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* Max-Planck-Institute for Biophysical Chemistry, Göttingen, D-37077 Germany;
Center of Biotechnology, Dresden University of Technology, c/o Max-Planck-Institute for Molecular Cell Biology and Genetics, 01307 Dresden, Germany; and
Freie Universität, Pflanzenphysiologie, D-14195 Berlin, Germany
Correspondence: Address reprint requests to Petra Schwille, TU Dresden, MPI for Molecular Cell Biology and Genetics, Pfotenhauerstr. 108, 01307 Dresden, Germany. Tel.: 49-351-210-1444; E-mail: pschwil{at}gwdg.de or Tilman Lamparter, Freie Universität Berlin, Pflanzenphysiologie, Königin Luise Str. 12-16, D-14195 Berlin, Germany. Tel.: 49-0-30-838-54918; Fax: 49-0-30-838-54357; E-mail: lamparte{at}zedat.fu-berlin.de.
| ABSTRACT |
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| INTRODUCTION |
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Fluorescence correlation spectroscopy (FCS) is a sensitive and noninvasive technique with which it is possible not only to measure fluorescence intensity but also to learn about the mobility of particles within a femtoliter volume on the single molecule level in living cells through analysis of the intensity fluctuations.
The diffusibility of biomolecules in specific subcellular compartments can be determined by combining laser scanning microscopy (LSM) with local FCS measurements. The methodological aim of this work was to show that it is possible to distinguish between a freely diffusing biomolecule in the cytosole and a membrane-associated form of the same by determining the molecular mobility in the center and the cell edge using FCS. FCS has previously been used to characterize the membrane association of signaling molecules in mammalian cells (Brock et al., 1999
). In this work, we used phytochrome as an example for a signal transduction protein to examine its role in phototropism and polarotropism in plant cells.
Phytochromes are homodimeric photochromic chromoproteins. Each subunit carries one bilin chromophore; in plants, this is usually phytochromobilin (Rüdiger and Thümmler, 1994
). Phytochrome action is triggered by photoconversion from the red-light absorbing form, Pr, into the far-red-light absorbing form, Pfr. In seed plants grown in the dark, phytochrome is generally found in the cytosole, but upon photoconversion it is partially translocated into the nucleus (Nagy et al., 2000
) where it is involved in the regulation of gene expression.
Despite evidence that phytochrome can act in the nucleus, nature has provided many examples where phytochrome exerts its action at the cell periphery: in green algae, mosses, and ferns, phytochrome controls cellular vectorial responses such as chloroplast movement and phototropism of protonemal tip cells (Kraml, 1994
). Experiments with polarized light have suggested that the active phytochrome molecules are attached to or located closely at the plasmalemma and that the transition dipole moment of the Pr form is oriented parallel to the longitudinal axis of the cell (Kraml, 1994
).
Our aim was to gain further insight into the intracellular distribution of phytochrome in protonemal tip cells of the moss Ceratodon purpureus. These cells display a phytochrome-controlled phototropic response. As in other cryptogam species, the effect of polarized red light implies that phytochrome acts at the cell periphery (Hartmann et al., 1983
; Esch et al., 1999
). On the other hand, the major part of extracted phytochrome is found in the soluble fraction (Lamparter et al., 1995
) and antibodies detected phytochrome in the cytosole (T. Lamparter, unpublished). The fraction of phytochrome, which controls phototropism and polarotropism, may be small. Using conventional techniques, the phytochrome at the cell periphery appears to be hidden behind the bulk of cytosolic phytochrome. Since membrane-associated molecules have a lower mobility than those in the cytosole, it should be possible to separate membrane-bound from cytosolic phytochrome by FCS, which provides an extremely small femtoliter element.
To obtain fluorescent phytochrome, we used direct labeling by chromophore replacement with phycoerythrobilin (PEB). Because there is only one double bond difference between the PEB adduct and the natural phytochromobilin adduct, the PEB method does probably not influence the surface binding properties of the phytochrome protein we were interested in. Other groups labeled phytochrome by expressing it as a fusion protein with green fluorescent protein (GFP) (Kircher et al., 1999
; Yamaguchi et al., 1999
), but a protein fusion with GFP entails the danger of affecting the protein activity, e.g., by modifying surface binding.
Apophytochromes assemble with PEB in vitro (Li et al., 1995
) and in vivo (Murphy and Lagarias, 1997
). The fluorescence of free PEB is negligible, but the phytochrome adduct is highly fluorescent with a quantum yield of
0.70.8, an absorbance maximum at
575 nm, and an emission maximum at
585 nm (Murphy and Lagarias, 1997
). In contrast, the fluorescence quantum yield of the natural adduct with the phytochromobilin chromophore is
103104 (Sineshchekov, 1995
) and cannot be used for detecting phytochrome at the cellular level.
