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. 2016 Jun 25;9:173–180. doi: 10.1016/j.mgene.2016.06.005

Vitellogenin knockdown strongly affects cotton boll weevil egg viability but not the number of eggs laid by females

Roberta R Coelho a,b, José Dijair Antonino de Souza Júnior b, Alexandre AP Firmino b,c, Leonardo LP de Macedo b,d, Fernando CA Fonseca a,b, Walter R Terra e, Gilbert Engler b,f, Janice de Almeida Engler b,f, Maria Cristina M da Silva b, Maria Fatima Grossi-de-Sa b,d,
PMCID: PMC4936639  PMID: 27419079

Abstract

Vitellogenin (Vg), a yolk protein precursor, is the primary egg nutrient source involved in insect reproduction and embryo development. The Cotton Boll weevil (CBW) Anthonomus grandis Boheman, the most important cotton pest in Americas, accumulates large amounts of Vg during reproduction. However, the precise role of this protein during embryo development in this insect remains unknown. Herein, we investigated the effects of vitellogenin (AgraVg) knockdown on the egg-laying and egg viability in A. grandis females, and also characterized morphologically the unviable eggs. AgraVg transcripts were found during all developmental stages of A. grandis, with highest abundance in females. Silencing of AgraVg culminated in a significant reduction in transcript amount, around 90%. Despite this transcriptional reduction, egg-laying was not affected in dsRNA-treated females but almost 100% of the eggs lost their viability. Eggs from dsRNA-treated females showed aberrant embryos phenotype suggesting interference at different stages of embryonic development. Unlike for other insects, the AgraVg knockdown did not affect the egg-laying ability of A. grandis, but hampered A. grandis reproduction by perturbing embryo development. We concluded that the Vg protein is essential for A. grandis reproduction and a good candidate to bio-engineer the resistance against this devastating cotton pest.

Keywords: Anthonomus grandis, Insect reproduction, Embryo morphology, RNAi

1. Introduction

Cotton boll weevil (CBW), Anthonomus grandis Boheman (Coleoptera: Curculionidae), is one of the most harmful cotton pests in the Americas and object of major control efforts. This coleopteran has an endophytic larval phase that lives and feed inside cotton bolls or flower buds. The adult doesn't cause damage to cotton crops, however each female is responsible for laying about 300 eggs in cotton plants during its life (Monnerat et al., 2002). Feeding behavior of the larvae is responsible for the destruction of cotton fibers causing significant losses. Until now, the main tool to control CBW is through pesticide application in cotton fields. However, a better CBW control is urgently needed because of the high costs, human poisoning and environmental contamination (Luttrell et al., 1994, Ramalho, 1994, Ramalho and Wanderley, 1996, de Lima et al., 2013).

Biotechnological tools have a great potential to improve strategies of integrated pest management (IPM), including RNA interference (RNAi). RNAi is a process that results in decreased gene expression in eukaryotes, and its application can be mediated by double-stranded RNA (dsRNA) that induces gene-specific silencing (Fire et al., 1998, Younis et al., 2014). Applying the RNAi strategy using transgenic plants, for example, has therefore a great potential for insect control (Hannon, 2002, Hutvágner and Zamore, 2002, Price and Gatehouse, 2008, Zhao et al., 2011, Whyard, 2015, Zhang et al., 2015), and also for CBW, especially because CBW is able to process dsRNA in the RNAi pathway and could be susceptible to gene silencing using this technique, as suggested by Firmino et al. (2013).

Vitellogenin (Vg) is a phospholipoglycoprotein involved in yolk formation providing energy to oviparous vertebrates and invertebrates. In many insect species, Vg is synthesized in fat bodies, secreted into the hemolymph and transported by the circulatory system to the ovary. There, the protein is internalized into competent oocytes by receptor-mediated endocytosis (Raikhel and Dhadialla, 1992) and stored into the yolk. Because yolk is the major nutrient source for the embryo, vitellogenin biosynthesis and uptake are key processes for insect reproductive success (Tufail et al., 2005, Tufail and Takeda, 2008). However, the role of Vg in insects extends beyond embryo nutrition, involving also foraging, social behavior, hormonal dynamics, immune response and oxidative stress resistance (Amdam et al., 2003a, Amdam et al., 2004, Guidugli et al., 2005, Seehuus et al., 2006, Parthasarathy and Palli, 2011, Havukainen et al., 2013, Singh et al., 2013, Zhang et al., 2014). The importance of Vg in many insect species, especially in social insects, has been illustrated in several publications, mainly in foraging behavior (Wang et al., 2012, Havukainen et al., 2013, Nunes et al., 2013, Singh et al., 2013, Tokar et al., 2014, Lu et al., 2015, Salmela et al., 2015). For non-social insects, Vg knock-down via RNAi highlight its importance on egg formation in Hemiptera, Coleoptera, Lepidoptera, Orthoptera and Neuroptera (Lu et al., 2009, Tufail and Takeda, 2009, Parthasarathy and Palli, 2011, Shu et al., 2011, Tokar et al., 2014, Veerana et al., 2014, Liu et al., 2015, Lu et al., 2015, Tetlak et al., 2015). Despite the available data, the importance of Vg proteins on the refined processes of weevils reproduction is limited.

Since CBW is considered a major threat to cotton plants in which adult insects colonize host plants during early flowering, it is of great importance to block CBW attack on a large scale in the field. Therefore we have studied here A. grandis vitellogenin, named AgraVg, as a target gene and its potential to control this pest. In CBW, most studies have been concentrated on hormonal regulation of vitellogenesis (Trewitt et al., 1992, Sappington and Spurgeon, 2000, Mitchell et al., 2007, Shu et al., 2011). Trewitt et al. (1992) have reported the AgraVg nucleotide sequence and structure. Although Vg synthesis and uptake in boll weevil (Sappington and Spurgeon, 2000) have been previously illustrated, there is no experimental evidence until now of its relevance in this insect reproduction, especially in egg-laying and egg viability using gene knockdown by RNAi. It is known that CBW has two yolk protein subunits in the egg, which are designated as YP47 and YP160, with apparent sizes of 47 and 160 kDa, respectively (Trewitt et al., 1992). Only one gene coding for the Vg protein has been found in CBW females with a mRNA sequence of 10,017 bp (GenBank, accession number: M72980.1).

Other insect species like Solenopsis invicta (Hymenoptera: Formicidae) and Spodoptera litura (Lepidoptera: Noctuidae) have been shown to block Vg accumulation by receptor knockdown resulting in a significant decrease in egg number (Lu et al., 2009, Shu et al., 2011). Since Vg accumulation into the oocyte is mediated by the vitellogenin receptor, knocking down the receptor prevents Vg internalization, causing a comparable effect to Vg knockdown. Despite all these data, acquiring more knowledge on the precise role of Vg in insects still remains of great interest to entomologists and farmers. Considering Vg as a gene target, and to better evaluate the effects of its absence during CBW development, further studies are needed to allow the design of rational tools for pest control.

