ArticleScientific reports2019
FlySilico: Flux balance modeling of Drosophila larval growth and resource allocation.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Modeling tissue-specific Drosophila metabolism identifies high sugar diet-induced metabolic dysregulation in muscle at reaction and pathway levels.Nature communications · 2026Article
- In vivo and in silico models of Drosophila for Parkinson's disease.The FEBS journal · 2025Review
- Gut microbe-derived lactic acid optimizes host energy metabolism during starvation.bioRxiv : the preprint server for biology · 2025Article
- Identification of high sugar diet-induced dysregulated metabolic pathways in muscle using tissue-specific metabolic models inbioRxiv : the preprint server for biology · 2024Article
- Phytoconstituent Profiles Associated with Relevant Antioxidant Potential and Variable Nutritive Effects of the Olive, Sweet Almond, and Black Mulberry Gemmotherapy Extracts.Antioxidants (Basel, Switzerland) · 2023Article
- A new metabolic model ofLife science alliance · 2023Article
- Metabolic Modeling ofMetabolites · 2023Article
- The fat body cortical actin network regulateseLife · 2023Article
- ModelingiScience · 2021Article
- Genome-scale metabolic network reconstruction of model animals as a platform for translational research.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Balancing energy expenditure and storage with growth and biosynthesis during Drosophila development.Developmental biology · 2021Review
- A Personalized Therapeutics Approach Using anFrontiers in oncology · 2021Article
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Authors and funding
4 authors.
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Abstract
Organisms depend on a highly connected and regulated network of biochemical reactions fueling life sustaining and growth promoting functions. While details of this metabolic network are well established, knowledge of the superordinate regulatory design principles is limited. Here, we investigated by iterative wet lab and modeling experiments the resource allocation process during the larval development of Drosophila melanogaster. We chose this system, as survival of the animals depends on the successful allocation of their available resources to the conflicting processes of growth and storage metabolite deposition. First, we generated "FlySilico", a curated metabolic network of Drosophila, and performed time-resolved growth and metabolite measurements with larvae raised on a holidic diet. Subsequently, we performed flux balance analysis simulations and tested the predictive power of our model by simulating the impact of diet alterations on growth and metabolism. Our predictions correctly identified the essential amino acids as growth limiting factor, and metabolic flux differences in agreement with our experimental data. Thus, we present a framework to study important questions of resource allocation in a multicellular organism including process priorization and optimality principles.
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