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Article

The Neurotranscriptome of Monochamus alternatus

1
College of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, China
2
Key Laboratory of Integrated Pest Management in Ecological Forests, Fujian Province University, Fujian Agriculture and Forestry University, Fuzhou 350002, China
3
Fujian Colleges and Universities Engineering Research Institute of Conservation and Utilization of Natural Bioresources, Fujian Agriculture and Forestry University, Fuzhou 350002, China
*
Authors to whom correspondence should be addressed.
These authors contributed equally to this work.
Int. J. Mol. Sci. 2024, 25(8), 4553; https://doi.org/10.3390/ijms25084553
Submission received: 5 March 2024 / Revised: 17 April 2024 / Accepted: 19 April 2024 / Published: 22 April 2024
(This article belongs to the Section Molecular Plant Sciences)

Abstract

:
The Japanese pine sawyer Monochamus alternatus serves as the primary vector for pine wilt disease, a devastating pine disease that poses a significant threat to the sustainable development of forestry in the Eurasian region. Currently, trap devices based on informational compounds have played a crucial role in monitoring and controlling the M. alternatus population. However, the specific proteins within M. alternatus involved in recognizing the aforementioned informational compounds remain largely unclear. To elucidate the spatiotemporal distribution of M. alternatus chemosensory-related genes, this study conducted neural transcriptome analyses to investigate gene expression patterns in different body parts during the feeding and mating stages of both male and female beetles. The results revealed that 15 genes in the gustatory receptor (GR) gene family exhibited high expression in the mouthparts, most genes in the odorant binding protein (OBP) gene family exhibited high expression across all body parts, 22 genes in the odorant receptor (OR) gene family exhibited high expression in the antennae, a significant number of genes in the chemosensory protein (CSP) and sensory neuron membrane protein (SNMP) gene families exhibited high expression in both the mouthparts and antennae, and 30 genes in the ionotropic receptors (IR) gene family were expressed in the antennae. Through co-expression analyses, it was observed that 34 genes in the IR gene family were co-expressed across the four developmental stages. The Antenna IR subfamily and IR8a/Ir25a subfamily exhibited relatively high expression levels in the antennae, while the Kainate subfamily, NMDA subfamily, and Divergent subfamily exhibited predominantly high expression in the facial region. MalIR33 is expressed only during the feeding stage of M. alternatus, the MalIR37 gene exhibits specific expression in male beetles, the MalIR34 gene exhibits specific expression during the feeding stage in male beetles, the MalIR8 and MalIR39 genes exhibit specific expression during the feeding stage in female beetles, and MalIR8 is expressed only during two developmental stages in male beetles and during the mating stage in female beetles. The IR gene family exhibits gene-specific expression in different spatiotemporal contexts, laying the foundation for the subsequent selection of functional genes and facilitating the full utilization of host plant volatiles and insect sex pheromones, thereby enabling the development of more efficient attractants.

1. Introduction

Monochamus alternatus, also known as the Japanese pine sawyer beetle, is a significant global pine tree pest, and it is also the primary vector responsible for transmitting the devastating pine wilt disease caused by the pine wood nematode [1,2,3,4]. Since the discovery of this disease on Pinus thunbergii in Zhongshan Mausoleum in Nanjing, Jiangsu Province, China in 1982, over the past few decades, the epidemic area has expanded to include 731 county-level administrative regions in 19 provinces and municipalities, including Fujian, Sichuan, and Hunan. Currently, the disease has been reported in multiple countries, including the United States, Japan, South Korea, Vietnam, and China [5,6,7,8]. The disease has caused severe damage to China’s forest resources and ecological environment, leading to a continuous reduction in the area of dominant tree species, especially the pioneering reforestation species of Pinus massoniana. The disease not only causes significant economic losses in China but also poses a serious threat to the country’s forest security [9,10]. Therefore, the urgency of controlling and preventing pine wilt disease cannot be overstated. M. alternatus serves as the key vector for the transmission of pine wilt disease, and the most effective measure in combating the disease is to suppress the spread of the Japanese pine sawyer beetle.
Existing research studies have identified several methods for controlling the Japanese pine sawyer beetle, including predictive forecasting, physical control, chemical control, silvicultural control, and biological control [11,12]. The combination of chemical ecology and behavioral studies is characterized by its ability to develop highly efficient, low-toxicity, and widely applicable solutions, making it a widely utilized approach in both research and practical production. Meanwhile, chemical ecology has transitioned from investigating the relationship between insects and the environment to permeating various disciplines. Exploring plant secondary metabolites, chemical ecology has evolved into an important approach that can potentially uncover new avenues for controlling M. alternatus [13]. Pheromone compounds are a crucial category of chemical signals in chemical control measures, playing a significant role in the control of M. alternatus [14]. These can be broadly categorized into two types: volatile substances released by the host, such as α-Pinene and β-Pinene, and insect-secreted pheromones, including aggregation pheromones and sex pheromones [15,16]. The volatile compounds released by hosts can assist M. alternatus in host recognition, foraging, and oviposition site selection behaviors, while the insect’s self-secreted pheromones can induce certain physiological effects in M. alternatus, such as mate-seeking and mating behaviors, subsequently affecting oviposition and egg-laying activities [15].
Current research indicates that the combined use of host plant volatiles and insect sex pheromones can significantly enhance the trapping efficiency of traps. Traps developed based on this principle have been widely promoted in over 20 provinces in mainland China, and they are implemented in provinces affected by pine wilt disease outbreaks, effectively containing the spread of the disease [14,17]. As an efficient, non-resistant, highly specific, and non-polluting control method, the integration of traps with the behavior of M. alternatus and the comprehensive management of harmful organisms comprise a promising approach. By combining pheromone monitoring in chemical control with physical control, there is a broad scope for effectively managing M. alternatus populations. However, the receptors related to the target chemical information substances of M. alternatus are not yet fully understood. Therefore, gaining a deeper understanding of the identification mechanism of M. alternatus chemosensory-related genes and elucidating their functions are essential for enhancing the effectiveness of comprehensive control measures against M. alternatus. This is crucial in slowing down or preventing the evolution of resistant populations. Additionally, it lays the theoretical foundation for the development of more efficient, safer, and more specific attractants and repellents.

