Genomics

Dataset Information

154

Predicting a human gut microbiota's response to diet in gnotobiotic mice.


ABSTRACT: The interrelationships between our diets and the structure and operations of our gut microbial communities are poorly understood. A model microbial community of ten sequenced human gut bacteria was introduced into gnotobiotic mice and changes in the abundance of each species were measured in response to randomized perturbations of four defined ingredients in the host diet. From the responses, we developed a statistical model that predicted over 50% of the variation in species abundance in response to the diet perturbations and were able to identify which factors in the diet best explained the changes seen for each community member. The community’s transcriptional response was driven by the absolute abundance of each species, as diet ingredient concentrations were not associated with significant changes in the transcription of individual community members. Overall design: This Series contains both RNA-Seq Samples and COPRO-Seq (COmmunity PROfiling by sequencing) Samples.

INSTRUMENT(S): Illumina Genome Analyzer II (Bacteria)

SUBMITTER: Jeremiah J Faith  

PROVIDER: GSE26687 | GEO | 2011-05-20

SECONDARY ACCESSION(S): PRJNA136593

REPOSITORIES: GEO

altmetric image

Publications

Predicting a human gut microbiota's response to diet in gnotobiotic mice.

Faith Jeremiah J JJ   McNulty Nathan P NP   Rey Federico E FE   Gordon Jeffrey I JI  

Science (New York, N.Y.) 20110519 6038


The interrelationships between our diets and the structure and operations of our gut microbial communities are poorly understood. A model community of 10 sequenced human gut bacteria was introduced into gnotobiotic mice, and changes in species abundance and microbial gene expression were measured in response to randomized perturbations of four defined ingredients in the host diet. From the responses, we developed a statistical model that predicted over 60% of the variation in species abundance e  ...[more]

Similar Datasets

| GSE104461 | GEO
2013-12-05 | E-GEOD-46761 | ArrayExpress
2013-08-20 | E-GEOD-48993 | ArrayExpress
2013-08-20 | E-GEOD-48193 | ArrayExpress
2013-08-20 | E-GEOD-48532 | ArrayExpress
| GSE63461 | GEO
| GSE79067 | GEO
2013-07-12 | E-GEOD-48808 | ArrayExpress
2009-09-16 | GSE17712 | GEO
2009-09-15 | E-GEOD-17712 | ArrayExpress