Abstract
In this review, the utility of Drosophila melanogaster as a model organism for research in metabolism will be demonstrated. Importantly, many metabolic pathways are conserved in both man and the fly. Recent work has highlighted that these conserved molecular pathways have the potential to give rise to similar phenotypes. For example, it has proven possible to generate obese and diabetic Drosophila; conversely, genetic manipulation can also generate lean and hypoglycemic phenotypes. From conserved circulating hormones to key enzymes, the fly is host to a variety of homologous, metabolically active signaling mechanisms. The world of Drosophila research has not only a rich history of developing techniques for exquisite genetic manipulation, but also continues to develop genetic methodologies at an exciting rate. Many of these techniques add to the cadre of experimental tools available for the use of the fly as a model organism for studying carbohydrate and lipid homeostasis. This review is written for the pediatric-scientist with little background in Drosophila, with the goal of relaying the potential of this model organism for contributing to a better understanding of diseases affecting today's children.
Similar content being viewed by others
CHILDHOOD OBESITY AND THE FAT FLY
Over the last few decades, the prevalence of obese children has increased from about 5 to 15% (1). Thus, a staggering number of children in the United States are at risk for obesity-related health problems. The public health consequences of such trends will be enormous in the coming decades, given the serious co-morbidities associated with obesity (2). For example, type 2 diabetes, once a rarity in the pediatric population, has the potential to become an all too common diagnosis, particularly among minority populations. As today's children grow into tomorrow's adults, the trends are at risk for compounding in the near future. Indeed, the National Institutes of Health has issued a “Help Wanted” for the training of more pediatric endocrinologists to help care for the burgeoning population of children requiring care (3).
A multidisciplinary effort is needed to adequately address the enormous health consequences of these trends, ranging from school-based interventions to more basic metabolism research. Laboratory-based investigations will play an indispensable role by providing insight into the fundamental molecular mechanisms that contribute to obesity. Within the context of laboratory-based research, work in model organisms can make a significant contribution to metabolic research, in a cost-effective and expedient manner.
Why study flies? Strikingly, the vast majority of genes causing human disease have a Drosophila homolog (4). It is becoming increasingly apparent that the powerful methods of Drosophila genetics can be a gateway for a better understanding of human metabolic disorders. Although Drosophila melanogaster has been studied for decades, it has only been recently appreciated as a model for human metabolic disease and pathways (5–7). Remarkably, the molecular mechanisms contributing to many metabolic phenotypes observed in Drosophila are largely conserved between flies and humans. Recent work has shown that it is possible to generate Drosophila with diabetic and obese phenotypes, often with manipulation of pathways that cause parallel clinical manifestations in humans. Therefore, it is reasonable to assume that research in fly metabolism can provide insights with high clinical relevance. Moreover, research in Drosophila, with its array of powerful genetic tools, provides an opportunity to delineate conserved signaling pathways and identify novel therapeutic targets.
In this review, recent work in Drosophila will be highlighted that has provided insight into lipid and carbohydrate homeostasis relevant to human physiology. It is a growing field of investigation, pioneered by a small but growing cadre of Drosophilists, often working in basic science departments. This nascent Drosophila metabolism research community can benefit from interaction with clinicians (and pediatricians in particular) who can often help frame research questions in the context of a clinical milieu. At the outset, apologies are extended to researchers whose work could not be cited given the space constraints of the current review.
THE METABOLIC FLY
The fly has several discreet organ systems, paralleling those in mammals, that play key roles as metabolic regulators (8). The Drosophila fat body (sharing properties of adipose tissue), oenocytes (newly described as hepatocyte-like cells), gastrointestinal tract (functionally segregated, as in mammals), Malphigian tubules (serving as kidneys) and certain areas of the brain are examples of tissues playing a key role in metabolic regulation and energy homeostasis (9–13). Thus, not only are many metabolic pathways conserved, the regulation of energy homeostasis requires interplay between metabolically active tissues, reminiscent of the metabolic regulation in mammals. It is beyond the scope of the current review to discuss each individual tissue, but recent findings on work in the Drosophila fat body and oenocytes are highlighted below.
The Drosophila fat body is the main depot for the storage of fuel molecules such as glycogen and triglycerides. In the larval stage, it consists of approximately 2000 cells arranged in segmented pattern throughout the body (14). The larval fat body is particularly amenable to visual analysis, as it can be readily assessed through the translucent larval body wall. During metamorphosis and early adulthood, the larval fat body cells undergo autophagy and the adult fat body is formed de novo (15). The adult fat body is also characterized by a wide distribution, in intimate contact with a variety of organs throughout the body segments, including the pericerebral region (16).
The fat body is becoming increasingly appreciated to secrete factors that modulate metabolism, reminiscent of mammalian adipokines (17). The fat body has already been known to secrete factors important for the Drosophila immune response (18). In a recent study, the fat body was shown to secrete an ortholog of the acid-labile subunit (ALS) that, in humans, forms a ternary complex with IGF binding protein 3 and insulin-like growth factor-1 (IGF-1) (19). Drosophila ALS (dALS) binds to Drosophila insulin-like peptides (dILPs), and has been proposed to modulate insulin action in the fly. Intriguingly, the Drosophila protein Imp-L2 forms a ternary complex with dALS and dILPs, analogous to mammalian IGF-binding proteins (19,20). Thus, the fat body can modulate insulin action via secretion of proteins that are homologs of known modulators of the mammalian IGF-1 pathway. Other factors affecting growth and metabolism released by the Drosophila fat body await discovery.
A fascinating recent study has demonstrated that Drosophila larvae contain hepatocyte-like cells (oenocytes), which accumulate lipids upon starvation (12). Oenocytes express many of the same genes as hepatocytes, such as enzymes required for processing fatty acids, cell surface proteins for the uptake of lipoprotein particles, and orthologs of hepatic transcription factors [such as hepatocyte nuclear factor 4-α and chicken ovalbumin upstream promoter transcription factor]. Thus, oenocytes are currently viewed as involved with the processing of lipids released by the fat body. Unlike the mammalian liver, which exists as a singly assembled organ, Drosophila oenocytes are distributed in discreet paired clusters along the larval body wall. The unique anatomical distribution allows oenocytes to be in intimate contact with the hemolymph, which circulates nutrients in Drosophila. Thus, both the mammalian liver (as a consequence of its arterial and venous communications) and Drosophila oenocytes (as a consequence of their anatomical distribution) are well suited to act as sensors of metabolic status.
Because of its ability to act as a glycogen storage depot, the fat body can also be considered to share some functions performed by the mammalian liver; it uses many of the same enzymes that regulate glycogen synthesis and breakdown. Mechanisms that regulate communication between oenocytes and the fat body are currently unknown, and promise to shed light upon the shuttling of fuel molecules in mammals. Interesting research questions abound; for example, do oenocytes secrete substances that act directly on the fat body to inhibit lipid mobilization, forming a negative feedback loop? The further study of oenocytes can contribute to a better understanding of factors that result in hepatic steatosis (21).
GENETIC TOOLS TO STUDY METABOLIC DISEASE
The fly offers a myriad of genetic tools to help study metabolism. In addition to the potential to study further mechanisms regulating energy homeostasis that are likely to be conserved, the relative cost-effectiveness and speed are also attractive features. Rather than rest on its laurels, Drosophila genetics continues to advance at an exciting pace (22). In the past few years alone, a variety of genetic tools and stock collections have emerged as important components in the Drosophila genetics toolbox. In this section, the breadth and utility of these research tools will be illustrated, and how they can be applied to the field of metabolic research.
Unbiased forward genetic screens are a staple of Drosophila research; they provide the opportunity for the establishment of new and unexpected paradigms that can sometimes elude hypothesis-driven research (23,24). A well-designed screen has phenotypic endpoints that are easily scored on a large scale, allowing the assessment of hundreds of putative mutants by a relatively small group of researchers. In fact, most genetic screens are initiated by individual academic laboratories rather than by large consortiums of researchers. It is not unusual for a single member of a lab to screen through hundreds (if not thousands) of lines during the early stages of a research project. Indeed, genetic screens in the Drosophila have contributed fundamental discoveries in a variety of fields. Screens can be performed on mutant collections on a scale often beyond the feasibility of vertebrate model systems.
Forward genetic screens in Drosophila have contributed to our understanding of insulin signaling. As in mammals, the insulin pathway is also an important regulator of growth and metabolism in Drosophila (25). Several dILPs bind to a single insulin receptor (dInR) to activate intracellular cascades homologous to those in mammals. As an example of a recent genetic screen, an experimental approach was designed to manipulate the insulin pathway only in the fly eye (without altering with the pathway in the rest of the body) (20). Over-expression of dInR in the photoreceptor neurons (using Gal4/UAS methodology discussed below) results in hyperplasia of the eye, an easily discerned phenotype; the screen was designed to identify suppressors of this dINR-induced phenotype. Indeed, this screen identified Imp-L2, an IGF-binding protein homolog, discussed in the previous section. Such a mosaic experimental platform also allows for the identification of genes involved with insulin signaling that would otherwise be lethal if mutant throughout the entire fly. Of note, several tissues in Drosophila are amenable to mosaic analysis, including the fat body (26,27). Artfully designed genetic screens in Drosophila have resulted in the identification of novel regulators of the insulin signaling (28,29). There is no doubt that future screens will offer creative and unforeseen insights into the regulation of metabolism that is relevant to humans.
