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Ayappa, K. G.

Publications and source records attributed to Ayappa, K. G..

18 recordsLinked to original sources

Molecular models for Gram-positive bacterial strains: Assessing membrane properties and small molecule interactions for S.aureus, S. epidermidis and N. lacusekhoensis

We present a comparative study of the inner membrane of three Gram-positive bacterial strains, namely S. aureus, S. epidermidis and N. lacusekhoensis. A lipidomics study is used to obtain the lipid architecture and composition for S. epidermidis found in the skin microbiome and N. lacusekhoensis, an extremophile present in halophilic and alkophilic environments. Differences between the strains arise from both the lipid architecture and the cardiolipin content varying from 5% in S. aureus to 85% in N. lacusekhoensis. We develop coarse grained (CG) Martini-3 membrane models which reproduce structural properties such as membrane area, thickness, density distributions as well as ion-correlations with all-atom models. Inter-lipid correlations reveal a homogeneous distribution of lipids in the membranes despite the wide variation in lipid types and composition. Mechanical properties such as the area stretch modulus increased with cardiolipin content, however the bending modulus has a more complex dependence on membrane charge and lipid type. Using the CG models we evaluate the insertion free energies for four widely used antimicrobial molecules. Entry barriers for thymol and methylparaben arise from the charge density modulation at the membrane headgroups due to counterion condensation. The entry mechanisms of the antimicrobial peptide cecropin-melittin-15 (CM15) and the preservative molecule ethyl-lauroyl-arginate (ELAR) are found to be similar across all three strains. We also illustrate the manner in which the extremophilic strain, N. lacusekhoensis with its high cardiolipin content, modulates the partitioning kinetics of the antimicrobial molecule thymol with pH and salt. Our study reveals that membrane properties are largely conserved across the three model membranes. The molecular models and insights emerging from the present work should aid in the development of novel antimicrobials against Gram-positive strains.

biochemistry↗

Stearic acid enhances membrane fluidization and peptidoglycan stiffness to promote the stability of Gram-positive bacteria

Saturated fatty acids such as stearic acid (SA) can exhibit both antimicrobial and growth-promoting effects on bacteria, depending on their concentration and chemical structure. However, the physical properties of the bacterial cell envelope in response to such molecules remain under-explored compared to their biochemical pathways. In this study, a comprehensive investigation is presented on the interaction of SA with the Gram-positive bacterium, Staphylococcus epider-midis (S. epi). SA alters bacterial growth, reflected in a higher maximum specific growth rate, a shorter lag phase, and an extended exponential phase, consistent with a prebiotic effect. Using fluorescence correlation spectroscopy and fluorescence lifetime imaging microscopy, we show that SA incorporation leads to significant fluidization of the lipid membrane, characterized by enhanced lateral diffusion and reduced membrane viscosity. Coarse-grained molecular dynamics (CG-MD) simulations demonstrate spontaneous insertion of SA into the membrane and a significant increase in mean-square displacement after insertion, supporting our experimental observations. Importantly, atomic force microscopy measurements show an increase in cell-envelope stiffness, reflected by a higher Youngs modulus which can be attributed to modulations in the glycan-peptide linkage density based on earlier studies that correlate stiffness changes to peptidoglycan (PG) crosslinking in Gram-positive strains [1]. These results provide direct evidence linking membrane fluidization induced by SA and increased cell wall stiffness due to transport modifications in the membrane mediated PG synthesis pathways to enhance bacterial cell viability.

biophysics↗

Sphingomyelin-Cholesterol Synergy as a Lipid Chaperone Driving Cytolysin A Pore Formation

Bacterial pathogens rely on pore-forming toxins (PFTs) to breach host barriers, a feat that requires water-soluble monomers to spontaneously metamorphose into membrane-inserted pores. In the extracellular milieu, these toxins must navigate complex folding landscapes without ATP-dependent chaperones. Here, we show that the synergistic interplay of host sphingomyelin (SM) and cholesterol (CHOL) acts as an intrinsic "lipid chaperone" that drives the conformational maturation of the bacterial toxin Cytolysin A (ClyA). Using leakage assays on vesicles and suspended lipid bilayer (SuLBs) arrays, atomistic molecular dynamics (MD) simulations, cell membrane permeabilization assays and biophysical measurements, we demonstrate that SM-CHOL synergy accelerates the rate-limiting unfolding of the toxins membrane bound {beta}-tongue motif into a reactive "molten globule" intermediate and guides its subsequent refolding into functional -helical conformation crucial for pore formation. We identify conserved lysine residues (K175 and K206) as critical molecular sensors that detect this specific lipid signature to drive productive transformation. This assembly process reciprocally remodels the host membrane and dismantling liquid-ordered domains, suggesting a mechanical coupling between toxin folding and the disruption of host lipid homeostasis. Our findings establish a paradigm of lipid-mediated chaperoning, revealing how pathogens co-evolve to exploit host lipid complexity to overcome the energetic barriers of membrane insertion.

