Quantitative food-intake assays with dyed food provide a robust and high-throughput means to evaluate feeding motivation. Combining the food consumption assay with thermogenetic and optogenetic screens is a powerful approach to investigate the neural circuits underlying appetite in adult Drosophila melanogaster.
Food consumption is under the tight control of the brain, which integrates the physiological status, palatability, and nutritional contents of the food, and issues commands to start or stop feeding. Deciphering the processes underlying the decision-making of timely and moderate feeding carries major implications in our understanding of physiological and psychological disorders related to feeding control. Simple, quantitative, and robust methods are required to measure the food ingestion of animals after experimental manipulation, such as forcibly increasing the activities of certain target neurons. Here, we introduced dye-labeling-based feeding assays to facilitate the neurogenetic study of feeding control in adult fruit flies. We review available feeding assays, and then describe our methods step-by-step from setup to analysis, which combine thermogenetic and optogenetic manipulation of neurons controlling feeding motivation with dye-labeled food intake assay. We also discuss the advantages and limitations of our methods, compared with other feeding assays, to help readers choose an appropriate assay.
Quantifying the amount of food ingested is important for evaluating multiple aspects of feeding controls by the brain in responding to the internal needs (such as hunger states) and external factors (such as food quality and palatability)1,2,3,4,5,6,7,8,9. In recent years, the efforts of deciphering the neural substrates of feeding control in Drosophila lead to the development of multiple assays to directly quantify the amount of food ingested or serve as an indicator of feeding motivation10,11,12,13,14,15,16.
The CApillary FEeder (CAFE) assay12,13 was developed to measure the amount of consumption of liquid food in a glass microcapillary. The CAFE assay is highly sensitive and reproducible17 and simplifies the measurement of food consumption, especially for quantifying long-term feeding18. However, this assay requires the flies to climb to the tip of the microcapillary and feed upside-down, which is not suitable for all strains. Additionally, because the flies to be tested using the CAFE assay have to be reared on liquid food, the effect of these rearing conditions on metabolism status or the potential malnutrition remains to be determined.
The Proboscis Extension Response (PER) assay11,14 counts the frequency of proboscis extension responses toward gentle touches of food drops. PER assay proved as an excellent way to evaluate feeding motivation of individual fly and asses the influence of palatability and content of food18,19. However, it is not a direct quantification of intake amount.
Recently, a semi-automatic method, the manual feeding assay (MAFE)15, was developed. In MAFE, a single immobilized fly is fed manually with a microcapillary containing food. Given that proboscis extension responses and food consumption can be monitored simultaneously, MAFE is suitable for assessing nutrient values and the effects of pharmacological manipulation. However, immobilizing a fly might negatively impact its behavioral performance, including feeding.
Additionally, fly Proboscis and Activity Detector (FlyPAD)10 was developed to automatically quantify feeding behavior. Using machine vision methods, FlyPAD records physical interactions between a fly and food to quantify the frequency and duration of proboscis extensions as an indicator of feeding motivation. FlyPAD provides a high-throughput approach to monitor the feeding behaviors of a free-moving fly, although the sensitivity and robustness of this system remains to be further confirmed by more studies12.
Labeling strategies are frequently used to estimate food ingestion in flies. It is common to label food with chemical tracers and, after feeding, measure the amount of ingested tracer to calculate the quantity of food intake. Radioactive tracers16,17,20,21,22,23,24,25 allow for the detection through the cuticle without homogenization of the flies. This method provides remarkably low variability and high sensitivity18, and is feasible for long-term study of food intake. However, the availability of usable radioisotopes and different rates of absorbance and excretion should be taken into consideration when working with this assay.
Labeling and tracing food intake with non-toxic food colors is a safer and simpler alternative2,3,26,27,28. Flies are homogenized after feeding with food containing soluble and non-absorbable dyes, and the amount of the ingested dye is later quantified using a spectrophotometer3,24,28,29. The labeling strategy is easy to perform and provides high efficiency, but with a caveat. The volume of food intake estimated from the ingested dye is smaller than the actual volume because excretion begins as early as 15 min after flies start feeding17. Additionally, the assay assesses food ingestion typically within a 60-min period, which is only suitable for investigation of short-term feeding behavior24,28. Moreover, multiple internal and external factors, such as genotype17, gender17, mated state17, rearing density30, circadian rhythm31,32, and food quality3,8,16, influence food intake. Therefore, the feeding duration might need to be adjusted according to specific experimental conditions. Besides facilitating the quantification of food intake, food colors are also used to assess food choices2,19,27, and to visualize the meniscus in a microcapillary in CAFE assay12.
