Optimal Cell Shape for Accurate Chemical Gradient Sensing in Eukaryote Chemotaxis (2503.04716v1)

Abstract: Accurate gradient sensing is crucial for efficient chemotaxis in noisy environments, but the relationship between cell shape deformations and sensing accuracy is not well understood. Using a theoretical framework based on maximum likelihood estimation, we show that the receptor dispersion, quantified by cell shape convex hull, fundamentally limits gradient sensing accuracy. Cells with a concave shape and isotropic error space achieve optimal performance in gradient detection. This concave shape, resulting from active protrusions or contractions, can significantly improve gradient sensing accuracy at the cost of increased energy expenditure. By balancing sensing accuracy and deformation cost, we predict that a concave, three-branched shape as optimal for cells in shallow gradients. To achieve efficient chemotaxis, our theory suggests that a cell should adopt a repeating "run-and-expansion" cycle. Our theoretical predictions align well with experimental observations, implying that the fast amoeboid cell motion is optimized near the physical limit for chemotaxis. This study highlights the crucial role of active cell shape deformation in facilitating accurate chemotaxis.