With the availability of robust Drosophila cell lines, genetic screens can be performed not only using the intact fly, but also on the cellular level (30). Drosophila cell lines have proven their efficacy in RNAi-mediated gene silencing, with Drosophila cells having distinct advantages over mammalian cells lines. With the establishment of genome-wide RNAi screening methodologies, powerful genetic screens can be designed on the cellular level. RNAi screens asking metabolic questions have been recently published, and will no doubt continue to be a source of critical leads and hypotheses. Recent examples of screens in the field of metabolism include those probing for genes affecting mitochondrial function and lipid droplet morphology (31,32). The potential wealth of information gleaned from cellular screens can often be readily translated into in vivo testing of candidate genes in live flies.
Another strength of Drosophila genetics is the exquisite control of gene expression. A commonly used tool is the binary Gal4/UAS system for the spatial and temporal regulation of gene expression (33). Transgenic flies are generated that express the yeast transcriptional activator Gal4 in a tissue specific manner; when such tissue specific-Gal4 lines are crossed to transgenic flies containing UAS sites (the Gal4 binding site), sequence downstream of the UAS sites are expressed. Of note, tissue-specific Gal4 drivers are available for many tissues including those involved with metabolism. In fact, public stock centers house large collections of Gal4- and UAS-containing transgenic lines (34). It is possible to over-express or mis-express virtually any gene, and assess any resulting metabolic phenotypes. An exciting development over the last few years is the establishing of stock centers that house collections of transgenic UAS-RNAi flies that allow for the controlled knockdown of genes in vivo (35). Thus, it is also now possible to knockdown virtually any gene in a tissue-specific manner.
CONSERVED MECHANISMS OF CARBOHYDRATE HOMEOSTASIS
Inactivation of Drosophila insulin-producing cells (IPCs) in larvae yields phenotypes that recapitulate many of the presenting features of type I diabetes, such as high circulating carbohydrate levels and poor growth (36). As discussed previously, many of the downstream components of the insulin pathway are conserved in Drosophila, and their mutation also results in growth phenotypes. For example, mutation of chico, the Drosophila homolog of insulin receptor substrate proteins, results in dwarf flies (37). The homology of the insulin pathway extends from the cell surface dInR to downstream nuclear effectors such as the Drosophila forkhead transcription factor dFOXO (38). Thus, both the structure and metabolic function of many of the components of the insulin pathway are conserved between the flies and humans.
DILPs and adipokinetic hormone (AKH) are two counter-regulatory systems that regulate circulating carbohydrate levels in Drosophila (39). As mentioned above, genetic ablation of dILP-producing cells yields larvae with high circulating carbohydrate levels, reminiscent of diabetic phenotypes. Conversely, impairing AKH secretion, a functional analog of mammalian glucagon, results in larvae with low circulating carbohydrate levels (for example, see 40). Remarkably, the distinct groups of cells that secrete dILPs and AKH each have extensive branching around the dorsal vessel. Such extensive juxtaposition of these cells with the vasculature is reminiscent of the intimate contact of pancreatic islets with circulating blood. Thus, both the human and the fly have evolved their anatomy to allow for two counter-regulatory groups of hormone secreting cells to regulate circulating extra-cellular sugar levels.
Strikingly, the molecular mechanisms by which Drosophila larvae sense circulating glucose levels are the very same that are used by pancreatic islets (41). The AKH-producing cells also express the Drosophila homolog of the sulfonylurea receptor (SUR). In mammals, insulin-secreting pancreatic cells use SUR to trigger hormone release (42). In contrast, it is the glucagon-like AKH peptide secreting cells that use Drosophila sulfonylurea receptor to trigger AKH release in response to low sugar levels. Sulfonylurea drugs, used in the treatment of diabetes in humans, also affect sugar levels in Drosophila, providing a dramatic example of how both humans and flies use the same mechanisms to regulate sugar homeostasis. However, in contrast to humans, sugar levels are increased in Drosophila upon administration of sulfonylureas, reflecting the expression of SUR on only the glucagon-like AKH-producing cells.
CONSERVED MECHANISMS REGULATING LIPID HOMEOSTASIS
There is such a thing as a fat fly. Indeed, recent work has generated both lean and obese mutant flies in the laboratory. Furthermore, mechanistic studies of naturally occurring obese mutant flies has revealed mechanisms regulating adiposity across species. One of the first characterized mutant flies with increased triglyceride content was mapped to the Drosophila adipose (adp) gene (43). Recently, it was demonstrated that the mammalian homologs of adp are also regulators of lipid content in mammals (44). Obese flies have also been generated upon mutation of critical regulators of lipolysis in Drosophila (see below); these studies highlight the importance of pathways involved with triglyceride mobilization as critical determinants of adiposity.
