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Symbiotic bracovirus of a parasite manipulates host lipid metabolism via tachykinin signaling

  • Yanping Wang,

    Roles Data curation, Formal analysis, Investigation, Methodology, Resources, Validation, Visualization, Writing – original draft, Writing – review & editing

    Affiliations Institute of Insect Sciences, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, China, Ministry of Agriculture Key Lab of Molecular Biology of Crop Pathogens and Insect Pests, Zhejiang University, Hangzhou, China, Key Laboratory of Biology of Crop Pathogens and Insects of Zhejiang Province, Zhejiang University, Hangzhou, China

  • Xiaotong Wu,

    Roles Formal analysis, Investigation

    Affiliations Institute of Insect Sciences, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, China, Ministry of Agriculture Key Lab of Molecular Biology of Crop Pathogens and Insect Pests, Zhejiang University, Hangzhou, China, Key Laboratory of Biology of Crop Pathogens and Insects of Zhejiang Province, Zhejiang University, Hangzhou, China

  • Zehua Wang,

    Roles Methodology

    Affiliations Institute of Insect Sciences, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, China, Ministry of Agriculture Key Lab of Molecular Biology of Crop Pathogens and Insect Pests, Zhejiang University, Hangzhou, China, Key Laboratory of Biology of Crop Pathogens and Insects of Zhejiang Province, Zhejiang University, Hangzhou, China

  • Ting Chen,

    Roles Resources

    Affiliations Institute of Insect Sciences, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, China, Ministry of Agriculture Key Lab of Molecular Biology of Crop Pathogens and Insect Pests, Zhejiang University, Hangzhou, China, Key Laboratory of Biology of Crop Pathogens and Insects of Zhejiang Province, Zhejiang University, Hangzhou, China

  • Sicong Zhou,

    Roles Software

    Affiliations Institute of Insect Sciences, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, China, Ministry of Agriculture Key Lab of Molecular Biology of Crop Pathogens and Insect Pests, Zhejiang University, Hangzhou, China, Key Laboratory of Biology of Crop Pathogens and Insects of Zhejiang Province, Zhejiang University, Hangzhou, China

  • Jiani Chen,

    Roles Software

    Affiliations Institute of Insect Sciences, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, China, Ministry of Agriculture Key Lab of Molecular Biology of Crop Pathogens and Insect Pests, Zhejiang University, Hangzhou, China, Key Laboratory of Biology of Crop Pathogens and Insects of Zhejiang Province, Zhejiang University, Hangzhou, China

  • Lan Pang,

    Roles Visualization

    Affiliations Institute of Insect Sciences, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, China, Ministry of Agriculture Key Lab of Molecular Biology of Crop Pathogens and Insect Pests, Zhejiang University, Hangzhou, China, Key Laboratory of Biology of Crop Pathogens and Insects of Zhejiang Province, Zhejiang University, Hangzhou, China

  • Xiqian Ye,

    Roles Project administration, Validation

    Affiliations Institute of Insect Sciences, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, China, Ministry of Agriculture Key Lab of Molecular Biology of Crop Pathogens and Insect Pests, Zhejiang University, Hangzhou, China, Key Laboratory of Biology of Crop Pathogens and Insects of Zhejiang Province, Zhejiang University, Hangzhou, China

  • Min Shi,

    Roles Funding acquisition, Supervision

    Affiliations Institute of Insect Sciences, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, China, Ministry of Agriculture Key Lab of Molecular Biology of Crop Pathogens and Insect Pests, Zhejiang University, Hangzhou, China, Key Laboratory of Biology of Crop Pathogens and Insects of Zhejiang Province, Zhejiang University, Hangzhou, China

  • Jianhua Huang ,

    Roles Conceptualization, Funding acquisition, Project administration, Supervision, Writing – original draft, Writing – review & editing

    jhhuang@zju.edu.cn

    Affiliations Institute of Insect Sciences, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, China, Ministry of Agriculture Key Lab of Molecular Biology of Crop Pathogens and Insect Pests, Zhejiang University, Hangzhou, China, Key Laboratory of Biology of Crop Pathogens and Insects of Zhejiang Province, Zhejiang University, Hangzhou, China

  • Xuexin Chen

    Roles Conceptualization, Funding acquisition, Supervision, Writing – original draft, Writing – review & editing

    Affiliations Institute of Insect Sciences, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, China, Ministry of Agriculture Key Lab of Molecular Biology of Crop Pathogens and Insect Pests, Zhejiang University, Hangzhou, China, Key Laboratory of Biology of Crop Pathogens and Insects of Zhejiang Province, Zhejiang University, Hangzhou, China, State Key Lab of Rice Biology, Zhejiang University, Hangzhou, China

Abstract

Parasites alter host energy homeostasis for their own development, but the mechanisms underlying this phenomenon remain largely unknown. Here, we show that Cotesia vestalis, an endoparasitic wasp of Plutella xylostella larvae, stimulates a reduction of host lipid levels. This process requires excess secretion of P. xylostella tachykinin (PxTK) peptides from enteroendocrine cells (EEs) in the midgut of the parasitized host larvae. We found that parasitization upregulates PxTK signaling to suppress lipogenesis in midgut enterocytes (ECs) in a non-cell-autonomous manner, and the reduced host lipid level benefits the development of wasp offspring and their subsequent parasitic ability. We further found that a C. vestalis bracovirus (CvBV) gene, CvBV 9–2, is responsible for PxTK induction, which in turn reduces the systemic lipid level of the host. Taken together, these findings illustrate a novel mechanism for parasite manipulation of host energy homeostasis by a symbiotic bracovirus gene to promote the development and increase the parasitic efficiency of an agriculturally important wasp species.

Author summary

Parasitic wasps are ubiquitous on earth and diverse. They lay eggs in or on the bodies of their hosts, and they have evolved adaptive strategies to regulate the energy metabolism of their hosts to match their own specific nutrition requirements. Here, we found that Cotesia vestalis, a solitary endoparasitoid of Plutella xylostella, uses symbiotic bracovirus as a weapon to manipulate host systemic lipid levels. Specifically, a C. vestalis bracovirus (CvBV) gene, CvBV 9–2, is responsible for the induction of PxTK, which in turn suppresses lipogenesis in the midgut of the parasitized host, leading to a nutritional lipid level suitable for the development and subsequent parasitic efficiency of C. vestalis wasps. Our study provides innovative insights into the mechanisms by which parasitic wasps manipulate host lipid homeostasis and may help to expand our knowledge of other parasitic systems.

Introduction

Parasitism is common in nature, and all living organisms are vulnerable to parasites [1]. Parasites depend on their hosts, which provide them with nutrition and habitat, for their development [26]. Thousands or even millions of years of coevolution have driven parasites to display very complex and exquisite strategies to actively manipulate host metabolism to make the host more suitable to sustaining their specific nutritional requirements [711]. Although alteration of host energy homeostasis by parasites is a widespread phenomenon, the underlying mechanisms remain largely unknown.

Parasitic insects, particularly parasitic wasps (also known as parasitoids), lay eggs on or inside the body of the host, and hatched wasp larvae acquire their nutrients directly from the host during all of their immature development, which eventually results in the death of the host [1113]. As such, many parasitoids are used as biological control agents for insect pests. Previous studies have revealed that parasitoids produce various factors, including venom, polydnaviruses (PDVs) and teratocytes, that benefit the survival of wasp offspring by disabling host cellular and humoral immune defenses [1418]. Parasitic factors have also been reported to modify host energy metabolism, which in turn provides the parasite with needed nutrients and leads to successful parasitism [1923].

PDVs are a special type of large double-stranded DNA virus in parasitic insects that do not replicate in infected hosts [15,18,2427]. They are mainly classified into two different genera: bracovirus (BV), a widespread group of braconid parasitoid symbiotic viruses, and ichnovirus (IV), a widespread group of ichneumonid parasitoid symbiotic viruses [18,24,2730]. The life cycle of PDVs is generally divided into two parts: one is in their primary host (the wasp), in which the viral DNAs are dramatically replicated only in the nuclei of ovarian calyx cells of female wasps, and the other is in their secondary host (usually a caterpillar), in which the viruses integrate into host genome and subsequently express the numerous virulence genes to regulate the host physiology [26,27,31]. To date, the genomes of nine BV species and five IV species have been fully sequenced [25,3241]. These studies provided comprehensive information on PDV genes and have accelerated functional investigations of individual virus genes. Recently, it was reported that two PDV genes, VHv1.1 and VHv1.4, members of the Cys-motif gene family of Campoletis sonorensis ichnovirus (CsIV), might affect host cellular immune responses [42], and another PDV gene, TnBVANK1, a member of the viral ankyrin gene family of Toxoneuron nigriceps bracovirus (TnBV), might inhibit host humoral immune responses [43,44]. In addition, some PDV genes have been found to regulate the development of their hosts. For instance, TnBVANK3 is responsible for the arrest of the host larval-pupal transition by impairing the expression of ecdysone biosynthesis genes [45]. However, few studies have focused on the crucial roles of PDV genes in manipulating host energy metabolism.

The intestine is a key endocrine organ and central regulator of nutrient uptake and energy homeostasis. Intestinal lipid metabolism is critical for fine-tuning systemic lipid levels in the larval stage of holometabolous insects [4649]. Recent studies have shown that enteroendocrine cells (EEs) can secrete multiple gut hormones in response to the nutritional status of the organism and orchestrate systemic metabolism [4951]. Tachykinins (TKs) are the most abundant secreted peptides expressed in midgut EEs. The induction of TKs in EE cells inhibits intestinal lipid production and subsequently reduces systemic lipid levels by repressing lipogenesis in intestinal enterocytes (ECs), in association with the TKR99D receptor and protein kinase A (PKA) signaling [49].

Cotesia vestalis (Hymenoptera: Braconidae) is a solitary endoparasitoid of Plutella xylostella, which is a worldwide migratory pest that attacks nearly all cruciferous vegetable crops and causes severe economic losses [5254]. Here, we report a crucial role of a C. vestalis polydnavirus, named C. vestalis bracovirus (CvBV), which reduces host systemic lipid levels. We further found that one CvBV gene, CvBV 9–2, suppressed host lipogenesis by upregulating TK levels within the midgut of the parasitized host larvae. Failure to reduce host lipid levels during parasitism resulted in delayed development of C. vestalis larvae and reductions in the female ratio of wasp offspring and the subsequent ability of the female offspring to parasitize.

