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. 2026 Jun 22;15:RP109081. doi: 10.7554/eLife.109081

Dopamine and its receptor DcDop2 are involved in the coevolution between ‘Candidatus Liberibacter asiaticus’ and Diaphorina citri

Xiaoge Nian 1,2, Jiayun Li 2, Jilei Huang 3, Weiwei Yuan 2, Paul Holford 4, George Andrew Charles Beattie 4, Jielan He 2, Yijing Cen 2, Yurong He 2, Songdou Zhang 1,✉
Editors: Kirsten Pelz-Stelinski5, Albert Cardona6
PMCID: PMC13286569  PMID: 42329805

Abstract

‘Candidatus Liberibacter asiaticus’ (CLas), the causal agent of citrus huanglongbing, is transmitted by the Asian citrus psyllid Diaphorina citri. While CLas-positive (CLas+) females exhibit increased fecundity and metabolic demands, their neuroendocrine regulation mechanisms remain unclear. We propose CLas manipulates dopamine (DA) signaling to enhance psyllid fecundity and CLas proliferation. Metabolomics revealed elevated DA in CLas+ females. Silencing DA synthesis genes and receptor DcDop2 via RNAi reduced lipid reserves, fecundity, and ovarian CLas titers. Through combined in vivo and in vitro experiments, we demonstrated that the microRNA miR-31a suppresses DcDop2 expression by binding to its 3’ untranslated region. Overexpression of miR-31a resulted in decreased DcDop2 expression and CLas titers in the ovaries, eliciting phenotypic defects akin to DcDop2 knockdown. Furthermore, DcDop2 knockdown and miR-31a overexpression reduced juvenile hormone (JH) levels and adipokinetic hormone (AKH) signaling in fat bodies and ovaries. Consequently, CLas regulates the DA-DcDop2 signaling axis to improve D. citri lipid metabolism and fecundity, while simultaneously promoting its replication. These findings reveal a coevolution between CLas proliferation and ovarian development in the insect host. This discovery enhances our understanding of the molecular interplay between plant pathogens and vector insects and offers novel targets and strategies for HLB field management.

Research organism: Other

Introduction

Plant pathogens can significantly reduce the yields and quality of agricultural and horticultural crops, and many rely on arthropod vectors for their transmission from host to host (Bourne et al., 2024). Over recent decades, extensive research has focused on the intricate relationships that can occur between vectors and pathogens (Mao et al., 2019; Berasategui et al., 2022; Ray and Casteel, 2022). Exploring such interactions between the pathogens and vectors stands at the forefront of vector biology and ecology, offering a foundational framework for the efficacious prevention and management of vector-borne plant diseases. Nonetheless, investigations focused on the mechanisms governing these interactions have predominantly centered on vector-virus or vector-fungus dynamics, with comparatively less attention devoted to vector-bacteria interactions (Mao et al., 2019; Ray and Casteel, 2022).

The most serious impediment to global citrus production is the severe Asiatic form of a disease known as huánglóngbìng (HLB: yellow shoot disease) (Beattie, 2020a; Beattie, 2020b; Fuentes et al., 2018; Gottwald, 2010; Leong et al., 2022; Pérez-Hedo et al., 2024; Wang et al., 2017). It is associated with ‘Candidatus Liberibacter asiaticus’ (CLas: α-Proteobacteria), a phloem-limited bacterium that is normally transmitted between rutaceous hosts by the Asiatic citrus psyllid (ACP), Diaphorina citri Kuwayama (Hemiptera: Psyllidae). The disease has severely affected citrus cultivation in Asia, initially in South Asia since the late 1800s, and in the Americas since 2004. CLas and ACP both originated in South Asia (Leong et al., 2022). The original host of the pathogen is not known. The original host of ACP was probably a citrus relative, possibly curry leaf (Bergera koenigii L.) or Murraya intermedia (M. Roem.) Mabb (Beattie, 2020a). Koch’s postulates confirming CLas as the cause of the disease have not been fully demonstrated; partial fulfillment was reported by Zheng et al., 2024 and there is general agreement in the research community that the disease is caused by CLas. Use of insecticides is the most common strategy used for minimizing populations of D. citri to limit impacts of the disease (Gottwald, 2010; Bové, 2014). However, experience in Asia (Beattie, 2020b; Leong et al., 2022), the United States (Graham et al., 2020; Li et al., 2020), and recent media reports from Brazil indicate that it is not possible to rely on the use of insecticides to prevent the spread of CLas.

Recent studies have indicated that CLas-positive D. citri exhibit higher fecundity in comparison to their CLas-negative counterparts (Pelz-Stelinski and Killiny, 2016; Ren et al., 2016; Wu et al., 2018). Nian et al., 2024 reported that infection with CLas enhances the fecundity of D. citri and then aids the pathogen proliferation; a win-win strategy. Furthermore, Li et al., 2024 demonstrated that adipokinetic hormone (AKH)/AKH receptor (AKHR) signaling influences lipid metabolism and boosts the fecundity of D. citri induced by CLas. Reproduction during the adult life stage of female insects is a metabolically demanding process intricately governed by the neurohormone system; a delicate balance exists between neural control and lipid storage and utilization throughout the reproductive phase (Siju et al., 2021). Nevertheless, the precise mechanism about how D. citri maintains this balance following CLas infection, involving neurohormone regulation, lipid metabolism, and heightened fecundity, still lacks comprehensive elucidation.

Dopamine (DA), a conserved and potent catecholamine neurotransmitter found in both vertebrates and invertebrates, plays crucial roles in modulating various behaviors such as locomotor activity, sexual behavior, development, reproduction, and endocrine functions (Ma et al., 2011; Sasaki et al., 2017; Shen et al., 2020; Morigami and Sasaki, 2024). The fundamental steps involved in dopaminergic neurotransmission are evolutionarily conserved between flies and humans. In Drosophila melanogaster Meigen (Diptera: Drosophilidae), tyrosine hydroxylase (TH), the rate-limiting enzyme in dopamine biosynthesis and encoded by the pale gene, catalyzes the conversion of tyrosine to l-3,4-dihydroxyphenylalanine (L-DOPA), an intermediate subsequently transformed into DA via decarboxylation by dopa decarboxylase (DDC). The vesicular amine transporter (VAT) governs the synaptic release of DA, activating DA receptors to initiate downstream signal transduction pathways. Vertebrates possess five DA receptor subtypes categorized into D1-like (D1 and D5) and D2-like (D2, D3, D4) receptor groups (Xu et al., 2017). In contrast, invertebrates, particularly insects, have four DA receptor subtypes: D1-like DA receptor (Dop1), invertebrate-type DA receptor (Dop2), D2-like DA receptor (Dop3), and DopEcR. Dopamine and its receptors play crucial roles in insect reproductive processes (Sasaki et al., 2017). In male D. melanogaster, brain DA levels influence sexual orientation, with both excessively high and low DA levels triggering same-sex courtship behavior among males (Liu et al., 2008; Chen et al., 2012). Mutations in DA receptors (Dop1, Dop2, Dop3, and DopEcR) in D. melanogaster result in reduced mating time (Crickmore and Vosshall, 2013). In Tribolium castaneum (Herbst) (Coleoptera: Tenebrionidae), disruption of Dop3 inhibits yolk protein uptake and ovarian development (Bai and Palli, 2016). Whether DA signaling involves in the heightened fecundity of CLas-positive D. citri currently remains unknown.

While extensive research has focused on the DA signaling pathway, the post-transcriptional regulation of this pathway by microRNAs (miRNAs) remains relatively understudied. miRNAs, small non-coding RNAs approximately 22 nucleotides in length, bind to the 3’-untranslated region (UTR) of target messenger RNAs (mRNAs), leading to either translation repression or mRNA degradation (Bartel, 2018). These miRNAs play pivotal roles in modulating cellular processes at the post-transcriptional level across various biological contexts (Lucas et al., 2015; Chen et al., 2020; Song and Zhou, 2020). In the migratory locust, Locusta migratoria (L.) (Orthoptera: Acrididae), miRNA-133 targets two key genes, henna and pale, within the DA synthesis pathway, resulting in the downregulation of their expression and subsequent inhibition of DA synthesis. This inhibition leads to the transition of locusts from gregarious to solitary phases (Yang et al., 2014). Additionally, Dop1 can mediate locust olfactory attraction behavior by inhibiting the expression of miR-9a (Guo et al., 2018). In Helicoverpa armigera (Hübner) (Lepidoptera: Noctuidae), miR-14 and miR-2766 are involved in regulating larval metamorphosis by targeting the expression of HaTH that encodes tyrosine hydroxylase (Shen et al., 2022). Recent findings by Liu et al., 2023 demonstrated that the miRNA, let-7, increases the sensitivity of European honeybee, Apis mellifera L. (Hymenoptera: Apidae), to sucrose by targeting the DA receptor, AmDop2. Currently, there is a dearth of studies elucidating the role of miRNAs in regulating genes within the DA signaling pathway of citrus psyllids.