Here we describe the cloning of a 400 bp fragment of the CBW Vg mRNA, its engineering and application via RNAi. Results obtained were generated by analyzing transcription expression patterns, and the effects of transcript knockdown were monitored during female reproduction and egg development. The presented data suggest that AgraVg can be considered a promising target gene for the bio-engineering of cotton boll weevil resistance.

2. Materials and methods

2.1. Insect rearing

The eggs, larvae and adults of CBW were obtained from the Laboratory of Bio-ecology and Insect Semiochemicals from Embrapa Genetic Resources and Biotechnology in Brasilia, Brazil. The colony was maintained on artificial diet at 28 ± 2 °C, relative humidity of 60 ± 10% and photoperiod of 12 h. The insects were reared as described by Monnerat et al. (2002). The sex determination of adults was performed by observing the external sexual organs as described by Sappington and Spurgeon (2000).

2.2. RNA isolation and qPCR

To quantify the transcript pattern of AgraVg, cDNA was prepared from total RNA that had been isolated from eggs, 1st, 2nd and 3rd larval instars, pupae and adults (males and females, mixed and separated) with TRIzol® reagent (Invitrogen™) according to the manufacturer's instructions. AgraVg expression levels were also detected by using RNA from CBW adult females from different ages (two, three and four days after emerging). Genomic DNA was removed by treating with 2 U of RNase-free DNase I (Ambion®). The extracted RNAs were subjected to RNeasy Micro Kit (Qiagen) column, and RNA integrity was confirmed by 1.5% agarose gel electrophoresis. RNA quantities were assessed with a Qubit fluorometer using a Quant-iT RNA assay (Invitrogen™), and 500 ng of total RNA was used in the steps that followed. The absence of amplicons after performing PCR with Taq-polymerase (Invitrogen™) and 1 μL of RNA solution confirmed the absence of DNA contamination in the samples. cDNA synthesis was performed by reverse-transcriptase (Superscript III™ First-Strand Synthesis SuperMix for RT-qPCR) (Invitrogen™) according to the manufacturer's instructions.

The DNA sequence of AgraVg (accession number: M72980.1) was retrieved from GenBank (www.ncbi.nlm.nih.gov/genbank). OligoPerfect™ Designer (Invitrogen™) was used to design quantitative real-time (RT-) PCR primers. The corresponding primer sequences are displayed in Table 1. The primers were validated with a performance dissociation protocol to detect the presence of primer dimers and the production of a single PCR product. Only a single melting peak was found for all the transcripts. Reverse transcription-qPCR assays were set up by using a 7500 Fast (Applied Biosystems) thermocycler and specific primers for each gene. Each reaction was performed in 10 μL (total volume) containing 2.5 μL of SYBR Green ROX Plus PCR Mix (LGC Biotecnologia), 2 μL of cDNA (diluted 1:40), 4.7 μL of distilled water and 0.2 μM of each primer (forward and reverse). The reaction was performed under the following sequential conditions: incubation at 95 °C for 10 min, followed by 40 cycles at 95 °C for 15 s and 60 °C for 1 min. After 40 cycles, a dissociation curve for each amplicon was created. Two housekeeping genes were chosen: GAPDH (GABY01019565) and beta-tubulin (GABY01011644) based on stability analysis performed by Firmino et al. (unpublished data). The transcript expression levels were determined as the number of cycles required to reach a fixed threshold in the exponential phase of PCR. The number of cycles was referred to as the Cq value (Quantification Cycle), in accordance with the RDML standards (Lefever et al., 2009). The efficiency of each primer for each reaction and Cq value were calculated individually by using the qPCR miner software (www.miner.ewindup.info) (Zhao and Fernald, 2005). The relative expression of Vitellogenin was calculated by using the Pfaffl method (Pfaffl, 2001), which corrects primer efficiency by using qBase plus software (Biogazelle, Belgium). Statistical differences of transcript expression were calculated using the iteration test using the Rest 2009 (Qiagen) software.

Table 1.

Primers used for qPCR and cloning in this study.

Target gene Primer Sequence (5′–3′) Fragment size (bp) Goal
Vitellogenin AgraVg_qPCR_F TCATCAAATCTATATGGCTGGTTATGAC 221 qPCR
AgraVg_qPCR_R GCTACAGGACTAATTGCCATAACATCAC
GAPDH AgraGAPDH_qPCR_F AGATCGTCGAGGGTCTGATG 166 qPCR
AgraGAPDH_qPCR_R AAGGCGGGAATGACTTTACC
β-Tubulin AgraBtub_qPCR_F GGTTGCGACTGTTTACAAGG 156 qPCR
AgraBtub_qPCR_R GCACCACCGAGTAAGTGTTC
Vitellogenin AgraVg_F attB1a — TCATCAAATCTATATGGC 401 Cloning
AgraVg_R attB2a— ATTTGTCCCATAATTGTT
GUS GUS_F attB1a — GAACTGAACTGGCAGACTATC 393 Cloning
GUS_R attB2a — CGGGTAGATATCACACTCTGT
a

attB cloning sites necessary for using the Gateway® cloning system (Life Technologies™). attB1 — GGGGACAAGTTTGTACAAAAAAGCAGGCTGG; attB2 — GGGGACCACTTTGTACAAGAAAGCTGGGTG.

2.3. Synthesis of AgraVg dsRNA

To obtain a construct for dsRNA synthesis specific for the CBW Vg sequence, primers (Table 1) containing attB1 and attB2 sites were designed for cloning into vectors by using the Gateway® method (Invitrogen™). A selected 400 bp fragment of Vg was cloned from CBW cDNA into pDONR vector™ 221 using BP clonase (PCR Cloning System with Gateway® Technology Kit, Invitrogen™). Plasmids were EcoRV digested and sequenced. The Vg fragment was transferred to the L4440gtwy vector (a gift from Guy Caldwell, Addgene plasmid # 11344) by recombination using LR clonase enzyme. The L4440gtwy vector is a modified form of the L4440 plasmid (Timmons et al., 2001), which was used for in vitro transcription.

Double-stranded RNA was synthesized by PCR and in vitro transcription as described in Clemens et al. (2000). PCR was performed by using primers with terminal 5′ T7 promoter sites, and the AgraVg_L4440gtwy construct was used as template. The PCR product was used for in vitro transcription in MEGAscript® T7 Transcription kit (Invitrogen™). A 393 bp fragment of β-glucoronidase (GUS) was used as a control. Primer sequences used to generate fragments for in vitro transcription are presented in Table 1. Transcription was performed according to the kit instructions, except that the reaction was allowed to proceed overnight. dsRNAs were treated with DNase, precipitated with isopropyl alcohol and eluted in DEPC-treated water.

