文章基本信息

标题：Modeling Drosophila gut microbe interactions reveals metabolic interconnectivity
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作者：Jürgen W. Schönborn ; Fiona A. Stewart ; Kerstin Maas Enriquez 等
期刊名称：iScience
印刷版ISSN：2589-0042
出版年度：2021
卷号：24
期号：11
页码：1-22
DOI：10.1016/j.isci.2021.103216
语种：English
出版社：Elsevier
摘要：SummaryWe 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 asDrosophila melanogasterare commonly used to investigate mechanistic questions as the microbiome consists of only about 10 leading bacterial species. Here, we isolated gut bacteria from laboratory-rearedDrosophila, 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 growDrosophila 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.Graphical abstractDisplay OmittedHighlights•Reconstruction of sixDrosophilagut bacteria genome-scale models•Gut bacteria consortium modeling reveals growth interdependencies•CertainDrosophilagut bacteria show growth-promoting cross-feeding•Experimental validation of the modeling-derived growth-promoting effectMicrobial metabolism; Microbiome