Designing microbial consortia with defined social interactions
Open accessAbstract
Designer microbial consortia are an emerging frontier in synthetic biology that enable versatile microbiome engineering. However, the utilization of such consortia is hindered by our limited capacity in rapidly creating ecosystems with desired dynamics. Here we present the development of synthetic communities through social interaction engineering that combines modular pathway reconfiguration with model creation. Specifically, we created six two-strain consortia, each possessing a unique mode of interaction, including commensalism, amensalism, neutralism, cooperation, competition and predation. These consortia follow distinct population dynamics with characteristics determined by the underlying interaction modes. We showed that models derived from two-strain consortia can be used to design three- and four-strain ecosystems with predictable behaviors and further extended to provide insights into community dynamics in space. This work sheds light on the organization of interacting microbial species and provides a systematic framework-social interaction programming-to guide the development of synthetic ecosystems for diverse purposes.
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A model utilizing social-interaction programming may effectively forecast the actions and interactions within an ecosystem of up to four types.
“A model utilizing social-interaction programming may effectively forecast the actions and interactions within an ecosystem of up to four types [186].”
From Harnessing bacterial consortia for effective bioremediation: targeted removal of heavy metals, hydrocarbons, and persistent pollutants (2025) · cites this paper as [186]
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Rosero-Chasoy, G., Rodríguez-Jasso, R. M., Aguilar, C. N., Buitrón, G., Chairez, I., & Ruiz, H. A. (2021) · Bioresource Technology · doi:10.1016/j.biortech.2020.124458 · Cited by 111 · see citing works
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- Authors
- Kong, W., Meldgin, D. R., Collins, J. J., & Lu, T.
- Affiliations
- University of Illinois Urbana-Champaign (US)
- Broad Institute (US)
- Corresponding author
- Collins, James J.
- Lu, Ting
- Venue
- Nature Chemical Biology
- Published
- 2018-06-25
- Volume
- 14
- Issue
- 8
- Pages
- 821-829
- ISSN
- 1552-4450 (ISSN-L)
- 1552-4469
- OpenAlex
- W2809425738
- Cited by
- 327
- References
- 3
- Citations by year
- 2026: 36 · 2025: 38 · 2024: 37 · 2023: 41 · 2022: 50 · 2021: 50 · 2020: 40 · 2019: 27 · 2018: 8
- FWCI
- 10.91
- Type
- journal article
- Language
- en
- Update notices
- addendum (2024-04-22)
- Open access
- green
- hdl.handle.net
- Licence
- Locations
- Nature Chemical Biology (publishedVersion)
- PubMed (publishedVersion)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc-sa)
- Funders
- National Science Foundation (1553649, 1227034)
- American Heart Association
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Microbial Metabolic Engineering and Bioproduction
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene Regulatory Network Analysis
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Bacterial Genetics and Biotechnology
- Keywords
- synthetic microbial consortia, microbial community dynamics, commensalism, amensalism, neutralism, cooperation, competition (biology), predation, synthetic ecosystem
- MeSH terms
- Lactococcus lactis, Microbial Interactions, Synthetic Biology, Microbial Consortia, Microbiota
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