Two-Phase Dynamics of DNA Supercoiling based on DNA Polymer Physics
Abstract
DNA supercoils are generated in genome regulation processes such as transcription and replication, and provide mechanical feedback to such processes. Under tension, DNA supercoil can present a coexistence state of plectonemic (P) and stretched (S) phases. Experiments have revealed the dynamic behaviors of plectoneme, e.g. diffusion, nucleation and hopping. To represent these dynamics with computational changes, we demonstrated first the fast dynamics on the DNA to reach torque equilibrium within the P and S phases, and then identified the two-phase boundaries as collective slow variables to describe the essential dynamics. According to the time scale separation demonstrated here, we accordingly developed a two-phase model on the dynamics of DNA supercoiling, which can capture physiologically relevant events across time scales of several orders of magnitudes. In this model, we systematically characterized the slow dynamics between the two phases, and compared the numerical results with that from the DNA polymer physics-based worm-like chain model. The supercoiling dynamics, including the nucleation, diffusion, and hopping of plectoneme, have been well represented and reproduced, using the two-phase dynamic model, at trivial computational costs. Our current developments, therefore, can be implemented to explore multi-scale physical mechanisms of the DNA supercoiling-dependent physiological processes.
INTRODUCTION
Supercoiling is ubiquitous in cellular DNA, which results from the topology of double-helical DNA Bates et al. (2005); Fuller (1971); Koster et al. (2010); Lavelle (2014). For eukaryotic DNA, the large structural domains ( M) emerge in the genome as the topologically associating domains (TADs)Dixon et al. (2012); Glinsky (2015); Stadhouders et al. (2019), which are further divided into smaller supercoiling domains()Naughton et al. (2013); Gilbert and Allan (2014); Corless and Gilbert (2016). For the prokaryotic DNA, comparatively large structural domains and smaller supercoiling domains also present (e.g., . with an average domain size, ) Postow et al. (2004); Gilbert and Allan (2014). Supercoils are generated in many crucial genetic processes and in turn regulates corresponding processes, including transcription, replication and genome condensationLiu and Wang (1987); Ma et al. (2013); Chong et al. (2014); Bates et al. (2005); Burnier et al. (2008); Schvartzman et al. (2013); Hirano (2000); Strick et al. (2004). During transcription elongation, a RNA polymerase (RNAP) moves along the helical DNA and generates twists, which subsequently create positive supercoiling ahead of the RNAP or downstream along the transcription direction and negative supercoiling behind or upstreamLiu and Wang (1987). The accumulation of the torsional stress can slow down or even stall the transcription elongationMa et al. (2013); Chong et al. (2014). Recent experiments show long-distance cooperative and antagonistic dynamics of multiple RNAPs via supercoilingKim et al. (2019), which justify the role of supercoiling as a long-range mediatorTeves and Henikoff (2014). A previous modeling study pointed out that multiple RNAPs facilitate elongation by reducing collisions or traffic jam by torquesTantale et al. (2016); and another model suggested that multiple RNAPs also induce strong supercoiling to bring significant transcription fluctuationsJing et al. (2018). In addition, supercoiling contributes to the chromosome condensationHirano (2000); Strick et al. (2004), during which the negative supercoils accumulate in the protein-free region of the DNA Kimura and Hirano (1997). Under tension, the accumulative supercoiling presents twisted and interwound coils called plectonemes, which may act as a driving force for compacting the chromatin fiberKimura and Hirano (1997); Swedlow and Hirano (2003).
Supercoil can be partitioned into two parts, twist and writhe, which play distinct roles in genomic processesSeol and Neuman (2016). Underwound DNA (with negative twists) can melt the secondary structures of DNA that can attract regulatory proteinsMa and Wang (2014a, b); Seol and Neuman (2016). In contrast, overwound DNA (with positive twists) can hinder enzymatic activities associated with opening of the DNA duplex, such as in transcription initiation and elongation by RNAPMa et al. (2013); Chong et al. (2014). On the other hand, writhe characterizes spatial crossings of DNA segmentsFuller (1971, 1978), accordingly facilitating distant interactions on DNAParker and Halford (1991); Liu et al. (2001); Huang et al. (2001); Polikanov et al. (2007). Writhe can be in a solenoidal or a plectonemic form, or a combination of both. Under an externally stretching force, supercoiled DNA can present a coexistence state of bothMarko (1997a); Strick et al. (1999); Ghatak and Mahadevan (2005); Marko (2007), in which the plectonemic coils form the plectonemic (P) phase, while the solenoidal coils are almost straightly stretched, forming the stretched (S) phaseMarko (2007); Forte et al. (2019).
