Abstract:
:Microbial networks are an increasingly popular tool to investigate microbial community structure, as they integrate multiple types of information and may represent systems-level behaviour. Interpreting these networks is not straightforward, and the biological implications of network properties are unclear. Analysis of microbial networks allows researchers to predict hub species and species interactions. Additionally, such analyses can help identify alternative community states and niches. Here, we review factors that can result in spurious predictions and address emergent properties that may be meaningful in the context of the microbiome. We also give an overview of studies that analyse microbial networks to identify new hypotheses. Moreover, we show in a simulation how network properties are affected by tool choice and environmental factors. For example, hub species are not consistent across tools, and environmental heterogeneity induces modularity. We highlight the need for robust microbial network inference and suggest strategies to infer networks more reliably.
journal_name
FEMS Microbiol Revjournal_title
FEMS microbiology reviewsauthors
Röttjers L,Faust Kdoi
10.1093/femsre/fuy030subject
Has Abstractpub_date
2018-11-01 00:00:00pages
761-780issue
6eissn
0168-6445issn
1574-6976pii
5061627journal_volume
42pub_type
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