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dc.contributor.authorWeiss, Anna S
dc.contributor.authorBurrichter, Anna G
dc.contributor.authorDurai Raj, Abilash Chakravarthy
dc.contributor.authorvon Strempel, Alexandra
dc.contributor.authorMeng, Chen
dc.contributor.authorKleigrewe, Karin
dc.contributor.authorMünch, Philipp C
dc.contributor.authorRössler, Luis
dc.contributor.authorHuber, Claudia
dc.contributor.authorEisenreich, Wolfgang
dc.contributor.authorJochum, Lara M
dc.contributor.authorGöing, Stephanie
dc.contributor.authorJung, Kirsten
dc.contributor.authorLincetto, Chiara
dc.contributor.authorHübner, Johannes
dc.contributor.authorMarinos, Georgios
dc.contributor.authorZimmermann, Johannes
dc.contributor.authorKaleta, Christoph
dc.contributor.authorSanchez, Alvaro
dc.contributor.authorStecher, Bärbel
dc.date.accessioned2022-01-17T09:17:55Z
dc.date.available2022-01-17T09:17:55Z
dc.date.issued2021-12-02
dc.identifier.citationISME J. 2021 Dec 2. doi: 10.1038/s41396-021-01153-z. Epub ahead of print.en_US
dc.identifier.pmid34857933
dc.identifier.doi10.1038/s41396-021-01153-z
dc.identifier.urihttp://hdl.handle.net/10033/623145
dc.description.abstractA key challenge in microbiome research is to predict the functionality of microbial communities based on community membership and (meta)-genomic data. As central microbiota functions are determined by bacterial community networks, it is important to gain insight into the principles that govern bacteria-bacteria interactions. Here, we focused on the growth and metabolic interactions of the Oligo-Mouse-Microbiota (OMM12) synthetic bacterial community, which is increasingly used as a model system in gut microbiome research. Using a bottom-up approach, we uncovered the directionality of strain-strain interactions in mono- and pairwise co-culture experiments as well as in community batch culture. Metabolic network reconstruction in combination with metabolomics analysis of bacterial culture supernatants provided insights into the metabolic potential and activity of the individual community members. Thereby, we could show that the OMM12 interaction network is shaped by both exploitative and interference competition in vitro in nutrient-rich culture media and demonstrate how community structure can be shifted by changing the nutritional environment. In particular, Enterococcus faecalis KB1 was identified as an important driver of community composition by affecting the abundance of several other consortium members in vitro. As a result, this study gives fundamental insight into key drivers and mechanistic basis of the OMM12 interaction network in vitro, which serves as a knowledge base for future mechanistic in vivo studies.en_US
dc.language.isoenen_US
dc.publisherNPGen_US
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titleIn vitro interaction network of a synthetic gut bacterial community.en_US
dc.typeArticleen_US
dc.identifier.eissn1751-7370
dc.contributor.departmentBRICS, Braunschweiger Zentrum für Systembiologie, Rebenring 56, 38106 Braunschweig, Germany.en_US
dc.identifier.journalThe ISME journalen_US
refterms.dateFOA2022-01-17T09:17:56Z
dc.source.journaltitleThe ISME journal
dc.source.countryEngland


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Attribution 4.0 International
Except where otherwise noted, this item's license is described as Attribution 4.0 International