Bibliographic Details
| Title: |
Diversity, stability, and reproducibility in stochastically assembled microbial ecosystems |
| Authors: |
Goyal, Akshit, Maslov, Sergei |
| Source: |
Phys. Rev. Lett. 120, 158102 (2018) |
| Publication Year: |
2017 |
| Collection: |
Condensed Matter
Quantitative Biology |
| Subject Terms: |
Quantitative Biology - Populations and Evolution, Condensed Matter - Statistical Mechanics, Quantitative Biology - Molecular Networks |
| More Details: |
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. |
| Document Type: |
Working Paper |
| DOI: |
10.1103/PhysRevLett.120.158102 |
| Access URL: |
http://arxiv.org/abs/1711.00755 |
| Accession Number: |
edsarx.1711.00755 |
| Database: |
arXiv |
