Integrating microbial abundance time series with fermentation dynamics of the rumen microbiome via mathematical modelling.

ABSTRACT: The rumen represents a dynamic microbial ecosystem where fermentation metabolites and microbial concentrations change over time in response to dietary changes. The integration of microbial genomic knowledge and dynamic modelling can enhance our system-level understanding of rumen ecosystem's function. However, such an integration between dynamic models and rumen microbiota data is lacking. The objective of this work was to integrate rumen microbiota time series determined by 16S rRNA gene amplicon sequencing into a dynamic modelling framework to link microbial data to the dynamics of the volatile fatty acids (VFA) production during fermentation. For that, we used the theory of state observers to develop a model that estimates the dynamics of VFA from the data of microbial functional proxie

SUBMITTER: Davoudkhani M 

PROVIDER: S-EPMC10954177 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature