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First published online February 20, 2008; 10.1104/pp.107.115170 Plant Physiology 146:1571-1578 (2008) © 2008 American Society of Plant Biologists Protein Diffusion and Macromolecular Crowding in Thylakoid Membranes1,[W]Institute of Botany, 48149 Munster, Germany (H.K., S.H.); School of Biological and Chemical Sciences, Queen Mary University of London, London E1 4NS, United Kingdom (J.F.A., C.W.M.); and Mathematics Institute, University of Warwick, Coventry CV4 7AL, United Kingdom (D.B.A.E.)
The photosynthetic light reactions of green plants are mediated by chlorophyll-binding protein complexes located in the thylakoid membranes within the chloroplasts. Thylakoid membranes have a complex structure, with lateral segregation of protein complexes into distinct membrane regions known as the grana and the stroma lamellae. It has long been clear that some protein complexes can diffuse between the grana and the stroma lamellae, and that this movement is important for processes including membrane biogenesis, regulation of light harvesting, and turnover and repair of the photosynthetic complexes. In the grana membranes, diffusion may be problematic because the protein complexes are very densely packed (approximately 75% area occupation) and semicrystalline protein arrays are often observed. To date, direct measurements of protein diffusion in green plant thylakoids have been lacking. We have developed a form of fluorescence recovery after photobleaching that allows direct measurement of the diffusion of chlorophyll-protein complexes in isolated grana membranes from Spinacia oleracea. We show that about 75% of fluorophores are immobile within our measuring period of a few minutes. We suggest that this immobility is due to a protein network covering a whole grana disc. However, the remaining fraction is surprisingly mobile (diffusion coefficient 4.6 ± 0.4 x 10–11 cm2 s–1), which suggests that it is associated with mobile proteins that exchange between the grana and stroma lamellae within a few seconds. Manipulation of the protein-lipid ratio and the ionic strength of the buffer reveals the roles of macromolecular crowding and protein-protein interactions in restricting the mobility of grana proteins.
Thylakoid membranes of higher plants have an intricate structure and are laterally segregated into distinct regions known as the grana and the stroma lamellae (for review, see Dekker and Boekema, 2005
Thylakoid membranes in vivo are not static, solid-state structures. There is abundant indirect evidence for protein mobility within the thylakoid membrane system, mostly from biochemical studies in which thylakoids are fractionated into grana and stroma lamellae. This is followed by analysis of the compositions of the fractions under different conditions. For example, phosphorylation of LHCII leads to net migration of LHCII from the grana to the stroma lamellae (Drepper et al., 1993
Grana thylakoids are among the most crowded membranes in nature: 70% to 80% of the membrane area is occupied by proteins (Kirchhoff et al., 2002
Preparation of Spinach Grana Membranes
Grana membranes were prepared from spinach, by a procedure based on that of Berthold, Babcock, and Yocum (BBY), in which grana are isolated by a mild detergent treatment that preferentially solubilizes the more exposed stroma lamellae (Schiller and Dau, 2000
Previous FRAP measurements exploited the relatively simple and uniform configuration of cyanobacterial thylakoid membranes, using elongated cyanobacterial cells whose cell length is much greater than the width of the bleach produced by scanning the laser spot (Mullineaux et al., 1997
To solve the problem outlined in 1 above we developed a method for immobilizing grana membrane patches by adsorbing them onto an artificial phosphatidylcholine (PC) bilayer. Glass microscope slides were coated with the artificial bilayer, which could be visualized as it was stained with the green lipophilic fluorophore 4,4-difluoro-5,7-dimethyl-4-bora-3a,4a-diaza-s-indacene-3-dodecanoicacid (BODIPY FL C-12; Haugland, 2005
Fortuitously, we found that the glass-PC system also solves the problem outlined in 2 above. During adhesion to the PC bilayer support, grana membranes tend to move laterally, collide, and fuse into much larger membrane patches (Fig. 1). For FRAP measurements we were able to select membrane patches 1 to 4 µm in diameter. In patches of this size it is straightforward to bleach fluorescence in part of the sample only, allowing subsequent diffusion of fluorophores to be visualized. As discussed in 3 above, we found that chlorophyll fluorescence of isolated grana thylakoids in untreated buffer decreased rather rapidly during continuous imaging, with a half-time of a few minutes (not shown). We found that this problem could be solved by reducing the oxygen content of the buffer with Glc, Glc oxidase, and catalase. Under these conditions chlorophyll fluorescence was stable for more than 1 h during exposure to the laser intensity used for imaging. However, chlorophyll fluorescence could still be rapidly bleached by increasing the laser intensity, making FRAP measurements straightforward. In summary, the conditions used for FRAP analysis ensure a fluid support for the grana membranes, a stable fluorescence intensity, and a size of the samples that is large enough for FRAP measurements.