2.4. RNAi experiments

To evaluate the effects caused by a possible knockdown of AgraVg, newly emerging CBW adult females (≤ 24 h old) were injected in the abdominal dorsal region with either 1 μL of DEPC water (mock control) or 1 μL of DEPC water containing 500 ng of dsRNA from GUS (as a non-specific dsRNA control) or 500 ng of AgraVg dsRNA (target-specific dsRNA). Microinjections were performed using a 10 μL Hamilton syringe. For each treatment, 42 females were injected, from which 30 were used for biological analysis and 12 collected for RNA extraction.

At 24, 48 and 72 h after microinjection, total RNA was extracted from four females for each treatment and time point. Samples were DNase-treated and subjected to qPCR to quantify AgraVg transcript levels as described in Section 2.2. The list of primers is given in Table 1. Three independent qPCR reactions were performed for each sample.

For biological analysis, treated females were placed with untreated males in groups of five couples per cage to allow mating for 15 days, in a total of 20 females per treatment. An artificial diet, as described by Monnerat et al. (2002), was provided as food source. The number of eggs laid by each group and the egg hatching rate were monitored daily over a period of 15 days. All the resulting data were statistically analyzed by SPSS (SPSS Inc., USA) using one-way analysis of variance (ANOVA) and means were compared with the Tukey's test (P < 0.05). All the experiments were independently repeated twice.

2.5. Histological evaluation of eggs laid by dsAgraVg-treated CBW females

CBW females treated with dsAgraVg, dsGUS and DEPC water were placed in cages together with males to allow mating and egg production. The resulting eggs were collected 72 h after oviposition, and their external morphology was analyzed by stereomicroscopy (Olympus MVX10). Images were acquired with a digital Olympus DP71 camera.

A detailed histological evaluation of eggs with at 96 h after oviposition were processed as described by Vieira et al. (2013). Briefly, the samples were fixed in 2.5% glutaraldehyde, gradually dehydrated in ethanol, and embedded in plastic resin (Technovit®, Heraeus Kulzer). Tissue sections of 5 μm were subsequently made stained with 0.05% toluidine blue and mounted in DPX (Sigma-Aldrich). Microscopic analyses were performed using bright-field optics and images were acquired with a digital camera (Axiocam, Zeiss).

3. Results

3.1. Vitellogenin is highly transcribed in CBW females

To determine whether CBW regulates AgraVg expression during different developmental stages, transcript amounts were quantified by qPCR for different CBW life stages. AgraVg expression was approximately 140 times higher in adults (mixed males and females) than in eggs, 3rd instar larvae and pupae (Fig. 1A). Interestingly, the AgraVg transcript expression of 1st and 2nd instars were statistically different from eggs, 3rd instar and pupae, being twice more expressed (Fig. 1A). When comparing AgraVg transcript expression in males and females a 900 times higher expression level was observed in females (Fig. 1B).

Fig. 1.

Fig. 1

Relative quantification of Anthonomus grandis vitellogenin (vg) transcripts. (A) Relative quantification of vg in eggs, 1st, 2nd and 3rd larval instars, pupae and adults (males + females) of A. grandis. (B) Relative quantification of Vg in males and females of A. grandis. (C) Relative quantification of vg in A. grandis females 1, 2 and 3 days-old. Bars are means ± SE (standard error) of two biological replicates. Each of these replicates was assayed in three times. Different letter means statistical difference. The analysis was performed using iteration test (REST 2009 Software).

To precisely assess at which age AgraVg mRNA levels increase in females, transcript levels were also monitored from day one to three after emergence. Our qPCR data (Fig. 1C) illustrate the gradual increase from the 1st to the 3rd day after emergence with a major increase on day 3 reaching levels around 30 times higher than those found for the 1st day after emergence.

3.2. Effect of AgraVg knockdown on the number and viability of eggs

To analyze gene knockdown by qPCR, newly emerged CBW adult females were injected with dsAgraVg and DEPC water as a control and monitored 24, 48 and 72 h after RNAi treatment. qPCR results showed that the AgraVg expression levels decreased around 90% in CBW females at 24 and 48 h after dsAgraVg injection in comparison to the control (Fig. 2). Seventy-two hours after dsAgraVg treatment, AgraVg levels further reduced to approximately 97% when compared with controls of similar age (Fig. 2).

Fig. 2.

Fig. 2

Relative quantification of Anthonomus grandis vitellogenin (vg) transcripts in females 24, 48 and 72 h after microinjection. Bars are means ± SE (standard error) of two biological replicates. Each of these replicates was assayed three times. Control: treatment (microinjection with water); dsAgraVg: microinjection of 500 ng of dsVg. Statistical analysis was performed using iteration test (REST 2009 Software). ** (p ≤ 0.01), *** (p ≤ 0.001).

To assess the effects of AgraVg knockdown after dsRNA injection during CBW reproduction, we investigated the following three biological parameters: 1) The pre-oviposition period, to assess a possible delay in egg laying; 2) the number of eggs laid by female groups treated with dsAgraVg compared to controls; and 3) the viability rate of the eggs laid by these females.

The four-day period between the injection and the oviposition of the first egg did not change between the different treatments (Fig S1). The average number of eggs laid for each group consisting of five couples over 15 days was approximately 130 for dsAgraVg, 150 for water and 160 for dsGUS. Statistical analysis using one-way ANOVA (F = 0.67; p = 0.535) revealed that the AgraVg knockdown did not affect egg production in CBW (Fig. 3A). However, viability of eggs laid by females injected with dsAgraVg was dramatically affected and females were not able to generate viable progeny (Fig. 3B). Egg viability rate in controls using water and dsGUS was between 63% and 65%, respectively. In contrast, the percentage of hatched eggs during dsAgraVg treatment was < 1% (F = 94.91; p < 0.0001) (Fig. 3B).

Fig. 3.

Fig. 3

Effect of vitellogenin knockdown on Anthonomus grandis reproduction. (A) Number of eggs per group of five A. grandis couples (four groups per treatment) during 15 days. (B) Percentage of eggs viability per group of five A. grandis couples for 15 days. Mean ± SE of three experiments are shown. Different letters represent statistical difference with Analysis of Variance (ANOVA) and 5% probability by Tukey test.