Results

Cotesia vestalis parasitization promotes the reduction of host systemic lipid levels

In insects, fatty acids taken in from the diet are absorbed by ECs and resynthesized into lipids and packaged into lipoprotein particles that are transported to fat bodies for storage and other tissues for direct energy supply [5558] (Fig 1A). Parasites have been extensively found to evolve to increase or reduce the systemic lipid levels of their hosts to facilitate their own infection, proliferation, development and reproduction [20,59]. To test whether C. vestalis parasitization affects host P. xylostella lipid metabolism, we measured the whole-body triglyceride (TG) levels in P. xylostella at different immature stages, including the 3rd instar late stage (3L), 4th instar early stage (4E), 4th instar middle stage (4M) and 4th instar late stage (4L). Compared with the nonparasitized larvae, the parasitized P. xylostella host larvae showed a significant reduction in whole-body TG levels at all four stages, with an almost 50% reduction in the 4L stage (Fig 1B). We next evaluated the changes in circulating TG in the host hemolymph post C. vestalis infection and found that the levels were also dramatically decreased in the parasitized P. xylostella larvae at the 3L, 4E and 4M stages (Fig 1C). Interestingly, there was an increase in circulating TG at the 4L stage compared to that in the nonparasitized larvae. In caterpillars, most TGs are stored in the fat body and are essential for surviving periods of starvation and conditions that preclude the uptake of nutrients, such as metamorphosis [60]. Thus, one possible explanation for this observation could be that the fat bodies of the parasitized host larvae were dissolved to release the lipids into the hemolymph at the late fourth stage, indicating that C. vestalis wasp larvae require large amounts of lipid resources for their development at this specific stage.

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Fig 1. Parasitization by Cotesia vestalis influences systematic lipid contents and intestinal lipid droplet accumulation in Plutella xylostella larvae.

(A) Schematic diagram of the procedures for lipid synthesis, transportation, storage and utilization, modified from Kamareddine et al [88]. Tachykinins (TKs) in midgut enteroendocrine cells (EEs) could suppress lipogenesis in intestinal enterocytes (ECs) via TK receptors. (B) Levels of triglycerides (TGs) in C. vestalis-parasitized and nonparasitized host larvae among different developmental stages (n = 10 for each group). Data were analyzed by Tukey’s test. Values represent the means ± SD of three independent experiments (*: p < 0.05; **: p < 0.01; ***: p < 0.001). 3L: Late 3rd instar; 4E: Early 4th instar; 4M: Middle 4th instar; 4L: Late 4th instar. (C) Relative levels of TG in hemolymph from C. vestalis-parasitized and nonparasitized host larvae among different developmental stages (n = 30 for each group). Data were analyzed by Tukey’s test. Values represent the means ± SD of three independent experiments (*: p < 0.05; **: p < 0.01; ***: p < 0.001). (D) Fluorescent images of the middle regions of midguts from 3L, 4E, 4M and 4L C. vestalis-parasitized and nonparasitized P. xylostella larvae. Lipids were stained with BODIPY (green), and nuclei were labeled with DAPI (blue). Scale bars: 100μm.

https://doi.org/10.1371/journal.ppat.1009365.g001

To ascertain whether the decrease in lipid content was a consequence of a decrease in lipid production in the host intestine, we used the neutral lipid dyes Oil Red O and BODIPY to stain the midgut of P. xylostella. The results from both Oil Red O and BODIPY staining showed that neutral lipid droplets (LDs) were most abundant in the ECs located in the middle and posterior regions of the midgut (Figs 1D and S1). Strikingly, we observed a dramatic decrease in the amount of lipid staining in midgut ECs in all four stages after C. vestalis parasitism compared to that of CK. Taken together, our observations indicate that C. vestalis parasitization decreases intestinal lipid production, which results in the reduction of host systemic lipid levels.

PxTK signaling regulates lipid metabolism in the midgut of P. xylostella larvae

We wondered whether lipid metabolism in P. xylostella is regulated by TKs, as described in Drosophila [49]. To address this question, we cloned the full-length cDNA of the P. xylostella tachykinin (PxTK) precursor gene, which has three exons and a total length of 1044 bp (S2A Fig). The predicted PxTK protein has 296 amino acids, including a 29 amino acid signal peptide at the N-terminus (S2B Fig). Six putative P. xylostella TK peptides (PxTKs) were defined by the common flanking dibasic cleavage sites (combinations of K and R). In addition, a conserved C-terminal motif was identified from individual mature peptides with the sequence FxGxR (x is a variable residue) (S3 Fig). To assess the function of PxTKs in P. xylostella larvae, we first characterized the expression profiles of PxTK in the different stages from 3M to 4L. The results show that the level of PxTK gradually increases during P. xylostella development (Fig 2A). We further quantified the levels of PxTK in different tissues from 4L P. xylostella larvae and found that PxTK had the highest expression in the midgut, while the expression of PxTK was also higher in the CNS and testis than in the other tissues (Fig 2B). The results were consistent with previous findings that TK is a brain-gut hormone gene [61,62]. The results of immunofluorescence assays show that PxTK is produced by EEs in the midgut but not by ECs in P. xylostella host larvae (Fig 2C). In particular, more EEs in the middle region of the larval midgut were found to secrete PxTKs than in the anterior and posterior sides (S4 Fig).

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Fig 2. Plutella xylostella TK is highly expressed in the midgut.

(A) Relative mRNA levels of PxTK in P. xylostella larvae among different developmental stages (n = 5 for each group). Values represent the means ± SD of three independent experiments. 3M: Middle 3rd instar; 3L: Late 3rd instar; 4E: Early 4th instar; 4M: Middle 4th instar; 4L: Late 4th instar. (B) Relative mRNA levels of PxTK in eight different tissues of 4L P. xylostella larvae (n = 30 per tissue). Values represent the means ± SD of three independent experiments. (C) Upper panel: Schematic diagram of the P. xylostella larval gut; Lower panel: Localization of TK in the midgut (anti-TK, red). TK was localized in the cytoplasm in EEs (white arrowheads). ECs were labeled by BODIPY (green, yellow arrowheads), and nuclei were labeled by DAPI (blue). Scale bars: 50μm.

https://doi.org/10.1371/journal.ppat.1009365.g002

The receptor for the tachykinin peptide has been cloned in many insect species and is activated by TKs to trigger intracellular Ca2+ mobilization and secondary cAMP accumulation, which in turn stimulate downstream signaling pathways [63,64]. We next cloned the full-length cDNA of the P. xylostella tachykinin receptor (PxTKR), which is a classical G-protein-coupled receptor gene. Two divergent cell expression systems, the mammalian cell line HEK293 and insect cell line Sf21, have been widely used for functional characterization of TK receptors [63]. Here, we constructed a pcDNA 3.1(+)/PxTKR plasmid and transfected it into HEK293 cells. To verify the cell localization of PxTKR, an antibody was generated, and the staining results showed that the PxTKR signal colocalized with the cell membrane (S5 Fig). To confirm whether the cloned PxTKR was the functional receptor for PxTKs, a cAMP assay was performed by adding six putative mature TKs with different concentrations ranging from 10 pM to 100 μM. The results showed that all PxTKs can activate PxTKR in HEK293 cells in a concentration-dependent manner (Figs 3A and S6). Specifically, PxTK1 was the most active peptide, with a 50% effective concentration (EC50) value of 32.0 nM; the next most highly effective TK was PxTK3, with an EC50 value of 87.7 nM. The EC50 values of the two PxTKs were much lower than those of the other TK peptides (Fig 3A). These results strongly suggest that PxTKR is the receptor of PxTKs. Then, we performed RNA interference (RNAi) in P. xylostella larvae to knock down the expression of PxTK and PxTKR. As shown in Fig 3B and 3C, the mRNA levels of PxTK and PxTKR were significantly reduced in the knockdown larvae compared to the control (dsGFP). Strikingly, we observed a dramatic increase in neutral lipid levels in the midgut and whole body after reducing PxTK signaling activity in the EEs of P. xylostella larvae (Fig 3D and 3E). To avoid off-target effects, another nonoverlapping dsRNAs (dsPxTK604-877) were synthesized for PxTK. Similarly, the neutral lipid levels were significantly increased in the dsPxTK604-877-treated whole host larvae (S7 Fig). To determine which mature PxTK peptide was responsible for the regulation of lipid metabolism in the midgut of P. xylostella, six individual synthetic peptides and the mixture were injected into the 3M host larvae. The results show that PxTK1 and PxTK3 could suppress the systemic lipid level, and lipid reduction was also found after injecting the mixture of all six peptides (Fig 3F). Through alignments, we found that the amino acid sequences of PxTK1 and PxTK3 were more similar to each other than to other TKs. There were only two amino acid differences between TK1 and TK3 (S8 Fig). In addition, PxTK2, PxTK 4, PxTK 5 and PxTK6 had different N-terminal motifs, which might influence their affinity for PxTKR. Interestingly, the lipid depressive effects of PxTK3 were concentration dependent, while the depressive effects of PxTK1 were not (S9 Fig). Collectively, our results suggest that two of the PxTKs, TK1 and TK3, regulate lipid metabolism in the midgut through their receptor, PxTKR.

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Fig 3. PxTK/PxTKR signaling plays critical roles in maintaining lipid metabolism.

(A) Dose-response curves of HEK293 cells stably expressing PxTKR and treated with PxTKs. All data were taken from at least three independent experiments. Values represent the means ± SD of three independent experiments. The 50% effective concentration (EC50) for each PxTK peptide is shown on the right. (B) Relative mRNA levels of TK in P. xylostella larvae at 3 days post PxTK silencing with dsGFP treatment as a control (n = 5 for each group). Three biological replicates were performed. Data are the means ± SD; significance was determined by Student’s t-test (***: p < 0.001). (C) Relative mRNA levels of TKR in P. xylostella larvae at 3 days post PxTKR silencing with dsGFP treatment as a control (n = 5 for each group). Three biological replicates were performed. Data are the means ± SD; significance was determined by Student’s t-test (***: p < 0.001). (D) Relative levels of triglycerides (TGs) in midguts from dsPxTK-, dsPxTKR- and dsGFP (CK)-treated P. xylostella larvae at 3 days post microinjection (n = 30 for each group). Data were analyzed by Tukey’s test. Values represent the means ± SD of five independent experiments (***: p < 0.001). (E) Relative levels of TG from the whole body of dsPxTK-, dsPxTKR- and dsGFP (CK)-treated P. xylostella larvae at 3 days post microinjection (n = 10 for each group). Data were analyzed by Tukey’s test. Values represent the means ± SD of three independent experiments (*: p < 0.05). (F) Relative levels of TG from the whole body of P. xylostella larvae at 3 days post microinjection of chemically synthesized individual PxTK peptides (TK1, TK2, TK3, TK4, TK5 and TK6) and their mixture (n = 5 for each group). Data were analyzed by Tukey’s test. Values represent the means ± SD of three independent experiments (**: p < 0.01).

https://doi.org/10.1371/journal.ppat.1009365.g003

C. vestalis parasitization increases PxTK levels in host larvae

Similar to the results in other insect species [49], PxTKs were found to be involved in the lipid metabolism of P. xylostella larvae, and we wondered whether C. vestalis parasitization could affect the expression of the PxTK precursor in host larvae. To elucidate this hypothesis, we performed qRT-PCR analysis of the mRNA expression profiles of PxTK in the parasitized host larvae and nonparasitized larvae as a control. The results show that the mRNA levels of PxTK were significantly upregulated in the parasitized larvae compared to those in the control larvae at all four stages (Fig 4A). We also examined the PxTK expression profiles in the midgut of P. xylostella at the 3L, 4E, 4M and 4L stages. The level of PxTK was highly expressed in the parasitized host midgut compared with the control, revealing that parasitization can increase PxTK expression in the host midgut (Fig 4B). Moreover, we dissected midguts from 3rd late instar P. xylostella larvae and stained them with a PxTK antibody. The results showed that the number of EEs that produced PxTK was significantly increased in the parasitized host midguts than in the control midguts (Fig 4C and 4D). Thus, C. vestalis parasitization leads to an increase in PxTK by upregulating the number of tachykinin-producing EEs in the midgut.

