Abstract
Mei-P26 is associated with cell-fate regulation in Drosophila melanogaster . In prior work, offspring of Western diet-fed fathers exhibited hyperphagia accompanied by increased brain Mei-P26. Because feeding is regulated by insulin/ILP signaling, we tested whether altering mei-p26 expression in insulin-producing cells affects behavioral and metabolic outcomes. Here we show that overexpression of mei-p26 in ILP2 neurons reduced feeding (FLIC), consumption (ConEx), locomotor activity, and glucose levels by 30-50%, whereas mei-p26 knockdown produced opposite effects. These effects were consistent across sexes, identifying Mei-P26 as a potential regulator within insulin-producing cells associated with bidirectional changes in adult behavioral and metabolic readouts.
Figure 1. ILP2-specific manipulation of Meip26 alters glucose homeostasis, locomotor activity, and feeding behavior in adult flies.
Whole-fly glucose levels, locomotor activity, feeding events, and total food consumption were assessed in adult male and female flies following ILP2-specific overexpression (OE) or knockdown (KD) of Mei-p26.(A-B) Locomotor activity counts in females (A) and males (B) expressing ILP2-driven Mei-p26 overexpression show reduced activity relative to controls. “Counts” represent infrared beam breaks recorded by the Drosophila Activity Monitoring (DAM) system and are expressed as counts per 30-min interval, serving as a quantitative measure of fly movement(C-D) Locomotor activity is increased in females (C) and males (D) expressing ILP2-driven Mei-p26 RNAi.(E-F) Feeding events measured by the Fly Liquid-Food Interaction Counter (FLIC) are increased in females (E) and males (F) upon Mei-p26 knockdown in ILP2 neurons. An “event” is defined as a discrete physical interaction between the fly proboscis and the liquid food source that closes an electrical circuit, serving as a quantitative proxy for feeding behavior.(G-H) Feeding events following ILP2-specific Mei-p26 overexpression are significantly reduced in females (G) and males (H) relative to controls.(I-J) Total food consumption assessed by the Consumption and Excretion (ConEx) assay is increased in males (I) and females (J) expressing Mei-p26 RNAi under control-diet conditions.(K-L) Total food consumption is reduced in females (K) and males (L) expressing Mei-p26 overexpression.(M-N) Whole-fly glucose levels are increased following ILP2-driven Mei-p26 knockdown when normalized to total protein content in females (M), and males (N).(O-P) Whole-fly glucose levels are reduced in females and males expressing ILP2-driven Mei-p26 overexpression when normalized to total protein content
For locomotor assays, n = 20 flies per group. For FLIC assays, n = 12 flies per group. For ConEx assays, n = 8 biological replicates per group, with 15 flies per replicate. For glucose measurements, each biological replicate consisted of 5 flies, with 10 biological replicates per group. Flies were homogenized and glucose levels were quantified using a colorimetric glucose assay (Horiba Glucose Assay Kit, POINTE Scientific). Glucose values were normalized to mean fly weight and/or total protein content as indicated. Bars represent mean values with individual data points shown; error bars indicate SEM. Statistical significance was assessed using unpaired two-tailed Student’s or Welch’s t -tests where appropriate. p < 0.05, p < 0.01, p < 0.001, p < 0.0001; n.s., not significant.
Description
Drosophila insulin-like peptides (DILPs) are evolutionarily conserved regulators of growth, metabolism, and nutrient homeostasis. In adult flies, the major circulating DILPs (DILP2, DILP3, and DILP5) are produced and secreted by a small cluster of neuroendocrine insulin-producing cells (IPCs) located in the pars intercerebralis of the brain, functionally analogous to mammalian pancreatic β-cells (Brogiolo et al., 2001; Rulifson et al., 2002; Nässel & Vanden Broeck, 2016). These peptides signal through the Drosophila insulin receptor to regulate systemic carbohydrate metabolism, energy storage, growth, lifespan, and feeding behavior (Broughton et al., 2005; Grönke et al., 2010). IPC activity is dynamically modulated by nutritional state and circulating metabolites, allowing rapid adjustment of peptide synthesis and secretion in response to dietary inputs (Manière et al., 2016). Among the DILPs, DILP2 is one of the predominant insulin-like peptides in adult IPCs and plays a central role in coordinating feeding and metabolic homeostasis.