2. Results

2.1. The Analysis of the Spatiotemporal Expression Levels of Hte CSP Genes of M. alternatus

The spatiotemporal expression profiles of 15 CSP genes in the Japanese pine sawyer beetle were established based on the beetle’s genomic data, considering different genders, stages, and body parts. A heatmap depicting this expression pattern is shown in Figure 1. The results indicated that the expression of CSP genes was predominantly concentrated in the antennae and mouthparts. During the feeding stage of males, there are five highly expressed genes in the antennae and four highly expressed genes in the mouthparts. And during the mating stage of males, there are six and four highly expressed genes in the antennae and mouthparts, respectively. However, during the feeding stage of females, there are four highly expressed genes in the antennae and one highly expressed gene in the mouthparts. In contrast, during the mating stage of females, there are five highly expressed genes in the antennae and six highly expressed genes in the mouthparts. The evm.TU.chr2.1466.1 exhibited high expression in all stages, while evm.TU.chr2.1457 and evm.TU.chr2.1460 exhibited high expression in the antennae of both male and female beetles. The evm.TU.chr2.1459 demonstrated high expression in the antennae of male beetles during the mating stage, and evm.TU.chr2.1467 exhibited high expression in the facial region of both male and female beetles across all stages. Additionally, AG105172.1-D1, evm.TU.chr2.1451, evm.TU.chr2.1458, evm.TU.chr2.1450, evm.TU.chr2.1461, and evm.TU.chr2.1455 exhibited high expression in the mouthparts.

2.2. The Analysis of the Spatiotemporal Expression Levels of the SNMP Genes of M. alternatus

The analysis of three SNMP genes in the transcriptome data of M. alternatus was performed. A heatmap depicting this expression pattern is shown in Figure 2. The results indicated that the expression levels of SNMP genes do not show significant differences between male and female beetles. However, there is specifically high expression in the mouthparts, antennae, and other body parts. Specifically, evm.TU.chr1.1847 exhibited high expression in other body parts, evm.TU.chr5.351 demonstrated high expression in the mouthparts, and evm.TU.chr5.352 exhibited high expression in the antennae.

2.3. The Analysis of the Spatiotemporal Expression Levels of the OBP Genes of M. alternatus

We analyzed 44 OBP genes, as shown in Figure 3. As depicted in Figure 3, 34 OBP genes were expressed in the mouthparts and facial region of female beetles, with 34 genes co-expressed in the fore-, middle, and hind legs. Among these, AHA39270.1_D1, AF145061.1_D1, AHA39270.1_D4, and XP_975685.1_D7 exhibited high expression in other body parts, with AHA39270.1_D1 showing high expression in the forelegs during the feeding stage of female beetles. evm.TU.chr2.1058, XP_015836450.1_D1, evm.TU.chr3.1558, and evm.TU.chr8.525 demonstrated high expression in the antennae. evm.TU.chr2.1058 was exclusively high in expression in the mouthparts and antennae, while evm.TU.chr3.1558 was exclusively high in expression in the facial region and antennae. evm.TU.chr1.1432, evm.TU.chr9.569, evm.TU.chr1.1441, evm.TU.chr1.1443, evm.TU.chr1.1434, evm.TU.chr1.1442, and evm.TU.chr1.1433 exhibited high expression in the mouthparts. Moreover, evm.TU.chr2.211 exhibited high expression only in the antennae during the mating stage of male beetles.

2.4. The Analysis of the Spatiotemporal Expression Levels of the OR Genes of M. alternatus

Based on the genomic data of M. alternatus, the spatiotemporal expression profiles of 52 OR genes were established (Figure 4). The OR genes are primarily concentrated in the antennae of female beetles and other body parts of male beetles, with 13 genes exhibiting high expression in the antennae and 11 genes exhibiting high expression in other body parts. Among them, evm.TU.chr8.426 and evm.TU.chr9.1136 were expressed in multiple body parts, with higher expression in the facial region during the mating stage of male beetles and higher expression in the antennae during the mating stage of female beetles. evm.TU.chr5.813 was exclusively highly expressed in other body parts during the mating stage. During the feeding stage of male beetles, 11 genes were highly expressed in other body parts, with XP_081570369.1_D1 and XP_023309849.1_D1 exhibiting high expression in the facial region and evm.TU.chr9.1217 and evm.TU.sca1183.1 exhibiting specifically high expression in the antennae. During the mating stage of male beetles, six genes were highly expressed in other body parts, three genes exhibited high expression in the mouthparts, three genes exhibited high expression in the facial region, evm.TU.sca1183.1 exhibited high expression in the antennae, and evm.TU.chr1.1559 exhibited specifically high expression in the hind legs. During the feeding stage of female beetles, 20 genes were highly expressed in the antennae, XP_018568754.2_D1 was highly expressed in other body parts, and evm.TU.chr5.222 and evm.TU.ch1.617 exhibited high expression in the mouthparts, with evm.TU.ch1.617 being specifically highly expressed in female beetles during this stage. During the mating stage of female beetles, 15 genes were highly expressed in the antennae, while XP_023310034.1_D1 and XP_023311544.1_D1 exhibited specifically high expression in the facial region.

2.5. The Analysis of the Spatiotemporal Expression Levels of the GR Genes of M. alternatus

The results indicated that the expression levels of GR genes were low, with the main expression enrichment occurring in the mouthparts. Among them, genes such as evm.TU.chr1.1869, 270002938_D1 and evm.TU.chr5.221 were expressed in all body parts (Figure 5).
During the feeding stage of male beetles, 44 genes were expressed in the mouthparts, with 14 genes showing specifically high expression only in the mouthparts. Among them, evm.TU.chr4.308, XP_023309957.1_D1, XP_017569254.1_D3, and XP_023312177.1_D1 exhibited specifically high expression in the facial region, while evm.TU.chr3.649, XP_018567007.1_D2, evm.TU.chr3.603, and XP_02330957.1_D2 exhibited specifically high expression in other body parts. During the mating stage of male beetles, 36 genes were expressed in the mouthparts, with 11 genes showing specifically high expression only in the mouthparts. Additionally, four genes exhibited specific expression only in the forelegs, and four genes exhibited specific expression in other body parts. Moreover, XP_023312177.1_D1 and XP_023313224.1_D17 were exclusively expressed in the tail region.
During the feeding stage of female beetles, 47 genes were expressed in the mouthparts, with 11 genes exhibiting specifically high expression only in the mouthparts. XP_018567270.1_D12, XP_017566102.1_D3, and XP_018569254.1_D3 exhibited specific expression in the forelegs, XP_018567270.1_D2 exhibited specific expression in the hind legs, evm.TU.chr3.649 and XP_023309959.1_D2 demonstrated specific expression in other body parts, evm.TU.chr3.603 exhibited specific expression in the antennae, and evm.TU.chr8.107, 270002938_D1, and evm.TU.chr4.1483 were highly expressed in the antennae. During the mating stage of female beetles, 35 genes were expressed in the mouthparts, with seven genes showing specifically high expression only in the mouthparts. evm.TU.chr1.1552, 270002938_D1, and 270011156_D5 exhibited high expression in the tail region, while three genes exhibited specific expression in the hind legs, and five genes demonstrated specific expression in the forelegs. 1004397820_D2, 270002936_D1, and XP_023309959.1_D2 were highly expressed in other body parts.

