of Insect Biochemistry and Physiology. 2014;85(2):114–26. 10.1002/arch.21150 . [DOI] [PubMed] [Google Scholar]
  • 63.Forstner M, Gohl T, Gondesen I, Raming K, Breer H, Krieger J. Differential expression of SNMP-1 and SNMP-2 proteins in pheromone-sensitive hairs of moths. Chemical Senses. 2008;33(3):291–9. 10.1093/chemse/bjm087 . [DOI] [PubMed] [Google Scholar]
  • 64.Zhang HJ, Anderson AR, Trowell SC, Luo AR, Xiang ZH, Xia QY. Topological and Functional Characterization of an Insect Gustatory Receptor. Plos One. 2011;6(8):e24111 ARTN e24111 10.1371/journal.pone.0024111 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Abuin L, Bargeton B, Ulbrich MH, Isacoff EY, Kellenberger S, Benton R. Functional Architecture of Olfactory Ionotropic Glutamate Receptors. Neuron. 2011;69(1):44–60. 10.1016/j.neuron.2010.11.042 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66.Poivet E, Gallot A, Montagne N, Glaser N, Legeai F, Jacquin-Joly E. A comparison of the olfactory gene repertoires of adults and larvae in the noctuid moth Spodoptera littoralis. Plos One. 2013;8(4):e60263 Epub 2013/04/09. 10.1371/journal.pone.0060263 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67.Zhang YN, Jin JY, Jin R, Xia YH, Zhou JJ, Deng JY, et al. Differential Expression Patterns in Chemosensory and Non-Chemosensory Tissues of Putative Chemosensory Genes Identified by Transcriptome Analysis of Insect Pest the Purple Stem Borer Sesamia inferens (Walker). Plos One. 2013;8(7):e69715 ARTN e69715 10.1371/journal.pone.0069715 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68.Godfray HCJ. Parasitoids, Behavioral and Evolutionary Ecology. Environmental entomology. 1994; 24(2):483–4(2). [Google Scholar]
  • 69.Wang J, Li DZ, Min SF, Mi F, Zhou SS, Wang MQ. Analysis of chemosensory gene families in the beetle Monochamus alternatus and its parasitoid Dastarcus helophoroides. Comparative biochemistry and physiology Part D, Genomics & proteomics. 2014;11:1–8. Epub 2014/06/04. 10.1016/j.cbd.2014.05.001 . [DOI] [PubMed] [Google Scholar]
  • 70.Zhao Y, Wang F, Zhang X, Zhang S, Guo S, Zhu G, et al. Transcriptome and Expression Patterns of Chemosensory Genes in Antennae of the Parasitoid Wasp Chouioia cunea. Plos One. 2016;11(2):e0148159 Epub 2016/02/04. 10.1371/journal.pone.0148159 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71.Fitch WM. Distinguishing homologous from analogous proteins. Systematic Zoology. 1970;19(2):99–113. [PubMed] [Google Scholar]
  • 72.Hatano E, Saveer AM, Borrero-Echeverry F, Strauch M, Zakir A, Bengtsson M, et al. A herbivore-induced plant volatile interferes with host plant and mate location in moths through suppression of olfactory signalling pathways. BMC biology. 2015;13:75 Epub 2015/09/18. 10.1186/s12915-015-0188-3 [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

S1 Fig. Distribution of unigene and transcript length interval in the H. cunea transcriptome assembly.

(TIF)

S2 Fig. Homology analysis of H. cunea unigenes.

All 15245 unigenes were searched by Blastx against the Nr database with an e-value cut-off of 10−5, and analyzed for similarity distribution (A), E-value distribution (B) and species classification (C).

(TIF)

S3 Fig. Gene ontology (GO) classification of H. cunea unigenes.

(TIF)

S4 Fig. KEGG classification of H. cunea unigenes.

(TIF)

S5 Fig. Multiple amino acid sequence alignment of OBPs in H. cunea.

(TIF)

S6 Fig. Multiple amino acid sequence alignment of CSPs in H. cunea.

(TIF)

S7 Fig. Phylogenetic tree of putative odorant binding protein (OBP) genes from H. cunea and C. cunea. Ccun: C. cunea.

(TIF)

S8 Fig. Phylogenetic tree of putative chemosensory protein (CSP) genes from H. cunea and C. cunea. Ccun: C. cunea.

(TIF)

S1 Table. The descriptive statistics and results of ANOVA of OBPs gene expression quantification.

(DOCX)

S2 Table. The descriptive statistics and results of ANOVA of CSPs gene expression quantification.

(DOCX)

Data Availability Statement

All relevant data are within the paper and its Supporting Information files.


Articles from PLoS ONE are provided here courtesy of PLOS

RESOURCES