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Micro-DeMix: A mixture beta-multinomial model for investigating the fecal microbiome compositions
Ruoqian Liu1, Yue Wang2, Dan Cheng1
1School of Mathematical and Statistical Sciences, Arizona State University.
Biorxiv : the Preprint Server for Biology
|January 3, 2024
Summary
The human gut microbiome varies across the gastrointestinal tract. Micro-DeMix analyzes fecal samples to reveal this gut microbiome heterogeneity and microbial differences between regions.
Area of Science:
- Microbiome research
- Gastrointestinal health
- Computational biology
Background:
- The human gut microbiome significantly impacts health, metabolism, and immunity.
- Fecal microbiota analysis is a common proxy, but doesn't capture gut microbiome heterogeneity.
- Gut microbiome composition and function differ across gastrointestinal locations.
Approach:
- Introduced Micro-DeMix, a mixture beta-multinomial model.
- Decomposes fecal microbiome data to reveal spatial variations.
- Includes a hypothesis testing framework for differential abundance analysis.
Key Points:
- Micro-DeMix addresses limitations of invasive spatial metagenomics in human studies.
- Reveals gut microbiome heterogeneity across different gastrointestinal sites.
- Identifies differentially abundant microbes between GI regions.
Conclusions:
- Micro-DeMix effectively analyzes fecal microbiome data to understand gut microbiome diversity.
- Demonstrated utility using Inflammatory Bowel Disease (IBD) data from the NIH Integrative Human Microbiome Project.
- Provides insights into gut microbiome spatial variations and regional microbial differences.
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