Logarithmic sensing in Escherichia coli bacterial chemotaxis.
We studied the response of swimming Escherichia coli (E. coli) bacteria in a comprehensive set of well-controlled chemical concentration gradients using a newly developed microfluidic device and cell tracking imaging technique. In parallel, we carried out a multi-scale theoretical modeling of bacterial chemotaxis taking into account the relevant internal signaling pathway dynamics, and predicted bacterial chemotactic responses at the cellular level. By measuring the E. coli cell density profiles across the microfluidic channel at various spatial gradients of ligand concentration grad[L] and the average ligand concentration [L] near the peak chemotactic response region, we demonstrated unambiguously in both experiments and model simulation that the mean chemotactic drift velocity of E. coli cells increased monotonically with grad [L]/[L] or approximately grad(log[L])--that is E. coli cells sense the spatial gradient of the logarithmic ligand concentration. The exact range of the log-sensing regime was determined. The agreements between the experiments and the multi-scale model simulation verify the validity of the theoretical model, and revealed that the key microscopic mechanism for logarithmic sensing in bacterial chemotaxis is the adaptation kinetics, in contrast to explanations based directly on ligand occupancy.
Kalinin
Yevgeniy V
YV
School of Chemical and Biomolecular Engineering, Cornell University, Ithaca, New York 14853, USA.
Jiang
Lili
L
Tu
Yuhai
Y
Wu
Mingming
M
D000220:Adaptation, Biological; D002452:Cell Count; D002630:Chemotactic Factors / Q000378:metabolism; D002633:Chemotaxis / Q000502:physiology*; D003198:Computer Simulation; D004926:Escherichia coli / Q000502:physiology*; D046210:Microfluidic Analytical Techniques; D008954:Models, Biological; D015398:Signal Transduction
D002630:Chemotactic Factors