DNA supercoiling has been quantitatively studied with single-molecule techniquesMarko and Siggia (1994); Bustamante et al. (1994); Strick et al. (1996, 1998, 1999); Bustamante et al. (2000); Strick et al. (2000); Koster et al. (2005); van Loenhout et al. (2012); Bustamante et al. (2003). The extension-twist curves from experiments reveal a coupling between supercoiling (linking number) and DNA extension under stretching forceMarko and Siggia (1994); Bustamante et al. (1994); Strick et al. (1996). The discontinuities on torque and extension versus linking number were also observed in experimentForth et al. (2008). Experiments with a magnetic tweezers pulling a fluorescently labeled DNA have directly imaged the coexistence phase, and remarkably, measured the time-dependent supercoiling dynamics, e.g., plectoneme diffusion, nucleation and hoppingvan Loenhout et al. (2012). The propagation of plectoneme along DNA via diffusion presents conformational rearrangement of DNA at about hundreds bps per second. The hopping happens comparatively fast and a fastest one observed takes tens of milliseconds for a displacement of thousands of bpsvan Loenhout et al. (2012). The surviving time of the individual plectoneme from nucleation to vanishing, i.e., the plectoneme life-time, spans from milliseconds to several seconds.
In accompany with the experiments, theoretical studies of DNA supercoiling have been developed based on the worm-like chain (WLC) modelMarko and Siggia (1995a, b); Moroz and Nelson (1997); Marko (2007); Phillips et al. (2009). The statistical mechanics of the WLC model of DNA provides a description of the coupling between supercoiling and DNA extensionMoroz and Nelson (1997); Marko (1998), and reveals the pre-plectonemic loops formed by bending DNA, i.e., buckling transitionDaniels and Sethna (2011), which give rise to the discontinuities on torque and extension versus linking number curvesMarko and Neukirch (2012); Emanuel et al. (2013). Further, studies show that under a stretching force, the coexistence of the S and P phases is maintained under a coexistence torque that is a function of the stretching forceMarko (2007).
Nevertheless, the related analytic theories concern mostly the equilibrium and static behaviors, without elucidating the time-dependent dynamic processes. The experiments suggest that the dynamics of plectonemes essentially covers multiple orders of timescalesvan Loenhout et al. (2012). In this study, we focus on building a model to describe these dynamic processes across the time scales.
Apart from the analytic theories, computational simulations and numerical methods have offered effective ways to probe supercoiling dynamics. Atomistic molecular dynamics (MD) simulations offer the finest details of such dynamics. For example, MD simulations of DNA mini-circles ( ) reveal writhe fluctuation and configuration diversityMitchell and Harris (2013); Mitchell et al. (2011); Irobalieva et al. (2015). To improve computational efficiency, a coarse-grained model that treats nucleotides as beads with three interaction sites, called oxDNA, was developedMatek et al. (2015). Furthermore, by unitizing MD and the coarse-grained simulations, the multi-scale dynamics of supercoiling have been studiedSutthibutpong et al. (2016); Hirsh et al. (2013a). Nevertheless, computational costs of these models are high and the simulation time scales are limited by microsecondsDans et al. (2016). The models without considering DNA sequence structure are capable of exceeding such a limit. An elasto-dynamic model (i.e., the Kircholff rod), for example, has been developed, by which DNA is characterized in terms of a continuum rod while omitting thermal fluctuationsGoyal et al. (2005). The corresponding applications were carried out on supercoil removalLillian et al. (2011), and on compressed DNA inside bacteriophage cavity to allow DNA ejectionHirsh et al. (2013b). In particular, for a representative polymer physics model, the numerical approach of the WLC model, i.e., the discrete worm-like chain (dWLC) method, has been widely implemented in simulating DNA with the thermal fluctuations incorporatedVologodskii (2006). For example, the Monte Carlo (MC) simulations of the WLC model have been used in describing DNA thermodynamics, conformation and site juxtapositionVologodskii et al. (1992); Klenin et al. (1991); Polikanov et al. (2007). The Brownian dynamics (BD) simulations, on the other hand, have been applied more widely in studying supercoilingVologodskii (2006); Klenin et al. (1998). Such type of studies successfully show the plectoneme diffusionBell et al. (2012), supercoiling conformations Vologodskii et al. (1992); Babamohammadi and Lillian (2020), buckling transitionDaniels and Sethna (2011); Walker et al. (2018); Ott et al. (2020), modeling a DNA wrapped around a model histoneWocjan et al. (2009), and supercoil removal by nickingIvenso and Lillian (2016). Besides, other semi-flexible polymer models with Lennard-Jones potential have also been utilized to investigate the mechanism for supercoiling by rotating the endsWada and Netz (2009), or using interwoven and braided polymers to produce plectonemesForte et al. (2019).
The computational costs of the above models are still quite significant for studying the plectoneme dynamics. For example, by employing the dWLC method, simulating the plectoneme dynamics over a second requires weeks of CPU timeIvenso and Lillian (2016); Ott et al. (2020). In this study, we developed a two-phase (S and P phases) dynamic model of DNA supercoiling at trivial computational cost based on the WLC polymer physics model of DNA. In solvent, supercoiled DNA experiences frictional forces on the two phases and the energy gradient that drives the transformation between the S and P phases. Thus the first thing is to identify the fast dynamics comparing to the phase-transformation and possibly integratae them out to reduce the degrees of freedomFasnacht et al. (2004); Zhang and Ma (2010). Here we demonstrate first the dynamics and timescales of the torque transport within S and P phases that define the fast dynamics. Then we choose interphase boundaries as the slow dynamic observables and obtain the associated energetics. Subsequently, we derive the Langevin dynamics of the slow observables. As a result, this implies that DNA supercoil can fast propagate as twist (torque) and slowly propagate as writhe (or plectonemes) along DNA. For calibration and consistency check, we compare the numerical results of the two-phase dynamic model with those from the dWLC method. For applications, we reproduce the supercoil dynamics on plectoneme diffusion, nucleation and vanishing as being measured experimentally, as well as the force/ionic strength-dependent dynamics. Finally, plectoneme hopping and the associated energetics transformations between the two phases are monitored.