biophysics↗

Oxysterol accumulation in aging cells alters GPCR signalling

Organismal aging is accompanied by the accumulation of senescent cells in the body, which drives tissue dysfunction. Senescent cells have a distinctive profile, including proliferation arrest, resistance to apoptosis, altered gene expression, and high inflammation. Despite global signalling and metabolic dysregulation during senescence, the underlying reasons for changes in signalling remain unclear. GPCRs are pivotal in cellular signalling, dynamically mediating the complex interplay between cells and their surrounding environment to maintain cellular homeostasis. The chemokine receptor CXCR4 plays a crucial role in modulating immune responses and inflammation. It has been shown that expression of CXCR4 increases in cells undergoing senescence, which enhances inflammation post-activation. Here we examine CXCR4 signalling in deeply senescent cells, where cholesterol and its oxidized derivatives, oxysterols, affect receptor function. We report elevated oxysterol levels in senescent cells, which altered classical CXCL12-mediated CXCR4 signalling. Tail-oxidized sterols disrupted signalling more than ring-oxidized counterparts. Molecular dynamics simulations revealed that 27-hydroxycholesterol displaces cholesterol and binds strongly to alter the conformation of critical signalling residues to modify the sterol-CXCR4 interaction landscape. Our study provides a molecular view of the observed mitigated GPCR signalling in the presence of oxysterols, which switched G-protein signalling from Gi/o to Gs class. Overall, we present an altered paradigm of GPCR signalling where cholesterol oxidation alters the signalling outcome in aged cells. Significance StatementOur study brings to light a novel and significant discovery in aged cells: the accumulation of oxysterols, oxidized forms of cholesterol, critically impairs CXCR4-dependent signalling and alters G-protein coupling specificity. This effect of oxysterols is demonstrated for the first time in aged cellular models, providing a molecular basis for a multitude of observed alterations in senescence, such as compromised immune functions and a decline in cellular responsiveness with age. Our research not only fills a crucial gap in understanding the aging process at the molecular level but also identifies potential targets for therapeutic interventions aimed at mitigating age-related cellular dysfunctions and diseases.

cell biology↗

Cholesterol catalyzes unfolding in membrane inserted motifs of the pore forming protein cytolysin A

Plasma membrane induced protein folding and conformational transitions play a central role in cellular homeostasis. Several transmembrane proteins are folded in the complex lipid milieu to acquire a specific structure and function. Bacterial pore forming toxins (PFTs) are proteins expressed by a large class of pathogenic bacteria that exploit the plasma membrane environment to efficiently undergo secondary structure changes, oligomerize and form transmembrane pores. Unregulated pore formation causes ion imbalance leading to cell death and infection. Determining the free energy landscape of these membrane driven transitions remains a challenging problem. Although cholesterol recognition is required for lytic activity of several proteins in the PFT family of toxins, the regulatory role of cholesterol for the -PFT, cytolysin A expressed by E. coli is less understood. In a recent free energy computation, we have shown that the {beta}-tongue, a critical membrane inserted motif of the ClyA toxin, has an on-pathway partially unfolded intermediate that refolds into the helix-turn-helix motif of the pore state.1 To understand the molecular role played by cholesterol, we have carried out string method based computations in membranes devoid of cholesterol which reveals an increase of[~] 30 times in the free energy barrier for the loss of {beta}-sheet secondary structure when compared with membranes containing cholesterol. Specifically the tyrosine-cholesterol interaction was found to be critical to stabilizing the unfolded intermediate. In the absence of cholesterol the membrane was found to undergo large curvature deformations in both leaflets of the membrane accompanied by bilayer thinning. Our study with the -toxin, ClyA illustrates that cholesterol is critical to catalyzing and stabilizing the unfolded state of the {beta}-tongue in the membrane, opening up fresh insights into cholesterol assisted unfolding of membrane proteins. SignificanceCholesterol, an integral part of mammalian cell membranes, is necessary for activity of pathogenic toxins. Our understanding of the thermodynamic and molecular underpinnings of cholesterol-protein interactions during different stages of toxin activity is unclear. Using path based all atom molecular dynamics simulations, we illustrate lowered free energy barriers and enhanced stability of the membrane unfolded intermediate of an -pore forming toxin (PFT) ClyA providing insights into the increased pore formation kinetics with cholesterol. Thus, membrane cholesterol generally believed to play a passive receptor function for PFT activity is involved in a more complex regulatory role in assisting secondary structure transitions critical to PFT lytic activity. Our findings could aid in drug development strategies for mitigating PFT mediated bacterial infections.

