The last decade has seen a surge of interest in understanding the functional relationships between the elements that make up the diverse ecology of the gut microbiome. This ecological web includes bacteria, viruses, and microbes that enter, populate and leave living hosts. They affect metabolism and stimulate the immune system, directly or indirectly modulating most physiological functions.

Specific animal models are being explored in the context of their particular roles in this ecological web. For example, consider the importance of the insect gut microbiota as an invisible third faction in the chemical arms race that has given rise to a large portion of Earth's terrestrial diversity. Mathematical modeling has recently begun to play a role in our understanding of the functioning of the microbiome and how the microbiome is affected by the outside world.

In this paper, we present a mathematical model that describes the spatial dynamics of several competing bacterial populations along with a toxin that inhibits the growth of one of bacterial populations and is degraded by the other bacteria. The model consists of a system of four non-linear partial differential equations describing the interactions of the bacteria as they flow through the digestive tract. The model simulations and analysis give insight into possible mechanisms to explore in future laboratory experiments.

1.
National Institutes of Health (NIH)
, “
Human microbiome project
,” https://commonfund.nih.gov/hmp/overview.
2.
The Center for Ecogenetics and Environmental Health, University of Washington
, “
Fast facts about the human microbiome
,” https://depts.washington.edu/ceeh/downloads/FF_Microbiome.pdf.
3.
E.
Ferranti
,
S.
Dunbar
,
A.
Lang
, and
E.
Corwin
(
2014
)
20 things you didn?t know about the human gut microbiome
,
The Journal of Cardiovascular Nursing
29
,
479
481
.
4.
A. K.
Hansen
and
N. A.
Moran
(
2014
)
The impact of microbial symbionts on host plant utilization by herbivorous insects
,
Molecular Ecology
23
,
1473
1496
.
5.
H.
Itoh
,
K.
Tago
,
M.
Hayatsu
, and
Y.
Kikuchi
(
2018
)
Detoxifying symbiosis: microbe-mediated detoxification of phytotoxins and pesticides in insects
,
Natural Product Reports
,
1
21
.
6.
S.-B.
Hsu
and
P.
Waltman
(
1992
)
Analysis of a model of two competitors in a chemostat with an external inhibitor
,
SIAM Journal on Applied Mathematics
52
,
528
540
.
7.
S.-B.
Hsu
and
P.
Waltman
(
2004
)
A survey of mathematical models of competition with an inhibitor
,
Mathematical Biosciences
187
,
53
91
.
8.
I. P.
Martines
,
H. V.
Kojouharov
, and
J. P.
Grover
(
2009
)
A chemostat model of resource competition and allelopathy
,
Applied Mathematics and Computation
215
,
573
582
.
9.
B.
Bar
and
T.
Sari
(
2020
)
The operating diagram for a model of competition in a chemostat with an external lethal inhibitor
,
Discrete Continuous Dynamical Systems - B
25
,
2093
2120
.
10.
R. E.
Lenski
and
S. E.
Hattingh
(
1986
)
Coexistence of two competitors on one resource and one inhibitor: A chemostat model based on bacteria and antibiotics
,
Journal of Theoretical Biology
122
,
83
93
.
11.
S.
Hsu
,
Y.-S.
Li
, and
P.
Waltman
(
2000
)
Competition in the presence of a lethal external inhibitor
,
Mathematical Biosciences
167
,
177
199
.
12.
D. A.
Jones
,
H. L.
Smith
,
L.
Dung
, and
M.
Ballyk
(
1998
)
Effects of random motility on microbial growth and competition in a flow reactor
,
SIAM Journal on Applied Mathematics
59
,
573
596
.
13.
J. E.
Bailey
and
D. F.
Ollis
,
Biochemical Engineering Fundamentals
(
McGraw-Hill
,
1986
).
14.
C.-M.
Kung
and
B. C.
Baltzis
(
1992
)
The growth of pure and simple microbial competitors in a moving distributed medium
,
Mathematical Biosciences
111
,
295
313
.
15.
J.
Monod
(
1950
)
La technique de culture continue: Théorie et applications
,
Annales de l’Institut Pasteur
79
,
390
410
.
16.
L.
Dung
(
1997
)
On steady state solutions for a class of reaction diffusion systems
,
Canad. Appl. Math. Quart.
5
,
341
358
.
17.
L.
Dung
(
1998
)
Global attractors and steady state solutions for a class of reaction-diffusion systems
,
J. Differential Equations
147
,
1
28
.
18.
L.
Dung
and
H.
Smith
(
1996
)
A parabolic system modeling microbial competition in an unmixed bio-reactor
,
J. Differential Equations
130
,
59
91
.
19.
C.
Christov
, “Gaussian elimination with pivoting for multidiagonal systems,”
Internal Report
4
(
University of Reading
,
UK
,
1994
).
20.
J.
Su
,
H.
Gonzales
,
M.
Todorov
,
H.
Kojouharov
, and
L.
Tang
(
2011
)
A mathematical model for foreign body reactions in 2D
,
International Journal of Computer Mathematics
88
(
3
),
610
633
.
21.
B. M.
Chen-Charpentier
,
D. T.
Dimitrov
, and
H. V.
Kojouharov
(
2009
)
Numerical simulation of multi-species biofilms in porous media for different kinetics
,
Mathematics and Computers in Simulation
79
,
1846
1861
.
22.
M.
Bauer
,
K.
Kainz
,
D.
Carmona-Gutierrez
, and
F.
Madeo
(
2018
)
Microbial wars: Competition in ecological niches and within the microbiome
,
Microbial Cell
5
,
215
219
.
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