Honey bees (Apis mellifera) provide a system for studying social and food-related behavior. A caste of workers performs age-related tasks: young bees (nurses) usually feed the brood and other adult bees inside the nest, while older bees (foragers) forage outside for pollen, a protein/lipid source, or nectar, a carbohydrate source. The workers' transition from nursing to foraging and their foraging preferences correlate with differences in gustatory perception, metabolic gene expression, and endocrine physiology including the endocrine factors vitellogenin (Vg) and juvenile hormone (JH). However, the understanding of connections among social behavior, energy metabolism, and endocrine factors is incomplete. We used RNA interference (RNAi) to perturb the gene network of Vg and JH to learn more about these connections through effects on gustation, gene transcripts, and physiology. The RNAi perturbation was achieved by single and double knockdown of the genes ultraspiracle (usp) and vg, which encode a putative JH receptor and Vg, respectively. The double knockdown enhanced gustatory perception and elevated hemolymph glucose, trehalose, and JH. We also observed transcriptional responses in insulin like peptide 1 (ilp1), the adipokinetic hormone receptor (AKHR), and cGMP-dependent protein kinase (PKG, or “foraging gene” Amfor). Our study demonstrates that the Vg–JH regulatory module controls changes in carbohydrate metabolism, but not lipid metabolism, when worker bees shift from nursing to foraging. The module is also placed upstream of ilp1, AKHR, and PKG for the first time. As insulin, adipokinetic hormone (AKH), and PKG pathways influence metabolism and gustation in many animals, we propose that honey bees have conserved pathways in carbohydrate metabolism and conserved connections between energy metabolism and gustatory perception. Thus, perhaps the bee can make general contributions to the understanding of food-related behavior and metabolic disorders.
Communication between internal energetic state and taste perception helps animals control food uptake and maintain normal life functions. Honey bees provide an animal model for studies of food-related behavior, such as the role of taste sensitivity in choice-making between carbohydrate- and protein-rich foods (nectar versus pollen for honey bees). A young bee's taste sensitivity to sugar predicts when she begins foraging later in life and influences her choice of foods. Vitellogenin (Vg), a protein produced in the bee's fat cells, and juvenile hormone (JH) influence honey bee taste perception and food-related behavior. Vg and JH are connected by a feedback loop, and we perturbed this Vg–JH circuit using a double gene knockdown approach. In response, bees became more sensitive to sugar, had higher sugar levels in the blood, and died faster during starvation, while lipid levels remained constant. We identified that insulin like peptide 1 (ilp1), the adipokinetic hormone receptor (AKHR), and PKG (the foraging gene) were altered in the bees' fat cells after the perturbation. Our study demonstrates a new role for the Vg–JH circuit in honey bee carbohydrate metabolism, and it places Vg–JH upstream of the three metabolic genes that have conserved roles in food-related behaviors and energy metabolism in many animals.
Citation: Wang Y, Brent CS, Fennern E, Amdam GV (2012) Gustatory Perception and Fat Body Energy Metabolism Are Jointly Affected by Vitellogenin and Juvenile Hormone in Honey Bees. PLoS Genet 8(6): e1002779. doi:10.1371/journal.pgen.1002779
Editor: Eric Rulifson, University of California San Francisco, United States of America
Received: January 16, 2012; Accepted: May 7, 2012; Published: June 28, 2012
Copyright: © 2012 Wang et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding: This research was supported by the Research Council of Norway (180504, 185306, 191699), the PEW Charitable Trust, and the National Institute on Aging (NIA P01 AG22500). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
Honey bees (Apis mellifera), with their complex social structure, remarkably plastic physiology and well-studied food-related activities, provide a model for connections between behavior and metabolism. Honey bee workers are essentially sterile female helpers that perform different tasks based on their age. In the first 2–3 weeks of adult life, workers called nurses care for the brood and other nestmates, construct wax combs and clean the nest. In roughly their 4th week of life, workers go through a behavioral transition and begin foraging outside the nest . As foragers, workers can bias food-collection toward proteins (pollen) or carbohydrates (nectar). The transition to foraging behavior is associated with changes in gustatory perception , food consumption, hormone levels – and expression of genes associated with nutrient sensitivity and metabolism in workers –. Therefore, studies of honey bee behavioral physiology and genetics may reveal information of general interest in food-related behavior.
Gustatory perception is a predictor of honey bee behaviors such as how quickly a worker transitions from nursing to foraging (i.e., her age at foraging onset) and her foraging bias toward nectar vs. pollen (sources of carbohydrate vs. protein/lipid) , . A worker's gustatory perception, or responsiveness, can be quantified by a standard method that involves monitoring her reflex response to an ascending series of sucrose concentrations . Workers that respond to low sucrose concentrations have high gustatory responsiveness, and they forage at younger ages and collect more pollen and less nectar than bees with low gustatory responsiveness . Gustatory sensitivity can also be an indicator of the bee's energy status: a worker bee with higher gustatory responsiveness is hungrier , and consumes more food (B. Rascon, G.V. Amdam, unpublished data) and dies faster under starvation conditions (M. Speth, G.V. Amdam, unpublished data) compared to a worker with lower gustatory responsiveness.
The social behaviors of honey bees are associated with complex energetic physiologies, suggesting that food consumption and food-related behavior are linked to energy homeostasis. Nurse bees, which feed on pollen and produce highly proteinaceous food secretions, have more abdominally stored proteins ,  and lipids than foragers . Experimental depletion of these stores triggers foraging behavior , . The expression of insulin pathway genes  and the adipokinetic hormone (AKH) gene  also differs between the two behavioral stages. Similar differences are found between foragers with different food preferences: compared to nectar foragers, pollen foragers have higher 3-phosphoinositide-dependent kinase 1 (PDK1) transcript levels in the fat body (a functional homolog to the liver and white fat of vertebrates) . PDK1 is a central kinase in the conserved insulin/insulin-like, epidermal growth factor, and target of rapamycin (TOR) nutrient signaling pathways , and PDK1 has been genetically linked to foraging behavior . Moreover, down-regulation of the insulin receptor substrate (IRS) gene in the fat body encourages foragers to collect more pollen and less nectar. This result provides a causal link between nutrient sensing and foraging preference in honey bees .
Established explanatory models of the nurse to forager transition of honey bees focus on the endocrine factors juvenile hormone (JH) and vitellogenin (Vg). JH is secreted from paired corpora allata neurohemal organs posterior to the honey bee brain , and affects development, maturation, and social behavior. Topical application of JH on nurse bees increases their gustatory responsiveness and causes an early transition to foraging , , . Vg is a yolk protein precursor produced by the fat body , . Vg has several functions in workers, including immune responses , oxidative stress resistance , and the production of proteinaceous secretions by nurses . Vg operates in a feedback loop with JH, and appears to slow foraging onset by suppressing JH titer . Down-regulation of Vg in nurse bees increases JH levels , enhances gustatory responsiveness , accelerates onset of foraging and encourages bees to collect nectar .
JH and Vg covary with energy metabolism in several insect species. In the fruit fly Drosophila melanogaster and the mosquito Aedes aegypti, insulin/insulin-like signaling is a major metabolic regulator that influences the production of yolk proteins like Vg – as well as JH synthesis . Changing JH levels can in turn influence many metabolic processes (reviewed by Flatt et al. ). In honey bees and mosquitoes, Vg synthesis is enhanced by protein consumption  and inhibited by experimental interference of TOR , , a key energy sensing molecule (reviewed by Neufeld ). The TOR pathway crosstalks with insulin/insulin-like signaling  and is upstream of JH in honey bees .
Many studies, therefore, suggest connections between energy metabolism and nutrient pathways involving Vg and JH that can influence food-related behavior in honey bees (reviewed by Ament et al. ). However, it is unclear whether and how these connections are causal. For example, vg gene expression is influenced by TOR , but does not respond to knockdown of IRS, a central component of insulin/insulin-like signaling . Depletion of JH by surgical removal of the corpora allata, furthermore, does not block foraging behavior, but can decrease flight muscle metabolic rate and alter worker flight behavior . Overall, very few experiments have perturbed both Vg and JH. Such experiments can clarify connections between these factors, as well as implication for energy metabolism and food-related behavior.
Here, we manipulated vg and a putative receptor to JH separately and simultaneously in honey bee workers. We monitored the behavioral predictor, gustatory responsiveness, as well as starvation resistance; tested hemolymph carbohydrates and fat body lipid levels, and screened fat body tissue for expression of central metabolic genes. We predicted that gustatory perception, and carbohydrate and lipid metabolism would be influenced by the Vg-JH regulatory module. Manipulation of these two factors was achieved by knocking down vg and ultraspiracle (usp) separately and simultaneously in the fat body. Vg is the only Vg-encoding gene in honey bees , while the usp gene product (Usp) is a nuclear hormone receptor intimately involved in JH signaling and a strong candidate for a JH receptor –. Although there is more cumulative evidence for methoprene tolerant (Met) being a JH receptor in Drosophila, the honey bee usp gene has a documented function in JH signaling , , and was used here because JH (a terpenoid compound) cannot currently be targeted directly by gene knockdown.
