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Laboratoire Joliot-Curie (CNRS USR 3010) et Laboratoire de Physique (CNRS UMR 5672), Ecole Normale Supérieure de Lyon, 69007 Lyon, France
Correspondence: Address reprint requests to Cendrine Faivre-Moskalenko, E-mail: cendrine.moskalenko{at}ens-lyon.fr.
| ABSTRACT |
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| INTRODUCTION |
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Chromatin remodeling complexes are used by the cell to overcome the general repression of transcription associated with the DNA organization into chromatin (7
9
). To destabilize histone-DNA interaction, remodeling factors (like SWI/SNF) consume the energy from ATP hydrolysis to relocate the histone octamer along the DNA sequence (10
,11
), and in some cases the ejection of the octamer from the DNA template is observed (12
). The molecular motor SWI/SNF is known to mobilize the histone octamer from a central to an end position on short DNA templates (13
). Nevertheless, the molecular mechanisms involved in the nucleosome remodeling process have not yet been elucidated.
Histone variants are nonallelic isoforms of the conventional histones. The function of the different histone variants is far from clear, but the emerging general picture suggests that the incorporation of histone variants (14
19
) in the nucleosome has a serious impact on several processes, including transcription and repair, and it may have important epigenetic consequences (20
23
). H2A.Bbd (Barr body deficient) is an unusual histone variant whose primary sequence shows only 48% identity compared to its conventional H2A counterpart (24
). The current view is that H2A.Bbd is enriched in nucleosomes associated with transcriptionally active regions of the genome (24
). In recent studies, the unusual properties of this variant nucleosome were described (16
,25
) using a combination of physical methods and molecular biology approaches. Those results were mainly focused on the biological role of the various histone fold domains of H2A.Bbd on the overall structure, stability, and dynamics of the nucleosome, whereas we concentrate here on the quantification of the subtle modifications in the nucleosome conformation induced by the presence of this histone variant.
Different experimental approaches have been used so far to study the structure and dynamics of the nucleosome, including crystallographic studies by Luger et al. (26
), restriction enzyme accessibility assays (27
,28
), and fluorescence resonance energy transfer measurements (29
,30
). Additionally, physical models (31
) and recent computational efforts were developed to describe the nucleosome dynamics and energetics (32
35
). After these numerous contributions, this study combines experimental (AFM) and theoretical tools to bring complementary information regarding the interplay between nucleosome position dynamics and DNA wrapping energetics.
AFM (36
) allows direct visualization of chromatin fibers and isolated nucleosomes (37
). Several experimental procedures allow us to depose and reproducibly observe all this without any fixing agent, DNA, or chromatin samples (38
44
). By scanning the sample with an apex of very high aspect ratio mounted on a flexible lever, the topography of a surface at the nanometric scale can be acquired. Moreover, computer analysis of AFM images enables the extraction of systematic and statistically relevant distributions of structural parameters describing these biological objects (45
47
). As the nucleosome is a complex and very dynamic structure, it has been observed that, for a given DNA template, the position of the octamer relative to the sequence (13
,48
50
) and the length of DNA wrapped around the histone octamer (27
29
,51
,52
) both could change drastically in time.
This article is organized as follows. First, we show that mapping the nucleosome position along with the length of DNA complexed with histones within individual nucleosome is a powerful tool to discriminate between conventional and variant nucleosomes. A model is then proposed to explain these differences quantitatively and to calculate the wrapping energy of nucleosomes in each case. Next, we study nucleosomes in a more dynamic context by observing the action of chromatin-remodeling factor SWI/SNF. To do so, similar mapping of the nucleosome position and DNA-complexed length was used to quantify the impact of ATP-activated remodeling and sliding of nucleosomes. The results suggest experimental insights into the processivity of SWI/SNF on mononucleosomes.
| MATERIALS AND METHODS |
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Protein purification, nucleosome reconstitution, and remodeling assays
Recombinant Xenopus laevis full-length histone proteins were produced in bacteria and purified as described (54
). For the H2A.Bbd protein, the coding sequences for the H2A and for H2A.Bbd were amplified by PCR and introduced in the pET3a vector. Recombinant proteins were purified as previously described (55
).
Yeast SWI/SNF complex was purified as described previously (56
), and its activity was normalized by measuring its effect on the sliding of conventional nucleosomes: one unit being defined as the amount of ySWI/SNF required to mobilize 50% of input nucleosomes (
50 ng) at 29°C during 45 min. Nucleosome reconstitution was performed by the salt dialysis procedure (57
). Nucleosomes reconstituted on a 601 nucleosome positioning sequence (20 ng) were incubated with SWI/SNF as indicated at 29°C and in remodeling buffer containing 10 mM Tris-HCl, pH = 7.4, 2.5 mM MgCl2, and 1 mM ATP. The reaction was stopped after the time indicated, by diluting
10 times in TE buffer (Tris-HCl 10 mM, pH = 7.4, EDTA 1 mM) and NaCl 2 mM and deposing the sample onto the functionalized aminopropyltriethoxy silane (APTES)-mica surface.
