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A Scale-Free, Fully Connected Global Transition Network Underlies Known Microbiome Diversity

Gongchao Jing, Yufeng Zhang, Lu Liu, Zengbin Wang, Zheng Sun, Rob Knight, Xiaoquan Su, Jian Xu

2021mSystems21 citationsDOIOpen Access PDF

Abstract

It remains unclear whether and how compositional changes at the "community to community" level among microbiomes are linked to the origin and evolution of global microbiome diversity. Here we propose a microbiome transition model and a network-based analysis framework to describe and simulate the variation and dispersal of the global microbial beta-diversity across multiple habitats. The traversal of a transition network with 177,022 samples shows the inherent homology of microbiome at the global scale. Then a global roadmap of microbiome dispersal derived from the network tracks the potential paths of formulating and propagating microbiome diversity. Such search-based microbiome network provides a readily expanded reference for tracing the origin and evolution of existing or new microbiomes at the global scale.

Topics & Concepts

MicrobiomeBiological dispersalBiologyEvolutionary biologyComputational biologyBioinformaticsPopulationSociologyDemographyGut microbiota and healthComplex Network Analysis TechniquesEvolutionary Game Theory and Cooperation