RESULTS
Here, we study dynamics of the DNA supercoiling and build a two-phase dynamic model with a focus on DNA of to . Such sizes of DNAs are widely used in the single-molecule experimentsCrut et al. (2007); van Loenhout et al. (2012); Ma et al. (2013). DNAs shorter than several hundreds bps hardly bend to form a stable plectonmic helix; for DNAs longer than , however, the supercoiling domain may emerge and take overDixon et al. (2012); Glinsky (2015).
Fast torsional equilibrium on the stretched (S) and plectonemic (P) phases
In this section, we describe the dynamics of torque transport reaching to equilibrium within the S and P phases, and show that such dynamics are fast comparing to the transformation between the two phases.
Torque transport on stretched DNA or S phase
We study the dynamics of torque propagation on supercoiled DNA based on the WLC model numerically, i.e., via an implementation of the dWLC method (see Text S1 in the Supporting Material).
In the WLC model, harmonic potentials are used in representing the elasticities of DNABates et al. (2005); Marko and Siggia (1995b); Klenin et al. (1998). The twist energy density is defined as
(A1) |
where is the Boltzmann constant, is the room temperature, is the torsional persistence length, i.e., , is the twist on the segment . We introduce an internal torque as a measure of torsional stress on DNA, (Torque is proportional to twist). Based on the elastic properties of DNA, the torque transport along DNA can be written as (see Text S2),
(A2) |
where drag coefficient for a rotational cylinder , and the radius of DNA and the viscosity . A solution to Eq A2 can be seen in Text S2. The characteristic time for torque equilibrium time can be reached at (about 0.1 for ) (Text S2), independent of stretching force, torque and linking number. For example, a twist pulse starting at one end of the stretched DNA or S phase will spread over within and within . Compared with the dynamics of plectoneme of that happens at the time scale from to , e.g. diffusion and hopping, the torque transport within the S phase is fast.






Fig.1 shows the scheme for simulating the torque transport on a stretched DNA using the dWLC method. Under a constant stretching force , DNA is twisted by an external torque starting at ( at ). After that, the torque is kept constant and the torsional response of DNA is monitored.
The measurements of the mean internal torque of DNA at lengths of 1500 and 3000 are shown in Fig. 1. After being initially twisted, the mean internal torque, , reaches to equilibrium (9 ) at about for 1500 and about for 3000 , consistent with the torque equilibrium time .
Supercoiling can be quantified by the excess linking number or the linking number density (see Text S3). The free energy density of a stretched DNA is, (Text S4), including the contributions from torsion and force stretchingMarko (1998, 2007), where stands for the torsional stiffness, which is a function of , and (, the DNA persistence length), is the equilibrium linking number density of the stretched phase, and is the free energy density without torsion, representing the stretching of the WLCMarko and Siggia (1995a). At equilibrium, the torque is defined as Marko (2007), where the constant is the rotation angle of the DNA backbone per unit lengthBates et al. (2005); Marko (2007). Thus, we have
(A3) |
We accordingly measure the excess linking number density of the stretched DNA as shown in Fig. 1. reaches to the equilibrium value at 0.03 for 1500 and 0.1 for 3000 .
Torque transport on plectoneme
A plectoneme can be considered as a pair of rods anti-parallel interwound around each other under an external torqueRybenkov et al. (1997); Marko (2007). Thus, an empirical form of the energy of the plectonemeKlenin et al. (1991); Rybenkov et al. (1997); Marko (2007) can be utilized,
(A4) |
where is the torsional stiffness of plectoneme, and is the torsional persistence length of the plectonemic helix, depending on the ionic strength and often taking value of 21 to 27 Rybenkov et al. (1997), and is the excess linking number density of the plectonemes. The internal toque is defined similarly as that of the stretched DNA, i.e., . Nevertheless, torque transport on plectoneme can not be described as the twist angle propagation on DNA. That is because that the change of twist of the plectomeical helix also influences the writhe, and in turn the writhe change feeds back to the twist propagation. We introduce a plectonemic angle (see Fig. S1), similar to , as . Thus we consider the torque transport on plectoneme as the propagation of the plectonemical angle, i.e.,
(A5) |
where is the drag coefficient due to motions of the two parallel rods and the radius of plectonemesNeukirch and Marko (2011); van Loenhout et al. (2012), about 2.5 nm. The time for torque equilibrium on plectoneme with contour length can be calculated as , about times comparing to that on the stretched DNA. i.e, about 0.26 for torque equilibrium for 3000 .
Fig. 1 illustrates the setup of torque transport on a pure plectoneme, which is originally maintained by a pre-existing external torque (). Then the external torque jumps to at , and the ensuing torsional response of the plectoneme is monitored.
The measurements of the internal torque of plectonemes at lengths of 1500 and 3000 are shown in Fig. 1. Following the torque jumping at , the mean internal torques, rises from to at about 0.1 and 0.3 for 1500 and 3000, respectively, as estimated above.
In equilibrium, Eq. A4 becomes . The equilibrium torque is defined as . Thus
(A6) |
We also numerically measure the excess linking number density of the plectoneme as shown in Fig. 1. As Eq A6 suggests, at , where . Then follows the external torque jumping. Subsequently, reaches a new equilibrium defined by at about ms for 1500 and 0.3 ms for 3000 .
The torque equilibrium (Eqs A3 and A6) can be applied to the coexistence state of S and P phases. The interphase torque equilibrium means the equilibrium at the phase-boundaries, i.e., . Next, we show that the phase boundaries can be chosen as the slow observables to quantify the plectoneme dynamics.
Two-phase dynamics of DNA supercoiling
We have demonstrated the comparatively fast dynamics of torque to reach equilibrium within the S and P phases, respectively. The fast dynamics can then be averaged out within the two phases. We show below that the energy gradients at the phase-boundaries drive the transformation between the two phases and thus establish a two-phase dynamic model for describing the DNA supercoiling.
Multiple plectonemes have been observed in the extended DNA supercoil in experimentvan Loenhout et al. (2012). The dynamics of the plectonemes can be described by the boundaries between the S and P phases. We therefore label the plectonemes from the fixed end to the stretching end with . Without loss of generality, we only focus on the -th plectoneme as shown in Fig. 2. are the boundaries of plectonemes, where the superscripts and denote the left and right boundaries of the -th plectoneme, respectively. Along the axis, locates the -th plectoneme, while specifies the -th section of the S phase. Thus the motion of plectonemes must be accompanied by that of the stretched phase. The formation of plectonemic coils can make DNA compact by bringing distant-site together, i.e., and are in physical contact. Plectoneme propagation corresponds to the movement of and in the same direction. For example, in Fig. 2 if the -th plectoneme moves left, the S phase on the left-hand side of is transformed into the P phase while the P phase on the left-hand side of is transformed into the S phase. This process is accompanied with the internal slithering of parallel segments of the plectonemic helix(Fig. 2). Indeed, the velocity of the relative slithering is equal to the velocity of plectoneme motion (see Methods).



Such observables always evolve slowly comparing to the torque transport, independently of the contour-length (Text S5). A collective observable is associated with a certain amount of free energy, with its gradient along as a driving force to reach the free energy minimaWeinan (2011). Based on this idea we derive below the free energy and the dynamic equations associated with the slow variable .
Free energy associated with the slow observables
As the torque equilibrium is reached, i.e., . The torque equilibrium at the boundaries means . Accordingly, every plectenome carries the equal . The free energy density of each plectoneme is therefore represented as Klenin et al. (1991); Rybenkov et al. (1997).
The translational displacement of the -th section of the S phase is subjected to the viscous drag along it. At and , the tension imposed on DNA is , and at the stretching end, . As the torque equilibrium is reached, the local free energy density (or force) is represented by Marko (1998, 2007).
The free energy associated with can be written as the contributions from the S and P phases
(B1) |
Langevin dynamics
The free energy gradient along serves as a driving force, which drives the transformation between S and P phases. The variable thus follows the Langevin equations , where denotes the drag coefficent for the growth or shrinkage of plectonemes, and is the white noise. Specifically, the left/right boundaries of the -plectoneme follow
(B2) |
where is drag coefficient for the growth or shrinkage of the -th plectoneme (see Methods).
It should be noted that Eq B2 should be completed with two constraints: the first one is the topology constraint (), and the second one is in-extensibility of DNA model ()(see Methods).
The equilibrium point, i.e., leads to the coexistence torque Marko (2007). Actually, the dynamics of the slow variable accompanies with a time-dependent torque, (Fig. 2). The internal torque of a DNA at length of 4500 under fluctuates around the coexistence torque, . The two-phase dynamic model can be regarded as a smoothed version of the dWLC method. Although the fluctuations faster than the torque equilibrium have been averaged out, the mean and the variance of the torque are still consistent with that obtained from the dWLC method(inset in Fig. 2).
Supercoil with a given linking number is analogous to the classical gas (van der Waals) confined inside a fixed volume (NVT ensemble)Mattis and Swendsen (2008). A DNA twisted under a constant torque , however, is analogous to the classical gas under a fixed pressure (isobaric ensemble). Its free energy densities can be obtained through the Legendre’s transformation . The free energy densities of the plectonemes and the stretched phase are therefore and , respectively. Inserting them into Eq B1 and Eq B2 we obtained the dynamic model of extended DNA supercoiling under constant torque.
Generally speaking, the stretching force, in Eq B1 or B2 is not necessarily constant. The force can be time-dependent as long as it dose not break the interphase torque equilibrium. For example, one can impose an instantaneous force. Similarly, can be time-dependent as well if it does not break the interphase torque equilibrium.