Atomic force microscopy and surface preparation
For the AFM imaging, the conventional and variant nucleosomes were immobilized onto APTES-mica surfaces. The functionalization of freshly cleaved mica disks (muscovite mica, grade V-1, SPI Supplies, West Chester, PA) was obtained by self-assembly of a monolayer of APTES (aminopropyltriethoxysilane) under argon atmosphere for 2 h (39
). Nucleosomes (DNA concentration
75 ng/µl) were filtered and concentrated using Microcon centrifugal filters (Millipore, Bedford, MA) to remove free histones from the solution and diluted 10 times in TE buffer, just before deposition onto APTES-Mica surfaces. A 5-µl droplet of the nucleosome solution is applied on the surface for 1 min, rinsed with 1 mL of Milli-Q Ultrapure water (Millipore), and gently dried by nitrogen flow. The samples were visualized by using a Nanoscope III AFM (Digital Instruments, Veeco, Santa Barbara, CA). The images were obtained in tapping mode in air, with silicon tips (Veeco, resonant frequency 250350 kHz) or diamond-like carbon spike tips (Veeco, resonant frequency
150 kHz) at scanning rates of 2 Hz over scan areas 1-µm wide.
This surface functionalization was chosen because it is known to trap three-dimensional (3D) conformation of naked DNA molecules on a two-dimensional (2D) surface (58
,59
). Moreover, under such experimental conditions, rinsing and drying are thought to have little effect on the observed conformation of biomolecules (60
).
Image analysis
We extracted parameters of interest from the AFM images using a MATLAB (The MathWorks, Natick, MA) script essentially based on morphological tools such as binary dilatation and erosion (61
64
) and height/area selections. The aim of the first three steps of this algorithm is to select relevant objects:
and
where
and
are the heights of the two thresholds). These three steps lead to the selection of binary objects whose area is between 500 and 2000 nm2 and corresponds in the AFM image to a group of connected pixels whose minimum height is more than 0.25 nm and maximum height is above 1.6 nm. For example, a height criterion is used to reject tetrasomes while events with SWI/SNF still complexed with nucleosomes are removed from analysis by a size criterion. The next steps correspond to measurements in itself:
7.5 nm is the apparent nucleosome radius) and then thinning the free arm regions using a commercial MATLAB script optimized to avoid most of the branching in the skeleton.
These last five steps lead to quick and robust measurements. Indeed the use of morphological tools allows parallel calculation simultaneously on all the objects. Moreover, erosion is a good approximation for the inverse operation of the AFM dilatation due to the finite tip radius and leads to a partial removal of the tip effect (66
,67
).
The longest arm is named L+ and the shortest L. DNA-complexed length is deduced by Lc = Ltot L L+, where Ltot is either 255 bp for short conventional and variant nucleosomes or 356 bp for long conventional nucleosomes. The position of the nucleosome relative to the DNA template center is calculated as
L = (L+ L)/2. Notice that the position defined this way corresponds to the location of the most deeply buried basepair, which might differ from dyad axis position (strictly defined for symmetric nucleosomes).
Complexed DNA length and nucleosome position distribution construction
For the distribution of DNA-complexed length, well-centered nucleosomes were selected (
L* 
L/2
0 bp <
L < 12 bp
L* + 
L/2 for the 255-bp mononucleosomes where
L* is the most probable nucleosome position and 
L is the standard deviation of the
L distribution). To construct the histogram, a 20-bp sliding box was used. For each L0 in [0, 300 bp], nucleosomes with a DNA-complexed length included in the range [L0 10 bp, L0 + 10 bp] were counted. After normalization, a smooth distribution is obtained that mathematically represents the convolution of the real experimental distribution with a rectangular pulse 20-bp long.
To obtain the nucleosome position distribution, we selected nucleosomes with a DNA-complexed length, Lc, in a range of width,
Lc, around L* = 146 bp (123 bp
L*
Lc < Lc < L*
Lc 169 bp for canonical nucleosomes). Then, the same 20-bp sliding box protocol was used to construct the nucleosome position distribution. The error on the distribution function mean value (standard error) is given by
exp/
N, where
exp is the standard deviation of the experimental distribution, and N the number of analyzed nucleosomes (central limit theorem).
2D distribution Lc/
L construction
To construct the 2D histogram, a 10-bp sliding box was used. For each coordinate (
L0, L0) in [0, 75 bp] x [0, 300 bp], nucleosomes with a DNA-complexed length included in the range [L0 5 bp, L0 + 5 bp] and a position included in the range [
L0 5 bp,
L0 + 5 bp] were counted. After normalization a smooth distribution is obtained that mathematically represents the convolution of the real experimental 2D distribution with a 10-bp square rectangular pulse.