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Fig 4. Cotesia vestalis parasitization upregulates host intestinal TK expression.

(A) Relative mRNA levels of PxTK in C. vestalis-parasitized and nonparasitized host larvae among different developmental stages (n = 5 for each group). Data were analyzed by Tukey’s-test. Values represent the means ± SD of three independent experiments (**: p < 0.01). 3L: Late 3rd instar; 4E: Early 4th instar; 4M: Middle 4th instar; 4L: Late 4th instar. (B) Relative mRNA levels of PxTK in midguts from C. vestalis-parasitized and nonparasitized host larvae at different developmental stages (n = 30 for each group). Data were analyzed by Tukey’s-test. Values represent the means ± SD of three independent experiments (*: p < 0.05; **: p < 0.01). (C) Immunostaining for TK (red) in the middle region of midguts from C. vestalis-parasitized and nonparasitized 3L P. xylostella larvae. Nuclei were labeled by DAPI (blue). Scale bars: 50μm. (D) The number of TK-labeled cells in the middle region of midguts from C. vestalis-parasitized and nonparasitized 3L P. xylostella larvae (n = 8). Data were analyzed by Student’s t-test. Values represent the means ± SD of more than three independent experiments (*: p < 0.05).

https://doi.org/10.1371/journal.ppat.1009365.g004

Reduction of host systemic lipids is important for wasp development

To determine the importance of the reduction of host systemic lipids during parasitism, we microinjected dsRNA of PxTK and PxTKR into parasitized 4E host larvae with dsGFP as the control. The PxTK and PxTKR mRNA levels were significantly decreased after dsRNA injection in the parasitized host (Fig 5A and 5B). We found that the reduction in host whole-body TG levels due to parasitism was largely rescued in the hosts after PxTK and PxTKR dsRNA treatments (Fig 5C). Most importantly, while 90% of the wasp larvae took approximately 9 days to egress from the control hosts to spin a cocoon and pupate, larvae from the parasitized hosts treated with dsPxTK and dsPxTKR exhibited a 1-day delay in pupation (Fig 5D). We also found that the wasp emergence rate was significantly lower in the parasitized hosts after treatment with dsPxTK and dsPxTKR (Fig 5E). Additionally, the ratio of female emerged wasp offspring was reduced when the lipid level was “normal” in the parasitized dsPxTK- and dsPxTKR-treated hosts (Fig 5F). Due to the immune responses of parasitized hosts, wasp offspring may not all survive. Indeed, approximately 20% of the wasp offspring failed to emerge in control hosts, and most of these died in their early pupal stage. However, more wasp offspring died in dsPxTK- and dsPxTKR-treated hosts, and the deaths tended to occur in their late pupal stage, when the reduction in systemic lipids was rescued to normal (S10 Fig). Sex is easy to identify in the late pupal stage, and we found that more female wasps were dead than males in the dsTK- and dsTKR-treated hosts, which might explain why the ratio of emerged female wasp offspring was reduced. It will be both interesting and necessary to investigate the fitness-related effects of host lipid levels for wasps in more depth in future studies.

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Fig 5. Elevation of host lipids influences the development of wasp offspring and the subsequent parasitic ability.

(A) Relative mRNA levels of PxTK in parasitized host larvae at 3 days post PxTK silencing with dsGFP treatment as a control (n = 5 for each group). Data were analyzed by Student’s t-test. Values represent the means ± SD of three independent experiments (**: p < 0.01). (B) Relative mRNA levels of PxTKR in parasitized host larvae at 3 days post PxTKR silencing with dsGFP treatment as a control (n = 5 for each group). Data were analyzed by Student’s t-test. Values represent the means ± SD of three independent experiments (**: p < 0.01). (C) Relative levels of triglycerides (TGs) in nonparasitized, C. vestalis-parasitized, C. vestalis-parasitized plus dsPxTK-treated (P+dsTK), C. vestalis-parasitized plus dsPxTKR-treated (P+dsTKR) and C. vestalis-parasitized plus dsGFP-treated (P+dsGFP) P. xylostella larvae at 3 days post microinjection (n = 10 for each group). Data were analyzed by Tukey’s-test. Values represent the means ± SD of three independent experiments (*: p < 0.05; **: p < 0.01; ns: not significant). (D) The pupation rate of C. vestalis in dsPxTK-treated (blue curve, n = 210), dsPxTKR-treated (purple curve, n = 169), dsGFP-treated (red curve, n = 206) and nontreated (black curve, n = 248) P. xylostella larvae. (E) The wasp emergence rate of C. vestalis in dsPxTK-treated (n = 210), dsPxTKR-treated (n = 169), dsGFP-treated (n = 206) and nontreated (n = 248) P. xylostella larvae. Data were analyzed by 2X2 chi-square-test (*: p < 0.05; ns: not significant). (F) The male: female ratios of C. vestalis that emerged from dsPxTK-treated (n = 147), dsPxTKR-treated (n = 113), dsGFP-treated (n = 162) and nontreated (n = 199) P. xylostella larvae. Data were analyzed by the 2X2 chi-square test (*: p < 0.05; **: p < 0.01; ns: not significant). (G) The parasitism rates of female C. vestalis that emerged from dsPxTK-treated (n = 242), dsPxTKR-treated (n = 242), dsGFP-treated (n = 233) and nontreated (n = 250) P. xylostella larvae. Data were analyzed by the 2X2 chi-square test (*: p < 0.05; **: p < 0.01; ***: p < 0.001; ns: not significant).

https://doi.org/10.1371/journal.ppat.1009365.g005

To determine whether the parasitic ability of female wasp offspring was affected by the host lipid levels, we used 3-day-old well-mated female C. vestalis that emerged from dsPxTK- and dsPxTKR-treated hosts and from dsGFP-treated controls to parasitize the P. xylostella larvae. The results show that wasps emerging from dsPxTK- or dsPxTKR-treated hosts have reduced parasitic efficiency (Fig 5G), indicating that fecundity is largely impaired.

Taken together, these results suggest that a reduction in host lipids during parasitism is necessary for the accurate timing of wasp development, the survival of female wasps, and their subsequent parasitic efficiency.

CvBV is responsible for PxTK-mediated lipid reduction in parasitized P. xylostella larvae

C. vestalis has three parasitic factors, namely, venom and a symbiotic C. vestalis bracovirus (CvBV) that are injected into the host with the egg during oviposition and a special group of cells called teratocytes that are produced during embryogenesis and are released into the host when the C. vestalis eggs hatch [22,65,66]. To identify which parasitic factors were responsible for the lipid reduction of the parasitized P. xylostella larvae, we measured the TG contents of pseudoparasitized host larvae. In pseudoparasitization, irradiated female wasps (cobalt-60 for 1 h at a dosage of 100 Gy) lay eggs that are unable to hatch; therefore, analysis of pseudoparasitized hosts allows exclusion of the function of teratocytes. Interestingly, we found that the pseudoparasitized host had a lipid reduction in the 3L, 4E, 4M and 4L stages (Fig 6A), similar to the observations in P. xylostella larvae parasitized by normal C. vestalis (Fig 1B). Then, we analyzed the PxTK expression levels in pseudoparasitized P. xylostella at different immature stages. Corresponding to TG reduction, PxTK levels were upregulated (Fig 6B), which was also similar to the normally parasitized host (Fig 1C). Overall, these results suggest that venom and/or CvBV, but not teratocytes, may have an effect on host systemic lipid reduction by upregulating PxTK expression.

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Fig 6. Symbiotic bracovirus affects host lipid levels.

(A) Levels of triglycerides (TGs) in C. vestalis-pseudoparasitized and nonparasitized host larvae at different developmental stages (n = 10 for each group). Data were analyzed by Tukey’s test. Values represent the means ± SD of three independent experiments (*: p < 0.05; **: p < 0.01). 3L: Late 3rd instar; 4E: Early 4th instar; 4M: Middle 4th instar; 4L: Late 4th instar. (B) Relative mRNA levels of PxTK in C. vestalis-pseudoparasitized and nonparasitized host larvae at different developmental stages (n = 5 for each group). Data were analyzed by Tukey’s-test. Values represent the means ± SD of three independent experiments (**: p < 0.01). (C) Levels of TG in 3L P. xylostella larvae after CvBV injection at a dose of 0.05 FE (female equivalents) per host larva (n = 10 for each group). Data were analyzed by Student’s t-test. Values represent the means ± SD of three independent experiments (**: p < 0.01). (D) Fluorescent images of midguts from P. xylostella larvae with or without CvBV injection. Lipids were stained with BODIPY (green), and nuclei were labeled with DAPI (blue). Scale bars: 100 μm. (E) Relative mRNA levels of PxTK in whole larvae and midguts from P. xylostella larvae with or without CvBV injection (n = 5 for each group). Data were analyzed by Student’s t-test. Values represent the means ± SD of three independent experiments (*: p < 0.05; ***: p < 0.001).

https://doi.org/10.1371/journal.ppat.1009365.g006

We next injected C. vestalis venom and CvBV at a dosage of 0.05 FE (female equivalents) per host larva, dosages mimicking those in the real parasitic process [67]. We found a reduction in host lipids and an elevation in PxTK levels at 24 hours after CvBV injection (Fig 6C, 6D and 6E), and whereas venom failed to induce any changes (S11 Fig). Collectively, these results suggest that C. vestalis bracovirus, but not venom, is responsible for PxTK-mediated lipid reduction in parasitized P. xylostella larvae.

