Modeling Drosophila gut microbe interactions reveals metabolic interconnectivity

Summary: 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 ar...

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Autores principales:	Jürgen W. Schönborn, Fiona A. Stewart, Kerstin Maas Enriquez, Irfan Akhtar, Andrea Droste, Silvio Waschina, Mathias Beller
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Microbial metabolism Microbiome Science Q
Acceso en línea:	https://doaj.org/article/a3c5a5cc30c1473a97274632eeaa0226
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id	oai:doaj.org-article:a3c5a5cc30c1473a97274632eeaa0226
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spelling	oai:doaj.org-article:a3c5a5cc30c1473a97274632eeaa02262021-11-20T05:08:22ZModeling Drosophila gut microbe interactions reveals metabolic interconnectivity2589-004210.1016/j.isci.2021.103216https://doaj.org/article/a3c5a5cc30c1473a97274632eeaa02262021-11-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2589004221011846https://doaj.org/toc/2589-0042Summary: 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.Jürgen W. SchönbornFiona A. StewartKerstin Maas EnriquezIrfan AkhtarAndrea DrosteSilvio WaschinaMathias BellerElsevierarticleMicrobial metabolismMicrobiomeScienceQENiScience, Vol 24, Iss 11, Pp 103216- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Microbial metabolism Microbiome Science Q
spellingShingle	Microbial metabolism Microbiome Science Q Jürgen W. Schönborn Fiona A. Stewart Kerstin Maas Enriquez Irfan Akhtar Andrea Droste Silvio Waschina Mathias Beller Modeling Drosophila gut microbe interactions reveals metabolic interconnectivity
description	Summary: 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.
format	article
author	Jürgen W. Schönborn Fiona A. Stewart Kerstin Maas Enriquez Irfan Akhtar Andrea Droste Silvio Waschina Mathias Beller
author_facet	Jürgen W. Schönborn Fiona A. Stewart Kerstin Maas Enriquez Irfan Akhtar Andrea Droste Silvio Waschina Mathias Beller
author_sort	Jürgen W. Schönborn
title	Modeling Drosophila gut microbe interactions reveals metabolic interconnectivity
title_short	Modeling Drosophila gut microbe interactions reveals metabolic interconnectivity
title_full	Modeling Drosophila gut microbe interactions reveals metabolic interconnectivity
title_fullStr	Modeling Drosophila gut microbe interactions reveals metabolic interconnectivity
title_full_unstemmed	Modeling Drosophila gut microbe interactions reveals metabolic interconnectivity
title_sort	modeling drosophila gut microbe interactions reveals metabolic interconnectivity
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/a3c5a5cc30c1473a97274632eeaa0226
work_keys_str_mv	AT jurgenwschonborn modelingdrosophilagutmicrobeinteractionsrevealsmetabolicinterconnectivity AT fionaastewart modelingdrosophilagutmicrobeinteractionsrevealsmetabolicinterconnectivity AT kerstinmaasenriquez modelingdrosophilagutmicrobeinteractionsrevealsmetabolicinterconnectivity AT irfanakhtar modelingdrosophilagutmicrobeinteractionsrevealsmetabolicinterconnectivity AT andreadroste modelingdrosophilagutmicrobeinteractionsrevealsmetabolicinterconnectivity AT silviowaschina modelingdrosophilagutmicrobeinteractionsrevealsmetabolicinterconnectivity AT mathiasbeller modelingdrosophilagutmicrobeinteractionsrevealsmetabolicinterconnectivity
_version_	1718419558792953856

Modeling Drosophila gut microbe interactions reveals metabolic interconnectivity

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