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Article

Genome-Wide Identification of Detoxification Genes in Wild Silkworm Antheraea pernyi and Transcriptional Response to Coumaphos

College of Bioscience and Biotechnology, Shenyang Agricultural University, 120 Dongling Road, Shenyang 110866, China
*
Authors to whom correspondence should be addressed.
These authors contributed equally to this work.
Int. J. Mol. Sci. 2023, 24(11), 9775; https://doi.org/10.3390/ijms24119775
Submission received: 30 March 2023 / Revised: 1 June 2023 / Accepted: 3 June 2023 / Published: 5 June 2023
(This article belongs to the Section Molecular Genetics and Genomics)

Abstract

:
For a half-century, the commercial wild silkworm, Antheraea pernyi, has been protected by coumaphos, which is an internal organophosphorus insecticide used to kill the potential parasitic fly larvae inside. Knowledge about the detoxification genes of A. pernyi as well as the detoxification mechanism for this species remains severely limited. In this study, we identified 281 detoxification genes (32 GSTs, 48 ABCs, 104 CYPs, and 97 COEs) in the genome of this insect, which are unevenly distributed over 46 chromosomes. When compared to the domesticated silkworm, Bombyx mori, a lepidopteran model species, A. pernyi has a similar number of ABCs, but a greater number of GSTs, CYPs, and COEs. By transcriptome-based expression analysis, we found that coumaphos at a safe concentration level significantly changed the pathways related to ATPase complex function and the transporter complex in A. pernyi. KEGG functional enrichment analysis indicated that protein processing in the endoplasmic reticulum was the most affected pathway after coumaphos treatment. Finally, we identified four significantly up-regulated detoxification genes (ABCB1, ABCB3, ABCG11, and ae43) and one significantly down-regulated detoxification gene (CYP6AE9) in response to coumaphos treatment, suggesting that these five genes may contribute to detoxification of coumaphos in A. pernyi. Our study provides the first set of detoxification genes for wild silkworms from Saturniidae and highlights the importance of detoxification gene repertoire in insect pesticide tolerance.

1. Introduction

Chinese oak silkworm, Antheraea pernyi Guérin-Méneville 1855 (Lepidoptera: Saturniidae), is one of the most well-known wild silkworms, and it still feeds on oak trees (Quercus) during the whole larval stage [1,2,3]. Commercial rearing of A. pernyi to produce raw silk as fiber has a long history and is practiced in China, India, Japan, and Korea [1]. This significant commercial insect is also employed as a source of insect food (larva, pupa, and moths) for cosmetics and human use. Due to its vivid larval body, A. pernyi serves as a significant source of tourism in addition to its commercial applications. In investigations of breeding technique, development, metabolism regulation, and immune response, this species has also served as a well-known experimental model system [4,5,6].
The parasitic fly, Blepharipa tibialis Chao (Diptera: Tachinidae), is an important economic pest that harms the larvae of A. pernyi. The damage rate by B. tibialis ranged from 20% to 70% in spring in the Liaoning production area (North China) [7]. In production practice, coumaphos (CAS No. 56-72-4), also known as Miecanying (Chinese trade name), has been selected as an internal organophosphorus insecticide that can kill the potential larvae of the parasitic flies inside the silkworm and save the larvae of A. pernyi at the safety concentration [8]. Coumaphos works by preventing the decomposition of acetylcholinesterase in insects, obstructing nerve transmission, and killing the insects [9,10,11]. The treatment of coumaphos at a higher concentration level has also neurotoxic effects on A. pernyi, which can result in poisoning symptoms, such as spewing gastric juice and refusing to climb trees [9]. Lepidopteran insects including numerous insect pests have evolved a great tolerance to insecticides [10,11,12,13]. The genes for glutathione S-transferase cytochrome (GST; EC 2.5.1.18), ATP-binding cassette transporter (ABC transporter), cytochrome P450 monooxygenase (CYP/P450), and carboxylesterase (COE; EC 3.1.1.1) are among those that are frequently more abundant in butterflies and moths. Numerous detoxification genes, including GSTs, ABC transporters, CYPs, and COEs, have been widely identified and functionally shown in Lepidoptera species as a result of the expansion of their transcriptomes and genomes [10,14,15,16,17,18]. However, little is known about the detoxification genes of A. pernyi as well as the detoxification mechanism for this species.
In this study, we present the identification and genomic analysis of the detoxification genes of A. pernyi using the first high-quality chromosome-scale assembled genome sequence [19]. This work provides a detailed analysis of the detoxification genes in the Chinese oak silkworm. We also used the transcriptomics approach to understand how coumaphos might change the gene expression patterns of the fat body of A. pernyi larvae and be linked with detoxification. The insect fat body is a loosely organized tissue that senses and monitors the timely delivery of nutrients to the insect body [20]. This tissue is a crucial component of insect metabolism, playing a role in immune regulation, growth and development, and metabolic detoxification [21]. The findings presented here may provide a better understanding of the molecular processes that contribute to antioxidation and detoxification during Chinese oak silkworm development following insecticide treatment.

2. Results

2.1. Genome-Wide Identification of Detoxification Genes in A. pernyi

Using the amino acid sequences of the domestic silkworm Bombyx mori detoxification genes [14] as queries, we identified 281 candidate detoxification genes, including 32 GST, 48 ABC, 104 CYP, and 97 COE genes, by performing a local TBLASTN and HMMER search against the genome sequence of A. pernyi [19]. Table 1 lists the four detoxification-related gene families for two silkworms, A. pernyi and B. mori [14], and four nocturnal lepidopteran pests, Spodoptera litura [10], Spodoptera frugiperda (corn and rice strains) [12], Helicoverpa armigera, and Helicoverpa zea [11]. We found that A. pernyi has a higher number of detoxification genes than B. mori, except for the ABC gene family. In addition, when comparing the number of detoxification genes, the ABC genes for S. frugiperda were not identified. This leads us to conclude that A. pernyi and B. mori have fewer detoxification genes than the four lepidopteran pests listed above. In Supplemental Table S1, the specific details of the identified genes are presented, including gene name, position on the genome, transcription direction, number of exons, size of amino acids, the theoretical isoelectric point (pI), molecular weight (Mw), and subcellular localization. Each subfamily gene was given a name based on where it is located on the chromosomes.
We visualized the distribution of detoxification genes on 49 chromosomes of A. pernyi to better understand how they are distributed across the genome. Each chromosome has detoxification genes, except for chromosomes 13, 14, and 17. The chromosomes involved in five or more detoxification genes are depicted in Figure 1A. Examination of the chromosomal locations of silkworm detoxification genes showed that these were dispersed irregularly across the genome. For example, six of the seven genes in the delta subfamily of GSTs were located on chromosome 40; more than half of the known CYPs were located on chromosomes 5, 15, 42, and 43, which include 10, 16, 10, and 20 genes, respectively. The basic characteristics of different detoxification proteins varied greatly (Table S1). Most (76/281) were 300−400 amino acids, and the molecular mass was generally 30−40 kDa. Isoelectric point (pI) had a wide span, ranging from 4.23 to 9.99 (Figure 1B). Subcellular localization analysis showed that detoxification proteins were mainly distributed in the endoplasmic reticulum, plasma membrane, cytoplasm, and peroxisome (Figure 1C).

