A tridiagonal patch model of bacteria inhabiting a Nanofabricated landscape

Robert Stephen Cantrell; Brian Coomes; Yifan Sha

doi:10.3934/mbe.2017050

Article Contents

2017, Volume 14, Issue 4: 953-973. Doi: 10.3934/mbe.2017050

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A tridiagonal patch model of bacteria inhabiting a Nanofabricated landscape

1.
Department of Mathematics, The University of Miami, Coral Gables, FL 33124, USA
2.
Department of Public Health Division of Biostatistics, Miller School of Medicine, The University of Miami, Miami, FL 33136, USA

* Corresponding author: RSC
* Corresponding author: RSC

Received: July 2016

Accepted: January 2017

Published online: February 2017

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Abstract

In this paper we employ a discrete-diffusion modeling framework to examine a system inspired by the nano-ecology experiments on the bacterium Escherichia coli reported upon in Keymer et al. (2006). In these experiments, the bacteria inhabit a linear array of 85" microhabitat patches (MHP's)", linked by comparatively thinner corridors through which bacteria may pass between adjacent MHP's. Each MHP is connected to its own source of nutrient substrate, which flows into the MHP at a rate that can be controlled in the experiment. Logistic dynamics are assumed within each MHP, and nutrient substrate flow determines the prediction of the within MHP dynamics in the absence of bacteria dispersal between patches. Patches where the substrate flow rate is sufficiently high sustain the bacteria in the absence of between patch movement and may be regarded as sources, while those with insufficient substrate flow lead to the extinction of the bacteria in the within patch environment and may be regarded as sinks. We examine the role of dispersal in determining the predictions of the model under source-sink dynamics.

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Mathematics Subject Classification: Primary: 92D25; Secondary: 34D05.

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Figure 1. (Experiment 1) We illustrate the role of increasing the bacterial self-aggregation parameter $\gamma$ in Experiment 1. Here the value of $\gamma$ is: $(a)$ $0$, $(b)$ $4$, $(c)$ $10$ and $(d)$ $50$..

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Table 1. (Experiment 2) We display equilibrium values for the model (6) with $7$ MHP's. Values of all parameters except $\beta_{3}$ and $\beta_{5}$ are fixed as in the text. Values for $(\beta_{3},\beta_{5})$ for each experiment are: $(a)$ $(0.3, 0.14)$, $(b)$ $(0.26, 0.18)$, $(c)$ $(0.24, 0.2)$, $(d)$ $(0.2, 0.24)$, $(e)$ $(0.16, 0.28)$, $(f)$ $(0.15, 0.29)$, $(g)$ $(0.14, 0.3)$, $(h)$ $(0.14, 0.39)$..

	Patch Number
	1	2	3	4	5	6	7
a	0.0000589	0.000331	0.00187	0.0134	0.00139	0.000208	0.0000305
b	0.0000584	0.000307	0.00172	0.0133	0.00148	0.000219	0.0000324
c	0.0000530	0.000297	0.00165	0.0133	0.00153	0.000226	0.0000333
d	0.0000497	0.000278	0.00154	0.0133	0.00164	0.000242	0.0000356
e	0.0000470	0.000263	0.00144	0.0133	0.00178	0.000259	0.0000382
f	0.0000463	0.000259	0.00142	0.0134	0.00181	0.000264	0.0000389
g	0.0000457	0.000256	0.00140	0.0134	0.00185	0.000269	0.0000397
h	0.0000472	0.000264	0.00145	0.0145	0.00229	0.000326	0.0000478

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