Generation and Computational Characterization of a Complex Staphylococcus aureus Lipid Bilayer.
Faramarz Joodaki1, Lenore M Martin2, Michael L Greenfield1
1Department of Chemical Engineering, University of Rhode Island, 360 Fascitelli Center for Advanced Engineering, Kingston, Rhode Island 02881, United States.
Langmuir : the ACS Journal of Surfaces and Colloids
|July 28, 2022
Summary
This study computationally models the Staphylococcus aureus cell membrane, revealing complex lipid structures and dynamics crucial for antibiotic resistance. The findings offer new insights into membrane properties beyond simpler models.
Area of Science:
- Biophysics
- Computational Biology
- Microbiology
Background:
- The cell membrane plays a vital role in Staphylococcus aureus antibiotic resistance.
- Understanding membrane structure and dynamics is key to developing new therapeutic strategies.
Purpose of the Study:
- To create a detailed molecular-scale computational model of the S. aureus lipid bilayer.
- To investigate the impact of diverse lipid compositions on membrane properties.
Main Methods:
- Developed a computational representation of the S. aureus lipid bilayer.
- Optimized phospholipid types and amounts using reverse Monte Carlo simulations based on literature data.
- Analyzed lipid bilayer thickness, area per headgroup, and density profiles (phosphorus, nitrogen, water, carbon).
Main Results:
- Modeled a bilayer with 19 phospholipid types, including branched saturated chains.
- Observed specific orientations of lysyl-phosphatidylglycerol (LPG) headgroups.
- Identified distinct ordering and mobility patterns in branched vs. unbranched lipid tails.
- Found that longer tails can span across leaflets and branching introduces disorder.
Conclusions:
- Complex lipid compositions significantly influence S. aureus membrane properties.
- Simulations provide insights not achievable with simpler, monodisperse lipid models.
- This detailed model advances understanding of membrane function in antibiotic resistance.
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