biophysics↗

Modulated protein-sterol interactions drive oxysterol-induced impaired CXCR4 signalling

CXCR4 is a G-protein coupled receptor which mediates signalling for diverse functions such as cell proliferation and migration, hematopoiesis and plays a role in embryogenesis and development. Signal transduction occurs primarily through transmembrane helices that function in the multicomponent lipid environment of the plasma membrane. Elevated levels of plasma membrane oxysterols occur in cardiovascular and metabolic disorders, physiological stress and inflammatory conditions. We use experimental and simulation approaches to study the impact of oxysterol chemistry and composition on CXCL12-mediated CXCR4 signalling. Experiments on HeLa cells show a pronounced decrease in calcium oscillation response for the tail oxidized sterols in comparison with the ring oxidized sterols with 22(R) hydroxycholesterol showing a near complete loss of signalling followed by 27-hydroxycholesterol and 25-hydroxycholesterol. All-atom molecular dynamics simulations reveal that tail oxidized, 27-hydroxycholesterol, displaces cholesterol and ubiquitously binds to several critical signalling residues, as well as the dimer interface. Enhanced 27-hydroxycholesterol binding alters CXCR4 residue conformations, disrupts the toggle switch and induces secondary structure changes at both N and C termini. Our study provides a molecular view of the observed mitigated CXCR4 signalling in the presence of oxysterols revealing that disruption of cholesterol-protein interactions, important for regulating the active state, is a key factor in the loss of CXCR4 signalling. Additionally, a signalling class switching from Gi to Gs as revealed by increased CREB and ERK phosphorylation is observed in the experiments.

cell biology↗

Computing the mechanism of α-helix to β-sheet transition in proteins using the finitetemperature string method

The transition of an -helix to a {beta}-sheet in proteins is among the most complex conformational changes seen in bio-molecular systems. Currently, it is difficult to study such protein conformational changes in a direct molecular dynamics simulation. This limitation is typically overcome using an indirect approach wherein one computes the free energy landscape associated with the transition. Computation of free energy landscapes, however, requires a suitable set of collective variables that describe the transition. In this work we demonstrate the use of path collective variables [J. Chem. Phys. 126, 054103 (2007)] and combine it with the finite temperature string (FTS) method [J. Phys. Chem. B 109, 6688-6693 (2005)] to determine the molecular mechanisms involved during the structural transition of the mini G-protein from an -helix to a {beta}-hairpin. The transition from the -helix proceeds via unfolding of the terminal residues, giving rise to a {beta}-turn unfolded intermediate to eventually form the {beta}-hairpin. Our proposed algorithm uses umbrella sampling simulations to simulate images along the string and the weighted histogram analysis to compute the free energy along the computed transition path. This work demonstrates that the string method in combination with path collective variables can be exploited to study complex protein conformational changes such as a complete change in the secondary structure.

biophysics↗

Differentiating interactions of antimicrobials with Gram-negative and Gram-positive bacterial cell walls using molecular dynamics simulations

Developing molecular models to capture the complex physicochemical architecture of the bacterial cell wall and to study the interaction with antibacterial molecules is an important aspect of assessing and developing novel antimicrobial molecules. We carried out molecular dynamics simulations using an atomistic model of peptidoglycan (PGN) to represent the architecture for Gram-positive Staphylococcus aureus. The model is developed to capture various structural features of the staphylococcal cell wall, such as the peptide orientation, area per disaccharide, glycan length distribution, crosslinking, and pore size. A comparison of the cell wall density and electrostatic potentials is made with a previously developed cell wall model of Gram-negative bacteria, Escherichia coli, and properties for both a single and multilayered structures of the Staphylococcal cell wall are studied. We investigated the interactions of the antimicrobial peptide melittin with the PGN structures. The depth of melittin binding to PGN is more pronounced in E. coli than S. aureus, and consequently the melittin has greater contacts with glycan units of E. coli. Contacts of melittin with the amino acids of peptidoglycan are comparable across both the strains, and the D-Ala residues, which are sites for transpeptidation, show enhanced interactions with melittin. A low energetic barrier is observed for translocation thymol with the four-layered peptidoglycan model. The molecular model developed for Gram-positive PGN allows us to compare and contrast the cell wall penetrating properties with Gram-negative strains and assess for the first time binding and translocation of antimicrobial molecules for Gram-positive cell walls.