In a previous study, we observed that CLas regulates the juvenile hormone (JH) signaling pathway and host miR-275, which targets the vitellogenin receptor (DcVgR), to improve D. citri fecundity while simultaneously advancing CLas replication (Nian et al., 2024). This suggests a coevolution between CLas and its insect vector. Subsequent research showed that CLas manipulates AKH/AKHR-JH signaling to enhance D. citri lipid metabolism and fecundity, meanwhile facilitating its own replication. As of now, there is a lack of reports detailing the involvement of miRNAs targeting DA signaling genes in D. citri-CLas interactions that cause the increased fecundity of CLas-infected D. citri females. Therefore, in this study, we utilize the D. citri-CLas interaction system as a model to explore the molecular mechanisms underpinning the influence of DA signaling on lipid metabolism and fecundity of CLas-positive D. citri. Our research aims to enhance our understanding of interactions between insect vectors and pathogens, with the potential to reveal innovative strategies for managing D. citri and HLB.

Results

CLas infection elevates dopamine levels and the expression of dopamine biosynthesis genes in female adult D. citri

To investigate the potential association between neurotransmitters and increased fecundity of CLas-positive (CLas+), female D. citri, we constructed six libraries using samples from CLas+ and CLas-negative (CLas-) individuals for metabolomic analyses of neurotransmitter contents. The analyses revealed alterations in 23 neurotransmitters: 6 were upregulated, 7 were downregulated, 5 remained unchanged, and 5 were undetectable. Notably, among the upregulated neurotransmitters, levels of DA and L-DOPA were significantly higher in CLas+ females compared to their CLas- counterparts (Figure 1A). Further investigations confirmed the involvement of DA in the D. citri-CLas interaction by assessing DA levels in CLas- and CLas+ females. Remarkably, DA levels showed a significant increase during the ovarian development stages 5, 9, and 13 days after emergence (DAE) in CLas+ females compared to CLas- females (Figure 1B). In insects, DA production is intricately linked to the reproductive process, involving the conversion of phenylalanine (Phe) to tyrosine (Tyr), tyrosine hydroxylation to generate L-DOPA, decarboxylation of L-DOPA to form DA, and subsequent release of DA to target tissues (Figure 1C). To assess the expression profiles of genes associated with DA biosynthesis and release, we analyzed the expression of DcHenna1 and DcHenna2 (encoding phenylalanine hydroxylase 1 and 2), DcTh (encoding tyrosine hydroxylase), DcDdc (encoding dopa decarboxylase), and DcVat1 and DcVat2 (encoding vesicular amine transporter 1 and 2). These genes were chosen based on transcriptomic sequencing conducted in our laboratory. Using qPCR data, we created the heat maps illustrating the expression levels of these genes among various tissues. Notably, compared to CLas- females, elevated mRNA levels of DcHenna1, DcTh, DcDdc, and DcVat1 were detected in the ovaries, whole body, and head of CLas+ females (Figure 1D, Figure 1—figure supplement 1). These findings imply a possible role of the DA signaling pathway in modulating the increased fecundity seen in CLas+ female adults.

Figure 1. Effects of CLas on dopamine levels and the expression of DA biosynthesis genes in D. citri.

(A) A volcano plot highlighting differentially-expressed neurotransmitters in CLas+ and CLas- psyllid ovaries, with six being upregulated (red dots) and seven downregulated (green dots). (B) Comparison of dopamine levels in the ovaries of CLas+ and CLas- females 5, 9, and 13 days after emergence (DAE). (C) Schematic representation of dopamine biosynthesis and release pathway. (D) A heatmap indicating the temporal expression patterns of six dopamine metabolic pathway genes. Data in (B) and (D) are presented as means ± SEM with three independent biological replicates, each with three technical replicates. Significant differences between CLas- and CLas+ psyllids were determined using Student’s t-tests (*p<0.05, **p<0.01, ***p<0.001).

Figure 1.

Figure 1—figure supplement 1. The expression levels of DcHenna1, DcTh, DcDdc, and DcVat1 in the whole body and head of CLas- and CLas+ psyllids.

Figure 1—figure supplement 1.

Data are presented as means ± SEMs. Significant differences between CLas- and CLas+ psyllids were determined using Student’s t-tests (*p<0.05, **p<0.01, ***p<0.001).

Pivotal genes involved in DA biosynthesis regulate the changes in metabolism and fecundity in D. citri mediated by CLas

To investigate the role of DA in the D. citri-CLas interaction within the ovaries, we utilized RNAi to target crucial genes, specifically DcHenna1, DcTh, DcDdc, and DcVat1. Following exposure to dsRNA, the mRNA levels of these genes in the ovaries of CLas- and CLas+ females were significantly reduced compared to those treated with dsGFP (Figure 2—figure supplement 1). Knockdown of these four genes led to a marked decrease in the dopamine titer (Figure 2A), as well as triacylglycerol (TAG) contents, glycogen levels, and lipid droplet sizes in both CLas- and CLas+ females (Figure 2B–D). Additionally, the reduced expression of these critical genes disrupted ovarian development, extended the preoviposition periods, shortened the oviposition periods, and reduced the fecundity compared to dsGFP treatments in both CLas- and CLas+ females (Figure 2E–H). Furthermore, the CLas signal intensity and relative CLas titers in ovaries were notably diminished after gene knockdown (Figure 2I–J). Altogether, the DA signaling pathway acts as a crucial regulator of energy metabolism and reproductive enhancement triggered by CLas in infected D. citri females.

Figure 2. Effects of RNAi-mediated silencing of DcHenna1, DcTh, DcDdc, and DcVat1 on energy metabolism and fecundity of CLas+ females.

(A) Dopamine titer in the CLas- and CLas+ females post treatment for 48 h with dsDcHenna1, dsDcTh, dsDcDdc, or dsDcVat1. (B, C) TAG and glycogen levels in the fat bodies of CLas- and CLas+ females post treatment for 48 h with dsDcHenna1, dsDcTh, dsDcDdc, or dsDcVat1. (D) Lipid droplets stained with Nile red in fat bodies dissected from CLas+ females treated with dsDcHenna1, dsDcTh, dsDcDdc, or dsDcVat1. Scale bar = 40 μm. (E) Ovary phenotypes in CLas+ females post DcHenna1, DcTh, DcDdc, and DcVat1 treatment. Scale bar = 200 μm. o: ovary, s: spermathecae. (F–H) Comparison of preoviposition period, oviposition period, and fecundity between CLas- and CLas+ females treated with dsDcHenna1, dsDcTh, dsDcDdc, or dsDcVat1. (I) CLas titer in ovaries of CLas+ females at 7 DAE treated with dsDcHenna1, dsDcTh, dsDcDdc, or dsDcVat1. (J) Representative confocal images of CLas in reproductive systems of CLas+ females treated with dsDcHenna1, dsDcTh, dsDcDdc, or dsDcVat1. Scale bar = 200 μm. DAPI: cell nuclei were stained with DAPI and visualized in blue. CLas-Cy3: CLas signal visualized in red by staining with Cy3. Merge: merged imaging of co-localization of cell nuclei and CLas. Results in (A–C) and (I) are displayed as means ± SEM with three independent biological replicates, each with three technical replicates. Data in (F–H) are shown as means ± SEM with 30 independent biological replicates. For (A–C) and (F–I), significant differences among different treatments are denoted by lowercase letters based on one-way ANOVA followed by the Tukey’s Honest Significant Difference tests at p<0.05.

Figure 2.

Figure 2—figure supplement 1. The RNAi efficiency of DcHenna1 (A), DcTh (B), DcDdc (C), and DcVat1 (D) in CLas- and CLas+ psyllids treated with dsRNA for 48 h.

Figure 2—figure supplement 1.

DcDop2 acts as a DA receptor and participates in D. citri-CLas mutualism

To identify the DA receptor, fragments of three putative DA receptors in D. citri were obtained from the National Center for Biotechnology Information (NCBI, https://www.ncbi.nlm.nih.gov/, 1988) database, and designated as DcDop1 (XM_017446452.2), DcDop2 (XM_026822145.1), and DcDop3 (XM_008472271.3). The full coding sequence of DcDop1 consists of 1281 nucleotides encoding 426 amino acids, DcDop2 comprises 2049 nucleotides encoding 682 amino acids, and DcDop3 comprises 1560 nucleotides encoding 519 amino acids. To elucidate the evolutionary relationships between D. citri DA receptors and homologues from other insect species, a phylogenetic tree was constructed, revealing a close clustering of DcDop1, DcDop2, and DcDop3 with their orthologous receptors (Figure 3—figure supplement 1). Due to the presence of three DA receptors, the response of each to elevated DA levels induced by CLas infection was assessed using qRT-PCR. The results showed that only DcDop2 responded with an increase in transcription during the evaluation period, with higher levels in CLas+ females compared to CLas- females (Figure 3A); minimal changes in the expression of DcDop1 and DcDop3 were observed (Figure 3—figure supplement 2). Furthermore, tissue-specific expression patterns revealed that DcDop2 exhibited the highest expression in the midgut, followed by the head, fat bodies, and ovaries (Figure 3—figure supplement 3). To validate the up-regulation of DcDop2 by DA, a cell-based calcium mobilization assay was performed; the assay showed significant activation of DcDop2 by DA in a dose-dependent manner, with an EC50 value of 4.05×10–6 mM; no response was observed in an empty vector when challenged with DA (Figure 3—figure supplement 4).

