CODY enables quantitatively spatiotemporal predictions on in vivo gut microbial variability induced by diet intervention
Artikel i vetenskaplig tidskrift, 2021

Microbial variations in the human gut are harbored in temporal and spatial heterogeneity, and quantitative prediction of spatiotemporal dynamic changes in the gut microbiota is imperative for development of tailored microbiome-directed therapeutics treatments, e.g. precision nutrition. Given the high-degree complexity of microbial variations, subject to the dynamic interactions among host, microbial, and environmental factors, identifying how microbiota colonize in the gut represents an important challenge. Here we present COmputing the DYnamics of microbiota (CODY), a multiscale framework that integrates species-level modeling of microbial dynamics and ecosystem-level interactions into a mathematical model that characterizes spatial-specific in vivo microbial residence in the colon as impacted by host physiology. The framework quantifies spatiotemporal resolution of microbial variations on species-level abundance profiles across site-specific colon regions and in feces, independent of a priori knowledge. We demonstrated the effectiveness of CODY using cross-sectional data from two longitudinal metagenomics studies—the microbiota development during early infancy and during short-term diet intervention of obese adults. For each cohort, CODY correctly predicts the microbial variations in response to diet intervention, as validated by available metagenomics and metabolomics data. Model simulations provide insight into the biogeographical heterogeneity among lumen, mucus, and feces, which provides insight into how host physical forces and spatial structure are shaping microbial structure and functionality.

Gut microbiota

Gastrointestinal

Systems biology

Författare

Jun Geng

Chalmers, Biologi och bioteknik, Systembiologi

Boyang Ji

Chalmers, Biologi och bioteknik, Systembiologi

Gang Li

Chalmers, Biologi och bioteknik, Systembiologi

Felipe López-Isunza

Universidad Autonoma Metropolitana - Iztapalapa

Jens B Nielsen

Danmarks Tekniske Universitet (DTU)

Novo Nordisk Foundation Center for Biosustainability

BioInnovation Institute

Chalmers, Biologi och bioteknik, Systembiologi

Proceedings of the National Academy of Sciences of the United States of America

0027-8424 (ISSN) 1091-6490 (eISSN)

Vol. 118 13 e2019336118

Styrkeområden

Hälsa och teknik

Ämneskategorier

Bioinformatik (beräkningsbiologi)

Bioinformatik och systembiologi

Naturgeografi

DOI

10.1073/pnas.2019336118

PubMed

33753486

Mer information

Senast uppdaterat

2021-05-04