Figure 2 shows chlorophyll fluorescence redistribution after bleaching a line across a grana membrane patch. The appearance of the unbleached patch is shown in the top left picture (prebleach). For each image we extracted a one-dimensional fluorescence profile, defined as the sum of intensities over the x axis. This is shown to the right of each image. It is obvious that fluorescence recovery is incomplete on the timescale of the measurement because the bleach line remains visible in all pictures (Fig. 2). However, there is some redistribution of fluorescence, with partial recovery of fluorescence at the center of the bleach (kinetics shown at the bottom of Fig. 2). From analysis of the recovery kinetics we estimate that about 80% of the chromophores are immobile, at least within the measurement time of 9 min, and the diffusion coefficient of the remaining mobile fraction is about 7 x 10–11 cm2 s–1. Measurements on 36 patches gave a mean immobile fraction of 73% ± 3% (SE) and a mean diffusion coefficient for the mobile fraction of 4.6 ± 0.4 x 10–11 cm2 s–1. From the variance of the five last data points in the recovery kinetics (recorded at 60-s intervals as in Fig. 2) we can be confident that the diffusion coefficient of the immobile fraction is below 10–12 cm2 s–1.
Diffusion of Photosynthetic Complexes in Grana Patches with Lower Protein Density Figure 3 shows an example of a FRAP series for a grana patch fused with liposomes at a lipid:chlorophyll ratio of 10:1. In contrast to BBY membranes at native protein density (Fig. 2) the redistribution of chlorophyll fluorescence is almost complete and much faster, as indicated by the quick recovery of the bleached line. From analysis of the time series (Fig. 3, bottom) we estimate a diffusion coefficient of about 2.3 x 10–10 cm2 s–1 for the mobile fraction, and an immobile fraction of about 20%. The degree of bleaching in Figure 3 is more efficient than in the undiluted grana membrane (Fig. 2). This may be a consequence of the higher protein mobility in lipid diluted membranes: During the bleaching period, mobile protein complexes move from unbleached regions into the bleached line. However, we checked that the estimation of the immobile fraction and of the diffusion coefficient does not depend on the degree of bleaching (see Supplemental Figs. S1 and S2). Thus the differences in the immobile fraction and in D between Figures 2 and 3 are not caused by differences in bleaching efficiency. Figure 4 shows the dependence of diffusion parameters on the lipid-chlorophyll ratio. With increasing lipid dilution of grana, the immobile fraction decreases and the diffusion coefficient increases. Over the range of dilutions used, the immobile fraction decreases from about 75% (native grana membranes) to about 25%. Over the same range of dilutions, the diffusion coefficient increases roughly 7-fold (4.6 ± 0.4 x 10–11 to 3.2 ± 0.9 x 10–10 cm2 s–1). The changes in both parameters have threshold characteristics. Up to a lipid:chlorophyll ratio of about 4, both parameters did not change significantly. Further addition of lipids induces a decline in the immobile fraction and an increase in the diffusion coefficient of the mobile fraction.