Figure 3. Dopamine concentrations mediated by DcDop2 are involved in the coevolution between CLas and D. citri resulting in increased fecundity.

(A) Temporal expression patterns of DcDop2 between the ovaries of CLas- and CLas+ females. (B) Effects of RNAi on DcDop2 expression at protein and mRNA levels in CLas- and CLas+ females treated with dsDcDop2 for 48 h. (C, D) Comparison of TAG and glycogen levels in fat bodies of CLas- and CLas+ females treated with dsDcDop2 for 48 h. (E) Lipid droplets stained with Nile red in fat bodies dissected from CLas+ females treated with dsDcDop2 for 48 h. Scale bar = 40 μm. (F) Ovary phenotypes in dsDcDop2-treated CLas+ females at 48 h. Scale bar = 200 μm. o: ovary, s: spermathecae. (G–I) Comparison of preoviposition period, oviposition period, and fecundity of CLas- and CLas+ adults treated with dsDcDop2, Dop2 inhibitor (Pimozide, HY-12987, MedChemExpress), and dopamine rescue. (J) CLas titer in ovaries of CLas+ females at 7 DAE treated with dsDcDop2, Dop2 inhibitor (Pimozide, HY-12987, MedChemExpress), and DA rescue. (K) Representative confocal images of the reproductive system of CLas+ females treated with dsDcDop2, Dop2 inhibitor (Pimozide, HY-12987, MedChemExpress), and dopamine rescue. Scale bar = 200 μm. DAPI: cell nuclei were stained with DAPI and visualized in blue. DcDop2-FITC: DcDop2 signal visualized in green by staining with FITC. CLas-Cy3: CLas signal visualized in red by staining with Cy3. Merge: merged imaging of co-localization of cell nuclei, DcDop2 and CLas. Results in (A–D) and (J) are displayed as means ± SEM with three independent biological replicates, each with three technical replicates. Data in (G–I) are shown as means ± SEM with 30 independent biological replicates. Significant differences between treatments and controls are indicated by asterisks in (A–D) (Student’s t-test, *p<0.05, **p<0.01, ***p<0.001). For (G–J), significant differences among different treatments are indicated by lowercase letters based on one-way ANOVA followed by Tukey’s Honest Significant Difference tests at p<0.05.

Figure 3—source data 1. Original file for the western blot analysis in Figure 3B (anti-DcDop2).
Figure 3—source data 2. Original file for the western blot analysis in Figure 3B (anti-β-ACT).

Figure 3.

Figure 3—figure supplement 1. Phylogenetic analysis of the protein sequences of DcDop1, DcDop2, and DcDop3.

Figure 3—figure supplement 1.

The phylogenetic tree was constructed using neighbor-joining with 1000 bootstrap replicates; values >50% are shown on the tree. The scale bar indicates the number of amino acid substitutions per site. Dc = Diaphorina citri; Dm = Drosophila melanogaster; Bm = Bombix mori; Cs = Chilo suppressalis.
Figure 3—figure supplement 2. Temporal expression patterns of (A) DcDop1 and (B) DcDop3 in the ovaries of CLas- and CLas+ psyllids.

Figure 3—figure supplement 2.

Figure 3—figure supplement 3. Expression of DcDop2 in the head, midgut, fat body, and ovary of adult female CLas+ 7 DAE.

Figure 3—figure supplement 3.

Figure 3—figure supplement 4. Concentration-response curves for the effect of Ca2+ on DcDop2-expression in CHO cells.

Figure 3—figure supplement 4.

To explore the influence of DcDop2 on energy metabolism and the reproductive alterations induced by CLas, RNAi was utilized to suppress DcDop2 expression. Psyllids fed with dsDcDop2 displayed a substantial decrease in DcDop2 at protein and mRNA levels in the ovaries of both CLas- and CLas+ females by nearly 80%, respectively, compared to those fed with dsGFP (Figure 3B). Silencing of DcDop2 led to significant reductions in TAG and glycogen levels, along with a notable decrease in lipid droplet sizes (Figure 3C–E). Additionally, DcDop2 RNAi disrupted ovarian development (Figure 3F), extended the preoviposition period (from 13.3 to 14.6 days in CLas- females and from 10.7 to 12.5 days in CLas+ females) (Figure 3G), shortened the oviposition period (from 7.1 to 5.7 days in CLas- females and from 9.9 to 6.8 days in CLas+ females) (Figure 3H), and reduced fecundity (from 140.6 to 94.0 eggs per female in CLas- females and from 233.3 to 104.5 eggs per female in CLas+ females) (Figure 3I). When an inhibitor was used to decrease the mRNA expression of DcDop2, it resulted in phenotype abnormalities similar to those observed with RNAi-mediated DcDop2 knockdown. These effects included an extended preoviposition period, a shortened oviposition period, decreased fecundity, as well as reductions in CLas titer and signal intensity. Interestingly, DA treatment was able to rescue the defective phenotype arising from RNAi-mediated DcDop2 knockdown in CLas- females and CLas+ females. Furthermore, the CLas signal intensity and relative CLas titer in the ovaries of females with DcDop2 knockdown were significantly diminished in the follicle cells and oviduct (Figure 3J and K). These findings suggest that DcDop2 responds to DA and plays a role in the CLas-induced changes in energy metabolism and reproduction in D. citri.

miR-31a directly targets DcDop2 by binding to its 3'-UTR

Utilizing miRanda and RNAhybrid software, we predicted potential miRNAs that could target DcDop2 from our small, D. citri RNA libraries. Three putative miRNAs, namely miR-31a, miR-275, and miR-15 (Figure 4A) were identified and predicted to bind to 3’-UTR sequences. To assess the binding activity of these miRNAs with DcDop2 in vitro, dual-luciferase reporter assays were conducted. Notably, co-transfection of miR-31a agomir (agomir-31a) with the recombinant plasmid containing the full 3’-UTR sequence of DcDop2 led to a significant decrease in luciferase activity compared to the controls, while the activities in the miR-275 or miR-15 treatment groups remained unchanged (Figure 4B). Moreover, the reporter activity was restored upon mutation of the binding sites of miR-31a in the3’-UTR of DcDop2 (Figure 4C). To confirm the specific targeting of DcDop2 by miR-31a, a series of experiments were conducted. Firstly, tissue expression patterns revealed high expression levels of miR-31a in the head, followed by the fat bodies, ovaries, and midgut (Figure 4D). Secondly, miR-31a displayed an expression pattern opposite to that of DcDop2, with transcript levels decreasing over the evaluation period (Figure 4E). Thirdly, treatment with agomir-31a significantly increased miR-31a expression in the ovaries of both CLas- and CLas+ females (Figure 4—figure supplement 1). Correspondingly, the mRNA levels of DcDop2 either increased or decreased after treatments with either antagomir-31a or agomir-31a (Figure 4F), separately. Fourthly, an RNA immunoprecipitation (RIP) assay demonstrated a significant enrichment of DcDop2 mRNA in the anti-AGO-immunoprecipitated RNAs from the ovaries of female psyllids fed with agomir-31a compared to the control samples (Figure 4G). Collectively, these findings strongly support the conclusion that DcDop2 is a direct target of miR-31a.

Figure 4. Identification and validation of the targeting of DcDop2 by miR-31a.

(A) Prediction of potential miRNA binding sites in the 3’-UTR of DcDop2 using miRanda and RNAhybrid. (B) Assessment of miRNA-mediated regulation through dual-luciferase reporter assays in HEK293T cells co-transfected with miRNA agomir and recombinant pmirGLO vectors containing binding sites for miR-275, novel-miR-15, and miR-31a in the 3’ UTR of DcDop2. (C) Dual-luciferase reporter assays in HEK293T cells co-transfected with miR-31a agomir and recombinant pmirGLO vectors containing wild-type or mutated DcDop2-3’UTR. (D) Tissue-specific expression of miR-31a in CLas+ female adults 7 DAE in the head, ovary, fat body, and midgut. (E) Comparison of temporal expression patterns of miR-31a in the ovaries of CLas- and CLas+ females. (F) Impact of miR-31a agomir and antagomir treatments on DcDop2 mRNA level in the ovaries of CLas- and CLas+ psyllids after 48 h. (G) In vivo assessment of miR-31a targeting DcDop2 through RNA immunoprecipitation assay. Data in (B–G) are presented as means ± SEM with three independent biological replicates, each with three technical replicates. For (C, D, F), significant differences among the different treatments are indicated by lowercase letters based on one-way ANOVA followed by Tukey’s Honest Significant Difference tests at p<0.05. Significant differences between treatments and controls are denoted by asterisks in (B) and (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 4G (anti-DcDop2).
Figure 4—source data 2. Original file for the western blot analysis in Figure 4G (anti-β-ACT).

