Metabolic regimes and low-dimensional dynamics in soil microbiomes

ORAL

Abstract

Soil microbial communities drive the chemical fluxes that sustain life on Earth, yet we lack a quantitative understanding of how their collective metabolism responds to environmental change. The challenge is complexity: these communities are massively diverse, spatially disordered, and chemically complex. We approach this problem empirically by measuring the dynamic utilization of resources (nitrate) by intact soil microbiomes in the lab. A model that describes the community as a single effective biomass captures metabolite dynamics across a range of pH-perturbed conditions. Just two parameters in the model, biomass activity and nutrient availability, vary to predict nitrate consumption dynamics across a wide range of soils and perturbations. We find that soil microbiomes organize into a small number of functional regimes, distinct dynamical states governed by different mechanisms. Shifts in these parameters reveal transitions between three regimes: an acidic collapse dominated by cell death, a nutrient-limited state maintained by a constant rate of resource consumption, and a resurgent growth regime driven by the rapid expansion of rare taxa. Despite their complexity, soil microbiomes exhibit low-dimensional dynamical structure. This structure offers a route toward predictive, physics-like laws of ecosystem metabolism discovered phenomenologically.

*National Science Foundation PHY 2310746 (M.T.). S.K. acknowledges the NIGMS R01GM151538, and support from the National Science Foundation through the Center for Living Systems (grant 2317138). S.K. and M.T. acknowledge CAREER awards from the National Science Foundation (BIO/MCB 2340416 and PHY-2340791). S.K. and M.M. acknowledge financial support from the National Institute for Mathematics and Theory in Biology (Simons Foundation award MP-TMPS-00005320 and National Science Foundation award DMS-2235451). M.M. was supported by The National Science Foundation-Simons Center for Quantitative Biology at Northwestern University and the Simons Foundation grant 597491. This project has been made possible in part by grant DAF2023-329587 from the Chan Zuckerberg Initiative.

Presenters

  • Seppe Kuehn

    • University of Chicago

Authors

  • Seppe Kuehn

    • University of Chicago
  • Madhav Mani

    • Northwestern University
  • Mikhail Tikhonov

    • Washington University, St. Louis
    • Washington University in St. Louis
  • Kyle Crocker

    • University of Chicago
  • Kiseok K Lee

    • The University of Chicago
  • Jocelyn Wang

    • The University of Chicago
  • David R Huggins

    • USDA
  • Siqi Liu

    • Boston University