2.6. The Analysis of the Coexpression of the IR Genes of M. alternatus

Based on the expression levels of M. alternatus across the four developmental stages, a co-expression analysis revealed that there were 34 genes expressed in all four stages, as illustrated in Figure 6. Additionally, in the feeding stage of female beetles (F16), two genes were uniquely expressed, namely MalIR5 and MalIR39; in the feeding stage of male beetles (M4), the gene specifically expressed is MalIR34; the gene expressed only in both developmental stages of male beetles is MalIR37; the gene expressed only in the feeding stage of female beetles (F16) and male beetles (M4) is MalIR33; the gene expressed only in the feeding stage of male beetles (M4) and the mating stage of female beetles (F20) is MalIR36; the gene expressed only in both developmental stages of male beetles and the mating stage of female beetles (F20) is MalIR8. The expression levels of these uniquely expressed genes are relatively low, primarily distributed in the AMPA subfamily, with MalIR8 being the only gene in the Antennal IR subfamily.

2.7. The Analysis of the Spatiotemporal Expression Levels of the IR Genes of M. alternatus

A co-expression analysis was conducted on the IR gene expression, as shown in Figure 7. The results indicated that in female beetles, MalIR17, MalIR22, MalIR25, MalIR41, and MalIR45 were expressed in all body parts. The highest number of genes expressed in the feeding stage was 17 in the mouthparts, followed by 15 in the facial region; 14 each in the forelegs, middle legs, and hind legs; 13 in the tail region; and 10 genes showing high expression in the antennae and other body parts. In the mating stage, the highest number of genes expressed in the facial region was 16, followed by nine in the mouthparts and other body parts; 13, 14, and 12 in the forelegs, middle legs, and hind legs, respectively; seven in the tail region; and 10 in the antennae (Figure 7A).
In male beetles, MalIR11, MalIR15, MalIR17, MalIR22, MalIR24, MalIR25, MalIR41, MalIR42, and MalIR44 were expressed in all body parts. In the feeding stage, the highest number of genes expressed in the facial region was 14, followed by 12 in the forelegs, 11 in the middle legs, and 10 in the hind legs. There were nine genes expressed in the antennae, seven in the tail region, and eight genes in each of the mouthparts and other body parts. In the mating stage, the highest number of genes expressed in the facial region was 14, followed by eight in the forelegs, ten in the middle legs, and nine in the hind legs. There were eight genes expressed in the antennae, seven in the tail region, ten in the mouthparts, and five genes in the other body parts (Figure 7B).
Based on transcriptomic data, a co-expression analysis of genes expressed in the antennae of M. alternatus revealed that 30 IR genes were expressed in all stages, as shown in Figure 8. Specifically, MalIR7 and MalIR30 were only expressed during the feeding stage of female beetles; MalIR16 was co-expressed across different stages in male beetles and during the feeding stage in female beetles; MalIR20 was co-expressed during the mating stage in male beetles and the feeding stage in female beetles; MalIR8 was co-expressed across different stages in male beetles and during the mating stage in female beetles.
45 IR genes were established using a heatmap based on the genomic data of M. alternatus (Figure 8). The results indicated that the expression levels of IR genes in M. alternatus were relatively high, with a large number of genes being expressed. Among them, the Antennal IR and IR8aIR25a subfamily genes exhibited higher expression in the antennae, with female expression levels higher than males. Specifically, MalIR8 exhibited specifically high expression in the antennae during the mating stage, MalIR4 exhibited high expression in the antennae during the feeding stage, MalIR28 exhibited high expression in the antennae of female beetles, and MalIR45 was expressed in all body parts, with particularly high expression levels in the tail and legs. The divergent subfamily MalIR3 was predominantly expressed in the facial region, antennae, and mouthparts, with high expression in the facial region during the feeding stage in male beetles. The NMDA and Kainate subfamily genes were expressed in the facial region, as well as in the antennae and legs, with MalIR16 exhibiting high expression in the facial region. The AMPA subfamily genes had lower expression levels, with MalIR34 and MalIR33 showing high expression in the mouthparts during the feeding stage in male beetles; MalIR34 was exclusively expressed in the mouthparts, MalIR39 exhibited specifically high expression in the tail and middle legs during the feeding stage of female beetles, and MalIR5 exhibited expression in the forelegs and other body parts during the feeding stage of female beetles (Figure 9).

