Modeling of the Passive Permeation of Mercury and Methylmercury Complexes Through a Bacterial Cytoplasmic Membrane

Jing Zhou, Micholas Dean Smith, Connor J. Cooper, Xiaolin Cheng, Jeremy C. Smith, Jerry M. Parks

Research output: Contribution to journalArticlepeer-review

16 Scopus citations

Abstract

Cellular uptake and export are important steps in the biotransformation of mercury (Hg) by microorganisms. However, the mechanisms of transport across biological membranes remain unclear. Membrane-bound transporters are known to be relevant, but passive permeation may also be involved. Inorganic HgII and methylmercury ([CH3HgII]+) are commonly complexed with thiolate ligands. Here, we have performed extensive molecular dynamics simulations of the passive permeation of HgII and [CH3HgII]+ complexes with thiolate ligands through a model bacterial cytoplasmic membrane. We find that the differences in free energy between the individual complexes in bulk water and at their most favorable position within the membrane are ∼2 kcal mol-1. We provide a detailed description of the molecular interactions that drive the membrane crossing process. Favorable interactions with carbonyl and tail groups of phospholipids stabilize Hg-containing solutes in the tail-head interface region of the membrane. The calculated permeability coefficients for the neutral compounds CH3S-HgII-SCH3 and CH3HgII-SCH3 are on the order of 10-5 cm s-1. We conclude that small, nonionized Hg-containing species can permeate readily through cytoplasmic membranes.

Original languageEnglish
Pages (from-to)10595-10604
Number of pages10
JournalEnvironmental Science and Technology
Volume51
Issue number18
DOIs
StatePublished - Sep 19 2017

Funding

This work was supported by the U.S. Department of Energy (DOE) Office of Science, Biological and Environmental Research, Subsurface Biogeochemical Research (SBR) Program through the Mercury Scientific Focus Area Program (SFA) at Oak Ridge National Laboratory (ORNL). ORNL is managed by UT-Battelle LLC for the U.S. DOE under contract number DE-AC05-00OR22725. This work used resources of the Compute and Data Environment for Science (CADES) at Oak Ridge National Laboratory. This research also used resources at the National Energy Research Scientific Computing Center (NERSC), which is supported by the Office of Science of the U.S. DOE under Contract No. DE-AC02-05CH11231. SJC was supported by NIH/NIGMS-IMSD grant R25GM086761. We thank Christopher T. Lee for providing the script to compute diffusion coefficients, Jianhui Tian for assistance with MD simulations, and Baohua Gu for insightful discussions.

FundersFunder number
Mercury Scientific Focus Area Program
NIH/NIGMS-IMSDR25GM086761
UT-Battelle LLCDE-AC05-00OR22725
U.S. Department of Energy
Office of Science
Biological and Environmental Research
Oak Ridge National Laboratory
Stephen F. Austin State University

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