Our data show that the double knockdown of vg and usp causes a mobilization of carbohydrates without changing the amount of stored lipid in worker bees. This result suggests a specific regulatory role of the Vg-JH module during the transition from nursing to foraging in workers. Conserved metabolic pathways (insulin, AKH and PKG) are influenced by the module, and we propose they may link energy metabolism to gustatory perception in honey bees like they do in many other animals.
Validation of RNA interference (RNAi)–mediated gene knockdown
Wild-type newly emerged worker bees (<24 h old) injected with double stranded RNA (dsRNA) against vg, usp or both (double knockdown) were contrasted to workers injected with an established control solution of gfp dsRNA , –. The gfp gene encodes a green fluorescent protein (GFP) that is not present in bee genomes. Honey bee gene knockdown protocols are typically tested in the laboratory , , , where the JH response to vg knockdown was also previously observed , . Consequently, knockdown and control bees were kept under laboratory conditions to verify knockdown and measure JH.
Six days after treatments, vg and usp transcript abundances were measured in individual samples of fat body (n = 21–22), which is the most accessible tissue to dsRNA in adult honey bees . Both vg and usp had been significantly down-regulated by RNAi (Factorial ANOVA, vg mRNA: Fvg- (1, 83) = 47.8701, p<0.0001; Fusp- (1, 83) = 1.1494, p = 0.2868; and usp mRNA: Fvg- (1, 83) = 3.117, p = 0.0812; Fusp- (1, 83) = 40.603, p<0.0001). There was no significant interaction between the vg and usp knockdown treatments with regard to vg gene expression (Factorial ANOVA, vg RNA: Fvg- & usp- (1, 83) = 0.9915, p = 0.3223), whereas significant interaction between vg and usp RNAi on usp transcript abundance suggests that the effect of usp RNAi on usp expression was strengthened by simultaneous vg RNAi (Factorial ANOVA, usp mRNA: Fvg- & usp- (1, 83) = 6.1010, p = 0.0155). Post-hoc analyses revealed that vg single knockdowns had significantly reduced vg transcript levels (Fisher LSD: p (vg- vs. gfp)<0.0001), while the level of usp mRNA did not change (Fisher LSD: p (vg- vs. gfp) = 0.6217) (Figure 1). Similarly, usp single knockdowns had reduced usp expression (Fisher LSD: p (usp- vs. gfp)<0.0001), while vg remained unchanged (Fisher LSD: p (vg- vs. gfp) = 0.9573). The double knockdown treatment caused down-regulation of both vg and usp (Fisher LSD, vg mRNA: p (vg-/usp- vs. gfp)<0.0001; for usp mRNA: p (vg-/usp- vs. gfp)<0.0001) (Figure 1). The expression level of usp, moreover, was significantly lower in double knockdowns than in usp single knockdowns (Fisher LSD: p (vg-/usp- vs. usp-) = 0.0034), while the vg mRNA level did not differ between the vg single knockdown and double knockdown groups (Fisher LSD: p (vg-/usp- vs. usp-) = 0.1451). These results validated our vg and usp knockdowns, and showed that double knockdowns experienced stronger suppression of usp than usp knockdowns. Usp RNAi efficacy, therefore, may be enhanced when vg and usp are targeted together (Figure 1).
For validation, RNA was obtained from the fat body tissue of 7-day old bees (Mean ± s.e., n = 21–22). The abbreviations vg-, usp-, vg-/usp- and gfp indicate vg single knockdown, usp single knockdown, vg and usp double knockdown, and gfp control, respectively. By vg RNAi, vg expression was significantly reduced without a change in usp. By usp RNAi, usp was significantly reduced without change in vg. Both vg and usp transcripts were reduced by vg and usp double knockdown and the reduction of usp in double knockdowns was bigger than with the single usp. Different letters above bars denote significant differences between treatment groups (p<0.05).
Hemolymph JH titer
The workers' JH titer was significantly affected by both vg and usp RNAi when summing over the entire dataset from knockdowns and controls (Factorial ANOVA: Fvg- (1, 55) = 8.0825, p = 0.0063; Fusp- (1, 55) = 8.0825, p = 0.0429; n = 13–16). There was also a significant interaction effect between the vg and usp knockdown treatments on JH (Factorial ANOVA: Fvg- & usp- (1, 55) = 4.7481, p = 0.0336). A post-hoc analysis revealed that the double knockdown caused a substantial increase in JH (Figure 2; Fisher LSD: p (vg-/usp- vs. gfp) = 0.0004, p (vg-/usp- vs. usp-) = 0.0008, p (vg-/usp- vs. vg-) = 0.0024). In contrast, the separate knockdowns of vg and usp appeared to not affect the JH titer (Fisher LSD: p (vg- vs. gfp) = 0.5524, p (vg- vs. usp-) = 0.5950, p (usp- vs. gfp) = 0.9751, p (usp- vs. vg-) = 0.5950).
The circulating JH level significantly increased in vg single knockdown bees, as well as in vg and usp double knockdowns (Mean ± s.e., n = 13–16). Double knockdowns (vg-/usp-) had the highest JH titers among all treatment groups (p<0.05).
It was previously shown that vg knockdown can increase the JH level in honey bees , . Therefore, we also did a targeted analysis to evaluate whether this effect could be visible in our data. We used a Student's t-test to compare the JH level of the vg and usp single knockdowns with that of the gfp controls. The test suggested that usp RNAi did not affect JH (Student's t-test: t (1,27) = 0.0705, p = 0.9443), while vg RNAi caused a significant increase in the hormone titer (Student's t-test: t (1, 25) = −0.7512, p = 0.0461). This response to vg down-regulation supports the repeatability of previous experiments and the hypothesis that vg can suppress JH , . The significant interaction we detected between the vg and usp knockdown treatments further suggests that the release of JH which follows after vg knockdown becomes enhanced by simultaneous usp RNAi.
After the initial validation of RNAi efficacy in the laboratory, we moved forward to testing gustatory responsiveness, metabolic biology, physiology, and gene expression in the field. Natural honey bee colonies were preferred for these experiments since the sensory and metabolic traits of workers can be sensitive to social and nutritional factors that are difficult to fully account for in the laboratory , . Single and double gene knockdowns were prepared like before, and the workers were transferred to colonies after dsRNA injection.
After six days, the knockdowns (vg-, usp-, vg-/usp-) and controls (gfp) were retrieved and exposed to water and a series of sucrose concentrations in the laboratory to measure their proboscis extension response (PER) , . Individual bees were assigned a gustatory response score (GRS) based on a standard protocol . We found the main effects of vg and usp RNAi had significant impact on GRS (Factorial ANOVA: Fvg- (1, 207) = 3.879, p = 0.0497; Fusp- (1, 207) = 6.695, p = 0.0104; n = 33–65). Unlike the JH results, there was no interaction effect between vg and usp RNAi on GRS (Factorial ANOVA: Fvg- & usp- (1, 207) = 1.829, p = 0.1777). Our post-hoc analysis (Figure 3) revealed that the GRSs of the vg and usp single knockdowns were similar to that of controls (Fisher LSD: p (vg- vs. gfp) = 0.6296 and p (usp- vs. gfp) = 0.3315). The double knockdown workers, on the other hand, had elevated GRSs (Fisher LSD: p (vg-/usp- vs. gfp) = 0.0027, p (vg-/usp- vs. usp-) = 0.0310, p (vg-/usp- vs. vg-) = 0.0116). These results show that honey bee gustatory responsiveness is heightened when vg and usp are knocked down together, and suggest a joint effect in the regulation of this sensory modality by Vg and JH.
The gustatory responsiveness score (GRS) was measured in the laboratory using the bees' proboscis extension response (PER). High GRS shows that bees responded to low sucrose concentrations, indicating a high gustatory sensitivity. Double knockdown bees (vg-/usp-) showed significantly increased gustatory responsiveness (Mean ± s.e., n = 33–65, p<0.05).
To obtain a relative measure of the workers' metabolic reserves , we quantified their starvation resistance immediately after the GRS assay. Mortality was recorded every 3 hours.
Survival during starvation was significantly affected by RNAi (Figure 4; Chi-square = 14.1060, df = 3, p = 0.0028, n = 31–60). The double knockdown bees survived significantly shorter than the controls and single knockdown groups (Cox's F-Test: p (vg-/usp- vs. gfp) = 0.0033, p (vg-/usp- vs. vg-) = 0.0022 and p (vg-/usp- vs. usp-) = 0.0405), while the survival of single knockdowns and controls was not statistically different (Cox's F-Test: P (vg- vs. gfp) = 0.3532 and p (usp- vs. gfp) = 0.0968). These findings suggest that the vg and usp double knockdown phenotype has a different metabolic biology than the other treatment groups. Such differences might include an increased mobilization rate and/or reduced amounts of metabolic reserves like circulating carbohydrates ,  and abdominal lipid stores in the double knockdowns, causing them to be more susceptible to starvation.
