Host lifestyle affects human microbiota on daily timescales
Name
Alm_Host lifestyle.pdf
Size
4.22 MB
Format
Adobe PDF
Checksum (MD5)
767e3db765a19dabfbea14c2ffc967de
Author(s)
David, Lawrence A.
Materna, Arne
Friedman, Jonathan
Blackburn, Matthew C.
Baptista, Maria I. C.
Perrotta, Allison
Erdman, Susan E
Alm, Eric J
Date Issued
July 2014
Journal
Genome Biology
Publisher
Biomed Central Ltd.
Citation
David, Lawrence A, Arne C Materna, Jonathan Friedman, Maria I Campos-Baptista, Matthew C Blackburn, Allison Perrotta, Susan E Erdman, and Eric J Alm. “Host Lifestyle Affects Human Microbiota on Daily Timescales.” Genome Biology 15, no. 7 (2014): R89.
Version
Final published version
Abstract
Background:
Disturbance to human microbiota may underlie several pathologies. Yet, we lack a comprehensive understanding of how lifestyle affects the dynamics of human-associated microbial communities.
Results:
Here, we link over 10,000 longitudinal measurements of human wellness and action to the daily gut and salivary microbiota dynamics of two individuals over the course of one year. These time series show overall microbial communities to be stable for months. However, rare events in each subjects’ life rapidly and broadly impacted microbiota dynamics. Travel from the developed to the developing world in one subject led to a nearly two-fold increase in the Bacteroidetes to Firmicutes ratio, which reversed upon return. Enteric infection in the other subject resulted in the permanent decline of most gut bacterial taxa, which were replaced by genetically similar species. Still, even during periods of overall community stability, the dynamics of select microbial taxa could be associated with specific host behaviors. Most prominently, changes in host fiber intake positively correlated with next-day abundance changes among 15% of gut microbiota members.
Conclusions:
Our findings suggest that although human-associated microbial communities are generally stable, they can be quickly and profoundly altered by common human actions and experiences.
MIT Department
Massachusetts Institute of Technology. Computational and Systems Biology Program
Massachusetts Institute of Technology. Department of Biological Engineering
Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
Massachusetts Institute of Technology. Department of Physics
Massachusetts Institute of Technology. Division of Comparative Medicine
Koch Institute for Integrative Cancer Research at MIT
Terms of Use
Creative Commons Attribution
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1186/gb-2014-15-7-r89