CvBV 9–2 is necessary for lipid reduction in parasitized P. xylostella larvae

Whole-transcriptome RNA-seq of the midgut of C. vestalis-parasitized host larvae at 3L, 4E and 4M revealed a total of 63 CvBV genes expressed in all three stages, and differential expression analysis identified three genes, CvBV 22–6, CvBV 9–5 and CvBV 9–2, that were highly expressed at all timepoints (S12 Fig). The BLAST P results showed that the three viral genes were highly conserved in the PDVs of diverse Cotesia wasp species. Most importantly, none of the three genes have any conserved domains, and their functions are largely unknown. We next used qPCR to detect the expression profiles of these viral genes in different host tissues. The qPCR results confirmed the above transcriptome data showing that CvBV 22–6, CvBV 9–5 and CvBV 9–2 had high expression levels in host guts (S13 Fig). In addition, CvBV 22–6 was also highly expressed in the tissues of hemocytes and testes. We further used RNAi technology to identify their functions during the parasitism process. As shown in Fig 7A–7C, the mRNA levels of CvBV 22–6, CvBV 9–5 and CvBV 9–2 were significantly decreased after RNAi compared to the control (dsGFP). Strikingly, we observed a dramatic rescue of TG levels in parasitized whole larvae after knocking down CvBV 9–2, but not CvBV 22–6 or CvBV 9–5 (Fig 7D). To confirm this result, we used the Bac-to-Bac system to microinject the pFastBac-CvBV 9–2 virion into the 3M host larvae to mimic CvBV 9–2 exposure during parasitism and found a similar host systemic lipid reduction as in the parasitized larvae. Compared with that of the pFastBac virion-infected control host, the level of PxTK was high in the pFastBac-CvBV 9–2 virion-infected host larvae (Fig 7E, 7F and 7G). Thus, CvBV 9–2 may directly upregulate PxTK expression in the host midgut, which in turn manipulates lipid production in parasitized host larvae.

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Fig 7. A bracovirus gene, CvBV 9–2, is responsible for host lipid level reduction.

(A) Relative mRNA levels of CvBV 9–2 in parasitized P. xylostella larvae at 1 day post CvBV 9–2 silencing with dsGFP treatment as a control (n = 5 for each group). Data were analyzed by Student’s t-test. Values represent the means ± SD of three independent experiments (*: p < 0.05). (B) Relative mRNA levels of CvBV 9–5 in parasitized P. xylostella larvae at 1 day post CvBV 9–5 silencing with dsGFP treatment as a control (n = 5 for each group). Data were analyzed by Student’s t-test. Values represent the means ± SD of three independent experiments (**: p < 0.01). (C) Relative mRNA levels of CvBV 22–6 in parasitized P. xylostella larvae at 1 day post CvBV 22–6 silencing with dsGFP treatment as a control (n = 5 for each group). Data were analyzed by Student’s t-test. Values represent the means ± SD of three independent experiments (***: p < 0.001). (D) Relative levels of triglycerides (TGs) in nonparasitized, C. vestalis-parasitized, C. vestalis-parasitized plus dsCvBV 9-2-treated (P+dsCvBV9-2), C. vestalis-parasitized plus dsCvBV 9-5-treated (P+dsCvBV9-5) and C. vestalis-parasitized plus dsGFP-treated (P+dsGFP) P. xylostella larvae 1 day post injection (n = 15 for each group). Data were analyzed by Tukey’s-test. Values represent the means ± SD of three independent experiments (*: p < 0.05; **: p < 0.01; ns: not significant). (E) Relative levels of TG in P. xylostella larvae 1 day post injection with BacCvBV 9–2 and BacGFP (control) (n = 15 for each group). Data were analyzed by Student’s t-test. Values represent the means ± SD of three independent experiments (*: p < 0.05). (F) Fluorescent images of midguts from P. xylostella larvae 1 day post injection with BacCvBV 9–2 and BacGFP. Lipids were stained with BODIPY (green), and nuclei were labeled with DAPI (blue). Scale bars: 100μm. (G) Relative mRNA levels of PxTK in the whole body and midgut of P. xylostella larvae 1 day post injection with BacCvBV 9–2 and BacGFP, respectively (n = 5 for each group). Data were analyzed by Student’s t-test. Values represent the means ± SD of three independent experiments (**: p < 0.01).

https://doi.org/10.1371/journal.ppat.1009365.g007

Discussion

Host lipids provide the source of energy and essential fatty acids for parasite survival [10,6870]. Parasitism-induced changes in host lipid metabolism have been widely reported [7073]. A range of protozoan parasites are well documented in both experimental and clinical infections to alter lipid biosynthesis in mammals [5,10,74]. For example, Trypanosoma cruzi infection is associated with decreased serum lipids along with increased low-density lipoprotein (LDL) and cholesterol in tissues [75]. In this study, we have shown that host P. xylostella lipid homeostasis is largely impaired and host systemic lipid amounts are reduced after C. vestalis parasitization, indicating that changes in lipid metabolism in response to “infection” are a broad event in both vertebrates and invertebrates.

Lipids are among the most important nutrients to parasitoids and facilitate infection, development and reproduction [59,70]. Parasitoids are generally incapable of de novo lipid synthesis. Instead, they acquire lipid nutrition, usually TGs, directly from their hosts and usually share similar sets of lipid metabolites with their hosts [70,76]. Accumulating evidence has shown that parasitoids can modify host lipid metabolism to promote their development and maturity [7781]. For example, Lysiphlebia japonica parasitization causes a sharp increase in TG levels in the body of the Aphis gossypii host, which is necessary for L. japonica growth and reproduction [80]; similarly, the parasitoid Chelonus inanitus also causes an accumulation of lipids in the whole body of the Spodoptera littoralis host, which is crucial for parasitoid survival [82,83]. Recently, a lipidomics study revealed that the endoparasitoid wasp Pteromalus puparum increases TG levels in different tissues of the parasitized host, such as the fat body and hemolymph [77]. In contrast to these previous reports, we found that parasitized P. xylostella host larvae exhibit reduced whole-body TG levels at all stages post C. vestalis infection. Interestingly, the circulating TG in host hemolymph was significantly increased at the 4L stage in parasitized compared to nonparasitized larvae. The differences in manipulation strategies might reflect the different parasitic and feeding strategies of the parasitoids. C. vestalis is a hemolymph feeder and does not consume all the host resources prior to pupation, which is significantly different from some other parasitoids that have a tissue feeder strategy and consume all the host resources to pupate. Our results also suggest that C. vestalis needs more TG nutrition in host hemolymph at the 4L stage. Indeed, the C. vestalis larvae reach their mature stage and egress from the 4L host to spin a cocoon and pupate. Moreover, some studies have shown that wasp parasitization causes hyperlipidemia by lysis of host fat body cells [20,73,84].

TGs are primarily stored within the fat body of hosts and are probably the largest lipid resources for the developing larvae of parasitoids [7,13,70,85]. Although we focused on the principal lipid nutrient, TGs, it is likely that other lipids are also regulated by C. vestalis infection, because lipids such as sterols and phospholipids are important for insect hormone synthesis and cell membrane structure maintenance [55,86,87]. It will be necessary to utilize novel techniques, such as lipidomics analysis, to comprehensively investigate the changes in all types of lipids in P. xylostella post wasp infection and to determine the most important lipids in the context of parasitoid-host interactions in future studies.

To determine the mechanisms underlying the reduction in host lipid levels caused by C. vestalis, we cloned the PxTK gene and deduced six mature PxTKs, which were processed and secreted from the midgut enteroendocrine cells of the host P. xylostella larvae. Using the RNA interference technique, we successfully reduced the expression of PxTK and its receptor, PxTKR, in host larvae and found that loss of TKs resulted in an increase in lipid production, which was similar to previous reports in Drosophila. Then, we microinjected chemically synthesized PxTKs into P. xylostella larvae and found that exogenous PxTK1 and PxTK3 could induce lipid reduction, but addition of the other four mature PxTKs did not. Most importantly, we found that C. vestalis parasitization could increase the expression of PxTK by upregulating the number of EEs in the midgut. These results suggest that the induction of PxTK in the P. xylostella midgut is required for systemic lipid reduction upon C. vestalis parasitization. Our study also reveals that development and subsequent parasitic efficiency were impaired for wasps emerging from dsPxTK- and dsPxTKR RNAi-treated hosts whose systemic lipid levels were higher than normal. It is likely that PxTK and PxTKR are involved in other physiological processes in P. xylostella larvae, as we have shown that TK was also highly expressed in the CNS and some other tissues. As such, specifically knocking down the PxTK and PxTKR genes in EEs in the host midgut instead of the systemic knockdown performed in this study would be a more accurate approach to investigate whether the observed effects on the parasitoid are due to altered TG levels alone. However, unlike D. melanogaster, P. xylostella is not a model insect, and reagents for knocking down genes in a specific tissue are lacking.

C. vestalis has several weapons that allow it to manipulate host energy metabolism, including venom, CvBV and teratocytes [22,65,66]. CvBV virions assemble in the ovary calyx of female wasps and are injected into P. xylostella larvae along with the wasp eggs during oviposition. The virions have been found to infect most host immune cells and some other tissue cells [31,67]. Here, we show that CvBV could successfully infect P. xylostella midgut cells. Our transcriptome data revealed that 63 CvBV genes were expressed in the infected host midgut, with three genes, CvBV 22–6, CvBV 9–5 and CvBV 9–2, having consistently high expression profiles. Our functional analysis further indicated that only CvBV 9–2 is necessary to lower systemic lipid levels in parasitized P. xylostella larvae. Moreover, CvBV 9–2 is responsible for the elevation of PxTK expression in the midgut EEs of the parasitized host. However, we only tested the function of these three genes with higher expression levels in this study, and we cannot rule out the possibility that some other CvBV genes might also affect host systemic lipid levels. Whether CvBV 9–2 is the key causative agent remains to be tested.

In conclusion, we discovered a strategy in which parasites interact with host midgut EEs to reduce host lipid production, which is necessary for parasite development and parasitic ability, via upregulation of PxTK signaling. The polydnavirus gene CvBV 9–2 might cause the overexpression of PxTKs in the host midgut (Fig 8). These findings provide innovative insights into the mechanisms by which parasitic wasps manipulate host lipid homeostasis and may help to expand our knowledge of other parasitic systems and develop therapeutic strategies for human diseases, including malaria, trypanosomiasis, leishmaniosis and other human parasitic protozoa-caused diseases.

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Fig 8. Model for manipulation of host tachykinin signaling and lipid metabolism by a C. vestalis bracovirus gene, CvBV 9–2.

Schematic diagram of a model for the processes by which a C. vestalis bracovirus gene, CvBV 9–2, reduces the lipid level of P. xylostella larvae by upregulating intestinal TK expression. During parasitism, C. vestalis bracovirus is injected into P. xylostella larvae along with the eggs and then infects the different host tissues. A bracovirus gene, CvBV 9–2, is responsible for the induction of PxTK in enteroendocrine cells of the host midgut. Thus, the increase in PxTK restrains lipid production in enterocyte cells through the PxTK receptor. The reduction in host lipids during parasitism is important for the development of C. vestalis larvae, female wasp survival and subsequent parasitic efficiency.

https://doi.org/10.1371/journal.ppat.1009365.g008

Materials and methods

Insects

The P. xylostella and C. vestalis used in this study were reared as previously described [22]. Briefly, P. xylostella was reared on cabbage at 25 ± 1°C, 65% ± 5% relative humidity, and a 14 hour light:10 hour dark photoperiod. C. vestalis was reared by allowing adult females to parasitize mid-3rd instar (3M) P. xylostella larvae. For pseudoparasitism, female C. vestalis adults were irradiated with cobalt-60 for 1 hour at a dose of 100 Gy. All adult wasps were fed on a 20% honey/water (V/V) solution.

