TY - JOUR
T1 - Diversity, Stability, and Reproducibility in Stochastically Assembled Microbial Ecosystems
AU - Goyal, Akshit
AU - Maslov, Sergei
N1 - A. G. acknowledges support from the Simons Foundation as well as the Infosys Foundation.
PY - 2018/4/13
Y1 - 2018/4/13
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85045335523&partnerID=8YFLogxK
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U2 - 10.1103/PhysRevLett.120.158102
DO - 10.1103/PhysRevLett.120.158102
M3 - Article
C2 - 29756882
AN - SCOPUS:85045335523
SN - 0031-9007
VL - 120
JO - Physical review letters
JF - Physical review letters
IS - 15
M1 - 158102
ER -