Escherichia coli Peptidoglycan Structure and Mechanics as Predicted by Atomic-Scale Simulations
Abstract
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.
Additional Information
© 2014 Gumbart et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. August 8, 2013; Accepted January 5, 2014; Published February 20, 2014. NIH K22-AI100927 to J.C.G. R01 GM062342 to B.R. HHMI to G.J.J. Gordon and Betty Moore Center for Integrative Study of Cell Regulation at Caltech to G.J.J. Computational resources were provided by the Computation Institute and the Biological Sciences Division of the University of Chicago and Argonne National Laboratory, under grant S10 RR029030-01. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.Attached Files
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Additional details
- PMCID
- PMC3930494
- Eprint ID
- 46069
- Resolver ID
- CaltechAUTHORS:20140604-091447469
- NIH
- K22-AI100927
- NIH
- R01 GM062342
- Howard Hughes Medical Institute (HHMI)
- Gordon and Betty Moore Foundation
- Argonne National Laboratory
- S10 RR029030-01
- Created
-
2014-06-04Created from EPrint's datestamp field
- Updated
-
2021-11-10Created from EPrint's last_modified field