3. Discussion

Insects rely on chemical cues to recognize important volatile signals, which are crucial for behaviors such as foraging, oviposition, mating, or evading predators. Therefore, the reception of chemical information is indispensable for the survival and life processes of animals [18]. Furthermore, the role of chemical signal recognition may also contribute to species evolution, such as reproductive isolation and speciation. The chemosensory receptors that play a key role in the biological processes of organisms serve as a starting point for studying the role of natural selection in molecular adaptation.
Insects’ IRs are widely distributed throughout their bodies, including sensory organs in the labellum, legs, pharynx, and wings, playing a role not only in gustatory responses but also in oviposition and courtship behaviors [19,20]. In some neurons, IRs and GRs are co-expressed [20]. Despite originating from different gene families, different chemosensory receptors may also exhibit co-expression. For instance, the Orco gene in the OR gene family and the IR25a gene in the IR gene family are extensively co-expressed [21]. Building upon the identification of 44 OBP genes, 52 OR genes, 85 GR genes, 15 CSP genes, 45 IR genes, and three SNMP genes in the M. alternatus genome, further analyses of their spatiotemporal expression patterns within the beetle are essential.
CSPs constitute a highly expressed soluble small peptide family in insect chemosensory organs with high levels of expression in the chemosensory lymph. They play a crucial role in chemical communication and recognition but also have functions beyond recognition, such as in development and insecticide resistance [22]. In Orthopteran species Locusta migratoria and Schistocerca gregaria, CSPs are mainly classified into CSP-I and CSP-II. Phenylacetonitrile exhibits good affinity with CSP-II but not with CSP-I, and this compound is considered a component of the pheromone of desert locusts [23]. Studies on the parasitoid wasp Encarsia formosa have shown that CSP-III can bind to a variety of host volatiles, such as dimethyl phthalate, 1-octene, β-ocimene, and terpenes [24]. CSPs show a relatively high expression level in M. alternatus, with no significant difference in expression between male and female beetles. They are expressed in various body parts, with evm.molel.chr2.1459, evm.molel.chr2.1457, and evm.molel.chr2.1460 showing high expression in the antennae, indicating their potential role as key genes in recognizing informational compounds in M. alternatus. evm.molel.chr2.1451 and evm.molel.chr2.1455 exhibit high expression in the mouthparts, suggesting their possible involvement in the feeding and oviposition site selection behaviors of M. alternatus.
SNMPs are insect-specific membrane proteins initially discovered in olfactory sensory neurons (OSNs) sensitive to pheromones in Lepidoptera [25,26,27]. They act as co-receptors and interact with various OBPs and ORs in odor detection processes. They are mainly classified into SNMP1s, SNMP2s, and SNMP3s, serving as key players in insect pheromone recognition. Meanwhile, SNMP4s, as a novel type of SNMP gene, are distributed in the tissues of Coleoptera. SNMP genes are fewer in number, yet they exhibit relatively high expression levels in M. alternatus, with no significant difference in expression between male and female beetles. They show high expression in the antennae, mouthparts, and other body parts, with evm.molel.chr5.351 showing high expression in other body parts (thorax, abdomen, wings, etc.), potentially serving as a key gene in recognizing informational compounds. Moreover, evm.molel.chr5.352 exhibits high expression in the mouthparts, suggesting its possible importance in the feeding behavior of M. alternatus.
The insect OBP gene encodes odor-binding proteins, which help transmit odor molecules to sensory neurons. The Drosophila melanogaster and fruit fly OBP57d and OBP57e play a role in host selection [28]. The OBP13 of M. alternatus showed specificity in the recognition of 20 host odors, with 4-ethylphenol identified as the optimal ligand with a KD value of 0.77 μM [29]. In our reaserch, the expression level of OBPs is relatively high in M. alternatus, and multiple MalOBPs are expressed in the mouthparts, antennae, tail, and legs. The expression level of MalOBPs is higher in female beetles compared to male beetles. The presence of MalOBPs in the mouthparts and legs suggests that these genes may mediate behaviors such as foraging and mating in M. alternatus. For instance, in the research studies on Cylas formicarius, OBP4-6 has been shown to have a strong binding affinity with ligands such as sex pheromones [22]. Genes like evm.TU.chr2.211, evm.TU.chr8.525, and evm.TU.chr3.1558 exhibit specifically high expression in the antennae of female beetles, indicating their potential as key genes for recognizing informational compounds in M. alternatus. Genes such as evm.TU.chr1.1432, evm.TU.chr9.569, evm.TU.chr1.441, and evm.TU.chr1.443 show specifically high expression in the mouthparts, which suggests their possible involvement in the feeding behavior of the beetle.
The OR gene of insects encodes odor receptors, which are involved in the signal transduction of odor perception. Their main function is to bind odor molecules and transmit signals to downstream proteins (G proteins). The mechanism in insects differs from that in vertebrates regarding olfactory receptors and metabolism [30,31,32]. In the research on the Dipteran species Bactrocera dorsalis Hendel, it was shown that OR24 and Orco exhibit significant responses to linalool [33]. ORs exhibit a lower expression level in M. alternatus, with most MalOR genes showing specifically high expression in the antennae, and the expression level is higher in female beetles compared to male beetles, consistent with the expression pattern of OBPs. Genes such as evm.TU.chr8.426, evm.TU.chr9.1136, evm.TU.chr4.1114, and evm.TU.chr1.567 are highly expressed in the facial region of female beetles, suggesting their potential importance in the feeding behavior of M. alternatus. Genes like evm.TU.chr9.1217, evm.TU.chr6.548, and evm.TU.chr4.848 show high expression in the tail region of female beetles, indicating their potential role as key genes in the mating behavior of M. alternatus. In male beetles, only evm.TU.chr5.813 is highly expressed in other body parts (thorax, abdomen, wings, etc.), suggesting its potential role as a key gene in recognizing informational compounds. Moreover, evm.TU.chr1.1559 exhibits specifically high expression only in the hind legs during the mating stage of male beetles, indicating its potential importance in sexual behavior or oviposition in M. alternatus.
The insect GR gene is an important component of the insect taste system, responsible for sensing and transmitting signals of food taste. These receptors are widely distributed on insect mouthparts, helping insects identify potential food sources and toxic substances [34]. In the study of bitter taste function in the Dipteran species Drosophila sechellia, it was also shown to be the core taste receptor for bitter compounds [35]. Chemoreceptors located on the labellum and tarsi detect sweet compounds, thereby activating proboscis extension and feeding behavior [36]. GRs demonstrate a lower expression level in M. alternatus, mainly due to their function in gustatory recognition. Therefore, most MalGR genes show specifically high expression in the mouthparts, with a higher expression level in female beetles compared to male beetles, consistent with the expression patterns of OBPs and ORs. During the mating stage of male and female beetles, genes exhibiting specifically high expression in the tail region include evm.TU.chr1.1552, 270002938_D1, 270011156_D5, XP_023312177.1_D1, and XP_023313224.1_D17, indicating their potential role as key genes in sexual behavior or oviposition in M. alternatus.
The insect IR gene encodes an Ionic Receptor, which is a key molecule for insects to perceive internal stimuli such as temperature. These receptors play a role in insect sensory organs, helping insects perceive and adapt to temperature changes in the environment [37]. The number and composition of insect IR gene families may vary significantly among different insect species. Some species may have fewer IR genes, while others may have more IR genes. This diversity reflects the differences in the recognition and perception needs of chemical substances among different insect species. In the Lepidopteran species Helicoverpa armigera, A-IRs show higher expression levels in the antennae of adults or larvae than in other tissues, and they are also detected in the proboscis and legs, suggesting that some A-IRs in H. armigera may have dual functions in both olfaction and taste [38]. IRs exhibit stable and high expression levels in M. alternatus, with 34 genes being co-expressed in both male and female beetles across two stages. Most MalIR genes show specifically high expression in the facial region and antennae, with 30 genes co-expressed in the antennae at various stages. The expression levels in male beetles are higher than in female beetles, indicating the involvement of IR genes in the recognition processes of M. alternatus. The Antennal IR and IR8a/IR25a subfamilies exhibit high expression in the antennae, while the Kainate subfamily shows lower expression levels in the antennae, with expression mainly concentrated in the facial region. Genes such as MalIR1, MalIR4, MalIR38, MalIR18, MalIR27, and MalIR28 are highly expressed in the antennae during the feeding stage of female beetles, suggesting their important role in recognition during this stage. MalIR8 exhibits high expression in the antennae during the mating stage of both male and female beetles, indicating its key role in the mating behavior of M. alternatus. Genes like MalIR45, MalIR24, and MalIR42 are expressed across all stages, indicating potential roles in multiple recognition functions. MalIR3 shows a specifically high expression in the facial region of male beetles.