Comparing with the WLC model
In this section, by employing the dWLC method, we compare and calibrate the two-phase dynamic model via two examples. One is the supercoiling accumulation at a constantly twisting rate. The other one is supercoiling accumulation under a constant torque. In the first example, the system reaches to a two phase-coexistent state at equilibrium. We show that the two-phase dynamic model at trivial computational costs provides consistent results with the dWLC method, which demands a significant amount of computational time. In the second case, plectonemes finally dominate the supercoiling state under an external torque larger than . This non-equilibrium process helps determine the slithering drag coefficient by calibration.
Supercoil accumulation and buckling transition at a constant rate
An extended DNA undergoes linking number accumulation when one end of the DNA is rotated while the other end is kept fixed, as shown in Fig.3. The stretching force , the rotation angle and the angular velocity , equivalent to per second (i.e., comparable to polymerase enzyme unwinding and synthesizing at 100 nucleotide or nt per second)Thomen et al. (2005); Jing et al. (2018). At first, the extended DNA is twisted, and then it undergoes a buckling transition (discontinuities on torque and extension curves) followed by plectoneme formationForth et al. (2008).
We performed BD simulations of such a supercoil accumulation based on the dWLC method. In Fig. 3, the relative extension almost remains unchanged before 0.6 s while the torque gradually builds up, suggesting that the extended DNA is twisted. The buckling at about 0.6 s marks the starting-point of the phase-coexistence. The buckling transition indicates a competition between pre-plectonemic loops and stretched phaseMarko and Neukirch (2012); Mielke et al. (2004). After 0.6 s, the torque drops and converges as torsional stress on DNA is relieved, indicating the twist is transformed into writhe. These discontinuities have previously been observed in single-molecule experimentForth et al. (2008). The coexistence torque remains unchanged when more linking number is injected. Note that multiple plectonemes can co-exist in the process. The representative snapshots are also shown in Fig. 3. The unchanged torque curves or the linearly decreased extension after buckling transition suggest that the process remains quasi-static.
It should be noted here that we obtained the curves in Fig. 3 from four BD simulation trajectories using the dWLC method, and each of the trajectories requires several weeks of CPU time. The calculation of the electrostatics interaction between the charged points on segments of the dWLC model indeed dominates the computational cost (see Text S6). According to our analyses, the computational cost of the dWLC in the plectonemic phase is still significant and grows linearly with the contour-length. For example, in Fig. 1, simulating a stretched DNA of 3000 in 10 costs 3 hours while simulating a pure plectoneme of the same contour length costs one day(i.e., the CPU time). The two-phase dynamic model, however, enables us to reduce the computational cost to trivial by dealing only with the essential variables with slow dynamics. In Fig. 3, the torque and extension curves generated from the two-phase dynamic model (using tens of seconds of computation time) well reproduce those in Fig.3(b) from the dWLC method and also consistent with previous experimental and computational studiesForth et al. (2008); Ott et al. (2020).






Supercoil accumulation under a constant torque
We also performed simulations of supercoiling generation under a constant torque. Fig.3 illustrates an extended supercoil under a constant torque, (comparable to 511 torque exerted by polymerasesMa et al. (2013)), and a constant stretching force . Since the external torque is larger than (i.e., that maintains the coexistence state under 0.4 ), plectonemes are created and the ultimate equilibrium state is dominated by plectonemes. Consequently, plectonemic coils are building up until all stretched DNA is interwound to plectonemical coils.
Using the dWLC method, we can capture the dynamics of the plectoneme growth. Fig. 3 shows the measurements of the relative extensions of DNAs at 1500 (black solid squares), 3000 , 6000 and 9000 . Indeed, the shrinking extensions indicate the growth of plectonemes. The fitting curves are generated using , where is a fitting parameter. In the two-phase dynamic model, all but the slithering drag coefficients are given based on the hydrodynamics (see Methods). The slithering drag is to be determined in the two-phase model by calibrating results with the dWLC method. We performed the simulations using the two-phase dynamic model shown in Fig. 3. The slithering drag was then determined via fitting parameter Text S7). Consequently, we can then reproduce the plectoneme dynamics.
Reproducing experimentally measured plectoneme dynamics
Previous experimental studies show that the plectonemes on the extended supercoiled DNA can diffuse, vanish and re-emerge, and their dynamics depend on the stretching force and ionic strengthvan Loenhout et al. (2012).









() corresponding to the low, regular and high salt concentrations, respectively. (d) The mean lifetime of the individual plectoneme as a function of force and salt concentration. Note that only a single plectoneme is captured at and in simulations (nucleation and annihilation, however, need multiple plectonemes). (h) A typical hopping event of a displacement of plectoneme for nearly 4 in a time interval about , corresponding to 12 kbp. (i) Energetic conversion during hopping ( nucleation is, e.g, at 80 ). The total energy changes of hopping (black line) and the reversed (complementary to hopping) process (dashed line) are also shown in the inset.
In particular, the experiments also captured plectoneme hopping, in which a plectoneme vanishes at one position and a new one immediately emerges by nucleation at another remote position. By employing the two-phase dynamic model, we reproduced the plectoneme dynamics, including plectoneme diffusion, nucleation and hopping. Notably, we captured the plectoneme hoppings with significant energetic changes, which facilitate such rapid processes.