After quantification of gustatory responsiveness (Figure 3), the bees were monitored for 3 days under starvation stress. Survival was recorded every 3 h. The single knockdown of the vg or usp gene did not affect the survival of the worker bees, whereas double knockdown (vg/usp) significantly shortened worker life span (n = 31–60, p<0.05).
Circulating carbohydrates in hemolymph and lipid reserves in fat body
We next measured the bees' blood (hemolymph) levels of glucose and trehalose  and the amount of lipids in their fat bodies to obtain more detailed information about their metabolic reserves. We found a significant main effect of vg RNAi on the glucose and trehalose titers of the bees (n = 21–23) (Figure 5A–5C; Factorial ANOVA: glucose, Fvg- (1, 74) = 4.4310, p = 0.0387; Fusp- (1, 74), = 2.0672, p = 0.1547; Fvg- & usp- (1, 74), = 3.5384, p = 0.0639; trehalose, Fvg- (1, 74) = 5.6163, p = 0.0204; Fusp- (1, 74), = 1.1438, p = 0.2883; F vg- & usp- (1, 74), = 1.0946, p = 0.2989). In contrast, the fat body lipid content was unchanged by RNAi (Figure 6; Factorial ANOVA: Fvg- (1, 60), = 0.2328, p = 0.6312; Fusp- (1, 60), = 0.2447, p = 0.6226; F vg- & usp- (1, 60), = 2.0314, p = 0.1593; n = 18–19).
Hemolymph titers of (A) glucose, (B) trehalose and (C) combined glucose and trehalose. The titers in vg or usp single gene knockdown bees did not change compared to gfp control bees. In double knockdown bees (vg/usp), the glucose titer was significantly increased (Mean ± s.e., n = 21–23, p<0.05), the trehalose titer showed a tentative increase (p = 0.0566) and the cumulative titer of glucose and trehalose was significantly elevated (p<0.05).
Abdominal lipid content was measured in the same bees that were used to measure hemolymph carbohydrate levels. Lipid content was not affected by the single or double knockdown of vg and usp (Mean ± s.e., n = 18–19, p<0.05).
A post-hoc analysis revealed that double knockdowns had a higher glucose titer than the controls and both single knockdowns (Fisher LSD: p (vg-/usp- vs. gfp) = 0.0241, p (vg-/usp- vs. vg-) = 0.0245, p (vg-/usp- vs. usp-) = 0.0106), as well as a higher trehalose titer than the controls and the usp single knockdowns (Fisher LSD: p (vg-/usp- vs. gfp) = 0.0262, p (vg-/usp- vs. usp-) = 0.0219) (Figure 5). Neither of the single knockdowns significantly affected the glucose (Fisher LSD: p (vg- vs. gfp) = 0.9451 and p (usp- vs. gfp) = 0.8224) or trehalose titer (Fisher LSD: p (vg- vs. gfp) = 0.4495 and p (usp- vs. gfp) = 0.9661). A similar pattern held when using a combined measure of major sugar contents in the blood, with significant main effect of vg RNAi (Factorial ANOVA: Fvg- (1, 74) = 7.4914, p = 0.0078; Fusp- (1, 74), = 2.1354, p = 0.1482; Fvg- & usp- (1, 74), = 2.7208, p = 0.1033; n = 21–23) and the strongest influence of the double knockdown (Post-hoc, Fisher LSD: p (vg-/usp- vs. gfp) = 0.0074, p (vg-/usp- vs. vg-) = 0.0304, p (vg-/usp- vs. usp-) = 0.0042).
Collectively these findings suggest that the combined knockdown of vg and usp has consequences for worker carbohydrate metabolism, measured as the mobilization of the major sugars to the blood. It is possible that vg is the main driver of these changes since usp manipulation had no discernable effects in single knockdowns. The effect of vg RNAi on circulating carbohydrate levels would thus be enhanced by usp RNAi in honey bees.
Responses in associated gene networks
The fat body is the primary storage organ for metabolic reserves in bees and most insects in general . To evaluate how relevant gene networks in this tissue responded to vg and usp knockdown, we did a targeted expression test of insulin like peptide 1 (ilp1) and 2 (ilp2), which encode the proposed ligands of the insulin receptors of honey bees . Additional measures were taken of cGMP-dependent protein kinase (PKG, also called the ‘foraging gene’ or Amfor), JH esterase (JHE), adipokinetic hormone gene (AKH) and its receptor (AKHR). PKG is associated with feeding behavior  and gustatory responsiveness  in Drosophila, division of labor in honey bees , , as well as energy metabolism and food intake in vertebrates , . Expression of JHE, which encodes the primary JH-degrading enzyme in honey bees , was measured to determine whether the elevated JH titers in double knockdowns were associated with this gene. AKH (JN983824) and AKHR play conserved roles in glucose and lipid homeostasis. AKH encodes a peptide hormone (adipokinetic hormone, AKH), which is a glucagon analog primarily secreted by the corpora cardiaca (CC) complex at the base of the honey bee brain. We therefore examined levels of AKH and AKHR in the head capsule in addition to levels in the fat body.
We found a significant main effect of vg RNAi on ilp1 (Factorial ANOVA: Fvg- (1, 60) = 5.3938, p = 0.0236), while its gene expression remained unchanged after usp RNAi (Fusp- (1,60) = 1.0064, p = 0.3198; Fvg- & usp- (1, 60), = 0.1744, p = 0.6777; n = 16). Compared to single knockdowns and controls, the double knockdown bees expressed less ilp1 (Figure 7; post-hoc, Fisher LSD: p (vg-/usp- vs. gfp) = 0.0219, p (vg-/usp- vs. vg-) = 0.3191, p (vg-/usp- vs. usp-) = 0.0574). The main effect of vg RNAi had no significant influence on PKG expression, while usp RNAi showed a tendency to reduce PKG (Factorial ANOVA: Fvg- (1, 53) = 1.7569, p = 0.1907; Fusp- (1,53) = 2.8860, p = 0.0952; Fvg- & usp- (1, 53), = 2.3039, p = 0.1350; n = 16). Our post-hoc analysis revealed that PKG mRNA levels were significantly reduced in double knockdowns (Figure 7; Fisher LSD, p (vg-/usp- vs. gfp) = 0.0389, p (vg-/usp- vs. vg-) = 0.0348, p (vg-/usp- vs. usp-) = 0.0582). In contrast, none of the RNAi treatments affected the expression of either ilp2 (Factorial ANOVA: Fvg- (1, 58) = 0.4949, p = 0.4846; Fusp- (1,58) = 1.8074, p = 0.1841; Fvg- & usp- (1, 58), = 1.1661, p = 0.2847; n = 16)(Figure 7) or JHE (Factorial ANOVA: Fvg- (1, 60) = 0.4528, p = 0.5036; Fusp- (1,60) = 0.1323, p = 0.7173; Fvg- & usp- (1, 60), = 0.17460, p = 0.6763; n = 16) (Figure 7).
Relative expression of (A) Insulin-like peptide 1 (ilp1), (B) Insulin-like peptide 2 (ilp2), (C) cGMP-dependent protein kinase (PKG) and (D) Juvenile hormone esterase (JHE). The double knockdown of vg and usp resulted in reduced ilp1 and PKG transcripts levels (Mean ± s.e., n = 16, p<0.05).
Although honey bee AKH is a predicted gene (Genbank: GB30028-RA) , several AKH splice variants (likely with different functions) are verified in insects such as Tribolium  and Bombyx .We cloned this gene to learn its architecture in A. mellifera, and our analysis validated a single AKH preprohormone transcript (Figure S1, GenBank: JN983824), which we used in our expression screen. RNAi did not affect AKH in fat body (Figure 8: Factorial ANOVA: Fvg- (1, 44) = 0.0342, p = 0.8542; Fusp- (1, 44) = 0.1180, p = 0.7329; Fvg- & usp- (1, 44), = 0.0219, p = 0.8829, n = 12) or head (Factorial ANOVA: Fvg- (1, 43) = 0.0920, p = 0.7626; Fusp- (1, 43) = 1.9350, p = 0.1714; Fvg- & usp- (1, 43), = 0.1650, p = 0.6883; n = 11–12). However, we detected significant main effects of both vg and usp RNAi on fat body AKHR levels (Factorial ANOVA: Fvg- (1, 44) = 6.7029, p = 0.0130; Fusp- (1, 44) = 1.8.5670, p = 0.0054; n = 12). The interaction effect between vg and usp RNAi was also significant in the case of AKHR (Factorial ANOVA, Fvg- & usp- (1, 44), = 34.3282, p<0.0001). Here, a post-hoc analysis showed AKHR was elevated in double knockdowns compared to single knockdowns and gfp controls (Fisher LSD, p (vg-/usp- vs. gfp) = 0.0003, p (vg-/usp- vs. vg-)<0.0001, p (vg-/usp- vs. usp-)<0.0001), while vg (Fisher LSD, p (vg- vs. gfp) = 0.0255, p (vg- vs. vg-/usp-)<0.0001) and usp single knockdowns (Fisher LSD, p (usp- vs. gfp) = 0.0440, p (vg- vs. vg-/usp-)<0.0001) reduced AKHR compared to the controls and double knockdowns. Perhaps the negative effect that vg and usp RNAi each has on AKHR expression causes a compensatory response in the double knockdowns that otherwise would experience an additive suppression of the AKHR gene. Head levels of AKHR were not affected in our experiments (Figure 8; Factorial ANOVA: Fvg- (1, 44) = 1.3263, p = 0.2557; Fusp- (1, 44) = 2.0433, p = 0.1600; Fvg- & usp- (1, 44), = 1.0529, p = 0.3105; n = 12), but double knockdowns showed a tentative reduction relative to controls (Fisher LSD, p (vg-/usp- vs. gfp) = 0.0748).
