Metabolomics of Mixed Microbial Communities: Understanding the Influence of Gut Microbiota
EMSL Project ID
49112
Abstract
Combining NMR data and Mass Spec data with biostatistics and bioinformatics will enhance the impact of phylogenetic analysis, biochemical mechanistic studies, and mathematical modeling currently being undertaken in an existing ASU-Mayo Clinic collaboration. We anticipate discovering novel metabolite biomarkers and expanding the mechanistic understanding of the pathways involving host-microbe interactions. We will integrate and interpret the results using an ecological approach that involves mathematical modeling of the structure and function of the intestinal community, in support of the EMSL Mission, “… to provide integrated experimental and computational resources for discovery and technological innovation in the environmental molecular sciences”, and the EMSL Biology Science Theme, “Understand the foundational biological principles for predictive biology. Translating molecular and metabolic information into an understanding of the functioning of biological networks…” The proposed work is expected to have application to those investigating complex biological communities, and pairing of NMR and MS will be a platform for developing proposals of interest to NIH, DOE-BER, EPA and other funding streams, in accordance with the BER Mission, “…advances world-class biological and environmental research programs and scientific user facilities to support DOE’s energy, environment, and basic research missions… to understand how genomic information is translated to functional capabilities, enabling more confident redesign of microbes and plants for sustainable biofuel production, improved carbon storage, or contaminant bioremediation.”
Project Details
Start Date
2015-10-28
End Date
2016-09-30
Status
Closed
Released Data Link
Team
Principal Investigator
Co-Investigator(s)
Team Members
Related Publications
Ilhan ZE, JK DiBaise, NG Isern, DW Hoyt, AK Marcus, DW Kang, M Crowell, BE Rittmann, and R Krajmalnik-Brown. 2017. "Distinctive microbiomes and metabolites linked with weight loss after gastric bypass, but not gastric banding." The ISME Journal 1-12. doi:10.1038/ismej.2017.71
Kang DW, ZE Ilhan, NG Isern, DW Hoyt, DP Howsmon, M Shaffer, C Lozupone, J Hahn, J Adams, and R Krajmalnik-Brown. 2018. "Differences in fecal microbial metabolites and microbiota of children with autism spectrum disorders." Anaerobe 49:121-131. doi:10.1016/j.anaerobe.2017.12.007