From Ceratodon, mutants with a defect in chromophore biosynthesis have been isolated. These mutants are characterized by their aphototropic growth and low chlorophyll content. The mutants, termed ptr class 1 mutants, can be rescued by biliverdin, a precursor of phytochromobilin. This finding implied that the mutants are defective in heme-oxygenase, an enzyme that converts heme into biliverdin. This suggestion has been confirmed for the class 1 mutant ptr116 by microinjection studies (Brücker et al., 2000
). The Ceratodon class 1 mutants offer a valuable tool for labeling phytochrome by PEB feeding, because the chromophore-free phytochrome in the cell will assemble with PEB from the medium. The PEB adducts do not undergo photoconversion into the Pfr form. In fluorescence measurements, photoactive phytochrome would soon be converted into Pfr; therefore, PEB phytochrome are advantageous for measuring the intracellular distribution in the ground state.
Fluorescence autocorrelation spectroscopy
Conventional fluorimetry measures the average fluorescence intensity of a bulk sample and can be used to obtain data about concentration, quenching, and fluorescence resonance energy transfer (FRET) efficiency. However, the pattern of intensity fluctuations in very small ensembles of fluorescent molecules, which cannot be obtained from averaged signals, also yields a wealth of additional information. A method for quantitative analysis of such fluctuations in equilibrium was introduced in 1972 (Madge et al., 1972
; Elson and Madge, 1974
) and termed fluorescence correlation spectroscopy. In the simplest case, the intensity fluctuations are induced by fluorophores entering and leaving the illuminated region by Brownian motion and are analyzed by calculating the autocorrelation function of the fluorescence signal with high temporal resolution. This autocorrelation analysis reveals characteristic timescales of the fluorescence fluctuations by self (auto)-comparison of the fluctuating intensity signal for statistical repetitions.
The full potential of FCS has been exploited since 1991. The introduction of confocal detection optics, which focuses a laser beam through a microscope (Fig. 1), makes measurements in an open femtoliter volume element possible. This has led to an increased signal/background ratio (Qian and Elson, 1991
; Rigler et al., 1993
). In combination with highly sensitive avalanche photodiodes, stable laser sources, and precise optics, it has been possible to analyze fluorophores on a single molecule level (Rigler et al., 1992
); e.g., 1 fl nanomolar solution contains on average of 0.6 molecules that produce intensity fluctuations by entering and leaving the focal volume. The measured time-dependent fluctuations allow the diffusional parameters to be calculated by autocorrelation analysis. In addition to revealing the molecular residence or diffusion time
D (Fig. 2 c, info 1), this analysis determines the average number of simultaneously observed particles in the focus (Fig. 2 c, info 2) (indicating the molecular brightness) and the short-lived average times of dark states of the fluorophore, such as triplet state or blinking (Fig. 2 c, info 3). FCS has been used for the analysis of fluorescently labeled biomolecules in solution (Qian et al., 1992
; Schwille et al., 1997
), on membranes (Bacia et al., 2002
; Schwille et al., 1999b
), and in living cells (Widengren and Rigler, 1998
; Brock et al., 1998
; Schwille et al., 1999a
).
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| MATERIALS AND METHODS |
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5 mM) at 80°C.
Moss strains and cultures
The wild-type strain wt4 and the mutant ptr116 of the moss C. purpureus were used for this study (Lamparter et al., 1996
). Protonemal filaments were grown on petri dishes containing 1b medium with 1.1% agar (Lamparter et al., 1996
). Protonemal tissue was inoculated on small cellophane squares that were placed on top of the agar medium. Thereafter, the filaments were grown for 5 or 6 days at 20°C in the dark, keeping the petri dishes in a vertical position. Under these conditions, the filaments grow upwards. The tip cells were located at a distance
5 mm above the inoculation zone. For bilin feeding, stock solutions were mixed with the agar medium before cooling and hardening of the agar. The final concentrations were 4 µM for PEB and 10 µM for PCB. Moss filaments were transferred to that medium 1 day before the fluorescence assays and kept under the same growth conditions as before. The moss plates were transferred to the microscope room in black boxes before single filament samples were taken for microscopy. Sample handling was performed under dim white light, keeping the time of light exposure as short as possible. For measurements on intracellular green fluorescent protein, the pBASGFP expression plasmid was injected into ptr116 tip cells that had been grown as above (Brücker et al., 2000
). Fluorescence measurements were performed 2 days after the injection. In vitro FCS measurements with 30 nM GFP or with 30 nM PEB adduct of phytochrome Cph1 from the cyanobacterium Synechocystis PCC 6803 (Lamparter et al., 2001
) were performed in buffer (50 mM Tris/HCl, 5 mM EDTA, 100 mM NaCl, pH 7.6).
