Cell motility enhances metabolic coupling in spatially structured microbial communities
Wang, M.; Schubert, O.; Ackermann, M.
Show abstract
Metabolic interactions are central to the functioning of microbial communities. In spatially structured environments, such interactions typically require close physical proximity between partner cells. However, cell division drives spatial segregation of interaction partners, as the cells emerging from division remain adjacent and form clonal clusters, weakening these interactions. Here, we hypothesized that active cell motility can reduce this spatial segregation by enabling cells to leave clonal clusters and thereby enhance metabolic interactions. We tested this hypothesis by performing time-lapse single-cell imaging of a synthetic cross-feeding consortium growing in microfluidic chambers. We found that surface motility disrupted clonal clustering, enhanced spatial intermixing, and consequently increased the growth rates of individual cells and community productivity. Individual-based simulations further revealed that this effect is robust across motility modes and a wide range of ecological and physiological parameters. Together, our findings demonstrate that even non-directed, random motility, without chemotactic sensing, is sufficient to enhance metabolic interactions by separating cells from their clonal lineages and repositioning them in proximity to their metabolic partners, thereby acting as a key driver of community functioning in spatially structured microbial systems.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Pleiotropic win-win mutations can rapidly evolve in a nascent cooperative community despite unfavorable conditions 96%
- Competition for fluctuating resources reproduces statistics of species abundance over time across wide-ranging microbiotas 95%
- Spatial alanine metabolism determines local growth dynamics of Escherichia coli colonies 95%
Similar papers in this journal
- A three-node Turing gene circuit forms periodic spatial patterns in bacteria 96%
- Emergence of synchronized multicellular mechanosensing from spatiotemporal integration of heterogeneous single-cell information transfer 95%
- Evolution in microbial microcosms is highly parallel regardless of the presence of interacting species 95%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.