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• W3104886136 abstract "Abstract Microbiomes are inherently linked by their structural similarity, yet the global features of such similarity are not clear. Here we propose as solution a search-based microbiome transition network. By traversing a composition-similarity based network of 177,022 microbiomes, we show that although the compositions are distinct by habitat, each microbiome is on-average only seven neighbors from any other microbiome on Earth, indicating the inherent homology of microbiome at the global scale. This network is scale-free, suggesting a high degree of stability and robustness in microbiome transition. By tracking the minimum spanning tree in this network, a global roadmap of microbiome dispersal was derived that tracks the potential paths of formulating and propagating microbiome diversity. Such search-based global microbiome networks, reconstructed within hours on just one computing node, provide a readily expanded reference for tracing the origin and evolution of existing or new microbiomes." @default.
• W3104886136 created "2020-11-23" @default.
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• W3104886136 date "2020-11-11" @default.
• W3104886136 modified "2023-10-17" @default.
• W3104886136 title "A scale-free, fully connected global transition network underlies known microbiome diversity" @default.
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• W3104886136 doi "https://doi.org/10.1101/2020.11.11.376103" @default.
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