3.3. Eggs laid by dsAgraVg-treated CBW females show arrests at different developmental stages

Since, AgraVg knockdown affected egg viability, we evaluated the egg morphology by performing a microscopic histological analysis of the embryo development. External morphological features were analyzed by sampling around ten eggs randomly chosen for each treatment. The images revealed that eggs resulting from control treatments showed normal embryonic development 72 h post-oviposition (Fig. 4A and B). Markers like normal germ-band broadening and curvature toward the dorsal side indicate normal development. At 72 h post-oviposition, 100% of eggs resulting from the dsAgraVg treatment appeared different from control eggs (Fig. 4C and D). We observed a reduction in the amount of tissue within the egg and the appearance of transparent zones devoid of cells. In contrast, control eggs were filled with larval tissue showing a clear segmentation pattern.

Fig. 4.

Fig. 4

External morphology of Anthonomus grandis eggs laid by females treated with DEPC water (A), 500 ng of dsGUS (B) and 500 ng of dsAgraVg (C and D).

Due to insect oviposition and fertilization pattern, it is normal to find unfertilized eggs in nature. In our experiments, 96 h after oviposition all viable eggs had already hatched, and the unfertilized eggs were collected and analyzed. Twenty eggs were imaged for the control treatments (H2O and dsGUS-treated). These eggs were filled with a fatty compound, probably vitellin, without showing any sign of a developing embryo (Fig. 5A). For the dsAgraVg-treated females we imaged 30 eggs. All of them were unviable and showed different phenotypes that were sorted in three groups. The first group (40% of total eggs) was characterized by a blockage in embryo development at early stages, severe tissue disorganization, and cell clustering in the central part of the egg (Fig. 5B). The second group (14% of the total eggs) includes embryos blocked in a more advanced developmental stage where the developing germ band can be observed (Fig. 5C). In the third group (33% of total eggs), more evolved structures such as mouthparts were already clearly visible (Fig. 5D and E). The embryo illustrated in Fig. 5E shows an irregular segmentation primarily at the anterior end of the body. Thirteen percent of the total imaged eggs were non-fertilized.

Fig. 5.

Fig. 5

Vitellogenin knockdown significantly affects the embryonic development in Anthonomus grandis. Histological analysis of 96 h-old eggs. A) Unfertilized egg laid by females from control treatment. B) Eggs from females treated with dsAgraVg with developing embryos blocked at early embryonic stage; C) Eggs from females treated with dsAgraVg with a more advanced embryonic development, showing a developing germ band. D–E) Eggs from females treated with dsAgraVg at very advanced stages showing complete larvae formation, but with malformation. Overall staining performed with toluidine blue for morphological observations. Bar: 50 μm.

4. Discussion

Vitellogenin is known to be an important protein for embryonic development for a wide range of insect species (Nation, 2008, Singh et al., 2013, Amsalem et al., 2014, Ren and Hughes, 2014, Zhang et al., 2014), but Vg is also involved in other aspects of reproduction such as terminal follicular growth, stimulation of follicular epithelium differentiation and competent oocyte development via protein internalization (Raikhel and Dhadialla, 1992). Here, we present for the first time data that support the potential use of AgraVg gene knockdown as a tool for A. grandis control, demonstrating the molecular and histological effects when decreasing vitellogenin transcripts in this insect pest and its progeny.

Transcription analysis of different developmental stages in A. grandis demonstrated a clear AgraVg expression mostly in females (Fig. 1B). This finding is not un-expected since females are responsible for yolk transfer to developing oocytes (Tufail and Takeda, 2008). A gradual increase in AgraVg expression could be observed in CBW females during the first four days after emergence (Fig. 1C). This phase corresponds to the beginning of CBW vitellogenesis, as the insect presented a pre-oviposition period of four days (Fig. S1). Similar results have been reported for Apis mellifera (Hymenoptera) (Seehuus et al., 2007) and Nilaparvata lugens (Hemiptera) (Tufail et al., 2010). Surprisingly, low levels of AgraVg transcripts were detected in eggs, larval and pupal stages. Other work did not mention the presence of either AgraVg transcripts or proteins in other stages than adult female in A. grandis (Taub-Montemayor et al., 1997a, Taub-Montemayor et al., 1997b, Taub-Montemayor and Rankin, 1997). Only very low transcript amounts were detected in comparison to adult females, representing maybe just basal transcription (Fig. 1A). Until now, no role for vitellogenin at non-reproductive stages was reported for non-social insects.

The specific knockdown of AgraVg as a consequence of dsRNA treatment was confirmed by qPCR, revealing a remarkable decrease in AgraVg expression in CBW females (Fig. 2). This finding suggests that the normal increase of AgraVg after 72 h is blocked by dsAgraVg treatment. The first vitellogenin RNAi study in insects was performed in honeybees, but knockdown was only confirmed by Western and Northern blots (Amdam et al., 2003b). Antonio et al. (2008) describing the successful knockdown of the vitellogenin gene in honeybees with a 25-fold reduction of target gene transcripts compared to controls. The AgraVg knockdown results described in this manuscript showed similar efficiency.

Moreover, we noticed that AgraVg knockdown also resulted in a striking reduction in egg viability, without influencing the pre-oviposition period or the amount of laid eggs (Figs. 3A and S1). Differently, in Chrysopa septempunctata (Neuroptera: Chrysopidae) and Nilapavarta lugens (Hemiptera: Delphacidae) Vg knocking down resulted in less eggs and a low egg-hatching ratio (Liu et al., 2015, Lu et al., 2015). RNAi studies of other genes involving insect reproduction, such as the juvenile hormone acid O-methyltransferase (HJAMT), Methoprene tolerant (Met) and Kruppel (Kr-h1), resulted in a 90% reduction in egg production in Tribolium castaneum. However, knockdown of the ecdysone receptor (EcR) and ultraspiracle (USP) genes of T. castaneum provoked a delay in ovary, ovarioles and oocytes maturation as well as an arrest in egg production (Parthasarathy et al., 2010a, Parthasarathy et al., 2010b). Knockdowns of the vitellogenin receptor (VgRc) in S. litura (Lepidoptera: Noctuidae) (Shu et al., 2011) and Dermacentor variabilis (Acari) (Mitchell et al., 2007) have also been reported. Similarly as we found in CBW, in S. litura, decreasing VgRc transcripts via dsRNA treatment of freshly emerged adult females did not significantly change oviposition rates (Shu et al., 2011). However, hatching was not evaluated, and therefore, reproductive success could not be assessed (Shu et al., 2011). In the Acari D. variabilis, dsRNA treatment resulted in no egg-laying and an absence of Vg accumulation in the ovaries (Mitchell et al., 2007). Only one single study reported a one-day delay in the pre-oviposition of Blattella germanica (Blattodea) when the lipophorin gene was knocked down. The lipophorin protein is involved in the transport of lipids between different tissues and also acts during vitellogenesis (Ciudad et al., 2007).

