Microbial interactions: from networks to models

Nat Rev Microbiol. 2012 Jul 16;10(8):538-50. doi: 10.1038/nrmicro2832.


Metagenomics and 16S pyrosequencing have enabled the study of ecosystem structure and dynamics to great depth and accuracy. Co-occurrence and correlation patterns found in these data sets are increasingly used for the prediction of species interactions in environments ranging from the oceans to the human microbiome. In addition, parallelized co-culture assays and combinatorial labelling experiments allow high-throughput discovery of cooperative and competitive relationships between species. In this Review, we describe how these techniques are opening the way towards global ecosystem network prediction and the development of ecosystem-wide dynamic models.

Publication types

  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Biota*
  • Humans
  • Metagenomics / methods*
  • Microbial Interactions*