4. Materials and Methods

4.1. The Test Insect

The test insect is a strain of M. alternatus bred in our laboratory. The rearing conditions are as follows: rearing temperature—23–26 °C; light–dark cycle—L:D = 12:12; relative humidity—70–75%.
Transcriptome sequencing samples: Samples were collected from different developmental stages, genders, and body parts of M. alternatus, with 3 replicates per group (Table 1). Each replicate is a mixture of 5 samples. Due to the different growth conditions of individual insects, there may be a one-week gap between the growth of individual insects. After dissection, the samples were promptly labeled, placed in 1.5 mL centrifuge tubes, and stored at −80 °C for future use, as shown in Figure 10.

4.2. RNA Isolation and Illumina Sequencing

Total RNA was extracted by Trizol reagent (Invitrogen, Carlsbad, CA, USA). Amounts of 50–100 mg tissues were added to 1.5 mL Trizol, vortexed, and incubated at room temperature for 5 min to ensure complete lysis. They were centrifuged at 12,000× g for 5 min and then the supernatant was transferred to a new tube. Chloroform was added at a ratio of Trizol:chloroform = 5:1, the tube was covered tightly, vortex-mixed for 15 s in a vortex shaker, and incubated at room temperature for 2–3 min to allow for phase separation. The sample was centrifuged at 4 °C, 12,000× g for 10 min. The aqueous phase was then transferred to a new tube, an equal volume of chloroform was added to the tube, it was vortex-mixed for 15 s in a vortex shaker, incubated at room temperature for 2–3 min to allow for phase separation, and centrifuged at 4 °C, 12,000× g for 10 min. The upper aqueous phase was then transferred to a new 1.5 mL EP tube, an equal volume of isopropanol was added to the tube, and it was incubated at room temperature for 10 min. The sample was centrifuged at 4 °C, 12,000× g for 15 min, then the supernatant was discarded. Then, 1 mL 75% ethanol was added to the RNA pellet, vortex-mixed for 5 s in a vortex shaker, centrifuged at 4 °C, 7500× g for 5 min, and then the supernatant was discarded. The RNA pellet was placed in a sterile workbench to air dry for approximately 5–10 min, and then the RNA pellet was dissolved by DEPC-treated water.
The purity of RNA was determined by the Nanodrop spectrophotometer (IMPLEN, Westlake Village, CA, USA) and detection, and the integrity was accurately determined by RNA Nano 6000 Assay Kit of the Bioanalyzer 2100 system (Agilent Technologies, Santa Clara, CA, USA). Sequencing libraries were generated using NEBNext®UltraTM RNA Library Prep Kit for Illumina® (NEB, Ipswich, MA, USA). Oligo(dT) magnetic beads were used to enrich mRNA with polyA tails. Subsequently, the first cDNA strand was synthesized and subjected to PCR amplification. Finally, the PCR products were purified to obtain the library required for this study. After constructing the sequencing library, the library was subjected to initial quantitative analysis using a Qubit 2.0 Fluorometer. Upon confirming the library’s quality through this detection, both the insert size and effective concentration of the library were measured. Further precise quantitative analyses using qRT-PCR were conducted to ensure the quality of the library. Then, the high-throughput RNA-sequencing libraries were prepared, following Illumina’s protocols, and were sequenced on the Illumina NovaSeq 6000 sequencing platform (Illumina, SanDiego, CA, USA).

4.3. De Novo Transcriptome Assembly and Annotation

The raw reads were filtered to remove adaptor fragments, i.e., reads containing unknown nucleotide “N” over 5% and empty tags to obtain high-quality clean reads. The fastp software (version 0.23.1) was used to conduct data quality control. The TGICL v2.1 clustering tool was utilized to assemble all the unigenes with default parameters [39]. Then, the unigenes were aligned with the Nr, Swiss-Prot, COG, KOG, and eggNOG4.5 databases by BLAST v2.2.31 [40], and GO annotation was performed using Blast2GOv2.5. The HMMER v3.1b2 software was used to search the Pfam database to obtain the annotation information of the unigenes.

4.4. Differential Expression Analysis of Chemosensory Receptor Protein Genes

The UpSet image from NovoMagic was used to analyze differential expression (https://magic.novogene.com accessed on 1 March 2024), and the parameter was the fpkm value. To investigate the functional characteristics of the chemosensory receptor protein gene family in supplemental nutrition and the mating oviposition stages of M. alternatus, the FPKM values of the chemosensory receptor protein gene family were extracted based on the transcriptome database for the feeding stages (male eclosion at 4 days (M4) and female eclosion at 16 days (F16)) and mating stages (male eclosion at 9 days (M9) and female eclosion at 20 days (F20)) [41]. The spatial and temporal expression patterns of chemosensory receptor protein genes in M. alternatus were visualized using the HeatMap tool in the TBtools software v2.07 [42]. The calculation process of FPKM values is as follows:
FPKM i = X i l i ~ 10 3 N 10 6 = X i l ~ i N 10 9
In the formula, N represents the total number of sequenced reads, Xi represents the count number of genes, and l represents the length of the gene (measured in base pairs) [43].

5. Conclusions

In conclusion, the receptors in the olfactory sensory system operate independently at the molecular level and are also subject to regulation during various developmental processes, each located in distinct structures of receptors. Therefore, the chemosensory receptors mentioned above appear to have distinct functions in chemical compensation. Building upon this foundation, it can be demonstrated that elucidating the functions of the aforementioned genes is crucial for a better understanding of the essential interplay pathways between different insect olfactory receptors and host plants. This study provides a theoretical basis for the development of novel attractants or repellents for M. alternatus, thus playing a significant role in curbing the spread of pine wilt disease.

Author Contributions

X.H. (Xiaohong Han), F.Z. and S.W. conceived and designed the experiments. X.H. (Xiaohong Han), M.W., Y.W. and X.H. (Xinran Hu) performed the experiments. Y.L., G.J., Y.Z. and X.W. analyzed the data. X.H. (Xiaohong Han), M.W. and S.W. wrote the manuscript. X.H. (Xiaohong Han), W.S. and F.Z. revised the manuscript. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by the National Key R & D Program of China [grant number 2021YFD1400900]; National Natural Science Foundation of China [grant numbers U1905201 and 32171805]; Forestry Key Program of Science and Technology in Fujian Province [grant number 2021FKJ03]; Natural Science Foundation of Fujian Province, China [grant number 2021J01056]; Forestry Programs of Science and Technology in Fujian Province [grant number Mincaizhi [2020] 601]; Science and Technology Program of Fujian Province [grant number 2018N5002]; Forestry Science Research Project of Fujian Forestry Department [grant number Minlinke [2017] 03]; Scientific Research Foundation of Graduate School of Fujian Agriculture and Forestry University [Grant Number: 324-1122yb078]; and Undergraduate Training Program for Innovation and Entrepreneurship of China [grant numbers X202310389146].

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

Data are contained within the article.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Linit, M.J. Nemtaode-vector relationships in the pine wilt disease system. J. Nematol. 1988, 20, 227. [Google Scholar] [PubMed]
  2. Togashi, K.; Arakawa, Y. Horizontal transmission of Bursaphelenchus xylophilus between sexes of Monochamus alternatus. J. Nematol. 2003, 35, 7–16. [Google Scholar] [PubMed]
  3. Han, X.; Li, Y.; Huang, W.; Wang, R.; Hu, X.; Liang, G.; Huang, S.; Lian, C.; Zhang, F.; Wu, S. Landscapes drive the dispersal of Monochamus alternatus, vector of the pinewood nematode, revealed by whole-genome resequencing. For. Ecol. Manag. 2023, 529, 120682. [Google Scholar] [CrossRef]
  4. Wen, X.; Hong, Y.; Zhong, J.; Li, L.; Ma, Q.; Hu, X.; Han, X.; Guo, W.; Huang, Y.; Zhang, F. Assessing the impact of pine wilt disease on aboveground carbon storage in planted Pinus massoniana Lamb. forests via remote sensing. Sci. Total Environ. 2024, 914, 169906. [Google Scholar] [CrossRef] [PubMed]
  5. Han, X.; Zhou, T.; Hu, X.; Zhu, Y.; Shi, Z.; Chen, S.; Liu, Y.; Weng, X.; Zhang, F.; Wu, S. Discovery and Characterization of MaK: A Novel Knottin Antimicrobial Peptide from Monochamus alternatus. Int. J. Mol. Sci. 2023, 24, 17565. [Google Scholar] [CrossRef]
  6. Gao, R.; Liu, L.; Zhao, L.; Cui, S. Potentially suitable geographical area for Monochamus alternatus under current and future climatic scenarios based on optimized maxent model. Insects 2023, 14, 182. [Google Scholar] [CrossRef] [PubMed]
  7. Dwinell, L. First report of pinewood nematode (Bursaphelenchus xylophilus) in Mexico. Plant Dis. 1993, 77, 846. [Google Scholar] [CrossRef]
  8. Hunt, D. Pine wilt disease: A worldwide threat to forest ecosystems. Nematology 2009, 11, 315–316. [Google Scholar] [CrossRef]
  9. Li, M.; Li, H.; Ding, X.; Wang, L.; Wang, X.; Chen, F. The detection of pine wilt disease: A literature review. Int. J. Mol. Sci. 2022, 23, 10797. [Google Scholar] [CrossRef]
  10. Maehara, N.; Kanzaki, N.; Aikawa, T.; Nakamura, K. Potential vector switching in the evolution of Bursaphelenchus xylophilus group nematodes (Nematoda: Aphelenchoididae). Ecol. Evol. 2020, 10, 14320–14329. [Google Scholar] [CrossRef]
  11. Shimazu, M. Use of microbes for control of Monochamus alternatus, vector of the invasive pinewood nematode. In Use of Microbes for Control Eradication of Invasive Arthropods; Springer: Berlin/Heidelberg, Germany, 2009; Volume 6, pp. 141–157. [Google Scholar] [CrossRef]
  12. Zhao, B.G. Pine wilt disease in China. In Pine Wilt Disease; Springer: Tokyo, Japan, 2008; pp. 18–25. [Google Scholar]
  13. Huiling, H. Application of insect chemical ecology on the prevention and control of public health pests. Chin. J. Vector Biol. Control 2018, 29, 313–316. [Google Scholar]
  14. Tao, M.A. Monitoring Monochamus alternatus population dynamics with APF-I attractant in yunnan. For. Pest Dis. 2016, 35, 21–23. [Google Scholar]
  15. Jianting, F.; Juncuo, M.; Baode, W.; Lilin, Z.; Jianghua, S. Field trapping the japanese pine sawyer Monochamus alternatus hope (Coleoptera: Cerambycidae) using an aggregation pheromone and host volatiles. Chin. J. Appl. Entomol. 2013, 50, 1274–1279. [Google Scholar]
  16. Dejun, H.; Binqi, F.; Jingen, T.; Yan, W.; Fenglin, M. Screening of attractants for Monochamus alternatus and its attraction effects. J. Northeast For. Univ. 2009, 37, 86–87. [Google Scholar]
  17. Long, C.; Qiang, L.; Junnan, L.; Baode, W.; Feiping, Z. Comparison of efficacies for Monochamus alternatus adult caught by panel traps baited with APF-I chemical attractant placed at different field positions. J. Fujian Coll. For. 2014, 34, 11–14. [Google Scholar]
  18. Clyne, P.J.; Warr, C.G.; Freeman, M.R.; Lessing, D.; Kim, J.; Carlson, J.R. A novel family of divergent seven-transmembrane proteins: Candidate odorant receptors in Drosophila. Neuron 1999, 22, 327–338. [Google Scholar] [CrossRef] [PubMed]
  19. Hussain, A.; Zhang, M.; Üçpunar, H.K.; Svensson, T.; Quillery, E.; Gompel, N.; Ignell, R.; Kadow, I.C.G. Ionotropic chemosensory receptors mediate the taste and smell of polyamines. PLoS Biol. 2016, 14, e1002454. [Google Scholar] [CrossRef]
  20. Koh, T.W.; He, Z.; Gorur-Shandilya, S.; Menuz, K.; Larter, N.K.; Stewart, S.; Carlson, J.R. The Drosophila IR20a clade of ionotropic receptors are candidate taste and pheromone receptors. Neuron 2014, 83, 850–865. [Google Scholar] [CrossRef] [PubMed]
  21. Herre, M.; Goldman, O.V.; Lu, T.C.; Caballero-Vidal, G.; Qi, Y.; Gilbert, Z.N.; Gong, Z.; Morita, T.; Rahiel, S.; Ghaninia, M.; et al. Non-canonical odor coding in the mosquito. Cell 2022, 185, 3104–3123.e28. [Google Scholar] [CrossRef]
  22. Iovinella, I.; Bozza, F.; Caputo, B.; Della Torre, A.; Pelosi, P. Ligand-binding study of Anopheles gambiae chemosensory proteins. Chem. Senses 2013, 38, 409–419. [Google Scholar] [CrossRef]
  23. Ban, L.; Zhang, L.; Yan, Y.; Pelosi, P. Binding properties of a locust’s chemosensory protein. Biochem. Biophys. Res. Commun. 2002, 293, 50–54. [Google Scholar] [CrossRef] [PubMed]
  24. Ke, W.; He, Y.Y.; Zhang, Y.J.; Guo, Z.J.; Xie, W.; Wu, Q.-J.; Wang, S.-J. Characterization of the chemosensory protein EforCSP3 and its potential involvement in host location by Encarsia formosa. J. Integr. Agric. 2023, 22, 514–525. [Google Scholar]
  25. Ishimaru, Y.; Inada, H.; Kubota, M.; Zhuang, H.; Tominaga, M.; Matsunami, H. Transient receptor potential family members PKD1L3 and PKD2L1 form a candidate sour taste receptor. Proc. Natl. Acad. Sci. USA 2006, 103, 12569–12574. [Google Scholar] [CrossRef] [PubMed]
  26. Pelosi, P.; Iovinella, I.; Zhu, J.; Wang, G.; Dani, F.R. Beyond chemoreception: Diverse tasks of soluble olfactory proteins in insects. Biol. Rev. 2018, 93, 184–200. [Google Scholar] [CrossRef] [PubMed]
  27. Li, Z.Q.; Zhang, S.; Luo, J.Y.; Zhu, J.; Cui, J.J.; Dong, S.L. Expression analysis and binding assays in the chemosensory protein gene family indicate multiple roles in Helicoverpa armigera. J. Chem. Ecol. 2015, 41, 473–485. [Google Scholar] [CrossRef] [PubMed]
  28. Matsuo, T.; Sugaya, S.; Yasukawa, J.; Aigaki, T.; Fuyama, Y. Odorant-binding proteins OBP57d and OBP57e affect taste perception and host-plant preference in Drosophila sechellia. PLoS Biol. 2007, 5, e118. [Google Scholar] [CrossRef] [PubMed]
  29. Li, N.; Sun, X.; Wang, M.Q. Expression pattern and ligand-binding properties of odorant-binding protein 13 from Monochamus alternatus hope. J. Appl. Entomol. 2017, 141, 751–757. [Google Scholar] [CrossRef]
  30. Zhu, J.; Iovinella, I.; Dani, F.R.; Liu, Y.L.; Huang, L.Q.; Liu, Y.; Wang, C.Z.; Pelosi, P.; Wang, G. Conserved chemosensory proteins in the proboscis and eyes of Lepidoptera. Int. J. Biol. Sci. 2016, 12, 1394–1404. [Google Scholar] [CrossRef]
  31. Chang, X.; Bi, Y.; Chi, H.; Fang, Q.; Lu, Z.; Wang, F.; Ye, G. Identification and expressionanalysis of odorant-binding and chemosensory protein genes in virus vector Nephotettix cincticeps. Insects 2022, 13, 1024. [Google Scholar] [CrossRef] [PubMed]
  32. Liu, Y.L.; Guo, H.; Huang, L.Q.; Pelosi, P.; Wang, C.Z. Unique function of a chemosensory protein in the proboscis of two Helicoverpa species. J. Exp. Biol. 2014, 217, 1821–1826. [Google Scholar] [CrossRef]
  33. Liu, Y.P.; Cui, Z.Y.; Si, P.F.; Liu, Y.; Zhou, Q.; Wang, G. Characterization of a specific odorant receptor for linalool in the Chinese citrus fly Bactrocera minax (Diptera: Tephritidae). Insect Biochem. 2020, 122, 103389. [Google Scholar] [CrossRef] [PubMed]
  34. Zhang, H.J.; Anderson, A.R.; Trowell, S.C.; Luo, A.R.; Xiang, Z.H.; Xia, Q.Y. Topological and functional characterization of an insect gustatory receptor. PLoS ONE 2011, 6, e24111. [Google Scholar]
  35. Lee, Y.S.; Moon, S.J.; Montell, C. Multiple gustatory receptors required for the caffeine response in Drosophila. Proc. Natl. Acad. Sci. USA 2009, 106, 4495–4500. [Google Scholar] [CrossRef] [PubMed]
  36. Siegel, R.; Hall, J. Conditioned courtship in Drosophila and its mediation by association of chemical cues. Proc. Natl. Acad. Sci. USA 1979, 76, 3430–3434. [Google Scholar] [CrossRef] [PubMed]
  37. Abuin, L.; Bargeton, B.; Ulbrich, M.H.; Isacoff, E.Y.; Kellenberger, S.; Benton, R. Functional architecture of olfactory ionotropic glutamate receptors. Neuron 2011, 69, 44–60. [Google Scholar] [CrossRef] [PubMed]
  38. Liu, N.Y.; Xu, W.; Dong, S.L.; Zhu, J.Y.; Xu, Y.X.; Anderson, A. Genome-wide analysis of ionotropic receptor gene repertoire in Lepidoptera with an emphasis on its functions of Helicoverpa armigera. Insect Biochem. Mol. Biol. 2018, 99, 37–53. [Google Scholar] [CrossRef] [PubMed]
  39. Pertea, G.; Huang, X.Q.; Liang, F.; Antonescu, V.; Sultana, R.; Karamycheva, S.; Lee, Y.D.; White, J.; Cheung, F.; Parvizi, B. TIGR gene indices clustering tools (TGICL): A software system for fast clustering of large EST datasets. Bioinformatics 2003, 19, 651–652. [Google Scholar] [CrossRef] [PubMed]
  40. Li, L.T.; Zhu, Y.B.; Ma, J.F.; Li, Z.Y.; Dong, Z.P. An Analysis of the Athetis lepigone transcriptome from four developmental stages. PLoS ONE 2013, 8, e73911. [Google Scholar] [CrossRef] [PubMed]
  41. Trapnell, C.; Williams, B.A.; Pertea, G.; Mortazavi, A.; Kwan, G.; van Baren, M.J.; Salzberg, S.L.; Wold, B.J.; Pachter, L. Transcript assembly and quantification by RNA-Seq reveals unannotated transcripts and isoform switching during cell differentiation. Nat. Biotechnol. 2010, 28, 511–515. [Google Scholar] [CrossRef]
  42. Chen, C.; Chen, H.; Zhang, Y.; Thomas, H.R.; Frank, M.H.; He, Y.; Xia, R. TBtools: An integrative toolkit developed for interactive analyses of big biological data. Mol. Plant 2020, 13, 1194–1202. [Google Scholar] [CrossRef]
  43. Pimentel, H. What the FPKM? A review of RNA-Seq expression units. The Farrago. Available online: https://haroldpimentel.wordpress.com/2014/05/08/what-the-fpkm-a-review-rna-seq-expression-units/ (accessed on 7 January 2024).
Figure 1. Spatiotemporal expression heatmap of CSP genes in M. alternatus. Green represents the low expression level of CSP genes in various tissues of M. alternatus, blue represents the high expression level of CSP genes in various tissues of M. alternatus. The larger the circle, the higher the expression level.
Figure 1. Spatiotemporal expression heatmap of CSP genes in M. alternatus. Green represents the low expression level of CSP genes in various tissues of M. alternatus, blue represents the high expression level of CSP genes in various tissues of M. alternatus. The larger the circle, the higher the expression level.
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Figure 2. Spatiotemporal expression heatmap of SNMP genes in M. alternatus. Green represents the low expression level of SNMP genes in various tissues of M. alternatus, blue represents the high expression level of SNMP genes in various tissues of M. alternatus. The larger the circle, the higher the expression level.
Figure 2. Spatiotemporal expression heatmap of SNMP genes in M. alternatus. Green represents the low expression level of SNMP genes in various tissues of M. alternatus, blue represents the high expression level of SNMP genes in various tissues of M. alternatus. The larger the circle, the higher the expression level.
