Microbial interactions: from networks to models

被引：2611

作者：

Faust, Karoline ^{[1
,2
]}

Raes, Jeroen ^{[1
,2
]}

机构：

[1] VIB, Dept Biol Struct, Brussels, Belgium

[2] Vrije Univ Brussel, Dept Appl Biol Sci DBIT, Brussels, Belgium

来源：

NATURE REVIEWS MICROBIOLOGY | 2012年 / 10卷 / 08期

关键词：

COOCCURRENCE PATTERNS; ASSOCIATION NETWORKS; METAGENOMIC ANALYSIS; COMMUNITY STRUCTURE; NEUTRAL-THEORY; BACTERIAL; DIVERSITY; DATABASE; DYNAMICS; ECOLOGY;

D O I：

10.1038/nrmicro2832

中图分类号：

Q93 [微生物学];

学科分类号：

071005 ; 100705 ;

摘要：

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.

引用

页码：538 / 550

页数：13

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