Figure 4.

Figure 4—figure supplement 1. The expression levels of miR-31a in CLas-negative and CLas-positive females treated with agomir-31a or agomir-NC for 48 h.

Figure 4—figure supplement 1.

miR-31a participates in D. citri-CLas mutualism within ovaries

To investigate the influence of miR-31a on the D. citri and CLas interaction, both CLas- and CLas+ females were administered either agomir-NC or agomir-31a. Upon agomir-31a treatment, both populations displayed a significant decrease in TAG and glycogen contents (Figure 5A and B). The lipid droplets in the fat bodies of CLas+ females appeared smaller compared to those in the control group (Figure 5C). Furthermore, treatment with agomir-31a led to impaired ovarian development in CLas+ females (Figure 5D). Additionally, exposure of both CLas- and CLas+ females to agomir-31a resulted in a shortened oviposition period, a significantly prolonged preoviposition period, and a marked decrease in fecundity in comparison to their respective control groups (Figure 5E–G). These observed phenotypes closely resembled those induced by dsDcDop2 treatment. Moreover, a noticeable reduction in CLas signal and relative titers was observed in CLas+ ovaries (Figure 5H and I). In conclusion, these results suggest that miR-31a suppresses DcDop2 expression and plays a critical role in the coevolution between D. citri and CLas within the ovaries.

Figure 5. Involvement of miR-31a in the coevolution between D. citri and CLas.

Figure 5.

(A, B) Comparative analysis of TAG and glycogen levels in the fat bodies of CLas- and CLas+ females following agomir-31a treatment for 48 h. (C) Visualization of lipid droplets stained with Nile red in fat bodies extracted from CLas+ females treated with agomir-31a for 48 h. Scale bar = 40 μm. (D) Ovarian phenotypes of CLas+ female treated with agomir-31a for 48 h. Scale bar = 200 μm. o: ovary, s: spermathecae. (E–G) Comparison of the preoviposition period, oviposition period, and fecundity between CLas- and CLas+ adult females treated with agomir-31a. (H) Quantification of CLas titer in the ovaries of CLas+ females at 7 DAE treated with agomir-31a for 48 h. (I) Representative confocal images showing DcDop2 and CLas in the reproductive system of CLas+ females treated with agomir-31a for 48 h. Scale bar = 200 μm. The signals of DAPI, DcDop2-FITC, and CLas-Cy3 are consistent with those described in Figure 2. Results in (A, B) and (H) are displayed as means ± SEM with three independent biological replicates, each with three technical replicates. Data in (E–G) are shown as means ± SEM with 30 independent biological replicates. Significant differences between treatments and controls are indicated by asterisks (Student’s t-test, ***p<0.001).

The modulation of AKH and JH signaling pathways by the DA pathway contributes to enhanced fecundity of CLas+ female D. citri

To assess the potential regulatory impact of the DA signaling pathway on the AKH and JH signaling pathways, we examined the relative JH titers and the expression levels of key genes involved in these pathways in DcDop2-deficient CLas+ females. Following dsDcDop2 treatment, a significant decrease in the relative JH titer in the abdomen was observed after 48 h in CLas+ females compared to dsGFP control females (Figure 6A). Moreover, the expression levels of key genes in the AKH signaling (DcAKH and receptor gene DcAKHR) and JH signaling (receptor gene DcMet and the downstream transcription factor DcKr-h1) were notably reduced in the fat bodies and ovaries after 48 h of dsDcDop2 treatment (Figure 6B and C). Additionally, the expression levels of key downstream genes of the JH signaling pathway involved in ovarian development, such as DcVg1-like, DcVgA1-like, and DcVgR, were also lower in DcDop2-deficient CLas+ females following dsRNA feeding for 48 h, compared to controls (Figure 6B and C). Interestingly, JHA and AKH were able to partially rescue the defective phenotype arising from RNAi-mediated DcDop2 knockdown in CLas+ females (Figure 6D and E), which means JH and AKH function as the downstream of DA signaling. Similar trends were observed in CLas+ females treated with agomir-31a (Figure 6F–I). These findings suggest that the DA-DcDOP2-miR-31a signaling axis is a newly identified upstream regulator of the existing AKH and JH signaling pathways, thereby contributing to the increased fecundity observed in CLas+ D. citri females.

Figure 6. The modulation of the AKH and JH signaling pathways by the DA pathway enhances fecundity in CLas+ D. citri.

Figure 6.

(A) JH titer in the abdomen of CLas+ females treated with dsDcDop2 for 48 h. (B) Influence of dsDcDop2 treatment on mRNA levels of key genes in the AKH and JH signaling pathways in fat bodies of CLas+ females. (C) Impacts of dsDcDop2 treatment on mRNA levels of key genes in the AKH and JH signaling pathways in the ovaries of CLas+ females. (D, E) Rescue of the JH analogue and AKH on the fecundity and CLas titer phenotypes caused by the DcDop2 knockdown. (F) JH titers in the abdomens of Clas+ females after agomir-31a treatment for 48 h. (G) Effects of agomir-31a treatment on mRNA levels of key genes in the AKH and JH signaling pathways in fat bodies of CLas+ females. (H) Effects of agomir-31a treatment on mRNA levels of key genes in the AKH and JH signaling pathways in the ovaries of CLas+ females. (I, J) Rescue of the JH analogue and AKH on the fecundity and CLas titer phenotypes caused by the agomir-31a treatments. Results in (A–C), (E–H), and (J) are displayed as means ± SEM with three independent biological replicates, each with three technical replicates. Data in (D) and (I) are shown as means ± SEM with 30 independent biological replicates. For (D, E, I, J), significant differences among the different treatments are indicated by lowercase letters based on one-way ANOVA followed by Tukey’s Honest Significant Difference tests at p<0.05. Significant differences between treatments and controls are denoted by asterisks (Student’s t-test, ***p<0.001).

Discussion

Plant pathogens manipulate the fitness of their vector insects to facilitate their own propagation and dissemination (Eigenbrode et al., 2018). Systemic infection by CLas induces alterations in the growth, development, behavior, metabolism, and reproduction of D. citri (Nian et al., 2024; Killiny and Jones, 2018; Hu et al., 2021). The substantial increase in the fecundity of CLas+ D. citri females undoubtedly exacerbates the occurrence and spread of HLB. Therefore, investigating the molecular mechanisms through which CLas enhances the reproductive capacity of D. citri can offer insights into the underlying mechanisms driving the rapid field transmission and prevalence of the pathogen, thereby providing novel perspectives for enhancing effective suppression of HLB. Dopamine, a pivotal neurotransmitter, can interact with other endocrine regulators to modulate the development and reproductive behavior of insect reproductive systems (Xu et al., 2017). Metabolomic analysis and ELISA measurements both indicate that CLas infection significantly elevates DA levels in D. citri females (Figure 1A and B). In various insects, DA levels have been closely linked to microbial infections. For example, bacterial and fungal infections have been shown to notably increase dopamine levels in the hemolymph of Leptinotarsa decemlineata (Say) (Coleoptera: Chrysomelidae) and Galleria mellonella (L.) (Lepidoptera: Pyralidae) (Chertkova et al., 2018). In Bombyx mori (L.) (Lepidoptera: Bombycidae), nucleopolyhedrovirus infection markedly boosts DA levels to enhance locomotor activity (Li et al., 2021). Therefore, further research is warranted to elucidate the role of DA in regulating the fecundity enhancement of D. citri induced by CLas infection.

In the DA biosynthesis pathway, tyrosine acts as the substrate for the production of an intermediate molecule, L-DOPA, which is then further converted to DA through the action of dopa decarboxylase (Siju et al., 2021). The synaptic release of DA is regulated by the vesicular amine transporter (VAT), which activates the DA receptor to initiate downstream signal transduction (Budnik and White, 1987). qRT-PCR analysis revealed a significant upregulation of four key genes (DcHenna1, DcTh, DcDdc, and DcVat1) involved in DA biosynthesis and release in D. citri females following CLas infection (Figure 1D). Subsequent knockdown of these four key genes resulted in a notable decrease in energy reserves, including TAG contents, glycogen abundance, and lipid droplets, along with reduced fecundity and CLas levels (Figure 2). These findings provide initial evidence that CLas manipulates DA biosynthesis to modulate its role in the enhanced fecundity of D. citri and proliferation of CLas within the psyllid. In Solenopsis invicta Buren (Hymenoptera: Formicidae), isolated, virgin females fed with a tyrosine hydroxylase inhibitor mixed in sucrose for 15 days showed significantly reduced egg laying and fewer chorionated oocytes in their ovarioles compared to females fed with sucrose alone. Restoring DA biosynthesis by supplementing the diet with L-DOPA reversed the effects on oogenesis and oviposition (Boulay et al., 2001). Furthermore, treatment with dsRNA or inhibitors targeting DcDop2 expression inhibited DA signaling, resulting in similar phenotypic outcomes: decreased energy reserves, reduced fecundity, and CLas levels (Figure 3). In addition to DA receptors being implicated in behavioral phase transitions, conspecific olfactory attraction, and mating-related behaviors (Ma et al., 2011; Morigami and Sasaki, 2024; Guo et al., 2018), our results provide the first evidence for DcDop2 involvement in the interaction between CLas proliferation and ovary development of D. citri.