Reproducibility and experimental errors
We checked that different batches of APTES, nucleosome reconstitutions, ySWI/SNF, and mica surfaces lead to similar results for the sliding assays and for the 2D mapping within the experimental uncertainty. Moreover, we checked by image analysis of the same naked DNA on the same surface and within the same experimental conditions (data not shown) that the whole measurement and analysis process have an experimental error of
10 bp in DNA length measurement. Notice that uncertainty on the mean value of length measurements can be much smaller than this resolution as explained in the Supplementary Material Fig. S3.
| RESULTS AND DISCUSSION |
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For short and long arm mononucleosomes
We first investigated the influence of the DNA template length on the nucleosome-complexed length distribution for conventional nucleosomes. Indeed, one could expect that the nucleosome positioning efficiency for the 601 DNA template and/or the range of wrapped DNA length could depend on the length of free DNA arms. Using purified conventional recombinant histones, nucleosomes were reconstituted by salt dialysis on 255-bp (short nucleosome) or 356-bp (long nucleosome) DNA fragments containing the 601 positioning sequence. Tapping mode AFM in air was used to visualize the reconstituted particles adsorbed on APTES-mica surfaces, and images of 1 µm2 were recorded. A representative image of long mononucleosomes (Ltot = 356 bp) is displayed in Fig. 1 a. Such an image enables us to clearly distinguish the NCP (red part of the complex, hNCP
2 nm) from the free DNA arms (yellow part of the complex, hDNA
0.7 nm) entering and exiting the complex.
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L = (L+ L)/2).
The 2D histogram Lc/
L is plotted in Fig. 1 c for 702 conventional short nucleosomes using a 2D sliding box as described in the Materials and Methods section. The maximum of the 2D distribution is positioned at L* = 145 bp and
L = 15 bp, in qualitative agreement with the DNA template construction. The 2D mapping is an important tool to study nucleosome mobilization (see the SWI/SNF sliding section), since both variables are highly correlated during nucleosome sliding/remodeling. Quantitative information can, however, also be obtained by projecting such a 2D histogram on each axis. First, we selected well-positioned nucleosomes according to the expected position given by the DNA 601 template construction (0 bp <
L < 12 bp for short DNA fragments) and shown their DNA-complexed length probability density function (purple line, Fig. 1 d). This distribution of the DNA length, organized by conventional octamer peaks at L* = 146 ± 2 bp, is in quantitative agreement with the crystal structure of the nucleosome (26
) and cryo-electron microscopy (cryo-EM) measurements (25
). The broadness of this distribution (
= 23 bp) might be explained by different nucleosome-wrapping conformations. We will explain later on how this dispersion relates to DNA-histone interaction energies using a simple model.
We used the same approach to study long nucleosomes (2D histogram not shown). Well-positioned long nucleosomes according to the DNA sequence (12 bp <
L < 32 bp) have very similar probability distribution (blue line in Fig. 1 d) than that obtained for short nucleosomes showing that the free linker DNA does not significantly affect the organization of complexed DNA for such nucleosomes.
We now select nucleosomes that have a complexed length in the range L* ±
Lc, where
Lc is the standard deviation of the Lc distribution, and their position distribution is displayed in Fig. 1 e. The peak values for each DNA fragment (9 ± 2 bp and 24 ± 2 bp for short and long nucleosomes, respectively) is close to the expected value from the DNA template construct (2 bp and 22 bp for short and long DNA fragments, respectively). Both distributions have a full width at half-maximum that exceeds 20 bp. This width might arise from several features: asymmetric unwrapping of one of the two DNA arms, AFM uncertainty, or dispersion in octamer position. However, it is not possible with these measurements to determine the contribution of each phenomenon. Next, we can see that the distribution width for longer fragments seems greater. After corrections of artifacts inherent to L+/L labeling (see Supplementary Material Fig. 2), these two position distributions are very similar, showing that the free linker DNA affects neither the DNA-complexed length nor the positioning of such nucleosomes significantly.
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For conventional and H2A.Bbd variant mononucleosomes
To investigate the influence of the octamer composition on the wrapping of DNA around the histone octamer, an H2A.Bbd histone variant was used instead of conventional H2A to reconstitute mononucleosomes on a 255-bp DNA fragment. The H2A.Bbd variant nucleosomes were imaged by AFM (25
), and using the same analysis as described above, only the well-positioned nucleosomes (
L < 12 bp) were selected. Their DNA-complexed length distribution is plotted in Fig. 2 a where it is compared to conventional mononucleosomes reconstituted on the same 601 positioning sequence, 255-bp long, with the same position range selection (
L < 12 bp).
The average length of wrapped DNA is clearly different for the variant H2A.Bbd nucleosomes as the distribution peak value is L*H2A.Bbd = 130 ± 3 bp instead of L*H2A = 146 ± 2 bp for the conventional nucleosomes. Moreover the standard deviation of the distribution is clearly larger for the H2A.Bbd variant (
= 41 bp compared to
= 23 bp for the conventional nucleosomes). These differences show that the H2A.Bbd variant nucleosome is a more labile complex with less DNA wrapped around the octamer, in agreement with previous observations by AFM and cryo-EM (25
). The difference in DNA-complexed length suggests that
10 bp at each end of nucleosomal DNA are released from the octamer. Therefore, AFM allows us to visualize subtle differences in the nucleosome structure.
