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. 2016 Dec 23;6:39332. doi: 10.1038/srep39332

Self assembly of HIV-1 Gag protein on lipid membranes generates PI(4,5)P2/Cholesterol nanoclusters

Naresh Yandrapalli 1, Quentin Lubart 2, Hanumant S Tanwar 3, Catherine Picart 2, Johnson Mak 3, Delphine Muriaux 1,a, Cyril Favard 1,b
PMCID: PMC5180241  PMID: 28008947

Abstract

The self-assembly of HIV-1 Gag polyprotein at the inner leaflet of the cell host plasma membrane is the key orchestrator of virus assembly. The binding between Gag and the plasma membrane is mediated by specific interaction of the Gag matrix domain and the PI(4,5)P2 lipid (PIP2). It is unknown whether this interaction could lead to local reorganization of the plasma membrane lipids. In this study, using model membranes, we examined the ability of Gag to segregate specific lipids upon self-assembly. We show for the first time that Gag self-assembly is responsible for the formation of PIP2 lipid nanoclusters, enriched in cholesterol but not in sphingomyelin. We also show that Gag mainly partition into liquid-disordered domains of these lipid membranes. Our work strongly suggests that, instead of targeting pre-existing plasma membrane lipid domains, Gag is more prone to generate PIP2/Cholesterol lipid nanodomains at the inner leaflet of the plasma membrane during early events of virus assembly.

The retroviral Gag protein drives the assembly process of the Human Immunodeficiency Virus type 1(HIV-1) particles1,2. This protein is synthesized as a polyprotein Pr55 Gag, which contains three major structural domains, namely matrix (MA), capsid (CA) and nucleocapsid (NC), as well as two spacer peptides, sp1 and sp2 and an unstructured C-terminus p6 peptide. Each of these domains are known to have a specific and distinct function during the viral assembly process. Importantly, the N-terminal MA domain targets Gag to the plasma membrane and mediates membrane binding, the CA domain is responsible for Gag-Gag interaction and self-assembly and the NC domain recruits the viral RNA that also acts as a scaffold for viral particle assembly3. Although it has recently been shown that HIV assembly may be initiated in the cytosol4, it is commonly accepted that the formation of large HIV-1 assembly complex mainly occurs at the plasma membrane (PM) of the virus producing cells. Two main features of the N-terminal MA domain of Gag govern the HIV-1 Gag inner leaflet PM binding: the N-terminal myristate and the highly basic region (HBR) that contains a specific binding pocket for the phosphatidyl inositol (4,5) bisphosphate lipid (PI(4,5)P2 or PIP2)5. PIP2 has been shown to play a major role in HIV-1 assembly in cells since cellular depletion of PIP2 decrease the efficiency of viral particle release6. In addition, PIP2 is also enriched in the virus envelope relative to the PM of the virus-producing cells7. This lipidomic analysis also shows that HIV particles are enriched in sphingolipids and cholesterol7 supporting the idea that the viral particles are released from the so called “rafts” domains. Historically, Gag has been shown to associate with detergent resistant membrane (DRM) by cell membrane fraction assays8,9. Nevertheless, the exact composition of these “rafts” or DRM is controversial10,11. Indeed, many different types of “rafts” may exist within the plasma membrane as long as they are enriched in cholesterol and sphingolipids12. However, Gag self-assembly occurs at the inner leaflet of the cellular PM where sphingolipids are poorly present. Moreover, natural PIP2, the main interacting partner of Gag, has a polyunsaturated fatty acyl residue at the sn-2 position of the glycerol backbone. This acyl chain polyunsaturation is not in favour of PIP2 partitioning into rafts13. To circumvent such a constrain, Saad et al. suggested a model based on NMR data using truncated acyl chains PIP25. In this model, the sn-2 acyl chain of the PIP2 is removed from the plane of the membrane and trapped into an hydrophobic pocket of MA. However, coarse grained dynamics studies14 and new NMR experiments using full length acyl chain PIP215 showed the opposite. Finally, recent experiments using either a multimerizable matrix domain of HIV-1 Gag16 or RSV Gag17 also exhibited contradictory results regarding their partitioning in lipid domains of giant unilamellar vesicles (GUVs).

Therefore, the ability of the Gag/PIP2 complex to partition preferentially into “raft” domains or more generally into PM pre-existing domains to enhance virus assembly is still a matter of controversy18. In order to elucidate whether Gag would bind to pre-existing “rafts” or lipid domains in the PM or generate its own lipid domains for assembling, we first decided to monitor its binding and partitioning to single or dual-phase model membranes made with simple and complex lipid compositions (see Table 1 for detailed composition of lipid mixtures). On GUVs, we observed that Gag was mainly partitioning into liquid-disordered (Ld) phase, i.e. more likely out of “rafts” microdomains in the dual-phase model membrane and that Gag was not generating micrometer range lipid phase separation in single phase model membranes.

Table 1. Different lipid composition of LUV, SLB and GUV used in the single labeled lipid experiments.

