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Noninvasive Analysis of Microbiome Dynamics in the Fruit Fly Drosophila melanogaster
Authors:Christine Fink  Fabian Staubach  Sven Kuenzel  John F Baines  Thomas Roeder
Institution:Christian Albrechts University Kiel, Zoology, Kiel, Germanya;Stanford University, Department of Biology, Stanford, California, USAb;Max Planck Institute for Evolutionary Biology, Plön, Germanyc;Christian Albrechts University Kiel, Institute for Experimental Medicine, Kiel, Germanyd;Christian Albrechts University Kiel, Airway Research Center North, German Center for Lung Research, Kiel, Germanye
Abstract:The diversity and structure of the intestinal microbial community has a strong influence on life history. To understand how hosts and microbes interact, model organisms with comparatively simple microbial communities, such as the fruit fly (Drosophila melanogaster), offer key advantages. However, studies of the Drosophila microbiome are limited to a single point in time, because flies are typically sacrificed for DNA extraction. In order to test whether noninvasive approaches, such as sampling of fly feces, could be a means to assess fly-associated communities over time on the same cohort of flies, we compared the microbial communities of fly feces, dissected fly intestines, and whole flies across three different Drosophila strains. Bacterial species identified in either whole flies or isolated intestines were reproducibly found in feces samples. Although the bacterial communities of feces and intestinal samples were not identical, they shared similarities and obviously the same origin. In contrast to material from whole flies and intestines, feces samples were not compromised by Wolbachia spp. infections, which are widespread in laboratory and wild strains. In a proof-of-principle experiment, we showed that simple nutritional interventions, such as a high-fat diet or short-term starvation, had drastic and long-lasting effects on the micobiome. Thus, the analysis of feces can supplement the toolbox for microbiome studies in Drosophila, unleashing the full potential of such studies in time course experiments where multiple samples from single populations are obtained during aging, development, or experimental manipulations.
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