ArticleScience China. Life sciences2024
Gut microbial interactions based on network construction and bacterial pairwise cultivation.
Article in Science China. Life sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- A genomic framework for tracking antibiotic resistance genes: global dissemination ofAntimicrobial agents and chemotherapy · 2026Article
- The island biology of the host microbiome.Trends in microbiology · 2026Review
- Harnessing the Gut Microbes of Low Abundance With a Bent-Capillary-Centrifugal-Driven (BCCD) Microdroplet Method.MicrobiologyOpen · 2026Article
- The engineering of TBBPA-degrading synthetic microbiomes with integrated strategies.NPJ biofilms and microbiomes · 2025Article
- Systematic pairwise co-cultures uncover predominant negative interactions among human gut bacteria.Microbiome · 2025Article
- Characterization of a plasmid dependent DNA phage targeting Escherichia coli harboring a conjugative plasmid and its impact on gut microbiota.Scientific reports · 2025Article
- Article
- Fucoidan as a therapeutic agent for ulcerative colitis: mechanisms of action and modulation of the gut microbiota.Frontiers in cellular and infection microbiology · 2025Review
- A systematic framework for understanding the microbiome in human health and disease: from basic principles to clinical translation.Signal transduction and targeted therapy · 2024Review
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Authors and funding
6 authors.
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Abstract
Association networks are widely applied for the prediction of bacterial interactions in studies of human gut microbiomes. However, the experimental validation of the predicted interactions is challenging due to the complexity of gut microbiomes and the limited number of cultivated bacteria. In this study, we addressed this challenge by integrating in vitro time series network (TSN) associations and co-cultivation of TSN taxon pairs. Fecal samples were collected and used for cultivation and enrichment of gut microbiome on YCFA agar plates for 13 days. Enriched cells were harvested for DNA extraction and metagenomic sequencing. A total of 198 metagenome-assembled genomes (MAGs) were recovered. Temporal dynamics of bacteria growing on the YCFA agar were used to infer microbial association networks. To experimentally validate the interactions of taxon pairs in networks, we selected 24 and 19 bacterial strains from this study and from the previously established human gut microbial biobank, respectively, for pairwise co-cultures. The co-culture experiments revealed that most of the interactions between taxa in networks were identified as neutralism (51.67%), followed by commensalism (21.67%), amensalism (18.33%), competition (5%) and exploitation (3.33%). Genome-centric analysis further revealed that the commensal gut bacteria (helpers and beneficiaries) might interact with each other via the exchanges of amino acids with high biosynthetic costs, short-chain fatty acids, and/or vitamins. We also validated 12 beneficiaries by adding 16 additives into the basic YCFA medium and found that the growth of 66.7% of these strains was significantly promoted. This approach provides new insights into the gut microbiome complexity and microbial interactions in association networks. Our work highlights that the positive relationships in gut microbial communities tend to be overestimated, and that amino acids, short-chain fatty acids, and vitamins are contributed to the positive relationships.
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