Histological analysis of CBW eggs clearly showed that Vg knockdown leads to a range of phenotypes, suggesting multiple responses to dsAgraVg treatment (Fig. 5). These variations could be explained by a dose effect caused by the amounts of injected dsAgraVg in females. Variations reported in the literature were most likely associated to the different methodologies of dsRNA delivery (feeding or microinjection) or the target species (Terenius et al., 2011).

We hypothesize four explanations for the range of phenotypes encountered in our study: (1) As shown in Fig. 2, the efficiency of the AgraVg knockdown increased over time, based on the suppression of AgraVg accumulation in four-day-old females (Fig. 2, Fig. 1C). Therefore, early-produced eggs may have accumulated more vitellin, being still not sufficient to allow hatching. This sequence of events could have assured a more advanced embryonic development. (2) The efficiency of the RNAi machinery in each individual female insect may be slightly different because of intra-species genetic variability. (3) Different phenotypes could have resulted from variable body weights and consequently different amounts of hemolymph, leading to variable final dsRNA concentrations. This variation could affect the amount of protein accumulated in the oocytes, allowing some embryos to proceed embryonic development. (4) AgraVg knockdown might interfere with the expression of other genes involved in embryonic development. It is known that embryo development requires highly synchronized gene expression (Klowden, 2007), and variable Vg levels caused by the knockdown could negatively affect accurate synchronization.

Concerning the importance of yolk protein for embryo growth, Nordin et al. (1990) reported that improper Vg processing in B. germanica affect embryo development. They have shown that there is a functional relation between the size of the Vg polypeptide that is processed and the presence of protease activity in the egg sacs that are laid (Nordin et al., 1990). It has been proposed that Vg-programmed proteolysis during embryogenesis in insects may release maternal ecdysteroids with hormonal activity to initiate certain embryonic events (Lagueux et al., 1984, Bownes et al., 1988).

The use of RNAi to control coleopteran pest was firstly tested by Baum et al. (2007). dsRNA was offered by feeding to insects like Diabrotica virgifera virgifera, Diabrotica undecimpunctata howardii, Leptinotarsa descemlineata and A. grandis. Gene knockdown caused lethality in the first three species, but not in A. grandis. For the latter, larvae may only use a restricted portion of the diet as food source, or species-specific intestinal nucleases may degrade dsRNA before knockdown (Arimatsu et al., 2007, Liu et al., 2012). However, several improvements on dsRNA delivery and uptake methods have been established making this technique more generally applicable in different fields. For example, the expression of long dsRNA in plastids has been tested with success. (Jin et al., 2015, Whyard, 2015, Zhang et al., 2015). Other strategies foresee the possibility to stabilize and protect dsRNA molecules with nanoparticles (Zhang et al., 2010) to prevent dsRNA degradation until it is uptake by midgut insect cells.

In summary, this study is the first to show that altering AgraVg expression in CBW can be done with success using the strategy of dsRNA for gene knockdown. Our work demonstrates that A. grandis Vitellogenin protein is an important player in the insect's reproductive performance, since gene knockdown leads to females that lay eggs that do not hatch. A range of embryo phenotypes were observed in females subjected to Vg knockdown suggesting that the amount of gene silencing may differ between individuals, or that the microinjection procedure used here does not allow for the precise delivery of equal amounts of dsRNA in each insect. Clearly, other unknown experimental variables maybe involved.

Based on the presented data, we believe to provide solid evidence that the RNAi strategy applied to the Vg gene might be a promising and safe alternative for the genetic control of CBW. Indeed, CBW has only one Vg gene (Trewitt et al., 1992), which avoids possible interference due to functional redundancy. To diversify pest management, the approach proposed here should be tested on transgenic cotton plants or, as an alternative to OGMs, using nano-compounds carrying AgraVg dsRNA to be sprayed on cotton plants.

The following are the supplementary data related to this article.

Fig. S1

Pre-oviposition period in days of Anthonomus grandis microinjected with water, 500 ng of dsGUS and 500 ng of dsVtg.

mmc1.docx (25.5KB, docx)

Acknowledgments

We thank Isabella Girotti Grisi for providing the insects. This work was supported by EMBRAPA (02.11.07.003.00.00), FAPDF (193.000.450/2014), CNPq (143030/2009-4) and CAPES (6585-11-6).