  Basic
 Substituted Basic
 Inner Leaflet#
 Rafts-mimicking#
Lipid Mol% Lipid Mol% Lipid Mol% Lipid Mol%
EggPC EggPC 68 Egg PC 66 Egg PC 17 DOPC 31
Brain PS 30 Brain PS 30 Brain PS 17 DOPS 6
    Brain PI(4,5)P2 2 Brain SM 9 Brain SM 30
        Cholesterol 30 Cholesterol 25
        Liver PE 25 GM1 1
LUV Brain PI(4,5)P2 0 or 1.5     Brain PI(4,5)P2 0 Brain PI(4,5)P2 5
TF-PIP2 2 or 0.5     TF-PIP2 2 TF-PIP2 2
SLB Brain PI(4,5)P2 1 Brain SM or Chol. 1 Brain PI(4,5)P2 1 Brain PI(4,5)P2 6
TF-PIP2 1 TF-SM or TF-Chol 1 TF-PIP2 1 TF-PIP2 1
GUV Brain PI(4,5)P2 1     Brain PI(4,5)P2 1 Brain PI(4,5)P2 6
TF-PIP2 1     TF-PIP2 1 TF-PIP2 1
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#Adapted from ref. 28.

#Adapted from ref. 16.

We therefore monitored, at the nanoscale level, a possible PIP2, cholesterol (Chol) and sphingomyelin (SPM) reorganization during Gag self-assembly. Unfortunately, direct imaging of lipid nanodomains generation is not an easy task. Even the presence of pre-existing lipid nanodomains has indirectly been revealed by monitoring lipid diffusion19,20,21,22,23. Although accurate in detecting and measuring the size of pre-existing nanodomains, direct imaging is not fast enough to follow the generation of nanodomains. Therefore, we decided to use indirect approaches such as fluorescence quenching24,25 or Forster Resonant Energy Transfer (FRET)26. FRET or self-quenching occurs when two (similar or different) fluorescent molecules are found together within a 3 to 10 nm radius.

Starting from a simple lipid mixture and using self-quenching experiments of respectively PIP2, Chol and SPM, we monitored the generation of Gag induced lipid nanodomains. We then performed the same type of experiments with dual labelling of the lipids (Chol and PIP2, or SPM and PIP2) followed up by FRET experiments to analyse how Gag was differently sorting these lipids during its self-assembly. We finally extended this study to more complex lipid compositions mimicking either lipid “rafts” or inner leaflet of the PM.

Our results show that Gag self-assembly is able to generate PIP2 nanodomains on model membranes with any of the composition we tested here. Importantly, these nanodomains contain Chol but not SPM.

Results

Since PIP2, Chol and SPM have been shown to be enriched in the virus envelope7, the impact of Gag self-assembly on their lateral distribution was tested in different types of model membranes (Fig. 1A) exhibiting different lipid compositions. Large unilamellar vesicles (LUVs) were firstly used in order to easily control the protein over lipid molecular ratio. Given that the plasma membrane of HIV producing cells (~10 μm in diameter) has reduced level of curvature compared to these LUVs (100 nm in diameter), we have also used supported lipid bilayers (SLBs) as membrane models for analyses. Gag is known to bind specifically PIP227. We then started with a simple PIP2 containing lipid mixture (PC/PS/PIP2 hereafter called “basic”) in which we introduced Chol or SPM (hereafter called “substituted basic”). Obviously, cellular PM have more complex lipid compositions. We therefore decided to extend our study to compositions mimicking either the inner leaflet cellular plasma membrane28 (hereafter called “inner leaflet”) or the “lipid rafts” domains (i.e. two separated phases, a liquid disordered (Ld) and a liquid ordered (Lo) enriched in cholesterol and sphingomyelin, hereafter called “rafts-mimicking”16). Table 1 gives the exact compositions of the lipid mixtures used in this study. To assess a potential reorganisation of these lipids during Gag self-assembly, we used full-length Gag (FL-Gag) and different mutants. Theses mutants include: (1) a mutant of CA involved in CA-CA interaction and Gag self-assembly (WM)29 (2) Gag lacking the C-terminus NC-sp2-p6 domains that is involved in NC-RNA association (P39). The membrane binding domain alone of Gag (MA) was also tested (see Fig. 1B). Finally, a cellular PM PIP2 binding protein, the PH domain of EFA6 (PH-EFA6)30 and a peptide, MARCKS (151–175) that is known to laterally redistribute PIP224 were used as controls.

Figure 1. Scheme of the different lipid membranes and proteins used in this study.

Figure 1

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(A) Representation of the model lipid membranes and of an elongated FL-Gag protein used in this study (see Table 1 and SI Table S1 for all the different lipid compositions used in this study). (B) Schematic representation of the different Gag mutants used in this study, emphasizing the mutations and the differences in the domains present for each mutant.