2.2. Glutathione S-Transferase (GST) Genes

The GSTs are covalently attaching enzymes that improve the solubility of compounds and aid in their excretion by covalently joining tiny, endogenous hydrophilic molecules [22]. Based on their subcellular localizations, GSTs have been divided into three classes: cytosolic, microsomal, and mitochondrial GSTs [15]. Among them, insect cytosolic GSTs have been classified into six clades, with the first two being unique and insect-specific: delta (δ), epsilon (ε), omega (ω), sigma (σ), theta (θ), and zeta (ζ) [23]. A total of 32 GST genes, which encoded proteins ranging in length from 110 to 392 amino acids, were identified in the genome of A. pernyi (Table S1). Based on the phylogenetic analysis with B. mori GST genes, the 32 A. pernyi GST genes were also divided into six various cytosolic classes: 7 in delta, 13 in epsilon, 4 in omega, 5 in sigma, 1 in theta, and 1 in zeta class; one gene that could not be easily assigned within one of the known classes was labeled as “unclassified” (Figure 2A; Table S1). We deduced from the phylogenetic tree that this unclassified gene is most closely related to the delta class, followed by the theta class. Compared with the GST genes of B. mori (n = 23), those of A. pernyi (n = 32) expanded. These expanded GST genes came from delta (n = 3), epsilon (n = 5), and sigma (n = 3).
By determining the conserved motifs and domains, we found five conserved motifs, considered Motifs 1–5, in all of the GST proteins of A. pernyi (ApGSTs in the following). Most delta class and epsilon class branches had Motifs 1–5, while the zeta class did not have Motif 2. Most omega class branches had Motif 1, Motif 4, and Motif 5; most sigma class branches only had Motif 4 and Motif 5 (Figure 2A,B). Although the composition and number of motifs differed among different proteins, the motifs within most classes were similar. In addition, we discovered a total of 12 domains in ApGSTs, which are GST_C_Delta_Epsilon, GST_N_Delta_Epsilon, GstA, Thioredoxin_like superfamily, GST_C_family superfamily, GST_C_Theta, GST_N_Theta, maiA, maiA subfamily, GST_N_Sigma_like, GST_C_Sigma_like, and PTZ00057 superfamily (Figure 2C). At least one of the aforementioned domains was present in each ApGST. This further demonstrated that the GST family memberships were discovered in this investigation. In summary, similar conserved motifs and functional domains in the same classes forcefully back up phylogenetic analysis for classification.

2.3. ABC Transporter Genes

The ABC transporters are among the largest families of transmembrane proteins [24]. Based on the similarity of ATP-binding site sequences, eukaryotic ABC transporters may be divided into eight subfamilies (ABCA-ABCH), seven of which (ABCA-ABCG) are presented in the human genome. The genome of the fruit fly, Drosophila melanogaster, contains the first definition of the eighth subfamily (ABCH) [24]. A total of 48 ABC transporter genes were identified in the A. pernyi genome. Based on the phylogenetic analysis with B. mori ABC transporter genes, the 48 A. pernyi ABC transporters (ApABCs in the following) were grouped into eight subfamilies (A-H): 11 in the A subfamily, 7 in the B subfamily, 8 in the C subfamily, 3 in the D subfamily, 1 in the E subfamily, 2 in the F subfamily, 15 in the G subfamily, and 1 in the H subfamily (Figure 3A; Table S1). The number of ABC transporter genes in A. pernyi (n = 48) was comparable to that in B. mori (n = 52). The compression of the ABC transporter gene number came from ABCB, ABCC, ABCF, ABCG, and ABCH subfamilies, whereas the expansion mainly occurred in the ABCA subfamily (A. pernyi (n = 11) vs. B. mori (n = 7)).
The five conserved motifs were identified in ApABCs and referred to as Motifs 1–5 (Figure 3B; Table S1). In addition, we discovered a total of 31 domains in all of the ApABC transporter proteins as we investigated the conserved domains and motifs in ApABCs, such as ABC_MTABC3_MDL1_MDL2, ABC_6TM_exporters superfamily, ABC2_membrane_3, and ABC_subfamily_A (Figure 3C). The composition and order of the conserved motifs and domains within every subfamily were similar. For example, the motifs of most members of the ABCB and ABCC subfamilies showed the following arrangement: Motif 2–Motif 5–Motif 3–Motif 1–Motif 4.

2.4. Cytochrome P450 (CYP) Genes

The CYPs carry out the oxidative metabolism of several endogenous and exogenous substances. Before the class Insecta diverged, there were four large clades of insect CYPs that are represented by the CYP family in vertebrates as well: CYP2, CYP3, CYP4, and the mitochondrial (Mito) CYP clades [25]. The members of each clade share over 40% amino acid (AA) identities [26,27]. In the genome of A. pernyi, a total of 104 functional CYPs were identified and described. Based on the blast results of NCBI and the phylogenetic analysis with B. mori CYPs, these genes were classified into four clades: 5 in CYP2 Clade, 57 in CYP3 Clade, 30 in CYP4 Clade, and 12 in Mito Clade (Figure 4A; Table S1). The total number of A. pernyi CYP genes (n = 104) is larger than that of B. mori (n = 83). The expansion of CYP genes has occurred in Clade 3 (A. pernyi (n = 57) vs. B. mori (n = 31)) while the compression has occurred in Clade 2 (A. pernyi (n = 5) vs. B. mori (n = 7)) and Clade 4 (A. pernyi (n = 30) vs. B. mori (n = 34)).
We further identified the conserved motifs and domains in CYPs of A. pernyi. MEME analysis [28] identified five conserved motifs in A. pernyi CYPs, which were referred to as Motifs 1–5 (Figure 4B). In Figure S1, the specific details of the conserved motifs are provided. It was found that 92 of the total 183 silkworm CYPs had Motifs 1–5 at the same time. We discovered that only 15 domains (such as CYP6-like, CYP4, CYP450 superfamily, CYP24A1-like, and CYP1_2-like) were shared by all A. pernyi CYP proteins (Figure 4B). Every gene that was found contained at least one domain, further proving that all 104 genes were members of the CYP family. In other words, functional domains and conserved motifs within a single subfamily strongly support subfamily classifications based on phylogenetic analysis.