Drosophila fat body cells share many characteristics of mammalian adipocytes. Both cells contain numerous lipid droplets, which are now appreciated to be dynamic organelles regulating lipid mobilization and storage (45). The protein composition of Drosophila lipid droplets shares significant homology with mammalian lipid droplet proteins (46). For example, PAT families of proteins are major components of membranes of both mammalian and Drosophila lipid droplets. Drosophila LSD2 is a homolog of mammalian perilipin, both of which are major components of lipid droplet membranes, and are thought to be key regulators of lipolysis. Flies mutant for the lsd2 gene are lean, recapitulating the phenotypes observed in perilipin knockout mice (47–49). Interestingly, over-expression of lsd2 in a fat body-specific manner results in obese phenotypes. Undoubtedly, other conserved lipid droplet proteins will be shown to assume similar roles across species. In some cases, the role in Drosophila will be implicated before a clear physiologic role has been assigned in mammals, perhaps acting as a stimulus for further investigation.
In Drosophila, the AKH hormone pathway and the lipid droplet-bound brummer (bmm) lipase are the two major lipolytic mechanisms. The role of the AKH pathway in carbohydrate homeostasis has already been discussed. The AKH receptor (AKHR) is expressed in the Drosophila fat body, consistent in its role in mediating energy homeostasis (50,51). Double mutants of the AKHR and bmm are markedly obese, yet lack the ability to mobilize their lipid stores upon starvation. Whereas starvation resistance in Drosophila is correlated with lipid content, mutation in both genes effectively renders these flies starvation sensitive. The existence of two lipolytic pathways in Drosophila parallels the existence of both hormone-sensitive and adipose triglyceride lipase pathways in mammals. The investigation of lipolytic mechanisms in Drosophila is ripe for investigation. Ironically, the intracellular signaling cascade mediating mobilization of triglycerides from lipid droplets has not been as fully elucidated in insects as it has in mammals (52). As more information is gleaned in the fly, clear links to mammalian physiology will undoubtedly be uncovered.
THE HUNGRY FLY
Drosophila research has made important early contributions in connecting genes with behavior, and flies have a variety of feeding behaviors that have been described (53,54). Studies in each stage of the Drosophila life cycle can increase our understanding of molecular mechanisms that can affect food intake, food preferences, and satiety. Larvae feed continually to acquire enough energy stores for undergoing pupation and metamorphosis. In contrast, adult flies feed intermittently to maintain energy homeostasis. Thus, each stage of the life cycle offers a unique milieu in which to conduct metabolic studies. The ability to define and analyze feeding in Drosophila allows researchers to design forward genetic screens with discreet behavioral endpoints.
Studies in the larval stage have shed light on the genetics of food-intake and signals that mediate the cessation of feeding. Drosophila larvae can be characterized as “sitters,” localizing closer to a food source, or “rovers,” meandering further from a food source. The dichotomy in behavior can be attributed to the variation of the single gene foraging (for), which encodes a cGMP-dependent protein kinase. Higher levels of kinase activity lead to a rover phenotype; in fact, sitters can be converted to rovers by transgenic expression of for. Variations in for also account for differences in feeding behaviors in the adult stage, indicating that the effect of certain genes can persist throughout the entire life cycle. Of note, the human homolog of for, c-GMP-dependent protein kinase 1 (cGK1), has been may play a role in energy homeostasis, with altered expression patterns have been associated with obesity and diabetes (55).
As mentioned earlier, the transparent larval body wall allows for the design of facile screens for genes that regulate food intake. An elegant example can be found in a screen employing dye-labeled yeast paste to monitor ingestion dynamics of whole intact larvae (56). The screen uncovered mutants that had decreased feeding with impaired passage of food from the hindgut to midgut despite having normal anatomy. The screen identified the fat body-specific gene pumpless (ppl), which encodes a protein homologous to those found in vertebrate glycine cleavage systems. Ppl mutants accumulate food in the pharynx, with decreased overall growth. Indeed, feeding larvae large amounts of amino acids also suppressed growth and, under certain conditions, can recapitulate ppl mutant phenotypes. Any potential interaction of ppl with the insulin-signaling pathway remains to be determined. Thus, work in Drosophila can provide a rich template for the study of general mechanisms that link nutrient-dependent signaling with feeding behavior.
ENERGY HOMEOSTASIS AND THE FLY BRAIN
The brain profoundly affects feeding behavior and satiety in humans; similarly, recent work points toward a rich regulation of energy homeostasis in the fly by neuronal feeding circuits (11). Although containing only approximately 100,000 neurons, the investigation of the fly brain has provided a myriad of insights into neurobiology; for example, studies in the Drosophila brain have provided a wealth of information for understanding neuronal development and connectivity. It is now apparent that the Drosophila brain contains regions that are highly specialized for specific functions, such as for processing chemosensory information (57). The study of the neuronal circuitry of feeding behavior is a nascent field that has the potential to uncover remarkable parallels between the human and fly.
