1. Ecology

Adipokinetic hormone signaling mediates the enhanced fecundity of Diaphorina citri infected by ‘Candidatus Liberibacter asiaticus’

  1. Jiayun Li
  2. Paul Holford
  3. George Andrew Charles Beattie
  4. Shujie Wu
  5. Jielan He
  6. Shijian Tan
  7. Desen Wang
  8. Yurong He
  9. Yijing Cen  Is a corresponding author
  10. Xiaoge Nian  Is a corresponding author
  1. National Key Laboratory of Green Pesticide, Department of Entomology, College of Plant Protection, South China Agricultural University, China
  2. School of Science, Western Sydney University, Australia
  3. Henry Fok School of Biology and Agriculture, Shaoguan University, China
https://doi.org/10.7554/eLife.93450.3
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Cite this article
  1. Jiayun Li
  2. Paul Holford
  3. George Andrew Charles Beattie
  4. Shujie Wu
  5. Jielan He
  6. Shijian Tan
  7. Desen Wang
  8. Yurong He
  9. Yijing Cen
  10. Xiaoge Nian
(2024)
Adipokinetic hormone signaling mediates the enhanced fecundity of Diaphorina citri infected by ‘Candidatus Liberibacter asiaticus’
eLife 13:RP93450.
https://doi.org/10.7554/eLife.93450.3
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eLife assessment

This important study reveals the molecular basis of mutualism between a vector insect and a bacterium responsible for the most devastating disease in citrus agriculture worldwide. The evidence supporting the conclusions is compelling, with solid biochemical and gene expression analyses demonstrating the phenomenon. We believe this work will be of great interest to the fields of vector-borne disease control and host-pathogen interaction.

https://doi.org/10.7554/eLife.93450.3.sa0

Abstract

Diaphorina citri serves as the primary vector for ‘Candidatus Liberibacter asiaticus (CLas),’ the bacterium associated with the severe Asian form of huanglongbing. CLas-positive D. citri are more fecund than their CLas-negative counterparts and require extra energy expenditure. Therefore, understanding the molecular mechanisms linking metabolism and reproduction is of particular importance. In this study, we found adipokinetic hormone (DcAKH) and its receptor (DcAKHR) were essential for increasing lipid metabolism and fecundity in response to CLas infection in D. citri. Knockdown of DcAKH and DcAKHR not only resulted in the accumulation of triacylglycerol and a decline of glycogen, but also significantly decreased fecundity and CLas titer in ovaries. Combined in vivo and in vitro experiments showed that miR-34 suppresses DcAKHR expression by binding to its 3’ untranslated region, whilst overexpression of miR-34 resulted in a decline of DcAKHR expression and CLas titer in ovaries and caused defects that mimicked DcAKHR knockdown phenotypes. Additionally, knockdown of DcAKH and DcAKHR significantly reduced juvenile hormone (JH) titer and JH signaling pathway genes in fat bodies and ovaries, including the JH receptor, methoprene-tolerant (DcMet), and the transcription factor, Krüppel homolog 1 (DcKr-h1), that acts downstream of it, as well as the egg development related genes vitellogenin 1-like (DcVg-1-like), vitellogenin A1-like (DcVg-A1-like) and the vitellogenin receptor (DcVgR). As a result, CLas hijacks AKH/AKHR-miR-34-JH signaling to improve D. citri lipid metabolism and fecundity, while simultaneously increasing the replication of CLas, suggesting a mutualistic interaction between CLas and D. citri ovaries.

Introduction

The majority of devastating plant pathogens, including viruses and bacteria, are transmitted by insect vectors (Eigenbrode et al., 2018). In recent decades, the interactions between vectors and pathogens have been widely studied (Eigenbrode et al., 2018; Mao et al., 2019; Berasategui et al., 2022; Ray and Casteel, 2022). However, studies on the mechanisms underlying these interactions have mainly focused on vector-virus or vector-fungus interactions; less research has been performed on vector-bacteria interactions. Knowledge of the relationships between vectors and pathogens is of great significance for understanding the epidemiology of plant pathogens, and this knowledge may help develop new strategies for controlling both vectors and pathogens. The severe Asian form of huanglongbing (HLB) is currently the most destructive citrus disease in Asia and the Americas where it is associated with the phloem-restricted, Gram-negative, α-Proteobacteria CLas and transmitted by the Asian citrus psyllid, Diaphorina citri Kuwayama (Hemiptera: Psyllidae) (Capoor and Rao, 1967; Gottwald, 2010; Bové, 2014; da Graça et al., 2016; Fuentes et al., 2018). However, since CLas has not been cultured in vitro, Koch’s postulates have not been proven. Control of D. citri is the most effective way to prevent HLB epidemics (Gottwald, 2010; Bové, 2014) but experience in Asia (Beattie, 2020) and the United States of America (Graham et al., 2020; Li et al., 2020), and recent press reports from Brazil, indicate that it is impossible to suppress psyllid populations with insecticides to levels that prevent spread of CLas.

Previous studies have reported that infection with CLas significantly increases the fecundity of D. citri (Pelz-Stelinski and Killiny, 2016; Ren et al., 2016; Wu et al., 2018). Reproduction is a costly process in terms of energy usage in the adult life of female insects (Arrese and Soulages, 2010), and there is an inevitable trade-off between lipid storage and use, because animals mobilize their lipid reserves during reproduction. However, the mechanism of how D. citri maintains a balance between lipid metabolism and increased fecundity after infection with CLas remains unknown. In insects, energy mobilization is under control of adipokinetic hormone (AKH), which was the first insect neurohormone to be identified; it was shown to stimulate lipid mobilization for locomotor activity in locusts (Stone et al., 1976). To date, more than 80 different forms of AKH have been identified or predicted in arthropod species due to similar structural characteristics of the enzyme (Toprak, 2020). The mechanisms of synthesis and biological activity of AKH have also been investigated. Insect store lipids in the form of triacylglycerides (TAG) and as carbohydrates in the form of glycogen in their fat bodies (Azeez et al., 2014). Under conditions of energy demand, AKHs are synthesized in the corpora cardiaca, released into the hemolymph, and bind to receptors (AKHRs) located on the plasma membrane of fat body cells. AKHR binding and activation triggers the release of energy-rich substrates after which various cellular signaling pathway components come into play (Gáliková et al., 2015). AKHRs are a class of G protein-coupled receptors and were first identified in Drosophila melanogaster (Park et al., 2002) and Bombyx mori Staubli et al., 2002; subsequently, they were identified in a large number of insect species (Ziegler et al., 2011; Attardo et al., 2012; Konuma et al., 2012; Jedlička et al., 2016).

While the AKH pathway is recognized for its role in mobilizing stored lipids, its involvement in vector-pathogen interactions remains understudied. For example, in Anopheles gambiae-Plasmodium falciparum interactions. P. falciparum infection influences A. gambiae AKH signaling, lipid metabolism, and mobilization of energy reserves to support the parasite’s metabolic and structural needs (Nyasembe et al., 2023). In another example, infection of cockroaches with the fungus Isaria fumosorosea result in a significant rise in AKH levels in the central nervous system in response to stress responses (Karbusová et al., 2019). The functions of the AKH/AKHR in insect-pathogen interactions need further investigation. Recent studies have shown that AKH/AKHR signaling plays a regulatory role during female reproduction in insects. For example, depletion of AKHR in Bactrocera dorsalis resulted in TAG accumulation, decreased sexual courtship activity, and fecundity (Hou et al., 2017). AKHR knockdown in Nilaparvata lugens interferes with trehalose homeostasis and vitellogenin uptake by oocytes, which causes delayed oocyte development and reduced fecundity (Lu et al., 2018). AKH/AKHR signaling also regulates vitellogenesis and egg development in Locusta migratoria via triacylglycerol mobilization and trehalose homeostasis (Zheng et al., 2020). As outlined above, the fecundity of D. citri is increased by CLas. Whether AKH/AKHR signaling participates in this increase in fecundity due to infection via alterations in lipid metabolism is not currently known.

