Our 'metagenome'is a composite of H. sapiens genes and genes present in the genomes of the trillions of microbes that colonize our adult bodies. 'Our'microbial genomes (microbiome) encode metabolic functions we have not had to evolve on our own, but remain largely unexplored: they include degradation of otherwise indigestible components of our modern diet. Our studies of gnotobiotic mice and humans have revealed a dynamic linkage between adiposity and gut microbial ecology, and provided evidence that the gut microbiota of obese mice is more efficient at harvesting energy than the microbiota of lean animals. This interdisciplinary program project application, involving three groups with a history of close interactions and a unique combination of expertise, seeks to provide new insights about the role of the gut microbiota in regulating energy balance in humans, and to help lay experimental and computational foundations for the human microbiome project, with the ultimate goal of establishing new strategies for targeting the microbiota to help treat obesity. Monozygotic (MZ) twin pairs, who represent an ideal design for testing key program hypotheses about the concordance of the microbiota and microbiome with obesity, will be recruited by one of the world's foremost twin researchers from his ongoing study of a mid-western cohort of female like-sex twin pairs. Project 1 uses comparative metagenomics (16S rRNA enumerations, sequencing of total fecal microbial community DNA and expressed cDNAs, measurement of metabolites), plus computational approaches developed from metagenomic studies of obese and lean mice, to examine whether there is a set of shared organisms and gene lineages present in the microbiota and microbiomes of obese (BMI=35) versus lean (BMI 18.5-25) MZ and dizygotic European-ancestry and African-American twin pairs and their mothers. Project 2 combines comparative genome hybridization and large-scale DNA sequencing to determine the extent of inter-individual variation in the pan-genomes of two prominent members of the human gut microbiota that play an important role in polysaccharide fermentation, in obese vs. lean MZ twins. Project 3 uses new/powerful statistical tools, together with Project 1-2 datasets, to test whether there are systematic differences in human gut communities related to host genetics and obesity, and whether strong selective pressure in the gut environment results in adaptation through the acquisition of genes with specific functions (e.g. carbohydrate metabolism) through lateral gene transfer. It will also relate the gut microbiota of lean and obese individuals to gut communities in other mammals and different physical environments, to trace the provenance of genes and genomes that contribute key metabolic capabilities to the human gut. A Biospecimen Collection Core will recruit twins and collect fecal samples. A Microbiome Data Management Core will serve as a central data repository. An Administrative Core will facilitate communications between projects and personnel.

Agency
National Institute of Health (NIH)
Institute
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Type
Research Program Projects (P01)
Project #
3P01DK078669-03S1
Application #
7901954
Study Section
Special Emphasis Panel (ZDK1-GRB-6 (M1))
Program Officer
Karp, Robert W
Project Start
2009-09-21
Project End
2011-06-30
Budget Start
2009-09-21
Budget End
2011-06-30
Support Year
3
Fiscal Year
2009
Total Cost
$300,001
Indirect Cost
Name
Washington University
Department
Other Basic Sciences
Type
Schools of Medicine
DUNS #
068552207
City
Saint Louis
State
MO
Country
United States
Zip Code
63130
Chondronikola, Maria; Magkos, Faidon; Yoshino, Jun et al. (2018) Effect of Progressive Weight Loss on Lactate Metabolism: A Randomized Controlled Trial. Obesity (Silver Spring) 26:683-688
Hillmann, Benjamin; Al-Ghalith, Gabriel A; Shields-Cutler, Robin R et al. (2018) Evaluating the Information Content of Shallow Shotgun Metagenomics. mSystems 3:
Janssen, Stefan; McDonald, Daniel; Gonzalez, Antonio et al. (2018) Phylogenetic Placement of Exact Amplicon Sequences Improves Associations with Clinical Information. mSystems 3:
An, Jie; Wang, Liping; Patnode, Michael L et al. (2018) Physiological mechanisms of sustained fumagillin-induced weight loss. JCI Insight 3:
Mark Welch, Jessica L; Hasegawa, Yuko; McNulty, Nathan P et al. (2017) Spatial organization of a model 15-member human gut microbiota established in gnotobiotic mice. Proc Natl Acad Sci U S A 114:E9105-E9114
Newgard, Christopher B (2017) Metabolomics and Metabolic Diseases: Where Do We Stand? Cell Metab 25:43-56
Morton, James T; Sanders, Jon; Quinn, Robert A et al. (2017) Balance Trees Reveal Microbial Niche Differentiation. mSystems 2:
Green, Jonathan M; Barratt, Michael J; Kinch, Michael et al. (2017) Food and microbiota in the FDA regulatory framework. Science 357:39-40
Amir, Amnon; McDonald, Daniel; Navas-Molina, Jose A et al. (2017) Deblur Rapidly Resolves Single-Nucleotide Community Sequence Patterns. mSystems 2:
Barratt, Michael J; Lebrilla, Carlito; Shapiro, Howard-Yana et al. (2017) The Gut Microbiota, Food Science, and Human Nutrition: A Timely Marriage. Cell Host Microbe 22:134-141

Showing the most recent 10 out of 90 publications