Abstract:Patterns formed by reaction-diffusion mechanisms are crucial for the development or sustenance of most organisms in nature. Patterns include dynamic waves, but are more often found as static distributions, such as animal skin patterns. Yet, a simplistic biological model system to reproduce and quantitatively investigate static reactiondiffusion patterns has been missing so far. Here, we demonstrate that the Escherichia coli Min system, known for its oscillatory behavior between the cell poles, is under certain… Show more
“…Our in vitro experiments in laterally wide, flat microchambers with a well-controlled finite height showed that the Min-protein interactions can yield dramatically different patterns by changing only the height of the confining chamber and the E:D ratio. While the important role of total densities as control parameters was shown before (both in theoretical (37,39,52) and experimental (23,27) studies) our findings show that the bulk height, or more generally the bulk-surface ratio, is an equally important control parameter. This parameter determines how far concentration gradients can penetrate into the cytosol in the direction normal to the membrane.…”
Section: Discussionsupporting
confidence: 57%
“…The Min system was discovered in E. coli (14,15), and subsequently purified and reconstituted in vitro on supported lipid bilayers that mimic the cell membrane (16). This reconstitution provides a minimal system that enables precise control of reaction parameters and geometrical constraints (16)(17)(18)(19)(20)(21)(22)(23)(24)(25)(26)(27). This enabled the study of the patternformation process and its molecular mechanism in a well-controlled manner, and showed the ability of the Min system to form a rich plethora of dynamic patterns, predominantly travelling waves and spirals, but also "mushrooms", "snakes", "amoebas", "bursts" (16,17,28) as well as quasi-static labyrinths, spots, and mesh-like patterns (26,27).…”
1 Self-organisation of Min proteins is responsible for the spatial control of cell division in Escherichia coli, and has been studied both in vivo and in vitro. Intriguingly, the protein patterns observed in these settings differ qualitatively and quantitatively. This puzzling dichotomy has not been resolved to date. Here, we experimentally show that the dynamics crucially depend on the bulk-to-surface ratio, which is vastly different between the cell geometry and traditional in vitro setups. We systematically control the bulk-to-surface ratio in vitro using laterally wide microchambers with a well-controlled bulk height. A theoretical analysis shows that in vitro patterns at low bulk height are driven by the same lateral oscillation mode as pole-to-pole oscillations in vivo. At larger bulk height, additional vertical oscillation modes set in, marking the transition to a qualitatively different in vitro regime. Our work resolves the Min system's in vivo/in vitro conundrum and provides important insights on the mechanisms underlying protein patterns in bulk-surface coupled systems.
“…Our in vitro experiments in laterally wide, flat microchambers with a well-controlled finite height showed that the Min-protein interactions can yield dramatically different patterns by changing only the height of the confining chamber and the E:D ratio. While the important role of total densities as control parameters was shown before (both in theoretical (37,39,52) and experimental (23,27) studies) our findings show that the bulk height, or more generally the bulk-surface ratio, is an equally important control parameter. This parameter determines how far concentration gradients can penetrate into the cytosol in the direction normal to the membrane.…”
Section: Discussionsupporting
confidence: 57%
“…The Min system was discovered in E. coli (14,15), and subsequently purified and reconstituted in vitro on supported lipid bilayers that mimic the cell membrane (16). This reconstitution provides a minimal system that enables precise control of reaction parameters and geometrical constraints (16)(17)(18)(19)(20)(21)(22)(23)(24)(25)(26)(27). This enabled the study of the patternformation process and its molecular mechanism in a well-controlled manner, and showed the ability of the Min system to form a rich plethora of dynamic patterns, predominantly travelling waves and spirals, but also "mushrooms", "snakes", "amoebas", "bursts" (16,17,28) as well as quasi-static labyrinths, spots, and mesh-like patterns (26,27).…”
1 Self-organisation of Min proteins is responsible for the spatial control of cell division in Escherichia coli, and has been studied both in vivo and in vitro. Intriguingly, the protein patterns observed in these settings differ qualitatively and quantitatively. This puzzling dichotomy has not been resolved to date. Here, we experimentally show that the dynamics crucially depend on the bulk-to-surface ratio, which is vastly different between the cell geometry and traditional in vitro setups. We systematically control the bulk-to-surface ratio in vitro using laterally wide microchambers with a well-controlled bulk height. A theoretical analysis shows that in vitro patterns at low bulk height are driven by the same lateral oscillation mode as pole-to-pole oscillations in vivo. At larger bulk height, additional vertical oscillation modes set in, marking the transition to a qualitatively different in vitro regime. Our work resolves the Min system's in vivo/in vitro conundrum and provides important insights on the mechanisms underlying protein patterns in bulk-surface coupled systems.
“…The repeated switching of MinD polarity due to redistribution of MinE is what gives rise to the Min oscillations in E. coli. Recently also stationary Min patterns have been observed in vitro (Glock et al, 2019). Conversely, oscillatory Cdc42 dynamics are found in the fission yeast S. Pombe , and have also been indirectly observed in budding yeast mutants Ozbudak et al, 2005).…”
Section: Rescue Mechanism: Cdc42 Transport Plus Polar Gap Saturationmentioning
SummaryHow can a self-organized cellular function evolve, adapt to perturbations, and acquire new sub-functions? To make progress in answering these basic questions of evolutionary cell biology, we analyze, as a concrete example, the cell polarity machinery of Saccharomyces cerevisiae. This cellular module exhibits an intriguing resilience: it remains operational under genetic perturbations and recovers quickly and reproducibly from the deletion of one of its key components. Using a combination of modeling, conceptual theory, and experiments, we show that multiple, redundant self-organization mechanisms coexist within the protein network underlying cell polarization and are responsible for the module’s resilience and adaptability. Based on our mechanistic understanding of polarity establishment, we hypothesize how scaffold proteins, by introducing new connections in the existing network, can increase the redundancy of mechanisms and thus increase the evolvability of other network components. Moreover, our work suggests how a complex, redundant cellular module could have evolved from a more rudimental ancestral form.
“…We expect that the insights obtained from the minimal two-component model studied here generalize to systems with more components and multiple protein species. For example, in vitro studies of the reconstituted MinDE system of E. coli show that MinD and MinE spontaneously form dynamic membrane-bound patterns, including spiral waves [48] and quasi-stationary patterns [49]. These patterns emerge from the competition of MinD self-recruitment and MinE-mediated detachment of MinD [50,51].…”
Important cellular processes, such as cell motility and cell division, are coordinated by cell polarity, which is determined by the non-uniform distribution of certain proteins. Such protein patterns form via an interplay of protein reactions and protein transport. Since Turing’s seminal work, the formation of protein patterns resulting from the interplay between reactions and diffusive transport has been widely studied. Over the last few years, increasing evidence shows that also advective transport, resulting from cytosolic and cortical flows, is present in many cells. However, it remains unclear how and whether these flows contribute to protein-pattern formation. To address this question, we use a minimal model that conserves the total protein mass to characterize the effects of cytosolic flow on pattern formation. Combining a linear stability analysis with numerical simulations, we find that membrane-bound protein patterns propagate against the direction of cytoplasmic flow with a speed that is maximal for intermediate flow speed. We show that the mechanism underlying this pattern propagation relies on a higher protein influx on the upstream side of the pattern compared to the downstream side. Furthermore, we find that cytosolic flow can change the membrane pattern qualitatively from a peak pattern to a mesa pattern. Finally, our study shows that a non-uniform flow profile can induce pattern formation by triggering a regional lateral instability.
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