Finally, the DNA-complexed length distribution is asymmetric for canonical nucleosomes. This asymmetry can be quantified by measuring their skewness
defined as
![]() |
We find
= 0.57 ± 0.09, the negative sign meaning that nucleosome conformations with subcomplexed DNA, as compared to the mean value 146 bp, are energetically more favorable than with overcomplexed DNA. This can be interpreted within the simple model proposed below, based on relevant structural data information (26
). Notice that for variant nucleosomes, the complexed length distribution is nearly symmetric (
0.01 ± 0.16), and this feature will also be discussed in the modeling section.
Simple model of DNA-complexed length distribution
It has been shown that 14 discrete contacts between DNA and histone octamer are responsible for the stability of the nucleosome (26
). The energetic gain at these sites is made through electrostatic interactions and hydrogen bonding. At the length scale of the analysis here, the discreteness of binding sites is not relevant, and it will be replaced by a uniform effective adsorption energy
a< per unit length in units of kT/bp. The finite number of binding sites, or equivalently the finite DNA length, L*, complexed through these sites (146 bp for canonical nucleosomes, as determined both by these experiments and crystal structure), is due to the specific locations of favorable interactions located at the surface of the histone octamer, forming a superhelical trajectory on which DNA is complexed. DNA wrapping around the histone core involves additional bending penalty characterized by the energy per unit length:
where Lp is the persistence length of DNA within classical linear elasticity and R the radius of the histone octamer. The stability of the nucleosome requires that the net energy per unit length is negative (energetic gain), and therefore:
b <
a<.
The experimental distributions of DNA-complexed length show that more DNA can be wrapped around the octamer. For these additional basepairs, the net energy per unit length has to be positive, due mainly to bending cost. However, to allow for the possibility of some residual nonspecific (mainly electrostatic) attractive interactions beyond the 14 binding sites, the energetic gain of DNA contacting the octamer surface outside of the 14-site superhelical path has a different value, denoted
a>. The difference
a<
a> is then representative of the specificity of the 14-site region.
Assuming that the energy reference is given by uncomplexed straight DNA and octamer, the total energy for nucleosome is given by
![]() | (1) |
The distribution of DNA-complexed length is given by
It is maximum for the length L*, which characterizes the region of specific contacts. This length may vary for canonical and variant nucleosomes. The assumptions of energy linearity in wrapped DNA length and of the existence of L* lead to a double exponential distribution. By construction, one has the following constraints between effective energies
a> <
b <
a<.
It should be kept in mind that the effective values
a>,
a<, and
b are representative of nucleosomes adsorbed on a charged flat surface. These values might differ for nucleosomes in bulk solution, as discussed below.
Extraction of the DNA-complexed length parameters
It is possible to extract some parameters from each distribution by using the physical model presented below to interpret the experimental distribution of DNA-complexed length. We found it more reliable to use a global procedure for parameter determination, instead of fitting the multi-variate distribution. Since we expect the DNA-complexed length distribution to be described by a simple double-exponential model, the probability density function can be written as a skew-Laplace distribution whose moments are calculated as
![]() | (2) |
is the relative asymmetry of the skew-Laplace distribution, and
is the mean decay length. The distribution normalization is taken on the full real axis as a first approximation, thus neglecting finite size effects. Given the experimentally determined µ1, µ2, and µ3 parameters, we extract straightforwardly the parameters L*,
, and
by numerically solving Eq. 2.
Hence, we are able to measure the parameters L*,
, and
without any fitting by calculating the first three moments µ1, µ2, and µ3 of the DNA-complexed length statistical series. In our case we thus have
![]() |
To see the adequacy of this model with the experimental distribution, the function P(Lc = L) is drawn for the parameters extracted from the experimental data using the same 20-bp sliding box protocol as for the experimental complexed length distribution (Fig. 2 ).
The results are summarized in Table 1. The values of energies are expressed in units of kT per binding site, assuming 14 such sites along the 147 basepairs of DNA for canonical nucleosomes. Several comments are to be made on these values. First, the measured characteristic decay lengths corresponding to sub-(L<) and overcomplexed (L>) DNA lengths (Table 1, b and d) are clearly higher than the intrinsic resolution of our AFM measurements (related to the tip size that corresponds to
10 bp, as checked by image analysis of the same naked DNA on the same surface and within the same experimental conditionsdata not shown) for both conventional and variant nucleosomes, showing, therefore, the significance of the parameters extracted here. Hence, we are able to quantify the energies of both sub- and overcomplexed DNA length in a mononucleosome. For overcomplexed DNA length, the energy has been converted artificially into units of kT per binding site for the sake of comparison, although the model assumes that there are no such binding sites beyond the 14 sites found in the crystal structure (26
). If one assumes that overcomplexed DNA length results solely from bending around the histone core (
a> = 0), the value found for
b leads to a persistence length, Lp
3.5 bp, a value definitely too small for double-stranded DNA. Even more so, this energy is similar in amplitude to the energy of subcomplexed DNA length but with an opposite sign (Table 1, c and e). We conclude that it cannot simply be associated to a bending penalty, therefore justifying a posteriori the assumption of residual attractive interaction between DNA extra length and histone octamer.