Although numerous studies have been conducted on the AKH/AKHR signaling pathway, miRNA-mediated regulation of the AKH signaling pathway at the post-transcriptional level has been little studied. MicroRNAs (miRNAs) are small, non-coding RNAs containing approximately 22 nucleotides that act mostly on the 3’ untranslated region (UTR) of target mRNAs, resulting in translation repression or mRNA degradation (Bartel, 2018). miRNAs play important roles in regulating cellular events at the post-transcriptional level during biological processes (Bartel, 2018; Asgari, 2011; Asgari, 2014). For example, in D. citri-CLas interaction, CLas hijacks the JH signaling pathway and host miR-275 that targets the vitellogenin receptor (DcVgR) to improve D. citri fecundity, while simultaneously increasing the replication of CLas itself, suggesting a mutualistic interaction in D. citri ovaries with CLas (Nian et al., 2024). In term of host-virus interactions, miR-8, and miR-429 target Broad isoform Z2, the gene involved in the hormonal regulation of single nucleopolyhedrovirus (HaSNPV)-mediated climbing behavior in Helicoverpa armigera (Zhang et al., 2018). In relation to reproduction, in Aedes aegypti, miR-275 is essential for egg development (Bryant et al., 2010), miR-309 for ovarian development (Zhang et al., 2016), and miR-8 for other reproductive processes (Song and Zhou, 2020). As for lipid metabolism, knockdown of miR-277 in A. aegypti activates insulin/FOXO signaling by increasing the expression of ilp7 and ilp8, which reduces TAG levels and inhibits ovarian development (Ling et al., 2017). Nevertheless, the functions of the miRNAs in insect-pathogen interactions need further investigation. To date, there are no reports that miRNAs participate in D. citri-CLas interactions or are hijacked by CLas to affect lipid metabolism and the fecundity of D. citri. As a consequence, in this study, we used the D. citri-CLas system as a model to study the molecular events associated with AKH/AKHR signaling that affect lipid metabolism and increase fecundity of D. citri induced by CLas. Our study contributes to our understanding of the interactions between vectors and pathogens and may also provide new ways for controlling D. citri and HLB.

Results

Effects of CLas infection on the reproduction and metabolism of adult D. citri

Total TAG and glycogen levels in fat bodies of CLas-negative and CLas-positive psyllids were determined. After infection with CLas, the TAG and glycogen levels of CLas-positive psyllids significantly increased compared with CLas-negative individuals (Figure 1A–B). Since TAG is mainly stored in fat bodies as lipid droplets, we next evaluated the changes in the lipid droplet size using Nile red staining. As shown in Figure 1C, the size of lipid droplets in the CLas-positive group was significantly larger than those of the CLas-negative group. In order to evaluate the effects of CLas on the reproduction of D. citri, the preoviposition period, oviposition period, and fecundity of both CLas-negative and CLas-positive psyllids were examined. After infection with CLas, the preoviposition period was significantly shortened, the oviposition period was extended, and the fecundity was markedly increased (Figure 1D–F).

Figure 1
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Effects of Candidatus Liberibacter asiaticus (CLas) on lipid metabolism and reproductive behavior of D. citri.

(A) Comparison of triacylglycerides (TAG) levels in the fat bodies of CLas-positive (CLas+) and CLas-negative (CLas-) females 5, 9, and 13 days after emergence (DAE). (B) Comparison of glycogen levels in the fat bodies of CLas + and CLas- females 5, 9, 13 DAE. (C) Lipid droplets in fat bodies dissected from CLas + and CLas- females 9 DAE stained with Nile red. Scale bar = 40 μm. (D–F) Comparison of the preoviposition period, oviposition period, and the fecundity of CLas + and CLas- adults. In A and B, data are shown as means ± SEM with nine biological replications of at least 30 nymphs for each replication. For D-F, at least 30 female adults for each group. The significant differences between CLas-positive and CLas-negative psyllids were determined using Student’s t-tests (**p<0.01, ***p<0.001).

DcAKH is involved in changes in metabolism and fecundity in D. citri mediated by CLas

Using our transcriptome database, cDNA sequences of DcAKH were identified and cloned. The cDNA sequence of DcAKH is 225 bp in length, encodes a deduced polypeptide of 74 amino acid residues, and has the conserved structural characteristics of a neuropeptide. The conserved structure was ‘signal peptide + mature peptide + related peptide,’ and the mature peptide sequence of DcAKH is ‘QVNFSPNW’ (Figure 2—figure supplement 1A). A phylogenetic analysis was conducted to evaluate the association of DcAKH with other insect AKHs; DcAKH was most closely related to the AKHs of three hemipteran species, Nilaparvata lugens, Sitobion avenae, and Acyrthosiphon pisum (Figure 2—figure supplement 1B).

Tissue expression profiles showed that DcAKH was expressed at the highest level in the brain, significantly higher than in the ovaries, fat bodies, and midgut in D. citri (Figure 2—figure supplement 2; Figure 2—figure supplement 3). The levels of DcAKH in ovaries of CLas-negative and -positive psyllids decreased during the assessment period. However, levels in the ovaries of CLas-positive psyllids were significantly higher than those that were CLas-negative at all assessment times (Figure 2A). To investigate the role of DcAKH in metabolic and reproductive changes induced by CLas, we knocked down DcAKH expression using RNAi. When fed with dsDcAKH, the mRNA level of DcAKH in CLas-negative and CLas-positive ovaries significantly decreased by 89% and 66%, respectively, compared with psyllids fed with dsGFP (Figure 2B). Knockdown of DcAKH resulted in TAG accumulation and a significant decrease in glycogen (Figure 2C–D). Correspondingly, depletion of DcAKH led to a significant increase in the size of the lipid droplets (Figure 2E). Compared with the controls, DcAKH RNAi slowed ovarian development (Figure 2F), extended the preoviposition period (from 13.3 to 14.2 days in CLas-negative psyllids and from 10.7 to 13.4 days in CLas-positive psyllids), shortened the oviposition period (from 7.1 to 4.3 days in CLas-negative psyllids and from 10.1 to 5.7 days in CLas-positive psyllids), and decreased fecundity (from 138.0 to 94.7 days in CLas-negative psyllids and from 230.0 to 118.1 days in CLas-positive psyllids) (Figure 2G–I). Furthermore, the CLas signal and relative titer in the ovaries of DcAKH knockdown psyllids significantly decreased (Figure 2J–K). Taken together, it can be concluded that DcAKH is involved in CLas-induced metabolic and reproductive changes in D.citri.

Figure 2 with 3 supplements see all
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DcAKH is involved in the mutualistic relationship between Candidatus Liberibacter asiaticus (CLas) and D. citri resulting in increased fecundity.

