Diversity, Stability, and Reproducibility in Stochastically Assembled Microbial Ecosystems

Physical Review Letters
Akshit Goyal, Sergei Maslov

Abstract

Microbial ecosystems are remarkably diverse, stable, and usually consist of a 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 the 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.

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Citations

May 6, 2019·Nature Communications·Lori NiehausBabak Momeni
Aug 29, 2020·PLoS Computational Biology·Zhiyuan LiNed S Wingreen
Sep 30, 2020·PLoS Computational Biology·James D Brunner, Nicholas Chia
Mar 7, 2019·Nature Communications·Marco Tulio AnguloYang-Yu Liu
Feb 15, 2020·Physical Review Letters·Jumpei F YamagishiKunihiko Kaneko
Mar 24, 2020·Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences·Alberto Pascual-GarcíaThomas Bell
Oct 14, 2020·Royal Society Open Science·Rasmus Skytte Eriksen, Sandeep Krishna
Feb 28, 2021·Nature Communications·Akshit GoyalSergei Maslov
Apr 16, 2021·Mathematical Biosciences·David DiegoHåkon Dahle
Jun 24, 2021·PLoS Computational Biology·Jumpei F YamagishiKunihiko Kaneko
Aug 6, 2021·ELife·Rodrigo CaetanoMichael Doebeli
Nov 9, 2021·PLoS Computational Biology·Pablo Lechón-AlonsoSamraat Pawar
Nov 20, 2021·Nature Communications·Zihan WangSergei Maslov

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