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This is a Quantitative Study study.

September 16, 2025mSystemsOpen Access

Integrated diversity and network analyses reveal drivers of microbiome dynamics

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This approach shows that integrating compositional data with network analyses enhances understanding of microbial communities.
Key findings include identifying representative microbial taxa that capture overall community structure and improve statistical power.
A novel computational framework, implemented in an R package 'mina', facilitates the detection of condition-specific microbe interactions.
The framework broadens applicability to microbiome studies across various fields, aiding in understanding complex ecological dynamics.

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This analysis reveals microbial interactions and diversity in plant microbiota, highlighting its ecological significance.

Guan et al. (2025) studied this question.

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