Limits to the evolution of metabolic dependency in spatially structured microbial communities
In microbial communities, evolutionary processes can lead to loss of biosynthetic pathways, creating metabolic dependencies. The Black Queen Hypothesis suggests that such gene loss can confer a fitness advantage by reducing metabolic burden. However, how these dependencies evolve at the level of individual cells in spatially structured communities remains poorly understood. We used a combination of microfluidic single-cell imaging and mathematical modeling to examine the early fate of auxotrophic mutants within <i>E. coli</i> populations. We found that without external amino acids, auxotroph growth is strongly constrained by low amino acid leakage from wildtype neighbors, and further reduced when they form local clusters that drain this limited amino acid pool. A growth advantage was only observed when amino acids were added or when leakage from wildtypes exceeded a threshold. Together, our results reveal insights into determinants of mutant invasion fitness and the trade-offs between reducing metabolic costs and maintaining metabolic autonomy.
Authors
- Simon van Vliet (ORCID: https://orcid.org/0000-0003-2532-483X)
- Olga T. Schubert (ORCID: https://orcid.org/0000-0002-2613-0714)
- Giovanni Stefano Ugolini (ORCID: https://orcid.org/0000-0003-4775-6676)
- Martin Ackermann (ORCID: https://orcid.org/0000-0003-0087-4819)
- Devika Ramesh (ORCID: https://orcid.org/0000-0001-9714-5027)
- Emanuele Fara (ORCID: https://orcid.org/0009-0001-9535-931X)
- Franziska Oschmann (ORCID: https://orcid.org/0000-0002-3208-8487)
Institutions
- University of Basel (CH)
- ETH Zurich (CH)
- École Polytechnique Fédérale de Lausanne (CH)
- Swiss Federal Institute of Aquatic Science and Technology (CH)
- University of Lausanne (CH)
Publication Details
- Journal
- iScience
- Published
- 2026-02-05
- DOI
- https://doi.org/10.1016/j.isci.2026.114912
- Primary Topic
- Microbial Metabolic Engineering and Bioproduction
- Type
- article
- Field-Weighted Citation Impact
- 0.00