Reproducing plectoneme diffusion
The inter-phase boundaries in the two-phase dynamic model can be used to directly monitor the plectoneme dynamics. Fig. 4 shows a kymograph, i.e., the spatial vs time evolution process of the plectonemes of a 21-kbp (7) DNA (extended under a force and with ), illustrating the coexistence of multiple plectonemes, and the plectoneme nucleating and vanishing.
The simulations of a plectoneme with of the DNA contour length under different forces were performed. To estimate the diffusion constant, we measured the mean square displacement (MSD) of the plectoneme. As shown in Fig. 4, we obtained the diffusion constants via under different stretching forces. For consistency check, we also compared the results with the Einstein relation, i.e., where as a sum of the viscous drags for the transverse displacement of the plectoneme (see Methods). The diffusion constant of the plectoneme is about .
Reproducing nucleation and Measuring plectoneme life time
To compare the dynamics of the plectonemes at different stretching forces and ionic strengths, simulations of the P phase with of the DNA contour length were performed in the conditions where the stretching forces were , , and . Large stretching force results in more compact plectonemes, i.e., reduces the radius of the plectonemic helix(Fig 4). Indeed, in the coexistence state of DNA supercoiling, the equilibrium excess linking number density of the P phase is Marko (2007), which suggests that increases with .
At high salt concentration, the screening of the Coulomb repulsion potential reduces the effective repulsive DNA diameter, leading to the shorter torsional persistence length of the plectoneme and smaller radius of the plectonemic helixRybenkov et al. (1997). Meanwhile, based on the coexistence state relation , lowering increases the , i.e., making the plectonemes more compact (Fig. 4). Accordingly, we adjusted the torsional persistence length of plectoneme to represent the impacts from the ionic strengthRybenkov et al. (1997), specifically, , and to represent the low, regular and high salt concentrations, respectively.
According to Kramers’ reaction-rate theory, the nucleation rate is Daniels and Sethna (2011), where the energy barrier , which incorporates the bending energy of the loop and the loss of the elastic energy stored originally in the stretched DNA(Fig. 4)Marko and Neukirch (2012). Therefore, the large forces can lower the nucleation rate. Again, according to the relation , large force and small (high salt concentration) have a similar effect on the nucleation rate. Indeed, the nucleation rates obtained from simulations (Fig. 4) suggest that large stretching forces and the high salt concentrations (small ) can suppress the nucleation events. We derived the nucleation relation (Text S8)
(D1) |
where and are fitting parameters (dashed curves in Fig. 4). As (salt concentration decreases), the nucleation rate increases. That is because low salt concentration increases the radius of the plectonemic helices i.e., (bending energy of DNA in plectonemes increases), then lower the energy barrier from plectonemic helix to loop (reversed buckling transition, red arrow in Fig. 4). By fitting, we obtained .
The results above indicate that the plectonemes frequently vanish and re-emerge (via nucleation), which lead to the hopping. The surviving time of the individual plectoneme from nucleation to vanishing is defined as plectoneme life-time. Fig. 4 shows that the mean life-time depends on stretching force and salt concentration. The large or small increases the plectoneme life-time. As discussed above, large or small lowers the plectonemes nucleation and also leads to more compact plectonemes. The resulting compactness stabilizes existing plectonemes, which means long mean life-time of the individual plectonemes. By obtaining the balance between the plectoneme nucleation and vanishing, we can derive a mean life time of the individual plectoneme (see Text S8)
(D2) |
where and are the same as those in Eq D1.
Plectoneme hopping and the associated energetic changes
An example of hopping within about is shown in Fig.4. Plectoneme hopping is a special case of the DNA conformational rearrangementvan Loenhout et al. (2012). As addressed above, plectoneme diffusion happens comparatively slowly, only hundreds of bps per second (). Hopping , however, is a rapid process, potentially, facilitating fast site-specific recombination and enhancer activated expressionSheinin and Wang (2012). Since plectoneme hopping is related to nucleation, the large forces inhibiting the nucleation thus repress the hopping.
We also found that plectoneme hopping is associated with significant energetic changes between the two phases. We identify the nucleation as the starting point of a hopping event. Then we collected numerous simulations (5000) that contain the hopping events and aligned the starting points of the hopping events together for averaging the energetics. The energy change of the S phase accumulates up to about before the nucleation, while that of the P phase falls down to about . These significant energetic changes facilitate the abrupt nucleating-vanishing processes (Fig. 4). After the formation of the new plectoneme by nucleation, the energetic changes rapidly converge to . The energetic offsets between the two phases thus makes the total energy change smaller as thermal fluctuations, i.e.,(inset of Fig. 4). It should be noted that there is no persistent energetic injection into the system. Thus the energy change must be compensated by the complementary reversed processes (one of the multiple plectonemes vanishes, corresponding to reversed buckling transition shown in Fig. 4).
Methods


The DNA topology and in-extensibility constraints
The Brownian dynamics Eq.B2 is completed with addition of two constraints. The first one is the topology of supercoiling and the second one is the in-extensibility of the model DNA. The DNA topology constraint, i.e., , gives the allocation,
(M1) |
where and are the excess linking numbers of S and P phases, respectively. They can be written as the functions of and , i.e., and , where and satisfy the torque equilibrium .
