A Sugar Gustatory Receptor Identified from the Foregut of Cotton Bollworm Helicoverpa armigera
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- Xu, W., Zhang, HJ. & Anderson, A. J Chem Ecol (2012) 38: 1513. doi:10.1007/s10886-012-0221-8
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Helicoverpa armigera (Hübner) is one of the most polyphagous and cosmopolitan pest species, the larvae of which feed on numerous important crops. The gustatory system is critical in guiding insect feeding behavior. Here, we identified a gustatory receptor from H. armigera, HaGR9, which shows high levels of identity to DmGR43a from Drosophila melanogaster and BmGR9 from Bombyx mori. Reverse transcriptase PCR (RT-PCR) revealed HaGR9 is highly expressed in larval foregut, with little or no expression in other chemosensory tissues. Membrane topology studies indicated that, like two previously studied B. mori GRs, BmGR8 and BmGR53, HaGR9 has an inverted topology relative to G protein-coupled receptors (GPCRs), an intracellular N-terminus and an extracellular C-terminus. Calcium imaging studies confirmed HaGR9 is a sugar receptor showing dose-dependent responses to D-galactose, D-maltose, and D-fructose. This highly-expressed foregut-specific gustatory receptor may contribute to the regulation of larval feeding behavior.
KeywordsHelicoverpa armigera Gustatory receptor Foregut Sugar receptor
Insects display strong feeding preferences. The gustatory system plays a critical role in guiding insect feeding behavior. Gustatory stimuli from the environment are recognized by gustatory receptors (GRs), which are located in the gustatory sensilla distributed throughout the insect body. Despite a growing body of knowledge about the insect gustatory system, little is known about the molecular and cellular mechanisms that underlie recognition of gustatory signals.
Insect GR genes were first identified from Drosophila melanogaster genome based on a bioinformatics approach (Clyne et al., 2000). These proteins were found by using algorithms to search for seven-transmembrane domains, but they are strikingly different and share no sequence similarity with vertebrate GRs (Clyne et al., 2000). Furthermore, the topology is inverted compared to the classic G-Protein Coupled Receptors (GPCRs) (Benton et al., 2006; Robertson and Wanner, 2006; Zhang et al., 2011). Insect gustatory receptors have been classified into “GR43a-like” (Sato et al., 2011), “CO2” (Jones et al., 2007), “sugar” ( Dahanukar et al., 2001, 2007; Chyb et al., 2003; Jiao et al., 2007, 2008; Slone et al., 2007), and “bitter” clades (Wanner and Robertson, 2008; Lee et al., 2009). To date, much attention has been paid to the gustatory receptors of Drosophila (Dahanukar et al., 2001, 2007; Dunipace et al., 2001; Slone et al., 2007; Jiao et al., 2007, 2008; Gardiner et al., 2008; Lee et al., 2010, 2012;; Weiss et al., 2011), but with rapid progress of genome projects on other insect species such as Anopheles gambiae (Hill et al., 2002), Bombyx mori (Wanner and Robertson, 2008), Tribolium castaneum (Richards et al., 2008), Apis mellifera (Robertson and Wanner, 2006), and Acyrthosiphon pisum (Smadja et al., 2009), the research is extending to a diverse range of species. However, rarely are studies on gustatory receptors carried out on serious agricultural pests such as Helicoverpa armigera.
The cotton bollworm, H. arimgera (Hübner), is one of the most destructive insect species. The larvae feed on numerous important cultivated crops such as cotton, peanuts, soybeans, and maize. Helicoverpa armigera is distributed widely in Asia, Africa, Europe, and Australia, and causes approximately US$ 2 billion annual losses worldwide despite the use of insecticides (Sharm, 2001). The study of the H. armigera gustatory system may elucidate the underlying mechanisms that influence its feeding behavior and help to develop new insect-control strategies for such polyphagous pests.