Here, we introduce a protocol combined manipulation of neuronal activity with dye-labeling approach. This strategy has been proved useful in our neurogenetic study on feeding control in adult fruit flies24. The visual scoring method allows for a quick estimation of food consumption; thus, it is useful for screening through a large number of strains in a timely fashion. The candidates from the screen are then analyzed in detail using a colorimetric method to provide objective and precise quantification in additional study.
Besides the feeding assays, we also describe the thermogenetic27,33,34,35 and optogenetic36 methods of forcibly activating target neurons in Drosophila. To activate neurons by thermogenetic operation is simple and convenient with Drosophila Transient Receptor Potential Ankyrin 1 (dTRPA1), which is a temperature- and voltage-gated cation channel that increases neuronal excitability when the ambient temperature rises above 23 °C33,37; however, testing animals at high temperatures might produce adverse effects on behavior. Another effective approach to activate neurons in Drosophila is using optogenetics with CsChrimson36, which is a red-shifted variant of channelrhodopsin that increases the excitability of neurons when exposed to light. Optogenetics offers higher temporal resolution and lesser disturbance to behaviors than thermogenetics. Combining the quantitative measurement of food intake with the manipulation of neuronal activity represents an effective approach for studying the neural mechanisms of feeding.
We describe in detail the preparation of the feeding chamber and the flies to be tested. Using Taotie-Gal4 flies as a model24, we describe activating neurons by thermogenetics and optogenetics. Two assays of quantification of food consumption with dye-labeled food are also described in the protocol.
1. Preparing the feeding chamber
Note: The feeding chamber for dye-labeling feeding assay consists of two parts: the outside container (as a cover) and the inside container (as food source).
2. Preparation of flies
Note: Adult female flies 5 to 10 day after eclosion are normally used for feeding assays. It is recommended to Prepare flies of different genotypes, including genetic controls, and to test in parallel. 20 flies (from one feeding chamber) generate one data point.
3. Thermogenetic activation
4. Optogenetic activation
5. Visual estimation of food consumption
Note: The visual scoring approach provides a semi-quantitative estimation of food consumptions. Although it is not as objective as the optical method, this method allows for going through a large number of fly strains in a timely fashion, making it suitable for the first round of a genetic screen to quickly narrow down the list of candidates for further tests.
6. Colorimetric quantification of food consumption
Thermogenetic screen.
Abnormally increased appetite causes elevated food intake, regardless of physiological needs. We utilized this scheme to design a high-throughput behavioral screen to obtain genetic handles of neurons related to hunger and satiated states (Figure 1). The screen yielded Taotie-Gal424. When the Taotie-Gal4 neurons were forcibly activated at 30 °C, the Taotie>TrpA1 flies ingested larger quantities of food than the controls (Figure 2, Figure 3).
Visually scoring the food consumption.
Because some neurotransmitters and neuropeptides have been indicated in the regulation of feeding behavior, we have tested the corresponding GAL4 lines, including NPF20, sNPF39, octopamine21, dopamine27,40, serotonin41,42, AKH35, and Dilp27,8,35. To quantify the feeding response, we visually inspected and scored flies with various amounts of detectable dye in the gut (Figure 2A). After activation of Taotie neurons, about 58% of Taotie>dTrpA1 flies exhibited strong feeding behaviors, and 23% of these showed mild feeding behaviors (Figure 2B). In contrast, only marginal feeding behaviors were observed in flies with other neurons activated via dTrpA1 (Figure 2B).
Colorimetric quantification of food intake.
To quantify food intake with high precision and objectivity, we measured the absorbance of fly extraction at a wavelength specific to the added dye in the food2,27,28. To correlate an absorbance value with the volume of food-intake, a standard curve was obtained by measuring the absorbance of the sample solutions (the same buffer for homogenizing the flies, PBST) mixed with different amounts of dyes). As our results demonstrate, acute activated Taotie-GAL4 neurons by TRPA1 dramatically increased food intake compared with genetic control and the temperature control during the same test period (Figure 3B), suggesting that the Taotie-GAL4 labeled neurons participate in regulation of food intake of adult Drosophila.