(A) Comparison of temporal expression patterns of DcAKH between the ovaries of CLas- and CLas+ psyllids. (B) Efficiency of RNAi of DcAKH in CLas- and CLas+ females treated with dsDcAKH for 48 hr. (C) Comparison of triacylglycerides (TAG) levels in fat bodies of CLas- and CLas+ females treated with dsDcAKH for 48 hr. (D) Comparison of glycogen levels in fat bodies of CLas- and CLas+ females treated with dsDcAKH for 48 hr. (E) Lipid droplets stained with Nile red in fat bodies dissected from CLas+ females treated with dsDcAKH for 48 hr. Scale bar = 40 μm. (F) Ovary phenotypes of CLas+ females treated with dsDcAKH for 48 hr. Scale bar = 200 μm. o: ovary, s: spermathecae. (G–I) Comparison of the preoviposition period, oviposition period, and the fecundity between CLas- and CLas+ adults treated with dsDcAKH. (J) The CLas titer in ovaries of CLas+ females treated with dsDcAKH for 48 hr. (K) Representative confocal images of CLas in the reproductive system of CLas+ females treated with dsDcAKH for 48 hr. Scale bar = 200 μm. DAPI: the cell nuclei were stained with DAPI and visualized in blue. CLas-Cy3: the CLas signal is visualized in red by staining with Cy3. Merge: merged imaging of co-localization of cell nuclei and CLas. Data are shown as means ± SEM with at least nine independent biological replications. The significant differences between treatment and controls are indicated by asterisks (Student’s t-test, *p<0.05, **p<0.01, ***p<0.001).

DcAKHR responds to DcAKH and participates in D. citri-CLas mutualism

The protein tertiary structure of DcAKHR was predicted; DcAKHR has seven conserved transmembranes (TM1-TM7) domains and is a typical G protein-coupled receptor (Figure 3—figure supplement 1A). A phylogenetic analysis was conducted to evaluate the association of DcAKHR with other insect AKHRs; DcAKHR was most closely related to the AKHR of Nilaparvata lugens (Figure 3—figure supplement 1B). To further confirm DcAKH can activate DcAKHR, we performed a cell-based calcium mobilization assay. As shown in Figure 3—figure supplement 1C, DcAKHR was strongly activated by DcAKH in a dose-dependent manner, with an EC50 value of 2.20×10–5 mM, but there were no responses when challenged with an empty vector or other evolutionarily-related peptides. In addition, after DcAKH knockdown, DcAKHR expression in the ovaries significantly decreased (Figure 3—figure supplement 1D). DcAKHR was cloned, sequenced, designated, and then used for further studies. Sequence analysis showed that DcAKHR consisted of an open reading frame (ORF) of 1290 bp and a 185 bp 3’ UTR. It encodes a putative protein consisting of 429 amino acids with a predicted molecular weight of 48.32 kDa. Tissue expression patterns showed that DcAKHR had the highest expression in the midgut, followed by the head, fat bodies, and ovaries (Figure 3—figure supplement 2). In the ovaries of CLas-positive and -negative psyllids, the transcript and protein levels of DcAKHR increased over the assessment period with levels of both being higher in CLas-positive psyllids than in CLas-negative psyllids (Figure 3A). To investigate the role of DcAKHR in metabolic and reproductive changes induced by CLas, we knocked down DcAKHR expression by RNAi. When fed with dsDcAKHR, the mRNA levels of DcAKHR in the ovaries of CLas-negative and CLas-positive were significantly decreased by 59.4 and 66.0%, respectively, compared with psyllids fed with dsGFP; western blot analysis confirmed that DcAKHR protein levels were also significantly reduced (Figure 3B). Knockdown of DcAKHR resulted in TAG accumulation and a significant decrease in glycogen (Figure 3C–D). Correspondingly, depletion of DcAKHR led to a significant increase in the size of lipid droplets (Figure 3E). Compared with the controls, DcAKHR RNAi interfered with ovarian development (Figure 3F): the preoviposition period was extended (from 13.3 to 16.2 days in CLas-negative psyllids and from 10.7 to 12.9 days in CLas-positive psyllids); oviposition period was shortened (from 7.1 to 4.6 days in CLas-negative psyllids and from 10.1 to 5.3 days in CLas-positive psyllids); and fecundity decreased (from 138.0 to 90.6 eggs per female in CLas-negative psyllids and from 230.0 to 98.2 eggs per female in CLas-positive psyllids). These effects are similar to those caused by DcAKH knockdown (Figure 3G–I). Furthermore, the CLas signal and relative titer in the ovaries of DcAKH knockdown psyllids were significantly decreased (Figure 3J–K). Taken together, DcAKHR responds to DcAKH and is involved in the CLas-induced metabolic and reproductive changes in D. citri.

Figure 3 with 2 supplements see all
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DcAKHR is involved in the mutualistic relationship between Candidatus Liberibacter asiaticus (CLas) and D. citri resulting in increased fecundity.

(A) Comparison of temporal expression patterns of DcAKHR between the ovaries of CLas- and CLas+ psyllids. (B) The efficiency of RNAi of DcAKHR in CLas- and CLas+ psyllids treated with dsDcAKHR for 48 h. The protein molecular weight for DcAKHR is 48 KDa and for Dcβ-ACT is 42 KDa. (C) Comparison of triacylglycerides (TAG) levels in fat bodies of CLas- and CLas+ females treated with dsDcAKHR for 48 hr. (D) Comparison of glycogen levels in fat bodies of CLas- and CLas+ females treated with dsDcAKHR for 48 hr. (E) Lipid droplets stained with Nile red in fat bodies dissected from CLas-positive females treated with dsDcAKHR for 48 hr. Scale bar = 40 μm. (F) Ovary phenotypes of CLas+ females treated with dsDcAKHR for 48 hr. Scale bar = 200 μm. o: ovary, s: spermathecae. (G–I) Comparison of the preoviposition period, oviposition period, and the fecundity of CLas- and CLas+ adults treated with dsDcAKHR. (J) The CLas titer in the ovaries of CLas+ females treated with dsDcAKHR for 48 hr. (K) Representative confocal images of the reproductive system of CLas+ females treated with dsDcAKHR for 48 hr. Scale bar = 200 μm. DAPI: the cell nuclei were stained with DAPI and visualized in blue. CLas-Cy3: the CLas signal is visualized in red by staining with Cy3. Merge: merged imaging of co-localization of cell nuclei and CLas. Data are shown as means ± SEM with at least nine independent biological replications. The significant differences between treatment and controls are indicated by asterisks (Student’s t-test, ***p<0.001).

