scholarly journals Regulating lipid composition rationalizes acyl-tail saturation homeostasis in ectotherms

2019 ◽  
Author(s):  
M. Girard ◽  
T. Bereau

ABSTRACTCell membranes mainly consist of lipid bilayers with an actively regulated composition. The underlying processes are still poorly understood, in particular how the hundreds of components are controlled. Surprisingly, in recent experiments on ectotherms, the cholesterol fraction, along with un- and mono-saturated acyl tail fractions and demixing temperatures, was shown to increase with body temperature. We establish a model based on chemical reaction networks to study regulation of membranes, resulting in multiple semi-grand canonical ensembles. By running computer simulations, we show that higher cholesterol fractions correlate with lower degrees of unsaturation, ultimately controlling the composition of lipid tails. Cholesterol also dictates membrane viscosity and regulation of the latter implies that cholesterol must increase with temperature. Overall, our model proposes a different picture of lipid regulation, where components can be passively, instead of actively, regulated.SIGNIFICANCEIn this article, we propose a regulation model where only some of the components are actively regulated between membranes, while others are naturally balanced by chemical potentials. This model provides a rationale to recently measured puzzling trends in ectotherms, that is, increased plasma membrane cholesterol fraction with temperature. Here, we show that it is directly correlated with with acyl tail saturation and order parameter correlation length. Furthermore, we highlight the relation between cholesterol and membrane viscosity.

2020 ◽  
Author(s):  
M. Girard ◽  
T. Bereau

ABSTRACTThe plasma membrane is the interface between cells and exterior media. While its existence has been known for a long time, organization of its constituent lipids remain a challenge. Recently, we have proposed that lipid populations may be controlled by chemical potentials of different lipid species, resulting in semi-grand canonical thermodynamic ensembles. However, the currently available molecular dynamics software packages do not allow for molecule-based chemical potentials. Here, we propose a variation on existing algorithms that allow defining chemical potentials for molecules. Additionally, we allow coupling with collective variables and show that it can be used to dynamically create asymmetric membranes. We release an implementation of the algorithm for the HOOMD-Blue molecular dynamics engine.SIGNIFICANCEWe demonstrate an algorithm that allows for simulations of molecules in the semi-grand canonical ensemble. It also allows coupling the chemical potential values to collective variable and create asymmetric membranes.


Author(s):  
Michael P. Allen ◽  
Dominic J. Tildesley

This chapter contains the essential statistical mechanics required to understand the inner workings of, and interpretation of results from, computer simulations. The microcanonical, canonical, isothermal–isobaric, semigrand and grand canonical ensembles are defined. Thermodynamic, structural, and dynamical properties of simple and complex liquids are related to appropriate functions of molecular positions and velocities. A number of important thermodynamic properties are defined in terms of fluctuations in these ensembles. The effect of the inclusion of hard constraints in the underlying potential model on the calculated properties is considered, and the addition of long-range and quantum corrections to classical simulations is presented. The extension of statistical mechanics to describe inhomogeneous systems such as the planar gas–liquid interface, fluid membranes, and liquid crystals, and its application in the simulation of these systems, are discussed.


1997 ◽  
Vol 55 (21) ◽  
pp. 14222-14229 ◽  
Author(s):  
E. M. Vandeworp ◽  
Kathie E. Newman

Author(s):  
Abel Camacho ◽  
Alfredo Macías ◽  
Abel Camacho–Galván

2006 ◽  
Vol 16 (09) ◽  
pp. 2713-2719 ◽  
Author(s):  
KESTUTIS STALIUNAS

Momentum distributions and temporal power spectra of nonzero temperature Bose–Einstein condensates are calculated using a Gross–Pitaevskii model. The distributions are obtained for micro-canonical ensembles (conservative Gross–Pitaevskii equation) and for grand-canonical ensembles (Gross–Pitaevskii equation with fluctuations and dissipation terms). Use is made of equivalence between statistics of the solutions of conservative Gross–Pitaevskii and dissipative complex Ginzburg–Landau equations. In all cases the occupation numbers of modes follow a 〈Nk〉 ∝ k-2 dependence, which corresponds in the long wavelength limit (k → 0) to Bose–Einstein distributions. The temporal power spectra are of 1/fα form, where: α = 2 - D/2 with D the dimension of space.


Sign in / Sign up

Export Citation Format

Share Document