Diversity, Stability, and Reproducibility in Stochastically Assembled Microbial Ecosystems

ORAL

Abstract

Microbial ecosystems are remarkably diverse, stable, and often consist of a balanced mixture of core and peripheral species. Here we propose a conceptual model exhibiting all these emergent properties in quantitative agreement with real ecosystem data, specifically species' abundance and prevalence distributions. Resource competition and metabolic commensalism drive stochastic ecosystem assembly in our model. We demonstrate that even when supplied with just one resource, ecosystems can exhibit high diversity, increasing stability, and partial reproducibility between samples.

Presenters

  • Akshit Goyal

    The Simons Centre for the Study of Living Machines, National Centre for Biological Sciences, TIFR, The Simons Centre for the Study of Living Machines, National Centre for Biological Sciences (TIFR)

Authors

  • Akshit Goyal

    The Simons Centre for the Study of Living Machines, National Centre for Biological Sciences, TIFR, The Simons Centre for the Study of Living Machines, National Centre for Biological Sciences (TIFR)

  • Sergei Maslov

    Department of Bioengineering and Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign