Ecological Modeling from Time-Series Inference: Insight into Dynamics and Stability of Intestinal Microbiota
Memorial Sloan Kettering Cancer Center
Abstract
The intestinal microbiota is a microbial ecosystem of crucial importance to human health. Understanding how the microbiota confers resistance against enteric pathogens and how antibiotics disrupt that resistance is key to the prevention and cure of intestinal infections. We present a novel method to infer microbial community ecology directly from time-resolved metagenomics. This method extends generalized Lotka-Volterra dynamics to account for external perturbations. Data from recent experiments on antibiotic-mediated Clostridium difficile infection is analyzed to quantify microbial interactions, commensal-pathogen interactions, and the effect of the antibiotic on the community. Stability analysis reveals that…
Citation impact
- FWCI
- 13.61
- Percentile
- 100%
- References
- 70
Authors
8- RRRichard R. SteinCorresponding
Memorial Sloan Kettering Cancer Center
- VBVanni BucciCorresponding
Memorial Sloan Kettering Cancer Center
- NCNora C. Toussaint
Memorial Sloan Kettering Cancer Center
- CGCharlie G. Buffie
Memorial Sloan Kettering Cancer Center
- GRGunnar Rätsch
Memorial Sloan Kettering Cancer Center
Topics & keywords
- Metagenomics
- Biology
- Colonisation resistance
- Clostridium difficile
- Microbial population biology
- Microbiology
- Ecosystem
- Antibiotics
- Life in Land