Relative expression of (A) AKH, (B) AKHR in the fat body, and (C) AKH, (D) AKHR in the brain. While AKH remained unaffected, the double knockdowns of vg and usp had significantly elevated AKHR transcript levels in fat body compared to control. The vg and usp single knockdowns, in contrast, had lower levels of AKHR in the fat body (Mean ± s.e., n = 12, p<0.05).
In summary, our transcript screen determined that several genes relevant to metabolic biology responded in fat body after combinations of vg and usp knockdown. The strongest responses were detected after double gene knockdown.
Here, we used a single and double gene knockdown strategy to study how Vg and JH can affect the sensory, metabolic and behavioral biology of honey bee workers. Double gene knockdown was previously reported for honey bee larvae , while our work (this paper) represents the first successful protocol for adult bees. Suppression of the putative JH receptor usp did not induce measurable changes in sucrose responsiveness and worker physiology, while the suppression of vg caused a subtle but significant increase in JH (previously observed by Guidugli et al. ). The simultaneous knockdown of vg and usp, in contrast, increased sucrose sensitivity, reduced starvation resistance, heightened glucose, trehalose and JH in hemolymph, and altered the expression of a set of nutrient signaling genes in the fat body. The same amount of dsRNA was used in all our experimental treatments, which rules out the possibility that the effects of double knockdown represent a simple dose-response to the injected material.
Our results may contradict the previous finding that vg RNAi affects sucrose responsiveness . These two experiments, however, were performed in different environments (Davis California vs. Tempe, Arizona, USA) with bees of different ages (5 vs. 7 days old). Environmental factors such as season, temperature and nectar availability can affect gustatory sensitivity, as does worker age . Therefore, we cannot conclude that the studies are fully comparable. It is possible that vg RNAi has measurable sensory effects in some conditions and ages, but not others. In comparison, the simultaneous suppression of vg and usp had a dramatic effect on sucrose responsiveness. The outcome may be related to the strongly elevated JH level of the double knockdowns, since JH application can lead to elevated gustatory sensitivity . Further experimentation is required to test this hypothesis.
Despite the open questions, our experiments were successful in perturbing a regulatory module of honey bee biology and behavior that relies on Vg and JH , . This perturbation had consequences that inform about connections between Vg and JH, and about relationships between this module, metabolic biology, sucrose sensory perception and foraging behavior in honey bee workers.
The relationship between Vg and JH in honey bee worker behavioral physiology
Our study targeted the Vg and JH feedback loop of honey bee workers that is central to the bees' transition from nursing to foraging. The basic ability of Vg and JH to mutually suppress each other was confirmed in previous experiments, but their exact relationship is poorly defined. We determined that Vg must reduce JH other than by accelerating its degradation given that levels of JHE, encoding the primary JH-degrading enzyme in honey bees , were unaffected by RNAi. Instead, our study suggests that Vg may inhibit JH production. This proposition can be tested in future studies focused on the regulation of JH synthesis. Moreover, we found a significant interaction effect of vg and usp RNAi on usp transcript abundance and the JH titer, which suggests that the increase in JH induced by vg RNAi is accelerated by simultaneous usp knockdown. Perhaps this result points to a compensatory response to a quantitative reduction in the JH receptor. Similar compensation is a common mechanism to overcome impaired function of receptors in mammals , . Possibly, such compensation was not observed after usp single knockdown because vg remained at control levels in these bees, continuing to suppress JH.
Usp proteins are also binding partners of the ecdysone receptor (EcR) in insects (reviewed in ). Ecdysteroids were not monitored in our experiment, as titers are generally very low in adult worker bees and several studies suggest a loss-of-function of the ecdysteroids in adult eusocial insects . Recent research, on the other hand, suggests that ecdysteroids can influence some aspects of bee behavior ,  We cannot exclude that our usp knockdown affected such relationships, as they were not specifically tracked in the experiments.
Metabolic biology of the nurse to forager transition
The metabolic biology of honey bee nurses and foragers differ. In nurses, the fat body is biased toward lipid and protein metabolism, whereas carbohydrate metabolism dominates the fat body of foragers . Similarly, we observed a mobilization of sugars in double knockdowns, which are like foragers had an elevated level of JH  and an increased susceptibility to starvation . Previous studies, moreover, have suggested that the AKH pathway is active in foragers , , and we observed an increase in AKHR expression in double knockdowns. Therefore, we believe that the simultaneous knockdown of vg and usp in worker honey bees provides an informative model for the role of the Vg-JH module in the nurse to forager transition.
What we have learned from testing this model is that although carbohydrate and lipid metabolisms change concurrently during the transition from nursing to foraging , , the regulation of the two systems can be decoupled. In our experiment, abdominal lipid stores were not significantly affected by double knockdown; these stores were equal between all treatment groups. This finding suggests that the regulation of lipid metabolism occurs largely independently of the Vg-JH relationship. In contrast, our results place carbohydrate metabolism downstream of the Vg-JH regulatory module. We propose, therefore, that the double knockdown phenotype, which diverged from the other treatment groups for many characteristics including starvation resistance, is not explained by altered lipid metabolism but by altered carbohydrate metabolism. We speculate that an increased carbohydrate metabolism driven by the Vg-JH module can be a central feature in the maturational development of honey bee foragers. It is generally known that worker bees experience a substantial lipid loss during the transition from nurse bee to forager, supporting a shift from lipid- to carbohydrate metabolism , .
Responses in metabolic gene networks
Our results support previous studies that suggested roles of ilp1, AKH and PKG in the nurse to forager transition of honey bees , . Insulin like peptides (ilps) play conserved roles in carbohydrate and amino acid metabolisms in vertebrates and invertebrates. In Drosophila, brain expression of ilps (called dilp genes) regulates trehalose and glucose levels in the hemolymph –. Patterns of ilp expression in the brain and fat body have been suggested to explain nutritional status and behavioral transitions in worker honey bees , . In fat body, ilp1 correlates positively with vg when amino acids are available to worker bees , but it is not fully understood how ilps regulate worker energy metabolism and behavior. Our results suggest that ilp1 is a nutrient sensor gene of the honey bee fat body that can be controlled by the Vg-JH module of worker bees. JH might up-regulate ilps produced by the fat body of Tribolium , but a previous study did not find a similar connection between JH and the expression of ilp1 in honey bee fat body cell . Thus, it is unclear how closely connected these endocrine factors are in honey bees.
Insect AKH is produced by the corpora cardiaca, paired neurosecretory organs connected to the JH producing corpora allata. As a functional analog of mammalian glucagon, AKH is responsible for mobilization of carbohydrates and lipids, and regulates the release of nutrients such as trehalose into hemolymph in Drosophila melanogaster , . Genetic deletion of the AKH receptor gene (AKHR) produces obese and starvation resistant flies , , while AKHR overexpression induces mobilization of carbohydrates, but not lipids, in both Drosophila and Manduca sexta , . In our study, double knockdown bees are characterized by elevated AKHR expression, starvation susceptibility and elevated carbohydrate levels in the blood, but no changes in fat body lipid stores. Typically, nursing honey bees have about 1.4–2.4 mg lipid per fat body , and our observations are within the same range (1.5–2.2 mg lipid per fat body). This finding of normal lipid stores in double knockdown bees suggests that the increased amounts of AKHR mRNA in the same animals are not linked to lipid mobilization. Instead, the overexpression of AKHR might be more exclusively associated with carbohydrate mobilization in honey bees. Since AKH expression remained unchanged in the head and fat body of double knockdowns, it is also unlikely that the increase in AKHR mRNA was paralleled by elevated AKH titers. Instead, it appears that fat body AKHR expression can be regulated by the Vg-JH module in worker bees, providing a candidate mechanism that may explain how the feedback loop propels workers from one physiological and behavioral state to the other . Furthermore, the down-regulation of AKHR by both the vg and usp single knockdown supports placement of AKHR downstream of vg and usp, and highlights the complexity of AKHR regulation.
PKG, or Amfor, is associated with foraging behaviors ,  in both Drosophila and honey bees. Studies on PKG mutant flies suggest that PKG is involved in carbohydrate metabolism and affects AKH expression . However, whether PKG is involved in energy metabolism is incompletely understood in honey bees. We find that PKG expression covaries with changes in honey bee gustatory responsiveness and metabolic biology, and we provide the first evidence that places PKG downstream of the Vg-JH feedback relationship. Specifically, we find PKG and ilp1 are down-regulated in the fat body in response to the simultaneous knockdown of vg and usp. This directional change is opposite to patterns seen in the brain, where an up-regulation has been linked to the transition from nursing to foraging behavior. Studies suggest the honey bee brain has metabolic patterns that are distinct from those of other tissues including the fat body (reviewed by Ament et al. ). The opposite expression patterns of ilp1 and PKG in the brain ,  and fat body (this study) exemplify such tissue specificity.