biophysics↗

A molecular dynamics study of antimicrobial peptide translocation across the outer membrane of Gram-negative bacteria

With rising bacterial resistance, antimicrobial peptides (AMPs) have been widely investigated as potential antibacterial molecules to replace conventional antibiotics. Our understanding of the molecular mechanism for membrane disruption are largely based on AMP interactions with the inner phospholipid bilayers of both Gram-negative and Grampositive bacteria. Mechanisms for AMP translocation across the outer membrane of Gram-negative bacteria composed of lipopolysaccharides and the asymmetric lipid bilayer are incompletely understood. In the current study, we have employed atomistic molecular dynamics and umbrella sampling simulations with an aggregate duration of ~ 8 microseconds to understand the free energy landscape of CM15 peptide within the OM of Gram-negative bacteria, E. coli. The peptide has a favourable binding free energy (-130 kJ mol-1) in the O-antigen region with a large barrier (150 kJ mol-1) at the interface between the anionic coresaccharides and upper bilayer leaflet made up of lipid A molecules. We have analyzed the peptide and membrane properties at each of the 100 ns duration umbrella sampling windows to study variations in the membrane and the peptide structure during the translocation through the OM. Interestingly the peptide is seen to elongate, adopting a membrane perpendicular orientation in the phospholipid region resulting in the formation of a transient water channel during its translocation through the bilayer. The presence of the peptide at the lipid A and core-saccharide interface results in a 11% increase in the membrane area with the peptide adopting a predominantly membrane parallel orientation in this cation rich region. Additionally, the lateral displacement of the peptide is significantly reduced in this region, and increases toward the inner phospholipid leaflet and the outer O-antigen regions of the membrane. The peptide is found to be sufficiently hydrated across both the hydrophilic as well as hydrophobic regions of the membrane and remains unstructured without any gain in helical content. Our study unravels the complex free energy landscape for the translocation of the AMP CM15 across the outer membrane of Gram-negative bacteria and we discuss the implications of our findings with the broader question of how AMPs overcome this barrier during antimicrobial activity.

biophysics↗

Conformational flexibility is a key determinant of the lytic activity of the pore forming protein, Cytolysin A

Bacterial pore-forming toxins (PFTs) bind and oligomerize on mammalian cell membranes forming nanopores, that cause cell lysis to promote a wide range of bacterial infections. Cytolysin A (ClyA), an alpha()-PFT, is known to undergo one of the largest conformational changes during its transition from a water soluble monomeric form to the membrane embedded dodecameric nanopore assembly. Despite extensive work on the structure and assembly of ClyA, a complete molecular picture of the interplay between the protein segments and membrane lipids driving this transformation remains elusive. In this study, we combine experiments and all-atom molecular dynamics (MD) simulations of ClyA and its mutants to unravel the role of the two key membrane interacting motifs, namely, the {beta}-tongue and N-terminus helix, in facilitating this critical transition. Erythrocyte turbidity and vesicle leakage assays reveal a loss of activity for {beta}-tongue mutant (Y178F), and delayed kinetics for the N-terminus mutants (Y27A and Y27F). All atom, thermal unfolding molecular dynamics simulations of the monomer carried out at 310, 350 and 400 K reveal a distinct reduction in the flexibility in both the {beta}-tongue and N-terminal regions of the mutants when compared with the wild type. This decreased loss of conformational flexbility correlates positively with the reduced lytic and leakage activity observed in experiments, indicating that the tendency to lose secondary structure in the {beta}-tongue region is an important step in the conformational transition bistability of the ClyA protein. Simulations with the membrane inserted oligomeric arcs representing the pore state reveal a greater destabilization tendency among the {beta}-tongue mutant as inferred from secondary structure and N-terminal positioning. Our combined experimental and simulation study, reveals that conformational flexibility is indispensable for the outward movement of the {beta}-tongue and the tendency to induce disorder in the {beta}-tongue is an important step in the transition to the membrane mediated helix-turn-helix motif integral to ClyA pore formation. This observed loss of secondary structure is akin to the structural transitions observed in intrinsically disordered proteins (IDPs) to support protein function. Our finding suggest that inherent flexibility in the protein could play a wider and hitherto unrecognized role in the membrane mediated conformational transitions of PFTs in general. Author summaryBacterial pore-forming toxins (PFTs) bind and oligomerize on mammalian cell membranes to form bilayer spanning nanopores. Unregulated pore formation disrupts ionic balance that compromises the permeability of the cell, leading to cell death and infection. PFTs display remarkable structural plasticity that allow these proteins to interconvert between the two physiochemically distinct water soluble and membrane bound forms. However the molecular mechanism for this robust interconversion is poorly understood. For example, upon membrane binding, cytolysin A (ClyA), an -PFT, shows one of the largest conformational changes in protein structure among the PFT family of proteins. In order to understand this transtition we characterized several point mutations in ClyA using experiments and molecular dynamics (MD) simulations to understand the role of two essential ClyA motifs ({beta} tongue and N-terminus) implicated in the conformational changes responsible for oligomerization and conferring stability to the pore state. Our study reveals that the innate conformational flexibility of the {beta} tongue results in a disordered intermediate state that facilitate the complete transition to the pore state. This tendency to disorder is compromised to varying degrees in ClyA mutants, correlating with the loss of lytic activity. Our results suggest that the finely tuned conformational flexibility in the membrane motifs of ClyA are critical to its function, revealing a broader paradigm that could be at play during membrane associated secondary structure transitions of proteins in general.