Experimental setup for LSM and FCS
Confocal LSM and FCS were performed on a commercial ConfoCor 2 LSM 510 combination system (Zeiss, Jena, Germany) in an autocorrelation configuration (Fig. 1). The 543-nm laser line of a helium-neon laser was reflected by a dichroic mirror (main beam splitter 543) and focused through a Zeiss C-Apochromat 40x, NA 1.2 water immersion objective onto the sample. The excitation power at the location of the sample was 13 µW. The fluorescence emission collected by the same objective was passed through a 560615-nm bandpass filter and recorded with an avalanche photodiode. Out-of-plane fluorescence was reduced by a pinhole with a diameter of 80 µm. The fluorescence signal was software correlated and displayed online. The detection volume had a 1/e2 lateral radius of
0.20 µm as determined by calibration measurements with Alexa 546 (Molecular Probes, Eugene, OR); the axial 1/e2 radius was
1.1 µm. The desired position for intracellular measurements was selected in the LSM image, using the automated stage positioning of the ConfoCor 2 system. During data acquisition, the entire sample was covered by a black lid. Therefore, the cells were only irradiated by measuring light. Data were evaluated by Levenberg-Marquardt nonlinear least-square fitting to the appropriate model equations using Origin Software 7.0 (OriginLab, Northampton, MA).
Control measurements with GFP were performed with a similar setup. The 488-nm laser line of an argon-ion laser was reflected by a main beam splitter 488 nm; the emitted light was passed through a 505550-nm bandpass filter. With this setting, the detection volume had a 1/e2 lateral radius of
0.18 µm and an axial 1/e2 radius of
0.98 µm as determined by calibration measurements with Alexa 488 (Molecular Probes).
Mathematically, FCS analyzes the fluctuations of the fluorescence emission signal for statistical regularities by autocorrelation analysis using the general correlation function (Elson and Madge, 1974
):
![]() | (1) |
0; z0 is the 1/e2 parameter in axial direction. The structure parameter SP of this detection volume is defined as z0/
0 (Schwille, 2001
For the observation of translational 3D diffusion, the autocorrelation function G(
) is defined as follows (Aragon and Pecora, 1976
; Meseth et al., 1999
; Schwille et al., 1997
):
![]() | (2) |
D:
![]() | (3) |
The diffusion time
D of a fluorophore can be determined by Levenberg-Marquardt nonlinear least-square fitting of the observed autocorrelation curve. The diffusion time of a second component obtained by binding of the fluorophore in a complex with a higher molecular weight can be determined by introducing a second independent diffusion form into the fit function as (Rigler et al., 1993
)
![]() | (4) |
| RESULTS AND DISCUSSION |
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D, which reveals a restricted mobility of phytochrome. The characteristic mobility difference between periphery and center was found for every cell analyzed (n = 12). Fitting the FCS curves from the periphery to the autocorrelation function required two components, which suggests that in this region of the cell two populations with different mobility are detected within the confocal volume. We attempted to find two fixed diffusion times that could be used to fit all autocorrelation curves. To that end, FCS curves were fitted to Eq. 4 (with two components) by Levenberg-Marquardt nonlinear least-square fits. From measurements of the core of a cell, a mean
D value of 0.75 ± 0.05 ms was obtained for the faster component. This corresponds to an average diffusion coefficient of D = 1.3x107 cm2/s based on the calibrated detection volume. The diffusion time of the slower component was obtained from measurements at the cell periphery; in this case, the mean value was 4.8 ± 1 ms, which corresponds to an average diffusion coefficient of D = 2.1x108 cm2/s. This sixfold decrease of the diffusion coefficient indicates the binding of phytochrome to a huge cellular structure.
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From Fig. 6, a and b, it is evident that the fraction of lower mobility can make up to 80% measured phytochrome in the cell periphery. We propose that the peripheral fraction with lower mobility represents phytochrome bound to the plasma membrane of the tip cell. This is consistent with the calculated diffusion coefficient of D = 1.3x107 cm2/s for freely diffusing phytochrome and of D = 2.1x108 cm2/s for phytochrome at the cell periphery. The small low-mobility fraction in the core of the cell might originate from a nonspecific background autofluorescence of intracellular fluorescent proteins with a high molecular weight (see Brock et al., 1998
). On the other hand the mean
D value for the faster component was fixed, so small deviations may manifest in a second component.