Conserved carbohydrate pathways and conserved connection between gustatory perception and energy metabolism
Relative to control workers, the double knockdown bees had high blood levels of glucose and trehalose, normal fat body lipid stores, low amounts of insulin like peptide (ilp1) mRNA and high amounts of AKHR mRNA. Mammalian type 1 diabetes is similarly characterized by high blood glucose, the absence of obesity, reduced insulin production, and inadequate suppression of glucagon secretion. The parallels between these phenotypes may indicate that the regulatory system of carbohydrate metabolism has conserved features that are shared between honey bees and mammals. Similarities may also exist in the way that metabolic processes are linked to gustatory perception. In mammals, key metabolic regulators like leptin, insulin and glucagon , , also modulate sweet taste perception (reviewed by ) and taste sensitivity . Although similar connections are not equally well understood in social insects, our study showed gustatory responsiveness changed substantially in response to vg and usp double knockdown, and this could be a result of strongly elevated JH levels. However, the metabolic genes ilp1, AKHR and PKG changed in parallel, and interestingly, their homologues influence gustatory perception in model animals like D. melanogaster and Caenorhabditis elegans , , . Therefore, an alternative hypothesis is that ilp1, AKHR and PKG jointly affect gustatory perception and energy metabolism in honey bees. Should this prove to be the case, it would strengthen the similarities between insect and mammalian control systems, enhancing the utility and desirability of using honey bees to model basic mechanisms of carbohydrate metabolism, gustation and food-related behavior. These are areas of increasing importance in studies of human metabolic syndromes such as obesity and diabetes , . Reciprocally, perhaps mammalian model systems can tell us more about metabolic biology that is important for bee health and pollination services.
Materials and Methods
Preparation of dsRNA
The vg and usp genes were partially cloned and used as templates in PCR. The PCR primers were established by previous studies , . PCR products were purified using Qiaquick PCR purification kit (Qiagen, Frederick, MD, USA). DsRNA was synthesized using RiboMax Large Scale T7 RNA Production Systems (Promega, Madison, WI, USA) following the manufacturer's protocol. DsRNA toward green fluorescent protein (gfp) sequence, which is not found in bee genomes, was synthesized as a control from AF097553 template as before , . DsRNA toward vg, usp, and gfp was purified using a phenol extraction. Aliquots were run on a 1% agarose gel for verification of dsRNA size and purity. For injections, the dsRNA was diluted to10 µg/µl in nuclease free water.
Bees for validation of RNAi in the laboratory
Wild-type bees were maintained at the Honey Bee Research Laboratory at the Arizona State University Polytechnic Campus, Gilbert AZ. Equal numbers of newly emerged bees from nine wild-type colonies were mixed together, randomly assigned to four treatment groups and marked with enamel paint (Testors Corporation, Rockford, IL, USA). The bees were injected intra-abdominally with 20 ug dsRNA against either gfp, vg , usp, or both vg and usp. In total, about 50 bees were injected per group. Bees were held for six days in three two-compartment cages: on one side of a single wire-mesh screen were the treated bees, and on the other side were 200 presumed nurses that had been brushed from a comb of open brood cell containing larvae. This setup ensured that the experimental bees received normal social interactions and nourishment (Amdam et al., 2007). Bees in both compartments had access to a 30% sucrose solution and pollen dough (Crockett Honey, Tempe, AZ, USA). Fresh food was given daily. Cages were incubated at 33°C and 70% RH. When bees were 7-day old adults, their fat body and hemolymph were collected and flash-frozen in liquid nitrogen for vg and usp knockdown verification as well as JH titration.
Quantification of vg and usp expression
To validate the single and double gene knockdowns, fat bodies were dissected from 7-day old marked bees, flash-frozen in liquid nitrogen, and stored at −80°C until use. The standard Trizol procedure (Promega, Madison, WI, USA) was used for RNA extraction. Isolated RNA was treated with DNaseI (Ambion, Austin, TX, USA) then expression levels were analyzed by a two-step qRT-PCR . RNA was diluted to 200 ng/µl for the reverse transcription using TaqMan Reagents (Applied Biosystems, Foster City, CA, USA). Relative transcript abundance in each sample was measured in triplicates by real-time PCR (ABI Prism 7500, Applied Biosystems). Actin (GenBank:XM_623378) served as a reference gene because it has stable expressions in different honey bee tissues ,  and is commonly used in gene expression studies in honey bees , . The primer sequences are listed in table 1. Data were analyzed using the Delta-Delta CT method . By monitoring negative control samples (without reverse transcriptase) and melting curves, we verified that the qRT-PCR assay was not confounded by DNA contamination or primer dimmers .
Hemolymph JH titer
One µl hemolymph was collected from each individual 7-day old bee. For every biological sample, 3 µl hemolymph was pooled randomly from three individuals of the same treatment group. Each biological sample was placed in 500 µl hexane and stored at −80°C prior to analysis. The gas chromatography/mass spectrometry (GC–MS) method of Bergot et al.  as modified by Amdam et al.  was used to titer JH. Samples were eluted through aluminum oxide columns successively with hexane, 10% ethyl ether–hexane and 30% ethyl ether–hexane. Samples were subjected to a second series of aluminum oxide elutions (30% ethyl ether-hexane then 50% ethyl-acetate–hexane) after derivatization with methyl-d alcohol (Sigma-Aldrich, St Louis, MO, USA) and trifluoroacetic acid (Sigma-Aldrich, St Louis, MO, USA). Purified samples were analyzed on an HP 7890A Series GC (Agilent Technologies, Santa Clara, CA, USA) equipped with a 30 m×0.25 mm Zebron ZB-WAX column (Phenomenex, Torrence, CA, USA) and coupled to an HP 5975C inert mass selective detector. Helium was the carrier gas. MS analysis occurred in the SIM mode, monitoring at m/z 76 and 225 to ensure specificity for the d3-methoxyhydrin derivative of JHIII. Total abundance was quantified against a standard curve of derivatized JHIII. The assay's detection limit is 1 pg.
Bees for testing of sensory sensitivity, starvation resistance, metabolic physiology, and gene expression
Newly emerged bees were obtained from nine wild-type colonies and injected with dsRNA, following the same protocol described above. Approximately 200 bees were injected per treatment group, and thereafter introduced into three nucleus hives containing four frames of honey, pollen and brood, one queen, and a background population of about 5,000 wild-type bees per colony.
The 7-day old treated bees were collected, briefly cold anesthetized then fastened into a metal holder allowing only head mobility . After 1 h, gustatory responsiveness was tested using the proboscis extension response (PER) . The investigator was blind to the treatment identity of the bees. Each worker was tested by touching both antennae with a droplet of H2O followed by a concentration series of 0.1, 0.3, 1, 3, 10, 30% sucrose, with a 10 min interstimulus interval. A PER was noted if a bee fully extended its proboscis when a drop of water or sucrose was touched to each antenna. The sum of elicited PERs provided a gustatory response score (GRS) ranging between 0 (no response) and 7 (response to all solutions including H2O) .
After GRS was determined, the tested bees were kept in their holders. The holders and bees were placed in an incubator set at 34°C and 80% HR. The bees were left unfed and the number of survivors was noted every 3 h for 3 days for survival analysis.
Circulating carbohydrates in hemolymph and lipid reserves in fat body
A separate set of bees were collected from the three nucleus hives for examining two major circulating carbohydrates, glucose and trehalose, and fat body lipid content.
Carbohydrate content was examined in 1 µl hemolymph sample collected from each individual bee at 7-days post-emergence. Glucose titer was measured using an enzymatic reagent assay (Sigma-Aldrich, St Louis, MO, USA), run for 15 min at 26°C. Using a spectrophotometer (Bio-Rad xMARK Microplate spectrophotometer), A340 was measured to determine total glucose in each sample. To measure trehalose , the enzyme trehalase (Sigma-Aldrich, St Louis, MO, USA) was added to the hemolymph sample (final concentration is 0.05 units/ml) and the resulting solution was kept at 37°C overnight. A second reading of A340 was subsequently taken and the amount of glucose produced from trehalose was calculated by subtracting the amount in the first reading from that in the final reading. The amount of trehalose was calculated using an equation: trehalose (µg) = Glucose (µg)×342.3/(180.2×2). Three replicates were tested for each sample. Final concentration was determined by reference to standard curves.
Fat bodies were collected as well as the hemolymph, and flash-frozen in liquid nitrogen for measuring abdominal lipid content. Each abdomen without digestive tract and sting apparatus, was freeze-dried, homogenized in a 2:1 chloroform:methanol solution and dried down to final volume 200 µl. A lipid assay was performed using 100 µl of each sample, following the protocol of Toth et al. . A525 was measured and absorbance readings were converted to mg using a curve generated from a cholesterol standard mix. Three replicates were performed for each sample.