2.5. Carboxylesterase (COE) Genes

The COEs are mainly attributed to B esterases, which were virtually irreversibly inhibited by organophosphate insecticides (OPs) [29,30,31]. Based on sequence similarity and substrate specificity, the insect COE gene sequences were divided into eight subfamilies, namely α-esterase (ae), β-esterase (be), juvenile hormone esterase (jhe), integument esterase (ie), gliotactin (gli), acetylcholinesterase (ace, AChE), neurotactin (nrt), and neuroligin (nlg) class [32]. A total of 97 functional COE genes were identified and characterized in the A. pernyi genome. These genes can be divided into the eight subfamilies listed: 67 in the ae, 2 in the be, 5 in the jhe, 9 in the ie, 4 in the gli, 2 in the AChE, 2 in the nrt, and 6 in the nlg subfamily (Table S1). The results of the phylogenetic analysis of the COE genes from A. pernyi and B. mori are displayed in Figure 5A. The number of COEs in the A. pernyi genome was expanded to the 87 COE genes recently reported in B. mori [14]. The expansion of COE genes has occurred in ae subfamily (A. pernyi (n = 67) vs. B. mori (n = 55)), gli subfamily (A. pernyi (n = 4) vs. B. mori (n = 1)), and ie subfamily (A. pernyi (n = 9) vs. B. mori (n = 2)). We found that gene duplication events have occurred in the ae subfamily of COE genes after the divergence of the two silkworms; examples include Apae45-50 and Bmae4-11.
In general, five conserved motifs were found in the COE proteins of A. pernyi (ApCOE in the following) and considered Motifs 1–5 (Figure 5B and Figure S1). We discovered that most ApCOE proteins contained at least one conserved motif. The order of these motifs was mostly Motif 3–Motif 5–Motif 1–Motif 4–Motif 2. We discovered a total of 29 domains in ApCOEs to further determine the functional domains in ApCOEs (Figure 5C). Most of ApCOEs had domains from the Abhydrolase superfamily or COesterase, proving that the proteins found are the COE gene family members.

2.6. Expression Patterns of Detoxification Genes Associated with Coumaphos Stress

Lepidopteran insects include numerous insect pests that have evolved a significant resistance to insecticides [10,12]. Chinese oak silkworm, which lives in the field during the whole larval stage and may have more resilience to hardship, is distinct from the domestic model insect B. mori. We performed a transcriptome study on the fat body of larvae that had been exposed to coumaphos to comprehend how important detoxification genes of A. pernyi respond to coumaphos. Transcriptomic sequencing data were generated utilizing 16 fat body cDNA libraries (coumaphos/ultrapure water treatment). After eliminating adapters, ambiguous nucleotides, and low-quality sequences, we obtained 36,163,814–46,894,904 clean reads from the fat body transcriptomes of A. pernyi. Clean sequencing data spanning 5.71–6.61 Gbp were produced with a Q30 range of 94.13–94.78%. An overview of the sequencing and assembly process is presented in Supplemental Table S2. The sequence information for A. pernyi fat bodies has been deposited in the NCBI Sequence Read Archive (SRA) database under accession numbers SRR21609102-117 and is linked to the Bioproject PRJNA879970.
Based on heatmap analysis, we found that 190 detoxification genes (24 GSTs, 42 ABCs, 68 CYPs, and 56 COEs) were expressed in the larval fat body of the fifth instar (Figure 6D). However, only the GSTs1 gene from the GST family, the ABCE1 gene from the ABC family, two genes from the CYP family (CYP337A2, and CYP6B1), and three genes from the COE family (ae67, be1, and jhe3) were highly expressed in larvae exposed to coumaphos.
The differentially expressed genes (DEGs) were further obtained to examine the transcriptomic alterations caused by the coumaphos treatment. We observed increased expression of 94 genes and decreased expression of 69 genes at 3 h after coumaphos treatment, as well as increased expression of 121 genes and decreased expression of 138 genes at 24 h after treatment (Figure 6A; Supplemental Table S3). GO functional enrichment analysis of the up-regulated genes revealed that there were significant alterations between the coumaphos treatment group and the control group in the pathways related to ATPase complex function, as well as the transporter complex (Figure 6B). KEGG functional enrichment analysis of the up-regulated genes revealed that protein processing in the endoplasmic reticulum was the most affected pathway differing between the coumaphos treatment and control groups. Further, there were significant alterations in the pathways for the longevity regulating pathway, as well as the antigen processing and presentation pathway (Figure 6C). Meanwhile, we also conducted GO and KEGG functional enrichment analysis on all DEGs in the treatment group compared to the control group, and the results were consistent with the study that only included up-regulated genes (Figure S2).
Finally, we focused on screening genes related to detoxification in the DEGs, and only five genes were found. The ae43 gene belonging to the COE family was significantly up-regulated in the detoxification gene families after 3 h of coumaphos treatment, whereas CYP6AE9 belonging to the CYP family was significantly down-regulated, and ABCB1, ABCB3, and ABCG11 genes belonging to the ABC family were significantly up-regulated after 24 h of treatment.

