Curvature sensing lipid dynamics in a mitochondrial inner membrane model
Abstract Membrane curvature is essential for many cellular structures and processes, and factors such as leaflet asymmetry, lipid composition, and proteins all play important roles. Cardiolipin is the signature lipid of mitochondrial membranes and is essential for maintaining the highly curved shape...
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Format: | Article |
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Nature Portfolio
2024-01-01
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Series: | Communications Biology |
Online Access: | https://doi.org/10.1038/s42003-023-05657-6 |
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author | Vinaya Kumar Golla Kevin J. Boyd Eric R. May |
author_facet | Vinaya Kumar Golla Kevin J. Boyd Eric R. May |
author_sort | Vinaya Kumar Golla |
collection | DOAJ |
description | Abstract Membrane curvature is essential for many cellular structures and processes, and factors such as leaflet asymmetry, lipid composition, and proteins all play important roles. Cardiolipin is the signature lipid of mitochondrial membranes and is essential for maintaining the highly curved shapes of the inner mitochondrial membrane (IMM) and the spatial arrangement of membrane proteins. In this study, we investigate the partitioning behavior of various lipids present in the IMM using coarse-grained molecular dynamics simulations. This study explores curved bilayer systems containing phosphatidylcholine (PC), phosphatidylethanolamine (PE), and cardiolipin (CDL) in binary and ternary component mixtures. Curvature properties such as mean and Gaussian curvatures, as well as the distribution of lipids into the various curved regions of the cristae models, are quantified. Overall, this work represents an advance beyond previous studies on lipid curvature sensing by simulating these systems in a geometry that has the morphological features and scales of curvature consistent with regions of the IMM. We find that CDL has a stronger preference for accumulating in regions of negative curvature than PE lipids, in agreement with previous results. Furthermore, we find lipid partitioning propensity is dominated by sensitivity to mean curvature, while there is a weaker correlation with Gaussian curvature. |
first_indexed | 2024-03-08T16:14:11Z |
format | Article |
id | doaj.art-4411d732a6384f96a6a980dd9e1bcd18 |
institution | Directory Open Access Journal |
issn | 2399-3642 |
language | English |
last_indexed | 2024-03-08T16:14:11Z |
publishDate | 2024-01-01 |
publisher | Nature Portfolio |
record_format | Article |
series | Communications Biology |
spelling | doaj.art-4411d732a6384f96a6a980dd9e1bcd182024-01-07T12:39:57ZengNature PortfolioCommunications Biology2399-36422024-01-017111310.1038/s42003-023-05657-6Curvature sensing lipid dynamics in a mitochondrial inner membrane modelVinaya Kumar Golla0Kevin J. Boyd1Eric R. May2Department of Molecular and Cell Biology, University of ConnecticutDepartment of Molecular and Cell Biology, University of ConnecticutDepartment of Molecular and Cell Biology, University of ConnecticutAbstract Membrane curvature is essential for many cellular structures and processes, and factors such as leaflet asymmetry, lipid composition, and proteins all play important roles. Cardiolipin is the signature lipid of mitochondrial membranes and is essential for maintaining the highly curved shapes of the inner mitochondrial membrane (IMM) and the spatial arrangement of membrane proteins. In this study, we investigate the partitioning behavior of various lipids present in the IMM using coarse-grained molecular dynamics simulations. This study explores curved bilayer systems containing phosphatidylcholine (PC), phosphatidylethanolamine (PE), and cardiolipin (CDL) in binary and ternary component mixtures. Curvature properties such as mean and Gaussian curvatures, as well as the distribution of lipids into the various curved regions of the cristae models, are quantified. Overall, this work represents an advance beyond previous studies on lipid curvature sensing by simulating these systems in a geometry that has the morphological features and scales of curvature consistent with regions of the IMM. We find that CDL has a stronger preference for accumulating in regions of negative curvature than PE lipids, in agreement with previous results. Furthermore, we find lipid partitioning propensity is dominated by sensitivity to mean curvature, while there is a weaker correlation with Gaussian curvature.https://doi.org/10.1038/s42003-023-05657-6 |
spellingShingle | Vinaya Kumar Golla Kevin J. Boyd Eric R. May Curvature sensing lipid dynamics in a mitochondrial inner membrane model Communications Biology |
title | Curvature sensing lipid dynamics in a mitochondrial inner membrane model |
title_full | Curvature sensing lipid dynamics in a mitochondrial inner membrane model |
title_fullStr | Curvature sensing lipid dynamics in a mitochondrial inner membrane model |
title_full_unstemmed | Curvature sensing lipid dynamics in a mitochondrial inner membrane model |
title_short | Curvature sensing lipid dynamics in a mitochondrial inner membrane model |
title_sort | curvature sensing lipid dynamics in a mitochondrial inner membrane model |
url | https://doi.org/10.1038/s42003-023-05657-6 |
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