Figure 3—source data 1

Original file for the Western blot analysis in Figure 3A and B (anti-DcAKHR and anti-β-ACT).

https://cdn.elifesciences.org/articles/93450/elife-93450-fig3-data1-v1.zip

miR-34 targeted DcAKHR

Based on the small RNA libraries of D. citri, we used miRanda and RNAhybrid software to predict the potential miRNAs targeting DcAKHR; three putative miRNAs, namely miR-34, miR-2 and miR-14 (Figure 4A), were identified. To confirm the binding activity of these miRNAs with DcAKHR, several dual-luciferase reporter assays were conducted. Compared with the controls, the luciferase activity was markedly reduced when miR-34 agomir was co-transfected with the recombinant plasmid containing the full 3’UTR sequence of DcAKHR, while miR-2 and miR-14 activities were not significantly changed (Figure 4B). In addition, the reporter activity was recovered when the binding sites of miR-34 were mutated in the DcAKHR 3’-UTR (Figure 4C). To determine whether miR-34 specifically targets DcAKHR, the following experiments were conducted. First. tissue expression patterns showed that the miR-34 was highly expressed in the head, followed by the fat bodies, ovaries, and midgut (Figure 4D). Second, miR-34 has the opposite expression pattern to DcAKHR (Figure 3A), and transcript levels decreased over the assessment period with the levels of both being lower in CLas-positive psyllids than in CLas-negative psyllids (Figure 3—figure supplement 2). Third, after feeding with agomir-34, the relative levels of miR-34 mRNA in the ovaries of CLas-negative and CLas-positive psyllids increased 1.9- and 2.3-fold, respectively (Figure 4—figure supplement 1). The mRNA and protein levels of DcAKHR were correspondingly increased or decreased after separately feeding psyllids with either antagomir-34 or agomir-34 (Figure 4F). Fourth, an RNA immunoprecipitation (RIP) assay was performed; DcAKHR mRNA was significantly enriched in the anti-AGO-immunoprecipitated RNAs from ovaries of agomir-34-fed female psyllids relative to the control samples (Figure 4G). Taken together, these results strongly suggest that DcAKHR is a direct target of miR-34.

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Identification and validation of the target relationship between miR-34 and DcAKHR.

(A) The putative binding sites of miRNAs in the DcAKHR 3’-untranslated region (UTR) as predicted by miRanda and RNAhybrid. (B) Dual-luciferase reporter assays using HEK293T cells co-transfected with miRNA agomir and recombinant pmirGLO vectors containing the predicted binding sites for miR-2, miR-14, and miR-34 in the CDS of DcAKHR. (C) Dual-luciferase reporter assays using HEK293T cells co-transfected with miR-34 agomir plus recombinant pmirGLO vectors containing DcAKHR-3’UTR or mutated DcAKHR-3’UTR. (D) Tissue expression pattern of miR-34 in Candidatus Liberibacter asiaticus (CLas) + female adults at 7 days after emergence (DAE) in the head, ovary, fat body, and midgut. (E) Comparison of temporal expression patterns of miR-34 in ovaries of CLas- and CLas + females. (F) Effects of miR-34 agomir and antagomir treatments on DcAKHR mRNA expression and protein level in ovaries of CLas- and CLas + psyllids after 48 hr. The protein molecular weight for DcAKHR is 48 KDa and for Dcβ-ACT is 42 KDa. (G) Relative expression of miR-34 targeted DcAKHR in vivo as demonstrated by an RNA immunoprecipitation assay. Data are shown as mean ± SEM with nine independent biological replications. For B-D, significant differences among the different treatments are indicated by lowercase letters above the bars (one-way ANOVA followed by Tukey’s Honestly Significant Difference test at *p<0.05). The significant differences between treatment and control are indicated by asterisks in E-G (Student’s t-test, **p<0.01, ***p<0.001).

Figure 4—source data 1

Original file for the Western blot analysis in Figure 4F (anti-DcAKHR and anti-β-ACT).

https://cdn.elifesciences.org/articles/93450/elife-93450-fig4-data1-v1.zip

miR34 participates in D. citri-CLas mutualism in ovaries

To investigate the roles of miR-34 in the interaction between D. citri and CLas, CLas-positive and -negative females were fed with agomir-negative control (NC) or with miR-34 agomir. After feeding with miR-34 agomir, there was a significant accumulation of TAG and a decrease in glycogen levels in the two populations (Figure 5A–B). The size of lipid droplets in the fat bodies of CLas-positive psyllids were bigger than those of the control (Figure 5C). After treatment with miR-34 agomir, ovarian development of CLas-positive psyllids was reduced (Figure 5D). In addition, when CLas-negative and CLas-positive psyllids were fed with miR-34 agomir, the oviposition period of both psyllid types was shortened, preoviposition period was markedly extended, and fecundity significantly decreased compared with the relevant control groups (Figure 5E–G); these phenotypes mimic those expressed after treatment with dsDcAKHR. Moreover, the CLas signals and relative titer in CLas-positive ovaries were significantly reduced (Figure 5H–I). All the results indicate that miR-34 suppresses DcAKHR expression and is involved in the mutualistic interaction.

Figure 5
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miR-34 participation in mutualistic interactions between D. citri and Candidatus Liberibacter asiaticus (CLas).

(A) Comparison of triacylglycerides (TAG) levels in fat bodies of CLas- and CLas + females treated with agomir-34 for 48 hr. (B) Comparison of glycogen levels in the fat bodies of CLas- and CLas + females treated with agomir-34 for 48 hr. (C) Lipid droplets stained with Nile red in fat bodies dissected from CLas + females treated with agomir-34 for 48 hr. Scale bar = 40 μm. (D) Ovary phenotypes of CLas + female treated with agomir-34 for 48 hr. Scale bar = 200 μm. o: ovary, s: spermathecae. (E–G) Comparison of the preoviposition period, oviposition period, and the fecundity between CLas- and CLas + adults treated with agomir-34. (H) CLas titer in ovaries of CLas + females treated with agomir-34 for 48 hr. (I) Representative confocal images of CLas in the reproductive system of CLas +females treated with agomir-34 for 48 hr. Scale bar = 200 μm. The signals of DAPI and CLas-Cy3 are the same as described in Figure 2. Data are shown as means ± SEM with at least nine independent biological replications. The significant differences between treatment and controls are indicated by asterisks (Student’s t-test, ***p<0.001).

The JH signaling pathway is regulated by the AKH pathway and is involved in the increase in fecundity induced by CLas

To evaluate whether the JH signaling pathway is regulated by the AKH signaling pathway, we assayed the relative JH titers and the expression levels of several JH pathway-related genes in DcAKH-deficient, CLas-positive females. Compared to control females, the relative JH titer in the abdomen decreased significantly after dsDcAKH treatment for 48 hr (Figure 6A). After feeding with dsDcAKH for 48 hr, the expression levels of the JH receptor gene, DcMet, and the downstream transcription factor, DcKr-h1, of the JH signaling pathway were significantly reduced in the fat bodies and ovaries (Figure 6B–C). In addition, the expression levels of DcVg1-like, DcVgA1-like, and DcVgR, three important downstream genes of the JH signaling pathway related to ovarian development were lower in DcAKH-deficient CLas-positive females than in controls after dsRNA feeding for 48 hr (Figure 6B–C). Similar results were observed in the DcAKHR-deficient CLas-positive females (Figure 6D–F) as well as CLas-positive females fed with agomir-34 (Figure 6G–I). These results suggest that JH signaling pathway is regulated by the AKH-AKHR-miR-34 signaling pathway and is involved in the increased fecundity of D. citri induced by CLas.

Figure 6
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The juvenile hormone (JH) signaling pathway is regulated by adipokinetic hormone (AKH) signaling pathway and is involved in the increase in fecundity of D. citri induced by Candidatus Liberibacter asiaticus (CLas).

(A) JH titer in the abdomen of CLas + females treated with dsDcAKH for 48 hr. (B) Effects of dsDcAKH treatment on mRNA level of JH signaling pathway in fat bodies of CLas + females. (C) Effects of dsDcAKH treatment on mRNA levels of components of the JH signaling pathway in the ovaries of CLas + females. (D) JH titers in the abdomens of Clas + females treated with dsDcAKHR for 48 hr. (E) Effects of dsDcAKHR treatment on mRNA level of JH signaling pathway in fat bodies of CLas + females. (F) Effects of dsDcAKHR treatment on mRNA levels of components of the JH signaling pathway in ovaries of CLas + females. (G) JH titer in abdomen of CLas + females treated with agomir-34 for 48 hr. (H) Effects of agomir-34 treatment on mRNA levels of components of the JH signaling pathway in fat bodies of CLas + females. (I) Effects of agomir-34 treatment on mRNA levels of components of the JH signaling pathway in the ovaries of CLas + females. Data are shown as means ± SEM with at least nine independent biological replications.