3. Discussion

In this study, for the first time, we characterized 281 detoxification genes of A. pernyi that were irregularly located on 46 chromosomes and may be involved in detoxifying a range of insecticide chemicals. Based on the phylogenetic tree and HMMER searches, these detoxification genes were grouped into four families, consisting of 32 GSTs, 48 ABCs, 104 CYPs, and 97 COEs. According to the functional domains and conserved motif analysis, these detoxification genes exhibited apparent differences in four families. To study how significant detoxification genes in the fat body of A. pernyi larvae respond to coumaphos, a transcriptome analysis was performed. The larvae at day 5 of the fifth instar were submerged in coumaphos solution at a mass concentration of 0.025% for 10 s as the treatment group. Ultrapure water was used for the control group. Compared the treatment and control groups, we discovered that the DEGs ae43, ABCB1, ABCB3, and ABCG11 can be used as potential target genes for further study to explore the underlying molecular mechanisms of detoxification genes involved in resistance towards insecticides in A. pernyi. The ABC family can be regarded as an important pathway in the ongoing study of A. pernyi resistance.
We found that the two silkworms A. pernyi and B. mori have fewer detoxification genes when compared to four nocturnal lepidopteran pests. Several biological characteristics of silkworms may provide clues related to this finding. First, the two silkworms have overly specialized feeding patterns, compared to the four nocturnal pests with various feeding habits and voracious appetites [1,10,11,12]. Rarely do silkworms undergo adaptative changes and subsequent selection of gene expansions due to human domestication. In addition, silkworms lack extensive migratory ability and are rarely exposed to pesticides and plant allelochemicals compared to the other four pests, which may partly limit the expansion of detoxification genes [10,11,12]. Their evolution rate of detoxification-related genes is slower than that of the four pests, and even slightly degenerates. Due to the significant economic value of the two silkworms, no artificial insecticides or pheromones were used on them; hence, there was no selective pressure on evolution. The safe concentration (0.025%) of coumaphos for oak silkworm was employed in this study, under which just the parasitic fly larvae were killed. This also can explain why there are less significant differentially expressed genes in the transcriptional profile between the control and treatment groups. However, with the help of this research, we can more precisely identify the detoxification genes that respond to the coumaphos treatment.
To understand how significant detoxification genes of A. pernyi respond to coumaphos, we performed transcriptome research on the fat body treated with coumaphos at two time points. Our study revealed that only five genes (ae43, CYP6AE9, ABCB1, ABCB3, and ABCG11) were significantly regulated in the detoxification gene families between the control and treatment groups. The up-regulation of ABCB1, ABCB3, and ABCG11 was consistent with previous studies, which reported the detoxification of ABCB and ABCG families in diverse species in response to various types of insecticide [33,34]. The members of the CYP6 subfamily were likewise down-regulated in the oriental fruit moth (Grapholita molesta) after 24 h of exposure to three insecticides (malation, deltamethrin, and chlorantraniliprole), demonstrating that the expression of these genes may be inhibited by insecticides over time [35]. In general, ae43, ABCB1, ABCB3, and ABCG11 genes can be employed as prospective targets of lepidopteran pests for further research. Based on GO enrichment function analysis, the top four affected pathways were all related to the ATPase complex. Therefore, we speculated that the ABC family can be regarded as an essential pathway in the follow-up investigation of A. pernyi detoxification ability.
GSTs are vital detoxification enzymes involved in the protection against organophosphorus insecticides in insects [36,37]. Recent studies have disclosed the role of specific GST genes in insecticide detoxification in the Lepidoptera Cydia pomonella [38]. Elevated GST activities in A. pernyi fat body have been associated with the detoxification of coumaphos [9], as previously observed in most insects [39]. However, we did not observe the significant up-regulation of GST genes in A. pernyi fat body when the larvae were exposed to coumaphos under a safe concentration. This discrepancy might be explained by the low safety concentration we utilized, which did not result in the lethal dosage for the oak silkworms. In future trials, we will use higher concentrations of coumaphos or other chemicals that affect GSTs.
In the honey bee, Apis mellifera, the up-regulation of CYP9Q3 plays a key role in the detoxification of coumaphos [40,41]. However, we did not find its homolog in the genomes of A. pernyi and B. mori. This indicates a difference in detoxification mechanisms between silkworms and bees exposed to coumaphos. Further examination of our data revealed a large number of DEGs, the majority of which were unable to distinguish significantly (p > 0.05) between the control and treatment groups. The safe concentration of coumaphos for oak silkworm might be responsible for this. A. pernyi grows naturally in the wild, and it is challenging to synchronize its individual development. Moreover, the individual response degree will also differ significantly upon treatment with coumaphos. In the follow-up investigation, we will also pay appropriate attention to the genes with large multiples of difference to uncover any potential detoxification-related target genes of lepidopteran insects.

4. Materials and Methods

4.1. Identification of A. pernyi Detoxification Genes

To search for the putative detoxification genes of A. pernyi, the GST, ABC transporter, CYP, and COE protein sequences of the domestic silkworm B. mori [14] were downloaded from GenBank (ncbi.nlm.nih.gov/, accessed on 29 March 2023) and used as queries to perform local TBLASTN and BLASTP using the BLAST+ v2.10.1 tool [42] against A. pernyi genomic data [19], with an E-value threshold of 10−6. The genomic information for A. pernyi was downloaded from Genome Warehouse (GWH) in the National Genomics Data Center (NGDC), Beijing Institute of Genomics (BIG), Chinese Academy of Sciences, with accession number GWHABGR00000000 (https://ngdc.cncb.ac.cn/gwh/, accessed on 20 January 2023) [19]. Potential detoxification genes were further evaluated by HMMER v3.3.2 [43] using a search against the Pfam database (pfam.xfam.org, accessed on 22 Febrary 2023) [44], and the genes with a conserved essential for each gene family were extracted. The theoretical isoelectric point (pI) and molecular weight (MW) were computed using Expasy (https://www.expasy.org/, accessed on 22 Febrary 2023) [45].

4.2. Phylogenetic Reconstruction

All of the amino acid sequences for the detoxification genes from A. pernyi and B. mori were aligned using Clustal Omega (https://www.ebi.ac.uk/Tools/msa/clustalo/, accessed on 26 Febrary 2023) [46]. Using the alignment data of the known genes, each identified gene was manually examined and corrected as necessary. The phylogenetic trees were reconstructed with MEGA version X using the neighbor-joining method [47,48], with Poisson correction of distances and boot-strap replications set at 1000. The obtained phylogenetic trees were opened and visualized with Interactive Tree Of Life (iTOL; https://itol.embl.de/, accessed on 26 Febrary 2023) [49].

4.3. Analysis of the Conserved Domains and Motifs

The amino acid sequences of the identified detoxification genes of A. pernyi were used for subsequent analysis of the conserved domains and motifs. We utilized the Conserved Domain Database of the National Center for Biotechnology Information (NCBI; https://www.ncbi.nlm.nih.gov/Structure/bwrpsb/bwrpsb.cgi, accessed on 26 Febrary 2023) website [50] to determine the conserved domain by analyzing the amino acid sequences of all candidate genes. Protein motifs were determined by Multiple Em for Motif Elicitation (MEME; https://meme-suite.org/meme/tools/meme, accessed on 26 Febrary 2023) [28]. The number of motifs was set to 5, and other parameters were the default parameters. The visualization of domains and motifs was developed using TBtools [51].

4.4. RNA-Seq Sample Collection and Illumina Sequencing

The strain Jiaolan of A. pernyi was chosen because its complete genome sequence has been published [19] and is more suitable for analyzing gene expression patterns. The strain is maintained at the Oak Silkworm Base of the Department of Sericulture, Shenyang Agricultural University, Liaoning, China. The larvae were reared on the oak tree (Quercus) in the field from early May to late June under natural conditions, with a protective net to repel birds. To prevent alterations in the detoxification genes caused by the rhythm, twenty-four larvae on day 5 of the fifth instar were selected in the early morning and divided into two groups, the control and treatment groups. The larvae of the treatment group were submerged in coumaphos solution (trade name Miecanying 4, kindly provided by Liaoning Fenghuang Silkworm Medicine Plant, Fengcheng, China) at a mass concentration of 0.025% for 10 s according to the manufacturer’s protocol. Ultrapure water was used as the treatment for the control group. The treated larvae were still placed on the Quercus tree for rearing. After the larvae had been treated for 3 and 24 h [9], the fat bodies were carefully collected, and total RNA was isolated using TRIzol (Beijing Sinogene, China). For sampling, four individuals without significant differences in body weight between the two groups were selected. Personal Biotechnology Co., Ltd., in Nanjing, China completed the library preparation and sequencing of samples. The cDNA library was sequenced on the Illumina HiSeq 2500 sequencing platform using the paired-end technique (2 × 150 bp reads). The sequenced fragments had an average length of 380 base pairs. High-quality clean reads were obtained by the removal of adapters and poor-quality sequences before mapping. Clean reads from each sample were mapped to the A. pernyi genome [19] (accession number GWHABGR00000000; available at bigd.big.ac.cn/gwh/, accessed on 20 January 2023) using HISAT2 software v2.2.1 [52], and then HTSeq was used to count the reads that were mapped and calculate the FPKM (fragments per kilobase of exon per million fragments mapped) value of each gene [53]. N50 and mean lengths of the transcripts associated with each sample were calculated. High-quality samples, sequences, and assemblies were indicated by the values for N50 length and mean length for the samples. The Deseq2 software v1.30.0 was used to perform DEG analysis at the threshold of the absolute value of log2(Fold Change) > 1 and p value < 0.05. The visualization was processed by using R packages [54].