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Figure 3. Heatmap of OBP genes expression in different parts of M. alternatus. Green represents the low expression level of OBP genes in various tissues of M. alternatus, blue represents the high expression level of OBP genes in various tissues of M. alternatus. The larger the circle, the higher the expression level.
Figure 3. Heatmap of OBP genes expression in different parts of M. alternatus. Green represents the low expression level of OBP genes in various tissues of M. alternatus, blue represents the high expression level of OBP genes in various tissues of M. alternatus. The larger the circle, the higher the expression level.
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Figure 4. Spatiotemporal expression heatmap of OR genes in M. alternatus. Green represents the low expression level of OR genes in various tissues of M. alternatus, blue represents the high expression level of OR genes in various tissues of M. alternatus. The larger the circle, the higher the expression level.
Figure 4. Spatiotemporal expression heatmap of OR genes in M. alternatus. Green represents the low expression level of OR genes in various tissues of M. alternatus, blue represents the high expression level of OR genes in various tissues of M. alternatus. The larger the circle, the higher the expression level.
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Figure 5. Heatmap of GR genes expression in different parts of M. alternatus. Green represents the low expression level of GR genes in various tissues of M. alternatus, blue represents the high expression level of GR genes in various tissues of M. alternatus. The larger the circle, the higher the expression level.
Figure 5. Heatmap of GR genes expression in different parts of M. alternatus. Green represents the low expression level of GR genes in various tissues of M. alternatus, blue represents the high expression level of GR genes in various tissues of M. alternatus. The larger the circle, the higher the expression level.
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Figure 6. IR gene co-expression map of M. alternatus at different ages. M4: male feeding stage; M9: male mating stage; F16: female feeding stage; F20: female feeding stage.
Figure 6. IR gene co-expression map of M. alternatus at different ages. M4: male feeding stage; M9: male mating stage; F16: female feeding stage; F20: female feeding stage.
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Figure 7. IR gene co-expression map of M. alternatus in different parts. (A) Co-expression map of IR genes in different parts of females; (B) co-expression map of IR genes in different parts of males.
Figure 7. IR gene co-expression map of M. alternatus in different parts. (A) Co-expression map of IR genes in different parts of females; (B) co-expression map of IR genes in different parts of males.
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Figure 8. Co-expression map of IR genes at different stages in male and female M. Alternatus.
Figure 8. Co-expression map of IR genes at different stages in male and female M. Alternatus.
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Figure 9. Spatiotemporal expression heatmap of IR genes in M. alternatus. Green represents the low expression level of IR genes in various tissues of M. alternatus, blue represents the high expression level of IR genes in various tissues of M. alternatus. The larger the circle, the higher the expression level.
Figure 9. Spatiotemporal expression heatmap of IR genes in M. alternatus. Green represents the low expression level of IR genes in various tissues of M. alternatus, blue represents the high expression level of IR genes in various tissues of M. alternatus. The larger the circle, the higher the expression level.
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Figure 10. Transcriptome sequencing samples of IR genes in M. alternatus. F: face; L: lips; TE: tentacles; TA: tail; P: propodium; M: mesopodium; MT: metapedes.
Figure 10. Transcriptome sequencing samples of IR genes in M. alternatus. F: face; L: lips; TE: tentacles; TA: tail; P: propodium; M: mesopodium; MT: metapedes.
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Table 1. The neurotranscriptome sequencing samples of M. alternatus.
Table 1. The neurotranscriptome sequencing samples of M. alternatus.
GenderInstarSampling Location
Male4 d post-eclosion (feeding stage)Face
Trophi
Tentacles
Tail
Propodium
Mesopodium
Metapedes
The rest
9 d post-eclosion (mating stage)
Female16 d post-eclosion (feeding stage)
20 d post-eclosion (mating stage)
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Han, X.; Weng, M.; Shi, W.; Wen, Y.; Long, Y.; Hu, X.; Ji, G.; Zhu, Y.; Wen, X.; Zhang, F.; et al. The Neurotranscriptome of Monochamus alternatus. Int. J. Mol. Sci. 2024, 25, 4553. https://doi.org/10.3390/ijms25084553

AMA Style

Han X, Weng M, Shi W, Wen Y, Long Y, Hu X, Ji G, Zhu Y, Wen X, Zhang F, et al. The Neurotranscriptome of Monochamus alternatus. International Journal of Molecular Sciences. 2024; 25(8):4553. https://doi.org/10.3390/ijms25084553

Chicago/Turabian Style

Han, Xiaohong, Mingqing Weng, Wenchao Shi, Yingxin Wen, Yirong Long, Xinran Hu, Guoxi Ji, Yukun Zhu, Xuanye Wen, Feiping Zhang, and et al. 2024. "The Neurotranscriptome of Monochamus alternatus" International Journal of Molecular Sciences 25, no. 8: 4553. https://doi.org/10.3390/ijms25084553

APA Style

Han, X., Weng, M., Shi, W., Wen, Y., Long, Y., Hu, X., Ji, G., Zhu, Y., Wen, X., Zhang, F., & Wu, S. (2024). The Neurotranscriptome of Monochamus alternatus. International Journal of Molecular Sciences, 25(8), 4553. https://doi.org/10.3390/ijms25084553

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