biophysics↗

Microtubule dynamics and the evolution of mitochondrial populations in fission yeast cells: A kinetic Monte Carlo study

Mitochondrial populations in cells are maintained by cycles of fission and fusion events. Perturbation of this balance has been observed in several diseases such as cancer and neurodegeneration. In fission yeast cells, the association of mitochondria with microtubules inhibits mitochondrial fission, [1] illustrating the intricate coupling between mitochondria and the dynamic population of microtubules within the cell. In order to understand this coupling, we carried out kinetic Monte Carlo (KMC) simulations to predict the evolution of mitochondrial size distributions for different cases; wild-type cells, cells with short and long microtubules, and cells without microtubules. Comparison are made with mitochondrial distributions reported in experiments with fission yeast cells. Using experimentally determined mitochondrial fission and fusion frequencies, simulations implemented without the coupling of microtubule dynamics predicted an increase in the mean number of mitochondria, equilibrating within 50 s. The mitochondrial length distribution in these models also showed a higher occurrence of shorter mitochondria, implying a greater tendency for fission, similar to the scenario observed in the absence of microtubules and cells with short microtubules. Interestingly, this resulted in overestimating the mean number of mitochondria and underestimating mitochondrial lengths in cells with wild-type and long microtubules. However, coupling mitochondrias fission and fusion events to the microtubule dynamics effectively captured the mitochondrial number and size distributions in wild-type and cells with long microtubules. Thus, the model provides greater physical insight into the temporal evolution of mitochondrial populations in different microtubule environments, allowing one to study both the short-time evolution as observed in the experiments (<5 minutes) as well as their transition towards a steady-state (>15 minutes). Our study illustrates the critical role of microtubules in mitochondrial dynamics and that coupling their growth and shrinkage dynamics is critical to predicting the evolution of mitochondrial populations within the cell. Author summaryMitochondria are semi-autonomous organelles that undergo fission and fusion to facilitate quality control and exchange of mitochondrial mass within the cell. Impaired mitochondrial fusion and fission dynamics are associated with disease states such as cancer and neurodegeneration. Recent experiments in fission yeast cells revealed a reduction in mitochondrial fission events when mitochondria were bound to the microtubules and longer microtubules shifted the mitochondrial population to longer lengths. In a distinct departure from earlier reports [2-16], we develop a generic framework to study the evolution of the mitochondrial population in fission yeast cells to predict the observed mitochondrial population by coupling the microtubule and mitochondrial dynamics. Using kinetic Monte Carlo (KMC) simulations we predict the temporal evolution of mitochondria in both the mutated and wild-type states of microtubules in fission yeast cells. The mitochondrial population evolves due to multiple fission and fusion reactions occurring between mitochondrial species of various lengths. Several models with varying complexity have been developed to study mitochondrial evolution, and predictions of the mitochondrial populations agree well with experimental data on fission yeast cells without microtubules and cells with short, wild-type and long microtubules. These set of microtubule states are consistent with not only the microtubule dynamics typically observed in cells under different physiological stimuli such as mitosis and disease states but also the stable microtubule states obtained through post-translational modification of and {beta} tubulin subunits of microtubules. Our study reveals that the temporal evolution of mitochondrial populations is an intrinsic function of the state of microtubules which modulates the fission and fusion frequencies to maintain mitochondrial homeostasis within cells.

systems biology↗

A Generic Force Field for Simulating Native Protein Structures Using Dissipative Particle Dynamics