Effects of Salt Concentration
There is strong evidence that protein-protein interactions in thylakoid membranes are stabilized by divalent cations and that removing these cations (giving "low-salt" conditions) leads to a breakdown of the protein network (Barber, 1982
Which Chlorophyll-Protein Complexes Are Mobile in Grana Membranes?
Our FRAP measurements show that native spinach grana membranes contain two distinct populations of chlorophyll-protein complexes, each with a distinct mobility. One population (responsible for about 75% of chlorophyll fluorescence) appears completely immobile on short (9-min) timescales. A second population (responsible for about 25% of chlorophyll fluorescence) diffuses freely and relatively rapidly (diffusion coefficient about 5 x 10–11 cm2 s–1). This observation raises the question of which of the various chlorophyll protein complexes in the grana are mobile. The major chlorophyll-protein complexes in grana membranes are the PSII core complex (which is normally dimeric) and the "major" LHCII light-harvesting antenna consisting of trimers of LHCII proteins. In addition there are three "minor" antenna complexes that are normally monomeric. There are usually about eight LHCII trimers for every PSII dimer (Dekker and Boekema, 2005
However, it is likely that the mobile fraction is a subpopulation of LHCII because another approach indicates that part of the LHCII antenna must be mobile, at least under some conditions; some LHCII can redistribute between the grana and the stroma lamellae as a result of the acclimation mechanism known as state transitions (Drepper et al., 1993
Consoli et al. (2005)
Drepper et al. (1993)
Granal membranes are densely packed with proteins, which occupy about 80% of the membrane area (Kirchhoff et al., 2002
The threshold effect for lipid dilution suggests that diffusion of the majority of the protein complexes is impeded by clustering into larger assemblages. These assemblages remain stable and withstand solubilization by additional lipids up to the threshold value of about four added lipids per chlorophyll. Above this value, where the lipid area fraction in grana membranes is roughly doubled, the assemblages are destabilized and the majority of protein in the membranes becomes mobile. It is interesting that functional analysis of light harvesting by chlorophyll fluorescence also reveals a threshold effect of lipid dilution, although in this case the threshold appears a little lower (Haferkamp and Kirchhoff, 2008
We can roughly estimate the minimum size of the immobile assemblages, on the assumption that the diffusion coefficient is inversely proportional to the radius of the diffusing particle (Gambin et al., 2006
To further explore the role of protein-protein interactions in restricting protein diffusion in grana membranes, we tested the effect of incubation in low-salt buffers. Under these conditions electrostatic screening of negative surface charges by cations is reduced, leading to destabilization of protein-protein interactions (Barber, 1982
Our results show that most of the protein in grana membranes has restricted diffusion at native protein density. However, there is a mobile fraction of protein, and the diffusion coefficient of this mobile protein (about 5 x 10–11 cm2 s–1) is surprisingly high for such a crowded membrane. From the diffusion coefficient we can estimate the escape time, that is, the time it takes for a protein complex to diffuse out of a granum and into the stroma lamellae. The escape time has considerable physiological relevance because it indicates the restrictions that molecular crowding may place on the kinetics of regulation of light harvesting, and the PSII repair cycle. From the Einstein diffusion equation, the mean time required to diffuse a given distance from the starting point is given by X2/4D, where X is the distance and D the diffusion coefficient. Thus, the mean escape time for a protein in the center of the disc would be about 2 s. This result contrasts very sharply with Monte Carlo simulations suggesting that PSII in stacked regions might require up to an hour to escape from the grana (Kirchhoff et al., 2004b The organization of grana into many small discs is probably another adaptation to allow faster exchange of proteins with the stroma lamellae. Larger grana would lead to a very significant increase in the escape time. For example, if the grana were 5 µm in diameter (about the diameter of a typical chloroplast), a diffusion coefficient of 5 x 10–11 cm2 s–1 would lead to an escape time of more than 5 min for a protein in the center of the disc.
Diffusion of much of the protein in grana membranes is strongly restricted by a combination of macromolecular crowding and protein-protein interactions. However, there is a pool of mobile protein that diffuses rapidly enough to escape from the grana within a few seconds. Thus, rapid, diffusion-based exchange of proteins between the grana and the stroma lamellae is possible. This is likely to be crucial for rapid regulation of light harvesting, and efficient PSII repair.