HIV-1 Gag efficiently binds model membranes containing PIP2

The ability of the different proteins and peptide to bind LUVs and SLBs was analysed using membranes of “basic” composition. For this purpose, we monitored protein binding with two different techniques. On one hand, we performed LUV cosedimentation assays at fixed protein concentration (1 μM) and increasing PIP2 concentrations. After 15 min of incubation, LUV bound proteins were separated from unbound proteins by ultra-centrifugation. The pellet (P) and the supeRNAtant (S) were deposited on a denaturating gel to quantify the amount of bound (P) and unbound (S) proteins (Fig. 2A). On the other hand, we used Quartz Crystal Microbalance (QCM) to monitor the association of proteins to SLBs containing a fixed PIP2 concentration. SLBs were formed onto the quartz crystal. Proteins were then injected at increasing concentrations (from 10−2 to 10 μM) and the change in the resonance frequency of the quartz crystal was monitored (Fig. 2B). This change in frequency is directly connected to the mass increase at the surface of the quartz crystal.

Figure 2. Binding of FL-Gag, its mutants and PH-EFA6 to “basic” lipid membranes.

Figure 2

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(A) Typical SDS-PAGE obtained after co-sedimentation assay for FL-Gag with increasing concentrations of LUV containing 2% mol PIP2 (P:Pellet, S:SupeRNAtant). (B) Typical change in resonance frequency observed during QCM-D experiments after addition of the different proteins at different concentrations on a basic composition SLB. (C and D) Binding isotherm curve obtained from co-sedimentation assays ((C), n = 3) and QCM-D experiments ((D), n = 2) for the different proteins used in this study. Experimental values were fitted using equation 1. Kp obtained from these binding isotherms are summarized in Table 2.

The ratio of membrane bound to unbound protein is linked to an apparent partition coefficients (Kp). Kp were determined by fitting, with eq. 1, the plots of membrane bound protein with either increasing concentrations of lipids (Fig. 2C) or increasing concentration of protein (Fig. 2D). Except for MA, Kp obtained for other proteins were less than 1 μM. The results, summarized in Table 2, are in good agreement with the previously obtained Kp values for some of the different proteins used in this study. Interestingly, the Kp values of MARCKS and PH-EFA6 (0.7 < Kp < 0.8 μM) were found to be in the range of the one obtained for Gag (FL) and its mutants (0.2 < Kp < 0.8 μM). This shows that the ratio of membrane bound over total protein will be equivalent for all these proteins, allowing, therefore, direct comparisons of their respective role on the lateral sorting of PIP2 after membrane binding.

Table 2. Apparent K p of the different proteins used in this study.

Protein Kp(μM) Kp(μM) Kp(μM) Lip. Comp (mol %) Ref.
LUV SLB
FL 0.13 ± 0.05 0.40 ± 0.11 0.88 ± 0.20 (LUV) POPS (100) 55
P39 0.66 ± 0.44 0.47 ± 0.26      
WM 0.56 ± 0.26 0.26 ± 0.13      
MA 1.72 ± 1.05   2.46 ± 1 (LUV) POPS (100) 55
  7.16 ± 3.33 8.2 ± 0.7(SLB) DOPC:DOPS:PI(4,5)P2(80:15:5) 39
PH-EFA6 0.88 ± 0.27 0.68 ± 0.03 0.5 (SLB) PC:PE:PS:PI(4,5)P2 30
(34:34:30:2)
MARCKS n.d.# 0.65 ± 0.23 4.4 ± 1 (LUV) PC:PI(4,5)P2 56
(99:1)
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#Could not be determined by this method.

FL-Gag is mainly partitioning to L d phases and does not induce micrometer phase separation

We firstly monitored the possible existence of Gag induced micrometer-range PIP2 domains by imaging the surface distribution of a fluorescently labelled PIP2 (namely Top-Fluor PIP2 or TF-PIP2) and a fluorescently labeled FL-Gag (FL-Gag Alexa 549 or A549-FL-Gag) in “basic” GUVs. As expected, both TF-PIP2 and A549-FL-Gag showed a uniform distribution over the surface of the GUV (Fig. 3A). The same uniform distribution was also observed with “inner leaflet” GUVs (Fig. 3A). Spatial auto-correlation of the fluorescence of either PIP2 or FL-Gag (Fig. 3B) both exhibited fast decorrelation showing that the fluorescent labelling of PIP2 is not inducing micrometer partitioning per se and that, if they exist, the PIP2 clusters are less than 200 nm size (i.e. below the diffraction limit). Interestingly, labelled FL-Gag was essentially restricted to Ld phases in the “rafts-mimicking” GUVs (Fig. 3C and D), confirming what was already observed by Keller et al.16 with a multimerized derivative of MA. This strongly suggested that FL-Gag preferentially binds and remains in non “rafts”/Lo lipid phases.

Figure 3. Fluorescence distribution of TF-PIP2 and A594-FL-Gag on “Basic”, “Inner Leaflet” and “rafts-mimicking” GUVs.