The second constraint originates from the in-extensibility of the model DNA. Eq B2 describes the phase-transformation motion perpendicular to the stretching direction. As shown in Fig. 5, specify the -th plectoneme, and also involve the displacements of -th and -th sections of the stretched phase. This connectivity between the plectonemic and stretched phases additionally confines the translational displacements parallel to the stretching direction. Plectonemes and stretched phase are subjected to the tensions at boundaries , on which potential depends. The components of motion parallel to the stretching direction, involve the linear combinations of . Notice that the coordinate of the -th plectoneme is , where is the contour length of the -th plectoneme. The velocity of the -th stretched section is defined as . The internal slithering velocity of the parallel segments of the plectoneme . The constraints on parallel components result in mechanical balances on the stretching direction
(M2) |
where is slithering drag coefficient and is the drag coefficient for the transverse displacement of the -th plectoneme, is the white noises on the displacement, the drag coefficient for translational displacement of -th stretched section, is the white noises on the motion of the -th stretched section. The first relation in Eq M2 describes the constraints on the transverse displacement of the -th plectoneme, and the second one describes constraints between the and -th plectonemes. In the dWLC method, the effective viscous drags is for each segment. Thus where we have used and means a half of plectoneme contour length in Eq B2, and .
Neverthless, the friction coefficient for slithering is unknown. According to a relation of the slithering drag, Marko and Siggia (1994), where the plectoneme radius and and van Loenhout et al. (2012). Calibration of the two-phase model with the dWLC method gives . For supercoiling with a single plectoneme, on average, , and then the viscous drag is . According to the Einstein relation, the diffusion coefficient of individual plectoneme is .
The routine for simulating the two-phase dynamics
. Generating the conformation .
The model DNA is discretized as bins with a size , on which the integrations are numerically conducted (Fig. 5). The observable follows Eq B2 under constraints Eqs M1 and M2. We select the time-step as , specifically, and for and , respectively. At each time-step, Eq B2 and constraints Eqs M1 and M2 together constitute the self-consistent equations that can be numerically solved with iteration procedure. Take 20 iteration cycles at each time-step, and the convergence (relative deviation of ) is achieved within 10 iteration cycles.
. Sampling new plectonemes. The energy of the supercoiled DNA with n tentative loops for nucleation is
(M3) |
where is the energy penalty for looping at location Marko and Neukirch (2012). The excess linking number of the tentative loops is , where the relative twist is proportional to torque, i.e., . The time-scale for looping is on microsecondsDaniels and Sethna (2011), much shorter than . We thus assume that a portion of is stored in loops, then the tentative state follows the two constraints and where and are the contour length and linking number of the S phase of the tentative state, respectively, and the contour length of a loop is Marko and Neukirch (2012).

The loops along the stretched DNA can be regarded as hard-core particles occupying a 1-dimensional discrete bins (Fig. 5), where each bin characterizes the size of the thermal fluctuations of the DNA. The length of each bin , defined as the transverse amplitude of the fluctuationsMarko and Siggia (1995b); Marko and Neukirch (2012). Define a partition function of the tentative state with n loops,
(M4) |
where denotes the location of the i-th tentative loop. Accordingly, is the probability of the supercoiling without tentative loops and is the probability of supercoiling with tentative loops. According to the kinetic Monte Carlo methodVan Santen and Sautet (2015), generate a random in (0,1). The range (0,1) is divided into , ,,, where and (often ). If lies in , the state with n loops is sampled. The same procedure is applied to locate the loops according to the distribution . (For a fully stretched DNA, distribution Eq.M4 implies an entropy brought by loops, i.e., , the bins occupied by identical particles Marko and Neukirch (2012).)
. Removing plectonemes
If plectonemes satisfy (often ). Similar to , remove the plectonemes according to the distribution . and generate and remove plectonemes according to the Boltzmann distribution.
Update the conformation , and then repeat , and . All the steps can be organized as the flow chart (Fig. 6).
Discussion and Conclusion
In this study, based on the polymer physics or the WLC model of DNA, we have constructed a two-phase dynamic model of the DNA supercoiling. To establish such a model, we demonstrate the fast dynamics of torque equilibrium within the S and P (plectonemic) phases, identify the phase boundaries as slow observables, and derive the energetics associated with the slow observables. By comparing with the WLC model, we have shown that the two-phase dynamic model provides a physically justified and efficient way in representing DNA supercoiling dynamics. The model is particularly suited for studying the plectoneme dynamics from milliseconds to seconds. Correspondingly, we have demonstrated the plectoneme diffusion, nucleation, and hopping, consistently with measurements from single molecule experimentsShashkova and Leake (2017); Sheinin and Wang (2012); van Loenhout et al. (2012).
In order to probe the time-scale separation, we have investigated the dynamics of torque approaching to equilibrium within the pure S and P phases, respectively. Based on the WLC model, the internal torque transports as twist angle propagates. Similarly, by introducing an effective twist angle of the plectonemic helix, the internal torque propagation within the P phase can be described, comparably. Such derivations are confirmed by numerical simulations based on the dWLC, which consistently show that the torque transport is fast, i.e., on either the S or P phase of the supercoiled DNA.