In this study, we report the first gustatory receptor, HaGR9, from H. armigera. Further, we expressed HaGR9 in insect cells, and functionally characterized its topology and responses to substrates relevant to feeding behavior.
Methods and Materials
Insects and Cell Culture
Helicoverpa armigera were fed artificial food in the laboratory under conditions described previously (Akhurst et al., 2003). Spodoptera frugiperda Sf9 cells (Invitrogen, USA) were cultured in Sf-900 II SFM medium according to the manufacturer’s instructions. Drosophila melanogaster Schneider’s S2 cells were maintained as a suspension culture in Drosophila Schneider’s medium (Invitrogen, USA) adapting cells from 10 % fetal bovine serum (FBS, Invitrogen, USA) to 1 % FBS according to the Serum Halving Method. Cells were incubated at 28 °C and subcultured to a final density of 1 ~ 2 x 106 cells/ml when they reached a density of ~6-10 x 106 cells/ml (Mather and Roberts, 1998).
RNA Isolation, cDNA Synthesis and PCR
Approximately fifty antennae, fifty mouthparts, ten foreguts, five midguts, and ten hindguts were dissected from mixed sex 5th instars. Approximately fifty tarsi and antennae were collected from male and female adults (d 1 – d 5). All collected tissues were stored immediately in RNA Later (Invitrogen, USA). Total RNA was purified using RNeasy (Qiagen, USA) or RNAqueous (Ambion, USA) kits according to the manufacturer’s protocol. The purified RNA was treated with DNase I, quantified, and qualified by a NanoDrop ND-2000 (Thermo Scientific, USA), and a 2100 Bioanalyzer (Agilent, USA). The cDNA was synthesized using a SMART RACE (Rapid Amplification of cDNA End) cDNA amplification kit (BD Sciences, Clontech, USA) with SuperScript II reverse transcriptase (Invitrogen, USA), according to the manufacturer’s manual. RT-PCR was performed for 40 cycles with an annealing temperature of 55 °C with primers (HaGR9-F CGCATGCTTTTATACTTAGG and HaGR9-R TCTCAATTGTCGTATCTTTGG). These primers spanned the known cDNA sequence and resulted in a 1300 bp fragment. 5' RACE PCR was performed according to the SMART RACE cDNA amplification kit manual with the universal primer and gene-specific primers (HaGR9-1 GCTGACCGTGAAGCCATTGCTGCGAG and HaGR9-2 CTTGAGATCCTAAGTATAAAAGCATGCGCTCCGC). PCR products were purified using QIAquick gel extraction reagents (Qiagen, USA), cloned into the pGEM-T Easy vector (Promega, USA) and sequenced.
Sf9 or S2 cells were subcultured on poly-L-Lysine-coated coverslips in 6-well plates and transfected with 1 μg plasmid constructs and 6 μl of Fugene HD transfection reagent (Promega, USA) in 200 μl of medium per well. After 48 h post transfection, immunofluorescence under permeabilized and non-permeabilized conditions were performed as previously described (Zhang et al., 2011).
Sf9 cells were plated into 12-well plates and left to settle for 20 min before being transfected with 500 ng of plasmid construct (PIB/V5-His vector as control, HaGR9 or MYC-epitope tagged HaGR9) and 3 μl of Fugene HD transfection reagent (Promega, USA) in 100 μl of medium per well. After 48 h post transfection, calcium imaging and data analysis were performed using a modification of a previously described method (Zhang et al., 2011; Anderson et al., 2009).
The tastants tested were D-fructose, D-galactose, D-glucose, sucrose, D-maltose, D-trehalose, and myo-inositol with purities ≥ 99 %. D-galactose was purchased from Amresco (USA), whereas the others were purchased from Sigma-Aldrich (USA). The maximum final concentration of tastants in each well was 50 mM. For dose-dependent calcium imaging studies, D-fructose, D-galactose, and D-maltose were diluted with HBSS buffer (Zhang et al., 2011).