Circulating neuropeptides can have a profound effect on energy homeostasis in mammals, and the same holds true for flies. Remarkably, many of the same families of peptides are used in both to affect energy homeostasis and feeding behavior. For example, homologues of neuropeptide Y (NPY) and neuromedin U modulate feeding behavior in the fly, reminiscent of their roles in mammals. Of note, not all peptides are conserved across species. For example, leptin, a major determinant of energy homeostasis in humans, has no clear homolog in the fly. Nonetheless, a better understanding of Drosophila neuropeptides that regulate energy homeostasis has the potential to uncover conserved mechanisms of intracellular neuronal signaling, neuronal-neuronal communication, and neuronal-peripheral tissue communication that are critical for maintaining and distributing energy stores.
The Drosophila NPY homologue short neuropeptide F has recently been shown to play a role in modulating the secretion of dILPs (58,59). Insulin-producing pancreatic islets are also response to NPY in mammals. In contrast to the localization of human insulin-secreting cells in peripheral pancreatic tissue, dILPs are secreted by small-paired clusters of neurons in the Drosophila brain. Interestingly, the development of dILP-secreting neurons has been shown to involve pathways homologous to those involved in the formation of the mammalian hypothalamic axis (60). Taken together, recent studies in Drosophila suggest the intriguing possibility that insulin-producing pancreatic islets may have a hypothalamic origin. The neuropeptide F and dILP systems have also been shown to play a role in feeding behavior in Drosophila larvae, consistent with their role in appetitive behavior and metabolic regulation in humans. The Drosophila neuropeptide hugin is thought to be a homolog of human neuromedin U, and it also has been implicated in regulation of feeding behavior (61). Hugin-expressing neurons are situated to integrate gustatory information to higher brain centers and may serve as critical interneurons in the Drosophila feeding circuit.
A MODEL FOR INBORN ERRORS OF METABOLISM
In addition to the power of forward genetic screens, which hold the potential for unexpected, paradigm-shifting findings, the study of Drosophila homologs of genes that cause human disease is an important, complementary approach. If there is a human disease caused by a specific genetic defect, what are the chances that a homolog exists in Drosophila? The answer to this question is approximately 70%; that is to say, the vast majority of disease-causing genes in humans have a Drosophila version (4). Do mutations in human and Drosophila genes cause similar phenotypes? In other words, do parallels exist beyond molecular mechanisms of action to conserved sequelae at the level of the whole organism? As many Drosophila homologs of disease-causing genes have not been extensively studied, particularly with respect to metabolic disease, the area remains ground for fertile investigation (62).
The study of Drosophila homologs of enzymes that cause human metabolic disease is an avenue of research that can yield insight into disorders of both lipid and carbohydrate homeostasis. There is no guarantee that the phenotypes in Drosophila will resemble human phenotypes; nonetheless, there is a high probability that the molecular mechanisms are conserved, yielding insights into protein-protein interactions and intracellular signaling. A variety of enzymes are conserved between flies and humans that are important for both lipid and carbohydrate homeostasis. As an example, flies mutant for bgm, the Drosophila homolog of the very long fatty acid CoA synthetase that causes adrenoleukodystophy, have phenotypes that include neurodegeneration and abnormal fatty acid metabolism (63). Remarkably, administration of Lorenzo's Oil, used to treat human adrenoleukodystophy, also ameliorates the phenotypes observed in the fly.
Glycogen storage diseases are caused by a variety of mutations in enzymes important for the synthesis and breakdown of glycogen. Although the main circulating carbohydrate in Drosophila is trehalose (a dimer of sucrose), many of the same enzymes regulate the conversion of trehelose to Drosophila glycogen (64,65). Thus, studies in Drosophila can form a rich template for a better understanding of mechanisms of glycogen storage and breakdown. In summary, Drosophila offers the potential for mechanistic investigation of a variety of genes causing metabolic disease, including key enzymatic regulators of carbohydrate and lipid metabolism.
THE PEDIATRICIAN AND THE DROSOPHILIST
As pediatricians, we are often the first to diagnose and manage patients with genetic mutations. As highlighted above, the vast majority of genes that cause human disease have a Drosophila homolog. Thus, it is particularly imperative for the pediatric researcher to appreciate that there is a likely Drosophila version of any gene that may be under investigation. Befriending a colleague with a fly laboratory may be the first step in establishing a productive collaboration. The fly worker is often a bench scientist, with limited exposure to the clinical arena. Thus, a mutually beneficial, complementary relationship can often be established. Interestingly, there is a growing (but still small) contingent of pediatricians doing fly research, who are in a position to synthesize both clinical and basic sciences into their research programs.
KEY POINTS
In summary, the three most important reasons that make the fly important to metabolic research are 1) the conservation of many major metabolic pathways and potential for conserved phenotypes that result upon their manipulation; 2) the unprecedented ability to perform forward genetic screens with metabolic and behavioral endpoints; and 3) the short life cycle offers both relative speed and cost-effectiveness in obtaining data with cross-species significance.