5. Conclusions

This study provided the first overview of the detoxification gene set for wild silkworms, which include ~3400 species of Saturniidae and have significant economic importance due to their exceptional-quality fibers and aesthetic and edible values. In the genome of A. pernyi, we identified 281 detoxification genes (32 GSTs, 48 ABCs, 104 CYPs, and 97 COEs) with an uneven distribution over 46 chromosomes. Our findings indicated that, except for the ABC family, the semi-domesticated insect A. pernyi had a higher number of detoxification genes than the Lepidoptera model B. mori. The transcriptome sequencing of the fat body of A. pernyi larvae also provided a new perspective for us in searching for potential genes related to the detoxification of Lepidopteran insects. Further studies involving RNA interference or gene knockout of potential target genes would determine their contribution to the detoxification of coumaphos. Such a deeper understanding through genomics and transcriptomics will lay a foundation for exploring the underlying molecular mechanisms of detoxification genes involved in resistance towards insecticides in A. pernyi.

Supplementary Materials

The following supporting information can be downloaded at https://www.mdpi.com/article/10.3390/ijms24119775/s1.

Author Contributions

Conceptualization, H.-Y.C. and Y.-Q.L.; data curation, D.-B.C.; formal analysis, D.-B.C. and R.-X.X.; funding acquisition, H.-Y.C. and Y.-Q.L.; investigation, R.-X.X. and Q.L.; methodology, D.-B.C., R.-X.X. and Q.L.; resources, R.-X.X.; software, D.-B.C.; supervision, Y.-Q.L.; validation, D.-B.C., R.-X.X. and H.-Y.C.; writing—original draft, D.-B.C., R.-X.X. and H.-Y.C.; writing—review and editing, Y.-P.L. and Y.-Q.L. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the National Natural Science Foundation of China, grant numbers 31972617 and 31672493; the Applied Basic Research Program of Liaoning Province, grant number 2022JH2/101300178; and the China Agriculture Research System, grant number CARS-18.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Data are contained within the article or Supplementary Material.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Liu, Y.Q.; Li, Y.P.; Li, X.S.; Qin, L. The origin and dispersal of the domesticated Chinese oak silkworm, Antheraea pernyi, in China: A reconstruction based on ancient texts. J. Insect Sci. 2010, 10, 180. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. Li, W.L.; Zhang, Z.Y.; Lin, L.; Terenius, O. Antheraea pernyi (Lepidoptera: Saturniidae) and its importance in sericulture, food consumption, and traditional Chinese medicine. J. Econ. Entomol. 2017, 110, 1404–1411. [Google Scholar] [CrossRef] [PubMed]
  3. Li, X.Y.; Liu, Y.C.; Zhang, R.S.; Chen, D.B.; Chen, M.M.; Li, Y.P.; Liu, Y.Q.; Qin, L. The mitochondrial genome of Qinghuang_1, the first modern improved strain of Chinese oak silkworm, Antheraea pernyi (Lepidoptera: Saturniidae). J. Insects Food Feed 2021, 7, 233–243. [Google Scholar] [CrossRef]
  4. Liu, Q.N.; Zhu, B.J.; Wang, L.; Wei, G.Q.; Dai, L.S.; Lin, K.Z.; Sun, Y.; Qiu, J.F.; Fu, W.W.; Liu, C.L. Identification of immune response-related genes in the Chinese oak silkworm, Antheraea pernyi by suppression subtractive hybridization. J. Invertebr. Pathol. 2013, 114, 313–323. [Google Scholar] [CrossRef] [PubMed]
  5. Chen, M.; Chen, M.M.; Yao, R.; Li, Y.; Wang, H.; Li, Y.P.; Liu, Y.Q. Molecular cloning and characterization of two 12 kDa FK506-binding protein genes in the Chinese oak silkworm, Antheraea pernyi. J. Agric. Food Chem. 2013, 61, 4599–4605. [Google Scholar] [CrossRef]
  6. Xin, Z.Z.; Liu, Q.N.; Liu, Y.; Zhang, D.Z.; Wang, Z.F.; Zhang, H.B.; Ge, B.M.; Zhou, C.L.; Chai, X.Y.; Tang, B.P. Transcriptome-wide identification of differentially expressed genes in Chinese oak silkworm Antheraea pernyi in response to lead challenge. J. Agric. Food Chem. 2017, 65, 9305–9314. [Google Scholar] [CrossRef]
  7. Jiang, Y.R.; Qin, L. Prevention and control of the parasitic fly, Blepharipa tibialis Chao. Modern Agric. 2012, 6, 53. (In Chinese) [Google Scholar]
  8. Qin, L.; Li, S.Y. Sericulture of Chinese Oak Silkworm; China Agricultural Press: Beijing, China, 2017. [Google Scholar]
  9. Li, H.D.; Jia, P.; Shi, S.L.; Dong, X.G.; Zhao, S.W.; Li, S.Y.; Li, X.S.; Chen, Z.L. Influences of coumaphos on the activity of several physiological metabolic enzymes in Antheraea pernyi. Sci. Seric. 2015, 41, 486–490. (In Chinese) [Google Scholar]
  10. Cheng, T.C.; Wu, J.Q.; Wu, Y.Q.; Chilukuri, R.V.; Huang, L.H.; Yamamoto, K.; Feng, L.; Li, W.S.; Chen, Z.W.; Guo, H.Z.; et al. Genomic adaptation to polyphagy and insecticides in a major East Asian noctuid pest. Nat. Ecol. Evol. 2017, 1, 1747–1756. [Google Scholar] [CrossRef] [Green Version]
  11. Pearce, S.L.; Clarke, D.F.; East, P.D.; Elfekih, S.; Gordon, K.H.J.; Jermiin, L.S.; McGaughran, A.; Oakeshott, J.G.; Papanicolaou, A.; Perera, O.P.; et al. Genomic innovations, transcriptional plasticity and gene loss underlying the evolution and divergence of two highly polyphagous and invasive Helicoverpa pest species. BMC Biol. 2017, 15, 63. [Google Scholar] [CrossRef] [Green Version]
  12. Gouin, A.; Bretaudeau, A.; Nam, K.; Gimenez, S.; Aury, J.M.; Duvic, B.; Hilliou, F.; Durand, N.; Montagné, N.; Darboux, I.; et al. Two genomes of highly polyphagous lepidopteran pests (Spodoptera frugiperda, Noctuidae) with different host-plant ranges. Sci. Rep. 2017, 7, 11816. [Google Scholar] [CrossRef] [PubMed]
