ArticleFrontiers in microbiology2017
Modeling Metabolic Interactions in a Consortium of the Infant Gut Microbiome.
Article in Frontiers in microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- Synthetic microbial communities: from theoretical exploration to applied innovation.World journal of microbiology & biotechnology · 2026Review
- Unique ecology of co-occurring functionally and phylogenetically undescribed species in the infant oral microbiome.PLoS computational biology · 2026Article
- Functional fermented foods in public health nutrition: key biomolecular mechanisms, gut microbiota interactions, and implications for metabolic disease prevention.Frontiers in nutrition · 2026Review
- Emergent roles of infant gut microbes during the utilization of human milk oligosaccharides.NPJ biofilms and microbiomes · 2025Article
- Toward the Next Generation of In Silico Modeling of Dynamic Host-Microbiota Interactions in the Skin.JID innovations : skin science from molecules to population health · 2025Review
- Metabolic interdependencies in thermophilic communities are revealed using co-occurrence and complementarity networks.Nature communications · 2024Article
- Screening Microbial Interactions During Inulin Utilization Reveals Strong Competition and Proteomic Changes in Lacticaseibacillus paracasei M38.Probiotics and antimicrobial proteins · 2024Article
- Internal carbon recycling by heterotrophic prokaryotes compensates for mismatches between phytoplankton production and heterotrophic consumption.The ISME journal · 2024Article
- Article
- Synthetic microbial communities (SynComs) of the human gut: design, assembly, and applications.FEMS microbiology reviews · 2023Article
- A Study and Modeling ofMicroorganisms · 2022Article
- Modeling approaches for probing cross-feeding interactions in the human gut microbiome.Computational and structural biotechnology journal · 2022Review
- Dynamic carbon flux network of a diverse marine microbial community.ISME communications · 2021Article
- Comparative Genomic Analysis of NovelMicroorganisms · 2021Article
- Towards a deeper understanding of microbial communities: integrating experimental data with dynamic models.Current opinion in microbiology · 2021Review
- Optimization of probiotic therapeutics using machine learning in an artificial human gastrointestinal tract.Scientific reports · 2021Article
- Examination of hydrogen cross-feeders using a colonic microbiota model.BMC bioinformatics · 2021Article
- Inferring composition and function of the human gut microbiome in time and space: A review of genome-scale metabolic modelling tools.Computational and structural biotechnology journal · 2020Review
- Competition for Hydrogen Prevents Coexistence of Human Gastrointestinal Hydrogenotrophs in Continuous Culture.Frontiers in microbiology · 2020Article
- Synthetic ecology of the human gut microbiota.Nature reviews. Microbiology · 2019Review
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The gut microbiome is a complex microbial community that has a significant influence on the host. Microbial interactions in the gut are mediated by dietary substrates, especially complex polysaccharides. In this environment, breakdown products from larger carbohydrates and short chain fatty acids are commonly shared among gut microbes. Understanding the forces that guide microbiome development and composition is important to determine its role in health and in the intervention of the gut microbiome as a therapeutic tool. Recently, modeling approaches such as genome-scale models and time-series analyses have been useful to predict microbial interactions. In this study, a bottom-up approach was followed to develop a mathematical model based on microbial growth equations that incorporate metabolic sharing and inhibition. The model was developed using experimental
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.