Modeling the Role of Feedback in the Adaptive Response of Bacterial Quorum Sensing.

Abstract:

:Bacterial quorum sensing (QS) is a form of intercellular communication that relies on the production and detection of diffusive signaling molecules called autoinducers. Such a mechanism allows the bacteria to track their cell density in order to regulate group behavior, such as biofilm formation and bioluminescence. In a number of bacterial QS systems, including V. harveyi, multiple signaling pathways are integrated into a single phosphorylation-dephosphorylation cycle. In this paper, we propose a weight control mechanism, in which QS uses feedback loops to 'decode' the integrated signals by actively changing the sensitivity in different pathways. We first use a slow/fast analysis to reduce a single-cell model to a planar dynamical system involving the concentrations of phosphorylated signaling protein LuxU and a small non-coding RNA. In addition to identifying the weight control mechanism, we show that adding a feedback loop can lead to a bistable QS response in certain parameter regimes. We then combine the slow/fast analysis with a contraction mapping theorem in order to reduce a population model to an effective single-cell model, and show how the weight control mechanism allows bacteria to have a finer discrimination of their social and physical environment.

journal_name

Bull Math Biol

authors

Fan G,Bressloff PC

doi

10.1007/s11538-019-00570-8

subject

Has Abstract

pub_date

2019-05-01 00:00:00

pages

1479-1505

issue

5

eissn

0092-8240

issn

1522-9602

pii

10.1007/s11538-019-00570-8

journal_volume

81

pub_type

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