To check whether the increase of
D could result from particular optical conditions at the cell periphery, we performed control measurements through microinjection of a GFP expression vector into ptr116 tip cells. All GFP FCS traces, including those from the cell periphery, fitted well with autocorrelation functions with a single component (Eq. 2). The
D values calculated from these fits varied between 0.12 and 0.35 ms with a mean value of 0.22 ± 0.03 ms, corresponding to a calculated diffusion coefficient of D = 3.89 x 107 cm2/s for freely diffusing GFP. There was no specific increase of
D at the cell periphery (Fig. 7). The diffusion coefficient of GFP is three times higher than that of the mobile fraction of phytochrome. GFP is a 27-kDa monomer (Prasher et al., 1992
), whereas plant phytochromes are homodimers with
120 kDa for each subunit (Kendrick and Kronenberg, 1994
) and have therefore a
10-fold higher molecular weight. For equally shaped molecules of equal density, the diffusion time is proportional to the radius of the molecule, which in turn depends on the third square root of the molecular weight. Thus, a ratio of 3 between both diffusion coefficients would be equivalent to a ratio of
27 between the molecular weights. This discrepancy might be explained by the different shape of the molecules. Whereas GFP is a more or less globular protein (Ormo et al., 1996
), phytochromes deviate from the spherical form and appear ellipsoid or Y shaped (Jones and Quail, 1989; Quail, 1997
; Zeidler et al., 1998
). To test for the influence of molecule shape on FCS measurements, we compared recombinant GFP with the PEB adduct of cyanobacterial Cph1 from Synechocystis PCC 6803 in vitro. The
D values were 0.086 ± 0.001 ms for GFP and 0.300 ± 0.02 ms for PEB-Cph1, corresponding to diffusion coefficients of D = 9.35 x 107 cm2/s and D = 3.27 x 107 cm2/s, respectively, and a D ratio of 2.8. This value is slightly smaller than the value above which arose from the comparison of Ceratodon PEB phytochrome and GFP in vivo. This correlates with the molecular size of the Cph1 dimer of 170 kDa, which is slightly smaller than that of plant phytochromes. Thus, the in vitro measurements support the assumption that the relatively small diffusion coefficient of phytochrome results from the shape of the molecule.
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and
(Aragon and Pecora, 1976
For many cryptogam species, including the moss C. purpureus analyzed here, a particular orientation of active phytochrome molecules has been postulated from action dichroism studies (Hartmann et al., 1983
; Kraml, 1994
; Esch et al., 1999
). It has long been proposed that active phytochrome molecules in cryptogams are either attached to the plasma membrane or to structures close by. Membrane-associated phytochrome has not been directly detected in the cell yet, because the background of cytosolic phytochrome makes it difficult to specifically detect a membrane-bound subfraction.
In this article, we show that this problem can be solved by FCS, which provides an extremely small femtoliter volume element suitable for highly sensitive measurements. With FCS, the mobility of biomolecules in living cells can be determined in a noninvasive manner. In this way, a peripheral fraction of phytochrome with low mobility was detected at the cell periphery despite the existence of the bulk cytosolic phytochrome displaying normal mobility.
The fact that peripheral phytochrome appears still mobile on the plasma membrane does not conflict with its proposed dichroic orientation. The mode of phytochrome-membrane interaction is as yet only poorly understood, but membrane-diffusible anchor proteins could hold the phytochrome dimer in a particular orientation with the transition dipole of each chromophore at a particular angle to the cell surface. Moreover, it is possible that another subfraction of membrane-associated phytochrome is overseen with our technique: FCS is insensitive for immobile molecules. Although LSM images (Fig. 3) and intensity scans (Fig. 6 a) show that the concentration of phytochrome in the plasmamembrane region is not above the average, we consider it possible that an immobile membrane-bound fraction is hidden from FCS detection.
With FCS, it will be possible to test for membrane-associated phytochrome in other cryptogams and in angiosperms. Since membrane-associated phytochrome has generally been found in cell extracts (Rubinstein et al., 1969
; Lamparter et al., 1992
; Esch and Lamparter, 1998
), it has to be checked with the help of FCS whether membrane association of phytochrome might be a general phenomenon, which is not only restricted to cryptogam species. Autocorrelation studies on GFP-labeled phytochromes may allow a distinction between different phytochrome species and mutants thereof, if the GFP fusion does not affect the surface binding properties of the phytochrome. Finally, revealing the membrane association of a biomolecule through FCS may be a powerful tool with which to examine the regulation of membrane binding of other signal transduction proteins in living cells.
| ACKNOWLEDGEMENTS |
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This work was supported by the Deutsche Forschungsgemeinschaft, La 799/6-1, and by the German Ministry for Education and Research (Biofuture program). The ConfoCor 2 LSM 510 combination system was kindly provided by Carl Zeiss.
Submitted on December 13, 2003; accepted for publication May 7, 2004.
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