Acknowledgments.
I extend my appreciation to the Departments of Pediatric Endocrinology and Biologic Chemistry at the UCLA David Geffen School of Medicine. I also thank Dr. Solomon Kaplan for his mentorship and acting as a role model through his accomplishments as a physician-scientist.
Abbreviations
- AKH:
-
adipokinetic hormone
- dILP:
-
Drosophila insulin-like peptide
- For:
-
foraging
- NPY:
-
neuropeptide F
- Ppl:
-
pumpless
References
Ogden CL, Carroll MD, Curtin LR, McDowell MA, Tabak CJ, Flegal KM . Prevalence of overweight and obesity in the United States 1999–2004. 2006 JAMA 295: 1549–1555
Cali AM, Caprio S 2008 Prediabetes and type 2 diabetes in youth: an emerging epidemic disease?. Curr Opin Endocrinol Diabetes Obes 15: 123–127
National Institutes of Health 2003 Help Wanted: Pediatric Endocrinologists. Available at: http://www.nih.gov/news/pr/jan2003/niddk-29.htm. Accessed September 29, 2008
Chien S, Reiter LT, Bier E, Gribskov M 2002 Homophila: human disease gene cognates in Drosophila. Nucleic Acids Res 30: 149–151
Baker KD, Thummel CS 2007 Diabetic larvae and obese flies-emerging studies of metabolism in Drosophila. Cell Metab 6: 257–266
Melcher C, Bader R, Pankratz MJ 2007 Amino acids, taste circuits, and feeding behavior in Drosophila: towards understanding the psychology of feeding in flies and man. J Endocrinol 192: 467–472
Schlegel A, Stainier DY 2007 Lessons from “lower” organisms: what worms, flies, and zebrafish can teach us about human energy metabolism. PLoS Genet 3: e199
Hartenstein V 1993 Atlas of Drosophila Development. Woodbury, NY: Cold Spring Harbor Laboratory Press
Canavoso LE, Jouni ZE, Karnas KJ, Pennington JE, Wells MA 2001 Fat metabolism in insects. Annu Rev Nutr 21: 23–46
Dow JA, Davies SA 2006 The Malpighian tubule: rapid insights from post-genomic biology. J Insect Physiol 52: 365–378
Bader R, Colomb J, Pankratz B, Schrock A, Stocker RF, Pankratz MJ 2007 Genetic dissection of neural circuit anatomy underlying feeding behavior in Drosophila: distinct classes of hugin-expressing neurons. J Comp Neurol 502: 848–856
Gutierrez E, Wiggins D, Fielding B, Gould AP 2007 Specialized hepatocyte-like cells regulate Drosophila lipid metabolism. Nature 445: 275–280
Pitsouli C, Perrimon N 2008 Developmental biology: Our fly cousins' gut. Nature 454: 592–593
Rizki TM 1978 Fat Body. In: Ashburner M and Wright TRF (eds) The Genetics and Biology of Drosophila. London: Academic Press, pp 561–601
Aguila JR, Suszko J, Gibbs AG, Hoshizaki DK 2007 The role of larval fat cells in adult Drosophila melanogaster. J Exp Biol 210: 956–963
Hwangbo DS, Gershman B, Tu MP, Palmer M, Tatar M 2004 Drosophila dFOXO controls lifespan and regulates insulin signalling in brain and fat body. Nature 429: 562–566
Rosen ED, Spiegelman BM 2006 Adipocytes as regulators of energy balance and glucose homeostasis. Nature 444: 847–853
Ferrandon D, Imler JL, Hetru C, Hoffmann JA 2007 The Drosophila systemic immune response: sensing and signalling during bacterial and fungal infections. Nat Rev Immunol 7: 862–874
Arquier N, Geminard C, Bourouis M, Jarretou G, Honegger B, Paix A, Leopold P 2008 Drosophila ALS regulates growth and metabolism through functional interaction with insulin-like peptides. Cell Metab 7: 333–338
Honegger B, Galic M, Kohler K, Wittwer F, Brogiolo W, Hafen E, Stocker H 2008 Imp-L2, a putative homolog of vertebrate IGF-binding protein 7, counteracts insulin signaling in Drosophila and is essential for starvation resistance. J Biol 7: 10
Arquier N, Leopold P 2007 Fly foie gras: modeling fatty liver in Drosophila. Cell Metab 5: 83–85
Dahmann C(ed) 2008 Drosophila: Methods and Protocols. Totowa: Humana Press
St Johnston D 2002 The art and design of genetic screens: Drosophila melanogaster. Nat Rev Genet 3: 176–188
Beller M, Oliver B 2006 One hundred years of high-throughput Drosophila research. Chromosome Res 14: 349–362
Wu Q, Brown MR 2006 Signaling and function of insulin-like peptides in insects. Annu Rev Entomol 51: 1–24