A coarse-grained force field for molecular dynamics simulations of native structures of proteins in a dissipative particle dynamics (DPD) framework is developed. The parameters for bonded interactions are derived by mapping the bonds and angles for 20 amino acids onto target distributions obtained from fully atomistic simulations in explicit solvent. A dual-basin potential is introduced for stabilizing backbone angles, to cover a wide spectrum of protein secondary structures. The backbone dihedral potential enables folding of the protein from an unfolded initial state to the folded native structure. The proposed force field is validated by evaluating structural properties of several model peptides and proteins including the SARS-CoV-2 fusion peptide, consisting of -helices, {beta}-sheets, loops and turns. Detailed comparisons with fully atomistic simulations are carried out to assess the ability of the proposed force field to stabilize the different secondary structures present in proteins. The compact conformations of the native states were evident from the radius of gyration as well as the high intensity peaks of the root mean square deviation histograms, which were found to lie below 0.4 nm. The Ramachandran-like energy landscape on the phase space of backbone angles ({theta}) and dihedrals ({phi}) effectively captured the conformational phase space of -helices at [~]({phi} = 50{degrees},{theta} = 90{degrees}) and {beta}-strands at [~]({phi} = {+/-}180{degrees},{theta} = 90{degrees} - 120{degrees}). Furthermore, the residue-residue native contacts are also well reproduced by the proposed DPD model. The applicability of the model to multidomain complexes is assessed using lysozyme as well as a large helical bacterial pore-forming toxin, cytolysin A. Our studies illustrate that the proposed force field is generic, and can potentially be extended for efficient in-silico investigations of membrane bound polypeptides and proteins using DPD simulations.

biophysics↗

Interactions of surfactants with the bacterial cell wall and inner membrane: Revealing the link between aggregation and antimicrobial activity

Surfactants with their intrinsic ability to solubilize lipids are widely used as antibacterial agents. Interaction of surfactants with the bacterial cell envelope is complicated due to their propensity to aggregate. It is important to discern the interactions of micellar aggregates and single surfactants on the various components of the cell envelope to improve selectivity and augment the efficacy of surfactant-based products. In this study, we present a combined experimental and molecular dynamics investigation to unravel the molecular basis for the superior kill efficacy of laurate over oleate observed in contact time assays with live E. coli. To gain a molecular understanding of these differences, we performed all-atom molecular dynamics simulations to observe the interactions of surfactants with the periplasmic peptidoglycan layer and the inner membrane of Gram-negative bacteria. The peptidoglycan layer allows a greater number of translocation events for laurate when compared with oleate molecules. More interestingly, aggregates did not translocate the peptidoglycan layer, thereby revealing an intrinsic sieving property of the bacterial cell wall to effectively modulate the surfactant concentration at the inner membrane. The molecular dynamics simulations exhibit greater thinning of the inner membrane in the presence of laurate when compared with oleate, and laurate induced greater disorder and decreased the bending modulus of the inner membrane to a greater extent. The enhanced antimicrobial efficacy of laurate over oleate was further verified by experiments with giant unilamellar vesicles, which revealed that laurate induced vesicle rupture at lower concentrations in contrast to oleate. The novel molecular insights gained from our study uncovers hitherto unexplored pathways to rationalize the development of antimicrobial formulations and therapeutics.

biophysics↗

Evaluating coarse-grained MARTINI force-fields for capturing the ripple phase of lipid membranes

Phospholipids, which are an integral component of cell membranes, exhibit a rich variety of lamellar phases modulated by temperature and composition. Molecular dynamics (MD) simulations have greatly enhanced our understanding of phospholipid membranes by capturing experimentally observed phases and phase transitions at molecular resolution. However, the ripple (P{beta}') membrane phase, observed as an intermediate phase below the main gel-to-liquid crystalline transition with some lipids, has been challenging to capture with MD simulations, both at all-atom and coarse-grained (CG) resolution. Here, with an aggregate ~2.5 s all-atom and ~122 s CG MD simulations, we systematically assess the ability of six CG MARTINI 1,2-dipalmitoyl-sn-glycero-3-phosphocholine (DPPC) lipid and water force-field (FF) variants, parametrized to capture the DPPC gel and fluid phases, for their ability to capture the P{beta}' phase, and compared observations with those from an all-atom FF. Upon cooling from the fluid phase to below the phase transition temperature with smaller (380-lipid) and larger (> 2200-lipid) MARTINI and all-atom (CHARMM36 FF) DPPC lipid bilayers, we observed that smaller bilayers with both all-atom and MARTINI FFs sampled interdigitated P{beta}' and ripple-like states, respectively. However, while all-atom simulations of the larger DPPC membranes exhibited the formation of the P{beta}' phase, similar to previous studies, MARTINI membranes did not sample interdigitated ripple-like states at larger system sizes. We then demonstrated that the ripple-like states in smaller MARTINI membranes were kinetically-trapped structures caused by finite size effects rather than being representative of true P{beta}' phases. We showed that even a MARTINI FF variant that could capture the tilted L{beta}' gel phase, a prerequisite for stabilizing the P{beta}' phase, could not capture the rippled phase upon cooling. Our study reveals that the current MARTINI FFs (including MARTINI3) may require specific re-parametrization of the interaction potentials to stabilize lipid interdigitation, a characteristic of the ripple phase. TOC Graphic O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=114 SRC="FIGDIR/small/408674v2_ufig1.gif" ALT="Figure 1"> View larger version (66K): org.highwire.dtl.DTLVardef@36a8fcorg.highwire.dtl.DTLVardef@90511eorg.highwire.dtl.DTLVardef@bdb3f1org.highwire.dtl.DTLVardef@70bb9a_HPS_FORMAT_FIGEXP M_FIG C_FIG