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Comparison of model parameters extracted from data
These values have to be compared to other estimates reported in the literature. The net energetic gain per site can be compared to values extracted from experiments done by the group of J. Widom (68
70
). The spirit of these experiments was to probe the transient exposure of the DNA-complexed length in a nucleosome by using different restriction enzymes acting at various well-defined sites along the DNA. The experimental results clearly demonstrate that DNA accessibility is strongly reduced when restriction sites are located far away from the entry or exit of nucleosomal DNA, toward the dyad axis. From the experimental data, the authors extract a Boltzmann weight for different site exposures. This distribution should a priori be similar to the DNA-complexed length distribution obtained in our work, except that only subcomplexed nucleosomes are probed. However, due to the use of different restriction enzymes with different sizes and mechanisms of action, there is an inherent uncertainty in the assignment of precise DNA-complexed length with a free energy of the Boltzmann weight. In other words, only a range of energy per binding site can be extracted from these data. This has to be contrasted with most previous work using Polach and Widom's data, which quote a single value of 2 kT per binding site (31
). The range of net energetic gain we are able to estimate out of these data is between 0.5 and 3 kT per binding site. The value we extracted from our own measurements coincides therefore with the lower bound of this range. This might be due to the difference in the type of experiments used.
First, our observations are made on nucleosomes adsorbed on a charged substrate. This might change the energetics of nucleosome opening as compared to its value in solution. A theoretical estimation of this change is currently under progress (Castelnovo et al., unpublished). Another significant difference between Polach and Widom's experiments and our work is the composition of the buffer, which is known to affect the nucleosome stability. In particular, the buffer used for restriction enzyme assays contains more magnesium ions (
10 mM MgCl2).
The specificity of DNA binding sites on histone octamer, as determined in Table 1 e can also be compared to values extracted from x-ray experiments performed by Davey et al. (71
). Indeed, by counting the hydrogen bonds per binding site found in this structure, one can estimate the specific contribution to the binding energy. These contributions range between 0.8 and 2 kT per binding site (72
). Our estimate for conventional nucleosomes falls in this range (1.1 kT per binding site).
Finally, the comparison between canonical and variant nucleosomes shows that both the average complexed length and the energy per binding site are different. The averaged complexed DNA length Lc = 127 pb (Table 1 a) for the variant claims for either the absence or the strong weakening of at least two binding sites. Furthermore, the energy, and therefore the stability of the nucleosome for the remaining binding sites, is reduced (
H2A.Bbd
2/3
H2A), in accordance with other experimental observations (16
,25
,73
). We have shown in this section that a simple model using a linear energy for the DNA-histone interaction can be used to extract from the AFM data two important energetic parameters: the net energetic gain per site and the specific interaction between the DNA and the histone octamer per site. These values are in good agreement with previous biochemical and x-ray studies done on conventional nucleosomes, and for the first time to our knowledge are measured on a variant nucleosome.
Visualization of nucleosome sliding and remodeling by SWI/SNF for conventional and variant nucleosomes
After studying the nucleosomes in their equilibrium state, the same mononucleosomes were visualized in the presence of the SWI/SNF-remodeling factor to validate the possibility for this direct imaging approach to acquire new information on the mechanism and dynamics of nucleosome sliding.
Centrally positioned conventional and variant mononucleosomes (Ltot = 255 bp) were incubated with SWI/SNF at 29°C in the presence or absence of ATP and then adsorbed on APTES-mica surfaces for AFM visualization. In Fig. 3, we report AFM images of mononucleosomes incubated without (Fig. 3 a) and with (Fig. 3 b) ATP for 1 h. The sample containing no ATP is the control experiment to account for possible nucleosome thermally driven diffusion when incubated 1 h at 29°C. The representative chosen set of AFM images of Fig. 3 clearly shows that most of the nucleosomes are centered on the DNA template in the negative control (ATP), whereas they exhibit end position when SWI/SNF and ATP are present.
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5 times less SWI/SNF per nucleosome).
Using the same type of image analysis, we were able to reconstruct 2D histograms Lc/
L (using a 2D sliding box as described in the Materials and Methods section) at various time steps during nucleosome sliding: 0 (ATP), 20 min, and 1 h (Fig. 4). We first notice that in the absence of ATP, SWI/SNF has apparently no effect on the Lc/
L map. The 2D distribution exhibits a single peak corresponding to the canonical nucleosome positioned as expected from the DNA template (
state). As a function of time in the presence of remodeling complex and ATP, new states appear: (ß) corresponds to an overcomplexed nucleosome having the same mean position
L value as (
); this state could result from the capture of extra DNA (a loop of
40 bp) inside the NCP induced by SWI/SNF. (ß)-state is spread in the
L direction, showing that this extra complexed DNA length (
40 bp) seems to exist for various positions of the nucleosome (0 <
L < 30 bp). (
) is the slided end positioned nucleosome (
L
50 bp) having slightly less DNA wrapped around the histone octamer (Lc
125 bp). The
L distance separating (
)- and (
)-states is close to the Lc distance between (ß) and (
) states, meaning that the slided (
)-state most likely results from the release of the (ß)-state DNA loop (
40 bp). The fact that slided nucleosomes are subcomplexed, i.e., their dyad has been moved beyond the expected end position, has already been observed in other biochemical studies (74
). Similarly, the anisotropic spreading of the (
)-peak toward higher
L and lower Lc is also consistent with this feature. We cannot exclude that a finite size effect of the DNA template could account for this feature. Finally, (
) is a wide state with a subcomplexed Lc
75 bp that could correspond to a tetrasome or hexasome. This state could be due to the loss of one wrapped DNA turn either from the (
)-state or the (
)-state. Nevertheless, one could notice that the (
)-state is missing on the "+ATP 20 min" map (Fig. 4 b) where only a few nucleosomes have been slided (weak
-peak), whereas (
)-state nucleosomes are clearly visible in Fig. 4 c ("+ATP 1 h"). This tends to show that (
)-state nucleosomes more likely arise from the loss of one DNA turn of the end positioned nucleosome's ((
)-state).
