Abstract
Recent work indicates that twist-bend coupling plays an important role in DNA micromechanics. Here we investigate its effect on bent DNA. We provide an analytical solution of the minimum-energy shape of circular DNA, showing that twist-bend coupling induces sinusoidal twist waves. This solution is in excellent agreement with both coarse-grained simulations of minicircles and nucleosomal DNA data, which is bent and wrapped around histone proteins in a superhelical conformation. Our analysis shows that the observed twist oscillation in nucleosomal DNA, so far attributed to the interaction with the histone proteins, is an intrinsic feature of free bent DNA, and should be observable in other protein-DNA complexes.
Introduction –
Elastic models of DNA have been a key tool for understanding the response of the double helix to applied stresses [1]. Such stresses are ubiquitous in cells, where DNA is continuously being bent and twisted. For instance, in eukaryotes about 75% of the DNA is wrapped around cylindrically-shaped octamers of histone proteins [2]. The 147 base pairs (bp) of wrapped DNA sequence and the histone form the nucleosome, which represents the lowest level of chromosomal organization.
At length scales of a few nanometers the behavior of DNA can be modeled by a homogeneous elastic rod, with stiffness constants associated with the different types of mechanical deformations [3–6]. The simplest such model is the twistable wormlike chain (TWLC), which treats bending and twist as independent deformations. However, symmetry analysis of the right-handed, oppositely-directed-backbone double helix indicates that there must be a coupling of bending to twisting [7]. This can be understood as a consequence of the asymmetry between the major and minor grooves of the double helix. Only a few prior works have considered twist-bend coupling [8–15], and its effect on equilibrium and dynamics of DNA remain largely unexplored.
Here we investigate the effect of twist-bend coupling on free DNA minicircles and compare their shapes with X-ray crystallographic structures of nucleosomal DNA (DNA wrapped around histones). We present an analytical solution of the minimal energy configuration of free minicircles which shows that twist-bend coupling induces sinusoidal twist waves coupled to bending waves. The results are in excellent agreement with molecular dynamics simulations of two different coarse-grained DNA models [16]: one with symmetric grooves and one with grooves of unequal widths. Only in the latter twist waves are observed, in agreement with the symmetry argument of Ref. [7]. The nucleosomal DNA shape obtained from averaging 145 available crystal structures displays twist waves quantitatively matching the predictions of our simple theory for free DNA. While several studies in the past analyzed oscillations in twist in nucleosomal DNA, this was usually attributed to interations with the underlying histone proteins [2]. Our work shows that twist waves are a general feature of bent DNA and that similar results should be observable for other protein-DNA complexes.
Theory and Energy Minimization –
Following prior work [7], we describe the double helix centerline using a space curve in arc-length parameterization, with coordinate s running from 0 to the total DNA length L; we thus treat the double helix as inextensible, which turns out to be appropriate for our purposes. Along the curve we define an orthonormal triad {ê1(s), ê2(s), ê3(s)} where ê3 is tangent to the curve, while ê1 and ê2 lie on the plane of the planar Watson-Crick base pairs [7], with ê1 directed along the symmetry axis of the two grooves, pointing in the direction of the major groove. Orthogonality then determines ê2 = ê3 × ê1(see Fig. 1).
The three-dimensional shape of the space curve fully described by 3-vector unit vectors field Ω that rotates the local unit vectors,
1 |
where the index i runs over the three spatial directions, and where ω0 is the intrinsic twist-density of the double helix. As is familiar from mechanics, the rotation vector Ω(s) + ω0ê3 relates the triad at s + ds to that at s. The three components of Ω(s) along the triad axis are Ωi(s) ≡ Ω· êi(s). Ω1 and Ω2 are bending densities (corresponding to the “tilt” and “roll” deformations, respectively, of the DNA literature), with the usual curvature of the backbone given by is the twist density, or, more precisely, the “excess” twist over that of the double helix ground state, ω0.
Assuming the ground state to be a straight configuration with constant twist density ω0, one can interpret Ω as a strain-field associated with a free energy density. Taking the symmetries of the double helix into account, the deformation free energy to second order in Ω is [7]
2 |
where β = 1/kBT is the inverse temperature, and A1, A2, C and G are the stiffness parameters. Equation (2) is characterized by a twist-bend coupling term connecting a bending deformation towards the DNA groove (Ω2) to a twist deformation (Ω3). G denotes the twist-bend coupling constant, without which (G = 0) one recovers the TWLC.
