Genetically engineered bacteria to increase the tumbling frequency of the run-and-tumble motion for the higher local bacterial density form visible stripe pattern composed of successive high and low density regions on an agar plate. Previously proposed continuum models successfully reproduced the stripe patterns, but the finite response time of the individual cells to the change of local density has not been taken into account in those models. In this article, we propose a model that includes a simplified regulatory dynamics of the tumbling frequency in individual cells , and numerically simulate the behavior . We show that the time-delay due to the response dynamics results in the instability in a homogeneous steady state allowing a pattern formation. For further understanding, we propose a simplified two-state model that allows us to describe the response time dependence of the instability analytically. We show that the instability occurs at long wave length as long as the response time is comparable with the tumbling timescale and the non-linearity of the response function to the change of the density is high enough. The minimum system size to see the instability grows with the response time  , proportional to \tau in the large delay limit.
Genetically engineered bacteria to increase the tumbling frequency of the run-and-tumble motion for the higher local bacterial density form visible stripe pattern composed of successive high and low density regions on an agar plate. We propose a model that includes a simplified regulatory dynamics of the tumbling frequency in individual cells to clarify the role of finite response time . We show that the time-delay due to the response dynamics results in the instability in a homogeneous steady state allowing a pattern formation. For further understanding, we propose a simplified two-state model that allows us to describe the response time dependence of the instability analytically. We show that the instability occurs at long wave length as long as the response time is comparable with the tumbling timescale and the non-linearity of the response function to the change of the density is high enough. The minimum system size to see the instability grows with the response time \tau , proportional to \tau in the large delay limit.
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Previously proposed continuum models successfully reproduced the stripe patterns, but the finite response time of the individual cells to the change of local density has not been taken into account in those models. In this article, we
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, and numerically simulate the behavior
to clarify the role of finite response time
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