Discussion

An increasing number of studies have focused on the effects of vector-virus interactions on reproduction. For example, rice gall dwarf virus is transmitted vertically by hitchhiking on insect sperm, thereby promoting long-term viral epidemics and persistence in nature (Mao et al., 2019). Berasategui et al., 2022 found a mutualistic relationship between Chelymorpha alternans and Fusarium oxysporum, where the pupae were protected in exchange for the dissemination and propagation of the fungus. Although there is limited research on the mechanisms underlying vector-bacteria interactions. In D. citri-CLas interaction, CLas operates host hormone signaling and miRNA to mediate the mutualistic interaction between D. citri fecundity and its replication (Nian et al., 2024). Singh and Linksvayer, 2020 found that Wolbachia-infected colonies of Monomorium pharaonis exhibited increased colony-level growth, accelerated colony reproduction, and shortened colony life cycles compared to uninfected colonies.

The fat body is the major insect storage organ that produces the majority of hemolymph-born vitellogenic proteins and critically contributes to insect ovary development (Arrese and Soulages, 2010). In this study, after infection with CLas, the preoviposition period of D. citri was shortened, oviposition period was prolonged, and fecundity was significantly increased. These results suggest that there is a mutualistic interaction in D. citri ovaries with CLas. CLas accelerates ovarian development and prolongs the oviposition period thereby enhancing the fecundity of D. citri; in turn, D. citri provides sites and nutrients for CLas replication during ovarian development. CLas-positive D. citri requires more energy to support this increased fecundity. Hence, the TAG and glycogen levels of both CLas-positive and CLas-negative were assayed. After infection with CLas, the TAG and glycogen levels significantly increased, and the average size of lipid droplets in the fat bodies were distinctly larger, indicating that the increase in lipid mobilization may prepare for an increase in fecundity.

The total amount of lipids present in fat bodies is a balance between lipogenesis and lipolysis (Grönke et al., 2005), and both processes are essential for lipid homeostasis. Disruption of either lipogenesis or lipolysis could interfere with nutritional and physiological conditions in fat bodies and affect vitellogenesis. AKH/AKHR mediated lipolytic systems are essential for lipid provision and nutrient transfer during reproduction. In Gryllus bimaculatus (Lorenz, 2003; Lorenz and Gäde, 2009) and Caenorhabditis elegans (Lindemans et al., 2009), injections of AKH interfered with egg production by inhibiting the production of vitellogenins and the accumulation of lipid stores. In Bactrocera dorsalis, AKHR knockdown led to decreased lipolytic activity and delayed oocyte maturation (Hou et al., 2017) and these authors suggested the decline in fecundity may be due to the inability to utilize the lipid stores of fat bodies to promote oocyte maturation. In Glossina morsitans, the silencing of AKHR and brummer led to the inability to mobilize lipid reserves in fat bodies during pregnancy, slowed down the development of oocytes, and caused embryogenesis to fail, indicating that female fertility depends on lipid metabolism regulated by AKHR (Attardo et al., 2012). These results suggest that lipid homeostasis appears critical for insect fecundity, as its disruption substantially suppresses egg production and negatively affects vitellogenesis.

In the study, DcAKH and DcAKHR played important roles in the increased lipid metabolism and fecundity of D. citri mediated by CLas. The cDNA sequences encoding AKH and AKHR from D. citri were cloned and identified, and phylogenetic analysis showed that DcAKH and DcAKHR were orthologous to other hemipteran AKHs and AKHRs. Functional analysis showed that DcAKHR shares properties found with other AKHRs. DcAKHR-transfected CHO cells could be activated by AKH peptide, while it did not respond to Crz peptide, despite the sequences and gene structures of AKH and Crz being closely related (Park et al., 2002). DcAKH and DcAKHR were more highly expressed in the ovaries of CLas-positive psyllids than those of CLas-negative individuals. Knockdown of DcAKH and DcAKHR resulted in TAG accumulation and a significant decrease in glycogen levels in the fat bodies. Most importantly, the CLas titer in the ovaries of CLas-positive psyllids and fecundity significantly reduced when feeding with dsDcAKH and dsDcAKHR. Our results support the idea that reproductive disruption from AKH/AKHR knockdown is due to the inability of females to mobilize lipid reserves in the fat bodies required for oocyte maturation during vitellogenesis.

To date, there are no reports on the post-transcriptional regulation of AKHR. As important post-transcriptional regulators, miRNAs generally suppress their target genes by triggering mRNA degradation or translational repression (Bartel, 2018). There is increasing evidence implicating miRNAs in the metabolic processes of insects, particularly in relation to reproduction. In addition to functions of miR-277 described in the Introduction, this miRNA targets ilp7 and ilp8 thereby controlling lipid metabolism and reproduction in A. aegypti (Ling et al., 2017). miR-8 depletion in mosquitoes resulted in an increase of its target gene, secreted wingless-interacting molecule, and lipid accumulation in developing oocytes (Lucas et al., 2015). Depletion of miR-8 in mosquitoes by antagomir injection upregulates secreted wingless-interacting molecule and decreases the level of lipids in ovaries to block vitellogenesis post-blood meals (Page et al., 2012). A switch from catabolic to anabolic amino acid metabolism in fat bodies mediated by miR-276 restricts mosquito investment into oogenesis and benefits the development of Plasmodium falciparum (Lampe et al., 2019). In the current study, based on in vitro and in vivo experiments, we found that host miR-34 targets DcAKHR. miR-34 was observed to have an opposite expression trend to DcAKHR, and its expression in the ovaries of CLas-positive psyllids was lower than in those of CLas-negative individuals. Treatment of miR-34 agomir and antagomir, respectively, resulted in a significant decrease and increase in DcAKHR mRNA and protein levels. In addition, miR-34 overexpression not only led to the accumulation of TAG and the reduction of glycogen levels in fat bodies, but also decreased fecundity and CLas titers in the ovaries similar to the phenotypes caused by silencing of DcAKHR. This indicates that CLas inhibited host miR-34 to enhance DcAKHR expression and improve the lipid metabolism and fecundity. This study is the first to report the manipulation of host miRNAs and target genes by a bacterium to affect lipid metabolism and reproduction of their vector.

Vitellogenesis is strongly linked with insect JH production (Roy et al., 2018). The fat body is an important tissue that senses and integrates various nutritional and hormonal signals required for the regulation of vitellogenesis (Arrese and Soulages, 2010). Moreover, JH is also involved in the nutrient-dependent regulation of insect reproduction, but the mechanism of action remains obscure. Lu et al., 2018; Lu et al., 2016a; Lu et al., 2016b have demonstrated that nutritional signaling during female reproduction induces JH biosynthesis that in turn stimulates vitellogenin expression in fat bodies and egg production in N. lugens. In order to evaluate the possible relationship between AKH/AKHR-mediated lipolysis and JH-dependent vitellogenesis, the expressions of JH signaling pathway-related genes in fat bodies and ovaries were determined after knockdown of DcAKH and DcAKHR. We found that reducing DcAKH or DcAKHR by RNAi in CLas-positive D. citri not only decreased JH titer but also resulted in a decrease in the expression of DcMet and DcKr-h1 in the fat bodies and ovaries, as well as the egg development-related genes, DcVg-1-like, DcVg-A1-like and DcVgR. Similar results were detected in the agomir-34 treatment. Our results suggest that AKH/AKHR-based lipolysis plays an important regulatory role in the JH signaling pathway during D. citri-CLas interactions.