We investigate the lowest-energy configuration of a circularly-bent DNA molecule, a constraint which can be mathematically imposed by appropriate Lagrange multipliers. This is usually performed by parametrizing Ωi in a lab frame using Euler angles (see e.g. Refs. [17, 18]), and numerically solving the corresponding Euler-Lagrange equations. We will instead introduce an approximation, which will allow us to work in the material frame using the Ω’s as minimization variables, and perform the minimization analytically.
One might be tempted to fix the curvature using a Lagrange multiplier, but this leads to a helical solution, rather than a closed configuration [19]. This is a consequence of the bending anisotropy (A1 ≠ A2), together with the fact that the plane on which the bending takes place is not restricted. Instead, we seek to impose bending on a plane, as e.g. illustrated in Fig. 1 (left). The bending component of a local deformation is described by the vector Ωb ≡ Ω1ê1 + Ω2ê2. Enforcing bending along a fixed plane, as for instance the plane orthogonal to a vector is equivalent to requiring Ωb to be parallel to . The term provides a constraint, with μ Lagrange multiplier. This can be rewritten in the following form
where we have assumed that lies on the plane spanned by ê1 and ê2, and that ϕ is the angle formed between ê1 and ê2 (see Fig. 1). For a straight DNA lying on the plane orthogonal to we have ϕ(s) = ω0s. If within one helical turn bending is relatively weak (i.e. κ ≪ ω0), we can approximate with the energy minimization then leading to the simple result
4 |
with μ ≡ lb/R, where R is the average radius of curvature and lb the bending persistence length of the model (2)[14]. The Supplemental Material [19] discusses the details of the calculations and alternative approaches [20].
The equations (4) describe a curve with small off-planar periodic fluctuations appearing in the form of standing waves in bending and twist. A non-vanishing G is essential for the emergence of twist waves [21]. Although our minimization is not exact, as it is performed under a fixed “background” ϕ(s), simulations of DNA minicircles of radii ≈ 5 nm (see below, [19]) are in excellent agreement with Eq. (4). In an alternative approach [19] one can obtain twist-waves using a systematic perturbation scheme in powers of κ/ω0, similar to that of Ref. [7]; this parameter is κ/ω0 ≈ (1/5)/1.75 ≈ 0.11 for a DNA minicircle radius 5 nm, justifying our approximation [19].
Coarse-grained DNA simulations –
We have performed computer simulations of minicircles with oxDNA, a coarse-grained DNA model in which the double helix is composed of two intertwined strings of rigid nucleotides, held together by non-covalent interactions [16, 23]. Base-pairing together with all other interactions are homogeneous, i.e. sequence-dependent effects are neglected. Various aspects of the mechanics of DNA minicircles, such as kinking, melting and supercoiling, have been discussed in the literature using oxDNA, other coarse-grained models or all-atom simulations [18, 24–27]. Here we focus on the ground-state shape of homogeneous minicircles, and in particular on circular molecules of 85 base pairs (bp), or about 29 nm in length (see Fig. 1). With this choice of length the two ends of the molecule can be joined together without introducing an excess linking number. In addition, the radius of the circles R = 4.6 nm is close to that of nucleosomal DNA (R = 4.2 nm) which will be analyzed later. Two versions of oxDNA were used, see Fig. 2(a,b). In the first version (oxDNA1) the helical grooves have equal width [16], while in the second version (oxDNA2) the grooves are asymmetric, as in real DNA [23]. More details on simulations can be found in Supplemental Material [19].
Figure 3(a) shows a comparison between oxDNA1 and oxDNA2 simulations (dashed and solid lines, respectively), in which the Ωi are plotted as a function of the base-pair phase angle ϕ. The latter was obtained from a Fourier analysis of simulation data: a discrete Fourier transform provides a dominant frequency ω0 and a global phase . From these the local phase of each individual base pair was obtained as , with the index n = 0, 1 … 84 labeling the base pairs along the circle, and a = 0.34 nm being the base pair separation. The smooth curves of Fig. 3(a) are obtained by binning the data in ϕ and averaging Ωi within each bin. A key result of Fig. 3(a) is the clear difference in the behavior of Ω3 between the model with symmetric grooves (oxDNA1, dashed lines) and that with asymmetric grooves (oxDNA2, solid lines). The emergent twist waves are associated with the twist-bend coupling interaction [G ≠ 0 in Eqs. (4)], which arises from the groove asymmetry of DNA [7]. In the unrealistic case of equal major and minor grooves, one expects G = 0, as we indeed observe for oxDNA1. In general, the Ωi calculated from oxDNA closely follow the predictions of Eqs. (4). For a quantitative comparison see Supplemental Material [19].
