FB2026_02 , released June 18, 2026
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Citation
Schönborn, J.W., Stewart, F.A., Enriquez, K.M., Akhtar, I., Droste, A., Waschina, S., Beller, M. (2021). Modeling Drosophila gut microbe interactions reveals metabolic interconnectivity.  iScience 24(11): 103216.
FlyBase ID
FBrf0251721
Publication Type
Research paper
Abstract
We know a lot about varying gut microbiome compositions. Yet, how the bacteria affect each other remains elusive. In mammals, this is largely based on the sheer complexity of the microbiome with at least hundreds of different species. Thus, model organisms such as Drosophila melanogaster are commonly used to investigate mechanistic questions as the microbiome consists of only about 10 leading bacterial species. Here, we isolated gut bacteria from laboratory-reared Drosophila, sequenced their respective genomes, and used this information to reconstruct genome-scale metabolic models. With these, we simulated growth in mono- and co-culture conditions and different media including a synthetic diet designed to grow Drosophila melanogaster. Our simulations reveal a synergistic growth of some but not all gut microbiome members, which stems on the exchange of distinct metabolites including tricarboxylic acid cycle intermediates. Culturing experiments confirmed our predictions. Our study thus demonstrates the possibility to predict microbiome-derived growth-promoting cross-feeding.
PubMed ID
PubMed Central ID
PMC8528732 (PMC) (EuropePMC)
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Secondary IDs
    Language of Publication
    English
    Additional Languages of Abstract
    Parent Publication
    Publication Type
    Journal
    Abbreviation
    iScience
    Title
    iScience
    ISBN/ISSN
    2589-0042
    Data From Reference