Distinct N and C Cross-Feeding Networks in a Synthetic Mouse Gut Consortium

Escriva, Pau Pérez; Fuhrer, Tobias; Sauer, Uwe

doi:10.1128/msystems.01484-21

Cited by 13 publications

(5 citation statements)

References 78 publications

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“…In this study, we employed the Oligo-Mouse-Microbiota (OMM 12 ), a widely used synthetic bacterial model community, which can be studied in vitro and in gnotobiotic mice [34][35][36] . The OMM 12 model is publicly available, adaptable, and stable 37 .…”

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confidence: 99%

Nutritional and host environments determine community ecology and keystone species in a synthetic gut bacterial community

et al. 2023

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A challenging task to understand health and disease-related microbiome signatures is to move beyond descriptive community-level profiling towards disentangling microbial interaction networks. Using a synthetic gut bacterial community, we aimed to study the role of individual members in community assembly, identify putative keystone species and test their influence across different environments. Single-species dropout experiments reveal that bacterial strain relationships strongly vary not only in different regions of the murine gut, but also across several standard culture media. Mechanisms involved in environment-dependent keystone functions in vitro include exclusive access to polysaccharides as well as bacteriocin production. Further, Bacteroides caecimuris and Blautia coccoides are found to play keystone roles in gnotobiotic mice by impacting community composition, the metabolic landscape and inflammatory responses. In summary, the presented study highlights the strong interdependency between bacterial community ecology and the biotic and abiotic environment. These results question the concept of universally valid keystone species in the gastrointestinal ecosystem and underline the context-dependency of both, keystone functions and bacterial interaction networks.

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confidence: 99%

Nutritional and host environments determine community ecology and keystone species in a synthetic gut bacterial community

et al. 2023

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“…Nitrogen food web is characterized by a diverse array of species such as Clostridium, Fusobacterium, Actinomyces, and Peptostreptococci [44]. Herein, Lactobacillus abundance was inversely related to AAs, whereas bacteria belonging to Prevotellaceae and Fusobacteriaceae exhibited widespread positive associations with AAs.…”

Section: Discussionmentioning

confidence: 98%

Diurnal oscillations of amino acids dynamically associate with microbiota and resistome in the colon of pigs

Wang,

Li,

You

et al. 2024

Preprint

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Background: Nutrients are one of the key determinants of gut microbiota variation. However, the intricate associations between the amino acid (AA) profile and the dynamic fluctuations in the gut microbiota and resistome remain incompletely elucidated. Herein, we investigated the temporal dynamics of AA profile and gut microbiota in the colon of pigs over a 24-hour period, and further explored the dynamic interrelationships among AA profile, microbiota, and resistome using metagenomics and metabolomics approaches. Results: JTK_circle analysis revealed that both the AA profile and the gut microbiota exhibited rhythmic fluctuations. With respect to the feed intake, all AAs except L-homoserine (PAdj = 0.553) demonstrated significant fluctuations. Over 50% of Lactobacillaceae, Ruminococcaceae, Clostridiaceae, and Eubacteriaceae species reached their peaks during T15 ~ T21 when 50% of Lachnospiraceae species experienced a trough. The eLSA results showed that most AAs positively correlated with Prevotellaceae species but negatively correlated with Lactobacillaceae and Lachnospiraceae species. Moreover, most of the AAs negatively correlated with the mobile genetic elements Tn916 and istA group but positively correlated with plasmids. Further partial least squares structural equation model analysis indicated that AAs affected the antibiotic resistance gene dynamics through mobile genetic elements and the gut microbiota. Conclusions: Taken together, the AA profile and the gut microbiota exhibit robust fluctuations over a day. The AA profile can affect the gut microbiota and resistome in a direct or indirect manner. These findings may provide new insights into a potential strategy for manipulating the gut microbiota and resistome.

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“…This is consistent with the results of the present study, in which Muribaculum intestinale was significantly enriched after EABC2000 treatment. Muribaculum intestinale has been proven to be involved in the metabolism of carbohydrates [ 31 ] and produces propionate [ 56 ]. Propionate has physiological activities that lower cholesterol, reduce fat storage, and have anticancer and anti-inflammation [ 57 ].…”

Section: Discussionmentioning

confidence: 99%

Supplementation of Weizmannia coagulans BC2000 and Ellagic Acid Inhibits High-Fat-Induced Hypercholesterolemia by Promoting Liver Primary Bile Acid Biosynthesis and Intestinal Cholesterol Excretion in Mice

Jin

Dang

et al. 2023

Microorganisms

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The probiotic Weizmannia coagulans (W. coagulans) BC2000 can increase the abundance of intestinal transforming ellagic acid (EA) bacteria and inhibit metabolic disorders caused by hyperlipidemia by activating liver autophagy. This study aimed to investigate the inhibitory effects of W. coagulans BC2000 and EA on hyperlipidemia-induced cholesterol metabolism disorders. C57BL/6J mice (n = 10 in each group) were fed a low-fat diet, high-fat diet (HFD), HFD supplemented with EA, HFD supplemented with EA and W. coagulans BC77, HFD supplemented with EA, and W. coagulans BC2000. EA and W. coagulans BC2000 supplementation prevented HFD-induced hypercholesterolemia and promoted fecal cholesterol excretion. Transcriptome analysis showed that primary bile acid biosynthesis in the liver was significantly activated by EA and W. coagulans BC2000 treatments. EA and W. coagulans BC2000 treatment also significantly increased the intestinal Eggerthellaceae abundance and the liver EA metabolites, iso-urolithin A, Urolithin A, and Urolithin B. Therefore, W. coagulans BC2000 supplementation promoted the intestinal transformation of EA, which led to the upregulation of liver bile synthesis, thus preventing hypercholesterolemia.

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Distinct N and C Cross-Feeding Networks in a Synthetic Mouse Gut Consortium

Abstract: This article maps out the cross-feeding network among 10 members of a synthetic consortium that is increasingly used as the model mouse gut microbiota. Combining metabolomics with in vitro cultivations, two dense networks of carbon and nitrogen exchange are described.

Cited by 13 publications

References 78 publications

Nutritional and host environments determine community ecology and keystone species in a synthetic gut bacterial community

Nutritional and host environments determine community ecology and keystone species in a synthetic gut bacterial community

Diurnal oscillations of amino acids dynamically associate with microbiota and resistome in the colon of pigs

Supplementation of Weizmannia coagulans BC2000 and Ellagic Acid Inhibits High-Fat-Induced Hypercholesterolemia by Promoting Liver Primary Bile Acid Biosynthesis and Intestinal Cholesterol Excretion in Mice

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