The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Emergent cooperation in microbial metabolism
Open accessAbstract
Mixed microbial communities exhibit emergent biochemical properties not found in clonal monocultures. We report a new type of synthetic genetic interaction, synthetic mutualism in trans (SMIT), in which certain pairs of auxotrophic Escherichia coli mutants complement one another's growth by cross‐feeding essential metabolites. We find significant metabolic synergy in 17% of 1035 such pairs tested, with SMIT partners identified throughout the metabolic network. Cooperative phenotypes show more growth on average by aiding the proliferation of their conjugate partner, thereby expanding the source of their own essential metabolites. We construct a quantitative, predictive, framework for describing SMIT interactions as governed by stoichiometric models of the metabolic networks of the interacting strains.
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Cites
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“As seen from equation (4), decreasing αq by a larger factor than αq generally brings the system closer to oscillations, which is consistent with the requirement for a strong degradation tag for sustained oscillations demonstrated in Fig.”
BackgroundMethodAnoxic Conditions Promote Species-Specific Mutualism between Gut Microbes In Silico
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Bottom-Up Approaches to Synthetic Cooperation in Microbial Communities
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Construction of bacteria–eukaryote synthetic mutualism
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Metadata
- Authors
- Wintermute, E. H., & Silver, P. A.
- Venue
- Molecular Systems Biology
- Published
- 2010-01
- Volume
- 6
- Issue
- 1
- Pages
- 407-407
- ISSN
- 1744-4292 (ISSN-L)
- OpenAlex
- W2142026735
- Cited by
- 344
- References
- 4
- FWCI
- 6.62
- Type
- journal article
- Language
- en
- Open access
- gold
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
