53 research outputs found
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Interaction between a cationic surfactant-like peptide and lipid vesicles and its relationship to antimicrobial activity
We investigate the properties of an antimicrobial
surfactant-like peptide (Ala)6(Arg), A6R, containing a
cationic headgroup. The interaction of this peptide with
zwitterionic (DPPC) lipid vesicles is investigated using a range of microscopic, X-ray scattering, spectroscopic, and calorimetric methods. The β-sheet structure adopted by A6R is disrupted in the presence of DPPC. A strong effect on the
small-angle X-ray scattering profile is observed: the Bragg
peaks from the DPPC bilayers in the vesicle walls are
eliminated in the presence of A6R and only bilayer form factor peaks are observed. All of these observations point to the interaction of A6R with DPPC bilayers. These studies provide insight into interactions between a model cationic peptide and vesicles, relevant to understanding the action of antimicrobial peptides on lipid membranes. Notably, peptide A6R exhibits antimicrobial activity without membrane lysis
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Heterogeneous absorption of antimicrobial peptide LL37 in escherichia coli cells enhances population survivability
Antimicrobial peptides (AMPs) are broad spectrum antibiotics that selectively target bacteria. Here we investigate the activity of human AMP LL37 against Escherichia coli by integrating quantitative, population and single-cell level experiments with theoretical modeling. We observe an unexpected, rapid absorption and retention of a large number of LL37 peptides by E. coli cells upon the inhibition of their growth, which increases population survivability. This transition occurs more likely in the late stage of cell division cycles. Cultures with high cell density exhibit two distinct subpopulations: a non-growing population that absorb peptides and a growing population that survive owing to the sequestration of the AMPs by others. A mathematical model based on this binary picture reproduces the rather surprising observations, including the increase of the minimum inhibitory concentration with cell density (even in dilute cultures) and the extensive lag in growth introduced by sub-lethal dosages of LL37 peptides
Cell-size control and homeostasis in bacteria.
How cells control their size and maintain size homeostasis is a fundamental open question. Cell-size homeostasis has been discussed in the context of two major paradigms: "sizer," in which the cell actively monitors its size and triggers the cell cycle once it reaches a critical size, and "timer," in which the cell attempts to grow for a specific amount of time before division. These paradigms, in conjunction with the "growth law" [1] and the quantitative bacterial cell-cycle model [2], inspired numerous theoretical models [3-9] and experimental investigations, from growth [10, 11] to cell cycle and size control [12-15]. However, experimental evidence involved difficult-to-verify assumptions or population-averaged data, which allowed different interpretations [1-5, 16-20] or limited conclusions [4-9]. In particular, population-averaged data and correlations are inconclusive as the averaging process masks causal effects at the cellular level. In this work, we extended a microfluidic "mother machine" [21] and monitored hundreds of thousands of Gram-negative Escherichia coli and Gram-positive Bacillus subtilis cells under a wide range of steady-state growth conditions. Our combined experimental results and quantitative analysis demonstrate that cells add a constant volume each generation, irrespective of their newborn sizes, conclusively supporting the so-called constant Δ model. This model was introduced for E. coli [6, 7] and recently revisited [9], but experimental evidence was limited to correlations. This "adder" principle quantitatively explains experimental data at both the population and single-cell levels, including the origin and the hierarchy of variability in the size-control mechanisms and how cells maintain size homeostasis
Extended Supplementary Information for Cell-Size Control and Homeostasis in Bacteria
<p>How cells control their size and maintain size homeostasis is a fundamental open question. Cell-size homeostasis has been discussed in the context of two major paradigms: “sizer,” in which the cell actively monitors its size and triggers the cell cycle once it reaches a critical size, and “timer,” in which the cell attempts to grow for a specific amount of time before division. These paradigms, in conjunction with the “growth law” and the quantitative bacterial cell-cycle model, inspired numerous theoretical models and experimental investigations, from growth to cell cycle and size control. However, experimental evidence involved difficult-to-verify assumptions or population-averaged data, which allowed different interpretations or limited conclusions. In particular, population-averaged data and correlations are inconclusive as the averaging process masks causal effects at the cellular level. In this work, we extended a microfluidic “mother machine” and monitored hundreds of thousands of Gram-negative <em>Escherichia coli</em> and Gram-positive <em>Bacillus subtilis</em> cells under a wide range of steady-state growth conditions. Our combined experimental results and quantitative analysis demonstrate that cells add a constant volume each generation, irrespective of their newborn sizes, conclusively supporting the so-called constant Δ model. This model was introduced for <em>E. coli</em> and recently revisited, but experimental evidence was limited to correlations. This “adder” principle quantitatively explains experimental data at both the population and single-cell levels, including the origin and the hierarchy of variability in the size-control mechanisms and how cells maintain size homeostasis.</p
Surface-Lattice Model Describes Electrostatic Interactions of Ions and Polycations with Bacterial Lipopolysaccharides: Ion Valence and Polycation’s Excluded Area
Micro-patterned agarose gel devices for single-cell high-throughput microscopy of E. coli cells
Long-term microfluidic tracking of coccoid cyanobacterial cells reveals robust control of division timing
Electrostatic Bending of Lipid Membranes: How Are Lipid and Electrostatic Properties Interrelated?
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