LAPSE:2023.11271
Published Article
LAPSE:2023.11271
Enzymatic Hydrolysis of Complex Carbohydrates and the Mucus in a Mathematical Model of a Gut Reactor
Thulasi Jegatheesan, Arun S. Moorthy, Hermann J. Eberl
February 27, 2023
Abstract
The human gut microbiota rely on complex carbohydrates for energy and growth, particularly dietary fiber and host-produced mucins. These complex carbohydrates must first be hydrolysed by certain microbial groups to enable cross-feeding by the gut microbial community. We consider a mathematical model of the enzymatic hydrolysis of complex carbohydrates into monomers by a microbial species. The resulting monomers are subsequently digested by the microbial species for growth. We first consider the microbial species in a single compartment continuous stirred-tank reactor where dietary fiber is the only available substrate. A two compartment configuration in which a side compartment connected by diffusion is also studied. The side compartment is taken to be the mucus layer of the human colon, providing refuge from washout and an additional source of complex carbohydrate in the form of mucins. The two models are studied using stability analysis, numerical exploration, and sensitivity analysis. The delay in substrate availability due to hydrolysis results in bistability and the unconditional asymptotic stability of the trivial equilibrium. The addition of the mucus compartment allows the microbial species to survive under conditions that would otherwise result in washout in a comparable single compartment reactor. This would suggest that depending on the features of the gut microbiota being studied, extracellular hydrolysis and a representation of the mucus layer should be included in mathematical and lab reactor models of the human gut microbiota.
Keywords
chemostat model, compartments, dietary fiber, gut model, hydrolysis, mucins
Subject
Suggested Citation
Jegatheesan T, Moorthy AS, Eberl HJ. Enzymatic Hydrolysis of Complex Carbohydrates and the Mucus in a Mathematical Model of a Gut Reactor. (2023). LAPSE:2023.11271
Author Affiliations
Jegatheesan T: Biophysics Interdepartmental Group, University of Guelph, 50 Stone Rd E, Guelph, ON N1G 2W1, Canada; Department of Mathematics and Statistics, University of Guelph, 50 Stone Rd E, Guelph, ON N1G 2W1, Canada
Moorthy AS: Biophysics Interdepartmental Group, University of Guelph, 50 Stone Rd E, Guelph, ON N1G 2W1, Canada [ORCID]
Eberl HJ: Biophysics Interdepartmental Group, University of Guelph, 50 Stone Rd E, Guelph, ON N1G 2W1, Canada; Department of Mathematics and Statistics, University of Guelph, 50 Stone Rd E, Guelph, ON N1G 2W1, Canada
Journal Name
Processes
Volume
11
Issue
2
First Page
370
Year
2023
Publication Date
2023-01-25
ISSN
2227-9717
Version Comments
Original Submission
Other Meta
PII: pr11020370, Publication Type: Journal Article
Record Map
Published Article

LAPSE:2023.11271
This Record
External Link

https://doi.org/10.3390/pr11020370
Publisher Version
Download
Files
Feb 27, 2023
Main Article
License
CC BY 4.0
Meta
Record Statistics
Record Views
393
Version History
[v1] (Original Submission)
Feb 27, 2023
 
Verified by curator on
Feb 27, 2023
This Version Number
v1
Citations
Most Recent
This Version
URL Here
https://psecommunity.org/LAPSE:2023.11271
 
Record Owner
Auto Uploader for LAPSE
Links to Related Works
Directly Related to This Work
Publisher Version
(0.07 seconds)

[0.07 s]