Moving pictures of the human microbiome
University of Colorado Boulder · Cooperative Institute for Research in Environmental Sciences · +4 more institutions
Abstract
Understanding the normal temporal variation in the human microbiome is critical to developing treatments for putative microbiome-related afflictions such as obesity, Crohn’s disease, inflammatory bowel disease and malnutrition. Sequencing and computational technologies, however, have been a limiting factor in performing dense time series analysis of the human microbiome. Here, we present the largest human microbiota time series analysis to date, covering two individuals at four body sites over 396 timepoints.
We find that despite stable differences between body sites and individuals, there is pronounced variability in an individual’s microbiota across months, weeks and even days. Additionally, only a small fraction of the total taxa found within a single body site appear to be present across all time points, suggesting that no core temporal microbiome exists at high abundance (although some microbes may be present but drop below the detection threshold). Many more taxa appear to be persistent but non-permanent community members.
Citation impact
- FWCI
- 32.32
- Percentile
- 100%
- References
- 21
Authors
12- JGJ. Gregory CaporasoCorresponding
University of Colorado Boulder
- CLChristian L. Lauber
Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder
- EKElizabeth K. Costello
Stanford University
- DBDonna Berg-Lyons
Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder
- AGAntonio González
University of Colorado Boulder
Topics & keywords
- Biology
- Human genetics
- Microbiome
- Genome Biology
- Computational biology
- Human microbiome
- Evolutionary biology
- Human genome
- Zero hunger