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), and a subcomplexed state (
).
Again, more information can be gained by appropriate projections of these 2D histograms. Nucleosomes having their DNA-complexed length in the range L* ±
Lc were selected (L* and
Lc are, respectively, the maximum value and the standard deviation of the corresponding complexed length distribution), and their position distribution is plotted in Fig. 5 a. For conventional nucleosomes with SWI/SNF but no ATP, the distributions obtained for nucleosome position (Fig. 5 a) and DNA-complexed length (Fig. 5 b) are very similar to the case without any remodeling complex (Fig. 1 b), showing no effect of thermally driven diffusion of mononucleosomes reconstituted on the 601 positioning sequence in our conditions.
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L
50 bp, cf. (
)-state in Fig. 4 c). After 1 h of SWI/SNF action in the presence of ATP the second peak height has increased at the expense of the primary peak. This corresponds to the situation were one-third of the mononucleosomes are positioned at the end of the DNA template. It is interesting to note that during the remodeling factor action we do not see any significant increase in the amount of nucleosomes in an intermediate position (20 bp <
L < 40 bp). This provides experimental evidence that this remodeling factor moves centrally positioned nucleosomes directly to the end of our short DNA template.
Mainly, two situations can explain the bimodal position distribution of nucleosomes after the action of SWI/SNF. The first hypothesis is that the SWI/SNF complex is a processive molecular motor. As it will not detach from the nucleosome before it reaches the end of the DNA template, the elementary step of the SWI/SNF-induced sliding might not be accessible. Indeed, in our experimental conditions, only nucleosomes without SWI/SNF complex attached can be analyzed. The other possibility is that SWI/SNF is weakly processive (SWI/SNF turnover rate is unknown) but with an elementary step of the order of 50 bp, which corresponds to the value measured by us and other approaches (75
77
) and happens to be the length of free DNA arms in our case. Therefore, a single step would be enough for the motor to slide a nucleosome to an end position and release the complex.
Nevertheless, another mechanism cannot be excluded by our data, where SWI/SNF action would consist of octamer destabilization followed by thermally driven diffusion toward the end positioned entropically favored. In this situation, ATP-hydrolysis would only be involved in the nucleosome "destabilization" step.
In Fig. 5 b, we show projections of the previous 2D histograms along the DNA-complexed length axis without any selection on their position. For conventional nucleosomes in the presence of SWI/SNF but no ATP, the complexed length distribution is similar to the case with neither SWI/SNF nor ATP. However, the former distribution is larger due to the contribution of different nucleosome positioning. Then after 20 min, the distribution is broader (roughly twice) and shifted toward higher Lc. This might be attributed to the contributions of the different states (ß,
,
) identified in Fig. 4, b and c. The increase in the Lc mean value is likely due to the statistical weight of the overcomplexed (ß)-state.
The same sliding experiment was performed on H2A.Bbd variant nucleosomes in the absence and in the presence of ATP and analyzed through the projection of the 2D histogram Lc/
L. No significant effect of SWI/SNF complexes in the presence of ATP on the position distribution of H2A.Bbd variant nucleosomes is observed (Fig. 5 c). This corroborates previous findings using biochemical sliding assays done on 5S and 601 positioning sequences (55
). However in AFM measurements, the full position distribution is accessed directly with a resolution better than 10 bp (the size of the AFM tip). This variant nucleosome sliding assay shows the reproducibility of our experimental approach, as not only the position distribution mean value is constant during 1 h in the presence of SWI/SNF and ATP, but also the complete position distribution remains constant (Fig. 5 c). Similarly, SWI/SNF in the presence of ATP does not seem to influence the DNA-complexed length distribution of H2A.Bbd nucleosomes (Fig. 5 d).
| CONCLUSION |
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We further show that H2A.Bbd variant and conventional nucleosomes exhibit clear differences in DNA-complexed length and in their ability to be slided by SWI/SNF. Indeed, these variant nucleosomes organize less DNA on average than conventional nucleosomes and present larger opening and closing fluctuations. Moreover, the whole position distribution as well as complexed length distribution remain unchanged, showing the H2A.Bbd variant is neither displaced nor remodeled by the SWI/SNF complex.
