Journal
METABOLITES
Volume 9, Issue 2, Pages -Publisher
MDPI
DOI: 10.3390/metabo9020022
Keywords
gut microbiome; meta-omics; metagenomics; metabolomics; metabolic reconstructions; genome-scale metabolic modeling; constraint-based modeling; flux balance; host-microbiome; metabolism
Categories
Funding
- Academy of Finland (Centre of Excellence in Molecular Systems Immunology and Physiology Research) [250114]
- Juvenile Diabetes Research Foundation [2-SRA-2014-159-Q-R]
- European Union [634413]
Ask authors/readers for more resources
There is growing interest in the metabolic interplay between the gut microbiome and host metabolism. Taxonomic and functional profiling of the gut microbiome by next-generation sequencing (NGS) has unveiled substantial richness and diversity. However, the mechanisms underlying interactions between diet, gut microbiome and host metabolism are still poorly understood. Genome-scale metabolic modeling (GSMM) is an emerging approach that has been increasingly applied to infer diet-microbiome, microbe-microbe and host-microbe interactions under physiological conditions. GSMM can, for example, be applied to estimate the metabolic capabilities of microbes in the gut. Here, we discuss how meta-omics datasets such as shotgun metagenomics, can be processed and integrated to develop large-scale, condition-specific, personalized microbiota models in healthy and disease states. Furthermore, we summarize various tools and resources available for metagenomic data processing and GSMM, highlighting the experimental approaches needed to validate the model predictions.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available