Fingering instability of growing multi-species microbial communities

ORAL

Abstract

In nature, bacteria are frequently found in colonies, a communal lifestyle that is known to provide advantages to the group, such as resistance to stressors, adhesion to surfaces, and collective access and processing of resources. Bacterial colonies can consist of different species and cells with different heritable phenotypes sharing and competing for space and essential resources. However, the mechanisms that set the shape of a growing multi-species microbial community remain poorly understood. To address this gap of knowledge we perform experiments on growing 2D bacterial colonies comprised by two different species. In agreement with previous works, we find that cells often segregate into single-strain concentric domains as the colony expands. After segregation, the outer expanding front remains smooth but the inner expanding front can develop an instability in which the boundary separating the two species forms a wavy, rough shape. To understand the mechanisms underlying such instability, we consider a minimal continuum model that incorporates cell growth and cell-substrate friction, both of which can vary between single-strain domains. Stability analysis and numerical simulations suggest that a segregated multi-strain colony becomes morphologically unstable when domains grow at different rates and exhibit different cell-substrate friction forces. Our model recapitulates the experimental observations, suggesting that a minimal mechanistic description captures the morphodynamics of growing multi-strain bacterial colonies. Moreover, our theoretical framework is not restricted to bacterial colonies, and can be extended to other growth-driven processes in living matter and ecological systems, such as developmental processes, the expansion of heterogeneous tumors, or engineered living materials.

*A.M.-C. acknowledges support from the Princeton Center for Theoretical Science and the Human Frontier Science Program through the grant LT000035/2021-C. C.T-Y. acknowledges support from the New Jersey Department of Health, the Division of Office of Research Initiatives, and the New Jersey Commission on Cancer Research (NJCCR) through the 2023 NJCCR Postdoctoral Research Grant, and from the 2023 Damon Runyon Quantitative Biology Fellowship. H.L. acknowledges support from MIT Physics of Living systems and Sloan Foundation through grant G-2021-16758. N.S.W. acknowledges support from the NSF through the Center for the Physics of Biological Function PHY-1734030 and the NIH through grant R01 GM082938. S.S.D. acknowledges support from NSF grants CBET-1941716, DMR-2011750, and EF-2124863, as well as the Eric and Wendy Schmidt Transformative Technology Fund, New Jersey Health Foundation, and Pew Biomedical Scholars Program.

Presenters

  • Carolina Trenado Yuste

    • Princeton University

Authors

  • Carolina Trenado Yuste

    • Princeton University
  • Alejandro Martinez-Calvo

    • Princeton University
  • Hyunseok Lee

    • Massachusetts Institute of Technology MI
  • Jeffrey C Gore

    • Massachusetts Institute of Technology MIT
  • Ned S Wingreen

    • Princeton University
  • Sujit S Datta

    • Princeton University