Cell lines

Human embryonic kidney 293 (HEK293) cells were maintained at 37°C in 5% CO2 in basic DMEM (Gibco) plus 10% fetal bovine serum (FBS, Gibco). Spodoptera frugiperda (Sf-9) insect cells were maintained in 100 mm culture dishes in Sf900 II serum-free medium (Invitrogen) at 27°C under ambient atmosphere.

Subcloning of PxTK, PxTKR and CvBV genes

Nonparasitized or parasitized P. xylostella larvae were homogenized, and total RNA was extracted with the Total RNA Extraction Reagent Kit (Vazyme) according to the manufacturer’s instructions. The quality and concentration of the isolated total RNA were estimated by electrophoresis and a NanoDrop 2000 (Thermo Fisher Scientific). Then, complementary DNA was synthesized using a PrimeScript 1st Strand cDNA Synthesis Kit (Takara) according to the manufacturer’s instructions. The entire coding regions of the PxTK, PxTKR and CvBV genes were cloned and inserted into the pGEM-T Easy Vector (Promega). All constructs were sequenced to verify the identity of the sequences. The primers used are listed in S1 Table.

Peptide synthesis, injection and antibody preparation

P. xylostella tachykinin peptides (PxTKs) were synthesized by Sangon Biotech, and their sequences are listed in S2 Table. Purification of PxTKs was performed by reversed-phase high-performance liquid chromatography (HPLC) using a 30-min linear gradient of 100% acetonitrile and 0.1% trifluoroacetic acid at a flow rate of 1.0 ml/min. Elution was monitored by absorbance at 214 nm, and the purities were ≥95%. The molecular weight of each peptide was measured by mass spectrometry.

To confirm the function of each PxTK peptide, approximately 1 ng of each peptide and their mixture were injected into mid-3rd instar (3M) P. xylostella larvae per day. The peptide injections were performed once per day for 3 consecutive days. After injections, the P. xylostella larvae were homogenized, and the samples were prepared for detection of the lipid contents.

The polyclonal antibodies used in this study were designed and synthesized by ABclonal Technology Company. Briefly, the anti-PxTKR antibody was raised against one portion of the C-terminus of PxTKR (CGALDRGGLSRHRAFGPER). The anti-PxTK antibody was raised against PxTK1 (APSGFLGMR). Both peptides were synthesized with N-terminal cysteine (underlined) to enable coupling of maleimide-coupled KLH (keyhole limpet hemocyanin). Then, two rabbits were immunized with each peptide, and the serum was purified by the affinity purification method. The purified antibodies were confirmed by dot blotting at a concentration of 1:1000 (100 ng antigen) before use.

Preparation of recombinant transfection vectors

Amplified products of PxTKR were excised from the pGEM-T Easy Vector and introduced into the pcDNA 3.1(+) vector (Invitrogen) using the restriction sites for expression in mammalian HEK293 cells. The primers used for PCR are shown in S1 Table. The Kozak sequence (GCCACC) was added to the forward primer of PxTKR, allowing efficient, high-level expression of the recombinant protein in HEK293 cells. The recombinant vectors were confirmed by PCR using a pair of universal primers (S1 Table).

To generate the expression vectors, CvBV 9-2- and GFP-amplified products were cloned from the pGEM-T Easy Vector and introduced into the pFastBac HTB vector (Invitrogen) using homologous recombination sites (ClonExpress II One Step Cloning Kit, Vazyme) according to the manufacturer’s instructions. The primer sequences used for PCR are shown in S1 Table. E. coli DH10 cells (Invitrogen) were transformed with the above plasmids and helper plasmids to generate recombinant bacmids encoding the CvBV 9–2 and GFP viruses. The recombinant bacmids were confirmed by PCR using a pair of universal primers (S1 Table). All constructs were sequenced to verify the correct sequences and orientations.

Cell transfection

To establish a stable HEK293/PxTKR cell line, HEK293 cells were seeded in 30 mm culture dishes (to 80% confluence) and transfected with 2.5 μg of PxTKR/pcDNA 3.1(+) plasmid using a Lipofectamine 3000 Kit (Invitrogen) according to the manufacturer’s instructions. Forty-eight hours later, the transfected cells were reseeded in 100 mm dishes and selected with DMEM plus 10% fetal bovine serum and G418 (Invitrogen) at a final concentration of 800 mg/L. Three weeks later, the cells that were supposed to stably express PxTKR were confirmed by PCR using the HindIII-PxTKR-F and Xhol-PxTKR-R primers in S1 Table and sequenced.

To obtain the CvBV 9–2 and GFP viruses, the Bac-to-Bac Baculovirus Expression Vector System (Invitrogen) was used according to the manufacturer’s instructions. Briefly, Sf-9 cells were seeded in a 6-well format with 2 ml Sf900 II serum-free medium. The Sf-9 cells were considered ready to use when they were in the log phase (1.5–2.5 × 106 cells/ml) with greater than 95% confluence. Then, 8 μl Cellfectin II, 1 μl baculovirus DNA and 200 μl Sf900 II serum-free medium were added together and gently vortexed to ensure complete mixing. The DNA-lipid mixture was incubated for 15–30 minutes at room temperature, added to Sf-9 cells and incubated at 27°C for 3–5 hours. Finally, the transfection mixture was removed and replaced with 2 ml Sf900 II serum-free medium, and the cells were incubated at 27°C for another 72 hours.

Bacmid purification and injection

After transfection, the medium containing virus was transferred to sterile 15-ml snap-cap tubes and centrifuged at 800 × g for 10 minutes at 4°C to remove cells and large debris. The pure supernatant containing virus was transferred to 1.5 ml tubes and centrifuged at 20,000 × g for 1 hour to obtain a high concentration of CvBV 9–2 or GFP virus. In each experiment, approximately 104 copies of virus were injected into 3M P. xylostella larvae. The titer of each virus was determined by qPCR. RNA samples of homogenates from whole bodies or midguts were extracted at 1 day post injection to detect the expression level of PxTK. In addition, at 1 day after injection, the midguts or whole bodies of host P. xylostella larvae were homogenized to assay the lipid contents.

cAMP assays

The cAMP assays were performed as previously described using the cAMP-Glo assay kit (Promega). Briefly, HEK293/PxTKR cells were aliquoted into a 96-well plate at a density of 10,000 and then incubated overnight at 37°C in 5% CO2. Subsequently, the cells were treated with cAMP stabilizers as follows: 0.5 mM 3-isobutyl-1-methylxanthine buffer (IBMX) (Sigma-Aldrich, I5879; dissolved in 1x PBS, pH 7.2) alone for 15 minutes; 10 μM forskolin (Sigma-Aldrich, F6886; dissolved in 1x PBS, pH 7.2) plus 0.5 mM IBMX for 15 minutes; or 10 pM to 10 μM (10−11–10−4 mol/L, serials of ten times dilution in 1x PBS, pH 7.2) of each individual PxTK plus 0.5 mM IBMX for 15 minutes, all at room temperature. After stimulation, cells were processed for the cAMP Glo assay as per the manufacturer’s instructions (Promega, V1502). Luminescence was measured using a microplate reader (BIO-RAD). The luminescence signal of stimulated cells was subtracted from that of cells exposed to 1x PBS (with 0.5 mM IBMX), and the ranges of the cAMP response of HEK293/PxTKR cells to all concentrations of PxTKs to forskolin were calculated. Nonlinear fitting curves were produced using GraphPad Prism 8.3.

Expression analysis by qPCR

To analyze PxTK expression levels in different instar P. xylostella larvae, RNA samples of overall homogenates were extracted individually from mid-3rd instar (3M) larvae, late-3rd instar (3L) larvae, early-4th instar (4E) larvae, mid-4th instar (4M) larvae and late-4th instar (4L) larvae. To analyze PxTK expression levels in different tissues of the 4L larvae, hemolymph was collected by bleeding the 4L larvae from a cut preleg, and the epidermis, silk gland, fat body, midgut, central nervous system (CNS), Malpighian tubule (MT), and testis were dissected and collected under a dissecting microscope (ZEISS) in 1X PBS. RNA was extracted from different tissues. cDNA was prepared from the extracted RNAs using ReverTra Ace qPCR RT Master Mix with a gDNA Remover kit (Toyobo) according to the manufacturer’s instructions. qPCR reactions were conducted on a CFX Connect real time system (BIO-RAD) using THUNDERBIRD qPCR Mix (Toyobo). Each qPCR was performed for at least three biological replicates under the following conditions: 95°C for 60 sec, followed by 40 cycles of 95°C for 15 sec and 60°C for 30 sec. The Px-β-Tubulin gene (GenBank accession No. EU127912) and Px-β-Actin gene (GenBank accession No. NM_001309101) of P. xylostella were used as internal controls. The primer sequences used for qPCR analysis are shown in S1 Table. The relative expression levels were analyzed using the 2-ΔΔCt method.

CvBV and venom collection, and injection

To assess whether CvBV and/or venom are responsible for the decreased lipid levels in parasitized P. xylostella larvae, CvBV and venom were collected from female wasps as previously described. The ovaries of 4-day-old C. vestalis female wasps were dissected in 1X PBS on ice, and the calyxes were punctured individually. The calyx fluid was filtered using a 0.22 μm filter to remove cellular debris and centrifuged at 20,000 × g for 1 hour. The viral particle pellet was resuspended in PBS. The venom reservoirs of 4-day-old C. vestalis female wasps were dissected in 1X PBS on ice, and the reservoirs were punctured individually. The venom fluid was centrifuged at 2,000 × g for 10 min to remove cellular debris. All samples were stored in a −80°C refrigerator for further usage. The viral particles and venom fluid collected from a single female adult was defined as one FE (female equivalent). To infect host larvae, 0.05 FE CvBV particles or venom was injected into 3M P. xylostella larvae. RNA samples of overall homogenates or midguts were extracted individually at 1 day post injection to detect the expression level of PxTK. In addition, at 1 day after injection, the midgut or whole body of P. xylostella larvae were homogenized to assay the lipid contents.