In conclusion, we proposed the scheme of events following CLas infection presented in Figure 7. Upon infection with CLas, D. citri exhibits enhanced fecundity compared to uninfected individuals. The interaction between CLas and D. citri affecting reproduction is a win-win strategy; the increased offspring of D. citri contributes to a higher presence of CLas in the field. CLas upregulates the AKH/AKHR signaling and downregulates miR-34 to increase lipid metabolism and activate JH-dependent vitellogenesis, thereby improving the fecundity of CLas-positive females. Overall, our results not only broaden our understanding of the molecular mechanism underlying the D. citri-CLas interaction, but also provide valuable insights for further integrated management of D. citri and HLB by targeting the DcAKH/DcAKHR signaling pathway.

Figure 7
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Mechanisms linking metabolism and reproduction of D. citri induced by Candidatus Liberibacter asiaticus (CLas).

After infection with CLas, the triacylglycerides (TAG) and glycogen levels in fat bodies of CLas-positive psyllids significantly increased as well as the size of lipid droplets. In ovaries, CLas upregulates the AKH/AKHR signaling and downregulates miR-34 to increase lipid metabolism and activate juvenile hormone (JH)-dependent vitellogenesis, thereby improving the fecundity of CLas-positive females. D. citri are more fecund than their uninfected counterparts. The interaction between CLas and D. citri affecting reproduction is a win-win strategy; the more offspring of D. citri, the more CLas in the field.

Materials and methods

Host plants and insect colonies

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The CLas-negative (healthy) and CLas-positive D. citri colonies were obtained from a laboratory culture continuously reared on the healthy and CLas-infected lemon (Citrus ×limon (L.) Osbeck) plants. Monthly monitoring of the CLas infection in both the lemon plants and psyllids was conducted using quantitative polymerase chain reaction (qPCR). The two populations were raised in different incubators with same conditions (26±1℃, 65±5% relative humidity (RH), and a 14 hr light: 10 hr dark cycle). CLas-negative and CLas-positive lemon plants were grown in two separate glasshouses.

Bioinformatics and phylogenetic analyses

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The physicochemical properties of DcAKH (GenBank accession number: MG550150.1) and DcAKHR (GenBank accession number: OR259432) were analyzed using the online bioinformatics ProtParam tool (http://web.expasy.org/protparam/). Search and download amino acid sequences of other species in the NCBI database. Homologous protein sequences of AKH and AKHR were aligned with those of other insects using DNAman6.0.3 software. Phylogenetic trees were constructed with the neighbor-joining method in MEGA5.10 software, with 1000 bootstrap replicates; bootstrap values >50% are shown on the tree.

Assays of reproductive parameters

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Tested females from two colonies were selected and paired with healthy males. One female and one male were placed onto young vegetative shoots (flush) of healthy lemon plants to promote oviposition; the flush and insects were sealed with a tied white mesh bag (15×20 cm). These lemon plants were held in an incubator (25±1℃, 65±5% RH, 14 L: 10D photoperiod). After 24 hr, the preoviposition period and oviposition period were recorded, the number of eggs laid per female were counted, and this pair of psyllids were transferred to a new flush to continue egg laying. Eggs were counted daily until all females died. All the experiments were performed using three replications, and about 15 pairs of D. citri for each replication.

Quantitative RT-PCR (qRT-PCR)

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For mRNA expression analysis, total RNA was extracted using TRIzol reagent (Invitrogen, Carlsbad, CA, United States), and the synthesis of first-strand cDNA was performed using a PrimeScript II 1st Strand cDNA Synthesis Kit (Takara, Beijing, China) in accordance with the manufacturer’s instructions. qRT-PCR was carried out by using the TB Green Premix Ex Taq II (Takara, Beijing, China) on an ABI PRISM 7500 Real-Time System (Applied Biosystems, Foster City, CA, USA). The beta-actin (Dcβ-ACT, GenBank XM_026823249.1) gene was used as an internal control to normalize gene expression levels. For miRNA expression analysis, miRNA was extracted using a miRcute miRNA Isolation Kit (TIANGEN, Beijing, China), synthesized using a miRcute Plus miRNA First-Strand cDNA Kit (TIANGEN, Beijing, China), and quantified using the miRcute Plus miRNA qPCR Kit (SYBR Green) (TIANGEN, Beijing, China). U6 snRNA was used as an internal control to normalize the expression of miRNA. All the primers used are listed in Supplementary file 1.

Luciferase activity assay

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The 185 bp sequence of the 3’UTR containing the predicted target sites for miR-34 in DcAKHR was cloned into the pmirGLO vector (Promega, Wisconsin, USA) downstream of the luciferase gene to construct the recombinant plasmid, DcAKHR-3’UTR-pmirGLO, using the pEASY-Basic Seamless Cloning and Assembly Kit. The mutated 3’UTR sequence was amplified and cloned into the pmirGLO vector to generate the DcAKHR-3’UTR mutant-pmirGLO plasmid. The agomir and antagomir of miRNAs were chemically synthesized and modified by GenePharma (Shanghai, China) with chemically modified RNA oligos of the same sequence or anti-sense oligonucleotides of the miRNA. The negative control for agomir and antagomir was provided by the manufacturer. According to the manufacturer’s instructions, the constructed vector (500 ng) and miRNA agomir (275 nM) were co-transferred into HEK293T cells in a 24-well plate using a Calcium Phosphate Cell Transfection Kit (Beyotime, Nanjing, China). After co-transfection for 24 hr, the activities of firefly and Renilla luciferase were detected using the Dual-Glo Luciferase Assay System (Promega, Madison, WI, USA), and the average luciferase activity was calculated.

Fluorescence in situ hybridization (FISH)

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FISH using a CLas probe was carried out as previously described (Hosseinzadeh et al., 2019). Under a dissecting microscope, the ovaries of CLas-negative and CLas-postive D. citri were dissected in 1×phosphate-buffered saline (PBS) (Beyotime Biotechnology, Shanghai, China). Firstly, the isolated ovaries were fixed in Carnoy’s fixative (glacial acetic acid-ethanol-chloroform, 1:3:6, vol/vol) for 12 hr at 25 ℃, washed four times (5 min each time) with 6% H2O2 in 80% ethanol and then three times (10–15 min per time) with PBST (1x PBS: TritonX-100, 99.7:0.3, (vol/vol)). Second, the samples were pre-incubated three times (10 min per time) in hybridization buffer (20 mM Tris-HCl, pH 8.0, 0.9 M NaCl, 30% formamide (vol/vol), 0.01% sodium dodecyl sulfate (wt/wol)) containing 10 pmol/mL of each probe for 24 hr at 25 ℃, then washed three times with PBST. Third, nuclei were stained with 0.1 mg/mL of 40, 60-diamidino-2-phenylindole (DAPI) (Sigma-Aldrich, St Louis, MO, USA) for 15 min, then washed once with PBST. Finally, the stained ovaries were mounted in a mounting medium. The slides were scanned under a Leica TCS-SP8 (Leica Microsystems Exton, PA USA) confocal microscope; excitation lasers emitting at 405 nm and 550 nm were used to detect the DAPI and Cy3 signals, respectively, and sequential scanning was used to avoid the signal overlap of probes. Image processing was completed using Leica LAS-AF software (v2.6.0). Specificity of detection was carried out using without the probe and CLas-negative controls. Three FISH tests were performed and at least 20 ovaries were viewed under the microscope to confirm the repeatability. The probe sequences used in the current study are listed in Supplementary file 1.

Western blotting

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The total proteins from D. citri ovaries were extracted using RIPA protein lysis buffer (50 mM Tris pH 7.4, 1% Triton X-100, 150 mM NaCl, 1% sodium deoxycholate, and 0.1% SDS) with 1 mM PMSF. Protein concentrations were quantified using a BCA protein assay kit (Beyotime, Jiangsu, China). Aliquots of 60 μg protein were separated by 12% SDS-PAGE and transferred to polyvinylidene fluoride membranes (Millipore). Subsequently, the membranes were incubated with the primary antibody against DcAKHR (1: 1000 dilution, ABclonal Technology Co., Ltd., Wuhan, China) for 12 hr at 4 °C and then with the secondary antibody (goat anti-rabbit IgG conjugated with HRP, 1: 10000 dilution) for 2 hr at 25 °C. A mouse monoclonal antibody against β-actin (TransGen Biotech, Beijing, China) was used as a control. Immunoreactivity was imaged with the enhanced chemiluminescence with Azure C600 multifunctional molecular imaging system.

Nile red staining

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The fat bodies were dissected from adult females 5 DAE, fixed in 4% paraformaldehyde for 30 min at 25℃, and washed twice with 1x PBS. Lipid droplets were incubated for 30 min within the mixture of Nile red (0.1 μg/μL, Beijing Coolaber Technology Co., Ltd) and DAPI (0.05 μg/μL), and then washed twice with 1x PBS. The samples were imaged using a laser scanning microscopy (TCS-SP8, Leica Microsystems Exton, PA USA).

Determination of TAG levels

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TAG levels were measured using a Triglycerides Colorimetric Assay (Cayman) in accordance with the manufacturer’s instructions. In short, thirty fat bodies were homogenized in 100 μL of Diluent Assay Reagent. Then 10 μL of supernatant was incubated with an Enzyme Mixture solution, and the TAG contents from the measurements were normalized to protein levels in the supernatant of the samples determined using a BCA protein assay (Thermo Fisher Scientific). Three independent biological replicates were analyzed for each treatment, and each treatment included three technical replicates.

Determination of glycogen levels

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Glycogen levels were assayed using a Glycogen Assay Kit (Cayman) in accordance with the manufacturer’s instructions. In brief, thirty fat bodies were homogenized in 100 μL of Diluent Assay Reagent, and 10 μL of supernatant was incubated with Enzyme Mixture solution and Developer Mixture. The glycogen levels from the measurements were normalized to protein levels in the supernatant of the sample determined using a BCA protein assay (Thermo Fisher Scientific). Three independent biological replicates were analyzed for each treatment, and each treatment included three technical replicates.

dsRNA synthesis and RNAi assay

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dsRNAs of DcAKH and DcAKHR were transcribed by a Transcript Aid T7 High Yield kit (Thermo Scientific, Wilmington, DE, United States) and purified using the GeneJET RNA Purification kit (Thermo Scientific). miRNA agomir, agomir negative control, miRNA antagomir, and antagomir negative control were synthesized in the Shanghai GenePharma Co. Ltd. (Shanghai, China). The RNAi and miRNA treatments were performed by feeding dsRNA or miRNA antagomir/agomir through an artificial diet as described previously (Yu and Killiny, 2018). Briefly, 20 females at 7 DAE were placed into a glass cylinder (25×75 mm) and sealed with two stretched paramembranes. 200 μL of 20% (w:v) sucrose mixed with dsRNA was placed between two paramembranes for feeding. The final ingestion concentrations of dsDcAKH and dsDcAKHR were 200 ng/μL and 300 ng/μL, respectively. After feeding with dsRNA for 48 hr, the treated females were assayed as follows. The ovaries were dissected or qRT-PCR and western blot analysis. Reproductive parameters including the pre-oviposition period, oviposition period, and fecundity were recorded. CLas titers in the ovaries were assayed. Ovary morphologies were observed using an Ultra-Depth Three-Dimensional Microscope (VHX-500). Fat bodies were stained with Nile red. TAG levels and glycogen levels were determined. Green fluorescent protein (GFP) was used as a reporter gene. Feeding dsGFP was used as the control when psyllids were fed with dsRNA. All the experiments were performed in three replications, and each replication included 15–20 pairs of D. citri.

Heterologous expression and calcium mobilization assay

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The complete ORF of DcAKHR was cloned into the expression vector pcDNA3.1+; cloning was confirmed by sequencing (TSINGKE Bio). Endotoxin-free plasmid DNA of the vector was extracted, and all tested peptides were synthesized by Sangon Biotech (Shanghai, China) at a purity >95% (see Figure 1B for peptide structures). Chinese hamster ovary (CHO-WTA11) cells supplemented with Gα16 subunit and aequorin were used (Jiang et al., 2017) and transfected with pcDNA3.1+-DcAKHR or empty pcDNA3.1+ (negative control) vectors using Lipofectamine 2000 (Thermo Fisher Scientific, Waltham, MA USA). The calcium mobilization assay was performed with slight modification as described by Gui et al., 2017 (Gui et al., 2017) and Shi et al., 2017 (Shi et al., 2017). In brief, the cells were incubated for 3 hr in the dark with coelenterazine h (Promega, Madison, WI, USA) 48 hr after the transfection. Then, serial dilutions of peptide ligands (10−6 to 101 μM) were loaded into opaque 96-well plates. Luminescence was measured over 15 s using a SpectraMax i3x Multi-Mode Microplate Reader (Molecular Devices). Medium alone was used as a blank control and 100 μM ATP was served as a positive control. Each experiment was repeated three times.

JH titer detection

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JH titers were assessed using the Insect JH III ELISA kit (Shanghai Enzyme-linked Biotechnology Co., Ltd. Shanghai, China) following the manufacturer’s protocol.

Statistical analysis

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All statistical values are presented as means ± SEM. Statistical analyses were performed by GraphPad Prism 8.0 software. Student’s t-test was used to determine the pairwise comparisons at the following significance levels (*p<0.05, **p<0.01, ***p<0.001). For multiple comparisons, one-way ANOVA with Tukey’s Honest Significant Difference tests was used to separate means at p<0.05.

Data availability

The published article includes all data generated or analyzed during this study. The full sequences were submitted to NCBI, accession number: MG550150.1 for DcAKH, OR259432 for DcAKHR, OP251123 for DcMet, XM_026820026.1 for DcKr-h1, XM_008488883.3 for DcVg-1-like, XM_026832896.1 for DcVg-A1-like and OP251122 for DcVgR.