Genetic or physiological perturbations of IPC function alter food intake and metabolic balance, underscoring the sensitivity of this neuroendocrine axis to regulatory inputs (Broughton et al., 2005; Grönke et al., 2010). While upstream signaling pathways governing IPC development and ILP secretion have been extensively characterized, comparatively less is known about how intracellular post-transcriptional regulators shape IPC-mediated physiological outputs in adult animals.
In previous work, we reported that offspring derived from fathers exposed to a Western diet for five days displayed a hyperphagic phenotype accompanied by elevated levels of the protein Mei-p26 in the brain (Murashov et al., 2023). Mei-p26 is a conserved TRIM-NHL family RNA-binding protein with established roles in translational regulation and cell-state control in the Drosophila germline (Insco et al., 2009; Insco et al., 2012; Neumüller et al., 2008). Despite this extensive characterization in developmental contexts, whether Mei-p26 contributes to physiological regulation in adult neuroendocrine neurons has not been examined.
Given the established role of IPCs and ILP2-expressing neurons in feeding regulation and systemic metabolic control (Broughton et al., 2005; Grönke et al., 2010), we investigated whether altering Mei-p26 levels specifically in ILP2 neurons affects behavioral and metabolic outputs in adult flies. To this end, we performed ILP2-specific overexpression (OE) and RNAi-mediated knockdown (KD) of Mei-p26 and quantified locomotor activity, feeding behavior, total food consumption, and whole-fly glucose levels in adult male and female flies.
Locomotor activity was measured using the Drosophila Activity Monitoring (DAM) system. ILP2-specific overexpression of Mei-p26 significantly reduced activity counts per 30-minute interval in females ( Figure 1A ) and males ( Figure 1B ) relative to matched controls. Conversely, ILP2-specific knockdown increased locomotor activity in females ( Figure 1C ) and males ( Figure 1D ), demonstrating bidirectional modulation of activity by Mei-p26 in ILP2 neurons. Feeding behavior was assessed using the Fly Liquid-Food Interaction Counter (FLIC), which quantifies discrete proboscis-food contacts as feeding events (Ro et al., 2014). ILP2-specific knockdown of Mei-p26 significantly increased feeding events in females ( Figure 1E ) and males ( Figure 1F ). In contrast, ILP2-driven overexpression reduced feeding events in females ( Figure 1G ) and males ( Figure 1H ).
Total food intake was further quantified using the Consumption-Excretion (ConEx) assay (Shell et al., 2018). Mei-p26 knockdown increased total food consumption in males ( Figure 1I ) and females ( Figure 1K ), whereas overexpression reduced consumption in females ( Figure 1J ) and males ( Figure 1L ). These findings are consistent with the FLIC-derived feeding event measurements. Whole-fly glucose levels were measured and normalized to total protein content. Mei-p26 knockdown increased glucose levels in males ( Figure 1N ), and females ( Figure 1M ). Conversely, ILP2-specific overexpression reduced glucose levels in females ( Figure 1O ) and males ( Figure 1P ).
Across independent behavioral and metabolic assays, ILP2-specific manipulation of Mei-p26 produced reproducible effects: overexpression was associated with reduced locomotor activity, reduced feeding, and lower glucose levels, whereas knockdown resulted in increased activity and feeding, with corresponding elevations in glucose levels in males. Together, these data demonstrate that altering Mei-p26 levels within ILP2-expressing neurons is sufficient to modulate IPC-associated behavioral and metabolic outputs in adult flies.
Methods
Fly Husbandry
All flies were maintained on standard cornmeal-yeast-agar medium under a 12:12 h light-dark cycle at 25 °C. Crosses were established using ILP2-GAL4 driver lines and UAS- mei- P26 overexpression or UAS- mei - P26 RNAi lines. Parental crosses were maintained at 25 °C, and adult progeny were collected within 24 h of eclosion and aged to 5 days prior to behavioral and metabolic assays. Males and females were collected and analyzed separately. All assays were performed using age-matched flies. Stocks obtained from the Bloomington Drosophila Stock Center (NIH P40OD018537) and the Vienna Drosophila Resource Center (VDRC) were used in this study. The following fly lines were used: w 1118 (BDSC_3605), ILP2-GAL4 (BDSC_37516), UAS-mei-P26 (BDSC_25771), mei-P26 RNAi (VDRC_101060).