Figure 3

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(A) Left, localization of TF-PIP2 (green) and A594-FL-Gag (red) in a “Basic” composition GUV. Right, localization of TF-PIP2 (green) and A594-FL-Gag (red) in an “Inner Leaflet” composition GUV, (scale bar 5 μm). (B) Spatial autocorrelation of the fluorescence intensities of TF-PIP2 (in green) and A594-FL-Gag(in red) for the “Basic” composition calculated using eq. 2, (mean ± s.d., n = 4). (C) Localization in “Raft” GUVs (F) of TF-PIP2 (green), A594-FL-Gag (red) and GM1, a raft partitioning ganglioside, labeled with alexa 647 cholera toxin B (A647 Ctx-B)(blue), (scale bar 5 μm). (D) Partitioning in Lo and Ld phase of “raft” GUVs for A-594 FL, TF-PIP2 and A647-CtxB (mean ± s.d., n = 25) as determined using eq. 3.

HIV-1 Gag self-assembly induces PIP2 nanoclustering

The lack of micrometer scale PIP2 induced domains lead us to monitor, using self-quenching experiments, a possible PIP2 lateral redistribution upon Gag self-assemby on LUVs or SLBs. As stated in the introduction, self-quenching occurs when two fluorescent molecules are close to each other (3 < r < 10 nm). To perform these experiments, we first controlled that increasing concentrations of MARCKS induced an increasing quenching of the TF-PIP2 as it was reported before with Bodipy TMR-PIP2 (BT-PIP2)24 (See SI Fig. S1). We then monitored the change in TF-PIP2 fluorescence after addition of Gag or its mutants on “basic” LUVs in order to correctly control the protein to accessible PIP2 ratio (Inline graphic). We observed an increase in TF-PIP2 fluorescence (Fig. 4A) opposite to MARCKS. From Fig. 4B it was evidenced that addition of increasing concentrations of FL-Gag, P39 and WM induced an increasing fluorescence unquenching of TF-PIP2. On the other hand, adding increasing concentrations of MA did not generate any change in the fluorescence of TF-PIP2. Identically, PH-EFA6, known to specifically bind PIP2 without reorganizing its lateral distribution, did not produce any effect either (Fig. 4A and B). A major difference between the Gag matured protein MA and the precursor proteins (FL-Gag, P39 and WM) is their capacity to form large oligomer complexes via the CA-CA interactions31, although WM is less efficient (two orders of magnitudes in solution) in supporting the formation of large Gag lattice, due to its inability to dimerize with nearby CA hexamer29. Interestingly, this fluorescence unquenching was always less efficient in the case of WM compared to FL-Gag (from 3 to 5 times), indicating that this fluorescence variation depended on the capacity of Gag to multimerize. To support this hypothesis, FL-Gag and WM were incubated with “basic” LUVs for 15 minutes followed by ultracentrifugation. The self-assembly states of WM and FL-Gag bound to LUVs were analysed by performing a non denaturating gel electrophoresis to preserve existing multimers, followed by immunoblot. Figure 4C showed that, in the two Inline graphic ratio tested, WM was at least two times less efficient than FL-Gag in multimerizing on membranes (Fig. 4B). This ratio was in the range of the relative efficiency of TF-PIP2 unquenching observed between FL-Gag and WM. This confirmed the role of Gag self-assembly in the observed TF-PIP2 fluorescence changes. Although LUVs provide a simple, reliable and easy to control (in terms of protein to lipid ratios) model membranes, Gag self-assembly usually occurs on membranes with higher radius of curvature. Therefore, time course fluorescence self-quenching of TF-PIP2 were also conducted on “basic” SLBs. For FL-Gag and P39 the TF-PIP2 fluorescence intensity of SLBs decreased (Fig. 4D). This change in intensity was opposite to the one observed with LUVs (Fig. 4A) while still being a function of the protein concentration (Fig. 4E for FL-Gag). As it was the case for LUVs, the TF-PIP2 quenching induced by addition of the WM mutant was less efficient than in the case of FL-Gag. PH-EFA6 and MA did not induced changes in TF-PIP2 fluorescence (Fig. 4D). Interestingly, Fig. 4D shows that MARCKS addition induced the same TF-PIP2 quenching on SLBs and LUVs (see Fig. 4A). This suggest that model membrane curvature (curved LUV vs flat SLBs) is responsible for the opposite quenching observed with Gag and its mutants on SLBs and LUVs (see SI Fig. S2 for detailed explanation). Altogether these results show that the self-assembly of HIV-1 Gag is generating TF-PIP2 clusters.

Figure 4. PIP2 nanoclustering induced by Gag self-assembly on basic composition lipid membranes.