Responses in associated gene networks
Fat bodies and whole heads were collected from another new set of 7-day old marked bees in the same nucleus hives which provided bees for detecting sensory sensitivity, starvation resistance and metabolic physiology. The samples were flash-frozen in liquid nitrogen and stored in a −80°C freezer until use. The same protocols for RNA extraction, reverse transcription and real-time PCR were used which we described above. Primers are listed in table 1.
AKH gene cloning
Total RNA isolated from whole worker heads was used for cloning AKH. Total RNA was treated with DNaseI (Invitrogen, Carlsbad, CA, USA) and 5′ and 3′ RACE experiments were performed using the GeneRacer Kit (Invitrogen, Carlsbad, CA, USA) according to the manufacturer's instructions. For the 5′ RACE, a degenerate primer was used in combination with the primer supplied with the kit. For 3′ RACE, a forward primer was used in combination with the 3′RACE primers supplied with the kit. The PCR products were cloned into a T-easy vector (Promega, Madison, WI, USA) following the instructions. Several clones were randomly picked and verified by sequencing. Subsequent to sequence analysis, full-length cDNA of AKH was amplified and re-verified by sequencing.
Gene expression data were Log transformed to approximate normality, as verified by Bartlett and Levene's homogeneity test. A full factorial ANOVA was used to test overall effects of treatment on groups, and Fisher LSD (Least Significant Difference) tests were used for most post-hoc comparisons. A student's t-test was used to detect the knockdown effects on JH titer between vg or usp single knockdowns and gfp controls. For the survival analysis, the frequencies of dead bees vs. total number of bees were analyzed with a Chi-square test that contrasted groups receiving different treatment bees. Comparisons of life spans were conducted with the Cox's F survival test. Analyses were performed with STATISTICA 6.0 (StatSoft).
Nucleotide and deduced amino acid sequence of Apis mellifera AKH precursor cDNA (GenBank: JN983824). The AKH gene consists of three exons and is organized similarly to AKH precursors of other species . A signal peptide is followed by a single mature AKH peptide (in boldface with grey shading), followed by the glycine required for canonical amidation and dibasic cleavage signals (GKR). After the stop codon, there are potential polyadenylation signals (AATAAA, AATAT and ATTTT) and an 11-nucleotide poly (A) tail. Conserved cysteines are shaded in grey. Putative polyadenylation signal homologies are underlined. The A. mellifera AKH peptide is nearly identical to the Tribalism AKH1 peptide sequence QLNFSTG(D)W-amide , , differing at the 5′ end from the predicted gene GB30028-RA (Genbank).
We thank O. Kaftanoglu and A. Dolezal for their assistance with experiments, and M. Sokolowski, K. Ihle, F. Nunes, A. Dolezal, K. Dolezal for comments to improve this manuscript. We also thank K. Hartfelder for helpful advice on the mechanisms of the JH system and three anonymous reviewers for their helpful comments.
Conceived and designed the experiments: YW GVA. Performed the experiments: YW CSB EF. Analyzed the data: YW GVA. Contributed reagents/materials/analysis tools: GVA. Wrote the paper: YW GVA.
- 1. Seeley TD (1982) Adaptive Significance of the Age Polyethism Schedule in Honeybee Colonies. Behavioral Ecology and Sociobiology 11: 287–293.
- 2. Behrends A, Scheiner R, Baker N, Amdam GV (2007) Cognitive aging is linked to social role in honey bees (Apis mellifera). Exp Gerontol 42: 1146–1153.
- 3. Robinson GE (1985) Effects of a juvenile hormone analogue on honey bee foraging behaviour and alarm pheromone production. J Insect Physiol 277–282.
- 4. Jaycox ER, Skowronek W, Guynn G (1974) Behavioral changes in worker honey bees (Apis mellifera) induced by injections of a juvenile hormone mimic. Ann Entomol Soc Am 67: 529–534.
- 5. Huang ZY, Robinson GE, Yaoi S, Strambi C, Strambi A (1991) Hormonal regulation of behavioural development in the honey bee is based on changes in the rate of juvenile hormone biosynthesis. Journal of Insect Physiology 37: 733–741.
- 6. Ament SA, Corona M, Pollock HS, Robinson GE (2008) Insulin signaling is involved in the regulation of worker division of labor in honey bee colonies. Proc Natl Acad Sci U S A 105: 4226–4231.
- 7. Ament SA, Velarde RA, Kolodkin MH, Moyse D, Robinson GE (2011) Neuropeptide Y-like signalling and nutritionally mediated gene expression and behaviour in the honey bee. Insect Mol Biol 20: 335–345.
- 8. Wang Y, Mutti NS, Ihle KE, Siegel A, Dolezal AG (2010) Down-regulation of honey bee IRS gene biases behavior toward food rich in protein. PLoS Genet 6: e1000896. doi:10.1371/journal.pgen.1000896.
- 9. Pankiw T, Page RE (2000) Response thresholds to sucrose predict foraging division of labor in honeybees. Behav Ecol Sociobiol 47: 265–267.
- 10. Pankiw T, Nelson M, Page RE, Fondrk MK (2004) The communal crop: modulation of sucrose response thresholds of pre-foraging honey bees with incoming nectar quality. Behav Ecol Sociobiol 55: 286–292.
- 11. Scheiner R, Page RE Jr, Erber J (2001) The effects of genotype, foraging role, and sucrose responsiveness on the tactile learning performance of honey bees (Apis mellifera L.). Neurobiol Learn Mem 76: 138–150.
- 12. Ben-Shahar Y, Robinson GE (2001) Satiation differentially affects performance in a learning assay by nurse and forager honey bees. J Comp Physiol A Neuroethol Sens Neural Behav Physiol 187: 891–899.
- 13. Fluri P, Bogdanov S (1987) Age dependence of fat body protein in summer and winter bees (Apis mellifera). In: Eder K, Rembold H, editors. Chemistry and Biology of Social Insects. M.unchen: Verlag J. Peperny. pp. 170–171.
- 14. Haydak MH (1957) Changes with age in the appearance of some internal organs of the honeybee. Bee World 38: 197–207.
- 15. Toth AL, Robinson GE (2005) Worker nutrition and division of labour in honeybees. Anim Behav 69: 427–435.
- 16. Amdam GV, Omholt SW (2003) The hive bee to forager transition in honeybee colonies: the double repressor hypothesis. J Theor Biol 223: 451–464.
- 17. Toth AL, Kantarovich S, Meisel AF, Robinson GE (2005) Nutritional status influences socially regulated foraging ontogeny in honey bees. J Exp Biol 208: 4641–4649.
- 18. Ament SA, Chan QW, Wheeler MM, Nixon SE, Johnson SP, et al. (2011) Mechanisms of stable lipid loss in a social insect. Journal of Experimental Biology 214: 3808–3821.
- 19. Wang Y, Amdam GV, Rueppell O, Wallrichs MA, Fondrk MK (2009) PDK1 and HR46 gene homologs tie social behavior to ovary signals. PLoS ONE 4: e4899. doi:10.1371/journal.pone.0004899.
- 20. Wick KL, Liu F (2001) A new molecular target of insulin action: regulating the pivotal PDK1. Curr Drug Targets Immune Endocr Metabol Disord 1: 209–221.
- 21. Hunt GJ, Amdam GV, Schlipalius D, Emore C, Sardesai N, et al. (2007) Behavioral genomics of honeybee foraging and nest defense. Naturwissenschaften 94: 247–267.
- 22. Tobe SS (1985) Structure and regulation of the corpus allatum. Adv Insect Physiol 18: 305–432.
- 23. Jaycox ER (1976) Behavioral Changes in Worker Honey Bees (Apis mellifera L.) after Injection with Synthetic Juvenile Hormone (Hymenoptera: Apidae). Journal of the Kansas Entomological Society 49: 165–170.
- 24. Chapman RF (1998) The Inscects: Structure and Function. Cambridge, UK: Cambridge Unversity Press. 788 p.
- 25. Engels W (1974) Occurrence and significance of vitellogenins in female castes of social hymenoptera. Am Zool 14: 1229–1237.
- 26. Amdam GV, Simões ZLP, Hagen A, Norberg K, Schrøder K, et al. (2004) Hormonal control of the yolk precursor vitellogenin regulates immune function and longevity in honeybees. Exp Gerontol 39: 767–773.
- 27. Seehuus SC, Norberg K, Gimsa U, Krekling T, Amdam GV (2006) Reproductive protein protects functionally sterile honey bee workers from oxidative stress. Proc Natl Acad Sci U S A 103: 962–967.
- 28. Amdam GV, Norberg K, Hagen A, Omholt SW (2003) Social exploitation of vitellogenin. Proc Natl Acad Sci U S A 100: 1799–1802.
- 29. Guidugli KR, Nascimento AM, Amdam GV, Barchuk AR, Omholt SW, et al. (2005) Vitellogenin regulates hormonal dynamics in the worker caste of a eusocial insect. FEBS Letters 579: 4961–4965.