Juhasz G, Neufeld TP 2008 Experimental control and characterization of autophagy in Drosophila. In: Deretic V (ed) Autophagosome and Phagosome. Totowa: Humana Press, pp 125–133
Manfruelli P, Reichhart JM, Steward R, Hoffmann JA, Lemaitre B 1999 A mosaic analysis in Drosophila fat body cells of the control of antimicrobial peptide genes by the Rel proteins Dorsal and DIF. EMBO J 18: 3380–3391
Wittwer F, Jaquenoud M, Brogiolo W, Zarske M, Wustemann P, Fernandez R, Stocker H, Wymann MP, Hafen E 2005 Susi, a negative regulator of Drosophila PI3-kinase. Dev Cell 8: 817–827
Fuss B, Becker T, Zinke I, Hoch M 2006 The cytohesin Steppke is essential for insulin signalling in Drosophila. Nature 444: 945–948
Perrimon N, Mathey-Prevot B 2007 Applications of high-throughput RNA interference screens to problems in cell and developmental biology. Genetics 175: 7–16
Chen J, Shi X, Padmanabhan R, Wang Q, Wu Z, Stevenson SC, Hild M, Garza D, Li H 2008 Identification of novel modulators of mitochondrial function by a genome-wide RNAi screen in Drosophila melanogaster. Genome Res 18: 123–136
Guo Y, Walther TC, Rao M, Stuurman N, Goshima G, Terayama K, Wong JS, Vale RD, Walter P, Farese RV 2008 Functional genomic screen reveals genes involved in lipid-droplet formation and utilization. Nature 453: 657–661
McGuire SE, Roman G, Davis RL 2004 Gene expression systems in Drosophila: a synthesis of time and space. Trends Genet 20: 384–391
Matthews KA, Kaufman TC, Gelbart WM 2005 Research resources for Drosophila: the expanding universe. Nat Rev Genet 6: 179–193
Dietzl G, Chen D, Schnorrer F, Su KC, Barinova Y, Fellner M, Gasser B, Kinsey K, Oppel S, Scheiblauer S, Couto A, Marra V, Keleman K, Dickson BJ 2007 A genome-wide transgenic RNAi library for conditional gene inactivation in Drosophila. Nature 448: 151–156
Rulifson EJ, Kim SK, Nusse R 2002 Ablation of insulin-producing neurons in flies: growth and diabetic phenotypes. Science 296: 1118–1120
Brogiolo W, Stocker H, Ikeya T, Rintelen F, Fernandez R, Hafen E 2001 An evolutionarily conserved function of the Drosophila insulin receptor and insulin-like peptides in growth control. Curr Biol 11: 213–221
Puig O, Tjian R 2006 Nutrient availability and growth: regulation of insulin signaling by dFOXO/FOXO1. Cell Cycle 5: 503–505
Van der Horst DJ 2003 Insect adipokinetic hormones: release and integration of flight energy metabolism. Comp Biochem Physiol B Biochem Mol Biol 136: 217–226
Lee G, Park JH 2004 Hemolymph sugar homeostasis and starvation-induced hyperactivity affected by genetic manipulation of the adipokinetic hormone-encoding gene in Drosophila melanogaster. Genetics 167: 311–323.
Kim SK, Rulifson EJ 2004 Conserved mechanisms of glucose sensing and regulation by Drosophila corpora cardiaca cells. Nature 431: 316–320
Sperling MA 2006 ATP-sensitive potassium channels–neonatal diabetes mellitus and beyond. N Engl J Med 355: 507–510
Hader T, Muller S, Aguilera M, Eulenberg KG, Steuernagel A, Ciossek T, Kuhnlein RP, Lemaire L, Fritsch R, Dohrmann C, Vetter IR, Jackle H, Doane WW, Bronner G 2003 Control of triglyceride storage by a WD40/TPR-domain protein. EMBO Rep 4: 511–516
Suh JM, Zeve D, McKay R, Seo J, Salo Z, Li R, Wang M, Graff JM 2007 Adipose is a conserved dosage-sensitive antiobesity gene. Cell Metab 6: 195–207
Goodman JM 2008 The gregarious lipid droplet. J Biol Chem 283: 28005–28009
Beller M, Riedel D, Jansch L, Dieterich G, Wehland J, Jackle H, Kuhnlein RP 2006 Characterization of the Drosophila lipid droplet subproteome. Mol Cell Proteomics 5: 1082–1094
Brasaemle DL 2007 Thematic review series: adipocyte biology. The perilipin family of structural lipid droplet proteins: stabilization of lipid droplets and control of lipolysis. J Lipid Res 48: 2547–2559
Teixeira L, Rabouille C, Rorth P, Ephrussi A, Vanzo NF 2003 Drosophila Perilipin/ADRP homologue Lsd2 regulates lipid metabolism. Mech Dev 120: 1071–1081
Gronke S, Beller M, Fellert S, Ramakrishnan H, Jackle H, Kuhnlein RP 2003 Control of fat storage by a Drosophila PAT domain protein. Curr Biol 13: 603–606