RNA interference

For RNAi, 200~500 bp DNA fragments of the target genes were PCR amplified from the relevant plasmids as templates. Forward and reverse primers containing T7 promoter sequences at their 5’ end were used for PCR amplification of the double-stranded RNA (dsRNA) templates (S1 Table). dsRNA was synthesized using a T7 RiboMAX Express Kit (Promega) according to the manufacturer’s instructions. To avoid off-target effects, two nonoverlapping dsRNAs were synthesized for PxTK. The length of the PxTK open reading frame (ORF) is 891 bp, the first dsRNA that we designed for PxTK silencing is from the 85 bp position to the 600 bp position on the PxTK ORF (dsPxTK), and the second dsRNA for PxTK silencing is from the 604 position to the 877 bp position (dsPxTK604-877). However, one dsRNA was synthesized for PxTKR silencing in this study (dsPxTKR). A 328-bp coding sequence from green fluorescent protein (GFP) was used as a control dsRNA (dsGFP). The dsRNA was quantified using a NanoDrop 2000 spectrophotometer (Thermo Scientific). A total of 1 μg dsRNA was injected into each P. xylostella larva using the Eppendorf FemtoJet 4i Microinjector with the following parameters: injection pressure = 900 hPa; injection time = 0.15 sec. At least three biological replicates were performed.

TG content measurements

TG measurements were performed as previously described. Briefly, whole bodies, hemolymph and midguts were collected and homogenized in 1X PBS with 0.1% Triton. All the samples were centrifuged at 14,000 rpm for 10 minutes, and the supernatants were heated at 70°C for 5 minutes. The TG content was measured by using Serum TG determination kits (Sigma) and was normalized to the protein amounts in each homogenate, which were measured by using Bradford Reagent (Invitrogen). Experiments were repeated at least three times.

Lipid staining, immunostaining and microscopy

For lipid staining, P. xylostella larvae were dissected in 1X PBS, and the midguts were fixed in 4% formaldehyde in 1X PBS for 20 minutes. After fixation, the samples were washed with 1X PBST (1X PBS containing 0.1% Triton) 3 times for 5 minutes each. The samples were incubated for 30 minutes in a 1:1000 dilution of 1 mg/ml BODIPY 493/503 (Invitrogen) in 1X PBS and then rinsed twice with 1X PBS. Stained samples were mounted in ProLong Gold Antifade Mountant with DAPI (Invitrogen).

For immunostaining, P. xylostella larvae were dissected in 1X PBS, and the midguts were fixed in 4% formaldehyde in 1X PBS for 20 minutes. Fixed tissues were washed 3 times with 1X PBST for 10 minutes each and then blocked in 1% BSA for 3 hours at room temperature. Samples were incubated with primary antibody overnight at 4°C and washed 3 times with 0.1% PBST for 5 minutes per wash. Samples were then incubated in secondary antibody for 1 hour at room temperature and washed 3 times with 1X PBST for 5 minutes each. Tissues were mounted in ProLong Gold Antifade Mountant with DAPI (Invitrogen). All experiments were repeated at least three times. Fluorescent images were captured by Zeiss LSM 800 laser confocal microscopy and edited using ImageJ (NIH) software.

Transcriptome analysis

The midguts of the 3L, 4E and 4M instar P. xylostella larvae were dissected under a microscope in 1X PBS on ice. Total RNA was isolated using TRIzol reagent according to the manufacturer’s instructions. The quality and concentration of the isolated total RNA were estimated by electrophoresis and a NanoDrop 2000. The midgut transcriptomes were produced by ANOROAD. cDNA libraries for transcriptome sequencing made from total RNA of 3L, 4E and 4M midguts were prepared using the NEBNext Ultra RNA Library Prep Kit (NEB #E753) for Illumina in conjunction with the NEBNext Poly(A) mRNA Magnetic Isolation Module (NEB #E7490). Libraries were validated and quantified before being pooled and sequenced on an Illumina HiSeq 2000 (Illumina) sequencer with a 200 bp paired-end protocol. Sequences were de novo assembled using Trinity on a Galaxy Portal, and both ends were sequenced. The raw reads were cleaned by removing adaptor sequences, empty reads and low-quality sequences (reads with unknown sequences ‘N’).

Wasp offspring development and subsequent parasitic rate

Female C. vestalis wasps were allowed to parasitize P. xylostella larvae. At 60 hours after infection, the parasitized larvae were microinjected with dsRNAs, including dsTK, dsTKR and dsGFP (control). Then, we recorded the time for wasp pupation and the number of emerged male and female adults to calculate the pupation rate, wasp emergence rate and female/male ratio for each treatment. To assess the parasitic ability of the new wasp, eclosed female C. vestalis from different groups were used to parasitize 3M P. xylostella host larvae for 1 hour. After infection, the hosts were kept in a 25°C incubator until the wasps emerged. The parasitic rate was calculated using the following formulas: parasitic rate = (number of hosts–number of emerged P. xylostella)/number of hosts.

Statistical analysis

All statistical analyses were performed using SPSS 16.0 software (one-way ANOVA). Data are expressed as the means ± SD, and each treatment had more than three biological replicates. The data, including the gene expression levels and TG contents, were analyzed by Tukey’s test, with a significance threshold of p < 0.05. The data showing the wasp emergence rate, male: female ratio and parasitism rate were analyzed by 2X2 chi square, with a significance threshold of p < 0.05 (* represents p<0.05; ** represents p<0.01; *** represents p<0.001; ns: not significant).

Supporting information

S1 Fig. C. vestalis parasitization affects host lipid contents in midguts.

Light microscope images of midguts from 3L, 4E, 4M and 4L C. vestalis-parasitized and nonparasitized P. xylostella larvae. The different regions of 4L midguts were labeled. Lipid was stained by Oil Red O. Scale bars: 500 μm. 3L: Late 3rd instar; 4E: Early 4th instar; 4M: Middle 4th instar; 4L: Late 4th instar.

https://doi.org/10.1371/journal.ppat.1009365.s001

(TIF)

S2 Fig. Gene structure and deduced amino acid sequence of P. xylostella tachykinin.

(A) The P. xylostella tachykinin (PxTK) transcript has three exons, and their nucleotide lengths are 73 bp, 855 bp and 116 bp. (B) The underlined amino acids indicate the putative signal peptide of PxTK. The gray labeled amino acids indicate the predicted mature PxTK peptides. Predicted amination amino acids (G) with dibasic cleavage sites (combinations of K and R) are in bold italics.

https://doi.org/10.1371/journal.ppat.1009365.s002

(TIF)

S3 Fig. Alignments of TK mature peptides of P. xylostella with other insects.

A conserved C-terminal motif is identified from each mature peptide with the sequence FxGxR (x is a variable residue). PxTK: Plutella xylostella tachykinin peptide; BmTRP: Bombyx mori tachykinin-related peptide; DTK: Drosophila melanogaster tachykinin peptide.

https://doi.org/10.1371/journal.ppat.1009365.s003

(TIF)

S4 Fig. P. xylostella TK is highly expressed in the middle region of the midgut.

(A) Immunostaining for TK (red) in the whole midgut from 3L P. xylostella larvae. Nuclei were labeled by DAPI (blue). Scale bar: 500 μm. The number of TK-labeled cells was greater in the middle region of the P. xylostella midgut (C) than in the anterior (B) and posterior parts (D). The TK-secreting cells are indicated by arrowheads in B, C and D. Scale bars: 50 μm. 3L: Late 3rd instar.

https://doi.org/10.1371/journal.ppat.1009365.s004

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S5 Fig. Cloning and expression of the PxTK receptor in HEK293 cells.

P. xylostella tachykinin receptor (PxTKR) was subcloned into the pcDNA 3.1(+) plasmid and then transfected into HEK293 cells. PxTKR was localized on the membrane in HEK293/PxTKR cells but not in HEK293 control cells (anti-TKR, red). Nuclei were labeled by DAPI (blue). Scale bars: 20 μm.

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S6 Fig. Modulation of intracellular cAMP levels in HEK293 cells stably expressing PxTKR.

Relative cAMP levels of HEK293 cells with PxTKR expression when treated with the indicated compounds at a dose of 10 μM. The tested PxTK peptides were TK1, TK2, TK3, TK4, TK5 and TK6. Forskolin was used as a positive control. Data were analyzed by Tukey’s test. Values represent the means ± SD of more than three independent experiments (**: p < 0.01; ***: p < 0.001).

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S7 Fig. Silencing PxTK results in an elevation of lipid level in P. xylostella larvae.

(A) Relative mRNA levels of TK in P. xylostella midgut at 3 days post PxTK604-877 dsRNA silencing with dsGFP treatment as a control (n = 5 for each group). Three biological replicates were performed. Data are the means ± SD; significance was determined by Student’s t-test (***: p < 0.001). (B) Relative levels of triglycerides (TGs) from dsPxTK604-877- and dsGFP (control)-treated P. xylostella larvae at 3 days post microinjection (n = 30 for each group). Data were analyzed by Tukey’s test. Values represent the means ± SD of five independent experiments (***: p < 0.001).

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S8 Fig. The alignment of six mature P. xylostella TKs.

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S9 Fig. Microinjection of PxTK1 or PxTK3 into P. xylostella larvae could reduce lipid levels.

(A) Relative levels of triglycerides (TGs) from the whole body of P. xylostella larvae at 3 days post microinjection of chemically synthesized PxTK1 at different dosages (n = 5). Data were analyzed by Tukey’s test. Values represent the means ± SD of five independent experiments (*: p < 0.05; **: p < 0.01). (B) Relative levels of TG from the whole body of P. xylostella larvae at 3 days post microinjection of chemically synthesized PxTK3 at different dosages (n = 5). Data were analyzed by Tukey’s test. Values represent the means ± SD of five independent experiments (**: p < 0.01; ***: p < 0.001).

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S10 Fig. Mortality is higher in female wasps when tachykinin signaling is knocked down in parasitized P. xylostella larvae.

The rates of dead pupae in the early pupal stage (white column) and in the late pupal stage (female: column with red dashed lines and male: red column).

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S11 Fig. Venom is not responsible for PxTK-mediated lipid alteration in parasitized P. xylostella larvae.

(A) Levels of triglycerides (TGs) in P. xylostella larvae at 1 day post microinjection of venom with a dose of 0.05 FE (female equivalents) (n = 10 for each group). Values represent the means ± SD of five independent experiments. (B) Relative PxTK mRNA levels in P. xylostella larvae at 1 day post microinjection of venom with a dose of 0.05 FE (female equivalents) (n = 10 for each group). Data were analyzed by Student’s t-test. Values represent the means ± SD of three independent experiments. ns: not significant.

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S12 Fig. Heat map of C. vestalis bracovirus genes in the midguts of parasitized P. xylostella larvae.

The expression profiles of C. vestalis bracovirus (CvBV) genes in the midguts of parasitized 3L, 4E and 4M host larvae. Red and green colors in the heat map indicate high and low expression levels, respectively. The most highly expressed genes in all tested development stages were CvBV 22–06, CvBV 09–05, and CvBV 09–02. The number before the short dash represents the bracovirus circle, and the number after the short dash represents the order of the genes on that circle. 3L: Late 3rd instar; 4E: Early 4th instar; 4M: Middle 4th instar.