Accordingly, we choose the the boundaries of the S and P phases as observables to describe the slow dynamics. Based on the interphase torque equilibrium, one can then derive the free energy associated with the collective phase boundaries, and the corresponding equation of motion via the Langevin dynamics.
To compare torsional responses from the two-phase model with that from the WLC model, we tested at a constant rate of supercoil accumulation, per second, comparable to the RNA polymerization rate during transcription elongation (i.e., 100 bp per sec), in which is injected into DNA for the RNA polymerase enzyme unwinding to synthesize one nucleotideThomen et al. (2005); Jing et al. (2018). The discontinuities on torque and extension curves are reproduced by the two-phase dynamic model, which reflect the buckling transition during plectoneme nucleationForth et al. (2008); Marko and Neukirch (2012); Emanuel et al. (2013); Daniels and Sethna (2011); Walker et al. (2018); Ott et al. (2020). The torque and extension versus linking number curves suggest that the non-equilibrium effect of the supercoiling accumulation (from the growth of the plectonemic phase) induced by RNAP is constantly relaxed during each polymerization step or elongation cycle. Hence, such an RNA elongation process can be regarded as quasi-steady state. An obvious advantage of the currently developed two-phase dynamic model of DNA supercoiling comes from its trivial computational cost as we only deal with the slow degrees of freedom of the system. Besides, we performed simulations of the plectonemes growth under a constant torque since some studies also regarded RNAPs as a torsional motor which imposes a constant torqueMielke et al. (2004). We accordingly determined frictional coefficient due to slithering in plectoneme by calibrating with the WLC model.
With the two-phase dynamic model we described the DNA supercoiling dynamics and particularly reproduced the plectoneme diffusion, nucleation and hopping. The plectoneme diffusion coefficient is about 0.1 to 0.2, decreasing slightly with the stretching force. Large force indeed makes the plectoneme more compact, which increases the friction for the slithering of parallel segments of the plecoenemes. Consequently, the large force reduces the diffusive capability of plectoneme. Large stretching force also suppresses the nucleation rate, as the force increases the energy penalty for forming a loop. The ability of salt concentration to screen the electrostatic repulsion between opposing segments in plectonemes also affects the radius of plectonemic helixRybenkov et al. (1997); van Loenhout et al. (2012). Similar to large stretching force, strong ionic strength results in compact plectonemes. The resulting compact plectonemes require higher energy penalty to fluctuate, i.e., large stretching force or strong ionic strength can thus stabilize plectonemes. Accordingly, large force or strong ionic strength can prolong the mean life-time of the individual plectoneme. We also observed that a plectoneme can perform a long distance hopping. Specifically, the abruptly conformational change is accompanied by significant energetic changes. However, the total energetic change of the two phase is trivial or as small as thermal fluctuations.
Recent experiments reveal the long-distance cooperative and antagonistic dynamics between multiple RNAPsKim et al. (2019). The experimental evidences suggest that the superpcoil cancellation between adjacent RNAPs makes similar apparent transcription elongation rate. However, upon promoter repression or divergently transcribed genes, RNAPs switch their behavior from collaborative to antagonistic due to the build-up supercoils. There are two important dynamic behaviors that are incorporated in our two-phase model. First, RNAPs can be sensitive to the torque close to the stalling condition (511 )Ma et al. (2013, 2019). A static coexistence torque may not slow down or even stall the transcription elongation, but the torque fluctuation (time-dependent) may. Thus time-dependent torque may induce effects on the long-distance cooperative behaviors of RNAPs. Second, supercoil can fast propagate as twist (torque transport) or slowly propagate as writhe (e.g, plectoneme diffusion). These two kinds of supercoiling propagations are often confounded in modeling supercoiling-dependent dynamics. During transcription elongation, the build-up supercoil can be stored in writhe and can be transmitted as twist that can be felt by RNAPs as the torsional stressMa et al. (2019); Ma and Wang (2014b, a); Ma et al. (2013). The two-phase dynamic model of DNA supercoiling is expected to be applied to improve understanding the supercoiling-dependent transcription.
DNA supercoiling facilitates the site juxtaposition of two distal DNA sites by slithering opposing segments of the interwound superhelix or bending DNA to coilOram et al. (1997); Polikanov et al. (2007); Parker and Halford (1991); Marko (1997b), it then promotes protein binding or enhance the gene expressionvan den Broek et al. (2008); Liu et al. (2001); Lomholt et al. (2009). As we have seen, slithering motion of the segments in a plectomeic helix is accompanied with plectoneme diffusion. However, the diffusion may not offer an efficient mechanism for site juxtaposition. An efficient mechanism for achieving site juxtaposition is combining plectoneme diffusion and hopping. These mechanisms can be efficiently explored by employing the two phase dynamics of the DNA supercoiling which is physical justified and computationally trivial.
Acknowledgements
This work has been supported by NSFC Grant and . JY has been supported by the CMCF of UCI via NSF DMS 1763272 and the Simons Foundation grant and start-up fund from UCI. We acknowledge the computational support from the Beijing Computational Science Research Center (CSRC). Thanks Dr Xinliang Xu for discussions on the work.
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