Molecular Cloning and Expression Profile of HaGR9
Topology of HaGR9
HaGR9 Can Detect Three Sugars
In order to determine whether the modified GRs used for topology studies retained functionality, identical calcium imaging experiments were performed (Fig. 4c). Cells transfected with native HaGR9 and N-terminally labelled HaGR9 (MYC:HaGR9) both showed significant responses when compared to empty vector controls (Fig. 3b). However, there were no statistically significant differences in responses of C-terminally labelled HaGR9 (HaGR9:MYC) and the negative control. We cannot rule out the possibility that the labelled HaGR9 renders the protein non-functional due to the incorrect insertion of the receptor into the membranes. A previous study on BmGR8 showed similar results where the N-terminally labelled tag did not significantly affect the receptor’s function to detect myo-inositol (Zhang et al., 2011). However the C-terminally tagged receptor showed barely detectable function. These results indicate that the C-terminus of GRs is critical for their correct localisation and/or function.
Our phylogenetic analysis (Fig. 2) demonstrates that GR43a is a conserved GR that exists in almost all insect species (20-64 % amino acid identity), and therefore, GR43a may have a conserved function across insect orders. Our RT-PCR results (Fig. 1) indicate that HaGR9, a GR43a homologue, is highly transcribed in the larval foregut of H. armigera, where food is stored before moving into the midgut for digestion. A behavioral study on the blowfly, Phormia regina, showed the involvement of the foregut in the regulation of sugar taste threshold (Gelperin, 1966), with high sugar concentrations prolonging foregut stimulation and elevating the threshold for stimulation. Fructose and other sugars were shown to produce this behavioral effect when acting via the postulated foregut receptor (Gelperin, 1966). It is likely that HaGR9 may be a foregut receptor that is involved in the regulation of foregut stimulation and taste threshold in the digestive system, as well as in sugar sensing in external tissues. BmGR9, a GR43a ortholog from B. mori, also was shown to have high expression in the gut and respond to fructose significantly in vitro (Sato et al., 2011).
Recent studies in Drosophila show 14 gustatory receptors are expressed in the Drosophila gut, including GR43a, the fructose receptor, and GR64a from the sugar receptor family (Park and Kwon, 2011). The colocalization of the GR-Gal4 drivers with the regulatory peptides neuropeptide F (NPF), locustatachykinin (LTK), and diuretic hormone 31 (DH31) also was observed in this study (Park and Kwon, 2011), providing further evidence that gustatory receptors may be involved in the detection and regulation of nutrients during digestion. Gastrointestinal chemosensation is an emerging field in humans and other mammals, where gustatory receptors expressed in the luminal epithelium are believed to be acting as nutrient sensors to guide digestive processes, to protect from harmful substances, and to regulate food uptake (Sclafani, 2007; Breer et al., 2012). Therefore, an improved understanding of the intestinal chemosensation mechanisms may assist in the development of novel treatments of eating disorders, obesity, diabetes, intoxication, and inflammation (Breer et al., 2012). Insect digestive systems have many similarities to those of vertebrates in basic structure, cell types, and development, and may provide a simple system to study intestinal chemosensation (Park and Kwon, 2011).
To study the topologies of HaGR9, we used both Sf9 and S2 cell systems. Both gave identical results, showing HaGR9, a member of the DmGR43a-like subfamily, has an intracellular N-terminus and an extracellular C-terminus. This result is consistent with previous studies on other insect gustatory receptors from the sugar and bitter subfamilies (Zhang et al., 2011) and also with odorant receptors (ORs) (Benton et al., 2006; Lundin et al., 2007; Smart et al., 2008), which have been shown to be an evolutionarily related family (Robertson et al., 2003). Previous studies suggest that the GR gene family is an ancient chemoreceptor family from which a branch of OR genes subsequently evolved (Robertson et al., 2003). Insect ORs are thought to function as odor-gated ion channels (Sato et al., 2008), although a modulatory role for G proteins and second messengers is likely to be involved in the downstream functions (Benton, 2008; Nakagawa and Vosshall, 2009). Here, we have shown that HaGR9 shares the same inverted topology as insect ORs, indicating that insect GRs are not classical GPCRs and may function in a way similar to insect ORs.