Nucleosomal DNA –
We now turn to the analysis of nucleosomal DNA, which is highly bent around histones, forming a superhelix of radius 4.19 nm and pitch 2.59 nm (for a recent review see e.g. Ref. [2]). The length of the wrapped DNA is 147 bp, corresponding to 1.67 super-helical turns. High-resolution structural crystallographic data for DNA wrapped around histone proteins in nucleosomes is available (we note the seminal work of this type in Ref. [28]). Oscillations in tilt (Ω1), roll (Ω2) and twist (Ω3) were found in early analyses of crystal-lographic data, and were attributed to histone protein-DNA interactions [28]. Since the publication of the first high-resolution nucleosome data [28], many crystal structures have been determined with different wrapping sequences and various DNA or protein modifications (e.g. methylation and phosphorilation). Here we focus on the average shape of nucleosomal DNA, which can be obtained by averaging over different available structures. Nucleosomal DNA forms a superhelix and not a close circle. Nonetheless, Eqs. (4) are expected to approximate well its shape, as the superhelical pitch is small compared to the intrinsic double-helix twist (details in Supplemental Material [19], see also Ref. [12]).
Figure 3(b) shows a plot of average Ωi vs. ϕ, extracted from the analysis of 145 crystal structures from the Protein Data Bank (PDB [29]), using the conformational analysis software Curves+ [22]. The phase ϕ is calculated from the discrete Fourier analysis, similarly to the oxDNA data of Fig. 3(a). From the analysis of crystal structures we find that in nucleosomal DNA Ω2 and Ω3 have a strong oscillatory behavior for all sequences and are in antiphase as predicted by Eqs. (4). The average of Ω1 over all crystallographic data results in a structureless, highly-noisy signal (thin lines, top of Fig. 3(b)). However, a subset of data (24 PDB entries out of the 145 analyzed) show oscillations in Ω1, detectable from a dominant peak in the Fourier spectrum corresponding to a frequency ≈ ω0. The average of this oscillating sub-set is a sinusoidal wave, as expected from Eq. (4). The lack of a clear oscillatory signal may be due to sequence-specific effects and low signal-to-noise ratio, masking the expected behavior.
There is a reasonable quantitative agreement in the wave amplitudes between oxDNA simulations and nucleosome data, as seen by comparing the vertical scales of Fig. 3(a) and (b). According to Eqs. (4) the wave amplitudes depend on the value of the elastic constants, which may be somewhat different between real DNA and oxDNA. Nucleosomal DNA has a larger amplitude in Ω2 and smaller in Ω1 than oxDNA. As shown in Supplemental Material [19], from Eqs. (4) it follows that max {Ω1} + max{Ω2}= 2/R, a geometric stiffness-independent constant, R being the radius of curvature. Using this relation we find R = 4.7 nm both for oxDNA1 and oxDNA2, which agrees with the expected radius R = 85a/2π = 4.6 nm for a 85-bp minicircle. For the nucleosome, we obtain R = 4.5 nm, which, considering the large uncertainty on Ω1, is reasonably close to the known nucleosomal-DNA radius R = 4.2 nm. While the sum of the amplitudes Ω1 and Ω2 is constrained by the geometry, this is not the case for Ω3. Its amplitude is larger for the nucleosomal data (Fig. 3(b)) than for oxDNA2 (Fig. 3(a)), suggesting that oxDNA2 has a twist-bend coupling constant lower than that of real DNA, in agreement with a previous analysis [15]. From the ratio between the amplitudes of Ω3 and Ω2 in Fig. 3(b) and Eq. (4) we estimate G/C ≈ 0.46. Recent analysis [14] of single-DNA magnetic tweezers experiments on 7.9 kbp DNA molecules estimated G = 40(10) nm and C = 110(5) nm, which would yield G/C = 0.36(09). Although these two ratios are consistent, some caution is required in their comparison. Simulations have shown that elastic constants for deformations at the base-pair level, relevant for the nucleosome, are generally smaller than asymptotic stiffnesses which are obtained for segments of 10–20 base-pairs, relevant for the tweezers data [15].