The following data sets were generated
    1. Nian X
    (2024) NCBI GenBank
    ID OR259432. Diaphorina citri adipokinetic hormone receptor protein mRNA, complete cds.
    https://www.ncbi.nlm.nih.gov/nuccore/OR259432
    1. Nian X
    (2022) NCBI GenBank
    ID OP251123. Diaphorina citri juvenile hormone receptor methoprene-tolerant protein (Met) mRNA, complete cds.
    https://www.ncbi.nlm.nih.gov/nuccore/OP251123
    1. Nian X
    (2022) NCBI GenBank
    ID OP251122. Diaphorina citri vitellogenin receptor (VgR) mRNA, complete cds.
    https://www.ncbi.nlm.nih.gov/nuccore/OP251122
The following previously published data sets were used
    1. Wang Z
    2. Zeng X
    (2017) NCBI GenBank
    ID MG550150.1. Diaphorina citri AKH mRNA, complete cds.
    https://www.ncbi.nlm.nih.gov/nuccore/MG550150.1/
    1. Saha S
    (2013) NCBI GenBank
    ID XM_026820026.1. PREDICTED: Diaphorina citri Krueppel homolog 1-like (LOC103524696), mRNA.
    https://www.ncbi.nlm.nih.gov/nuccore/XM_026820026.1/
    1. Saha S
    (2017) NCBI GenBank
    ID XM_008488883.3. PREDICTED: Diaphorina citri vitellogenin-1-like (LOC103523873), mRNA.
    https://www.ncbi.nlm.nih.gov/nuccore/XM_008488883.3
    1. Saha S
    (2013) NCBI GenBank
    ID XM_026832896.1. PREDICTED: Diaphorina citri vitellogenin-A1-like (LOC103523199), mRNA.
    https://www.ncbi.nlm.nih.gov/nuccore/XM_026832896.1

References

  7. Book
    1. Beattie GAC
    (2020) Asian citrus Psyllid: biology, ecology and management of the huanglongbing vector
    In: Qureshi JA, Stansly PA, editors. Management of the Asian Citrus Psyllid in Asia. UK: CAB International. pp. 179–209.
    https://doi.org/10.1079/9781786394088.0000
    1. Capoor SP
    2. Rao DG
    (1967)
    A vector of the greening disease of citrus in India
    Indian J. Agric. Sci 37:572–576.

Article and author information

Author details

  1. Jiayun Li

    National Key Laboratory of Green Pesticide, Department of Entomology, College of Plant Protection, South China Agricultural University, Guangzhou, China
    Contribution
    Conceptualization, Resources, Data curation, Software, Formal analysis, Validation, Investigation, Visualization, Methodology, Writing – original draft
    Competing interests
    No competing interests declared

  2. Paul Holford

    School of Science, Western Sydney University, Penrith, Australia
    Contribution
    Conceptualization, Validation, Visualization, Methodology, Writing – review and editing
    Competing interests
    No competing interests declared

  3. George Andrew Charles Beattie

    School of Science, Western Sydney University, Penrith, Australia
    Contribution
    Conceptualization, Validation, Visualization, Methodology, Writing – review and editing
    Competing interests
    No competing interests declared

  4. Shujie Wu

    National Key Laboratory of Green Pesticide, Department of Entomology, College of Plant Protection, South China Agricultural University, Guangzhou, China
    Contribution
    Resources, Data curation, Investigation
    Competing interests
    No competing interests declared

  5. Jielan He

    National Key Laboratory of Green Pesticide, Department of Entomology, College of Plant Protection, South China Agricultural University, Guangzhou, China
    Contribution
    Resources, Data curation, Investigation
    Competing interests
    No competing interests declared

  6. Shijian Tan

    National Key Laboratory of Green Pesticide, Department of Entomology, College of Plant Protection, South China Agricultural University, Guangzhou, China
    Contribution
    Investigation
    Competing interests
    No competing interests declared

  7. Desen Wang

    National Key Laboratory of Green Pesticide, Department of Entomology, College of Plant Protection, South China Agricultural University, Guangzhou, China
    Contribution
    Software, Formal analysis
    Competing interests
    No competing interests declared

  8. Yurong He

    National Key Laboratory of Green Pesticide, Department of Entomology, College of Plant Protection, South China Agricultural University, Guangzhou, China
    Contribution
    Conceptualization, Funding acquisition, Visualization, Methodology
    Competing interests
    No competing interests declared

  9. Yijing Cen

    National Key Laboratory of Green Pesticide, Department of Entomology, College of Plant Protection, South China Agricultural University, Guangzhou, China
    Contribution
    Conceptualization, Resources, Funding acquisition, Visualization, Methodology, Writing – original draft, Project administration, Writing – review and editing
    For correspondence
    cenyj@scau.edu.cn
    Competing interests
    No competing interests declared

  10. Xiaoge Nian

    1. National Key Laboratory of Green Pesticide, Department of Entomology, College of Plant Protection, South China Agricultural University, Guangzhou, China
    2. Henry Fok School of Biology and Agriculture, Shaoguan University, Shaoguan, China
    Contribution
    Conceptualization, Resources, Data curation, Software, Formal analysis, Funding acquisition, Investigation, Visualization, Methodology, Writing – original draft, Project administration, Writing – review and editing
    For correspondence
    nianxiaoge0629@126.com
    Competing interests
    No competing interests declared
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-6341-6431

Funding

National Natural Science Foundation of China (32102193)

  • Xiaoge Nian

The Open Competition Program of Ten Major Directions of Agricultural Science and Technology Innovation for the 14th Five-year Plan of Guangdong Province (2022SDZG07)

  • Yurong He

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Acknowledgements

This research was supported by the National Natural Science Foundation of China, grant number 32102193, and the Open Competition Program of Ten Major Directions of Agricultural Science and Technology Innovation for the 14th Five-Year Plan of Guangdong Province, grant number 2022SDZG07.

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  1. Jiayun Li
  2. Paul Holford
  3. George Andrew Charles Beattie
  4. Shujie Wu
  5. Jielan He
  6. Shijian Tan
  7. Desen Wang
  8. Yurong He
  9. Yijing Cen
  10. Xiaoge Nian
(2024)
Adipokinetic hormone signaling mediates the enhanced fecundity of Diaphorina citri infected by ‘Candidatus Liberibacter asiaticus’
eLife 13:RP93450.
https://doi.org/10.7554/eLife.93450.3

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    Ivan Pokrovsky, Teja Curk ... Martin Wikelski
    Research Article

    Advances in tracking technologies have revealed the diverse migration patterns of birds, which are critical for range mapping and population estimation. Population trends are usually estimated in breeding ranges where birds remain stationary, but for species that breed in remote areas like the Arctic, these trends are often assessed in over-wintering ranges. Assessing population trends during the wintering season is challenging due to the extensive movements of birds in these ranges, which requires a deep understanding of the movement dynamics. However, these movements remain understudied, particularly in the mid-latitudes, where many Arctic breeders overwinter, increasing uncertainty in their ranges and numbers. Here, we show that the Arctic breeding raptor Rough-legged buzzard, which overwinters in the mid-latitudes, has a specific wintering strategy. After migrating ca. 1500 km from the Arctic to mid-latitudes, the birds continue to move throughout the entire over-wintering period, traveling another 1000 km southwest and then back northeast as the snowline advances. This continuous movement makes their wintering range dynamic throughout the season. In essence, this movement represents an extension of the quick migration process, albeit at a slower pace, and we have termed this migration pattern ‘foxtrot migration’, drawing an analogy to the alternating fast and slow movements of the foxtrot dance. These results highlight the potential errors in range mapping from single mid-winter surveys and emphasize the importance of this migration pattern in assessing the conservation status of bird species. Understanding this migration pattern could help to correctly estimate bird populations in over-wintering ranges, which is especially important for species that nest in hard-to-reach regions such as the Arctic.