Genetic studies on Drosophila have revealed that coexpression of multiple GRs is essential for the detection of compounds like CO2, caffeine, theophylline, sucrose, D-glucose, and trehalose (Dahanukar et al., 2001,2007; Moon et al., 2006; Jones et al., 2007; Jiao et al., 2008 ). However, in vitro studies with BmGR8 (Zhang et al., 2011), BmGR9 and DmGR43a (Sato et al., 2011) have shown their responses to myo-inositol or D-fructose did not require the coexpression of other GRs, which is consistent with the HaGR9 studies reported here. We cannot conclude that HaGR9 can function without a co-receptor in vivo because Sf9 cells may express a native receptor that can assist HaGR9 in the detection of the three tested sugars. Orco, a highly-conserved OR co-receptor, was detected in Sf9 cells in a previous study (Smart et al., 2008), and is probably involved in the correct functioning of odorant receptors in the assay. In other in vitro studies using Xenopus oocytes, BmGR9 and DmGR43a showed a response only to D-fructose but not to other sugar tastants (Sato et al., 2011). HaGR9, the orthologous gene of BmGR9 and DmGR43a, showed responses to D-fructose, D-galactose, and D-maltose in our study. There may be two possibilities for these differences. First, HaGR9 shows 69 % and 26 % identity to BmGR9 and DmGR43a at the amino acid level, so it is possible the ligand binding capabilities differ. Second, Sf9 cells and Xenopus oocytes are different cell systems that may contain divergent components, leading to different activities and responses in the assay. To date, four major systems have been used to study insect chemosensory receptors: the “empty neuron” from Drosophila (Dobritsa et al., 2003), Xenopus oocytes with patch clamp technologies (Sakurai et al., 2004), human cells (HEK293T cells; Sato et al., 2008), and Lepidoptera cells (Sf9 cells) with calcium imaging (Smart et al., 2008; Anderson et al., 2009). We believe Sf9 cells are most suitable for studying Lepidoptera receptors as they are derived from a lepidopteran species, and therefore, are likely to more closely resemble in vivo H. armigera receptor function.
In summary, we here identified a novel insect-specific and insect-conserved gustatory receptor from H. armigera, and named it HaGR9. HaGR9 shows high homology to GR43a, and demonstrates high levels of transcription in the foregut of larvae. Topology study reveals this receptor has an intracellular N-terminus and an extracellular C-terminus, which is the same as previous studied insect GRs and ORs. In addition, HaGR9 shows dose-dependent responses to D-galactose, D-maltose, and D-fructose. Further immunohistochemistry studies to localize this receptor to specific cell types may shed light on the function of sugar receptors in the larval foregut. To study HaGR9 function in vivo, RNAi (Ozaki, et al., 2011) may be a powerful technique to inhibit its expression and perform feeding behavior assay. Studies on agricultural pests like H. armigera gustatory receptors may not only help us understand the underlying molecular mechanism of insect feeding behavior, but also help us develop new strategies to control this destructive species. For example, the studies on GR may direct the search for new attractants or repellents (Lee et al., 2010) from host plants that can be applied in pest control.
We thank Joel Armstrong for providing H. armigera, Alexie Papanicolaou for bioinformatics help, Peter Campbell for RNA preparation. We also thank Alexie Papanicolaou, Bradley Stevenson, and Mira Dumancic for critically reading the manuscript. This work was supported by a CSIRO Julius Award (R-00094-01-005) and a CSIRO Office of the Chief Executive (OCE) post-doctoral fellowship.
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