In recent years, there has been growing research on miRNA regulation of the insect DA signaling pathway. For instance, miRNA-133 targets two key genes, henna and pale, in the pathway, downregulating their expression thereby inhibiting DA synthesis and inducing the transition of L. migratoria from gregarious to solitary behavior (Yang et al., 2014). The miRNA, let-7, enhances honey bee sensitivity to sucrose by targeting the DA receptor AmDop2 (Liu et al., 2023). Our previous studies have demonstrated that miR-275 targets DcVgR and miR-34 targets DcAKHR, contributing to the enhanced fecundity in female D. citri induced by CLas (Nian et al., 2024; Li et al., 2024); this study has investigated whether DcDop2 is post-transcriptionally regulated by miRNA and whether it is involved in the interaction between D. citri and CLas. Based on in vivo and in vitro experiments, we have demonstrated that miR-31a specifically binds to the 3'-UTR of DcDop2, negatively regulating its expression (Figure 4). The expression of miR-31a was significantly reduced in female D. citri 5 and 9 DAE following CLas infection. Subsequent agomir-31a treatments resulted in a significant decrease in energy reserves, including TAG contents, glycogen levels, and lipid droplets, as well as reduced fecundity and CLas abundance; this mirrors the phenotypic effects of DcDop2 interference (Figure 5). Therefore, we suggest that miR-31a negatively regulates DcDop2 expression to modulate the fecundity enhancement of CLas-infected D. citri females and CLas proliferation. Further elucidation is needed on the regulatory interplay between miR-31a and other reported miRNAs.

In insects, the endocrine system plays a crucial role in coordinating the mechanisms governing energy metabolism and ensuring successful reproduction (Leyria, 2024). Individual neuroendocrine hormones not only regulate their specific target tissues but also engage in vital interactions among themselves, ensuring the successful progression of vitellogenesis and oogenesis. JH synthesis is stimulated by DA through the activation of the DA D1-like receptor in D. melanogaster (Rauschenbach et al., 2011). Following DcDop2 knockdown or agomir-31a treatment, the JH levels in CLas-infected female D. citri were significantly reduced compared to the controls, indicating an influence of DcDop2 on JH titers. Furthermore, qRT-PCR revealed a notable decrease in the mRNA expression of the JH receptor (DcMet), the key downstream gene, DcKr-h1, and three reproductive-related genes (DcVg1-like, DcVgA1-like, and DcVgR) following DcDop2 knockdown or agomir-31a treatment, as compared to the controls (Figure 6). In D. melanogaster, DA influences AKH secretion, and knockdown of the DA receptor in AKH cells results in starvation phenotypes (Braco et al., 2022). In our study, following DcDop2 knockdown or agomir-31a treatment, the expression of DcAKH and DcAKHR exhibited a significant decrease compared to the controls (Figure 6). These findings suggest that DA signaling acts upstream of AKH and JH in the regulation of fecundity enhancement in CLas+ D. citri and CLas proliferation.

In summary, this study has revealed a new role of DA and its receptor in modulating the interaction between CLas and D. citri, extending beyond their known functions in development and behavioral transitions. As depicted in the conceptual model in Figure 7, CLas infection initially triggers the upregulation of DA biosynthesis genes, leading to increased DA levels. Subsequently, DA activates its receptor DcDop2, acting as an upstream regulator of AKH/JH signaling, governing energy metabolism and reproductive development. To maintain the appropriate level of DcDop2 gene expression, miR-31a exerts negative regulation by targeting the 3’-UTR. Ultimately, CLas infection enhances the host’s reproductive capacity and promotes its own proliferation and dissemination, thereby achieving a win-win situation for both. Future investigations will address the following questions: (1) How does CLas manipulate the hormonal signals of citrus to enhance nutritional resources for D. citri, thus promoting psyllid fecundity and its own proliferation? (2) How do plant-derived cross-border miRNAs participate in regulating the interaction between CLas proliferation and development of D. citri?

Figure 7. Diagram illustrating the involvement of DA and its receptor, DcDop2, in the coevolution between CLas and D. citri.

Figure 7.

CLas infection initially triggers the upregulation of DA biosynthesis genes, leading to increased dopamine levels. Subsequently, DA activates its receptor DcDop2, acting as an upstream regulator of AKH/JH signaling, governing energy metabolism and reproductive development. In order to maintain the appropriate level of DcDop2 expression, miR-31a exerts negative regulation by targeting the 3’-UTR. Ultimately, CLas infection enhances the host’s energy metabolism, thereby boosting the host’s reproductive capacity and promoting its own proliferation and dissemination, achieving a win-win situation for both.

Materials and methods

Host plants and insect populations

The D. citri colonies, both CLas-negative (healthy, CLas-) and CLas-positive (CLas+), were obtained from laboratory cultures maintained continuously on healthy lemon (Citrus × limon (L.) Osbeck) plants and CLas-infected lemon plants, respectively. Monthly monitoring of CLas infection in both the lemon plants and psyllids was conducted using quantitative polymerase chain reaction (qPCR) by the primers of CLas 16S ribosomal RNA gene (GenBank: L22532.1). The two populations were reared in separate incubators under similar conditions (temperature of 26±1℃, relative humidity of 65 ± 5%, and a light:dark cycle of 14:10). CLas-negative and CLas-positive lemon plants were cultivated in different glasshouses.

Targeted metabolomic analysis

To assess the neurotransmitter contents in CLas+ D. citri, targeted metabolomic analyses were performed at Novogene Bioinformatics Technology Co. Ltd, (Beijing, China). In brief, a total of six samples, comprising three replicates each of CLas- or CLas+ females at 7–9 DAE, were prepared. The samples were firstly resuspended with liquid nitrogen and then diluted in water by vortexing. Subsequently, an ultra-high performance liquid chromatography coupled with tandem mass spectrometry (UHPLC-MS/MS) system (ExionLC AD UHPLC-QTRAP 6500+, AB SCIEX Corp., Boston, MA, USA) was used to quantify 23 targeted neurotransmitters. The mass spectrometer operated in negative multiple reaction mode (MRM) mode, with specific parameters set as follows: ionspray voltage (–4500 v), curtain gas (35 psi), ion source temp (550℃), and ion source gas of 1 and 2 (60 psi). Differential metabolite screening was primarily based on fold change and p-value criteria, with the threshold set to FC >1.1 or FC <0.909 and p<0.05 for identifying significant metabolites.

Phylogenetic analyses

The physicochemical properties of DcDop1 (GenBank accession number: XM_017446452.2), DcDop2 (GenBank accession number: XM_026822145.1), and DcDop3 (GenBank accession number: XM_008472271.3) were analyzed using the ProtParam tool available online (http://web.expasy.org/protparam/). Amino acid sequences of other insect species were retrieved and downloaded from the NCBI database. Phylogenetic trees were constructed using the neighbor-joining method in MEGA5.10 software, with 1000 bootstrap replicates. Bootstrap values exceeding 50% were displayed on the tree.

Quantitative RT-PCR (qRT-PCR) for mRNA and miRNA

To analyze mRNA expression, total RNA was extracted using TRIzol reagent (Invitrogen, Carlsbad, CA, USA). First-strand cDNA synthesis was carried out with the PrimeScript II 1st Strand cDNA Synthesis Kit (Takara, Beijing, China) following the manufacturer’s instructions. qRT-PCR was performed 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 the internal control for normalizing gene expression levels. For miRNA expression analysis, miRNA was extracted, synthesized, and quantified using the miRcute miRNA Isolation Kit, the miRcute Plus miRNA First-Strand cDNA Kit, and the miRcute Plus miRNA qPCR Kit (SYBR Green), all obtained from TIANGEN (Beijing, China). U6 snRNA was employed as an internal control to standardize miRNA expression levels. Detailed primer information is provided in Supplementary file 1. Three technical replicates for each sample were performed on the same plate. Each experiment was repeated three times. The reaction with RNase-free water as the template was designed as the negative control.

