Differential signal sensitivities can contribute to the stability of multispecies bacterial communities
Authored by Dora Bihary, Sandor Pongor, Janos Juhasz, Attila Jady, Balazs Ligeti
Date Published: 2017
DOI: 10.1186/s13062-017-0192-3
Sponsors:
Hungarian Scientific Research Fund (OTKA)
Hungarian National Research Fund
Platforms:
MATLAB
Model Documentation:
Other Narrative
Model Code URLs:
Model code not found
Abstract
Background: Bacterial species present in multispecies microbial
communities often react to the same chemical signal but at vastly
different concentrations. The existence of different response thresholds
with respect to the same signal molecule has been well documented in
quorum sensing which is one of the best studied inter-cellular
signalling mechanisms in bacteria. The biological significance of this
phenomenon is still poorly understood, and cannot be easily studied in
nature or in laboratory models. The aim of this study is to establish
the role of differential signal response thresholds in stabilizing
microbial communities.
Results: We tested binary competition scenarios using an agent-based
model in which competing bacteria had different response levels with
respect to signals, cooperation factors or both, respectively. While in
previous scenarios fitter species outcompete slower growing competitors,
we found that stable equilibria could form if the fitter species
responded to a higher chemical concentration level than the slower
growing competitor. We also found that species secreting antibiotic
could form a stable community with other competing species if antibiotic
production started at higher response thresholds.
Conclusions: Microbial communities in nature rely on the stable
coexistence of species that necessarily differ in their fitness. We
found that differential response thresholds provide a simple and elegant
way for keeping slower growing species within the community. High
response thresholds can be considered as self-restraint of the fitter
species that allows metabolically useful but slower growing species to
remain within a community, and thereby the metabolic repertoire of the
community will be maintained.
Tags
Agent-based modelling
Quorum sensing
health
systems
swarming
microbiome
disease
Quorum
Pseudomonas-aeruginosa
Molecules
Self-restraint
Response
threshold
Antibiotic production