  13. You, M.S.; Yue, Z.; He, W.Y.; Yang, X.H.; Yang, G.; Xie, M.; Zhan, D.L.; Baxter, S.W.; Vasseur, L.; Gurr, G.M.; et al. A heterozygous moth genome provides insights into herbivory and detoxification. Nat. Genet. 2013, 45, 220–225. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  14. Kawamoto, M.; Jouraku, A.; Toyoda, A.; Yokoi, K.; Minakuchi, Y.; Katsuma, S.; Fujiyama, A.; Kiuchi, T.; Yamamoto, K.; Shimada, T. High-quality genome assembly of the silkworm, Bombyx mori. Insect Biochem. Mol. Biol. 2019, 107, 53–62. [Google Scholar] [CrossRef] [PubMed]
  15. Yu, Q.Y.; Lu, C.; Li, W.L.; Xiang, Z.H.; Zhang, Z. Annotation and expression of carboxylesterases in the silkworm, Bombyx mori. BMC Genomics 2009, 10, 553. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  16. Liu, S.M.; Zhou, S.; Tian, L.; Guo, E.E.; Luan, Y.X.; Zhang, J.Z.; Li, S. Genome-wide identification and characterization of ATP-binding cassette transporters in the silkworm, Bombyx mori. BMC Genomics 2011, 12, 491. [Google Scholar] [CrossRef] [Green Version]
  17. Xie, X.D.; Cheng, T.C.; Wang, G.H.; Duan, J.; Niu, W.H.; Xia, Q.Y. Genome-wide analysis of the ATP-binding cassette (ABC) transporter gene family in the silkworm, Bombyx mori. Mol. Biol. Rep. 2012, 39, 7281–7291. [Google Scholar] [CrossRef]
  18. Yu, Q.Y.; Lu, C.; Li, B.; Fang, S.M.; Zuo, W.D.; Dai, F.Y.; Zhang, Z.; Xiang, Z.H. Identification, genomic organization and expression pattern of glutathione S-transferase in the silkworm, Bombyx mori. Insect Biochem. Mol. Biol. 2008, 38, 1158–1164. [Google Scholar] [CrossRef]
  19. Duan, J.P.; Li, Y.; Du, J.; Duan, E.Z.; Lei, Y.Y.; Liang, S.M.; Zhang, X.; Zhao, X.; Kan, Y.C.; Yao, L.G.; et al. A chromosome-scale genome assembly of Antheraea pernyi (Saturniidae, Lepidoptera). Mol. Ecol. Resour. 2020, 20, 1372–1383. [Google Scholar] [CrossRef]
  20. Mirth, C.K.; Riddiford, L.M. Size assessment and growth control: How adult size is determined in insects. Bioessays 2007, 29, 344–355. [Google Scholar] [CrossRef]
  21. Peng, J.; Li, Z.; Yang, Y.; Wang, P.; Zhou, X.; Zhao, T.J.; Guo, M.P.; Meng, M.; Zhang, T.L.; Qian, W.L.; et al. Comparative transcriptome analysis provides novel insight into morphologic and metabolic changes in the fat body during silkworm metamorphosis. Int. J. Mol. Sci. 2018, 19, 3523. [Google Scholar] [CrossRef] [Green Version]
  22. Enayati, A.A.; Ranson, H.; Hemingway, J. Insect glutathione transferases and insecticide resistance. Insect Mol. Biol. 2005, 14, 3–8. [Google Scholar] [CrossRef] [Green Version]
  23. Sheehan, D.; Meade, G.; Foley, V.M.; Dowd, C.A. Structure, function and evolution of glutathione transferases: Implications for classification of non-mammalian members of an ancient enzyme superfamily. Biochem. J. 2001, 360, 1–16. [Google Scholar] [CrossRef] [PubMed]
  24. Schneider, E.; Hunke, S. ATP-binding-cassette (ABC) transport systems: Functional and structural aspects of the ATP-hydrolyzing subunits/domains. FEMS Microbiol. Rev. 1998, 22, 1–20. [Google Scholar] [CrossRef] [PubMed]
  25. Nauen, R.; Bass, C.; Feyereisen, R.; Vontas, J. The role of cytochrome P450s in insect toxicology and resistance. Annu. Rev. Entomol. 2022, 67, 105–124. [Google Scholar] [CrossRef] [PubMed]
  26. Dermauw, W.; Van, L.T.; Feyereisen, R. Diversity and evolution of the P450 family in arthropods. Insect Biochem. Mol. Biol. 2020, 127, 103490. [Google Scholar] [CrossRef] [PubMed]
  27. Nelson, D.R. Cytochrome P450 diversity in the tree of life. Biochim. Biophys. Acta Proteins Proteom. 2018, 1866, 141–154. [Google Scholar] [CrossRef]
  28. Bailey, T.L.; Johnson, J.; Grant, C.E.; Noble, W.S. The MEME suite. Nucleic Acids Res. 2015, 43, W39–W49. [Google Scholar] [CrossRef] [Green Version]
  29. Satoh, T.; Hosokawa, M. The mammalian carboxylesterases: From molecules to functions. Annu. Rev. Pharmacol. Toxicol. 1998, 38, 257–288. [Google Scholar] [CrossRef]
  30. Bornscheuer, U.T. Microbial carboxyl esterases: Classification, properties and application in biocatalysis. FEMS Microbiol. Rev. 2002, 26, 73–81. [Google Scholar] [CrossRef]
  31. Marshall, S.D.G.; Putterill, J.J.; Plummer, K.M.; Newcomb, R.D. The carboxylesterase gene family from Arabidopsis thaliana. J. Mol. Evol. 2003, 57, 487–500. [Google Scholar]
  32. Ranson, H.; Claudianos, C.; Ortelli, F.; Abgrall, C.; Hemingway, J.; Sharakhova, M.V.; Unger, M.F.; Collins, F.H.; Feyereisen, R. Evolution of supergene families associated with insecticide resistance. Science 2002, 298, 179–181. [Google Scholar] [CrossRef]
  33. Sun, H.; Pu, J.; Chen, F.; Wang, J.; Han, Z. Multiple ATP-binding cassette transporters are involved in insecticide resistance in the small brown planthopper, Laodelphax striatellus. Insect Mol. Biol. 2017, 26, 343–355. [Google Scholar] [CrossRef] [PubMed]
  34. Li, J.Y.; Lv, Y.T.; Yan, K.P.; Yang, F.T.; Chen, X.W.; Gao, X.W.; Wen, S.Y.; Xu, H.F.; Pan, Y.O.; Shang, Q.L. Functional analysis of cyantraniliprole tolerance ability mediated by ATP-binding cassette transporters in Aphis gossypii glover. Pestic. Biochem. Physiol. 2022, 184, 105104. [Google Scholar] [CrossRef]
  35. Han, H.; Yang, Y.Y.; Hu, J.; Wang, Y.X.; Zhao, Z.G.; Ma, R.Y.; Gao, L.L.; Guo, Y.Q. Identification and characterization of CYP6 family genes from the oriental fruit moth (Grapholita molesta) and their responses to insecticides. Insects 2022, 13, 300. [Google Scholar] [CrossRef] [PubMed]
  36. Kostaropoulos, I.; Papadopoulos, A.I.; Metaxakis, A.; Boukouvala, E.; Papadopoulou-Mourkidou, E. The role of glutathione S-transferases in the detoxification of some organophosphorus insecticides in larvae and pupae of the yellow mealworm, Tenebrio molitor (Coleoptera: Tenebrionidae). Pest Manag. Sci. 2001, 57, 501–508. [Google Scholar] [CrossRef]
  37. Zhou, L.; Fang, S.M.; Huang, K.; Yu, Q.Y.; Zhang, Z. Characterization of an epsilon-class glutathione S-transferase involved in tolerance in the silkworm larvae after long term exposure to insecticides. Ecotoxicol. Environ. Saf. 2015, 120, 20–26. [Google Scholar] [CrossRef]
  38. Hu, C.; Liu, J.Y.; Wang, W.; Mota-Sanchez, D.; He, S.; Shi, Y.; Yang, X.Q. Glutathione S-transferase genes are involved in lambda-cyhalothrin resistance in Cydia pomonella via sequestration. J. Agric. Food Chem. 2022, 70, 2265–2279. [Google Scholar] [CrossRef] [PubMed]
  39. Ranson, H.; Rossiter, L.; Ortelli, F.; Jensen, B.; Wang, X.; Roth, C.W.; Collins, F.H.; Hemingway, J. Identification of a novel class of insect glutathione S-transferases involved in resistance to DDT in the malaria vector Anopheles gambiae. Biochem. J. 2002, 359, 295–304. [Google Scholar] [CrossRef]
  40. Mao, W.F.; Schuler, M.A.; Berenbaum, M.R. Honey constituents up-regulate detoxification and immunity genes in the western honey bee Apis mellifera. Proc. Natl. Acad. Sci. USA 2013, 110, 8842–8846. [Google Scholar] [CrossRef] [Green Version]
  41. Siebert, S.C.; Kanga, L.H.B.; Basha, S.M.; Legaspi, J.C. Molecular assessment of genes linked to immune response traits of honey bees in conventional and organically managed apiaries. Insects 2020, 11, 637. [Google Scholar] [CrossRef]
  42. Camacho, C.; Coulouris, G.; Avagyan, V.; Ma, N.; Papadopoulos, J.; Bealer, K.; Madden, T.L. BLAST+: Architecture and applications. BMC Bioinformatics 2019, 10, 421. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  43. Mistry, J.; Finn, R.D.; Eddy, S.R.; Bateman, A.; Punta, M. Challenges in homology search: HMMER3 and convergent evolution of coiled-coil regions. Nucleic Acids Res. 2013, 41, e121. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  44. Finn, R.D.; Bateman, A.; Clements, J.; Coggill, P.; Eberhardt, R.Y.; Eddy, S.R.; Heger, A.; Hetherington, K.; Holm, L.; Mistry, J.; et al. Pfam: The protein families database. Nucleic Acids Res. 2014, 42, D222–D230. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  45. Wilkins, M.R.; Gasteiger, E.; Bairoch, A.; Sanchez, J.Z.; Williams, K.L.; Appel, R.D.; Hochstrasser, D.F. Protein identification and analysis tools in the ExPASy server. Methods Mol. Biol. 1999, 112, 531–552. [Google Scholar] [PubMed]
  46. Madeira, F.; Park, Y.M.; Lee, J.; Buso, N.; Gur, T.; Madhusoodanan, N.; Basutkar, P.; Tivey, A.R.N.; Potter, S.C.; Finn, R.D.; et al. The EMBL-EBI search and sequence analysis tools APIs in 2019. Nucleic Acids Res. 2019, 47, W636–W641. [Google Scholar] [CrossRef] [Green Version]
  47. Kumar, S.; Stecher, G.; Li, M.; Knyaz, C.; Tamura, K. MEGA X: Molecular evolutionary genetics analysis across computing platforms. Mol. Biol. Evol. 2018, 35, 1547–1549. [Google Scholar] [CrossRef]
  48. Saitou, N.; Nei, M. The neighbor-joining method: A new method for reconstructing phylogenetic trees. Mol. Biol. Evol. 1987, 4, 406–425. [Google Scholar]
  49. Letunic, I.; Bork, P. Interactive Tree of Life (iTOL) v5: An online tool for phylogenetic tree display and annotation. Nucleic Acids Res. 2021, 49, W293–W296. [Google Scholar] [CrossRef]
  50. Yang, M.Z.; Derbyshire, M.K.; Yamashita, R.A.; Marchler-Bauer, A. NCBI’s conserved domain database and tools for protein domain analysis. Curr. Protoc. Bioinformatics 2020, 69, e90. [Google Scholar] [CrossRef] [Green Version]
  51. Chen, C.J.; Chen, H.; Zhang, Y.; Thomas, H.R.; Frank, M.H.; He, Y.H.; Xia, R. TBtools: An integrative toolkit developed for interactive analyses of big biological data. Mol. Plant 2020, 13, 1194–1202. [Google Scholar] [CrossRef]
  52. Kim, D.; Paggi, J.M.; Park, C.; Bennett, C.; Salzberg, S.L. Graph-based genome alignment and genotyping with HISAT2 and HISAT-genotype. Nat. Biotechnol. 2019, 37, 907–915. [Google Scholar] [CrossRef] [PubMed]
  53. Anders, S.; Pyl, P.T.; Huber, W. HTSeq-a Python framework to work with high-throughput sequencing data. Bioinformatics 2015, 31, 166–169. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  54. R Core Team. R: A Language and Environment for Statistical Computing; R Foundation for Statistical Computing: Vienna, Austria, 2022; Available online: https://www.R-project.org/ (accessed on 26 February 2023).
Figure 1. Identification and statistical analysis of the basic physicochemical characteristics of detoxification gene family members in A. pernyi. (A) The chromosomal locations of detoxification genes in the A. pernyi genome. The length of each chromosome is drawn to scale. Each family of detoxification genes is distinguished by a different color. Only those genes involved in five or more detoxification genes on the same chromosomes are shown. (B) Protein length, isoelectric point, and molecular mass of A. pernyi detoxification genes. (C) Subcellular localization of detoxification genes in A. pernyi.
Figure 1. Identification and statistical analysis of the basic physicochemical characteristics of detoxification gene family members in A. pernyi. (A) The chromosomal locations of detoxification genes in the A. pernyi genome. The length of each chromosome is drawn to scale. Each family of detoxification genes is distinguished by a different color. Only those genes involved in five or more detoxification genes on the same chromosomes are shown. (B) Protein length, isoelectric point, and molecular mass of A. pernyi detoxification genes. (C) Subcellular localization of detoxification genes in A. pernyi.
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Figure 2. The phylogenetic and structural analysis of GST members. (A) The phylogenetic tree was constructed with the amino acid sequence of GSTs from A. pernyi (ApGSTs) and B. mori (BmGSTs). The numbers close to the nodes specify the bootstrap value for the clades. (B) The motif structure of ApGSTs and BmGSTs. (C) The domain structure of ApGSTs and BmGSTs.