- 30. Amdam GV, Norberg K, Page RE Jr, Erber J, Scheiner R (2006) Downregulation of vitellogenin gene activity increases the gustatory responsiveness of honey bee workers (Apis mellifera). Behav Brain Res 169: 201–205.
- 31. Nelson CM, Ihle K, Amdam GV, Fondrk MK, Page RE (2007) The gene vitellogenin has multiple coordinating effects on social organization. PLoS Biol 5: e62. doi:10.1371/journal.pbio.0050062.
- 32. Gulia-Nuss M, Robertson AE, Brown MR, Strand MR (2011) Insulin-like peptides and the target of rapamycin pathway coordinately regulate blood digestion and egg maturation in the mosquito Aedes aegypti. PLoS ONE 6: e20401. doi:10.1371/journal.pone.0020401.
- 33. Shen L, Xing L, Yang Y, Gao Q (2007) Sequence analysis of functional Apisimin-2 cDNA from royal jelly of Chinese honeybee and its expression in Escherichia coli. Asia Pac J Clin Nutr 16: 222–226.
- 34. Jia K, Chen D, Riddle DL (2004) The TOR pathway interacts with the insulin signaling pathway to regulate C. elegans larval development, metabolism and life span. Development 131: 3897–3906.
- 35. Richard DS, Rybczynski R, Wilson TG, Wang Y, Wayne ML, et al. (2005) Insulin signaling is necessary for vitellogenesis in Drosophila melanogaster independent of the roles of juvenile hormone and ecdysteroids: female sterility of the chico(1) insulin signaling mutation is autonomous to the ovary. J Insect Physiol 51: 455–464.
- 36. Tu MP, Yin CM, Tatar M (2005) Mutations in insulin signaling pathway alter juvenile hormone synthesis in Drosophila melanogaster. Gen Comp Endocrinol 142: 347–356.
- 37. Flatt T, Tu MP, Tatar M (2005) Hormonal pleiotropy and the juvenile hormone regulation of Drosophila development and life history. Bioessays 27: 999–1010.
- 38. Bitondi MMG, Simões ZLP (1996) The relationship between level of pollen in the diet, vitellogenin and juvenile hormone titres in Africanized Apis mellifera workers. J Apic Res 35: 27–36.
- 39. Hansen IA, Attardo GM, Park JH, Peng Q, Raikhel AS (2004) Target of rapamycin-mediated amino acid signaling in mosquito anautogeny. Proc Natl Acad Sci U S A 101: 10626–10631.
- 40. Patel A, Fondrk MK, Kaftanoglu O, Emore C, Hunt G, et al. (2007) The making of a queen: TOR pathway governs diphenic caste development. PLoS ONE 6: e509. doi:10.1371/journal.pone.0000509.
- 41. Neufeld TP (2004) Genetic analysis of TOR signaling in Drosophila. Curr Top Microbiol Immunol 279: 139–152.
- 42. Mutti NS, Dolezal AG, Wolschin F, Mutti JS, Gill KS, et al. (2011) IIS and TOR nutrient-signaling pathways act via juvenile hormone to influence honey bee caste fate. Journal of Experimental Biology 214: 3977–3984.
- 43. Ament SA, Wang Y, Robinson GE (2010) Nutritional regulation of division of labor in honey bees: toward a systems biology perspective. Wiley Interdiscip Rev Syst Biol Med 2: 566–576.
- 44. Sullivan JP, Fahrbach SE, Harrison JF, Capaldi EA, Fewell JH, et al. (2003) Juvenile hormone and division of labor in honey bee colonies: effects of allatectomy on flight behavior and metabolism. J Exp Biol 206: 2287–2296.
- 45. Piulachs MD, Guidugli KR, Barchuk AR, Cruz J, Simões ZLP, et al. (2003) The vitellogenin of the honey bee, Apis mellifera: structural analysis of the cDNA and expression studies. Insect Biochem Mol Biol 33: 459–465.
- 46. Jones G, Sharp PA (1997) Ultraspiracle: an invertebrate nuclear receptor for juvenile hormones. Proc Natl Acad Sci U S A 94: 13499–13503.
- 47. Miura K, Oda M, Makita S, Chinzei Y (2005) Characterization of the Drosophila Methoprene -tolerant gene product. Juvenile hormone binding and ligand-dependent gene regulation. Febs J 272: 1169–1178.
- 48. Riddiford LM (2008) Juvenile hormone action: a 2007 perspective. J Insect Physiol 54: 895–901.
- 49. Barchuk AR, Maleszka R, Simoes ZLP (2004) Apis mellifera ultraspiracle: cDNA sequence and rapid up-regulation by juvenile hormone. Insect Mol Biol 13: 459–467.
- 50. Barchuk AR, Figueiredo VL, Simoes ZL (2008) Downregulation of ultraspiracle gene expression delays pupal development in honeybees. J Insect Physiol 54: 1035–1040.
- 51. Elias-Neto M, Soares MP, Simoes ZL, Hartfelder K, Bitondi MM (2010) Developmental characterization, function and regulation of a Laccase2 encoding gene in the honey bee, Apis mellifera (Hymenoptera, Apinae). Insect Biochem Mol Biol 40: 241–251.
- 52. Mackert A, Nascimento AM, Bitondi MMG, Hartfelder K, Simões ZLP (2008) Identification of a juvenile hormone esterase-like gene in the honey bee, Apis mellifera L. — Expression analysis and functional assays. Comp Biochem Physiol B 150: 33–44.
- 53. Mutti NS, Wang Y, Kaftanoglu O, Amdam GV (2011) Honey bee PTEN—‘description, developmental knockdown, and tissue-specific expression of splice-variants correlated with alternative social phenotypes. PLoS ONE 6: e22195. doi:10.1371/journal.pone.0022195.
- 54. Nilsen K, Ihle KE, Frederick K, Fondrk MK, Smedal B, et al. (2011) In Honeybee Fat Body, Insulin-1 Like Peptide Genes Respond Differently to Manipulation of Social Behavioral Physiology. Journal of Experimental Biology 214: 1488–1497.
- 55. Jarosch A, Moritz RFA (2011) SystemicRNA-interferenceinthehoneybee Apis mellifera: Tissue dependent uptake of fluorescent siRNA after intra-abdominal application observed by laser-scanning microscopy. J Insect Physiol 57: 851–857.
- 56. Pankiw T, Page RE Jr (2003) Effect of pheromones, hormones, and handling on sucrose response thresholds of honey bees (Apis mellifera L.). J Comp Physiol A Neuroethol Sens Neural Behav Physiol 189: 675–684.
- 57. Bitterman ME, Menzel R, Fietz A, Schäfer S (1983) Classical conditioning of proboscis extension in honeybees (Apis mellifera). J Comp Physiol 97: 107–119.
- 58. Page RE Jr, Erber J, Fondrk MK (1998) The effect of genotype on response thresholds to sucrose and foraging behavior of honey bees (Apis mellifera L.). J Comp Physiol [A] 182: 489–500.
- 59. Scheiner R, Page RE Jr, Erber J (2001) Responsiveness to sucrose affects tactile and olfactory learning in preforaging honey bees of two genetic strains. Behav Brain Res 120: 67–73.
- 60. Ballard JW, Melvin RG, Simpson SJ (2008) Starvation resistance is positively correlated with body lipid proportion in five wild caught Drosophila simulans populations. J Insect Physiol 54: 1371–1376.
- 61. Woodring J, Boulden M, Das S, Gade G (1993) Studies on blood sugar homeostasis in the honeybee (Apis mellifera, L.). Journal of Insect Physiology 39: 89–97.
- 62. Candy DJ, Becker A, Wegener G (1997) Coordination and integration of metabolism in insect flight. Comparative Biochemistry and Physiology B-Biochemistry & Molecular Biology 117: 497–512.
- 63. Giannakou ME, Goss M, Junger MA, Hafen E, Leevers SJ, et al. (2004) Long-lived Drosophila with overexpressed dFOXO in adult fat body. Science 305: 361.
- 64. Kaun KR, Riedl CA, Chakaborty-Chatterjee M, Belay AT, Douglas SJ, et al. (2007) Natural variation in food acquisition mediated via a Drosophila cGMP-dependent protein kinase. J Exp Biol 210: 3547–3558.
- 65. Scheiner R, Sokolowski MB, Erber J (2004) Activity of cGMP-dependent protein kinase (PKG) affects sucrose responsiveness and habituation in Drosophila melanogaster. Learn Mem 11: 303–311.
- 66. Ben-Shahar Y (2005) The foraging gene, behavioral plasticity, and honeybee division of labor. J Comp Physiol A Neuroethol Sens Neural Behav Physiol 191: 987–994.
- 67. Ben-Shahar Y, Leung HT, Pak WL, Sokolowski MB, Robinson GE (2003) cGMP-dependent changes in phototaxis: a possible role for the foraging gene in honey bee division of labor. J Exp Biol 206: 2507–2515.
- 68. Wang S, Shiva S, Poczatek MH, Darley-Usmar V, Murphy-Ullrich JE (2002) Nitric oxide and cGMP-dependent protein kinase regulation of glucose-mediated thrombospondin 1-dependent transforming growth factor-beta activation in mesangial cells. J Biol Chem 277: 9880–9888.