Measurement of TAG levels

To determine TAG levels, a Triglycerides Colorimetric Assay (Cayman) was employed following the manufacturer’s instructions. In brief, 30 fat bodies were homogenized in 100 μL of Diluent Assay Reagent. Subsequently, 10 μL of the supernatant was incubated with Enzyme Mixture solution, and the resulting TAG contents were standardized to the protein levels in the supernatant, measured using a BCA protein assay (Thermo Fisher Scientific). Each treatment underwent analysis with three independent biological replicates, each consisting of three technical replicates.

Measurement of glycogen levels

Glycogen levels were determined using a Glycogen Assay Kit (Cayman) according to the manufacturer’s instructions. Thirty fat bodies were homogenized in 100 μL of Diluent Assay Reagent, and 10 μL of the supernatant was then incubated with Enzyme Mixture solution and Developer Mixture. The measured glycogen levels were normalized to the protein levels in the supernatant and quantified using a BCA protein assay (Thermo Fisher Scientific). Each treatment was assessed with three independent biological replicates, each comprising three technical replicates.

Nile red staining

Dissected fat bodies were fixed in 4% paraformaldehyde for 30 min at 25°C, followed by two washes with 1×PBS. Lipid droplets were incubated for 30 min in a mixture of Nile red (0.1 μg/μL, Beijing Coolaber Technology Co., Ltd) and DAPI (0.05 μg/μL), then washed twice with 1×PBS. Imaging of the samples was performed using laser scanning microscopy (TCS-SP8, Leica Microsystems Exton, PA, USA). Each experiment was repeated three times.

Assessment of reproductive parameters

Treated females from the two colonies were paired with healthy males for testing. A single female and male were placed onto young vegetative shoots (flush) of healthy lemon plants to induce oviposition. The flush and insects were enclosed in tied, white, mesh bags (150×200 mm). These lemon plants were kept in an incubator under conditions of 25 ± 1°C, 65±5% RH, 14L:10D photoperiod. After 24 h, the preoviposition period and oviposition period were recorded, the number of eggs laid per female was counted, and the psyllid pair was transferred to new flushes for continued egg laying. Egg counts were conducted daily until all females perished. All experiments were replicated three times, with approximately 15 pairs of D. citri used for each replication.

Double-stranded RNA synthesis and RNAi experiments

Double-stranded RNAs (dsRNA) targeting DcHenna1, DcTh, DcDdc, DcVat1, and DcDop2 were synthesized as the kit’s instructions using sequence-specific primers (Supplementary file 1). The dsRNA was synthesized by using a Transcript Aid T7 High Yield kit (Thermo Scientific, Wilmington, DE, USA) and purified with the GeneJET RNA Purification kit (Thermo Scientific). RNAi treatments were administered by feeding dsRNA via an artificial diet, following established protocols (Nian et al., 2024). Briefly, a glass cylinder (25×75 mm) was used as the feeding chamber. Fifteen females at 7 DAE (for dsRNA and miRNA agomir) from CLas-negative and CLas-positive D. citri were fed with an artificial diet (200 μL) placed between two layers of stretched parafilm. The artificial diet consisted of 20% (w: v) sucrose mixed with dsRNA (250 ng/μL) or miRNA antagomir/agomir (7.5 μM). The ovary samples were collected at 48 h following dsRNA/miRNA antagomir/agomir feeding for qRT-PCR and western blot analysis to confirm the interference efficiency. For the validation assays of miRNA/genes involvement in reproductive regulation after feeding with dsRNA/miRNA agomir for 48 h, the treated females are divided and used for three assays. The first assay was conducted to investigate the reproductive parameters (the pre-oviposition period, the oviposition period, and fecundity) following the above methods. The second assay was carried out to detect CLas titer in the ovary. The third assay was performed to observe the ovary morphology. Feeding dsGFP was used as the control when psyllids were fed with dsRNA. Antagomir/agomir negative control was used as the control when psyllids were fed with miR-31a antagomir/agomir. All the experiments were performed across three separate time replicates, with 20 pairs of D. citri for each. Photographs of ovaries were captured by an Ultra-Depth Three-Dimensional Microscope (VHX-500). Fat bodies were stained with Nile red, TAG levels, and glycogen levels in the fat bodies were evaluated. For the rescue experiments, the females were first fed with dsDcDop2 for 48 h, then the relative neuropeptide hormone (DA, JHA, or AKH) was treated. The corresponding parameters were analyzed based on the above methods.

Luciferase activity assay

To investigate the regulatory effects of miR-31a, miR-275, and novel-miR-15 on the 3’-UTR of DcDop2, a 147 bp sequence surrounding the predicted target sites was cloned into the pmirGLO vector (Promega, Wisconsin, USA) to generate the DcDop2-3’UTR-pmirGLO plasmid, utilizing the pEASY-Basic Seamless Cloning and Assembly Kit. A mutated version, DcDop2-3’UTR mutant-pmirGLO plasmid, was also created. Following standard protocols, 500 ng of the constructed vectors (DcDop2-3’UTR-pmirGLO plasmid or DcDop2-3’UTR mutant-pmirGLO plasmid) and 275 nM of miRNA agomir/agomir-NC were co-transfected into HEK293T cells using a Calcium Phosphate Cell Transfection Kit (Beyotime, Nanjing, China). After 24 h of co-transfection, the activities of firefly and Renilla luciferase were measured using the Dual-Glo Luciferase Assay System (Promega, Madison, WI, USA) with a plate reader.

Fluorescence in situ hybridization (FISH)

For FISH analysis using a CLas probe, ovaries were fixed in Carnoy’s fixative (glacial acetic acid-ethanol-chloroform, 1: 3: 6, vol/vol/vol) for 12 h at 25℃. The fixed tissues underwent several washes and pre-incubation steps before hybridization with the probe. Subsequently, the samples were stained with DAPI and mounted for visualization using a Leica TCS-SP8 confocal microscope. Excitation lasers at specific wavelengths were used to detect different signals, and image processing was conducted with Leica LAS-AF software. Control experiments without the probe and CLas-negative controls were included for specificity verification. Three FISH tests were performed, with a minimum of 15 ovaries examined in each test for consistency. The probe sequences are detailed in Supplementary file 1.

Determination of JH titers and dopamine levels

JH titers were quantified using the Insect JH ELISA kit (ml077240; Shanghai Enzyme-linked Biotechnology Co., Ltd. Shanghai, China) according to the manufacturer’s protocol (Nian et al., 2024). Briefly, 50 µL of the homogenized tissue sample was added to each well. Subsequently, 100 µL of HRP-conjugated detection antibody was added. After a series of standard incubation, washing, and stop procedures, the OD value of each well at 450 nm was measured by a Molecular Devices i3x microplate reader. Dopamine levels were assessed with a DA ELISA kit (ml077133; Shanghai Enzyme-linked Biotechnology Co., Ltd.). Tissue samples were homogenized, and the supernatants were incubated with the respective antibodies. Dopamine contents were normalized to standard sample OD values determined by a Molecular Devices i3x microplate reader. Each treatment was analyzed with three independent biological replicates, each including three technical replicates.

Western blotting

CLas-positive females at 7 DAE, treated with dsDcDop2 and miR-31a agomir for 48 h during ovarian development, were collected as described above. Total proteins were extracted from the dissected ovaries of the psyllids using RIPA protein lysis buffer (50 mM Tris pH 7.4, 150 mM NaCl, 1% Triton X-100, 1% sodium deoxycholate, and 0.1% SDS) supplemented with 1 mM PMSF. The lysates were then cleared by centrifugation at 4 °C for 20 min. Extracted proteins were quantified using a BCA protein assay kit (Beyotime, Jiangsu, China). Equal amounts of protein (50 μg) were separated by 12% SDS-PAGE and subsequently transferred to polyvinylidene fluoride membranes (Millipore). The membranes were blocked with 5% nonfat powdered milk to reduce non-specific binding and incubated overnight at 4°C with the primary antibody (DcDop2; 1: 1000 dilution, ABclonal Technology Co., Ltd., Wuhan, China). Afterward, the membranes were incubated for 2 h at 25°C with the secondary antibody (goat anti-rabbit IgG conjugated with HRP, 1: 10,000 dilution). A mouse monoclonal antibody against β-actin (TransGen Biotech, Beijing, China) was used as a control. Immunoreactivity was visualized using enhanced chemiluminescence with the Azure C600 multifunctional molecular imaging system (USA). Each experiment was repeated two times.

RNA immunoprecipitation (RIP)

A RIP experiment was conducted using a Magna RIP kit (Millipore, Billerica, MA, USA) according to the manufacturer’s instructions. Females at 7 DAE were fed with a miR-31a agomir for 12 h and then subjected to RIP analysis 10 h later. The ovaries were dissected and homogenized in ice-cold RIP lysis buffer. The homogenates were stored at –80°C overnight. A total of 5 μg of Ago-1 antibody or normal mouse lgG (Millipore), which served as a negative control, was pre-incubated with magnetic beads. The frozen homogenates in the RIP lysates were thawed and centrifuged, and the supernatants were incubated with the magnetic bead-antibody complex at 4°C overnight. 1/10 of the lysate was reserved as an ‘input’ sample. The immunoprecipitated RNAs were reverse transcribed into cDNA using random hexamers, and qRT-PCR was performed to quantify miR-31a and DcDop2. The ‘input’ samples and lgG controls were analyzed to normalize the relative expression levels of the target gene. Each experiment was repeated three times.