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S13 Fig. Expression patterns of CvBV 9–2, CvBV 9–5 and CvBV 22–6 in different tissues of parasitized P. xylostella larvae.

Relative mRNA levels of CvBV 9–2, CvBV 9–5 and CvBV 22–6 in six different tissues of P. xylostella 4L larvae (n = 30). Values represent the means ± SD of three independent experiments. 4L: Late 4th instar.

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S1 Table. List of primer sequences used in this study.

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S2 Table. Amino acids sequences of PxTKs used in this study.

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References

  1. 1. Poulin R, Morand S. The diversity of parasites. Q Rev Biol. 2000;75 (3):277–93. pmid:11008700
  2. 2. Zuzarte-Luis V, Mota MM. Parasite sensing of host nutrients and environmental cues. Cell Host Microbe. 2018;23 (6):749–58. pmid:29902440
  3. 3. Mancio-Silva L, Slavic K, Ruivo MTG, Grosso AR, Modrzynska KK, Vera IM, et al. Nutrient sensing modulates malaria parasite virulence. Nature. 2017;547 (7662):213–6. pmid:28678779
  4. 4. Coop RL, Holmes PH. Nutrition and parasite interaction. International Journal for Parasitology. 1996;26:951–62. pmid:8923142
  5. 5. Toledo DA, D’Avila H, Melo RC. Host lipid bodies as platforms for intracellular survival of protozoan parasites. Front Immunol. 2016;7:174. pmid:27199996
  6. 6. Fisher RC, Ganesalingam VK. Changes in composition of host haemolymph after attack by an insect parasitoid. Nature. 1970;227:2. pmid:5428415
  7. 7. Pennacchio F, Strand MR. Evolution of developmental strategies in parasitic hymenoptera. Annu Rev Entomol. 2006;51:233–58. pmid:16332211
  8. 8. Roth E. Plasmodium falciparum carbohydrate metabolism: a connection between host cell and parasite. Blood Cells. 1990;16 (2–3):466–6. pmid:2257322
  9. 9. Wong AC, Vanhove AS, Watnick PI. The interplay between intestinal bacteria and host metabolism in health and disease: lessons from Drosophila melanogaster. Dis Model Mech. 2016;9 (3):271–81. pmid:26935105
  10. 10. Vallochi AL, Teixeira L, Oliveira KD, Maya-Monteiro CM, Bozza PT. Lipid droplet, a key player in host-parasite interactions. Front Immunol. 2018;9:1–18. pmid:29403488
  11. 11. Dicke M, Cusumano A, Poelman EH. Microbial symbionts of parasitoids. Annu Rev Entomol. 2020;65:171–90. pmid:31589823
  12. 12. Beckage NE, Gelman DB. Wasp parasitoid disruption of host development: Implications for new biologically based strategies for insect control. Annu Rev Entomol. 2004;49:299–330. pmid:14651466
  13. 13. Harvey JA, Poelman EH, Tanaka T. Intrinsic inter- and intraspecific competition in parasitoid wasps. Annu Rev Entomol. 2013;58:333–51. pmid:23092242
  14. 14. Strand MR. Teratocytes and their functions in parasitoids. Curr Opin Insect Sci. 2014;6:68–73. pmid:32846683
  15. 15. Strand MR, Burke GR. Polydnaviruses: evolution and function. Curr Issues Mol Biol. 2020;34:163–82. pmid:31167960
  16. 16. Moreau SJ, Asgari S. Venom proteins from parasitoid wasps and their biological functions. Toxins (Basel). 2015;7 (7):2385–412. pmid:26131769
  17. 17. Zhu F, Cusumano A, Bloem J, Weldegergis BT, Villela A, Fatouros NE, et al. Symbiotic polydnavirus and venom reveal parasitoid to its hyperparasitoids. Proceedings of the National Academy of Sciences of the United States of America. 2018;115 (20):5205–10. pmid:29712841
  18. 18. Strand MR, Burke GR. Polydnaviruses: from discovery to current insights. Virology. 2015;479–480:393–402. pmid:25670535
  19. 19. Nakamatsu Y, Gyotoku Y, Tanaka T. The endoparasitoid Cotesia kariyai (Ck) regulates the growth and metabolic efficiency of Pseudaletia separata larvae by venom and Ck polydnavirus. J Insect Physiol. 2001;47 (6):573–84. pmid:11249945
  20. 20. Nakamatsu Y, Fujii S, Tanaka T. Larvae of an endoparasitoid, Cotesia kariyai (Hymenoptera: Braconidae), feed on the host fat body directly in the second stadium with the help of teratocytes. J Insect Physiol. 2002;48 (11):1041–52. pmid:12770027
  21. 21. Nakamatsu Y, Tanaka T. Venom of ectoparasitoid, Euplectrus sp near plathypenae (Hymenoptera: Eulophidae) regulates the physiological state of Pseudaletia separata (Lepidoptera: Noctuidae) host as a food resource. J Insect Physiol. 2003;49 (2):149–59. pmid:12770008
  22. 22. Wang ZZ, Ye XQ, Shi M, Li F, Wang ZH, Zhou YN, et al. Parasitic insect-derived miRNAs modulate host development. Nature Communications. 2018;9:2205. pmid:29880839
  23. 23. Becchimanzi A, Avolio M, Di Lelio I, Marinelli A, Varricchio P, Grimaldi A, et al. Host regulation by the ectophagous parasitoid wasp Bracon nigricans. J Insect Physiol. 2017;101:73–81. pmid:28694149
  24. 24. Stoltz DB, Krell P, Summers MD, Vinson SB. Polydnaviridae—a proposed family of insect viruses with segmented, double-stranded, circular DNA genomes. Intervirology. 1984;21 (1):1–4. pmid:6698757
  25. 25. Webb BA, Strand MR, Dickey SE, Beck MH, Hilgarth RS, Barney WE, et al. Polydnavirus genomes reflect their dual roles as mutualists and pathogens. Virology. 2006;347 (1):160–74. pmid:16380146
  26. 26. Strand MR, Burke GR. Polydnavirus-wasp associations: evolution, genome organization, and function. Current Opinion in Virology. 2013;3 (5):587–94. pmid:23816391
  27. 27. Strand MR, Burke GR. Polydnaviruses: nature’s genetic engineers. Annu Rev Virol. 2014;1 (1):333–54. pmid:26958725
  28. 28. Darboux I, Cusson M, Volkoff AN. The dual life of ichnoviruses. Curr Opin Insect Sci. 2019;32:47–53. pmid:31113631
  29. 29. Drezen JM, Chevignon G, Louis F, Huguet E. Origin and evolution of symbiotic viruses associated with parasitoid wasps. Curr Opin Insect Sci. 2014;6:35–43. pmid:32846671
  30. 30. Drezen JM, Leobold M, Bezier A, Huguet E, Volkoff AN, Herniou EA. Endogenous viruses of parasitic wasps: variations on a common theme. Curr Opin Virol. 2017;25:41–8. pmid:28728099
  31. 31. Ye XQ, Shi M, Huang JH, Chen XX. Parasitoid polydnaviruses and immune interaction with secondary hosts. Dev Comp Immunol. 2018;83:124–9. pmid:29352983
  32. 32. Chen YF, Gao F, Ye XQ, Wei SJ, Shi M, Zheng HJ, et al. Deep sequencing of Cotesia vestalis bracovirus reveals the complexity of a polydnavirus genome. Virology. 2011;414 (1):42–50. pmid:21470650
  33. 33. Coffman KA, Burke GR. Genomic analysis reveals an exogenous viral symbiont with dual functionality in parasitoid wasps and their hosts. PLoS Pathog. 2020;16 (11):e1009069. pmid:33253317
  34. 34. Desjardins CA, Gundersen-Rindal DE, Hostetler JB, Tallon LJ, Fadrosh DW, Fuester RW, et al. Comparative genomics of mutualistic viruses of Glyptapanteles parasitic wasps. Genome Biol. 2008;9 (12):R183. pmid:19116010
  35. 35. Djoumad A, Stoltz D, Beliveau C, Boyle B, Kuhn L, Cusson M. Ultrastructural and genomic characterization of a second banchine polydnavirus confirms the existence of shared features within this ichnovirus lineage. J Gen Virol. 2013;94:1888–95. pmid:23658210
  36. 36. Doremus T, Cousserans F, Gyapay G, Jouan V, Milano P, Wajnberg E, et al. Extensive transcription analysis of the hyposoter didymator ichnovirus genome in permissive and non-permissive lepidopteran host species. PLoS One. 2014;9 (8). pmid:25117496
  37. 37. Espagne E, Dupuy C, Huguet E, Cattolico L, Provost B, Martins N, et al. Genome sequence of a polydnavirus: insights into symbiotic virus evolution. Science. 2004;306 (5694):286–9. pmid:15472078
  38. 38. Jancek S, Bezier A, Gayral P, Paillusson C, Kaiser L, Dupas S, et al. Adaptive selection on bracovirus genomes drives the specialization of Cotesia parasitoid wasps. PLoS One. 2013;8 (5):e64432. pmid:23724046
  39. 39. Lapointe R, Tanaka K, Barney WE, Whitfield JB, Banks JC, Beliveau C, et al. Genomic and morphological features of a banchine polydnavirus: comparison with bracoviruses and ichnoviruses. Journal of Virology. 2007;81 (12):6491–501. pmid:17428854
  40. 40. Tanaka K, Lapointe R, Barney WE, Makkay AM, Stoltz D, Cusson M, et al. Shared and species-specific features among ichnovirus genomes. Virology. 2007;363 (1):26–35. pmid:17306851
  41. 41. Yu DS, Chen YB, Li M, Yang MJ, Yang Y, Hu JS, et al. A polydnaviral genome of Microplitis bicoloratus bracovirus and molecular interactions between the host and virus involved in NF-kappa B signaling. Arch Virol. 2016;161 (11):3095–124. pmid:27522588
  42. 42. Gill TA, Webb BA. Analysis of gene transcription and relative abundance of the cys-motif gene family from Campoletis sonorensis ichnovirus (CsIV) and further characterization of the most abundant cys-motif protein, WHv1.6. Insect Mol Biol. 2013;22 (4):341–53. pmid:23614457
  43. 43. Salvia R, Grossi G, Amoresano A, Scieuzo C, Nardiello M, Giangrande C, et al. The multifunctional polydnavirus TnBVANK1 protein: impact on host apoptotic pathway. Scientific reports. 2017;7:11775. pmid:28924205
  44. 44. Duchi S, Cavaliere V, Fagnocchi L, Grimaldi MR, Falabella P, Graziani F, et al. The impact on microtubule network of a bracovirus IkappaB-like protein. Cell Mol Life Sci. 2010;67 (10):1699–712. pmid:20140478