biophysics↗

Bacterial pore-forming proteins induce non-monotonic dynamics due to lipid ejection and crowding

Developing alternate strategies against pore forming toxin (PFT) mediated bacterial virulence factors require an understanding of the target cellular response to combat rising antimicrobial resistance. Membrane-bound protein complexes involving PFTs, released by virulent bacteria are known to form pores leading to host cell lysis. However, membrane disruption and related lipid mediated active repair processes during attack by PFTs remain largely unexplored. We report counter intuitive and non-monotonic variations in lipid diffusion, measured using confocal fluorescence correlation spectroscopy, due to interplay of lipid ejection and crowding by membrane bound oligomers of a prototypical cholesterol dependent cytolysin, Listeriolysin O (LLO). The observed protein concentration dependent dynamical cross-over is correlated with transitions of LLO oligomeric state populations from rings to arc-like pore complexes, predicted using a proposed two-state free area based diffusion model. At low PFT concentrations, a hitherto unexplored regime of increased lipid diffusivity is attributed to lipid ejection events due to a preponderance of ring-like pore states. At higher protein concentrations where membrane inserted arc-like pores dominate, lipid ejection is less efficient and the ensuing crowding results in a lowering of lipid diffusion. These variations in lipid dynamics are corroborated by macroscopic rheological response measurements of PFT bound vesicles. Our study correlates PFT oligomeric state transitions, membrane remodelling and mechanical property variations, providing unique insights into developing strategies to combat virulent bacterial pathogens responsible for several infectious diseases. SIGNIFICANCEDeveloping alternate strategies against pore forming toxin (PFT) mediated bacterial virulence factors requires understanding target cellular responses and cellular defence strategies to combat rising antimicrobial resistant strains. While it is well understood that PFTs exist in a wide variety of oligomeric states, the underlying membrane response to these states is unexplored. Using confocal fluorescence correlation spectroscopy and a membrane free area based model we relate non-monotonic variations in the lipid diffusivity arising from an interplay of lipid ejection events and membrane crowding due to variations in concentration of membrane bound listeriolysin O. Our observations have a direct bearing on understanding cellular defense and repair mechanisms effective during initial stages of bacterial infection and intrinsically connected to the underlying membrane fluidity.

biophysics↗

Developing a Coarse-Grained Model for Bacterial Cell Walls and Evaluating Mechanical Properties and Free Energy Barriers

The bacterial cell envelope of Gram-negative bacteria is a complex biological barrier with multiple layers consisting of the inner membrane, periplasm of peptidoglycan and the outer membrane with lipopolysaccharides (LPS). With rising antimicrobial resistance there is increasing interest in understanding interactions of small molecules with the cell membrane to aid in the development of novel drug molecules. Hence suitable representations of the bacterial membrane are required to carry out meaningful molecular dynamics simulations. Given the complexity of the cell envelope, fully atomistic descriptions of the cell membrane with explicit solvent are computationally prohibitive, allowing limited sampling with small system sizes. However coarse-grained (CG) models such as MARTINI allow one to study phenomena at physiologically relevant length and time scales. Although MARTINI models for lipids and the LPS are available in literature, a suitable CG model of peptidoglycan is lacking. In this manuscript we develop a CG model of the peptidoglycan network within the MARTINI framework using an all-atom model developed by Gumbart et al. 1. The model is parametrized to reproduce the structural properties of the glycan strands, such as the end-to-end distance, equilibrium angle between adjacent peptides along the strands and area per disaccharide. Mechanical properties such as the area compressibility and the bending modulus are accurately reproduced. While developing novel antibiotics it is important to assess barrier properties of the peptidogylcan network. We evaluate and compare the free energy of insertion for a thymol molecule using umbrella sampling on both the MARTINI and all-atom peptidoglycan models. The insertion free energy was found to be less than kBT for both the MARTINI and all-atom models. Additional restraint free simulations reveal rapid translocation of thymol across peptidogylcan. We expect that the proposed MARTINI model for peptidoglycan will be useful in understanding phenomena associated with bacterial cell walls at larger length and time scales, thereby overcoming the current limitations of all-atom models.