Figure 2. The phylogenetic and structural analysis of GST members. (A) The phylogenetic tree was constructed with the amino acid sequence of GSTs from A. pernyi (ApGSTs) and B. mori (BmGSTs). The numbers close to the nodes specify the bootstrap value for the clades. (B) The motif structure of ApGSTs and BmGSTs. (C) The domain structure of ApGSTs and BmGSTs.
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Figure 3. The phylogenetic and structural analysis of ABC members. (A) The phylogenetic tree was constructed with the amino acid sequence of ABCs from A. pernyi (ApABCs) and B. mori (BmABCs). The numbers close to the nodes specify the bootstrap value for the subfamilies. (B) The motif structure of ApABCs and BmABCs. (C) The domain structure of ApABCs and BmABCs.
Figure 3. The phylogenetic and structural analysis of ABC members. (A) The phylogenetic tree was constructed with the amino acid sequence of ABCs from A. pernyi (ApABCs) and B. mori (BmABCs). The numbers close to the nodes specify the bootstrap value for the subfamilies. (B) The motif structure of ApABCs and BmABCs. (C) The domain structure of ApABCs and BmABCs.
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Figure 4. The phylogenetic and structural analysis of CYP members. (A) The phylogenetic tree was constructed with the amino acid sequence of CYPs from A. pernyi (ApCYPs) and B. mori (BmCYPs). The numbers close to the nodes specify the bootstrap value for the subfamilies. (B) The motif structure of ApCYPs and BmCYPs. (C) The domain structure of ApCYPs and BmCYPs.
Figure 4. The phylogenetic and structural analysis of CYP members. (A) The phylogenetic tree was constructed with the amino acid sequence of CYPs from A. pernyi (ApCYPs) and B. mori (BmCYPs). The numbers close to the nodes specify the bootstrap value for the subfamilies. (B) The motif structure of ApCYPs and BmCYPs. (C) The domain structure of ApCYPs and BmCYPs.
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Figure 5. The phylogenetic and structural analysis of COE members. (A) The phylogenetic tree was constructed with the amino acid sequence of COEs from A. pernyi (ApCOEs) and B. mori (BmCOEs). The numbers close to the nodes specify the bootstrap value for the subfamilies. (B) The motif structure of ApCOEs and BmCOEs. (C) The domain structure of ApCOEs and BmCOEs.
Figure 5. The phylogenetic and structural analysis of COE members. (A) The phylogenetic tree was constructed with the amino acid sequence of COEs from A. pernyi (ApCOEs) and B. mori (BmCOEs). The numbers close to the nodes specify the bootstrap value for the subfamilies. (B) The motif structure of ApCOEs and BmCOEs. (C) The domain structure of ApCOEs and BmCOEs.
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Figure 6. Expression profiles of detoxification genes in A. pernyi larvae exposed to coumaphos. (A) Plot of significantly differentially expressed genes (DEGs) in the treatment group compared to the control group (3 h, left; 24 h, right; red, up-regulated; blue, down-regulated; black, no difference). (B) GO functional enrichment analysis of A. pernyi up-regulated genes. (C) KEGG functional enrichment analysis of A. pernyi up-regulated genes. (D) Transcription expression heatmap of detoxification genes induced by coumaphos in A. pernyi larvae. CK, control; T, coumaphos treatment.
Figure 6. Expression profiles of detoxification genes in A. pernyi larvae exposed to coumaphos. (A) Plot of significantly differentially expressed genes (DEGs) in the treatment group compared to the control group (3 h, left; 24 h, right; red, up-regulated; blue, down-regulated; black, no difference). (B) GO functional enrichment analysis of A. pernyi up-regulated genes. (C) KEGG functional enrichment analysis of A. pernyi up-regulated genes. (D) Transcription expression heatmap of detoxification genes induced by coumaphos in A. pernyi larvae. CK, control; T, coumaphos treatment.
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Table 1. Comparison of the number of detoxification genes from six insect species. “NA” denotes ABC transporter genes that were not shown in the literature.
Table 1. Comparison of the number of detoxification genes from six insect species. “NA” denotes ABC transporter genes that were not shown in the literature.
SpeciesGSTsABCsCYPsCOEsTotal References
Antheraea pernyi324810497281This study
Bombyx mori23528387245[14]
Spodoptera litura4754138110349[10]
Spodoptera frugiperda
(corn/rice strain)
46/45NA/NA117/13593/90256/270[12]
Helicoverpa armigera425411497307[11]
Helicoverpa zea405410893295[11]
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Chen, D.-B.; Xia, R.-X.; Li, Q.; Li, Y.-P.; Cao, H.-Y.; Liu, Y.-Q. Genome-Wide Identification of Detoxification Genes in Wild Silkworm Antheraea pernyi and Transcriptional Response to Coumaphos. Int. J. Mol. Sci. 2023, 24, 9775. https://doi.org/10.3390/ijms24119775

AMA Style

Chen D-B, Xia R-X, Li Q, Li Y-P, Cao H-Y, Liu Y-Q. Genome-Wide Identification of Detoxification Genes in Wild Silkworm Antheraea pernyi and Transcriptional Response to Coumaphos. International Journal of Molecular Sciences. 2023; 24(11):9775. https://doi.org/10.3390/ijms24119775

Chicago/Turabian Style

Chen, Dong-Bin, Run-Xi Xia, Qun Li, Yu-Ping Li, Hui-Ying Cao, and Yan-Qun Liu. 2023. "Genome-Wide Identification of Detoxification Genes in Wild Silkworm Antheraea pernyi and Transcriptional Response to Coumaphos" International Journal of Molecular Sciences 24, no. 11: 9775. https://doi.org/10.3390/ijms24119775

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