Abstract
The multidrug efflux pumps of Gram-negative bacteria are a class of complexes that span the periplasm, coupling both the inner and outer membranes to expel toxic molecules. The best-characterized example of these tripartite pumps is the AcrAB-TolC complex of Escherichia coli. However, how the complex interacts with the peptidoglycan (PG) cell wall, which is anchored to the outer membrane (OM) by Braun's lipoprotein (Lpp), is still largely unknown. In this work, we present molecular dynamics simulations of a complete, atomistic model of the AcrAB-TolC complex with the inner membrane, OM, and PG layers all present. We find that the PG localizes to the junction of AcrA and TolC, in agreement with recent cryo-tomography data. Free-energy calculations reveal that the positioning of PG is determined by the length and conformation of multiple Lpp copies anchoring it to the OM. The distance between the PG and OM measured in cryo-electron microscopy images of wild-type E. coli also agrees with the simulation-derived spacing. Sequence analysis of AcrA suggests a conserved role for interactions with PG in the assembly and stabilization of efflux pumps, one that may extend to other trans-envelope complexes as well.
Original language | English |
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Pages (from-to) | 3973-3982 |
Number of pages | 10 |
Journal | Biophysical Journal |
Volume | 120 |
Issue number | 18 |
DOIs | |
State | Published - Sep 21 2021 |
Funding
This work was supported by National Institutes of Health grant R01-AI052293 to H.I.Z. J.M.P. J.C.S. and J.C.G. This work was also supported by a Medical Research Council grant MR/P019374/1 to M.B. and a Medical Research Council PhD Doctoral Training Partnership award grant number MR/K501281/1 to J.L.F. An award of computer time was provided by the Innovative and Novel Computational Impact on Theory and Experiment (INCITE) program (BIP150). This research used resources of the Oak Ridge Leadership Computing Facility at Oak Ridge National Laboratory and the Compute and Data Environment for Science (CADES), which is supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC05-00OR22725. Additional computational resources were provided through the Extreme Science and Engineering Discovery Environment (TG-MCB130173), which is supported by National Science Foundation grant ACI-1548562. This work was supported by National Institutes of Health grant R01-AI052293 to H.I.Z., J.M.P., J.C.S., and J.C.G. This work was also supported by a Medical Research Council grant MR/P019374/1 to M.B. and a Medical Research Council PhD Doctoral Training Partnership award grant number MR/K501281/1 to J.L.F. An award of computer time was provided by the Innovative and Novel Computational Impact on Theory and Experiment (INCITE) program (BIP150). This research used resources of the Oak Ridge Leadership Computing Facility at Oak Ridge National Laboratory and the Compute and Data Environment for Science (CADES), which is supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC05-00OR22725 . Additional computational resources were provided through the Extreme Science and Engineering Discovery Environment ( TG-MCB130173 ), which is supported by National Science Foundation grant ACI-1548562 .
Funders | Funder number |
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Compute and Data Environment for Science | |
Extreme Science and Engineering Discovery Environment | TG-MCB130173 |
National Science Foundation | ACI-1548562 |
National Institutes of Health | R01-AI052293 |
U.S. Department of Energy | DE-AC05-00OR22725 |
Office of Science | |
Oak Ridge National Laboratory | |
Medical Research Council | MR/K501281/1, MR/P019374/1, BIP150 |