biophysics↗

Assessing the Extent of Structural and Dynamic Modulation of Membrane Lipids due to Pore Forming Toxins: Insights from Molecular Dynamics Simulations

Infections in many virulent bacterial strains are triggered by the release of pore forming toxins (PFTs), which form oligomeric transmembrane pore complexes on the target plasma membrane. The spatial extent of the perturbation to the surrounding lipids during pore formation is relatively unexplored. Using all-atom molecular dynamics simulations, we investigate the changes in the structure and dynamics of lipids in a 1,2-dimyristoyl-sn-glycero-3-phosphocholine (DMPC) lipid bilayer in the presence of contrasting PFTs. Cytolysin A (ClyA) an toxin with its inserted wedge shaped bundle of inserted helices induces significant asymmetry across the membrane leaflets in comparison with hemolysin (AHL) a {beta} toxin. Despite the differences in hydrophobic mismatch and uniquely different topologies of the two oligomers, perturbation to lipid order as reflected in the tilt angle and order parameters, and membrane thinning is short ranged, lying within [~] 2.5 nm from the periphery of the either pore complex, commensurate with distances typically associated with van der Waals forces. In contrast, the spatial extent of perturbations to the lipid dynamics extend outward to at least 4 nm for both proteins, and the continuous survival probabilities reveal the presence of a tightly bound shell of lipids in this region. Displacement probability distributions show long tails and the distinctly non-Gaussian features reflect the induced dynamic heterogeneity. A detailed profiling of the protein-lipid contacts with residues tyrosine, tryptophan, lysine and arginine show increased non-polar contacts in the cytoplasmic leaflet for both PFTs, with a higher number of atomic contacts in the case of AHL in the extracellular leaflet due to the mushroom-like topology of the pore complex. The short ranged nature of the perturbations observed in this simple one component membrane suggests an inherent plasticity of membrane lipids enabling recovery of structure and membrane fluidity even in the presence of these large oligomeric trans-membrane protein assemblies. This observation has implications in membrane repair processes such as budding or vesicle fusion events used to mitigate PFT virulence, where the underlying lipid dynamics and fluidity in the vicinity of the pore complex are expected to play an important role.

biophysics↗

An In silico Algorithm for Identifying Amino Acids that Stabilize Oligomeric Membrane-Toxin Pores through Electrostatic Interactions

Pore forming toxins (PFTs) are a class of proteins which have specifically evolved to form unregulated pores in target plasma membranes, and represent the single largest class of bacterial virulence factors. With increasingly prevalent antibiotic-resistant bacterial strains, next generation therapies are being developed to target bacterial PFTs rather than the pathogens themselves. However, structure-based design of inhibitors that could block pore formation are hampered by a paucity of structural information about pore intermediates. On similar lines, observations of the inter-subunit interfaces in fully-formed pore complexes to identify druggable residues, whose interactions could potentially be blocked to hamper pore formation or destabilize pore assemblies, are often limited because of the presence of a large number of protein-protein interaction sites across pore inter-subunit interfaces. Narrowing down the list of plausible target residues requires a quantitative assessment of their contributions towards pore stability, which cannot be gleaned from a single, static, crystal or cryo-EM pore structure. We overcome this limitation by developing an in silico screening algorithm that employs fully atomistic molecular dynamics simulations coupled with knowledge-based screening to identify residues engaged in persistent and stabilizing electrostatic interactions across inter-subunit interfaces in membrane-inserted PFT pores. Application of this algorithm to prototypical -PFT (cytolysin A) and {beta}-PFT (-hemolysin) pores yielded a small predicted subset of highly interacting residues, blocking of which could destabilize pore complexes as shown in previous mutagenesis experiments for some of these predicted residues. The algorithm also yielded a novel set of residues in both cytolysin A and -hemolysin pores for which no mutagenesis and stability data exists to the best of our knowledge, and therefore could serve as hitherto un-recognised potential targets for PFT inhibitors. The algorithm worked equally well for both and {beta}-PFT pores, and could thus be potentially applicable to all pores with known structures to generate a database of pore-destabilizing mutations, which could then serve as a starting point for experimental validation and structure-based PFT-inhibitor design.

biophysics↗