%0 Journal Article
%9 Article
%W National Agricultural Library
%~ PubAg
%B Food research international
%T Determination of potential metabolic pathways of human intestinal bacteria by modeling growth kinetics from cross-feeding dynamics
%A Van Wey, A.S.
%A Lovatt, S.J.
%A Roy, N.C.
%A Shorten, P.R.
%V 2016 v.88
%K Eubacterium hallii
%K Roseburia intestinalis
%K acetates
%K bacteria
%K bacterial communities
%K biochemical pathways
%K butyrates
%K carbon
%K digestive system
%K fructooligosaccharides
%K growth models
%K intestinal microorganisms
%K kinetics
%K lactic acid
%K mathematical models
%K metabolites
%K slurries
%M 5267795
%X Microbial cross-feeding is essential for a healthy commensal bacteria community in the human gut. Here we present mathematical models that account for the various types of cross-feeding by human commensal intestinal bacteria. The model bacteria include a mixed but unknown microbial community (fecal slurry), Eubacterium hallii, Roseburia intestinalis, Roseburia inulinivorans, and Anaserostipes caccae. These mathematical models demonstrate that a carbon balance approach together with chemical kinetic analysis and parameters estimated from model fitting can be used to determine which of several potential metabolic pathways are employed by cross-feeding bacterial communities to produce their metabolites. The approach can be used to estimate growth kinetics either if the population of bacteria is known, or if the population is mixed and unknown. Based on chemical kinetic analysis, an alternative view of the metabolic pathway of E. hallii is proposed. The modeling suggested that the production of butyrate by E. hallii from lactate and acetate was a second rather than a third-order reaction. Furthermore, the process by which both R. inulinivorans and R. intestinalis degraded carbohydrates and acetate was a second order reaction, and the consumption ratio was found to be approximately 1mM FE oligofructose to 1mM acetate for both Roseburia strains. As well as estimating metabolic parameters, the approach has also suggested candidate metabolic pathways for those systems that could be tested experimentally.
%D 2016
%= 2019-08-19
%G
%8 2016-10
%V v. 88
%P pp. 207-216
%R 10.1016/j.foodres.2016.02.004