R: Sample dataset from murine gut microbiome

relmbeta {qiimer} | R Documentation

## Sample dataset from murine gut microbiome

### Description

The `relmbeta` dataset is taken from a mouse study where wild-type and RELMbeta knockout mice were fed either a normal or high-fat diet. The diet was observed to have a pronounced effect on the gut microbiome composition. The genotype also had an effect, but less so.

### Format

A data frame with 20 rows and 3 columns.

### Details

The bacterial 16S rDNA gene was sequenced using 454 FLX technology, producing about 26k reads. The reads were processed via the standard QIIME workflow, `pick_de_novo_otus.py`, which clustered the reads into 776 operational taxonomic units (OTUs). QIIME version 1.7.0 was used for the analysis.

The OTU table was filtered to remove OTUs appearing in only one sample. Following this, a single rarefaction was performed at a level of 500 reads per sample. The unweighted UniFrac distance was then computed for each pair of samples.

The `relmbeta` data frame lists the sample IDs, genotypes, and dietary assignments for the mice.

### Source

Hildebrandt et al. High-fat diet determines the composition of the murine gut microbiome independently of obesity. Gastroenterology 137, 1716 (2009).

[Package qiimer version 0.9.4 Index]