Figure 4

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(A) Typical time course of TF-PIP2 fluorescence on LUVs after addition of the different proteins or peptide at a Inline graphic = 10. (B) Relative quenching values observed for FL-Gag, its mutant, MA and PH-EFA6 on LUVs (mean ± s.d. values of n ≥ 3 for each Inline graphic conditions, except P39 (2 ≤ n ≤ 3)). (C) Differences in WM and FL-Gag self-assembly efficiency on LUV at two different Inline graphic ratio. Bar graph represents the mean signal observed for monomers dimers and trimers & multimers obtained from independent experiments (mean ± s.d., n = 3). (D) Typical time course of TF-PIP2 fluorescence on SLBs after addition of 1 μM of the different proteins or peptide. (E) Fluorescence time course of TF-PIP2 after addition of increasing FL-Gag concentrations. (F) Schematic representation of the effect of an immobile fraction on the fractional recovery. Upper part, without Gag, fractional recovery = 1. Lower part, with Gag, self assembled Gag trapped PIP2 are still in the bleached area leading to a normalized fractional recovery < 1. (G) Plot box of the fractional recoveries obtained from FRAP measurements before and after addition of increasing concentrations of FL-Gag on SLB containing either DiIC18 as a lipid analogue control (left) or TF-PIP2 (right). (Boxes are 25,75% with bars max and min values of n ≥ 15, ***p ≤ 10−3 for Student t-test at 0.01 confidence level).

Diffusion of Gag is expected to slow down upon self-assembly. Hendrix et al.4 already observed that Gag multimers exhibited a diffusion coefficient(D) of 0.01 μm2.s−1 at maximum. If PIP2s are tightly trapped in Gag multimers they will diffuse with similar coefficient as that of these Gag multimers. Consequently, the fluorescence of a 1 μm radius area containing these multimers and labelled PIP2, should not totally return to its initial level 15s after photobleaching (Fig. 4F). This will lead the normalized fluorescence recovery value (NFR, defined in eq. 4, 0 < NFR < 1) to be less than 1. We monitored this change in normalized fluorescence recovery in the absence or presence of FL-Gag. For that purpose, in the time course of quenching experiments, we performed Fluorescence Recovery After Photobleaching (FRAP) experiments before (start of the quenching experiment) and after (end of the quenching experiment) addition of FL-Gag on SLBs. In the absence of FL-Gag, normalized fluorescence recovered to 1, as expected for freely diffusing lipids (Fig. 4G, right). On the opposite, addition of increasing FL-Gag concentrations induced a decrease in PIP2 normalized fluorescence recovery as well as an increase in fluorescence quenching (previously shown in Fig. 4E). We controlled that the decrease in normalized fluorescence recovery was specific of PIP2. Indeed, we did not observe any change in the normalized fluorescence recovery of a lipid analogue fluorescent dye (diIC18, see materials in SI) in the presence or in the absence of Gag (Fig. 4G, left).

Our data clearly show that HIV-1 Gag is sorting PIP2 in the lipid membrane and that Gag self-assembly generates PIP2 nanoclusters in model membranes.

Cholesterol but not sphingomyelin is sensitive to HIV-1 Gag self-assembly

Since Chol and SPM are supposed to be the main lipid components of “raft” domains, their enrichment into the Gag self-assembly induced PIP2 nanoclusters was also assessed. 2% mol of egg phosphatidyl choline (EPC) present in our “basic” lipid composition, were substituted either by SPM or by Chol with half of them being labelled with TF derivatives (see Table 1 for detailed composition). This substitution allowed the net surface charge and the PIP2 content to be maintained, limiting any drastic change in the partitioning constant Kp. Time course fluorescence change of either TF-SPM or TF-Chol were then monitored after FL-Gag addition. Figure 5A shows that FL-Gag addition had no effect on TF-SPM fluorescence whereas Fig. 5B shows that increasing concentrations of FL-Gag induced increasing quenching of TF-Chol, as it was the case for TF-PIP2 (Fig. 4E). This shows that FL-Gag self- assembly is able to generate Chol-enriched lipid nanodomains whereas it is not changing the SPM lateral distribution. Co-clustering of these molecules was also assessed by simultaneously monitoring the change in fluorescence upon addition of FL-Gag with either TF-SPM and BT-PIP2 (Fig. 5C) or TF-Chol and BT-PIP2 (Fig. 5D) labelled SLBs (see SI Table 1 for exact dual labelled lipid membranes compositions). TF-Chol and BT-PIP2 exhibited simultaneous quenching after addition of various concentration of FL-Gag, suggesting that TF-Chol and BT-PIP2 are co-clustered in Gag self-assembly induced nanodomains. In contrast, while BT-PIP2 was quenched as previously, TF-SPM exhibited a surprising apparent fluorescence unquenching after Gag addition. This was an unexpected result regarding the TF-SPM quenching induced by FL-Gag self-assembly in the presence of unlabelled PIP2 (Fig. 5A). Since this apparent unquenching of TF-SPM upon addition of FL-Gag only occurred when BT-PIP2 was present (see Fig. 5A vs Fig. 5C), we checked if TF-SPM (as a donor) and BT-PIP2 (as an acceptor) were able to exhibit FRET. Donor FRET efficiency has been shown to be a function of acceptor concentration in a lipid bilayer32. This means that the FRET efficiency will decrease if acceptor (BT-PIP2) local concentration decreases and that, as a consequence, the fluorescence of the donor (TF-SPM) will increase. We tested this by performing acceptor photobleaching experiments in order to decrease the acceptor concentration, locally and reversibly. We observed that, in the area where the acceptor (BT-PIP2) was bleached, the fluorescence of the donor (TF-SPM) increased. This effect was abolished when concentrations were re-equilibrated by diffusion (see SI Fig. 3). In our TF-SPM/BT-PIP2 co-clustering assay, we observed a decrease in BT-PIP2 due to Gag self-assembly induced quenching and concomitantly, a non reversible TF-SPM fluorescence increase due to loss in FRET efficiency induced by decreasing concentration of acceptor (TF-PIP2). This can only be explained by considering that Gag self-assembly clusters BT-PIP2 without TF-SPM.

