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Schuech, R.

Publications and source records attributed to Schuech, R..

3 recordsLinked to original sources

Optimal cell length for exploration and exploitation in chemotactic planktonic bacteria

Elongated morphologies are prevalent among motile bacterioplankton in aquatic systems. This is often attributed to enhanced chemotactic ability, but how long is best? We hypothesized the existence of an optimal cell length for efficient chemotaxis resulting from shape-imposed physical constraints acting on the trade-off between rapid exploration versus efficient exploitation of nutrient sources. To test this hypothesis, we first evaluated the chemotactic performance of elongated cephalexin-treated Escherichia coli towards -methyl-aspartate in an agarose-based microfluidic device that creates linear, stable and quiescent chemical gradients. Our experiments showed that cells of intermediate lengths aggregated most tightly to the chemoattractant source. We then replicated these experimental results with Individual Based Model (IBM) simulations. A sensitivity analysis of the IBM allowed us to gain mechanistic insights into which parameters drive this trend and showed that the poor chemotactic performance of very short cells is caused by loss of directionality, whereas long cells are penalized by brief, slow runs. Finally, we evaluated the chemotactic performance of cells of different length with IBM simulations of a phycosphere - a hotspot of microbial interactions in the ocean. Results indicated that long cells swimming in a run-and-reverse pattern with extended runs and moderate speeds are most efficient at harvesting nutrients in this microenvironment. The combination of microfluidic experiments and IBMs proves thus to be a powerful tool for untangling the physical constraints that motile bacteria are facing in aquatic systems.

ecology↗

Estimation of sinking velocities using free-falling dynamically scaled models: foraminifera as a test case

The velocity of settling particles is an important determinant of distribution in extinct and extant species with passive dispersal mechanisms, such as plants, corals, and phytoplankton. Here we adapt dynamic scaling, borrowed from engineering, to determine settling velocities. Dynamic scaling leverages physical models with relevant dimensionless numbers matched to achieve similar dynamics to the original object. Previous studies have used flumes, wind tunnels, or towed models to examine fluid flows around objects with known velocities. Our novel application uses free-falling models to determine the unknown sinking velocities of planktonic foraminifera - organisms important to our understanding of the Earths current and historic climate. Using enlarged 3D printed models of microscopic foraminifera tests, sunk in viscous mineral oil to match their Reynolds numbers and drag coefficients, we predict sinking velocities of real tests in seawater. This method can be applied to study other settling particles such as plankton, spores, or seeds. Summary StatementWe developed a novel method to determine the sinking velocities of biologically important microscale particles using 3D printed scale models.

biophysics↗

Motile curved bacteria are Pareto-optimal

Curved-rods are a ubiquitous bacterial phenotype, but the fundamental question of why they are shaped this way remains unanswered. Through in silico experiments, we assessed freely swimming straight- and curved-rod bacteria of a wide diversity of equal-volume shapes parameterized by elongation and curvature, and predicted their performances in tasks likely to strongly influence overall fitness. Performance tradeoffs between these tasks lead to a variety of shapes that are Pareto-optimal, including coccoids, all straight rods, and a range of curvatures. Comparison with an extensive morphological survey of motile curved-rod bacteria indicates that the vast majority of species fall within the Pareto-optimal region of morphospace. This result is consistent with evolutionary tradeoffs between just three tasks: efficient swimming, chemotaxis, and low cell construction cost. We thus reveal the underlying selective pressures driving morphological diversity in a wide-spread component of microbial ecosystems.\n\nSignificance StatementBacteria exhibit a bewildering diversity of morphologies but despite their impact on nearly all aspects of life, they are frequently classified into a few general categories, usually just spheres and rods. Curved-rod bacteria are one simple variation and are widespread, particularly in the ocean. However, why so many species have evolved this shape is unknown. We show that curvature can increase swimming efficiency, revealing a widely-applicable selective advantage. Furthermore, we show that the distribution of cell lengths and curvatures observed across bacteria in nature are predicted by evolutionary tradeoffs between three tasks influenced by shape: efficient swimming, the ability to detect chemical gradients, and reduced cost of cell construction. We therefore reveal shape as an important component of microbial fitness.

biophysics↗