2018
DOI: 10.15407/ujpe63.3.255
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Analytical Approach for Calculating the Chemotaxis Sensitivity Function

Abstract: We consider the chemotaxis problem for a one-dimensional system. To analyze the interaction of bacteria and an attractant, we use a modified Keller-Segel model, which accounts for the attractant absorption. To describe the system, we use the chemotaxis sensitivity function, which characterizes the nonuniformity of the bacteria distribution. In particular, we investigate how the chemotaxis sensitivity function depends on the concentration of an attractant at the boundary of the system. It is known that, in the … Show more

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Cited by 3 publications
(14 citation statements)
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“…The dependence ( ) is dome-shaped (like those obtained for one-and two-dimensional systems [6,[19][20][21]). The dependence of this type can be explained as follows.…”
Section: Influence Of Boundary Conditions and Spatial Confinementsupporting
confidence: 61%
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“…The dependence ( ) is dome-shaped (like those obtained for one-and two-dimensional systems [6,[19][20][21]). The dependence of this type can be explained as follows.…”
Section: Influence Of Boundary Conditions and Spatial Confinementsupporting
confidence: 61%
“…The presence of a denominator in this term is explained by the experimental fact (see, e.g., work [6]) that the growth of the attractant concentration results in the saturation of the bacterial receptor sensitivity, so that the attractant gradient effect decreases. As was shown in works [19,21], the choice of the term associated with chemotaxis in the presented form [see Eq. (1)] makes it possible to correctly describe the chemotaxis effect not only at the qualitative level, but also at the quantitative one.…”
Section: Mathematical Modelmentioning
confidence: 99%
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“…To elucidate the character and specific features of the bacterial distribution in the system (and their dependences on the repellent distribution), a mathematical model is proposed, which is based on a nonlinear differential equation. The models of this type were used earlier to study the bacterial behavior in a medium with an attractant [22][23][24]. A similar approach is used in this work, but now, when developing the model, we take into account that the repellent is dealt with.…”
Section: Introductionmentioning
confidence: 99%