References

  1. Amdam G.V., Norberg K., Hagen A., Omholt S.W. Social exploitation of vitellogenin. Proc. Natl. Acad. Sci. 2003;100:1799–1802. doi: 10.1073/pnas.0333979100. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Amdam G.V., Simões Z.L.P., Guidugli K.R., Norberg K., Omholt S.W. Disruption of vitellogenin gene function in adult honeybees by intraabdominal injection of double-stranded RNA. BMC Biotechnol. 2003;3:1–8. doi: 10.1186/1472-6750-3-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Amdam G.V., Simões Z.L.P., Hagen A., Norberg K., Schrøder K., Mikkelsen Ø., Kirkwood T.B.L., Omholt S.W. Hormonal control of the yolk precursor vitellogenin regulates immune function and longevity in honeybees. Exp. Gerontol. 2004;39:767–773. doi: 10.1016/j.exger.2004.02.010. [DOI] [PubMed] [Google Scholar]
  4. Amsalem E., Malka O., Grozinger C., Hefetz A. Exploring the role of juvenile hormone and vitellogenin in reproduction and social behavior in bumble bees. BMC Evol. Biol. 2014;14:1–13. doi: 10.1186/1471-2148-14-45. [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Antonio D.S.M., Guidugli-Lazzarini K.R., do Nascimento A.M., Simoes Z.L.P., Hartfelder K. RNAi-mediated silencing of vitellogenin gene function turns honeybee (Apis mellifera) workers into extremely precocious foragers. Naturwissenschaften. 2008;95:953–961. doi: 10.1007/s00114-008-0413-9. [DOI] [PubMed] [Google Scholar]
  6. Arimatsu Y., Kotani E., Sugimura Y., Furusawa T. Molecular characterization of a cDNA encoding extracellular dsRNase and its expression in the silkworm, Bombyx mori. Insect Biochem. Mol. Biol. 2007;37:176–183. doi: 10.1016/j.ibmb.2006.11.004. [DOI] [PubMed] [Google Scholar]
  7. Baum J.A., Bogaert T., Clinton W., Heck G.R., Feldmann P., Ilagan O., Johnson S., Plaetinck G., Munyikwa T., Pleau M., Vaughn T., Roberts J. Control of coleopteran insect pests through RNA interference. Nat. Biotechnol. 2007;25:1322–1326. doi: 10.1038/nbt1359. [DOI] [PubMed] [Google Scholar]
  8. Bownes M., Shirras A., Blair M., Collins J., Coulson A. Evidence that insect embryogenesis is regulated by ecdysteroids released from yolk proteins. Proc. Natl. Acad. Sci. U. S. A. 1988;85:1554–1557. doi: 10.1073/pnas.85.5.1554. [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Ciudad L., Belles X., Piulachs M.D. Structural and RNAi characterization of the German cockroach lipophorin receptor, and the evolutionary relationships of lipoprotein receptors. BMC Mol. Biol. 2007;8:53. doi: 10.1186/1471-2199-8-53. [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Clemens J.C., Worby C.A., Simonson-Leff N., Muda M., Maehama T., Hemmings B.A., Dixon J.E. Use of double-stranded RNA interference in Drosophila cell lines to dissect signal transduction pathways. Proc. Natl. Acad. Sci. U. S. A. 2000;97:6499–6503. doi: 10.1073/pnas.110149597. [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. de Lima I.S., Degrande P.E., Miranda J.E., dos Santos W.J. Evaluation of the boll weevil Anthonomus grandis Boheman (Coleoptera: Curculionidae) suppression program in the state of Goiás, Brazil. Neotrop. Entomol. 2013;42:82–88. doi: 10.1007/s13744-012-0083-3. [DOI] [PubMed] [Google Scholar]
  12. Fire A., Xu S., Montgomery M.K., Kostas S.A., Driver S.E., Mello C.C. Potent and specific genetic interference by double-stranded RNA in Caenorhabditis elegans. Nature. 1998;391:806–811. doi: 10.1038/35888. [DOI] [PubMed] [Google Scholar]
  13. Firmino A.A.P., Fonseca F.C.d.A., de Macedo L.L.P., Coelho R.R., de Souza A., Jr., Togawa J.D., Silva-Junior R.C., Pappas-Jr O.B., Silva G.J., M.C.M.d, Engler G., Grossi-de-Sa M.F. Transcriptome analysis in cotton boll weevil (Anthonomus grandis) and RNA interference in insect pests. PLoS One. 2013;8 doi: 10.1371/journal.pone.0085079. [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Guidugli K.R., Nascimento A.M., Amdam G.V., Barchuk A.R., Omholt S.W., Simões Z.L.P., Hartfelder K. Vitellogenin regulates hormonal dynamics in the worker caste of a eusocial insect. FEBS Lett. 2005;579:4961–4965. doi: 10.1016/j.febslet.2005.07.085. [DOI] [PubMed] [Google Scholar]
  15. Hannon G.J. RNA interference. Nature. 2002;418:244–251. doi: 10.1038/418244a. [DOI] [PubMed] [Google Scholar]
  16. Havukainen H., Münch D., Baumann A., Zhong S., Halskau Ø., Krogsgaard M., Amdam G.V. Vitellogenin recognizes cell damage through membrane binding and shields living cells from reactive oxygen species. J. Biol. Chem. 2013;288:28369–28381. doi: 10.1074/jbc.M113.465021. [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Hutvágner G., Zamore P.D. RNAi: nature abhors a double-strand. Curr. Opin. Genet. Dev. 2002;12:225–232. doi: 10.1016/s0959-437x(02)00290-3. [DOI] [PubMed] [Google Scholar]
  18. Jin S., Singh N.D., Li L., Zhang X., Daniell H. Engineered chloroplast dsRNA silences cytochrome p450 monooxygenase, V-ATPase and chitin synthase genes in the insect gut and disrupts Helicoverpa armigera larval development and pupation. Plant Biotechnol. J. 2015;13:435–446. doi: 10.1111/pbi.12355. [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Klowden M.J. second ed. Elsevier; London: 2007. Physiological Systems in Insects. [Google Scholar]
  20. Lagueux M., Hoffmann J.A., Goltzené F., Kappler C., Tsoupras G., Hetru C., Luu B. Springer; Berlin Heidelberg: 1984. Ecdysteroids in Ovaries and Embryos of Locusta migratoria, Biosynthesis, Metabolism and Mode of Action of Invertebrate Hormones; pp. 168–180. [Google Scholar]
  21. Lefever S., Hellemans J., Pattyn F., Przybylski D.R., Taylor C., Geurts R., Untergasser A., Vandesompele J. RDML: structured language and reporting guidelines for real-time quantitative PCR data. Nucleic Acids Res. 2009;37:2065–2069. doi: 10.1093/nar/gkp056. [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. Liu J., Swevers L., Iatrou K., Huvenne H., Smagghe G. Bombyx mori DNA/RNA non-specific nuclease: expression of isoforms in insect culture cells, subcellular localization and functional assays. J. Insect Physiol. 2012;58:1166–1176. doi: 10.1016/j.jinsphys.2012.05.016. [DOI] [PubMed] [Google Scholar]
  23. Liu C., Mao J., Zeng F. Chrysopa septempunctata (Neuroptera: Chrysopidae) vitellogenin functions through effects on egg production and hatching. J. Econ. Entomol. 2015;108:2779–2788. doi: 10.1093/jee/tov229. [DOI] [PubMed] [Google Scholar]