Optogenetic activation to promote food intake in Drosophila.
We used UAS-CsChrimson to activate Taotie neurons by illumination with an orange light36 (Figure 4A, 4B). When Taotie>CsChrimson flies were stimulated by LED lights at 607 nm, they ingested significantly more food than controls (Figure 4C). Furthermore, the amounts of ingested food correlated well with the intensities of stimulation light (Figure 4D). Thus, besides thermogenetics with dTrpA1, optogenetic activation with CsChrimson in Taotie neurons also promotes feeding motivation in satiated flies.
Figure 1. A feeding paradigm for analyzing appetite in adult flies. (A) The feeding chamber contains an inside container filled with dye-colored food and an outside container padded with 1% agarose. From left to right, the inside container, the outside container, and the complete feeding chamber. (B) The inside container sits on top of the agarose pad at the bottom of the outside container. (C) Top view of the feeding chamber. (D) A schematic showing the "appetite screen" experiment. Normal satiated flies rarely ate food (left vial), while forcibly activating certain feeding control neurons caused satiated flies to ingest additional food, thus exhibiting dye-colored food in the abdomen (right vial). Please click here to view a larger version of this figure.
Figure 2. Visual estimation of food ingestion. (A) Exemplar images to show the criteria for scoring food content in the abdomen. (B) The distribution of feeding scores in flies with indicated neurons being activated by dTrpA1 at 30 °C. No-Gal4: UAS-dTrpA1 (genetic control); NPF-GAL4: neuropeptide F positive neurons; sNPF-GAL4: short neuropeptide F positive neurons; TDC1-GAL4 and TDC2-GAL4: octopamine neurons; TH-GAL4: dopamine neurons; 5-HT: serotonin neurons; AKH: adipokinetic hormone positive neurons; dip2: insulin-like peptide 2 positive neurons; Taotie-GAL4: Taotie-GAL4 labels neurons (n = 120 flies per condition). Please click here to view a larger version of this figure.
Figure 3. Thermogenetic-activation of Taotie neurons increases food consumption in adult flies. (A) An image shows the setup of the thermogenetic activation experiment. The feeding test was performed in an incubator at 30 °C. (B) Food consumption by colorimetric quantification in satiated flies tested at either 30 °C or 22 °C for 1 h. The amount of food consumption of a single fly was calculated from that of 20 flies in one feeding chamber (n = 6). n.s. indicates not significant (p >0.05); ***p <0.001. One-way ANOVA followed with Tukey's post hoc test was used to analyze multiple comparisons. Error bars indicate mean ± SEM. Please click here to view a larger version of this figure.
Figure 4. Optogenetic-activation of Taotie neurons increases the amount of food intake in an intensity-dependent manner. (A,B) Two views of the setup for optogenetic activation. The feeding chambers were laid sideways on a supporting plate and illuminated from the bottom by an array of orange LEDs. The front side of the illumination box was removed to show the inside LEDs. The behavioral experiments were performed inside of an incubator at 25 °C, 60% RH. (C) Food consumption of satiated flies of indicated genotypes when tested under optogenetic illumination or in the dark for 1 h (n = 6). (D) Food ingestion by satiated Taotie>CsChrimson flies was correlated with the illumination intensity (n = 6). n.s. indicates not significant (p >0.05); ***p <0.001, One-way ANOVA followed with Tukey's post hoc test was used to analyze multiple comparisons, Student's t-test for two group comparisons. Error bars indicate mean ± SEM. Please click here to view a larger version of this figure.
This report focuses on the technical process of dye-labeling feeding assays of food consumption in the context of thermogenetic and optogenetic activation to manipulate neurons controlling feeding. This simple and reliable protocol will help to elucidate the function of candidate neurons in feeding control, to measure the food preference of flies, and to identify novel players in the feeding control circuits via feeding-based genetic screens24.
The dye labeling strategy is feasible in investigating short-term feeding behaviors. The dye, erioglaucine disodium, dissolved in and ingested with the food, is a critical indicator of food consumption. Deshpande et al. demonstrated that the blue dye itself showed no influence on feeding when measured by both the CAFE assay and the radioisotope labeling food intake assay17. Similarly, our PER results (stimulating the fly's leg with dye-labeled or dye-free 100 mM sucrose solution) indicated that flies exhibited no significant difference in their response toward dye-labeled or dye-free food. However, there are still no clear data regarding whether the dye is tasteless in Drosophila.