  45. 45. Ignesti M, Ferrara R, Romani P, Valzania L, Serafini G, Pennacchio F, et al. A polydnavirus-encoded ANK protein has a negative impact on steroidogenesis and development. Insect Biochem Molec. 2018;95:26–32.
  46. 46. Atella GC, Arruda MABCF, Masuda H, Gondim KC. Fatty acid incorporation by Rhodnius prolixus midgut. Arch Insect Biochem. 2000;43:99–107. pmid:10685097
  47. 47. Canavoso LE, Frede S, Rubiolo ER. Metabolic pathways for dietary lipids in the midgut of hematophagous Panstrongylus megistus (Hemiptera: Reduviidae). Insect Biochem Molec. 2004;34 (8):845–54. pmid:15262288
  48. 48. Chakrabarti S, Poidevin M, Lemaitre B. The Drosophila MAPK p38c regulates oxidative stress and lipid homeostasis in the intestine. PLoS Genet. 2014;10 (9):1–15. pmid:25254641
  49. 49. Song W, Veenstra JA, Perrimon N. Control of lipid metabolism by tachykinin in Drosophila. Cell Rep. 2014;9 (1):40–7. pmid:25263556
  50. 50. Yamagishi T, Endo H, Fukumura K, Nagata S, Hayakawa T, Adegawa S, et al. Glucose, some amino acids and a plant secondary metabolite, chlorogenic acid induce the secretion of a regulatory hormone, tachykinin-related peptide, from the silkworm midgut. Peptides. 2018;106:21–7. pmid:29933025
  51. 51. Scopelliti A, Bauer C, Yu Y, Zhang T, Kruspig B, Murphy DJ, et al. A neuronal relay mediates a nutrient responsive gut/fat body axis regulating energy homeostasis in adult Drosophila. Cell Metab. 2018;29:1–16. pmid:30344016
  52. 52. Talekar NS, Shelton AM. Biology, ecology, and management of the diamondback moth. Annu Rev Entomol. 1993;38:275–301.
  53. 53. Wei SJ, Shi BC, Gong YJ, Jin GH, Chen XX, Meng XF. Genetic structure and demographic history reveal migration of the diamondback moth Plutella xylostella (Lepidoptera: Plutellidae) from the southern to northern regions of China. PLoS One. 2013;8 (4):1–14. pmid:23565158
  54. 54. Li ZY, Feng X, Liu SS, You MS, Furlong MJ. Biology, ecology, and management of the diamondback moth in China. Annu Rev Entomol. 2016;61:277–96. pmid:26667272
  55. 55. Arrese EL, Canavoso LE, Jouni ZE, Pennington JE, Tsuchida K, Wells MA. Lipid storage and mobilization in insects: current status and future directions. Insect Biochem Molec. 2001;31 (1):7–17. pmid:11102830
  56. 56. Canavoso LE, Wells MA. Metabolic pathways for diacylglycerol biosynthesis and release in the midgut of larval Manduca sexta. Insect Biochem Molec. 2000;30 (12):1173–80. pmid:11044663
  57. 57. Arrese EL, Soulages JL. Insect fat body: energy, metabolism, and regulation. Annu Rev Entomol. 2010;55:207–25. pmid:19725772
  58. 58. Canavoso LE, Wells MA. Role of lipid transfer particle in delivery of diacylglycerol from midgut to lipophorin in larval Manduca sexta. Insect Biochem Molec. 2001;31 (8):783–90. pmid:11378413
  59. 59. Kafsack BFC, Llinas M. Eating at the table of another: metabolomics of host-parasite interactions. Cell Host Microbe. 2010;7 (2):90–9. pmid:20159614
  60. 60. Li S, Yu XQ, Feng QL. Fat body biology in the last decade. Annual Review of Entomology. 2019;64 (64):315–33. pmid:30312553
  61. 61. Van Loy T, Vandersmissen HP, Poels J, Van Hiel MB, Verlinden H, Vanden Broeck J. Tachykinin-related peptides and their receptors in invertebrates: A current view. Peptides. 2010;31 (3):520–4. pmid:19781585
  62. 62. Nassel DR, Zandawala M. Recent advances in neuropeptide signaling in Drosophila, from genes to physiology and behavior. Prog Neurobiol. 2019;179:1–79. pmid:30905728
  63. 63. He X, Zang J, Li X, Shao J, Yang H, Yang J, et al. Activation of BNGR-A24 by direct interaction with tachykinin-related peptides from the silkworm Bombyx mori leads to the Gq- and Gs-coupled signaling cascades. Biochemistry-Us. 2014;53 (42):6667–78. pmid:25275886
  64. 64. Gui SH, Jiang HB, Xu L, Pei YX, Liu XQ, Guy SG, et al. Role of a tachykinin-related peptide and its receptor in modulating the olfactory sensitivity in the oriental fruit fly, Bactrocera dorsalis (Hendel). Insect Biochem Molec. 2017;80:71–8. pmid:27923683
  65. 65. Zhao W, Shi M, Ye XQ, Li F, Wang XW, Chen XX. Comparative transcriptome analysis of venom glands from Cotesia vestalis and Diadromus collaris, two endoparasitoids of the host Plutella xylostella. Scientific reports. 2017;7:1298. pmid:28465546
  66. 66. Gao F, Gu QJ, Pan J, Wang ZH, Yin CL, Li F, et al. Cotesia vestalis teratocytes express a diversity of genes and exhibit novel immune functions in parasitism. Scientific reports. 2016;6:26967. pmid:27254821
  67. 67. Wang ZH, Hu RM, Ye XQ, Huang JH, Chen XX, Shi M. Laccase 1 gene from Plutella xylostella (PxLacl) and its functions in humoral immune response. J Insect Physiol. 2018;107:197–203. pmid:29626507
  68. 68. Saka HA, Valdivia R. Emerging roles for lipid droplets in immunity and host-pathogen interactions. Annual Review of Cell and Developmental Biology. 2012;28:411–37. pmid:22578141
  69. 69. van der Meer-Janssen YPM, van Galen J, Batenburg JJ, Helms JB. (2010) Lipids in host-pathogen interactions: pathogens exploit the complexity of the host cell lipidome. Prog Lipid Res 49(1): 1–26. pmid:19638285
  70. 70. Visser B, Ellers J. Lack of lipogenesis in parasitoids: A review of physiological mechanisms and evolutionary implications. J Insect Physiol. 2008;54 (9):1315–22. pmid:18706420
  71. 71. Jiang JX, Ji XY, Yin YY, Wan NF. The effect of nucleopolyhedrovirus infection and/or parasitism by Microplitis pallidipes on hemolymph proteins, sugars, and lipids in Spodoptera exigua larvae. BioControl. 2013;58 (6):777–88.
  72. 72. Rivers DB, Denlinger DL. Venom-induced alterations in fly lipid metabolism and its impact on larval development of the ectoparasitoid Nasonia Vitripennis (Walker) (Hymenoptera, Pteromalidae). J Invertebr Pathol. 1995;66 (2):104–10.
  73. 73. Nakamatsu Y, Tanaka T. Venom of Euplectrus separatae causes hyperlipidemia by lysis of host fat body cells. J Insect Physiol. 2004;50 (4):267–75. pmid:15081819
  74. 74. Melo RCN, D’Avila H, Fabrino DL, Almeida PE, Bozza PT. Macrophage lipid body induction by Chagas disease in vivo: putative intracellular domains for eicosanoid formation during infection. Tissue Cell. 2003;35 (1):59–67. pmid:12589730
  75. 75. Nagajyothi F, Weiss LM, Silver DL, Desruisseaux MS, Scherer PE, Herz J, et al. Trypanosoma cruzi utilizes the host low density lipoprotein receptor in invasion. PLoS Negl Trop Dis. 2011;5 (2):e953. pmid:21408103
  76. 76. Barras DJ, Joiner RL, Vinson SB. Neutral lipid composition of the tobacco budworm, Heliothis virescens (Fab.), as affected by its habitual parasite, Cardiochiles nigriceps viereck. Comp Biochem Physiol. 1970;36:775–85.
  77. 77. Wang J, Jin H, Schlenke T, Yang Y, Wang F, Yao H, et al. Lipidomics reveals how the endoparasitoid wasp Pteromalus puparum manipulates host energy stores for its young. Biochimica et Biophysica Acta (BBA)—Molecular and Cell Biology of Lipids. 2020;1865 (9):158736. pmid:32438058
  78. 78. Gao XK, Zhang S, Luo JY, Lu LM, Zhang LJ, Cui JJ. Lipidomics and RNA-Seq study of lipid regulation in Aphis gossypii parasitized by Lysiphlebia japonica. Scientific reports. 2017;7:1364–76. pmid:28465512
  79. 79. Paredes JC, Herren JK, Schupfer F, Lemaitre B. The role of lipid competition for endosymbiont-mediated protection against parasitoid wasps in Drosophila. MBio. 2016;7 (4):1–8. pmid:27406568
  80. 80. Gao X, Xue H, Luo J, Ji J, Zhang L, Niu L, et al. Molecular evidence that Lysiphlebia japonica regulates the development and physiological metabolism of Aphis gossypii. Int J Mol Sci. 2020;21 (13):1–16. pmid:32610524
  81. 81. Thompson SN, Barlow JS. The fatty acid composition of parasitic Hymenoptera and its possible biological significance. Ann Entomol Soc Am. 1974;67:6.
  82. 82. Kaeslin M, Pfister-Wilhelm R, Lanzrein B. Influence of the parasitoid Chelonus inanitus and its polydnavirus on host nutritional physiology and implications for parasitoid development. J Insect Physiol. 2005;51 (12):1330–9. pmid:16203013
  83. 83. Kaeslin M, Pfister-Wilhelm R, Molina D, Lanzrein B. Changes in the haemolymph proteome of Spodoptera littoralis induced by the parasitoid Chelonus inanitus or its polydnavirus and physiological implications. J Insect Physiol. 2005;51 (9):975–88. pmid:15936028
  84. 84. Salvador G, Consoli FL. Changes in the hemolymph and fat body metabolites of Diatraea saccharalis (Fabricius) (Lepidoptera: Crambidae) parasitized by Cotesia flavipes (Cameron) (Hymenoptera: Braconidae. Biol Control. 2008;45 (1):103–10.
  85. 85. Jervis MA, Ellers J, Harvey JA. Resource acquisition, allocation, and utilization in parasitoid reproductive strategies. Annu Rev Entomol. 2008;53:361–85. pmid:17877453
  86. 86. Gilby AR. Lipid and their metabolism in insect. Annu Rev Entomol. 1965;10:20.
  87. 87. Canavoso LE, Jouni ZE, Karnas KJ, Pennington JE, Wells MA. Fat metabolism in insects. Annu Rev Nutr. 2001;21:23–46. pmid:11375428
  88. 88. Kamareddine L, Robins WP, Berkey CD, Mekalanos JJ, Watnick PI. The Drosophila immune deficiency pathway modulates enteroendocrine function and host metabolism. Cell Metabolism. 2018;28 (3):449–62. pmid:29937377