Dataset Information

Detection of stable community structures within gut microbiota co-occurrence networks from different human populations.

ABSTRACT: Microbes in the gut microbiome form sub-communities based on shared niche specialisations and specific interactions between individual taxa. The inter-microbial relationships that define these communities can be inferred from the co-occurrence of taxa across multiple samples. Here, we present an approach to identify comparable communities within different gut microbiota co-occurrence networks, and demonstrate its use by comparing the gut microbiota community structures of three geographically diverse populations. We combine gut microbiota profiles from 2,764 British, 1,023 Dutch, and 639 Israeli individuals, derive co-occurrence networks between their operational taxonomic units, and detect comparable communities within them. Comparing populations we find that community structure is significantly more similar between datasets than expected by chance. Mapping communities across the datasets, we also show that communities can have similar associations to host phenotypes in different populations. This study shows that the community structure within the gut microbiota is stable across populations, and describes a novel approach that facilitates comparative community-centric microbiome analyses.

SUBMITTER: Jackson MA

PROVIDER: S-EPMC5807925 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature

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Detection of stable community structures within gut microbiota co-occurrence networks from different human populations.

Jackson Matthew A MA Bonder Marc Jan MJ Kuncheva Zhana Z Zierer Jonas J Fu Jingyuan J Kurilshikov Alexander A Wijmenga Cisca C Zhernakova Alexandra A Bell Jordana T JT Spector Tim D TD Steves Claire J CJ

PeerJ 20180207

Microbes in the gut microbiome form sub-communities based on shared niche specialisations and specific interactions between individual taxa. The inter-microbial relationships that define these communities can be inferred from the co-occurrence of taxa across multiple samples. Here, we present an approach to identify comparable communities within different gut microbiota co-occurrence networks, and demonstrate its use by comparing the gut microbiota community structures of three geographically di ...[more]

PMID: 29441232

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Dataset Information

Detection of stable community structures within gut microbiota co-occurrence networks from different human populations.

Publications

Detection of stable community structures within gut microbiota co-occurrence networks from different human populations.

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