Elastic rod models have been used in the past to investigate various features of nucleosomes [12, 30–35]. In particular, the structure of nucleosomal DNA has been addressed [12] using a model including, besides twist-bend coupling, a stretching modulus and twist-stretch coupling. The elastic energy was minimized while keeping the twist density fixed to the experimentally determined values of Ref. [28], in order to mimic the interaction of DNA with the histone-proteins. In Ref. [35] minimization of a sequence dependent model was performed, while fixing the base pair orientation in 14 known DNA-histones interaction sites [36]. While partially-constraining the conformation of the nucleosomal DNA along the sequence allows for sharper predictions about its local and sequence-dependent behavior, it may obscure some global features. In particular, our work shows that twist oscillations are an intrinsic feature of bent DNA, rather than an explicit consequence of DNA-protein interactions.
Conclusion –
Summarizing, we have shown that in a coarse-grained model of DNA with asymmetric grooves a bending deformation induces an oscillating excess twist having the form of a standing wave. We devised an approximated energy-minimization scheme, which provides analytical predictions for the shape of bending and twist waves. These are in excellent agreement with the numerical simulations, and show that the induced twist waves have a spatial frequency ω0, the intrinsic DNA twist-density, and an amplitude which is governed by the radius of curvature and the DNA elastic constants. We also showed that crystallographic X-ray nucleosomal DNA data match our prediction of bend-induced twist waves. In nucleosomes, oscillations in DNA twist and bending are usually attributed to the DNA-protein interactions [28], but our work shows that twist waves are general features of bent DNA. We expect that the same kind of correlation will be observed in other protein-DNA complexes, since twist-bend coupling is a fundamental physical property of the double helix.
Supplementary Material
Acknowledgments
ES acknowledges financial support from KU Leuven Grant No. IDO/12/08, and SN from the Research Funds Flanders (FWO Vlaanderen) grant VITO-FWO11.59.71.7N. JM acknowledges financial support from the Francqui Foundation (Belgium), and from the US NIH through Grants R01-GM105847, U54-CA193419 and U54-DK107980.
References
- [1].Marko JF, Physica A 418, 126 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
- [2].Eslami-Mossallam B, Schiessel H, and van Noort J, Adv. Colloid Interface Sci 232, 101 (2016). [DOI] [PubMed] [Google Scholar]
- [3].Bustamante C, Marko JF, Siggia ED, and Smith S, Science 265, 1599 (1994). [DOI] [PubMed] [Google Scholar]
- [4].Marko JF and Siggia ED, Macromolecules 28, 8759 (1995). [Google Scholar]
- [5].Strick T, Allemand J-F, Bensimon D, Bensimon A, and Croquette V, Science 271, 1835 (1996). [DOI] [PubMed] [Google Scholar]
- [6].Moroz JD and Nelson P, Macromolecules 31, 6333 (1998). [Google Scholar]
- [7].Marko JF and Siggia ED, Macromolecules 27, 981 (1994). [Google Scholar]
- [8].Olson WK, Gorin AA, Lu X-J, Hock LM, and Zhurkin VB, Proc. Natl. Acad. Sci. USA 95, 11163 (1998). [DOI] [PMC free article] [PubMed] [Google Scholar]
- [9].Lankaš F, Šponer J, Langowski J, and Cheatham TE, Biophys J. 85, 2872 (2003). [DOI] [PMC free article] [PubMed] [Google Scholar]
- [10].Coleman BD, Olson WK, and Swigon D, J. Chem. Phys 118, 7127 (2003). [Google Scholar]
- [11].Olson WK, Swigon D, and Coleman BD, Philos. Trans. A Math. Phys. Eng. Sci 362, 1403 (2004). [DOI] [PubMed] [Google Scholar]
- [12].Mohammad-Rafiee F and Golestanian R, Phys. Rev. Lett 94, 238102 (2005). [DOI] [PubMed] [Google Scholar]
- [13].Dršata T, Špačková N, Jurečka P, Zgarbová M,Šponer J, and Lankaš F, Nucl. Acids Res 42, 7383 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
- [14].Nomidis SK, Kriegel F, Vanderlinden W, Lipfert J, and Carlon E, Phys. Rev. Lett 118, 217801 (2017). [DOI] [PubMed] [Google Scholar]
- [15].Skoruppa E, Laleman M, Nomidis SK, and Carlon E,J. Chem. Phys 146, 214902 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
- [16].Ouldridge TE, Louis AA, and Doye JPK, Phys. Rev. Lett 104, 178101 (2010). [DOI] [PubMed] [Google Scholar]
- [17].Balaeff A, Mahadevan L, and Schulten K, Phys. Rev. Lett 83, 4900 (1999). [Google Scholar]
- [18].Norouzi D, Mohammad-Rafiee F, and Golestanian R, Phys. Rev. Lett 101, 168103 (2008). [DOI] [PubMed] [Google Scholar]
- [19].See Supplemental Material at https://journals.aps.org/prl/supplemental/10.1103/PhysRevLett.121.088101/supplemental.pdf, which contains references [37, 38], for more details of the calculations and analysis of the histone-DNA crystal structures.