Figure 5. Gag self-assembly is sorting cholesterol but not sphingomyelin.

Figure 5

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(A and B) Typical fluorescence time course after addition of increasing FL-Gag concentrations on subsituted basic SLBs labeled with TF-SPM (A) or TF-Chol (B). (C and D) Simultaneous fluorescence time course after addition of increasing concentrations of FL-Gag on substituted basic SLBs labelled with TF-SPM (in green) and BT-PIP2 (in red) (C) or TF-Chol (in green) and BT-PIP2 (in red) (D).

Altogether, these results show that HIV-1 Gag self-assembly is generating common PIP2 and cholesterol nanodomains while excluding sphingomyelin.

HIV-1 Gag is driving PIP2 and cholesterol nanoclustering independently of surrounding lipids

Because cellular PMs are complex lipid mixtures, we examined a possible role of this complexity on the lateral sorting of PIP2, Chol and SPM during HIV-1 Gag self-assembly. For that purpose, we used the two other different lipid mixture mimicking either the inner leaflet of cells PM (“inner-leaflet”) or the “rafts” lipid mixture (“raft-mimicking”) (see Table 1 and SI Table 1 for detailed lipid composition). We first compared the effect of FL-Gag self-assembly on PIP2 clustering for these three lipid compositions. No characteristic change in TF-PIP2 fluorescence unquenching with increasing concentrations of FL-Gag (LUVs, Fig. 6A) or fluorescence quenching (SLBs, Fig. 6B) could be clearly detected amongst the three different lipid compositions. We then tested again Chol and SPM ability to partition into these FL-Gag induced PIP2 nanoclusters in the complex lipid mixtures. Figure 6C (TF-SPM/BT-PIP2) and 6D (TF-Chol/BT-PIP2) exhibited the same tendency for the fluorescence time courses of labelled lipid upon FL-Gag addition on SLBs, independently of the lipid composition.

Figure 6. Gag PIP2 and Chol nanoclustering in complex membrane models.

Figure 6

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(A and B) TF-PIP2 fluorescence changes in lipid membranes of different composition (basic, Inner Leaflet, Raft) using LUVs (A) relative quenching of at different Inline graphic ratio. mean ± s.d., n ≥ 3) or SLBs (B) typical time course of TF-PIP2 fluorescence after addition of 1 μM FL-Gag.) (C) Simultaneous fluorescence time course obtained on “inner leaflet” SLBs for BT-PIP2 (in red) and in green TF-SPM (left panel) or TF-Chol (right panel). (D) Simultaneous fluorescence time course obtained on “raft” SLBs for BT-PIP2 (in red) and in green TF-SPM (left panel) or TF-Chol (right panel).

These results show that, as in the “basic” composition, in complex lipid mixtures the PIP2 nanoclusters induced by Gag self assembly are enriched in Chol but not in SPM. This clearly suggest that Gag is sorting these lipids during self-assembly independently of the surrounding lipids chemical nature and acts as the driving force for lipid reorganization during HIV-1 assembly.

Discussion

Although the MA domain is primary responsible for HIV-1 Gag binding to the PM, the ten times higher apparent affinity for membrane models observed here in the case of FL-Gag, P39 and WM confirms that the NC domains and CA-CA self-assembly of Gag are involved in membrane binding efficiency. Indeed, the NC domain of Gag alone has recently been described to bind to PIP2 containing lipid membranes with an apparent Kp as high as 7 μM33. It has also already been shown that the driving force for membrane association stems largely from ionic interactions between multimerized Gag and negatively charged phospholipids34.

Using micrometer scale phase separated GUVs, we have observed that Gag was mainly partitioning in Ld phases, i.e., more likely outside of lipid “rafts” (namely Chol and SPM enriched) domains. The lack of myristate in the different Gag variants tested here could explain the Gag Ld phase localization35. Nevertheless, our results are consistent with the Ld phase GUV localization of multimerizable myr(+)MA protein observed by Keller et al.16.

However, it is known that cholesterol is crucial for virus infectivity36,37 and that Gag can sense cholesterol38,39. It was recently described that PIP2 could form clusters in the presence of cholesterol alone40. Here we show that PIP2 and cholesterol are laterally redistributed upon Gag self-assembly on membranes and participate to the formation of cholesterol/PIP2/Gag enriched nanodomains. Importantly, we also show that sphingomyelin is not sorted during HIV-1 Gag self-assembly and is excluded from the Gag/PIP2/Chol nanoclusters. Taken together, these results suggest that binding and self-assembly of Gag protein does not occur in pre-existing lipid domains (such as “rafts”) but that this self-assembly is more likely to induce lipid nanodomains.

