Escherichia coli Peptidoglycan Structure and Mechanics as Predicted by Atomic-Scale Simulations
- 1. Georgia Institute of Technology
- 2. Imperial College London
- 3. California Institute of Technology
- 4. University of Chicago
Description
Bacteria face the challenging requirement to maintain their shape and avoid rupture due to the high internal turgor pressure, but simultaneously permit the import and export of nutrients, chemical signals, and virulence factors. The bacterial cell wall, a mesh-like structure composed of cross-linked strands of peptidoglycan, fulfills both needs by being semi-rigid, yet sufficiently porous to allow diffusion through it. How the mechanical properties of the cell wall are determined by the molecular features and the spatial arrangement of the relatively thin strands in the larger cellular-scale structure is not known. To examine this issue, we have developed and simulated atomic-scale models of Escherichia coli cell walls in a disordered circumferential arrangement. The cell-wall models are found to possess an anisotropic elasticity, as known experimentally, arising from the orthogonal orientation of the glycan strands and of the peptide cross-links. Other features such as thickness, pore size, and disorder are also found to generally agree with experiments, further supporting the disordered circumferential model of peptidoglycan. The validated constructs illustrate how mesoscopic structure and behavior emerge naturally from the underlying atomic-scale properties and, furthermore, demonstrate the ability of all-atom simulations to reproduce a range of macroscopic observables for extended polymer meshes.
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Additional details
Identifiers
- DOI
- 10.1371/journal.pcbi.1003475
- Other
- oai:uchicago.tind.io:10282
Funding
- National Institutes of Health
- K22-AI100927
- National Institutes of Health
- R01 GM062342
- Caltech
- Gordon and Betty Moore Center for Integrative Study of Cell Regulation
- University of Chicago and Argonne National Laboratory
- Computation Institute and the Biological Sciences Division