Besides the critical steps indicated in the protocol, pay particular attention to the general status of the flies to be tested. Besides being reared and maintained at a non-overcrowded density, the flies should be handled gently, and avoid unnecessary shocks or stresses, in order to produce consistent feeding results.
The feeding paradigm presented here has certain limitations. First, our methods quantify food consumption over a 60 min period. To evaluate food intakes over longer periods, such as a day, a different method, such as CAFE, would be needed. Second, compared with quantification methods using radioisotopes, the colorimetric method is less sensitive and difficult to resolve differences when amounts of food consumption are low. Third, considering that some flies would begin to discharge as early as 15 min after the start of feeding, this protocol actually measures the net result of food intake and excretion in a population17. Fourth, the colorimetric quantification of food intake described here was for a fly group, estimation of food ingestion of a single fly depends on other feeding assays, such as radioisotope labeling, the MAFE assay, or FlyPAD. Nevertheless, certain advantages of colorimetric quantification of food intake, such as being a simple, stable, visible, and high-throughput method, make it a prime choice for quantification of large numbers of strains, especially for feeding-based genetic screens and the follow-up studies.
The authors have nothing to disclose.
This work was supported in part by National Basic Research Program of China (2012CB825504), National Natural Science Foundation of China (91232720 and 9163210042), Chinese Academy of Sciences (CAS) (GJHZ201302 and QYZDY-SSW-SMC015), Bill and Melinda Gates Foundation (OPP1119434), and 100-Talents Program of CAS to Y. Zhu.
UAS-CsChrimson | Bloomintoon | 55135 | |
UAS-dTrpA1 | Bloomintoon | 26263 | |
TDC1-GAL4 | Bloomintoon | 9312 | |
TDC2-GAL4 | Bloomintoon | 9313 | |
sNPF-GAL4 | Provided by Z. Zhao | ||
NPF-GAL4 | Provided by Y. Rao | ||
TH-GAL4 | Provided by Y. Rao | ||
5-HT-GAL4 | Provided by Y. Rao | ||
AKH-GAL4 | Provided by Y. Rao | ||
dip2-GAL4 | Provided by Y. Rao | ||
Taotie-GAL4 | Provided by J. Carlson | ||
Agarose | Biowest | G-10 | |
Sucrose | Sigma | S7903 | |
Erioglaucine disodium salt | Sigma | 861146 | |
all-trans-retinal | Sigma | R2500 | stored in darkness |
Triton X-100 | Amresco | 9002-93-01 | |
Fly food | 1 L food contains: 77.7 g corn meal, 32.19 g yeast, 5 g agar, 0.726 g CaCl2, 31.62 g sucrose, 63.2 g glucose, 2 g potassium sorbate, pH | ||
1x PBS buffer | 1 L 1X PBS contains: 8 g Nacl, 0.2 g Kcl, 1.44 g Na2HPO4, 0.24 g KH2PO4, pH 7.4 | ||
PBST buffer | 1X PBS with 1% Triton X-100 | ||
Grinding mill | Shang Hai Jing Xin | Tissuelyser-24 | |
Incubator | Ning Bo Jiang Nan | HWS-80 | |
Magnetic stirrer with a heat plate | Chang Zhou Bo Yuan | CJJ 78-1 | |
Spectrometer | Thorlabs | CCS200/M | |
Microplate Spectrophotometer | Thermo Scientific | Multiskan GO Type: 1510, REF 51119200 | |
Fluorescence stereo microscope | Leica | M205FA | |
Stereo microscope | Leica | S6E | |
Outside container | Jiang Su Hai Men | glass vial with a diameter of 31.8 mm and a height of 80 mm (inside dimension) | |
Inside container | Beijing Yi Ran machinery factory | plastic dish with a diameter of 13.6 mm and a height of 7.5 mm (inside dimension) | |
1.5 mL Eppendorf tubes | Hai Men Ning Mong | ||
96 well plate | Corning Incorporated | Costar 3599 | |
LEDs | Xin Xing Yuan Guangdian | 607 nm, 3W | https://item.taobao.com/item.htm?id=20158878058 |