Finally, we plotted Lc/
L as a 2D map of the nucleosome states. This representation is well suited to highlight the various nucleosome states that appear during the SWI/SNF action. For example, as a function of time, we have evidenced the formation of an overcomplexed state followed by the appearance of a slided state. More quantitative information can be obtained by appropriate projections of the 2D histograms, as for instance the bimodal position distribution induced by SWI/SNF sliding on conventional nucleosomes, suggesting two possible scenarios: a processive action of the molecular motor (no intermediate position visualized) or an elementary stepping length (
40 bp) of the size of the free DNA arms (
50 bp). The short length of DNA templates and lack of directionality in our position analysis prevent us from discriminating between these two hypotheses, and further experiments on long oriented mononucleosomes are needed to get more insight into the molecular mechanism of SWI/SNF action. The results here as well as preliminary data on longer oriented templates prove nevertheless that this extension will provide useful information on remodeling mechanisms of SWI/SNF.
A further perspective of this AFM study will be to test the effect of the flanking DNA sequences on the conformation and dynamics of 601 nucleosomes. Nevertheless, to test sequence effects, nucleosomes should be reconstituted on less positioning sequences (5S rDNA for example) or nonpositioning sequences, but this will significantly complicate the nucleosome sliding analysis as the initial position distribution of the nucleosome is expected to be broader in this case.
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| ACKNOWLEDGEMENTS |
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P.St-J. acknowledges Conseil de recherches en sciences naturelles et en génie du Canada for financial support. This work was supported by the Contrat Plan-Etat Région "Nouvelles Approches Physiques des Sciences du Vivant".
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Submitted on January 30, 2007; accepted for publication March 23, 2007.
| REFERENCES |
|---|
|
|
|---|
2. Beato, M., and K. Eisfeld. 1997. Transcription factor access to chromatin. Nucleic Acids Res. 25:35593563.
3. Becker, P. B. 2002. Nucleosome sliding: facts and fiction. EMBO J. 21:47494753.[CrossRef][Medline]
4. Henikoff, S., and K. Ahmad. 2005. Assembly of variant histones into chromatin. Annu. Rev. Cell Dev. Biol. 21:133153.[CrossRef][Medline]
5. Henikoff, S., T. Furuyama, and K. Ahmad. 2004. Histone variants, nucleosome assembly and epigenetic inheritance. Trends Genet. 20:320326.[CrossRef][Medline]
6. Strahl, B. D., and C. D. Allis. 2000. The language of covalent histone modifications. Nature. 403:4145.[CrossRef][Medline]
7. Peterson, C. L., and J. L. Workman. 2000. Promoter targeting and chromatin remodeling by the SWI/SNF complex. Curr. Opin. Genet. Dev. 10:187192.[CrossRef][Medline]
8. Travers, A. 1999. An engine for nucleosome remodeling. Cell. 96:311314.[CrossRef][Medline]
9. Tsukiyama, T., and C. Wu. 1997. Chromatin remodeling and transcription. Curr. Opin. Genet. Dev. 7:182191.[CrossRef][Medline]
10. Hamiche, A., J. G. Kang, C. Dennis, H. Xiao, and C. Wu. 2001. Histone tails modulate nucleosome mobility and regulate ATP-dependent nucleosome sliding by NURF. Proc. Natl. Acad. Sci. USA. 98:1431614321.
11. Langst, G., E. J. Bonte, D. F. Corona, and P. B. Becker. 1999. Nucleosome movement by CHRAC and ISWI without disruption or trans-displacement of the histone octamer. Cell. 97:843852.[CrossRef][Medline]
12. Lorch, Y., M. Zhang, and R. D. Kornberg. 1999. Histone octamer transfer by a chromatin-remodeling complex. Cell. 96:389392.[CrossRef][Medline]
13. Whitehouse, I., A. Flaus, B. R. Cairns, M. F. White, J. L. Workman, and T. Owen-Hughes. 1999. Nucleosome mobilization catalysed by the yeast SWI/SNF complex. Nature. 400:784787.[CrossRef][Medline]
14. Abbott, D. W., V. S. Ivanova, X. Wang, W. M. Bonner, and J. Ausio. 2001. Characterization of the stability and folding of H2A.Z chromatin particles: implications for transcriptional activation. J. Biol. Chem. 276:4194541949.