It is known that plasma membrane lipid organization is not only driven by lipid-lipid interactions. For example, cytoplasmic proteins such as ezrin41,42, syntaxin-143 have also been described to induce or interact with PIP2 nanoclusters. As a general mechanism, proteins with basic interfaces can recruit acidic lipids that, in turn, can facilitate recruitment and clustering of these proteins into nanodomains44,45. A similar cooperative mechanism could also happen when HIV-1 Gag binds to PIP2 during viral assembly at the plasma membrane. Interestingly, mesoscale organized structures such as cortical actin network has also been shown to play an important role in the lateral organization of not only transmembrane proteins, but inner leaflet plasma membrane lipids such as PIP246 and more interestingly outer leaflet components such as GPi-anchored proteins47. Moreover, this cortical actin network has also been shown to play a role in HIV-1 Gag assembly at the PM of Jurkat T-cells48.

Since HIV-1 Gag has been often found in DRMs8, pre-existing outer leaflet “rafts” could be trapped by these nascent PI(4,5)P2-Gag nanodomains through transbilayer coupling - as we already proposed18 or as it has been recently shown for lipid domains49 and for outer leaflet GPi anchored proteins50. Moreover, a recent study of the SPM dynamic in the cellular PM revealed that instead of clearly partitioning into nanodomains, SPM was mainly transiently trapped51. In the case of the ganglioside GM1, another lipid described as partitioning into Lo phases, its transient trapping was shown to depend on molecular pinning and interleaflet coupling between lipid tail domains52. This suggest that Gag could not only generates his own lipid nano-domains at the inner leaflet of the cellular PM but also induce the formation of domains in the outer leaflet of the cellular PM by transiently trapping SPM or other components.

Finally, we also observed that the matrix domain of Gag is not able to induce this PIP2 clustering, suggesting that, after maturation and particle release, the inner leaflet lipids of the virus envelope might be free to diffuse again.

Conclusion

We have shown using simple and cell mimicking lipid composition model membranes that Gag self-assembly is inducing nano-clusters enriched in PIP2 and cholesterol, instead of partitioning to pre-existing ones. This lipid nano-clustering does not require sphingomyelin and mainly occurs out of the Lo phases in GUVs. Further, the different lipid composition tested here does not strikingly affect the capacity of Gag to induce these lipid nano-clusters suggesting that Gag is able to sort its own lipids independently of the surrounding lipids.

Methods

All experiments were performed at room temperature (RT). Experimental buffer was Hepes 10 mM, pH = 7.4, KCl 150 mM, EDTA 2 mM except for QCM-D binding experiments. All images were acquired with a Zeiss LSM 780 microscope (Carl Zeiss, Inc.) using a 63x NA 1.4 oil objective and quantified using Image J software (NIH, MD, USA). Detailed materials, methods for model membranes (LUV, GUV, SLB) preparation and for protein purification are in SI.

Binding experiments

Kp were determined on basic lipid composition (EPC 68%, BPS 30% & PI(4,5)P2 2% for LUVs or POPC 68%, POPS 30% & PI(4,5)P2 2% for SLBs). Methods used were either cosedimentation assays for LUVs or QCM-D experiments on SLBs. Co-sedimentation assays were made at 1 μM protein concentration with varying concentrations of total accessible lipids from 0.07 to 2250 μM in 100 μl of the same buffer that the one used in quenching experiments, according to the protocol in ref. 53. After 15 min of incubation at room temperature, samples were centrifuged at 220,000 g for 1 h at 4 °C using a Beckman Coulter’s TLA 100 rotor. The top 80 μl was considered as supeRNAtant (S) and the remaining 20 μl diluted with 60 μl of working buffer as pellet (P). Pellet and supeRNAtant were analyzed on a 10% SDS-PAGE and stained using coomassie blue. Quantifications were made using Image J software (National Institutes of Health, MD, USA). SLBs were prepared with 0.1 mg.mL−1 liposomes flowing at 10 μL.min−1 for 10–20 min on a UV-treated SiO2 surface of Q-sensor fixed in a Q-Sense Flow module, QFM 401 Biolin Scientific, Sweden). Stable SLBs were rinsed with citrate buffer (NaCitrate 10 mM, 100 mM NaCl, and 0.5 mM EGTA, pH 4.6) and then with injection buffer (5 mM Tris & 100 mM NaCl pH 7.4). At equilibrium, 200 μL of increasing protein concentration was successively injected into the flow chamber followed by rinsing steps in between. The same was repeated with increasing protein concentrations until saturation. Sensorgrams were normalized to third harmonic in the case of varying harmonic curves. ΔF (plateau values) were used to measure the lipid SLB surface fraction of protein bound. The fraction of protein bound is related to an apparent association constant K (i.e, the reciprocal of the apparent partitioning constant, Kp) following the equation:

graphic file with name srep39332-m3.jpg

where the percentage of protein bound is [PL] = IPellet/(IP + IS) in the case of the co-sedimentation experiments (IP & IS experimental intensities of pellet and supeRNAtant and IPellet = IP − 0.2.IS, for dilution compensation). In the case of QCM-d experiments, apparent Kp values were obtained using Eq. 1 formulated as a function of [P] instead of [L].

