Microbial interactions: from networks to models.
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.
Department of Structural Biology, Flemish Institute for Biotechnology (VIB), Belgium.
Karoline
K
Faust
Jeroen
J
Raes
D058448:Biota; D006801:Humans; D056186:Metagenomics / Q000379:methods*; D056265:Microbial Interactions