Heterologous expression and calcium mobilization assay

The full ORF of DcDop2 was successfully cloned into the expression vector, pcDNA3.1, and the correctness of the cloning was verified through sequencing performed by TSINGKE Bio. Endotoxin-free plasmid DNA was extracted from the vector, and dopamine was procured from MedChemExpress (HY-B0451A). Chinese hamster ovary (CHO-WTA11) cells engineered with Gα16 subunit and aequorin were utilized for the experiments. These cells were transfected with either pcDNA3.1-DcDop2 or empty pcDNA3.1 vector (negative control) using Lipofectamine 2000 (Thermo Fisher Scientific, Waltham, MA, USA). Calcium mobilization assays were conducted with minor adjustments following a previously outlined protocol (Zhang et al., 2023). Briefly, 48 h post-transfection, the cells were incubated in the dark with coelenterazine h (Promega) for 3 h. Subsequently, various concentrations of dopamine (10−7, 10−6, 10−5, 10−4, 10−3, 10−2, 10–1, and 1 mM) were added to opaque 96-well plates. Luminescence was measured for 15 s using a SpectraMax i3x Multi Mode Microplate Reader (Molecular Devices). Each experiment was repeated three times.

Statistical analysis

Statistical analyses were conducted using GraphPad Prism 8.0 software. All data are presented as means ± standard errors of mean (SEM). Pairwise comparisons were assessed using Student’s t-tests, with significance levels denoted as follows: *p<0.05, **p<0.01, ***p<0.001. For multiple comparisons, one-way ANOVA coupled with Tukey’s Honest Significant Difference tests was employed to determine significant differences at p<0.05.

Acknowledgements

This research was supported by the National Natural Science Foundation of China (32572827), Guangdong Academy of Agricultural Sciences Special Fund for Talent Recruitment in Science and Technology (R2025YJ-QG002), and the Open Competition Program of Ten Major Directions of Agricultural Science and Technology Innovation for the 14th Five-Year Plan of Guangdong Province (2022SDZG07).

Funding Statement

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

Contributor Information

Songdou Zhang, Email: zhangsongdou1128@126.com.

Kirsten Pelz-Stelinski, University of Florida, United States.

Albert Cardona, University of Cambridge, United Kingdom.

Funding Information

This paper was supported by the following grants:

  • National Natural Science Foundation of China 32572827 to 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 to Yurong He.

  • Guangdong Academy of Agricultural Sciences Special Fund for Talent Recruitment in Science and Technology R2025YJ-QG002 to Songdou Zhang.

Additional information

Competing interests

No competing interests declared.

Author contributions

Conceptualization, Funding acquisition, Validation, Investigation, Writing – original draft, Project administration, Writing – review and editing.

Data curation, Validation, Investigation.

Formal analysis, Methodology.

Formal analysis, Methodology.

Methodology, Writing – original draft.

Methodology, Writing – original draft.

Formal analysis, Methodology.

Formal analysis, Methodology.

Funding acquisition, Methodology.

Conceptualization, Software, Supervision, Validation, Investigation, Methodology, Writing – original draft, Project administration, Writing – review and editing.

Additional files

Supplementary file 1. The primers used in this study.
elife-109081-supp1.docx (29.2KB, docx)
MDAR checklist

Data availability

All data are available in the manuscript or the supplementary materials.

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eLife Assessment

Kirsten Pelz-Stelinski 1

Insects can act as vectors of plant diseases; hence, the study of insect–pathogen interactions is relevant for agriculture. This important study identifies in Diaphorina citri a dopamine receptor responsive to ‘Candidatus Liberibacter asiaticus’ infection, demonstrates direct regulation of this receptor by a microRNA, and integrates dopamine signaling into an established insect reproductive hormone framework. Multiple complementary experimental approaches convincingly support the findings, although key conclusions rely on correlative data and the mechanistic evidence for the proposed linear signaling cascade is limited. This work will be of interest for insect physiology and vector–pathogen biology, and more broadly for citrus agriculture.

Reviewer #1 (Public review):

Anonymous

I read this paper with great interest based on my experience in insect sciences. Previous concerns:

(1) The paper has an original biological question that is overly broad and mechanistically ambitious. The central biological question, namely how CLas infection enhances fecundity of Diaphorina citri via dopamine signaling, is clearly stated and well motivated by previous literature. However, my advice to the authors is that, while the general question is clear, the manuscript attempts to answer multiple mechanistic layers simultaneously. As a result, I feel that the biological narrative becomes diffuse, especially in later sections where DA, miRNA regulation, AKH signaling, and JH signaling are all proposed as parts of a single linear cascade. In summary, my key concern is that the paper often moves from correlation to causal hierarchy without fully disentangling whether these pathways act sequentially, in parallel, or redundantly. A more explicitly framed primary hypothesis (e.g., "DA-DcDop2 is necessary and sufficient for CLas-induced fecundity") may improve conceptual clarity.

(2) On the novelty of the data, I feel they are moderately novel, with substantial confirmatory components. If I am correct, the novel contributions include the identification of DcDop2 as the DA receptor responsive to CLas infection in D. citri, the discovery that miR-31a directly targets DcDop2, which is supported by luciferase assays and RIP, and thirdly, the integration of dopamine signaling into the already-described CLas-AKH-JH-fecundity framework. My advice to the authors is to focus more on the manuscript's novelty, which lies more in pathway integration than in discovering fundamentally new biological phenomena. This is appropriate for a mechanistic paper, but should be framed as an extension of existing models rather than a paradigm shift.

(3) On the conclusions, I recommend that the authors modify their statements a little. I feel that there are some overstated or insufficiently supported claims. For instance, the assertion that CLas "hijacks" the DA-DcDop2-miR-31a-AKH-JH cascade implies direct pathogen manipulation, but no CLas-derived effector or mechanism is identified. Also, that the model suggests a linear signaling hierarchy, but the data largely show correlation and partial dependency rather than strict epistasis. In third, the term "mutualistic interaction" may be too strong, as host fitness costs outside fecundity (e.g., longevity, immunity) are not evaluated. In conclusion, I confirm that the data support a functional association, but mechanistic causality and evolutionary interpretation are somewhat overstated.

Comments on revised version:

The authors provided a satisfactory revision.

Reviewer #2 (Public review):

Anonymous

Summary:

Nian and colleagues comprehensively apply metabolomics, molecular, and genetic approaches to demonstrate that CLas hijacks the DA/DcDop2-miR-31a-AKH-JH signaling cascade to enhance lipid metabolism and fecundity in D. citri, while concurrently promoting its own replication.

Strengths:

These findings provide solid evidence of a mutualistic interaction between CLas proliferation and ovarian development in the insect host. This insight significantly advances our understanding of the molecular interplay between plant pathogens and vector insects and offers novel targets and strategies for HLB field management.

Weaknesses:

While the article investigates the involvement of dopamine signaling and specific microRNAs in enhancing fecundity and pathogen proliferation, it still needs to provide a detailed mechanistic understanding of these interactions. The precise molecular pathways and feedback mechanisms by which CLas manipulates dopamine signaling in Diaphorina citri remain unclear.

eLife. 2026 Jun 22;15:RP109081. doi: 10.7554/eLife.109081.3.sa3

Author response

Xiaoge Nian 1, Jiayun Li 2, Jilei Huang 3, Weiwei Yuan 4, Paul Holford 5, George Andrew Charles Beattie 6, Jielan He 7, Yijing Cen 8, Yurong He 9, Songdou Zhang 10

The following is the authors’ response to the original reviews.

Public Reviews:

Reviewer #1 (Public review):

I read this paper with great interest based on my experience in insect sciences. I have some minor comments (and recommendations) that I believe the authors should address.

(1) The paper has an original biological question that is overly broad and mechanistically ambitious. The central biological question, namely how CLas infection enhances fecundity of Diaphorina citri via dopamine signaling, is clearly stated and well motivated by previous literature. However, my advice to the authors is that, while the general question is clear, the manuscript attempts to answer multiple mechanistic layers simultaneously. As a result, I feel that the biological narrative becomes diffuse, especially in later sections where DA, miRNA regulation, AKH signaling, and JH signaling are all proposed as parts of a single linear cascade. In summary, my key concern is that the paper often moves from correlation to causal hierarchy without fully disentangling whether these pathways act sequentially, in parallel, or redundantly. A more explicitly framed primary hypothesis (e.g., "DA-DcDop2 is necessary and sufficient for CLas-induced fecundity") may improve conceptual clarity.