Membrane Preparation
Grana (BBY) membranes were isolated from spinach (Spinacia oleracea), according to Schiller and Dau (2000)
Twenty microliters of 2,2,2-trifluoroethanol (Sigma-Aldrich) containing 10 mM PC (Sigma-Aldrich) and 10 µM 4,4-difluoro-5,7-dimethyl-4-bora-3a,4a-diaza-s-indacene-3-dodecanoic acid (BODIPY FL C-12; Invitrogen; Haugland, 2005
FRAP measurements were carried out with a Nikon PCM2000 laser-scanning confocal microscope equipped with a 100-mW Argon laser (Spectra-Physics). The 488-nm line of the Argon laser was selected for excitation. BODIPY FL C-12 and chlorophyll emission were detected simultaneously. BODIPY FL C-12 emission was selected with a 505-nm dichroic mirror and an interference band-pass filter transmitting between about 500 and 527 nm. Chlorophyll emission was selected with a Schott RG665 red-glass filter transmitting wavelengths longer than about 665 nm. For FRAP, a line was bleached across the sample by switching from XY-scanning mode to X-scanning mode, and increasing the laser power by a factor of 32 by withdrawing neutral density filters. After 1 to 2 s, the laser power was reduced again, the microscope was switched back to XY-scanning and a series of 20 postbleach images was recorded, typically at 3-s intervals with five additional images at 60-s intervals.
Analytical estimation of diffusion parameters is impracticable because the dimensions of the membrane patch, and the placement and depth of the bleach, are different in every measurement. We therefore used a computational method for estimating the diffusion coefficient. The method uses a one-dimensional approximation. One-dimensional fluorescence profiles were extracted from each image in the Y-direction (i.e. perpendicular to the line-bleach), summing fluorescence across the membrane patch in the X-direction (see Figs. 2 and 3). Because the membrane patches are small, bleaching results in a significant decrease in the total fluorescence from the sample. To compare fluorescence distributions before and after the bleach, the profiles were normalized to the same total fluorescence. The postbleach profiles were then subtracted from the prebleach profile to generate a set of difference profiles. The mobile fraction was estimated by comparing the first postbleach profile with the profiles obtained at the longest time points. To estimate the diffusion coefficient, the first postbleach difference profile was taken, and an iterative computer routine was used to predict its evolution due to random diffusion, assuming an arbitrary diffusion coefficient. For the mobile fraction of fluorescence the incremental change in fluorescence at each pixel (
t is a small time increment, P is the pixel width, and D is the assumed value for the diffusion coefficient. The program generates a series of predicted fluorescence profiles at various times after the bleach. From this, a predicted fluorescence recovery curve at the center of the bleach can be extracted. To obtain an estimate for D, the predicted fluorescence recovery curve was fitted to the experimentally observed fluorescence recovery curve by adjusting the time axis.
The following materials are available in the online version of this article.
Received December 18, 2007; accepted February 12, 2008; published February 20, 2008.
1 This work was supported by the Deutsche Forschungsgemeinschaft (to H.K. and S.H.), a Royal Society International Joint Project grant (to C.W.M. and H.K.), Biotechnology and Biological Sciences Research Council and Wellcome Trust grants (to C.W.M.), a Royal-Society-Wolfson Research Merit Award (to J.F.A.), and a Leverhulme Trust Emeritus Fellowship (to D.B.A.E.). The author responsible for distribution of materials integral to the findings presented in this article in accordance with the policy described in the Instructions for Authors (www.plantphysiol.org) is: Helmut Kirchhoff (kirchhh{at}uni-muenster.de).
[W] The online version of this article contains Web-only data. www.plantphysiol.org/cgi/doi/10.1104/pp.107.115170 * Corresponding author; e-mail kirchhh{at}uni-muenster.de.
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