- [20].Mohammad-Rafiee F and Golestanian R, J. Phys.: Cond. Matt 17, S1165 (2005). [Google Scholar]
- [21].Ref. [11] (based upon the theory developed in [10]) analyzes tightly circularly bent DNA numerically, for a model that includes twist-bend coupling of precisely the form introduced in [7]. In accord with analytical predictions of [7], the numerical results of [11] for a homogeneous DNA model display twist waves (see Fig. 3, lower panel). However, [11] does not discuss the correlation between local bending and twisting as a generic feature of all DNA sequences, nor does it analyze tight DNA bending and twist waves in experimental data from nucleosome crystal structures (Fig. 3 of this paper).
- [22].Lavery R, Moakher M, Maddocks JH, Petkeviciute D, and Zakrzewska K, Nucl. Acids Res 37, 5917 (2009). [DOI] [PMC free article] [PubMed] [Google Scholar]
- [23].Snodin BE, Randisi F, Mosayebi M, Šulc P, Schreck JS, Romano F, Ouldridge TE, Tsukanov R,Nir E, and Louis AA, J. Chem. Phys 142, 234901 (2015). [DOI] [PubMed] [Google Scholar]
- [24].Amzallag A, Vaillant C, Jacob M, Unser M, Bednar J, Kahn JD, Dubochet J, Stasiak A, and Maddocks JH, Nucl. Acids Res 34, e125 (2006). [DOI] [PMC free article] [PubMed] [Google Scholar]
- [25].Fogg JM, Kolmakova N, Rees I, Magonov S,Hansma H, Perona JJ, and Zechiedrich EL, J. Phys.: Cond. Matt 18, S145 (2006). [DOI] [PMC free article] [PubMed] [Google Scholar]
- [26].Lankas F, Lavery R, and Maddocks JH, Structure 14, 15271534 (2006). [DOI] [PubMed] [Google Scholar]
- [27].Sutthibutpong T, Matek C, Benham C, Slade GG,Noy A, Laughton C, Doye JPK, Louis AA, and Harris SA, Nucl. Acids Res 44, 9121 (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]
- [28].Richmond TJ and Davey CA, Nature 423, 145 (2003). [DOI] [PubMed] [Google Scholar]
- [29].Berman HM, Westbrook J, Feng Z, Gilliland G, Bhat TN, Weissig H, Shindyalov IN, and Bourne PE, Nucl. Acids Res 28, 235 (2000). [DOI] [PMC free article] [PubMed] [Google Scholar]
- [30].Tolstorukov MY, Colasanti AV, McCandlish DM,Olson WK, and Zhurkin VB, J. Mol. Biology 371, 725 (2007). [DOI] [PMC free article] [PubMed] [Google Scholar]
- [31].Vaillant C, Audit B, and Arneodo A, Phys. Rev. Lett 99, 218103 (2007). [DOI] [PubMed] [Google Scholar]
- [32].Morozov AV, Fortney K, Gaykalova DA, Studitsky VM, Widom J, and Siggia ED, Nucl. Acids Res 37, 4707 (2009). [DOI] [PMC free article] [PubMed] [Google Scholar]
- [33].Becker NB and Everaers R, Structure 17, 579 (2009). [DOI] [PubMed] [Google Scholar]
- [34].Freeman GS, Lequieu JP, Hinckley DM, Whitmer JK, and de Pablo JJ, Phys. Rev. Lett 113, 168101 (2014). [DOI] [PubMed] [Google Scholar]
- [35].Norouzi D and Mohammad-Rafiee F, J. Biomol. Struct. Dyn 32, 104 (2014). [DOI] [PubMed] [Google Scholar]
- [36].Hall MA, Shundrovsky A, Bai L, Fulbright RM,Lis JT, and Wang MD, Nat. Struct. Mol. Biol 16, 124 (2009). [DOI] [PMC free article] [PubMed] [Google Scholar]
- [37].Šulc P, Romano F, Ouldridge TE, Rovigatti L,Doye JPK, and Louis AA, J. Chem. Phys 137, 135101 (2012). [DOI] [PubMed] [Google Scholar]
- [38].Frouws TD, Barth PD, and Richmond TJ, J. Mol. Biol 430, 45 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.