- 69. Zanetti M, Barazzoni R, Stebel M, Roder E, Biolo G, et al. (2005) Dysregulation of the endothelial nitric oxide synthase-soluble guanylate cyclase pathway is normalized by insulin in the aorta of diabetic rat. Atherosclerosis 181: 69–73.
- 70. Hummon AB, Richmond TA, Verleyen P, Baggerman G, Huybrechts J, et al. (2006) From the genome to the proteome: uncovering peptides in the Apis brain. Science 314: 647–649.
- 71. Li B, Predel R, Neupert S, Hauser F, Tanaka Y, et al. (2008) Genomics, transcriptomics, and peptidomics of neuropeptides and protein hormones in the red flour beetle Tribolium castaneum. Genome Res 18: 113–122.
- 72. Roller L, Yamanaka N, Watanabe K, Daubnerova I, Zitnan D, et al. (2008) The unique evolution of neuropeptide genes in the silkworm Bombyx mori. Insect Biochem Mol Biol 38: 1147–1157.
- 73. Persani L, Calebiro D, Cordella D, Weber G, Gelmini G, et al. (2010) Genetics and phenomics of hypothyroidism due to TSH resistance. Molecular and Cellular Endocrinology 322: 72–82.
- 74. Yoshida H, Yokode M, Yamamoto A, Masaki R, Murayama T, et al. (1999) Compensated endocytosis of LDL by hamster cells co-expressing the two distinct mutant LDL receptors defective in endocytosis and ligand binding. Journal of Lipid Research 40: 814–823.
- 75. Billas IM, Moras D (2005) Ligand-binding pocket of the ecdysone receptor. Vitam Horm 73: 101–129.
- 76. Hartfelder K, Bitondi MMG, Santana WC, Simões ZLP (2002) Ecdysteroid titer and reproduction in queens and workers of the honey bee and of a stingless bee: loss of ecdysteroid function at increasing levels of sociality? Insect Biochem Mol Biol 32: 211–216.
- 77. Velarde RA, Robinson GE, Fahrbach SE (2009) Coordinated responses to developmental hormones in the Kenyon cells of the adult worker honey bee brain (Apis mellifera L.). J Insect Physiol 55: 59–69.
- 78. Huang ZY, Robinson GE, Borst DW (1994) Physiological correlates of division of labor among similarly aged honey bees. J Comp Physiol [A] 174: 731–739.
- 79. Ben-Shahar Y, Robichon A, Sokolowski MB, Robinson GE (2002) Influence of gene action across different time scales on behavior. Science 296: 741–744.
- 80. Rulifson EJ, Kim SK, Nusse R (2002) Ablation of insulin-producing neurons in flies: growth and diabetic phenotypes. Science 296: 1118–1120.
- 81. Belgacem YH, Martin JR (2006) Disruption of insulin pathways alters trehalose level and abolishes sexual dimorphism in locomotor activity in Drosophila. J Neurobiol 66: 19–32.
- 82. Broughton S, Alic N, Slack C, Bass T, Ikeya T, et al. (2008) Reduction of DILP2 in Drosophila triages a metabolic phenotype from lifespan revealing redundancy and compensation among DILPs. PLoS ONE 3: e3721. doi:10.1371/journal.pone.0003721.
- 83. Sheng ZT, Xu JJ, Bai H, Zhu F, Palli SR (2011) Juvenile Hormone Regulates Vitellogenin Gene Expression through Insulin-like Peptide Signaling Pathway in the Red Flour Beetle, Tribolium castaneum. Journal of Biological Chemistry 286: 41924–41936.
- 84. Bharucha KN, Tarr P, Zipursky SL (2008) A glucagon-like endocrine pathway in Drosophila modulates both lipid and carbohydrate homeostasis. J Exp Biol 211: 3103–3110.
- 85. Gronke S, Muller G, Hirsch J, Fellert S, Andreou A, et al. (2007) Dual lipolytic control of body fat storage and mobilization in Drosophila. PLoS Biol 5: e137. doi:10.1371/journal.pbio.0050137.
- 86. Musselman LP, Fink JL, Narzinski K, Ramachandran PV, Hathiramani SS, et al. (2011) A high-sugar diet produces obesity and insulin resistance in wild-type Drosophila. Dis Model Mech 4: 842–849.
- 87. Ziegler R, Isoe J, Moore W, Riehle MA, Wells MA (2010) The putative AKH receptor of the tobacco hornworm, Manduca sexta, and its expression. J Insect Sci 11: 40.
- 88. Kaun KR, Chakaborty-Chatterjee M, Sokolowski MB (2008) Natural variation in plasticity of glucose homeostasis and food intake. J Exp Biol 211: 3160–3166.
- 89. Ninomiya Y, Shigemura N, Yasumatsu K, Ohta R, Sugimoto K, et al. (2002) Leptin and sweet taste. Vitam Horm 64: 221–248.
- 90. Friedman JM, Halaas JL (1998) Leptin and the regulation of body weight in mammals. Nature 395: 763–770.
- 91. Ahima RS, Osei SY (2001) Molecular regulation of eating behavior: new insights and prospects for therapeutic strategies. Trends Mol Med 7: 205–213.
- 92. Giza BK, Scott TR (1987) Blood glucose level affects perceived sweetness intensity in rats. Physiol Behav 41: 459–464.
- 93. Wu Q (2005) FUNCTIONAL ANALYSES OF THE DROSOPHILA INSULIN- AND NEUROPEPTIDE Y-LIKE SIGNALING SYSTEMS: REGULATION OF FEEDING, RISK-AVERSE AND SOCIAL BEHAVIOR. PhD thesis The University of Georgia.
- 94. Drewnowski A, Brunzell JD, Sande K, Iverius PH, Greenwood MR (1985) Sweet tooth reconsidered: taste responsiveness in human obesity. Physiol Behav 35: 617–622.
- 95. Bartoshuk LM, Duffy VB, Hayes JE, Moskowitz HR, Snyder DJ (2006) Psychophysics of sweet and fat perception in obesity: problems, solutions and new perspectives. Philosophical Transactions of the Royal Society B-Biological Sciences 361: 1137–1148.
- 96. Amdam GV, Simoes ZL, Guidugli KR, Norberg K, Omholt SW (2003) Disruption of vitellogenin gene function in adult honeybees by intra-abdominal injection of double-stranded RNA. BMC Biotechnol 3: 1.
- 97. Amdam GV, Nilsen KA, Norberg K, Fondrk MK, Hartfelder K (2007) Variation in endocrine signaling underlies variation in social life history. Am Nat 170: 37–46.
- 98. Bieke Scharlaken DCdG, Goossens Karen, Brunain Marleen, Peelman LucJ, Jacobs FransJ (2008) Reference gene selection for insect expression studies using quantitative real-time PCR: The head of the honeybee, Apis mellifera, after a bacterial challenge. Journal of insect Science 8: 1–10.
- 99. Anete Pedro Lourenço AM, Alexandre dos Santos Cristino and Zilá Luz Paulino Simões (2008) Validation of reference genes for gene expression studies in the honey bee, Apis mellifera, by quantitative real-time RT-PCR. Apidologie 39: 372–385.
- 100. Amdam GV, Norberg K, Fondrk MK, Page RE Jr (2004) Reproductive ground plan may mediate colony-level selection effects on individual foraging behavior in honey bees. Proc Natl Acad Sci U S A 101: 11350–11355.
- 101. de Azevedo SV, Hartfelder K (2008) The insulin signaling pathway in honey bee (Apis mellifera) caste development - differential expression of insulin-like peptides and insulin receptors in queen and worker larvae. J Insect Physiol 54: 1064–1071.
- 102. Pfaffl MW (2001) A new mathematical model for relative quantification in real-time RT-PCR. Nucleic Acids Res 29: e45.
- 103. Vandesompele J, De Paepe A, Speleman F (2002) Elimination of primer-dimer artifacts and genomic coamplification using a two-step SYBR green I real-time RT-PCR. Anal Biochem 303: 95–98.
- 104. Bergot BJ, Schooley DA, Dekort CAD (1981) Identification of Jh-Iii as the Principal Juvenile-Hormone in Locusta-Migratoria. Experientia 37: 909–910.
- 105. Amdam GV, Page RE Jr, Fondrk MK, Brent CS (2010) Hormone response to bidirectional selection on social behavior. Evolution & Development 12:
- 106. Scheiner R (2004) Responsiveness to sucrose and habituation of the proboscis extension response in honey bees. J Comp Physiol A 190: 727–733.
- 107. Broughton SJ, Piper MDW, Ikeya T, Bass TM, Jacobson J, et al. (2005) Longer lifespan, altered metabolism, and stress resistance in Drosophila from ablation of cells making insulin-like ligands. Proc Natl Acad Sci USA 102: 3105–3110.
- 108. Gade G, Hoffmann KH, Spring JH (1997) Hormonal regulation in insects: facts, gaps, and future directions. Physiol Rev 77: 963–1032.