The DOI matches its Crossref record; 109 of the 109 references it cites were found in a registry or an index.
Costless metabolic secretions as drivers of interspecies interactions in microbial ecosystems
Open accessAbstract
Metabolic exchange mediates interactions among microbes, helping explain diversity in microbial communities. As these interactions often involve a fitness cost, it is unclear how stable cooperation can emerge. Here we use genome-scale metabolic models to investigate whether the release of “costless” metabolites (i.e. those that cause no fitness cost to the producer), can be a prominent driver of intermicrobial interactions. By performing over 2 million pairwise growth simulations of 24 species in a combinatorial assortment of environments, we identify a large space of metabolites that can be secreted without cost, thus generating ample cross-feeding opportunities. In addition to providing an atlas of putative interactions, we show that anoxic conditions can promote mutualisms by providing more opportunities for exchange of costless metabolites, resulting in an overrepresentation of stable ecological network motifs. These results may help identify interaction patterns in natural communities and inform the design of synthetic microbial consortia.
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Cited by
Lawson, M. A. E., O’Neill, I. J., Kujawska, M., Gowrinadh Javvadi, S., Wijeyesekera, A., Flegg, Z., Chalklen, L., & Hall, L. J. (2020) · The ISME Journal · doi:10.1038/s41396-019-0553-2 · Cited by 365
Moretti, S., Tran, V. D. T., Mehl, F., Ibberson, M., & Pagni, M. (2021) · Nucleic Acids Research · doi:10.1093/nar/gkaa992 · Cited by 177
Xiao, M., Zhang, C., Duan, H., Narbad, A., Zhao, J., Chen, W., Zhai, Q., Yu, L., & Tian, F. (2024) · npj Biofilms and Microbiomes · doi:10.1038/s41522-024-00524-6 · Cited by 120
Engineering Microbial Consortia towards Bioremediation
Li, X., Wu, S., Dong, Y., Fan, H., Bai, Z., & Zhuang, X. (2021) · Water · doi:10.3390/w13202928 · Cited by 97
Construction of stable microbial consortia for effective biochemical synthesis
Jiang, Y., Wu, R., Zhang, W., Xin, F., & Jiang, M. (2023) · Trends in Biotechnology · doi:10.1016/j.tibtech.2023.05.008 · Cited by 86
Metadata
- Authors
- Pacheco, A. R., Moel, M., & Segrè, D.
- Venue
- Nature Communications
- Published
- 2019-01-09
- Volume
- 10
- Issue
- 1
- Pages
- 103-103
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W2953278221
- Cited by
- 328
- References
- 109
- FWCI
- 11.67
- Type
- journal article
- Language
- en
- Open access
- gold
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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