Tarrah, Armin from Borealis Harvested Dataverse published 16S rRNA gene sequencing data on 2026-05-02. The dataset captures microbial community composition from a Simulator of the Human Intestinal Microbial Ecosystem (SHIME®) evaluating avocado-derived polyhydroxylated fatty alcohols. It enables assessment of microbial shifts across different colonic regions and treatment phases involving avocado pulp matrix, lipids, and dietary fiber.
Use Cases
- Analyze microbial community composition shifts based on 16S rRNA gene sequencing data mentioned in the description
- Compare microbial diversity across simulated colonic compartments based on the SHIME® model structure
- Assess the impact of polyhydroxylated fatty alcohols (avocadene and avocadyne) on gut microbiota based on the described treatment phases
- Investigate metabolic interactions between dietary fiber, lipids, and avocado compounds on microbial populations
Strengths
- Data generated from a controlled in vitro gut fermentation model (SHIME®) simulating colonic compartments.
- Enables assessment of microbial shifts associated with specific compound exposure (avocado-derived PFAs).
- Covers microbial community composition and diversity across different colonic regions and treatment phases.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Description metadata is limited; actual data quality requires manual inspection after download.
Provenance
- Source
- Borealis Harvested Dataverse
- Collection Method
- 16S rRNA gene sequencing from an in vitro gut fermentation model (SHIME®).
- Freshness
- Last updated 2026-05-02 04:10:47; freshness should be verified