Bharucha KN, Paul T, Ziipursky SL 2008 A glucagon-like endocrine pathway in Drosophila modulates both lipid and carbohydrate homeostasis. J Exp Biol 211: 3103–3110
Gronke S, Muller G, Hirsch J, Fellert S, Andreou A, Haase T, Jackle H, Kuhnlein RP 2007 Dual lipolytic control of body fat storage and mobilization in Drosophila. PLoS Biol 5: e137
Patel RT, Soulages JL, Hariharasundaram B, Arrese EL 2005 Activation of the lipid droplet controls the rate of lipolysis of triglycerides in the insect fat body. J Biol Chem 280: 22624–22631
Sokolowski MB 2001 Drosophila: genetics meets behaviour. Nat Rev Genet 2: 879–890
Dethier VG 1976 The Hungry Fly. Cambridge: Harvard University Press
Kaun KR, Riedl CA, Chakaborty-Chatterjee M, Belay AT, Douglas SJ, Gibbs AG, Sokolowski MB 2007 Natural variation in food acquisition mediated via a Drosophila cGMP-dependent protein kinase. J Exp Biol 210: 3547–3558
Zinke I, Kirchner C, Chao LC, Tetzlaff MT, Pankratz MJ 1999 Suppression of food intake and growth by amino acids in Drosophila: the role of pumpless, a fat body expressed gene with homology to vertebrate glycine cleavage system. Development 126: 5275–5284
Vosshall LB, Stocker RF 2007 Molecular architecture of smell and taste in Drosophila. Annu Rev Neurosci 30: 505–533
Lee KS, Kwon OY, Lee JH, Kwon K, Min KJ, Jung SA, Kim AK, You KH, Tatar M, Yu K 2008 Drosophila short neuropeptide F signalling regulates growth by ERK-mediated insulin signalling. Nat Cell Biol 10: 468–475
Wu Q, Zhao Z, Shen P 2005 Regulation of aversion to noxious food by Drosophila neuropeptide Y- and insulin-like systems. Nat Neurosci 8: 1350–1355
Wang S, Tulina N, Carlin DL, Rulifson EJ 2007 The origin of islet-like cells in Drosophila identifies parallels to the vertebrate endocrine axis. Proc Natl Acad Sci USA 104: 19873–19878
Melcher C, Pankratz MJ 2005 Candidate gustatory interneurons modulating feeding behavior in the Drosophila brain. PLoS Biol 3: e305
Dow JA 2007 Integrative physiology, functional genomics and the phenotype gap: a guide for comparative physiologists. J Exp Biol 210: 1632–1640
Min KT, Benzer S 1999 Preventing neurodegeneration in the Drosophila mutant bubblegum. Science 284: 1985–1988
Eanes WF, Merritt TJ, Flowers JM, Kumagai S, Sezgin E, Zhu CT 2006 Flux control and excess capacity in the enzymes of glycolysis and their relationship to flight metabolism in Drosophila melanogaster. Proc Natl Acad Sci USA 103: 19413–19418
Tick G, Cserpan I, Dombradi V, Mechler BM, Torok I, Kiss I 1999 Structural and functional characterization of the Drosophila glycogen phosphorylase gene. Biochem Biophys Res Commun 257: 34–43
Author information
Authors and Affiliations
Corresponding author
Additional information
University of Texas Southwestern Medical Center Department of Pediatrics Institutional Research Funds were used to finance this work. The author's pediatric subspecialty training research was supported by a Pediatric Scientist Development Program Grant (K12-HD00850).
Developmental Biology: Model Systems - A Series of Reviews
This is the fifth and final article focusing on model organisms to study development. In this review Dr. Kamal Bharucha reviews Drosophila melanogaster as a model to study metabolism.
Sherin U. Devaskar, M.D.
Editor-in-Chief
Rights and permissions
About this article
Cite this article
Bharucha, K. The Epicurean Fly: Using Drosophila Melanogaster to Study Metabolism. Pediatr Res 65, 132–137 (2009). https://doi.org/10.1203/PDR.0b013e318191fc68
Received:
Accepted:
Issue Date:
DOI: https://doi.org/10.1203/PDR.0b013e318191fc68
This article is cited by
-
High fat diet alters Drosophila melanogaster sexual behavior and traits: decreased attractiveness and changes in pheromone profiles
Scientific Reports (2018)
-
Drosophila glucome screening identifies Ck1alpha as a regulator of mammalian glucose metabolism
Nature Communications (2015)
-
Of flies and men: insights on organismal metabolism from fruit flies
BMC Biology (2013)