  24. Lu H.L., Vinson S.B., Pietrantonio P.V. Oocyte membrane localization of vitellogenin receptor coincides with queen flying age, and receptor silencing by RNAi disrupts egg formation in fire ant virgin queens. FEBS J. 2009;276:3110–3123. doi: 10.1111/j.1742-4658.2009.07029.x. [DOI] [PubMed] [Google Scholar]
  25. Lu K., Shu Y., Zhou J., Zhang X., Zhang X., Chen M., Yao Q., Zhou Q., Zhang W. Molecular characterization and RNA interference analysis of vitellogenin receptor from Nilaparvata lugens (Stål) J. Insect Physiol. 2015;73:20–29. doi: 10.1016/j.jinsphys.2015.01.007. [DOI] [PubMed] [Google Scholar]
  26. Luttrell R.G., Fitt G.P., Ramalho F.S., Sugonyaev E.S. Cotton pest management: part 1 a worldwide perspective. Annu. Rev. Entomol. 1994;39:517–526. [Google Scholar]
  27. Mitchell R.D., 3rd, Ross E., Osgood C., Sonenshine D.E., Donohue K.V., Khalil S.M., Thompson D.M., Michael Roe R. Molecular characterization, tissue-specific expression and RNAi knockdown of the first vitellogenin receptor from a tick. Insect Biochem. Mol. Biol. 2007;37:375–388. doi: 10.1016/j.ibmb.2007.01.005. [DOI] [PubMed] [Google Scholar]
  28. Monnerat R.G., Nobre S.D.N., Oliveira Neto O.B., Schmidt F.G.V., Dias S., Lauman R., Grossi de Sá M.F., Sujii E.R. Parâmetros Bionômicos do Bicudo-do-algodoeiro (Anthonomus grandis) criado em dieta artificial para a realização de bioensaios. Boletim de Pesquisa e Desenvolvimento. 2002:1–22. [Google Scholar]
  29. Nation J.L. second ed. CRC Press; New York: 2008. Insect Physiology and Biochemistry. [Google Scholar]
  30. Nordin J.H., Beaudoin E.L., Liu X. Proteolytic processing of Blattella germanica vitellin during early embryo development. Arch. Insect Biochem. Physiol. 1990;15:119–135. [Google Scholar]
  31. Nunes F.M.F., Ihle K.E., Mutti N.S., Simões Z.L.P., Amdam G.V. The gene vitellogenin affects microRNA regulation in honey bee (Apis mellifera) fat body and brain. J. Exp. Biol. 2013;216:3724–3732. doi: 10.1242/jeb.089243. [DOI] [PubMed] [Google Scholar]
  32. Parthasarathy R., Palli S.R. Molecular analysis of nutritional and hormonal regulation of female reproduction in the red flour beetle, Tribolium castaneum. Insect Biochem. Mol. Biol. 2011;41:294–305. doi: 10.1016/j.ibmb.2011.01.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. Parthasarathy R., Sheng Z., Sun Z., Palli S.R. Ecdysteroid regulation of ovarian growth and oocyte maturation in the red flour beetle, Tribolium castaneum. Insect Biochem. Mol. Biol. 2010;40:429–439. doi: 10.1016/j.ibmb.2010.04.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  34. Parthasarathy R., Sun Z., Bai H., Palli S.R. Juvenile hormone regulation of vitellogenin synthesis in the red flour beetle, Tribolium castaneum. Insect Biochem. Mol. Biol. 2010;40:405–414. doi: 10.1016/j.ibmb.2010.03.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  35. Pfaffl M.W. A new mathematical model for relative quantification in real-time RT-PCR. Nucleic Acids Res. 2001;29 doi: 10.1093/nar/29.9.e45. [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Price D.R.G., Gatehouse J.A. RNAi-mediated crop protection against insects. Trends Biotechnol. 2008;26:393–400. doi: 10.1016/j.tibtech.2008.04.004. [DOI] [PubMed] [Google Scholar]
  37. Raikhel A.S., Dhadialla T.S. Accumulation of yolk proteins in insect oocytes. Annu. Rev. Entomol. 1992;37:217–251. doi: 10.1146/annurev.en.37.010192.001245. [DOI] [PubMed] [Google Scholar]
  38. Ramalho F.S. Cotton pest management: part 4. A Brazilian perspective. Annu. Rev. Entomol. 1994;39:563–578. [Google Scholar]
  39. Ramalho F.S., Wanderley P.A. Ecology and management of the boll weevil in south American cotton. Am. Entomol. 1996;42:41–47. [Google Scholar]
  40. Ren Y., Hughes K.A. Vitellogenin family gene expression does not increase Drosophila lifespan or fecundity. F1000Research. 2014;3:125. doi: 10.12688/f1000research.3975.1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  41. Salmela H., Amdam G.V., Freitak D. Transfer of immunity from mother to offspring is mediated via egg-yolk protein vitellogenin. PLoS Pathog. 2015;11 doi: 10.1371/journal.ppat.1005015. [DOI] [PMC free article] [PubMed] [Google Scholar]
  42. Sappington T.W., Spurgeon D.W. Preferred technique for adult sex determination of the boll weevil (Coleoptera: Curculionidae) Ann. Entomol. Soc. Am. 2000;93:610–615. [Google Scholar]
  43. Seehuus S.C., Norberg K., Gimsa U., Krekling T., Amdam G.V. Reproductive protein protects functionally sterile honey bee workers from oxidative stress. Proc. Natl. Acad. Sci. U. S. A. 2006;103:962–967. doi: 10.1073/pnas.0502681103. [DOI] [PMC free article] [PubMed] [Google Scholar]
  44. Seehuus S.C., Norberg K., Krekling T., Fondrk K., Amdam G.V. Immunogold localization of vitellogenin in the ovaries, hypopharyngeal glands and head fat bodies of honeybee workers, Apis mellifera. J. Insect Sci. 2007;7:1–14. doi: 10.1673/031.007.5201. [DOI] [PMC free article] [PubMed] [Google Scholar]
  45. Shu Y.H., Wang J.W., Lu K., Zhou J.L., Zhou Q., Zhang G.R. The first vitellogenin receptor from a Lepidopteran insect: molecular characterization, expression patterns and RNA interference analysis. Insect Mol. Biol. 2011;20:61–73. doi: 10.1111/j.1365-2583.2010.01054.x. [DOI] [PubMed] [Google Scholar]
  46. Singh N.K., Pakkianathan B.C., Kumar M., Prasad T., Kannan M., König S., Krishnan M. Vitellogenin from the silkworm, Bombyx mori: an effective anti-bacterial agent. PLoS One. 2013;8 doi: 10.1371/journal.pone.0073005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  47. Taub-Montemayor T.E., Rankin M.A. Regulation of vitellogenin synthesis and uptake in the boll weevil, Anthonomus grandis. Physiol. Entomol. 1997;22:261–268. [Google Scholar]
  48. Taub-Montemayor T.E., Dahm K.H., Bhaskaran G., Rankin M.A. Rates of juvenile hormone biosynthesis and degradation during reproductive development and diapause in the boll weevil, Anthonomus grandis. Physiol. Entomol. 1997;22:269–276. [Google Scholar]
  49. Taub-Montemayor T.E., Palmer J.O., Rankin M.A. Endocrine regulation of reproduction and diapause in the boll weevil, Anthonomus grandis Boheman. Arch. Insect Biochem. Physiol. 1997;35:455–477. [Google Scholar]