Image analysis of GUVs

GUVs were deposited on coverslips coated with casein (2 mg.mL−1) fitted in an Attofluor cell chamber (Thermo Fisher Scientific, Inc.). Labeled FL-Gag was added to the buffer. Spectral images were acquired at constant excitation intensity at 488 nm, 561 nm and 633 nm using an emission spectral range between 499 and 690 nm with a 8 nm resolution. Linear unmixing of these images was done to avoid potential bleed-through due to fluorophore emission overlapping. To establish the spatial auto-correlation of the fluorescence intensity of TF-PIP2 or A594-FL-Gag on basic composition GUVs, the change in intensity was plotted along the GUV using the following integration:

graphic file with name srep39332-m4.jpg

Intensity was plotted with r. sin θ as the length unit. The obtained curves were autocorrelated using either the autocorr or the xcorr function of Matlab R2015 (Mathworks®).

Intensity partition of each label in the case of raft GUVs was determined using the following equations:

graphic file with name srep39332-m5.jpg

θi and θo were determined with the help of Alexa647-CtxB intensity circular profile.

Fluorescence quenching measurements

For LUV experiments, fluorescence was monitored using a spectrometer (Photon Technologies InteRNAtional, Inc.) with λexc = 485 ± 2 nm and λem = 520 ± 10 nm. Excitation lamp intensity was calibrated using the Raman spectrum of pure water and its fluctuations corrected every second. For every interaction assay on LUVs, the obtained intensity curve was corrected for both bleaching and dilution effect and then normalized to the mean intensity before injection. In the case of SLBs, fluorescence was monitored by acquiring images using the Zeiss definite focus system to avoid any z-drift with a 2-photons excitation (930 nm) every 5 s (in order to strongly reduce photobleaching). TF-lipids fluorescence was acquired at 520 ± 30 nm and BT-PIP2 at 600 ± 40. Mean intensity of each image was normalized to the intensity before injection.

Self-assembly assay on LUVs

100 μL of the basic LUVs was incubated at room temperature for 15 min with either 0.9 μM or 4.5 μM of FL-Gag or WM. After centrifugation at 10,000 g for 5 min at 4 C, 20 μL of the supeRNAtant was loaded on a 10% native-PAGE and proceed for immunoblot as in ref. 53. FL-Gag and WM were detected by a primary anti-capsid antibody (HIV-1 p24 NIH AIDS Reagents) followed by secondary antibody goat anti-mouse HRP conjugated. Membrane was revealed by Femto substrate (Thermo-scientific) and imaged by a G:Box (Syngene).

Fluorescence Recovery After Photobleaching

The image sequence was acquired at 20 Hz using the 488 nm line of an Ar+ laser at a very low power to avoid photobleaching. After 2.5 s, 3 regions of interests (ROI), of 1 μm radius each, were rapidly photobleached (t < 60 ms) at maximal laser power. Fluorescence recovery was monitored for 15 s. The recovery curves were obtained as in ref. 54. In order to correctly estimate F0 (the fluorescence intensity immediately after the end of the bleach) and F15s, the curves were fitted as in ref. 54. The normalized fractional recovery (NFR), is defined as:

graphic file with name srep39332-m6.jpg

Additional Information

How to cite this article: Yandrapalli, N. et al. Self assembly of HIV-1 Gag protein on lipid membranes generates PI(4,5)P2/Cholesterol nanoclusters. Sci. Rep. 6, 39332; doi: 10.1038/srep39332 (2016).

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Supplementary Material

Supplementary Information
srep39332-s1.pdf (3.1MB, pdf)

Acknowledgments

We are thankful to Dr. Olivier Coux for his help with protein purification and Dr. Michel Franco for the gift of PH-EFA6 plasmid. We thank the Montpellier RIO Imaging (MRI) microscopy facilities. This work has been funded by ANR (ANR-13-BSV5-0006-01). C.P. acknowledges the European Commission (FP7) for a grant from the European Research Council (GA259370). N.Y. is a recipient of the European Community Erasmus Mundus PhD fellowship. C.F. and D.M. are part of the CNRS GDR MIV consortium.

Footnotes

Author Contributions D.M. and C.F. developed the concept of the study. N.Y., Q.L., H.T., C.F. conducted the experiments. N.Y., Q.L. and D.M. and C.F. conducted data interpretation. C.F., N.Y. and D.M. drafted the manuscript. J.M., C.P. contributed to data interpretation and manuscript drafting.

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