We sincerely thank the reviewer for these constructive comments and agreed that the initial version of our manuscript attempted to integrate multiple signaling layers, which may have blurred the logical distinction between sequential, parallel, or redundant pathways. To address this concern, we have restructured the narrative to center on a clearly defined hypothesis by changing “DA/DcDop2-miR-31a-AKH-JH signaling cascade” to “DA-DcDop2 signaling axis” in Abstract (Line 33) of the revised manuscript.

(2) On the novelty of the data, I feel they are moderately novel, with substantial confirmatory components. If I am correct, the novel contributions include the identification of DcDop2 as the DA receptor responsive to CLas infection in D. citri, the discovery that miR-31a directly targets DcDop2, which is supported by luciferase assays and RIP, and thirdly, the integration of dopamine signaling into the already-described CLas-AKH-JH-fecundity framework. My advice to the authors is to focus more on the manuscript's novelty, which lies more in pathway integration than in discovering fundamentally new biological phenomena. This is appropriate for a mechanistic paper, but should be framed as an extension of existing models rather than a paradigm shift.

We sincerely thank the reviewer for this thoughtful and highly constructive assessment. We greatly appreciate the clear articulation of what constitutes the novel contributions of our work, and we fully agree with the characterization that the primary novelty lies in pathway integration rather than the discovery of entirely unprecedented biological phenomena. We also accept the valuable advice that our manuscript should be framed as an extension of existing models rather than a paradigm shift. In response to this insightful comment, we have carefully revised the Results part in Line 275-278 of the revised manuscript.

(3) On the conclusions, I recommend that the authors modify their statements a little. I feel that there are some overstated or insufficiently supported claims. For instance, the assertion that CLas "hijacks" the DA-DcDop2-miR-31a-AKH-JH cascade implies direct pathogen manipulation, but no CLas-derived effector or mechanism is identified. Also, that the model suggests a linear signaling hierarchy, but the data largely show correlation and partial dependency rather than strict epistasis. In third, the term "mutualistic interaction" may be too strong, as host fitness costs outside fecundity (e.g., longevity, immunity) are not evaluated. In conclusion, I confirm that the data support a functional association, but mechanistic causality and evolutionary interpretation are somewhat overstated.

We sincerely thank the reviewer for these insightful comments and agreed that there are some overstated or insufficiently supported claims. In response to this insightful comment, we have changed "hijacks" to "regulates" (Line 32 and 124), and "mutualistic interaction" to “coevolution” (Line 2, 34, 127, 257, 763, 806, and 842) in our revised manuscript.

Reviewer #2 (Public review):

Summary:

Nian and colleagues comprehensively apply metabolomics, molecular, and genetic approaches to demonstrate that CLas hijacks the DA/DcDop2-miR-31a-AKH-JH signaling cascade to enhance lipid metabolism and fecundity in D. citri, while concurrently promoting its own replication.

Strengths:

These findings provide solid evidence of a mutualistic interaction between CLas proliferation and ovarian development in the insect host. This insight significantly advances our understanding of the molecular interplay between plant pathogens and vector insects, and offers novel targets and strategies for HLB field management.

Weaknesses:

While the article investigates the involvement of dopamine signaling and specific microRNAs in enhancing fecundity and pathogen proliferation, it still needs to provide a detailed mechanistic understanding of these interactions. The precise molecular pathways and feedback mechanisms by which CLas manipulates dopamine signaling in Diaphorina citri remain unclear.

These comments are extremely helpful for revising and improving our manuscript.

Recommendations for the authors:

Reviewer #2 (Recommendations for the authors):

(1) In Figures 1C and 1D, please maintain consistent gene nomenclature: change "henna" to "Henna", "TH" to "Th", and "DDC" to "Ddc".

Thanks for your great suggestion. We have changed "henna" to "Henna", "TH" to "Th", and "DDC" to "Ddc" in Figure 1C and 1D of our revised manuscript.

(2) In Figure 7, correct "Emergy metabolism" to "Energy metabolism".

Thanks for your valuable suggestion. We have corrected "Emergy metabolism" to "Energy metabolism" in Figure 7 of our revised manuscript.

(3) Please specify the number of biological replicates in the figure captions.

Thanks for your perfect suggestion. We have specified the number of biological replicates in the figure captions of Figure 1 (Line 737-738), Figure 2 (Line 757-759), Figure 3 (Line 780-782), Figure 4 (Line 799-800), Figure 5 (Line 816-819), and Figure 6 (Line 833-836).

(4) For Figure 2I, 3J, and 5H, clarify that CLas 16s rRNA was detected by FISH. The age of the dissected females should also be described in the captions.

Thanks for your insightful suggestion. We have added the female age (at 7 DAE) in the captions for Figure 2I (Line 752), 3J (Line 773), and 5H (Line 813) of our revised manuscript.

(5) A blot is shown in Figure 3B but not discussed in the text. Since the manuscript describes mRNA levels, please specify whether these blots are from Northern or Western blotting and provide relevant methodological details.

Thanks for your great suggestion. The blot in Figure 3B is Western blot result. We have added the related descriptions in Result (Line 202), Materials and Methods (Line 521-536), and figure legend (Line 766) of our revised manuscript.

(6) In Figure 3G-3K, an "inhibitor" was used, but its name and functional role are not described. Please give more details.

Thanks for your valuable suggestion. We have added the detail information for “Dop2 inhibitor” in the Figure 3G-3K legend (Line 772-776) of our revised manuscript.

(7) In Lines 23-24 of the Abstract, consider revising "their neuroendocrine regulation remains unclear" to "their neuroendocrine regulation mechanisms remain unclear" for grammatical accuracy.

Thanks for your perfect suggestion. We have revised "their neuroendocrine regulation remains unclear" to "their neuroendocrine regulation mechanisms remain unclear" for grammatical accuracy in Line 24 of our revised manuscript.

(8) The last sentence of the Abstract is overly long. It is recommended to split it as follows: "These findings reveal a mutualistic interaction between CLas proliferation and ovarian development in the insect host. This discovery enhances our understanding of the molecular interplay between plant pathogens and vector insects and offers novel targets and strategies for HLB field management."

Thanks for your excellent suggestion. We have splited the last sentence of the Abstract as follows: "These findings reveal a coevolution between CLas proliferation and ovarian development in the insect host. This discovery enhances our understanding of the molecular interplay between plant pathogens and vector insects and offers novel targets and strategies for HLB field management." in Line 34-37 of our revised manuscript.

(9) In Line 139, remove the comma between "female" and "adult".

Thanks for your great suggestion. We have removed the comma between "female" and "adult" in Line 139 of our revised manuscript.

(10) In Line 149, replace "d" with day.

Thanks for your perfect suggestion. We have replaced "d" with "day" in Line 149 of our revised manuscript.

(11) The JH determination method references a previous study but lacks a detailed description of the extraction procedure. Please include this information in the methodology section.

Thanks for your valuable suggestion. We have added the detailed description of the JH extraction procedure in Line 511-514 of our revised manuscript.

(12) In Figure S2, since the panel shows interference efficiencies for four genes, "treated with dsDcAKHR" should be revised to "treated with dsRNA" for accuracy.

Thanks for your insightful suggestion. We have revised "treated with dsDcAKHR" to "treated with dsRNA" for accuracy in the Figure S2 legend.

(13) In line 354-355, change "DcVg1-like, DcVgA1-like and DcVgR" to "DcVg1-like, DcVgA1-like, and DcVgR".

Thanks for your great suggestion. We have changed "DcVg1-like, DcVgA1-like and DcVgR" to "DcVg1-like, DcVgA1-like, and DcVgR" in Line 350 of our revised manuscript.

(14) The study primarily investigates the role of agomir-31a. Would antagomir-31a promote ovarian development in CLas- females? In addition, did the authors perform a rescue experiment using antagomir-31a in CLas+ females after dsDcDop2 treatment?

Thanks for your valuable suggestion. The proposed experiments will be instrumental in further elucidating the functional role of miR-31a and represent a key direction for our future research. We will carefully consider and incorporate these approaches in our subsequent study.

(15) The method used to determine CLas-negative and CLas-positive individuals should be described in more detail in the Materials and Methods section.

Thanks for your great suggestion. We have added more details about CLas detection in the Materials and Methods section (Line 378) of our revised manuscript.

Associated Data

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

    Supplementary Materials

    Figure 3—source data 1. Original file for the western blot analysis in Figure 3B (anti-DcDop2).
    Figure 3—source data 2. Original file for the western blot analysis in Figure 3B (anti-β-ACT).
    Figure 4—source data 1. Original file for the western blot analysis in Figure 4G (anti-DcDop2).
    Figure 4—source data 2. Original file for the western blot analysis in Figure 4G (anti-β-ACT).
    Supplementary file 1. The primers used in this study.
    elife-109081-supp1.docx (29.2KB, docx)
    MDAR checklist

    Data Availability Statement

    All data are available in the manuscript or the supplementary materials.


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