Genetic Crosses
To manipulate Mei-p26 levels in insulin-producing cells, ILP2-GAL4 was used to drive either overexpression (OE) or RNAi-mediated knockdown (KD) of Mei-p26 in ILP2-expressing neurons. OE and KD experiments were conducted as independent experimental series, and each genotype was compared to its genetic control (ILP2-GAL4 × w1118) generated and assayed in parallel.
Feeding Behavior: Fly Liquid-Food Interaction Counter (FLIC)
Feeding behavior was quantified using the Fly Liquid-Food Interaction Counter (FLIC). Individual age-matched 4-5-day-old flies were loaded into FLIC chambers containing liquid food, and feeding events were recorded continuously for 36-48 h. An event was defined as a discrete proboscis-food contact sufficient to close the electrical circuit, serving as a quantitative proxy for feeding behavior. Data was extracted as total feeding events per fly and normalized per 30-minute intervals. Flies were maintained under controlled environmental conditions during recording.
Food Consumption: Consumption-Excretion (ConEx) Assay
Total food intake was measured using the Consumption-Excretion (ConEx) assay. Groups of age-matched 4-5-day-old flies were transferred to blue dye-labeled (control) or red dye-labeled western diet for 18 h under standard conditions. Following exposure, excreted dye was quantified using UV-Vis spectrophotometry to estimate total consumption. Intake values were recorded and each biological replicate consisted of a defined group of flies assayed in parallel under identical conditions.
Locomotor Activity Monitoring (DAM System)
Locomotor activity was measured using the Drosophila Activity Monitoring (DAM) system (Trikinetics). Individual age-matched 4-5-day-old flies were placed in glass monitoring tubes containing standard food, and infrared beam breaks were recorded as activity counts. Activity was analyzed as average counts per 30-minute interval over the recording period. All recordings were performed under controlled light-dark conditions to minimize circadian variability.
Whole-Fly Glucose Measurement
Whole-fly glucose assays were carried out as described previously (Tennessen et al., 2014). Briefly, groups of five age-matched 4-5-day-old flies were rapidly homogenized in 200 µL of assay buffer using 0.5-1 mm zirconium beads in a Bullet Blender homogenizer (Next Advance, Inc., Troy, NY). The samples were centrifuged for 10 min at 10,000 × g at 4 °C to pellet cellular debris. Total protein levels were measured using the Pierce Rapid Gold BCA Protein Assay Kit (A55860, Thermo Fisher Scientific). Glucose measurements were performed using the Horiba Glucose Assay Kit (G7521-500, POINTE Scientific) and quantified on a SpectraMax plate reader. Glucose levels were normalized to total protein content.
Statistical Analysis
All statistical analyses were performed using GraphPad Prism version 10.0. For each experimental series (OE and KD). Data are presented as mean ± SEM with individual data points shown. Statistical significance between two groups was assessed using unpaired two-tailed Student’s t-tests or Welch’s t-tests where variance differed between groups. A significance threshold of p < 0.05 was applied.
Funding Statement
This research was supported in part by the LSU School of Veterinary Medicine start-up fund (AKM) and NIDDK grant 5R01DK129455-02 (AKM).