15. Angelov, D., A. Molla, P. Y. Perche, F. Hans, J. Cote, S. Khochbin, P. Bouvet, and S. Dimitrov. 2003. The histone variant macroH2A interferes with transcription factor binding and SWI/SNF nucleosome remodeling. Mol. Cell. 11:10331041.[CrossRef][Medline]
16. Bao, Y., K. Konesky, Y. J. Park, S. Rosu, P. N. Dyer, D. Rangasamy, D. J. Tremethick, P. J. Laybourn, and K. Luger. 2004. Nucleosomes containing the histone variant H2A.Bbd organize only 118 base pairs of DNA. EMBO J. 23:33143324.[CrossRef][Medline]
17. Chakravarthy, S., Y. Bao, V. A. Roberts, D. Tremethick, and K. Luger. 2004. Structural characterization of histone H2A variants. Cold Spring Harb. Symp. Quant. Biol. 69:227234.[CrossRef][Medline]
18. Fan, J. Y., D. Rangasamy, K. Luger, and D. J. Tremethick. 2004. H2A.Z alters the nucleosome surface to promote HP1alpha-mediated chromatin fiber folding. Mol. Cell. 16:655661.[CrossRef][Medline]
19. Suto, R. K., M. J. Clarkson, D. J. Tremethick, and K. Luger. 2000. Crystal structure of a nucleosome core particle containing the variant histone H2A.Z. Nat. Struct. Biol. 7:11211124.[CrossRef][Medline]
20. Ahmad, K., and S. Henikoff. 2002. Epigenetic consequences of nucleosome dynamics. Cell. 111:281284.[CrossRef][Medline]
21. Ausio, J., and D. W. Abbott. 2002. The many tales of a tail: carboxyl-terminal tail heterogeneity specializes histone H2A variants for defined chromatin function. Biochemistry. 41:59455949.[CrossRef][Medline]
22. Kamakaka, R. T., and S. Biggins. 2005. Histone variants: deviants? Genes Dev. 19:295310.
23. Sarma, K., and D. Reinberg. 2005. Histone variants meet their match. Nat. Rev. Mol. Cell Biol. 6:139149.[CrossRef][Medline]
24. Chadwick, B. P., and H. F. Willard. 2001. A novel chromatin protein, distantly related to histone H2A, is largely excluded from the inactive X chromosome. J. Cell Biol. 152:375384.
25. Doyen, C. M., F. Montel, T. Gautier, H. Menoni, C. Claudet, M. Delacour-Larose, D. Angelov, A. Hamiche, J. Bednar, C. Faivre-Moskalenko, P. Bouvet, and S. Dimitrov. 2006. Dissection of the unusual structural and functional properties of the variant H2A.Bbd nucleosome. EMBO J. 25:42344244.[CrossRef][Medline]
26. Luger, K., A. W. Mader, R. K. Richmond, D. F. Sargent, and T. J. Richmond. 1997. Crystal structure of the nucleosome core particle at 2.8 Å resolution. Nature. 389:251260.[CrossRef][Medline]
27. Polach, K. J., and J. Widom. 1999. Restriction enzymes as probes of nucleosome stability and dynamics. Methods Enzymol. 304:278298.[CrossRef][Medline]
28. Wu, C., and A. Travers. 2004. A one-pot assay for the accessibility of DNA in a nucleosome core particle. Nucleic Acids Res. 32:e122.
29. Tomschik, M., H. Zheng, K. van Holde, J. Zlatanova, and S. H. Leuba. 2005. Fast, long-range, reversible conformational fluctuations in nucleosomes revealed by single-pair fluorescence resonance energy transfer. Proc. Natl. Acad. Sci. USA. 102:32783283.
30. Toth, K., N. Brun, and J. Langowski. 2001. Trajectory of nucleosomal linker DNA studied by fluorescence resonance energy transfer. Biochemistry. 40:69216928.[CrossRef][Medline]
31. Schiessel, H. 2003. The physics of chromatin. J. Phys. Condens. Matter. 15:R699R774.[CrossRef]
32. Bishop, T. C. 2005. Molecular dynamics simulations of a nucleosome and free DNA. J. Biomol. Struct. Dyn. 22:673686.[Medline]
33. Sharma, S., F. Ding, and N. V. Dokholyan. 2007. Multiscale modeling of nucleosome dynamics. Biophys. J. 92:14571470.
34. Wedemann, G., and J. Langowski. 2002. Computer simulation of the 30-nanometer chromatin fiber. Biophys. J. 82:28472859.
35. Ruscio, J. Z., and A. Onufriev. 2006. A computational study of nucleosomal DNA flexibility. Biophys. J. 91:41214132.
36. Binnig, G., C. F. Quate, and C. Gerber. 1986. Atomic force microscope. Phys. Rev. Lett. 56:930933.[CrossRef][Medline]
37. Zlatanova, J., and S. H. Leuba. 2003. Chromatin fibers, one-at-a-time. J. Mol. Biol. 331:119.[CrossRef][Medline]
38. Ji, M., P. Hou, Z. Lu, and N. He. 2004. Covalent immobilization of DNA onto functionalized mica for atomic force microscopy. J. Nanosci. Nanotechnol. 4:580584.[CrossRef][Medline]
39. Lyubchenko, Y., L. Shlyakhtenko, R. Harrington, P. Oden, and S. Lindsay. 1993. Atomic force microscopy of long DNA: imaging in air and under water. Proc. Natl. Acad. Sci. USA. 90:21372140.
40. Lyubchenko, Y. L., P. I. Oden, D. Lampner, S. M. Lindsay, and K. A. Dunker. 1993. Atomic force microscopy of DNA and bacteriophage in air, water and propanol: the role of adhesion forces. Nucleic Acids Res. 21:11171123.
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