  50. Terenius O., Papanicolaou A., Garbutt J.S., Eleftherianos I., Huvenne H., Kanginakudru S., Albrechtsen M., An C.J., Aymeric J.L., Barthel A., Bebas P., Bitra K., Bravo A., Chevalieri F., Collinge D.P., Crava C.M., de Maagd R.A., Duvic B., Erlandson M., Faye I., Felfoldi G., Fujiwara H., Futahashi R., Gandhe A.S., Gatehouse H.S., Gatehouse L.N., Giebultowicz J.M., Gomez I., Grimmelikhuijzen C.J.P., Groot A.T., Hauser F., Heckel D.G., Hegedus D.D., Hrycaj S., Huang L.H., Hull J.J., Iatrou K., Iga M., Kanost M.R., Kotwica J., Li C.Y., Li J.H., Liu J.S., Lundmark M., Matsumoto S., Meyering-Vos M., Millichap P.J., Monteiro A., Mrinal N., Niimi T., Nowara D., Ohnishi A., Oostra V., Ozaki K., Papakonstantinou M., Popadic A., Rajam M.V., Saenko S., Simpson R.M., Soberon M., Strand M.R., Tomita S., Toprak U., Wang P., Wee C.W., Whyard S., Zhang W.Q., Nagaraju J., Ffrench-Constant R.H., Herrero S., Gordon K., Swelters L., Smagghe G. RNA interference in Lepidoptera: an overview of successful and unsuccessful studies and implications for experimental design. J. Insect Physiol. 2011;57:231–245. doi: 10.1016/j.jinsphys.2010.11.006. [DOI] [PubMed] [Google Scholar]
  51. Tetlak A., Burnett J., Hahn D., Hatle J. Vitellogenin-RNAi and ovariectomy each increase lifespan, increase protein storage, and decrease feeding, but are not additive in grasshoppers. Biogerontology. 2015:1–14. doi: 10.1007/s10522-015-9599-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  52. Timmons L., Court D.L., Fire A. Ingestion of bacterially expressed dsRNAs can produce specific and potent genetic interference in Caenorhabditis elegans. Gene. 2001;263:103–112. doi: 10.1016/s0378-1119(00)00579-5. [DOI] [PubMed] [Google Scholar]
  53. Tokar D.R., Veleta K.A., Canzano J., Hahn D.A., Hatle J.D. Vitellogenin RNAi halts ovarian growth and diverts reproductive proteins and lipids in young grasshoppers. Integr. Comp. Biol. 2014;54:931–941. doi: 10.1093/icb/icu068. [DOI] [PMC free article] [PubMed] [Google Scholar]
  54. Trewitt P.M., Heilmann L.J., Degrugillier S.S., Kumaran A.K. The boll weevil vitellogenin gene: nucleotide sequence, structure, and evolutionary relationship to nematode and vertebrate vitellogenin genes. J. Mol. Evol. 1992;34:478–492. doi: 10.1007/BF00160462. [DOI] [PubMed] [Google Scholar]
  55. Tufail M., Takeda M. Molecular characteristics of insect vitellogenins. J. Insect Physiol. 2008;54:1447–1458. doi: 10.1016/j.jinsphys.2008.08.007. [DOI] [PubMed] [Google Scholar]
  56. Tufail M., Takeda M. Insect vitellogenin/lipophorin receptors: molecular structures, role in oogenesis, and regulatory mechanisms. J. Insect Physiol. 2009;55:87–103. doi: 10.1016/j.jinsphys.2008.11.007. [DOI] [PubMed] [Google Scholar]
  57. Tufail M., Raikhel A.S., Takeda M. Biosynthesis and processing of insect vitellogenins. In: Raikhel A.S., Sappington T.W., editors. Progress in Vitellogenesis. Reproductive Biology of Invertebrates. Science Publishers, Inc.; Enfield: 2005. pp. 1–32. [Google Scholar]
  58. Tufail M., Naeemullah M., Elmogy M., Sharma P.N., Takeda M., Nakamura C. Molecular cloning, transcriptional regulation, and differential expression profiling of vitellogenin in two wing-morphs of the brown planthopper, Nilaparvata lugens Stal (Hemiptera: Delphacidae) Insect Mol. Biol. 2010;19:787–798. doi: 10.1111/j.1365-2583.2010.01035.x. [DOI] [PubMed] [Google Scholar]
  59. Veerana M., Kubera A., Ngernsiri L. Analysis of the vitellogenin gene of rice moth, Corcyra cephalonica Stainton. Arch. Insect Biochem. Physiol. 2014;87:126–147. doi: 10.1002/arch.21185. [DOI] [PubMed] [Google Scholar]
  60. Vieira P., Escudero C., Rodiuc N., Boruc J., Russinova E., Glab N., Mota M., De Veylder L., Abad P., Engler G., De Almeida Engler J. Ectopic expression of Kip-related proteins restrains root-knot nematode-feeding site expansion. New Phytol. 2013;199:505–519. doi: 10.1111/nph.12255. [DOI] [PubMed] [Google Scholar]
  61. Wang Y., Brent C.S., Fennern E., Amdam G.V. Gustatory perception and fat body energy metabolism are jointly affected by vitellogenin and juvenile hormone in honey bees. PLoS Genet. 2012;8 doi: 10.1371/journal.pgen.1002779. [DOI] [PMC free article] [PubMed] [Google Scholar]
  62. Whyard S. Insecticidal RNA, the long and short of it. Science. 2015;347:950–951. doi: 10.1126/science.aaa7722. [DOI] [PubMed] [Google Scholar]
  63. Younis A., Siddique M.I., Kim C.-K., Lim K.-B. RNA interference (RNAi) induced gene silencing: a promising approach of hi-tech plant breeding. Int. J. Biol. Sci. 2014;10:1150–1158. doi: 10.7150/ijbs.10452. [DOI] [PMC free article] [PubMed] [Google Scholar]
  64. Zhang X., Zhang J., Zhu K.Y. Chitosan/double-stranded RNA nanoparticle-mediated RNA interference to silence chitin synthase genes through larval feeding in the African malaria mosquito (Anopheles gambiae) Insect Mol. Biol. 2010;19:683–693. doi: 10.1111/j.1365-2583.2010.01029.x. [DOI] [PubMed] [Google Scholar]
  65. Zhang W.N., Xiao H.J., Liang G.M., Guo Y.Y., Wu K.M. Tradeoff between reproduction and resistance evolution to Bt-toxin in Helicoverpa armigera: regulated by vitellogenin gene expression. Bull. Entomol. Res. 2014;104:444–452. doi: 10.1017/S0007485314000066. [DOI] [PubMed] [Google Scholar]
  66. Zhang J., Khan S.A., Hasse C., Ruf S., Heckel D.G., Bock R. Full crop protection from an insect pest by expression of long double-stranded RNAs in plastids. Science. 2015;347:991–994. doi: 10.1126/science.1261680. [DOI] [PubMed] [Google Scholar]
  67. Zhao S., Fernald R.D. Comprehensive algorithm for quantitative real-time polymerase chain reaction. J. Comput. Biol. 2005;12:1047–1064. doi: 10.1089/cmb.2005.12.1047. [DOI] [PMC free article] [PubMed] [Google Scholar]
  68. Zhao Y.Y., Liu F., Yang G., You M.S. PsOr1, a potential target for RNA interference-based pest management. Insect Mol. Biol. 2011;20:97–104. doi: 10.1111/j.1365-2583.2010.01049.x. [DOI] [PubMed] [Google Scholar]

Associated Data

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

Supplementary Materials

Fig. S1

Pre-oviposition period in days of Anthonomus grandis microinjected with water, 500 ng of dsGUS and 500 ng of dsVtg.

mmc1.docx (25.5KB, docx)

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