References
- Broughton Susan J., Piper Matthew D. W., Ikeya Tomoatsu, Bass Timothy M., Jacobson Jake, Driege Yasmine, Martinez Pedro, Hafen Ernst, Withers Dominic J., Leevers Sally J., Partridge Linda. Longer lifespan, altered metabolism, and stress resistance in Drosophila from ablation of cells making insulin-like ligands . Proceedings of the National Academy of Sciences. 2005 Feb 11;102(8):3105–3110. doi: 10.1073/pnas.0405775102. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Brogiolo Walter, Stocker Hugo, Ikeya Tomoatsu, Rintelen Felix, Fernandez Rafael, Hafen Ernst. An evolutionarily conserved function of the Drosophila insulin receptor and insulin-like peptides in growth control. Current Biology. 2001 Feb 1;11(4):213–221. doi: 10.1016/s0960-9822(01)00068-9. [DOI] [PubMed] [Google Scholar]
- Grönke Sebastian, Clarke David-Francis, Broughton Susan, Andrews T. Daniel, Partridge Linda. Molecular Evolution and Functional Characterization of Drosophila Insulin-Like Peptides. PLoS Genetics. 2010 Feb 26;6(2):e1000857–e1000857. doi: 10.1371/journal.pgen.1000857. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Insco Megan L., Leon Arlene, Tam Cheuk Ho, McKearin Dennis M., Fuller Margaret T. Accumulation of a differentiation regulator specifies transit amplifying division number in an adult stem cell lineage. Proceedings of the National Academy of Sciences. 2009 Dec 29;106(52):22311–22316. doi: 10.1073/pnas.0912454106. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Insco Megan L., Bailey Alexis S., Kim Jongmin, Olivares Gonzalo H., Wapinski Orly L., Tam Cheuk Ho, Fuller Margaret T. A Self-Limiting Switch Based on Translational Control Regulates the Transition from Proliferation to Differentiation in an Adult Stem Cell Lineage. Cell Stem Cell. 2012 Nov 1;11(5):689–700. doi: 10.1016/j.stem.2012.08.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Manière Gérard, Ziegler Anna B., Geillon Flore, Featherstone David E., Grosjean Yael. Direct Sensing of Nutrients via a LAT1-like Transporter in Drosophila Insulin-Producing Cells. Cell Reports. 2016 Sep 1;17(1):137–148. doi: 10.1016/j.celrep.2016.08.093. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Murashov Alexander K., Pak Elena S., Mar Jordan, O'Brien Kevin, Fisher‐Wellman Kelsey, Bhat Krishna M. Paternal Western diet causes transgenerational increase in food consumption in Drosophila with parallel alterations in the offspring brain proteome and microRNAs. The FASEB Journal. 2023 May 25;37(6) doi: 10.1096/fj.202300239rr. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Nässel Dick R., Broeck Jozef Vanden. Insulin/IGF signaling in Drosophila and other insects: factors that regulate production, release and post-release action of the insulin-like peptides. Cellular and Molecular Life Sciences. 2015 Oct 15;73(2):271–290. doi: 10.1007/s00018-015-2063-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Neumüller Ralph A., Betschinger Joerg, Fischer Anja, Bushati Natascha, Poernbacher Ingrid, Mechtler Karl, Cohen Stephen M., Knoblich Juergen A. Mei-P26 regulates microRNAs and cell growth in the Drosophila ovarian stem cell lineage. Nature. 2008 Jun 4;454(7201):241–245. doi: 10.1038/nature07014. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ro Jennifer, Harvanek Zachary M., Pletcher Scott D. FLIC: High-Throughput, Continuous Analysis of Feeding Behaviors in Drosophila. PLoS ONE. 2014 Jun 30;9(6):e101107–e101107. doi: 10.1371/journal.pone.0101107. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Rulifson Eric J., Kim Seung K., Nusse Roel. Ablation of Insulin-Producing Neurons in Flies: Growth and Diabetic Phenotypes. Science. 2002 May 10;296(5570):1118–1120. doi: 10.1126/science.1070058. [DOI] [PubMed] [Google Scholar]
- Shell Brandon C., Schmitt Rebecca E., Lee Kristen M., Johnson Jacob C., Chung Brian Y., Pletcher Scott D., Grotewiel Mike. Measurement of solid food intake in Drosophila via consumption-excretion of a dye tracer. Scientific Reports. 2018 Aug 1;8(1) doi: 10.1038/s41598-018-29813-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Tennessen Jason M., Barry William E., Cox James, Thummel Carl S. Methods for studying metabolism in Drosophila. Methods. 2014 Jun 1;68(1):105–115. doi: 10.1016/j.ymeth.2014.02.034. [DOI] [PMC free article] [PubMed] [Google Scholar]

